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7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 128
NATIONAL CENTRE FOR MARITIME ENGINEERING
amp HYDRODYNAMICS
TABLES OF MATHEMATICAL
FORMULAE
January 2013
7232019 Fomula Maths
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Copyright c⃝ Dr Irene Penesis University of Tasmania AMC National Centre For
Maritime Engineering amp Hydrodynamics January 2013
Unannotated copies of the AMC ldquoTables of Mathematical
Formulaerdquo may be taken into the examination room
This document has been produced using LATEX 2ε
1
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1 Algebra
Factoring Polynomials
x2 minus y2 = (x + y)(x minus y)
x3 + y3 = (x + y)(x2 minus xy + y2)
x3 minus y3 = (x minus y)(x2 + xy + y2)
Binomial Theorem
(x + y)2 = x2 + 2xy + y2
(x minus y)2 = x2 minus 2xy + y2
(x + y)3 = x3 + 3x2y + 3xy2 + y3
(x minus y)3 = x3 minus 3x2y + 3xy2 minus y3
(x + y)n = xn + nxnminus1y + n(n minus 1)
2 xnminus2y2 + middot middot middot + nxynminus1 + yn
Quadratic Formula
If ax2 + bx + c = 0 then x = minusb plusmn radic
b2 minus 4ac
2a
Exponents and Logarithms
xmxn = xm+n xm
xn = xmminusn
(xy)n = xnyn (xm)n = xmn
xminusn = 1
xn x1n = n
radic x
xmn = nradic
xm
ln(xy) = ln x + ln y ln(xy) = ln x minus ln y
ln(xn) = n ln x lnn m = ln m
ln n
2
7232019 Fomula Maths
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2 Geometry
Geometric Formulae
Area and Circumference
Area of a triangle is 12
bh or 12
bc sin A
Area of a circle is πr2
Circumference of a circle is 2πr
Area of a sector of a circle is 1
2r2θ (arc length is rθ)
Area of a sphere is 4πr2
Curved suface area of a cylinder is 2πrh
Volume
Volume of a sphere is 4
3πr3
Volume of a cylinder is πr2h
Volume of a cone is 1
3πr2h
Distance
Distance between P 1(x1 y1) and P 2(x2 y2) d =
991770 (x2 minus x1)2 + (y2 minus y1)2
Lines
Slope of line through P 1(x1 y1) and P 2(x2 y2) m = y2 minus y1x2 minus x1
Equation of line through P 1(x1 y1) with slope m y minus y1 = m(x minus x1)
Circles
Equation of a circle with centre (h k) and radius r (x minus h)2 + (y minus k)2 = r2
Equations of Other Curves
Ellipse x2
a2 +
y2
b2 = 1
Hyperbola x2
a2 minus y2
b2 = 1
Sphere (x minus a)2 + (y minus b)2 + (z minus c)2 = r2 with centre (abc) and radius r
Paraboloid z = x2 + y2
Cone z2 = x2 + y2
Plane ax + by + cz = d
3
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3 Trigonometry
bull π radians = 180
bull 1 = π
180 rad 1 rad =
180
π
Important Angles
θ radians sin θ cos θ tan θ
0 0 0 1 0
30 π
6
1
2
radic 3
2
1radic 3
45 π4 1radic 2
1radic 2
1
60 π
3
radic 3
2
1
2
radic 3
90 π
2 1 0 minus
Fundamental Identities
tan θ = sin θcos θ
cosec θ = 1
sin θ sec θ =
1
cos θ
cot θ = 1
tan θ =
cos θ
sin θ sin2 θ + cos2 θ = 1
1 + tan2 θ = sec2 θ 1 + cot2 θ = cosec2 θ
sin(minus
θ) =minus
sin(θ) cos(minus
θ) = cos(θ)
sin(x + y) = sin x cos y + cos x sin y sin(x minus y) = sin x cos y minus cos x sin y
cos(x + y) = cos x cos y minus sin x sin y cos(x minus y) = cos x cos y + sin x sin y
tan(x + y) = tan x + tan y
1 minus tan x tan y tan(x minus y) =
tan x minus tan y
1 + tan x tan y
4
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sin x sin y = 1
2 [cos(x minus y) minus cos(x + y)] sin x cos y =
1
2 [sin(x + y) + sin(x minus y)]
cos x cos y = 1
2 [cos(x + y) + cos(x minus y)] cos x sin y =
1
2 [sin(x + y) minus sin(x minus y)]
sin x + sin y = 2 sin983080x + y
2 983081 cos983080x minus y
2 983081 sin xminus
sin y = 2cos983080x + y
2 983081 sin983080x minus y
2 983081cos x + cos y = 2cos
983080x + y
2
983081cos
983080x minus y
2
983081 cos x minus cos y = minus2sin
983080x + y
2
983081sin
983080x minus y
2
983081
sin2x = 2 sin x cos x
cos2x = cos2 x minus sin2 x = 2 cos2 x minus 1 = 1 minus 2sin2 x
sin2 x = 1
2(1 minus cos2x)
cos2 x = 12
(1 + cos 2x)
tan2x = 2tan x
1 minus tan2 x
sin A
a =
sin B
b =
sin C
c
a2 = b2 + c2 minus 2bc cos A
b
2
= a
2
+ c
2
minus 2ac cos B
c2 = a2 + b2 minus 2ab cos C
5
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4 Hyperbolic Functions
Fundamental Identities
sinh x = 12 (ex minus eminusx) cosh x = 12 (ex + eminusx)
tanh x = sinh x
cosh x cosech x =
1
sinh x
sechx = 1
cosh x coth x =
1
tanh x =
cosh x
sinh x
sinh(minusx) = minus sinh(x) cosh(minusx) = cosh(x)
cosh2 x
minussinh2 x = 1 tanh2 x + sech2x = 1
coth2 x minus cosech2x = 1
sinh(x + y) = sinh x cosh y + cosh x sinh y sinh(x minus y) = sinh x cosh y minus cosh x sinh y
cosh(x + y) = cosh x cosh y + sinh x sinh y cosh(x minus y) = cosh x cosh y minus sinh x sinh y
tanh(x + y) = tanh x + tanh y
1 + tanh x tanh y tanh(x minus y) =
tanh x minus tanh y
1 minus tanh x tanh y
sinh2x = 2sinh x cosh x
cosh 2x = cosh2 x + sinh2 x = 2 cosh2 x minus 1 = 1 + 2 sinh2 x
sinh2 x = 1
2(cosh 2x minus 1)
cosh2 x = 1
2(cosh 2x + 1)
tanh2x = 2tanh x
1 + tanh2 x
arcsinh x = ln852008
x +radic
x2 + 1852009
arccosh x = ln852008
x +radic
x2 minus 1852009
arctanh x = 1
2 ln
1 + x
1 minus x
6
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5 Complex Numbers
bull z = a + ib where a and b are real
bull reale
z
= a and
imagem
z
= b
bull i =radic minus1 i2 = minus1 i3 = minusi
bull |z| =radic
a2 + b2
bull z = a minus ib
bull z + w = z + w
bull zw = z w
bull zn = zn
bull zz = |z|2
bull z = rcis θ = r(cos θ + i sin θ) where r = |z| =radic
a2 + b2 and arg z = θ
bull |zn| = |z|n and arg zn = n arg z plusmn 2kπ
bull z1z2 = r1r2 [cis(θ1 + θ2)]
bull z1z2
= r1r2
[cis(θ1 minus θ2)]
Eulerrsquos Formula eiθ = cos θ + i sin θ
De Moivrersquos Theorem
If z = rcis θ and n is a positive integer
zn = rncis nθ
Roots of a Complex Number
Let z = rcis θ and n be a positive integer Then z has n distinct nth roots
zk = r1ncis
983080θ + 2kπ
n
983081
where k = 0 1 2 n minus 1
7
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6 Vectors
Given the vectors a = a1i + a2 j + a3k and b = b1i + b2 j + b3k
bull Length
|a
|= 991770 a21 + a22 + a23
bull Unit Vector a = a
|a|bull Dot (Scalar) product a middot b = a1b1 + a2b2 + a3b3
bull Cross (vector) product a times b =
i j k
a1 a2 a3
b1 b2 b3
= (a2b3 minus a3b2)i minus (a1b3 minus a3b1) j + (a1b2 minus a2b1)k
bull Angle θ between two vectors a and b a middot b = |a||b| cos θ
bull Scalar projection of a in the direction of b is a middot bbull Vector projection of a in the direction of b is (a middot b) bbull Scalar triple product a middot b times c = a times b middot c
Other important properties
minus a middot b times c = b middot c times a
minus a middot b times c = minusb times a middot c
minus a times (b times c) = (a middot c)b minus (a middot b)c
bull Vector equation of a line through the point (x0 y0 z0) parallel to the vector (abc) is
(xy z) = (x0 y0 z0) + t(abc)
bull Equation of the plane with normal (abc) is ax + by + cz = d
bull Velocity and acceleration of a particle r(t) is given by
v(t) = r(t) = x(t)i + y(t) j + z(t)k
and
a(t) = r(t) = x(t)i + y(t) j + z(t)k
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bull Length of a space curve between t = tA and t = tB is
l =
int tBtA
|r(t)| dt
7 Series
Geometric Series
a + ar + ar2 + ar3 + middot middot middot + arnminus1 = a(1 minus rn)
1 minus r r = 1
S infin = a
1 minus r if |r| lt 1
Important Maclaurin Series
bull 1
1 minus t = 1 + t + t2 + t3 + t4 + middot middot middot valid for |t| lt 1
bull ln(1 + t) = t minus t2
2 +
t3
3 minus t4
4 +
t5
5 minus middot middot middot valid for |t| lt 1
bull arctan t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for |t| lt 1
bull et = 1 + t + t2
2 +
t3
3 +
t4
4 + middot middot middot valid for all t
bull sin t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for all t
bull cos t = 1 minus t2
2 +
t4
4 minus t6
6 +
t8
8 minus middot middot middot valid for all t
bull sinh t = t + t3
3 +
t5
5 +
t7
7 +
t9
9 + middot middot middot valid for all t
bull cosh t = 1 + t2
2 +
t4
4 +
t6
6 +
t8
8 + middot middot middot valid for all t
bull (1 + t)α = 1 + αt + α(α minus 1)
2 t2 +
α(α minus 1)(α minus 2)
3 t3 + middot middot middot
+ α(α minus 1)(α minus 2)(α minus n + 1)n tn + middot middot middot
valid for |t| lt 1
Taylor Series
f (x) = f (x0)+(xminusx0)f prime(x0)+ 1
2(xminusx0)2f primeprime(x0)+
1
3(xminusx0)3f primeprimeprime(x0)+middot middot middot+ 1
n(xminusx0)nf (n)(x0)+middot middot middot
9
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8 Useful Formulae for Differentiation and Integration
bull d
dx (u middot v) = uprimev + uvprime
bull d
dx 983080u
v983081 =
uprimev
minusuvprime
v2
bull d
dx [f (g(x))] = f prime (g(x)) gprime(x) or
dy
dx =
dy
du
du
dx
bull If y = f (x) then y asymp dy
dxx
bullint
f (g(x)) gprime(x) dx =
int f (u) du by setting u = g(x)
bullint
u dv = uv minusint
v du
bull Area between the two curves y = f (x) and y = g(x) on the interval [a b] is
A =
int ba
|f (x) minus g(x)| dx
bull Volume of solid obtained by rotating about the x-axis is
V = π
int ba
R2 minus r2 dx
bull Volume of solid obtained by rotating about the y -axis is
V = π
int dc
R2 minus r2 dy
81 Chain Rules
bull If w = w(x y) and both x = x(t) and y = y(t) then
dw
dt =
partw
partx
dx
dt +
part w
party
dy
dt
bull If w = w(x y) and both x = x(u v) and y = y(u v) then
partw
partu =
partw
partx
partx
partu +
part w
party
party
partu
and
partw
partv =
partw
partx
partx
partv +
part w
party
party
partv
10
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82 Numerical Techniques
Trapezoidal Rule
int b
a
f (x) dx = h
2
(y0 + 2(y1 + y2 + y3 +
middot middot middot+ ynminus1) + yn)
Simpsonrsquos Ruleint ba
f (x) dx = h
3 (y0 + 4(y1 + y3 + middot middot middot + y2nminus1) + 2(y2 + y4 + middot middot middot + y2nminus2) + y2n)
Newtonrsquos Method
xn+1 = xn
minus f (xn)
f prime(xn)
n = 0 1 2
Secant Method
xn+1 = xn minus f (xn)(xn minus xnminus1)
f (xn) minus f (xnminus1)
Jacobi Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii
bi minusnsum
j=1j=i
aijx(k) j
for i = 1 2 n k = 0 1
Gauss-Seidel Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii biminus
iminus1
sum j=1
aijx(k+1) j
minus
n
sum j=i+1
aijx(k) j
for i = 1 2 n k = 0 1
Eulerrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hf (xn yn) n = 0 1 2
11
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
12
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
13
7232019 Fomula Maths
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
14
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
15
7232019 Fomula Maths
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
16
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
18
7232019 Fomula Maths
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
19
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
20
7232019 Fomula Maths
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
21
7232019 Fomula Maths
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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7232019 Fomula Maths
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
23
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
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7232019 Fomula Maths
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Copyright c⃝ Dr Irene Penesis University of Tasmania AMC National Centre For
Maritime Engineering amp Hydrodynamics January 2013
Unannotated copies of the AMC ldquoTables of Mathematical
Formulaerdquo may be taken into the examination room
This document has been produced using LATEX 2ε
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1 Algebra
Factoring Polynomials
x2 minus y2 = (x + y)(x minus y)
x3 + y3 = (x + y)(x2 minus xy + y2)
x3 minus y3 = (x minus y)(x2 + xy + y2)
Binomial Theorem
(x + y)2 = x2 + 2xy + y2
(x minus y)2 = x2 minus 2xy + y2
(x + y)3 = x3 + 3x2y + 3xy2 + y3
(x minus y)3 = x3 minus 3x2y + 3xy2 minus y3
(x + y)n = xn + nxnminus1y + n(n minus 1)
2 xnminus2y2 + middot middot middot + nxynminus1 + yn
Quadratic Formula
If ax2 + bx + c = 0 then x = minusb plusmn radic
b2 minus 4ac
2a
Exponents and Logarithms
xmxn = xm+n xm
xn = xmminusn
(xy)n = xnyn (xm)n = xmn
xminusn = 1
xn x1n = n
radic x
xmn = nradic
xm
ln(xy) = ln x + ln y ln(xy) = ln x minus ln y
ln(xn) = n ln x lnn m = ln m
ln n
2
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2 Geometry
Geometric Formulae
Area and Circumference
Area of a triangle is 12
bh or 12
bc sin A
Area of a circle is πr2
Circumference of a circle is 2πr
Area of a sector of a circle is 1
2r2θ (arc length is rθ)
Area of a sphere is 4πr2
Curved suface area of a cylinder is 2πrh
Volume
Volume of a sphere is 4
3πr3
Volume of a cylinder is πr2h
Volume of a cone is 1
3πr2h
Distance
Distance between P 1(x1 y1) and P 2(x2 y2) d =
991770 (x2 minus x1)2 + (y2 minus y1)2
Lines
Slope of line through P 1(x1 y1) and P 2(x2 y2) m = y2 minus y1x2 minus x1
Equation of line through P 1(x1 y1) with slope m y minus y1 = m(x minus x1)
Circles
Equation of a circle with centre (h k) and radius r (x minus h)2 + (y minus k)2 = r2
Equations of Other Curves
Ellipse x2
a2 +
y2
b2 = 1
Hyperbola x2
a2 minus y2
b2 = 1
Sphere (x minus a)2 + (y minus b)2 + (z minus c)2 = r2 with centre (abc) and radius r
Paraboloid z = x2 + y2
Cone z2 = x2 + y2
Plane ax + by + cz = d
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3 Trigonometry
bull π radians = 180
bull 1 = π
180 rad 1 rad =
180
π
Important Angles
θ radians sin θ cos θ tan θ
0 0 0 1 0
30 π
6
1
2
radic 3
2
1radic 3
45 π4 1radic 2
1radic 2
1
60 π
3
radic 3
2
1
2
radic 3
90 π
2 1 0 minus
Fundamental Identities
tan θ = sin θcos θ
cosec θ = 1
sin θ sec θ =
1
cos θ
cot θ = 1
tan θ =
cos θ
sin θ sin2 θ + cos2 θ = 1
1 + tan2 θ = sec2 θ 1 + cot2 θ = cosec2 θ
sin(minus
θ) =minus
sin(θ) cos(minus
θ) = cos(θ)
sin(x + y) = sin x cos y + cos x sin y sin(x minus y) = sin x cos y minus cos x sin y
cos(x + y) = cos x cos y minus sin x sin y cos(x minus y) = cos x cos y + sin x sin y
tan(x + y) = tan x + tan y
1 minus tan x tan y tan(x minus y) =
tan x minus tan y
1 + tan x tan y
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sin x sin y = 1
2 [cos(x minus y) minus cos(x + y)] sin x cos y =
1
2 [sin(x + y) + sin(x minus y)]
cos x cos y = 1
2 [cos(x + y) + cos(x minus y)] cos x sin y =
1
2 [sin(x + y) minus sin(x minus y)]
sin x + sin y = 2 sin983080x + y
2 983081 cos983080x minus y
2 983081 sin xminus
sin y = 2cos983080x + y
2 983081 sin983080x minus y
2 983081cos x + cos y = 2cos
983080x + y
2
983081cos
983080x minus y
2
983081 cos x minus cos y = minus2sin
983080x + y
2
983081sin
983080x minus y
2
983081
sin2x = 2 sin x cos x
cos2x = cos2 x minus sin2 x = 2 cos2 x minus 1 = 1 minus 2sin2 x
sin2 x = 1
2(1 minus cos2x)
cos2 x = 12
(1 + cos 2x)
tan2x = 2tan x
1 minus tan2 x
sin A
a =
sin B
b =
sin C
c
a2 = b2 + c2 minus 2bc cos A
b
2
= a
2
+ c
2
minus 2ac cos B
c2 = a2 + b2 minus 2ab cos C
5
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4 Hyperbolic Functions
Fundamental Identities
sinh x = 12 (ex minus eminusx) cosh x = 12 (ex + eminusx)
tanh x = sinh x
cosh x cosech x =
1
sinh x
sechx = 1
cosh x coth x =
1
tanh x =
cosh x
sinh x
sinh(minusx) = minus sinh(x) cosh(minusx) = cosh(x)
cosh2 x
minussinh2 x = 1 tanh2 x + sech2x = 1
coth2 x minus cosech2x = 1
sinh(x + y) = sinh x cosh y + cosh x sinh y sinh(x minus y) = sinh x cosh y minus cosh x sinh y
cosh(x + y) = cosh x cosh y + sinh x sinh y cosh(x minus y) = cosh x cosh y minus sinh x sinh y
tanh(x + y) = tanh x + tanh y
1 + tanh x tanh y tanh(x minus y) =
tanh x minus tanh y
1 minus tanh x tanh y
sinh2x = 2sinh x cosh x
cosh 2x = cosh2 x + sinh2 x = 2 cosh2 x minus 1 = 1 + 2 sinh2 x
sinh2 x = 1
2(cosh 2x minus 1)
cosh2 x = 1
2(cosh 2x + 1)
tanh2x = 2tanh x
1 + tanh2 x
arcsinh x = ln852008
x +radic
x2 + 1852009
arccosh x = ln852008
x +radic
x2 minus 1852009
arctanh x = 1
2 ln
1 + x
1 minus x
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5 Complex Numbers
bull z = a + ib where a and b are real
bull reale
z
= a and
imagem
z
= b
bull i =radic minus1 i2 = minus1 i3 = minusi
bull |z| =radic
a2 + b2
bull z = a minus ib
bull z + w = z + w
bull zw = z w
bull zn = zn
bull zz = |z|2
bull z = rcis θ = r(cos θ + i sin θ) where r = |z| =radic
a2 + b2 and arg z = θ
bull |zn| = |z|n and arg zn = n arg z plusmn 2kπ
bull z1z2 = r1r2 [cis(θ1 + θ2)]
bull z1z2
= r1r2
[cis(θ1 minus θ2)]
Eulerrsquos Formula eiθ = cos θ + i sin θ
De Moivrersquos Theorem
If z = rcis θ and n is a positive integer
zn = rncis nθ
Roots of a Complex Number
Let z = rcis θ and n be a positive integer Then z has n distinct nth roots
zk = r1ncis
983080θ + 2kπ
n
983081
where k = 0 1 2 n minus 1
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6 Vectors
Given the vectors a = a1i + a2 j + a3k and b = b1i + b2 j + b3k
bull Length
|a
|= 991770 a21 + a22 + a23
bull Unit Vector a = a
|a|bull Dot (Scalar) product a middot b = a1b1 + a2b2 + a3b3
bull Cross (vector) product a times b =
i j k
a1 a2 a3
b1 b2 b3
= (a2b3 minus a3b2)i minus (a1b3 minus a3b1) j + (a1b2 minus a2b1)k
bull Angle θ between two vectors a and b a middot b = |a||b| cos θ
bull Scalar projection of a in the direction of b is a middot bbull Vector projection of a in the direction of b is (a middot b) bbull Scalar triple product a middot b times c = a times b middot c
Other important properties
minus a middot b times c = b middot c times a
minus a middot b times c = minusb times a middot c
minus a times (b times c) = (a middot c)b minus (a middot b)c
bull Vector equation of a line through the point (x0 y0 z0) parallel to the vector (abc) is
(xy z) = (x0 y0 z0) + t(abc)
bull Equation of the plane with normal (abc) is ax + by + cz = d
bull Velocity and acceleration of a particle r(t) is given by
v(t) = r(t) = x(t)i + y(t) j + z(t)k
and
a(t) = r(t) = x(t)i + y(t) j + z(t)k
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7232019 Fomula Maths
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bull Length of a space curve between t = tA and t = tB is
l =
int tBtA
|r(t)| dt
7 Series
Geometric Series
a + ar + ar2 + ar3 + middot middot middot + arnminus1 = a(1 minus rn)
1 minus r r = 1
S infin = a
1 minus r if |r| lt 1
Important Maclaurin Series
bull 1
1 minus t = 1 + t + t2 + t3 + t4 + middot middot middot valid for |t| lt 1
bull ln(1 + t) = t minus t2
2 +
t3
3 minus t4
4 +
t5
5 minus middot middot middot valid for |t| lt 1
bull arctan t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for |t| lt 1
bull et = 1 + t + t2
2 +
t3
3 +
t4
4 + middot middot middot valid for all t
bull sin t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for all t
bull cos t = 1 minus t2
2 +
t4
4 minus t6
6 +
t8
8 minus middot middot middot valid for all t
bull sinh t = t + t3
3 +
t5
5 +
t7
7 +
t9
9 + middot middot middot valid for all t
bull cosh t = 1 + t2
2 +
t4
4 +
t6
6 +
t8
8 + middot middot middot valid for all t
bull (1 + t)α = 1 + αt + α(α minus 1)
2 t2 +
α(α minus 1)(α minus 2)
3 t3 + middot middot middot
+ α(α minus 1)(α minus 2)(α minus n + 1)n tn + middot middot middot
valid for |t| lt 1
Taylor Series
f (x) = f (x0)+(xminusx0)f prime(x0)+ 1
2(xminusx0)2f primeprime(x0)+
1
3(xminusx0)3f primeprimeprime(x0)+middot middot middot+ 1
n(xminusx0)nf (n)(x0)+middot middot middot
9
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8 Useful Formulae for Differentiation and Integration
bull d
dx (u middot v) = uprimev + uvprime
bull d
dx 983080u
v983081 =
uprimev
minusuvprime
v2
bull d
dx [f (g(x))] = f prime (g(x)) gprime(x) or
dy
dx =
dy
du
du
dx
bull If y = f (x) then y asymp dy
dxx
bullint
f (g(x)) gprime(x) dx =
int f (u) du by setting u = g(x)
bullint
u dv = uv minusint
v du
bull Area between the two curves y = f (x) and y = g(x) on the interval [a b] is
A =
int ba
|f (x) minus g(x)| dx
bull Volume of solid obtained by rotating about the x-axis is
V = π
int ba
R2 minus r2 dx
bull Volume of solid obtained by rotating about the y -axis is
V = π
int dc
R2 minus r2 dy
81 Chain Rules
bull If w = w(x y) and both x = x(t) and y = y(t) then
dw
dt =
partw
partx
dx
dt +
part w
party
dy
dt
bull If w = w(x y) and both x = x(u v) and y = y(u v) then
partw
partu =
partw
partx
partx
partu +
part w
party
party
partu
and
partw
partv =
partw
partx
partx
partv +
part w
party
party
partv
10
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82 Numerical Techniques
Trapezoidal Rule
int b
a
f (x) dx = h
2
(y0 + 2(y1 + y2 + y3 +
middot middot middot+ ynminus1) + yn)
Simpsonrsquos Ruleint ba
f (x) dx = h
3 (y0 + 4(y1 + y3 + middot middot middot + y2nminus1) + 2(y2 + y4 + middot middot middot + y2nminus2) + y2n)
Newtonrsquos Method
xn+1 = xn
minus f (xn)
f prime(xn)
n = 0 1 2
Secant Method
xn+1 = xn minus f (xn)(xn minus xnminus1)
f (xn) minus f (xnminus1)
Jacobi Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii
bi minusnsum
j=1j=i
aijx(k) j
for i = 1 2 n k = 0 1
Gauss-Seidel Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii biminus
iminus1
sum j=1
aijx(k+1) j
minus
n
sum j=i+1
aijx(k) j
for i = 1 2 n k = 0 1
Eulerrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hf (xn yn) n = 0 1 2
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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7232019 Fomula Maths
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1 Algebra
Factoring Polynomials
x2 minus y2 = (x + y)(x minus y)
x3 + y3 = (x + y)(x2 minus xy + y2)
x3 minus y3 = (x minus y)(x2 + xy + y2)
Binomial Theorem
(x + y)2 = x2 + 2xy + y2
(x minus y)2 = x2 minus 2xy + y2
(x + y)3 = x3 + 3x2y + 3xy2 + y3
(x minus y)3 = x3 minus 3x2y + 3xy2 minus y3
(x + y)n = xn + nxnminus1y + n(n minus 1)
2 xnminus2y2 + middot middot middot + nxynminus1 + yn
Quadratic Formula
If ax2 + bx + c = 0 then x = minusb plusmn radic
b2 minus 4ac
2a
Exponents and Logarithms
xmxn = xm+n xm
xn = xmminusn
(xy)n = xnyn (xm)n = xmn
xminusn = 1
xn x1n = n
radic x
xmn = nradic
xm
ln(xy) = ln x + ln y ln(xy) = ln x minus ln y
ln(xn) = n ln x lnn m = ln m
ln n
2
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2 Geometry
Geometric Formulae
Area and Circumference
Area of a triangle is 12
bh or 12
bc sin A
Area of a circle is πr2
Circumference of a circle is 2πr
Area of a sector of a circle is 1
2r2θ (arc length is rθ)
Area of a sphere is 4πr2
Curved suface area of a cylinder is 2πrh
Volume
Volume of a sphere is 4
3πr3
Volume of a cylinder is πr2h
Volume of a cone is 1
3πr2h
Distance
Distance between P 1(x1 y1) and P 2(x2 y2) d =
991770 (x2 minus x1)2 + (y2 minus y1)2
Lines
Slope of line through P 1(x1 y1) and P 2(x2 y2) m = y2 minus y1x2 minus x1
Equation of line through P 1(x1 y1) with slope m y minus y1 = m(x minus x1)
Circles
Equation of a circle with centre (h k) and radius r (x minus h)2 + (y minus k)2 = r2
Equations of Other Curves
Ellipse x2
a2 +
y2
b2 = 1
Hyperbola x2
a2 minus y2
b2 = 1
Sphere (x minus a)2 + (y minus b)2 + (z minus c)2 = r2 with centre (abc) and radius r
Paraboloid z = x2 + y2
Cone z2 = x2 + y2
Plane ax + by + cz = d
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3 Trigonometry
bull π radians = 180
bull 1 = π
180 rad 1 rad =
180
π
Important Angles
θ radians sin θ cos θ tan θ
0 0 0 1 0
30 π
6
1
2
radic 3
2
1radic 3
45 π4 1radic 2
1radic 2
1
60 π
3
radic 3
2
1
2
radic 3
90 π
2 1 0 minus
Fundamental Identities
tan θ = sin θcos θ
cosec θ = 1
sin θ sec θ =
1
cos θ
cot θ = 1
tan θ =
cos θ
sin θ sin2 θ + cos2 θ = 1
1 + tan2 θ = sec2 θ 1 + cot2 θ = cosec2 θ
sin(minus
θ) =minus
sin(θ) cos(minus
θ) = cos(θ)
sin(x + y) = sin x cos y + cos x sin y sin(x minus y) = sin x cos y minus cos x sin y
cos(x + y) = cos x cos y minus sin x sin y cos(x minus y) = cos x cos y + sin x sin y
tan(x + y) = tan x + tan y
1 minus tan x tan y tan(x minus y) =
tan x minus tan y
1 + tan x tan y
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sin x sin y = 1
2 [cos(x minus y) minus cos(x + y)] sin x cos y =
1
2 [sin(x + y) + sin(x minus y)]
cos x cos y = 1
2 [cos(x + y) + cos(x minus y)] cos x sin y =
1
2 [sin(x + y) minus sin(x minus y)]
sin x + sin y = 2 sin983080x + y
2 983081 cos983080x minus y
2 983081 sin xminus
sin y = 2cos983080x + y
2 983081 sin983080x minus y
2 983081cos x + cos y = 2cos
983080x + y
2
983081cos
983080x minus y
2
983081 cos x minus cos y = minus2sin
983080x + y
2
983081sin
983080x minus y
2
983081
sin2x = 2 sin x cos x
cos2x = cos2 x minus sin2 x = 2 cos2 x minus 1 = 1 minus 2sin2 x
sin2 x = 1
2(1 minus cos2x)
cos2 x = 12
(1 + cos 2x)
tan2x = 2tan x
1 minus tan2 x
sin A
a =
sin B
b =
sin C
c
a2 = b2 + c2 minus 2bc cos A
b
2
= a
2
+ c
2
minus 2ac cos B
c2 = a2 + b2 minus 2ab cos C
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4 Hyperbolic Functions
Fundamental Identities
sinh x = 12 (ex minus eminusx) cosh x = 12 (ex + eminusx)
tanh x = sinh x
cosh x cosech x =
1
sinh x
sechx = 1
cosh x coth x =
1
tanh x =
cosh x
sinh x
sinh(minusx) = minus sinh(x) cosh(minusx) = cosh(x)
cosh2 x
minussinh2 x = 1 tanh2 x + sech2x = 1
coth2 x minus cosech2x = 1
sinh(x + y) = sinh x cosh y + cosh x sinh y sinh(x minus y) = sinh x cosh y minus cosh x sinh y
cosh(x + y) = cosh x cosh y + sinh x sinh y cosh(x minus y) = cosh x cosh y minus sinh x sinh y
tanh(x + y) = tanh x + tanh y
1 + tanh x tanh y tanh(x minus y) =
tanh x minus tanh y
1 minus tanh x tanh y
sinh2x = 2sinh x cosh x
cosh 2x = cosh2 x + sinh2 x = 2 cosh2 x minus 1 = 1 + 2 sinh2 x
sinh2 x = 1
2(cosh 2x minus 1)
cosh2 x = 1
2(cosh 2x + 1)
tanh2x = 2tanh x
1 + tanh2 x
arcsinh x = ln852008
x +radic
x2 + 1852009
arccosh x = ln852008
x +radic
x2 minus 1852009
arctanh x = 1
2 ln
1 + x
1 minus x
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5 Complex Numbers
bull z = a + ib where a and b are real
bull reale
z
= a and
imagem
z
= b
bull i =radic minus1 i2 = minus1 i3 = minusi
bull |z| =radic
a2 + b2
bull z = a minus ib
bull z + w = z + w
bull zw = z w
bull zn = zn
bull zz = |z|2
bull z = rcis θ = r(cos θ + i sin θ) where r = |z| =radic
a2 + b2 and arg z = θ
bull |zn| = |z|n and arg zn = n arg z plusmn 2kπ
bull z1z2 = r1r2 [cis(θ1 + θ2)]
bull z1z2
= r1r2
[cis(θ1 minus θ2)]
Eulerrsquos Formula eiθ = cos θ + i sin θ
De Moivrersquos Theorem
If z = rcis θ and n is a positive integer
zn = rncis nθ
Roots of a Complex Number
Let z = rcis θ and n be a positive integer Then z has n distinct nth roots
zk = r1ncis
983080θ + 2kπ
n
983081
where k = 0 1 2 n minus 1
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6 Vectors
Given the vectors a = a1i + a2 j + a3k and b = b1i + b2 j + b3k
bull Length
|a
|= 991770 a21 + a22 + a23
bull Unit Vector a = a
|a|bull Dot (Scalar) product a middot b = a1b1 + a2b2 + a3b3
bull Cross (vector) product a times b =
i j k
a1 a2 a3
b1 b2 b3
= (a2b3 minus a3b2)i minus (a1b3 minus a3b1) j + (a1b2 minus a2b1)k
bull Angle θ between two vectors a and b a middot b = |a||b| cos θ
bull Scalar projection of a in the direction of b is a middot bbull Vector projection of a in the direction of b is (a middot b) bbull Scalar triple product a middot b times c = a times b middot c
Other important properties
minus a middot b times c = b middot c times a
minus a middot b times c = minusb times a middot c
minus a times (b times c) = (a middot c)b minus (a middot b)c
bull Vector equation of a line through the point (x0 y0 z0) parallel to the vector (abc) is
(xy z) = (x0 y0 z0) + t(abc)
bull Equation of the plane with normal (abc) is ax + by + cz = d
bull Velocity and acceleration of a particle r(t) is given by
v(t) = r(t) = x(t)i + y(t) j + z(t)k
and
a(t) = r(t) = x(t)i + y(t) j + z(t)k
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bull Length of a space curve between t = tA and t = tB is
l =
int tBtA
|r(t)| dt
7 Series
Geometric Series
a + ar + ar2 + ar3 + middot middot middot + arnminus1 = a(1 minus rn)
1 minus r r = 1
S infin = a
1 minus r if |r| lt 1
Important Maclaurin Series
bull 1
1 minus t = 1 + t + t2 + t3 + t4 + middot middot middot valid for |t| lt 1
bull ln(1 + t) = t minus t2
2 +
t3
3 minus t4
4 +
t5
5 minus middot middot middot valid for |t| lt 1
bull arctan t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for |t| lt 1
bull et = 1 + t + t2
2 +
t3
3 +
t4
4 + middot middot middot valid for all t
bull sin t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for all t
bull cos t = 1 minus t2
2 +
t4
4 minus t6
6 +
t8
8 minus middot middot middot valid for all t
bull sinh t = t + t3
3 +
t5
5 +
t7
7 +
t9
9 + middot middot middot valid for all t
bull cosh t = 1 + t2
2 +
t4
4 +
t6
6 +
t8
8 + middot middot middot valid for all t
bull (1 + t)α = 1 + αt + α(α minus 1)
2 t2 +
α(α minus 1)(α minus 2)
3 t3 + middot middot middot
+ α(α minus 1)(α minus 2)(α minus n + 1)n tn + middot middot middot
valid for |t| lt 1
Taylor Series
f (x) = f (x0)+(xminusx0)f prime(x0)+ 1
2(xminusx0)2f primeprime(x0)+
1
3(xminusx0)3f primeprimeprime(x0)+middot middot middot+ 1
n(xminusx0)nf (n)(x0)+middot middot middot
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8 Useful Formulae for Differentiation and Integration
bull d
dx (u middot v) = uprimev + uvprime
bull d
dx 983080u
v983081 =
uprimev
minusuvprime
v2
bull d
dx [f (g(x))] = f prime (g(x)) gprime(x) or
dy
dx =
dy
du
du
dx
bull If y = f (x) then y asymp dy
dxx
bullint
f (g(x)) gprime(x) dx =
int f (u) du by setting u = g(x)
bullint
u dv = uv minusint
v du
bull Area between the two curves y = f (x) and y = g(x) on the interval [a b] is
A =
int ba
|f (x) minus g(x)| dx
bull Volume of solid obtained by rotating about the x-axis is
V = π
int ba
R2 minus r2 dx
bull Volume of solid obtained by rotating about the y -axis is
V = π
int dc
R2 minus r2 dy
81 Chain Rules
bull If w = w(x y) and both x = x(t) and y = y(t) then
dw
dt =
partw
partx
dx
dt +
part w
party
dy
dt
bull If w = w(x y) and both x = x(u v) and y = y(u v) then
partw
partu =
partw
partx
partx
partu +
part w
party
party
partu
and
partw
partv =
partw
partx
partx
partv +
part w
party
party
partv
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82 Numerical Techniques
Trapezoidal Rule
int b
a
f (x) dx = h
2
(y0 + 2(y1 + y2 + y3 +
middot middot middot+ ynminus1) + yn)
Simpsonrsquos Ruleint ba
f (x) dx = h
3 (y0 + 4(y1 + y3 + middot middot middot + y2nminus1) + 2(y2 + y4 + middot middot middot + y2nminus2) + y2n)
Newtonrsquos Method
xn+1 = xn
minus f (xn)
f prime(xn)
n = 0 1 2
Secant Method
xn+1 = xn minus f (xn)(xn minus xnminus1)
f (xn) minus f (xnminus1)
Jacobi Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii
bi minusnsum
j=1j=i
aijx(k) j
for i = 1 2 n k = 0 1
Gauss-Seidel Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii biminus
iminus1
sum j=1
aijx(k+1) j
minus
n
sum j=i+1
aijx(k) j
for i = 1 2 n k = 0 1
Eulerrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hf (xn yn) n = 0 1 2
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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2 Geometry
Geometric Formulae
Area and Circumference
Area of a triangle is 12
bh or 12
bc sin A
Area of a circle is πr2
Circumference of a circle is 2πr
Area of a sector of a circle is 1
2r2θ (arc length is rθ)
Area of a sphere is 4πr2
Curved suface area of a cylinder is 2πrh
Volume
Volume of a sphere is 4
3πr3
Volume of a cylinder is πr2h
Volume of a cone is 1
3πr2h
Distance
Distance between P 1(x1 y1) and P 2(x2 y2) d =
991770 (x2 minus x1)2 + (y2 minus y1)2
Lines
Slope of line through P 1(x1 y1) and P 2(x2 y2) m = y2 minus y1x2 minus x1
Equation of line through P 1(x1 y1) with slope m y minus y1 = m(x minus x1)
Circles
Equation of a circle with centre (h k) and radius r (x minus h)2 + (y minus k)2 = r2
Equations of Other Curves
Ellipse x2
a2 +
y2
b2 = 1
Hyperbola x2
a2 minus y2
b2 = 1
Sphere (x minus a)2 + (y minus b)2 + (z minus c)2 = r2 with centre (abc) and radius r
Paraboloid z = x2 + y2
Cone z2 = x2 + y2
Plane ax + by + cz = d
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3 Trigonometry
bull π radians = 180
bull 1 = π
180 rad 1 rad =
180
π
Important Angles
θ radians sin θ cos θ tan θ
0 0 0 1 0
30 π
6
1
2
radic 3
2
1radic 3
45 π4 1radic 2
1radic 2
1
60 π
3
radic 3
2
1
2
radic 3
90 π
2 1 0 minus
Fundamental Identities
tan θ = sin θcos θ
cosec θ = 1
sin θ sec θ =
1
cos θ
cot θ = 1
tan θ =
cos θ
sin θ sin2 θ + cos2 θ = 1
1 + tan2 θ = sec2 θ 1 + cot2 θ = cosec2 θ
sin(minus
θ) =minus
sin(θ) cos(minus
θ) = cos(θ)
sin(x + y) = sin x cos y + cos x sin y sin(x minus y) = sin x cos y minus cos x sin y
cos(x + y) = cos x cos y minus sin x sin y cos(x minus y) = cos x cos y + sin x sin y
tan(x + y) = tan x + tan y
1 minus tan x tan y tan(x minus y) =
tan x minus tan y
1 + tan x tan y
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sin x sin y = 1
2 [cos(x minus y) minus cos(x + y)] sin x cos y =
1
2 [sin(x + y) + sin(x minus y)]
cos x cos y = 1
2 [cos(x + y) + cos(x minus y)] cos x sin y =
1
2 [sin(x + y) minus sin(x minus y)]
sin x + sin y = 2 sin983080x + y
2 983081 cos983080x minus y
2 983081 sin xminus
sin y = 2cos983080x + y
2 983081 sin983080x minus y
2 983081cos x + cos y = 2cos
983080x + y
2
983081cos
983080x minus y
2
983081 cos x minus cos y = minus2sin
983080x + y
2
983081sin
983080x minus y
2
983081
sin2x = 2 sin x cos x
cos2x = cos2 x minus sin2 x = 2 cos2 x minus 1 = 1 minus 2sin2 x
sin2 x = 1
2(1 minus cos2x)
cos2 x = 12
(1 + cos 2x)
tan2x = 2tan x
1 minus tan2 x
sin A
a =
sin B
b =
sin C
c
a2 = b2 + c2 minus 2bc cos A
b
2
= a
2
+ c
2
minus 2ac cos B
c2 = a2 + b2 minus 2ab cos C
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4 Hyperbolic Functions
Fundamental Identities
sinh x = 12 (ex minus eminusx) cosh x = 12 (ex + eminusx)
tanh x = sinh x
cosh x cosech x =
1
sinh x
sechx = 1
cosh x coth x =
1
tanh x =
cosh x
sinh x
sinh(minusx) = minus sinh(x) cosh(minusx) = cosh(x)
cosh2 x
minussinh2 x = 1 tanh2 x + sech2x = 1
coth2 x minus cosech2x = 1
sinh(x + y) = sinh x cosh y + cosh x sinh y sinh(x minus y) = sinh x cosh y minus cosh x sinh y
cosh(x + y) = cosh x cosh y + sinh x sinh y cosh(x minus y) = cosh x cosh y minus sinh x sinh y
tanh(x + y) = tanh x + tanh y
1 + tanh x tanh y tanh(x minus y) =
tanh x minus tanh y
1 minus tanh x tanh y
sinh2x = 2sinh x cosh x
cosh 2x = cosh2 x + sinh2 x = 2 cosh2 x minus 1 = 1 + 2 sinh2 x
sinh2 x = 1
2(cosh 2x minus 1)
cosh2 x = 1
2(cosh 2x + 1)
tanh2x = 2tanh x
1 + tanh2 x
arcsinh x = ln852008
x +radic
x2 + 1852009
arccosh x = ln852008
x +radic
x2 minus 1852009
arctanh x = 1
2 ln
1 + x
1 minus x
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5 Complex Numbers
bull z = a + ib where a and b are real
bull reale
z
= a and
imagem
z
= b
bull i =radic minus1 i2 = minus1 i3 = minusi
bull |z| =radic
a2 + b2
bull z = a minus ib
bull z + w = z + w
bull zw = z w
bull zn = zn
bull zz = |z|2
bull z = rcis θ = r(cos θ + i sin θ) where r = |z| =radic
a2 + b2 and arg z = θ
bull |zn| = |z|n and arg zn = n arg z plusmn 2kπ
bull z1z2 = r1r2 [cis(θ1 + θ2)]
bull z1z2
= r1r2
[cis(θ1 minus θ2)]
Eulerrsquos Formula eiθ = cos θ + i sin θ
De Moivrersquos Theorem
If z = rcis θ and n is a positive integer
zn = rncis nθ
Roots of a Complex Number
Let z = rcis θ and n be a positive integer Then z has n distinct nth roots
zk = r1ncis
983080θ + 2kπ
n
983081
where k = 0 1 2 n minus 1
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6 Vectors
Given the vectors a = a1i + a2 j + a3k and b = b1i + b2 j + b3k
bull Length
|a
|= 991770 a21 + a22 + a23
bull Unit Vector a = a
|a|bull Dot (Scalar) product a middot b = a1b1 + a2b2 + a3b3
bull Cross (vector) product a times b =
i j k
a1 a2 a3
b1 b2 b3
= (a2b3 minus a3b2)i minus (a1b3 minus a3b1) j + (a1b2 minus a2b1)k
bull Angle θ between two vectors a and b a middot b = |a||b| cos θ
bull Scalar projection of a in the direction of b is a middot bbull Vector projection of a in the direction of b is (a middot b) bbull Scalar triple product a middot b times c = a times b middot c
Other important properties
minus a middot b times c = b middot c times a
minus a middot b times c = minusb times a middot c
minus a times (b times c) = (a middot c)b minus (a middot b)c
bull Vector equation of a line through the point (x0 y0 z0) parallel to the vector (abc) is
(xy z) = (x0 y0 z0) + t(abc)
bull Equation of the plane with normal (abc) is ax + by + cz = d
bull Velocity and acceleration of a particle r(t) is given by
v(t) = r(t) = x(t)i + y(t) j + z(t)k
and
a(t) = r(t) = x(t)i + y(t) j + z(t)k
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bull Length of a space curve between t = tA and t = tB is
l =
int tBtA
|r(t)| dt
7 Series
Geometric Series
a + ar + ar2 + ar3 + middot middot middot + arnminus1 = a(1 minus rn)
1 minus r r = 1
S infin = a
1 minus r if |r| lt 1
Important Maclaurin Series
bull 1
1 minus t = 1 + t + t2 + t3 + t4 + middot middot middot valid for |t| lt 1
bull ln(1 + t) = t minus t2
2 +
t3
3 minus t4
4 +
t5
5 minus middot middot middot valid for |t| lt 1
bull arctan t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for |t| lt 1
bull et = 1 + t + t2
2 +
t3
3 +
t4
4 + middot middot middot valid for all t
bull sin t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for all t
bull cos t = 1 minus t2
2 +
t4
4 minus t6
6 +
t8
8 minus middot middot middot valid for all t
bull sinh t = t + t3
3 +
t5
5 +
t7
7 +
t9
9 + middot middot middot valid for all t
bull cosh t = 1 + t2
2 +
t4
4 +
t6
6 +
t8
8 + middot middot middot valid for all t
bull (1 + t)α = 1 + αt + α(α minus 1)
2 t2 +
α(α minus 1)(α minus 2)
3 t3 + middot middot middot
+ α(α minus 1)(α minus 2)(α minus n + 1)n tn + middot middot middot
valid for |t| lt 1
Taylor Series
f (x) = f (x0)+(xminusx0)f prime(x0)+ 1
2(xminusx0)2f primeprime(x0)+
1
3(xminusx0)3f primeprimeprime(x0)+middot middot middot+ 1
n(xminusx0)nf (n)(x0)+middot middot middot
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8 Useful Formulae for Differentiation and Integration
bull d
dx (u middot v) = uprimev + uvprime
bull d
dx 983080u
v983081 =
uprimev
minusuvprime
v2
bull d
dx [f (g(x))] = f prime (g(x)) gprime(x) or
dy
dx =
dy
du
du
dx
bull If y = f (x) then y asymp dy
dxx
bullint
f (g(x)) gprime(x) dx =
int f (u) du by setting u = g(x)
bullint
u dv = uv minusint
v du
bull Area between the two curves y = f (x) and y = g(x) on the interval [a b] is
A =
int ba
|f (x) minus g(x)| dx
bull Volume of solid obtained by rotating about the x-axis is
V = π
int ba
R2 minus r2 dx
bull Volume of solid obtained by rotating about the y -axis is
V = π
int dc
R2 minus r2 dy
81 Chain Rules
bull If w = w(x y) and both x = x(t) and y = y(t) then
dw
dt =
partw
partx
dx
dt +
part w
party
dy
dt
bull If w = w(x y) and both x = x(u v) and y = y(u v) then
partw
partu =
partw
partx
partx
partu +
part w
party
party
partu
and
partw
partv =
partw
partx
partx
partv +
part w
party
party
partv
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82 Numerical Techniques
Trapezoidal Rule
int b
a
f (x) dx = h
2
(y0 + 2(y1 + y2 + y3 +
middot middot middot+ ynminus1) + yn)
Simpsonrsquos Ruleint ba
f (x) dx = h
3 (y0 + 4(y1 + y3 + middot middot middot + y2nminus1) + 2(y2 + y4 + middot middot middot + y2nminus2) + y2n)
Newtonrsquos Method
xn+1 = xn
minus f (xn)
f prime(xn)
n = 0 1 2
Secant Method
xn+1 = xn minus f (xn)(xn minus xnminus1)
f (xn) minus f (xnminus1)
Jacobi Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii
bi minusnsum
j=1j=i
aijx(k) j
for i = 1 2 n k = 0 1
Gauss-Seidel Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii biminus
iminus1
sum j=1
aijx(k+1) j
minus
n
sum j=i+1
aijx(k) j
for i = 1 2 n k = 0 1
Eulerrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hf (xn yn) n = 0 1 2
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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3 Trigonometry
bull π radians = 180
bull 1 = π
180 rad 1 rad =
180
π
Important Angles
θ radians sin θ cos θ tan θ
0 0 0 1 0
30 π
6
1
2
radic 3
2
1radic 3
45 π4 1radic 2
1radic 2
1
60 π
3
radic 3
2
1
2
radic 3
90 π
2 1 0 minus
Fundamental Identities
tan θ = sin θcos θ
cosec θ = 1
sin θ sec θ =
1
cos θ
cot θ = 1
tan θ =
cos θ
sin θ sin2 θ + cos2 θ = 1
1 + tan2 θ = sec2 θ 1 + cot2 θ = cosec2 θ
sin(minus
θ) =minus
sin(θ) cos(minus
θ) = cos(θ)
sin(x + y) = sin x cos y + cos x sin y sin(x minus y) = sin x cos y minus cos x sin y
cos(x + y) = cos x cos y minus sin x sin y cos(x minus y) = cos x cos y + sin x sin y
tan(x + y) = tan x + tan y
1 minus tan x tan y tan(x minus y) =
tan x minus tan y
1 + tan x tan y
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sin x sin y = 1
2 [cos(x minus y) minus cos(x + y)] sin x cos y =
1
2 [sin(x + y) + sin(x minus y)]
cos x cos y = 1
2 [cos(x + y) + cos(x minus y)] cos x sin y =
1
2 [sin(x + y) minus sin(x minus y)]
sin x + sin y = 2 sin983080x + y
2 983081 cos983080x minus y
2 983081 sin xminus
sin y = 2cos983080x + y
2 983081 sin983080x minus y
2 983081cos x + cos y = 2cos
983080x + y
2
983081cos
983080x minus y
2
983081 cos x minus cos y = minus2sin
983080x + y
2
983081sin
983080x minus y
2
983081
sin2x = 2 sin x cos x
cos2x = cos2 x minus sin2 x = 2 cos2 x minus 1 = 1 minus 2sin2 x
sin2 x = 1
2(1 minus cos2x)
cos2 x = 12
(1 + cos 2x)
tan2x = 2tan x
1 minus tan2 x
sin A
a =
sin B
b =
sin C
c
a2 = b2 + c2 minus 2bc cos A
b
2
= a
2
+ c
2
minus 2ac cos B
c2 = a2 + b2 minus 2ab cos C
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4 Hyperbolic Functions
Fundamental Identities
sinh x = 12 (ex minus eminusx) cosh x = 12 (ex + eminusx)
tanh x = sinh x
cosh x cosech x =
1
sinh x
sechx = 1
cosh x coth x =
1
tanh x =
cosh x
sinh x
sinh(minusx) = minus sinh(x) cosh(minusx) = cosh(x)
cosh2 x
minussinh2 x = 1 tanh2 x + sech2x = 1
coth2 x minus cosech2x = 1
sinh(x + y) = sinh x cosh y + cosh x sinh y sinh(x minus y) = sinh x cosh y minus cosh x sinh y
cosh(x + y) = cosh x cosh y + sinh x sinh y cosh(x minus y) = cosh x cosh y minus sinh x sinh y
tanh(x + y) = tanh x + tanh y
1 + tanh x tanh y tanh(x minus y) =
tanh x minus tanh y
1 minus tanh x tanh y
sinh2x = 2sinh x cosh x
cosh 2x = cosh2 x + sinh2 x = 2 cosh2 x minus 1 = 1 + 2 sinh2 x
sinh2 x = 1
2(cosh 2x minus 1)
cosh2 x = 1
2(cosh 2x + 1)
tanh2x = 2tanh x
1 + tanh2 x
arcsinh x = ln852008
x +radic
x2 + 1852009
arccosh x = ln852008
x +radic
x2 minus 1852009
arctanh x = 1
2 ln
1 + x
1 minus x
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5 Complex Numbers
bull z = a + ib where a and b are real
bull reale
z
= a and
imagem
z
= b
bull i =radic minus1 i2 = minus1 i3 = minusi
bull |z| =radic
a2 + b2
bull z = a minus ib
bull z + w = z + w
bull zw = z w
bull zn = zn
bull zz = |z|2
bull z = rcis θ = r(cos θ + i sin θ) where r = |z| =radic
a2 + b2 and arg z = θ
bull |zn| = |z|n and arg zn = n arg z plusmn 2kπ
bull z1z2 = r1r2 [cis(θ1 + θ2)]
bull z1z2
= r1r2
[cis(θ1 minus θ2)]
Eulerrsquos Formula eiθ = cos θ + i sin θ
De Moivrersquos Theorem
If z = rcis θ and n is a positive integer
zn = rncis nθ
Roots of a Complex Number
Let z = rcis θ and n be a positive integer Then z has n distinct nth roots
zk = r1ncis
983080θ + 2kπ
n
983081
where k = 0 1 2 n minus 1
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6 Vectors
Given the vectors a = a1i + a2 j + a3k and b = b1i + b2 j + b3k
bull Length
|a
|= 991770 a21 + a22 + a23
bull Unit Vector a = a
|a|bull Dot (Scalar) product a middot b = a1b1 + a2b2 + a3b3
bull Cross (vector) product a times b =
i j k
a1 a2 a3
b1 b2 b3
= (a2b3 minus a3b2)i minus (a1b3 minus a3b1) j + (a1b2 minus a2b1)k
bull Angle θ between two vectors a and b a middot b = |a||b| cos θ
bull Scalar projection of a in the direction of b is a middot bbull Vector projection of a in the direction of b is (a middot b) bbull Scalar triple product a middot b times c = a times b middot c
Other important properties
minus a middot b times c = b middot c times a
minus a middot b times c = minusb times a middot c
minus a times (b times c) = (a middot c)b minus (a middot b)c
bull Vector equation of a line through the point (x0 y0 z0) parallel to the vector (abc) is
(xy z) = (x0 y0 z0) + t(abc)
bull Equation of the plane with normal (abc) is ax + by + cz = d
bull Velocity and acceleration of a particle r(t) is given by
v(t) = r(t) = x(t)i + y(t) j + z(t)k
and
a(t) = r(t) = x(t)i + y(t) j + z(t)k
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bull Length of a space curve between t = tA and t = tB is
l =
int tBtA
|r(t)| dt
7 Series
Geometric Series
a + ar + ar2 + ar3 + middot middot middot + arnminus1 = a(1 minus rn)
1 minus r r = 1
S infin = a
1 minus r if |r| lt 1
Important Maclaurin Series
bull 1
1 minus t = 1 + t + t2 + t3 + t4 + middot middot middot valid for |t| lt 1
bull ln(1 + t) = t minus t2
2 +
t3
3 minus t4
4 +
t5
5 minus middot middot middot valid for |t| lt 1
bull arctan t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for |t| lt 1
bull et = 1 + t + t2
2 +
t3
3 +
t4
4 + middot middot middot valid for all t
bull sin t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for all t
bull cos t = 1 minus t2
2 +
t4
4 minus t6
6 +
t8
8 minus middot middot middot valid for all t
bull sinh t = t + t3
3 +
t5
5 +
t7
7 +
t9
9 + middot middot middot valid for all t
bull cosh t = 1 + t2
2 +
t4
4 +
t6
6 +
t8
8 + middot middot middot valid for all t
bull (1 + t)α = 1 + αt + α(α minus 1)
2 t2 +
α(α minus 1)(α minus 2)
3 t3 + middot middot middot
+ α(α minus 1)(α minus 2)(α minus n + 1)n tn + middot middot middot
valid for |t| lt 1
Taylor Series
f (x) = f (x0)+(xminusx0)f prime(x0)+ 1
2(xminusx0)2f primeprime(x0)+
1
3(xminusx0)3f primeprimeprime(x0)+middot middot middot+ 1
n(xminusx0)nf (n)(x0)+middot middot middot
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8 Useful Formulae for Differentiation and Integration
bull d
dx (u middot v) = uprimev + uvprime
bull d
dx 983080u
v983081 =
uprimev
minusuvprime
v2
bull d
dx [f (g(x))] = f prime (g(x)) gprime(x) or
dy
dx =
dy
du
du
dx
bull If y = f (x) then y asymp dy
dxx
bullint
f (g(x)) gprime(x) dx =
int f (u) du by setting u = g(x)
bullint
u dv = uv minusint
v du
bull Area between the two curves y = f (x) and y = g(x) on the interval [a b] is
A =
int ba
|f (x) minus g(x)| dx
bull Volume of solid obtained by rotating about the x-axis is
V = π
int ba
R2 minus r2 dx
bull Volume of solid obtained by rotating about the y -axis is
V = π
int dc
R2 minus r2 dy
81 Chain Rules
bull If w = w(x y) and both x = x(t) and y = y(t) then
dw
dt =
partw
partx
dx
dt +
part w
party
dy
dt
bull If w = w(x y) and both x = x(u v) and y = y(u v) then
partw
partu =
partw
partx
partx
partu +
part w
party
party
partu
and
partw
partv =
partw
partx
partx
partv +
part w
party
party
partv
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82 Numerical Techniques
Trapezoidal Rule
int b
a
f (x) dx = h
2
(y0 + 2(y1 + y2 + y3 +
middot middot middot+ ynminus1) + yn)
Simpsonrsquos Ruleint ba
f (x) dx = h
3 (y0 + 4(y1 + y3 + middot middot middot + y2nminus1) + 2(y2 + y4 + middot middot middot + y2nminus2) + y2n)
Newtonrsquos Method
xn+1 = xn
minus f (xn)
f prime(xn)
n = 0 1 2
Secant Method
xn+1 = xn minus f (xn)(xn minus xnminus1)
f (xn) minus f (xnminus1)
Jacobi Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii
bi minusnsum
j=1j=i
aijx(k) j
for i = 1 2 n k = 0 1
Gauss-Seidel Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii biminus
iminus1
sum j=1
aijx(k+1) j
minus
n
sum j=i+1
aijx(k) j
for i = 1 2 n k = 0 1
Eulerrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hf (xn yn) n = 0 1 2
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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7232019 Fomula Maths
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sin x sin y = 1
2 [cos(x minus y) minus cos(x + y)] sin x cos y =
1
2 [sin(x + y) + sin(x minus y)]
cos x cos y = 1
2 [cos(x + y) + cos(x minus y)] cos x sin y =
1
2 [sin(x + y) minus sin(x minus y)]
sin x + sin y = 2 sin983080x + y
2 983081 cos983080x minus y
2 983081 sin xminus
sin y = 2cos983080x + y
2 983081 sin983080x minus y
2 983081cos x + cos y = 2cos
983080x + y
2
983081cos
983080x minus y
2
983081 cos x minus cos y = minus2sin
983080x + y
2
983081sin
983080x minus y
2
983081
sin2x = 2 sin x cos x
cos2x = cos2 x minus sin2 x = 2 cos2 x minus 1 = 1 minus 2sin2 x
sin2 x = 1
2(1 minus cos2x)
cos2 x = 12
(1 + cos 2x)
tan2x = 2tan x
1 minus tan2 x
sin A
a =
sin B
b =
sin C
c
a2 = b2 + c2 minus 2bc cos A
b
2
= a
2
+ c
2
minus 2ac cos B
c2 = a2 + b2 minus 2ab cos C
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4 Hyperbolic Functions
Fundamental Identities
sinh x = 12 (ex minus eminusx) cosh x = 12 (ex + eminusx)
tanh x = sinh x
cosh x cosech x =
1
sinh x
sechx = 1
cosh x coth x =
1
tanh x =
cosh x
sinh x
sinh(minusx) = minus sinh(x) cosh(minusx) = cosh(x)
cosh2 x
minussinh2 x = 1 tanh2 x + sech2x = 1
coth2 x minus cosech2x = 1
sinh(x + y) = sinh x cosh y + cosh x sinh y sinh(x minus y) = sinh x cosh y minus cosh x sinh y
cosh(x + y) = cosh x cosh y + sinh x sinh y cosh(x minus y) = cosh x cosh y minus sinh x sinh y
tanh(x + y) = tanh x + tanh y
1 + tanh x tanh y tanh(x minus y) =
tanh x minus tanh y
1 minus tanh x tanh y
sinh2x = 2sinh x cosh x
cosh 2x = cosh2 x + sinh2 x = 2 cosh2 x minus 1 = 1 + 2 sinh2 x
sinh2 x = 1
2(cosh 2x minus 1)
cosh2 x = 1
2(cosh 2x + 1)
tanh2x = 2tanh x
1 + tanh2 x
arcsinh x = ln852008
x +radic
x2 + 1852009
arccosh x = ln852008
x +radic
x2 minus 1852009
arctanh x = 1
2 ln
1 + x
1 minus x
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5 Complex Numbers
bull z = a + ib where a and b are real
bull reale
z
= a and
imagem
z
= b
bull i =radic minus1 i2 = minus1 i3 = minusi
bull |z| =radic
a2 + b2
bull z = a minus ib
bull z + w = z + w
bull zw = z w
bull zn = zn
bull zz = |z|2
bull z = rcis θ = r(cos θ + i sin θ) where r = |z| =radic
a2 + b2 and arg z = θ
bull |zn| = |z|n and arg zn = n arg z plusmn 2kπ
bull z1z2 = r1r2 [cis(θ1 + θ2)]
bull z1z2
= r1r2
[cis(θ1 minus θ2)]
Eulerrsquos Formula eiθ = cos θ + i sin θ
De Moivrersquos Theorem
If z = rcis θ and n is a positive integer
zn = rncis nθ
Roots of a Complex Number
Let z = rcis θ and n be a positive integer Then z has n distinct nth roots
zk = r1ncis
983080θ + 2kπ
n
983081
where k = 0 1 2 n minus 1
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6 Vectors
Given the vectors a = a1i + a2 j + a3k and b = b1i + b2 j + b3k
bull Length
|a
|= 991770 a21 + a22 + a23
bull Unit Vector a = a
|a|bull Dot (Scalar) product a middot b = a1b1 + a2b2 + a3b3
bull Cross (vector) product a times b =
i j k
a1 a2 a3
b1 b2 b3
= (a2b3 minus a3b2)i minus (a1b3 minus a3b1) j + (a1b2 minus a2b1)k
bull Angle θ between two vectors a and b a middot b = |a||b| cos θ
bull Scalar projection of a in the direction of b is a middot bbull Vector projection of a in the direction of b is (a middot b) bbull Scalar triple product a middot b times c = a times b middot c
Other important properties
minus a middot b times c = b middot c times a
minus a middot b times c = minusb times a middot c
minus a times (b times c) = (a middot c)b minus (a middot b)c
bull Vector equation of a line through the point (x0 y0 z0) parallel to the vector (abc) is
(xy z) = (x0 y0 z0) + t(abc)
bull Equation of the plane with normal (abc) is ax + by + cz = d
bull Velocity and acceleration of a particle r(t) is given by
v(t) = r(t) = x(t)i + y(t) j + z(t)k
and
a(t) = r(t) = x(t)i + y(t) j + z(t)k
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bull Length of a space curve between t = tA and t = tB is
l =
int tBtA
|r(t)| dt
7 Series
Geometric Series
a + ar + ar2 + ar3 + middot middot middot + arnminus1 = a(1 minus rn)
1 minus r r = 1
S infin = a
1 minus r if |r| lt 1
Important Maclaurin Series
bull 1
1 minus t = 1 + t + t2 + t3 + t4 + middot middot middot valid for |t| lt 1
bull ln(1 + t) = t minus t2
2 +
t3
3 minus t4
4 +
t5
5 minus middot middot middot valid for |t| lt 1
bull arctan t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for |t| lt 1
bull et = 1 + t + t2
2 +
t3
3 +
t4
4 + middot middot middot valid for all t
bull sin t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for all t
bull cos t = 1 minus t2
2 +
t4
4 minus t6
6 +
t8
8 minus middot middot middot valid for all t
bull sinh t = t + t3
3 +
t5
5 +
t7
7 +
t9
9 + middot middot middot valid for all t
bull cosh t = 1 + t2
2 +
t4
4 +
t6
6 +
t8
8 + middot middot middot valid for all t
bull (1 + t)α = 1 + αt + α(α minus 1)
2 t2 +
α(α minus 1)(α minus 2)
3 t3 + middot middot middot
+ α(α minus 1)(α minus 2)(α minus n + 1)n tn + middot middot middot
valid for |t| lt 1
Taylor Series
f (x) = f (x0)+(xminusx0)f prime(x0)+ 1
2(xminusx0)2f primeprime(x0)+
1
3(xminusx0)3f primeprimeprime(x0)+middot middot middot+ 1
n(xminusx0)nf (n)(x0)+middot middot middot
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8 Useful Formulae for Differentiation and Integration
bull d
dx (u middot v) = uprimev + uvprime
bull d
dx 983080u
v983081 =
uprimev
minusuvprime
v2
bull d
dx [f (g(x))] = f prime (g(x)) gprime(x) or
dy
dx =
dy
du
du
dx
bull If y = f (x) then y asymp dy
dxx
bullint
f (g(x)) gprime(x) dx =
int f (u) du by setting u = g(x)
bullint
u dv = uv minusint
v du
bull Area between the two curves y = f (x) and y = g(x) on the interval [a b] is
A =
int ba
|f (x) minus g(x)| dx
bull Volume of solid obtained by rotating about the x-axis is
V = π
int ba
R2 minus r2 dx
bull Volume of solid obtained by rotating about the y -axis is
V = π
int dc
R2 minus r2 dy
81 Chain Rules
bull If w = w(x y) and both x = x(t) and y = y(t) then
dw
dt =
partw
partx
dx
dt +
part w
party
dy
dt
bull If w = w(x y) and both x = x(u v) and y = y(u v) then
partw
partu =
partw
partx
partx
partu +
part w
party
party
partu
and
partw
partv =
partw
partx
partx
partv +
part w
party
party
partv
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82 Numerical Techniques
Trapezoidal Rule
int b
a
f (x) dx = h
2
(y0 + 2(y1 + y2 + y3 +
middot middot middot+ ynminus1) + yn)
Simpsonrsquos Ruleint ba
f (x) dx = h
3 (y0 + 4(y1 + y3 + middot middot middot + y2nminus1) + 2(y2 + y4 + middot middot middot + y2nminus2) + y2n)
Newtonrsquos Method
xn+1 = xn
minus f (xn)
f prime(xn)
n = 0 1 2
Secant Method
xn+1 = xn minus f (xn)(xn minus xnminus1)
f (xn) minus f (xnminus1)
Jacobi Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii
bi minusnsum
j=1j=i
aijx(k) j
for i = 1 2 n k = 0 1
Gauss-Seidel Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii biminus
iminus1
sum j=1
aijx(k+1) j
minus
n
sum j=i+1
aijx(k) j
for i = 1 2 n k = 0 1
Eulerrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hf (xn yn) n = 0 1 2
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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4 Hyperbolic Functions
Fundamental Identities
sinh x = 12 (ex minus eminusx) cosh x = 12 (ex + eminusx)
tanh x = sinh x
cosh x cosech x =
1
sinh x
sechx = 1
cosh x coth x =
1
tanh x =
cosh x
sinh x
sinh(minusx) = minus sinh(x) cosh(minusx) = cosh(x)
cosh2 x
minussinh2 x = 1 tanh2 x + sech2x = 1
coth2 x minus cosech2x = 1
sinh(x + y) = sinh x cosh y + cosh x sinh y sinh(x minus y) = sinh x cosh y minus cosh x sinh y
cosh(x + y) = cosh x cosh y + sinh x sinh y cosh(x minus y) = cosh x cosh y minus sinh x sinh y
tanh(x + y) = tanh x + tanh y
1 + tanh x tanh y tanh(x minus y) =
tanh x minus tanh y
1 minus tanh x tanh y
sinh2x = 2sinh x cosh x
cosh 2x = cosh2 x + sinh2 x = 2 cosh2 x minus 1 = 1 + 2 sinh2 x
sinh2 x = 1
2(cosh 2x minus 1)
cosh2 x = 1
2(cosh 2x + 1)
tanh2x = 2tanh x
1 + tanh2 x
arcsinh x = ln852008
x +radic
x2 + 1852009
arccosh x = ln852008
x +radic
x2 minus 1852009
arctanh x = 1
2 ln
1 + x
1 minus x
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5 Complex Numbers
bull z = a + ib where a and b are real
bull reale
z
= a and
imagem
z
= b
bull i =radic minus1 i2 = minus1 i3 = minusi
bull |z| =radic
a2 + b2
bull z = a minus ib
bull z + w = z + w
bull zw = z w
bull zn = zn
bull zz = |z|2
bull z = rcis θ = r(cos θ + i sin θ) where r = |z| =radic
a2 + b2 and arg z = θ
bull |zn| = |z|n and arg zn = n arg z plusmn 2kπ
bull z1z2 = r1r2 [cis(θ1 + θ2)]
bull z1z2
= r1r2
[cis(θ1 minus θ2)]
Eulerrsquos Formula eiθ = cos θ + i sin θ
De Moivrersquos Theorem
If z = rcis θ and n is a positive integer
zn = rncis nθ
Roots of a Complex Number
Let z = rcis θ and n be a positive integer Then z has n distinct nth roots
zk = r1ncis
983080θ + 2kπ
n
983081
where k = 0 1 2 n minus 1
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6 Vectors
Given the vectors a = a1i + a2 j + a3k and b = b1i + b2 j + b3k
bull Length
|a
|= 991770 a21 + a22 + a23
bull Unit Vector a = a
|a|bull Dot (Scalar) product a middot b = a1b1 + a2b2 + a3b3
bull Cross (vector) product a times b =
i j k
a1 a2 a3
b1 b2 b3
= (a2b3 minus a3b2)i minus (a1b3 minus a3b1) j + (a1b2 minus a2b1)k
bull Angle θ between two vectors a and b a middot b = |a||b| cos θ
bull Scalar projection of a in the direction of b is a middot bbull Vector projection of a in the direction of b is (a middot b) bbull Scalar triple product a middot b times c = a times b middot c
Other important properties
minus a middot b times c = b middot c times a
minus a middot b times c = minusb times a middot c
minus a times (b times c) = (a middot c)b minus (a middot b)c
bull Vector equation of a line through the point (x0 y0 z0) parallel to the vector (abc) is
(xy z) = (x0 y0 z0) + t(abc)
bull Equation of the plane with normal (abc) is ax + by + cz = d
bull Velocity and acceleration of a particle r(t) is given by
v(t) = r(t) = x(t)i + y(t) j + z(t)k
and
a(t) = r(t) = x(t)i + y(t) j + z(t)k
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bull Length of a space curve between t = tA and t = tB is
l =
int tBtA
|r(t)| dt
7 Series
Geometric Series
a + ar + ar2 + ar3 + middot middot middot + arnminus1 = a(1 minus rn)
1 minus r r = 1
S infin = a
1 minus r if |r| lt 1
Important Maclaurin Series
bull 1
1 minus t = 1 + t + t2 + t3 + t4 + middot middot middot valid for |t| lt 1
bull ln(1 + t) = t minus t2
2 +
t3
3 minus t4
4 +
t5
5 minus middot middot middot valid for |t| lt 1
bull arctan t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for |t| lt 1
bull et = 1 + t + t2
2 +
t3
3 +
t4
4 + middot middot middot valid for all t
bull sin t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for all t
bull cos t = 1 minus t2
2 +
t4
4 minus t6
6 +
t8
8 minus middot middot middot valid for all t
bull sinh t = t + t3
3 +
t5
5 +
t7
7 +
t9
9 + middot middot middot valid for all t
bull cosh t = 1 + t2
2 +
t4
4 +
t6
6 +
t8
8 + middot middot middot valid for all t
bull (1 + t)α = 1 + αt + α(α minus 1)
2 t2 +
α(α minus 1)(α minus 2)
3 t3 + middot middot middot
+ α(α minus 1)(α minus 2)(α minus n + 1)n tn + middot middot middot
valid for |t| lt 1
Taylor Series
f (x) = f (x0)+(xminusx0)f prime(x0)+ 1
2(xminusx0)2f primeprime(x0)+
1
3(xminusx0)3f primeprimeprime(x0)+middot middot middot+ 1
n(xminusx0)nf (n)(x0)+middot middot middot
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8 Useful Formulae for Differentiation and Integration
bull d
dx (u middot v) = uprimev + uvprime
bull d
dx 983080u
v983081 =
uprimev
minusuvprime
v2
bull d
dx [f (g(x))] = f prime (g(x)) gprime(x) or
dy
dx =
dy
du
du
dx
bull If y = f (x) then y asymp dy
dxx
bullint
f (g(x)) gprime(x) dx =
int f (u) du by setting u = g(x)
bullint
u dv = uv minusint
v du
bull Area between the two curves y = f (x) and y = g(x) on the interval [a b] is
A =
int ba
|f (x) minus g(x)| dx
bull Volume of solid obtained by rotating about the x-axis is
V = π
int ba
R2 minus r2 dx
bull Volume of solid obtained by rotating about the y -axis is
V = π
int dc
R2 minus r2 dy
81 Chain Rules
bull If w = w(x y) and both x = x(t) and y = y(t) then
dw
dt =
partw
partx
dx
dt +
part w
party
dy
dt
bull If w = w(x y) and both x = x(u v) and y = y(u v) then
partw
partu =
partw
partx
partx
partu +
part w
party
party
partu
and
partw
partv =
partw
partx
partx
partv +
part w
party
party
partv
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82 Numerical Techniques
Trapezoidal Rule
int b
a
f (x) dx = h
2
(y0 + 2(y1 + y2 + y3 +
middot middot middot+ ynminus1) + yn)
Simpsonrsquos Ruleint ba
f (x) dx = h
3 (y0 + 4(y1 + y3 + middot middot middot + y2nminus1) + 2(y2 + y4 + middot middot middot + y2nminus2) + y2n)
Newtonrsquos Method
xn+1 = xn
minus f (xn)
f prime(xn)
n = 0 1 2
Secant Method
xn+1 = xn minus f (xn)(xn minus xnminus1)
f (xn) minus f (xnminus1)
Jacobi Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii
bi minusnsum
j=1j=i
aijx(k) j
for i = 1 2 n k = 0 1
Gauss-Seidel Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii biminus
iminus1
sum j=1
aijx(k+1) j
minus
n
sum j=i+1
aijx(k) j
for i = 1 2 n k = 0 1
Eulerrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hf (xn yn) n = 0 1 2
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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5 Complex Numbers
bull z = a + ib where a and b are real
bull reale
z
= a and
imagem
z
= b
bull i =radic minus1 i2 = minus1 i3 = minusi
bull |z| =radic
a2 + b2
bull z = a minus ib
bull z + w = z + w
bull zw = z w
bull zn = zn
bull zz = |z|2
bull z = rcis θ = r(cos θ + i sin θ) where r = |z| =radic
a2 + b2 and arg z = θ
bull |zn| = |z|n and arg zn = n arg z plusmn 2kπ
bull z1z2 = r1r2 [cis(θ1 + θ2)]
bull z1z2
= r1r2
[cis(θ1 minus θ2)]
Eulerrsquos Formula eiθ = cos θ + i sin θ
De Moivrersquos Theorem
If z = rcis θ and n is a positive integer
zn = rncis nθ
Roots of a Complex Number
Let z = rcis θ and n be a positive integer Then z has n distinct nth roots
zk = r1ncis
983080θ + 2kπ
n
983081
where k = 0 1 2 n minus 1
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6 Vectors
Given the vectors a = a1i + a2 j + a3k and b = b1i + b2 j + b3k
bull Length
|a
|= 991770 a21 + a22 + a23
bull Unit Vector a = a
|a|bull Dot (Scalar) product a middot b = a1b1 + a2b2 + a3b3
bull Cross (vector) product a times b =
i j k
a1 a2 a3
b1 b2 b3
= (a2b3 minus a3b2)i minus (a1b3 minus a3b1) j + (a1b2 minus a2b1)k
bull Angle θ between two vectors a and b a middot b = |a||b| cos θ
bull Scalar projection of a in the direction of b is a middot bbull Vector projection of a in the direction of b is (a middot b) bbull Scalar triple product a middot b times c = a times b middot c
Other important properties
minus a middot b times c = b middot c times a
minus a middot b times c = minusb times a middot c
minus a times (b times c) = (a middot c)b minus (a middot b)c
bull Vector equation of a line through the point (x0 y0 z0) parallel to the vector (abc) is
(xy z) = (x0 y0 z0) + t(abc)
bull Equation of the plane with normal (abc) is ax + by + cz = d
bull Velocity and acceleration of a particle r(t) is given by
v(t) = r(t) = x(t)i + y(t) j + z(t)k
and
a(t) = r(t) = x(t)i + y(t) j + z(t)k
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bull Length of a space curve between t = tA and t = tB is
l =
int tBtA
|r(t)| dt
7 Series
Geometric Series
a + ar + ar2 + ar3 + middot middot middot + arnminus1 = a(1 minus rn)
1 minus r r = 1
S infin = a
1 minus r if |r| lt 1
Important Maclaurin Series
bull 1
1 minus t = 1 + t + t2 + t3 + t4 + middot middot middot valid for |t| lt 1
bull ln(1 + t) = t minus t2
2 +
t3
3 minus t4
4 +
t5
5 minus middot middot middot valid for |t| lt 1
bull arctan t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for |t| lt 1
bull et = 1 + t + t2
2 +
t3
3 +
t4
4 + middot middot middot valid for all t
bull sin t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for all t
bull cos t = 1 minus t2
2 +
t4
4 minus t6
6 +
t8
8 minus middot middot middot valid for all t
bull sinh t = t + t3
3 +
t5
5 +
t7
7 +
t9
9 + middot middot middot valid for all t
bull cosh t = 1 + t2
2 +
t4
4 +
t6
6 +
t8
8 + middot middot middot valid for all t
bull (1 + t)α = 1 + αt + α(α minus 1)
2 t2 +
α(α minus 1)(α minus 2)
3 t3 + middot middot middot
+ α(α minus 1)(α minus 2)(α minus n + 1)n tn + middot middot middot
valid for |t| lt 1
Taylor Series
f (x) = f (x0)+(xminusx0)f prime(x0)+ 1
2(xminusx0)2f primeprime(x0)+
1
3(xminusx0)3f primeprimeprime(x0)+middot middot middot+ 1
n(xminusx0)nf (n)(x0)+middot middot middot
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8 Useful Formulae for Differentiation and Integration
bull d
dx (u middot v) = uprimev + uvprime
bull d
dx 983080u
v983081 =
uprimev
minusuvprime
v2
bull d
dx [f (g(x))] = f prime (g(x)) gprime(x) or
dy
dx =
dy
du
du
dx
bull If y = f (x) then y asymp dy
dxx
bullint
f (g(x)) gprime(x) dx =
int f (u) du by setting u = g(x)
bullint
u dv = uv minusint
v du
bull Area between the two curves y = f (x) and y = g(x) on the interval [a b] is
A =
int ba
|f (x) minus g(x)| dx
bull Volume of solid obtained by rotating about the x-axis is
V = π
int ba
R2 minus r2 dx
bull Volume of solid obtained by rotating about the y -axis is
V = π
int dc
R2 minus r2 dy
81 Chain Rules
bull If w = w(x y) and both x = x(t) and y = y(t) then
dw
dt =
partw
partx
dx
dt +
part w
party
dy
dt
bull If w = w(x y) and both x = x(u v) and y = y(u v) then
partw
partu =
partw
partx
partx
partu +
part w
party
party
partu
and
partw
partv =
partw
partx
partx
partv +
part w
party
party
partv
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82 Numerical Techniques
Trapezoidal Rule
int b
a
f (x) dx = h
2
(y0 + 2(y1 + y2 + y3 +
middot middot middot+ ynminus1) + yn)
Simpsonrsquos Ruleint ba
f (x) dx = h
3 (y0 + 4(y1 + y3 + middot middot middot + y2nminus1) + 2(y2 + y4 + middot middot middot + y2nminus2) + y2n)
Newtonrsquos Method
xn+1 = xn
minus f (xn)
f prime(xn)
n = 0 1 2
Secant Method
xn+1 = xn minus f (xn)(xn minus xnminus1)
f (xn) minus f (xnminus1)
Jacobi Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii
bi minusnsum
j=1j=i
aijx(k) j
for i = 1 2 n k = 0 1
Gauss-Seidel Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii biminus
iminus1
sum j=1
aijx(k+1) j
minus
n
sum j=i+1
aijx(k) j
for i = 1 2 n k = 0 1
Eulerrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hf (xn yn) n = 0 1 2
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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6 Vectors
Given the vectors a = a1i + a2 j + a3k and b = b1i + b2 j + b3k
bull Length
|a
|= 991770 a21 + a22 + a23
bull Unit Vector a = a
|a|bull Dot (Scalar) product a middot b = a1b1 + a2b2 + a3b3
bull Cross (vector) product a times b =
i j k
a1 a2 a3
b1 b2 b3
= (a2b3 minus a3b2)i minus (a1b3 minus a3b1) j + (a1b2 minus a2b1)k
bull Angle θ between two vectors a and b a middot b = |a||b| cos θ
bull Scalar projection of a in the direction of b is a middot bbull Vector projection of a in the direction of b is (a middot b) bbull Scalar triple product a middot b times c = a times b middot c
Other important properties
minus a middot b times c = b middot c times a
minus a middot b times c = minusb times a middot c
minus a times (b times c) = (a middot c)b minus (a middot b)c
bull Vector equation of a line through the point (x0 y0 z0) parallel to the vector (abc) is
(xy z) = (x0 y0 z0) + t(abc)
bull Equation of the plane with normal (abc) is ax + by + cz = d
bull Velocity and acceleration of a particle r(t) is given by
v(t) = r(t) = x(t)i + y(t) j + z(t)k
and
a(t) = r(t) = x(t)i + y(t) j + z(t)k
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bull Length of a space curve between t = tA and t = tB is
l =
int tBtA
|r(t)| dt
7 Series
Geometric Series
a + ar + ar2 + ar3 + middot middot middot + arnminus1 = a(1 minus rn)
1 minus r r = 1
S infin = a
1 minus r if |r| lt 1
Important Maclaurin Series
bull 1
1 minus t = 1 + t + t2 + t3 + t4 + middot middot middot valid for |t| lt 1
bull ln(1 + t) = t minus t2
2 +
t3
3 minus t4
4 +
t5
5 minus middot middot middot valid for |t| lt 1
bull arctan t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for |t| lt 1
bull et = 1 + t + t2
2 +
t3
3 +
t4
4 + middot middot middot valid for all t
bull sin t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for all t
bull cos t = 1 minus t2
2 +
t4
4 minus t6
6 +
t8
8 minus middot middot middot valid for all t
bull sinh t = t + t3
3 +
t5
5 +
t7
7 +
t9
9 + middot middot middot valid for all t
bull cosh t = 1 + t2
2 +
t4
4 +
t6
6 +
t8
8 + middot middot middot valid for all t
bull (1 + t)α = 1 + αt + α(α minus 1)
2 t2 +
α(α minus 1)(α minus 2)
3 t3 + middot middot middot
+ α(α minus 1)(α minus 2)(α minus n + 1)n tn + middot middot middot
valid for |t| lt 1
Taylor Series
f (x) = f (x0)+(xminusx0)f prime(x0)+ 1
2(xminusx0)2f primeprime(x0)+
1
3(xminusx0)3f primeprimeprime(x0)+middot middot middot+ 1
n(xminusx0)nf (n)(x0)+middot middot middot
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8 Useful Formulae for Differentiation and Integration
bull d
dx (u middot v) = uprimev + uvprime
bull d
dx 983080u
v983081 =
uprimev
minusuvprime
v2
bull d
dx [f (g(x))] = f prime (g(x)) gprime(x) or
dy
dx =
dy
du
du
dx
bull If y = f (x) then y asymp dy
dxx
bullint
f (g(x)) gprime(x) dx =
int f (u) du by setting u = g(x)
bullint
u dv = uv minusint
v du
bull Area between the two curves y = f (x) and y = g(x) on the interval [a b] is
A =
int ba
|f (x) minus g(x)| dx
bull Volume of solid obtained by rotating about the x-axis is
V = π
int ba
R2 minus r2 dx
bull Volume of solid obtained by rotating about the y -axis is
V = π
int dc
R2 minus r2 dy
81 Chain Rules
bull If w = w(x y) and both x = x(t) and y = y(t) then
dw
dt =
partw
partx
dx
dt +
part w
party
dy
dt
bull If w = w(x y) and both x = x(u v) and y = y(u v) then
partw
partu =
partw
partx
partx
partu +
part w
party
party
partu
and
partw
partv =
partw
partx
partx
partv +
part w
party
party
partv
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82 Numerical Techniques
Trapezoidal Rule
int b
a
f (x) dx = h
2
(y0 + 2(y1 + y2 + y3 +
middot middot middot+ ynminus1) + yn)
Simpsonrsquos Ruleint ba
f (x) dx = h
3 (y0 + 4(y1 + y3 + middot middot middot + y2nminus1) + 2(y2 + y4 + middot middot middot + y2nminus2) + y2n)
Newtonrsquos Method
xn+1 = xn
minus f (xn)
f prime(xn)
n = 0 1 2
Secant Method
xn+1 = xn minus f (xn)(xn minus xnminus1)
f (xn) minus f (xnminus1)
Jacobi Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii
bi minusnsum
j=1j=i
aijx(k) j
for i = 1 2 n k = 0 1
Gauss-Seidel Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii biminus
iminus1
sum j=1
aijx(k+1) j
minus
n
sum j=i+1
aijx(k) j
for i = 1 2 n k = 0 1
Eulerrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hf (xn yn) n = 0 1 2
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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bull Length of a space curve between t = tA and t = tB is
l =
int tBtA
|r(t)| dt
7 Series
Geometric Series
a + ar + ar2 + ar3 + middot middot middot + arnminus1 = a(1 minus rn)
1 minus r r = 1
S infin = a
1 minus r if |r| lt 1
Important Maclaurin Series
bull 1
1 minus t = 1 + t + t2 + t3 + t4 + middot middot middot valid for |t| lt 1
bull ln(1 + t) = t minus t2
2 +
t3
3 minus t4
4 +
t5
5 minus middot middot middot valid for |t| lt 1
bull arctan t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for |t| lt 1
bull et = 1 + t + t2
2 +
t3
3 +
t4
4 + middot middot middot valid for all t
bull sin t = t minus t3
3 +
t5
5 minus t7
7 +
t9
9 minus middot middot middot valid for all t
bull cos t = 1 minus t2
2 +
t4
4 minus t6
6 +
t8
8 minus middot middot middot valid for all t
bull sinh t = t + t3
3 +
t5
5 +
t7
7 +
t9
9 + middot middot middot valid for all t
bull cosh t = 1 + t2
2 +
t4
4 +
t6
6 +
t8
8 + middot middot middot valid for all t
bull (1 + t)α = 1 + αt + α(α minus 1)
2 t2 +
α(α minus 1)(α minus 2)
3 t3 + middot middot middot
+ α(α minus 1)(α minus 2)(α minus n + 1)n tn + middot middot middot
valid for |t| lt 1
Taylor Series
f (x) = f (x0)+(xminusx0)f prime(x0)+ 1
2(xminusx0)2f primeprime(x0)+
1
3(xminusx0)3f primeprimeprime(x0)+middot middot middot+ 1
n(xminusx0)nf (n)(x0)+middot middot middot
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8 Useful Formulae for Differentiation and Integration
bull d
dx (u middot v) = uprimev + uvprime
bull d
dx 983080u
v983081 =
uprimev
minusuvprime
v2
bull d
dx [f (g(x))] = f prime (g(x)) gprime(x) or
dy
dx =
dy
du
du
dx
bull If y = f (x) then y asymp dy
dxx
bullint
f (g(x)) gprime(x) dx =
int f (u) du by setting u = g(x)
bullint
u dv = uv minusint
v du
bull Area between the two curves y = f (x) and y = g(x) on the interval [a b] is
A =
int ba
|f (x) minus g(x)| dx
bull Volume of solid obtained by rotating about the x-axis is
V = π
int ba
R2 minus r2 dx
bull Volume of solid obtained by rotating about the y -axis is
V = π
int dc
R2 minus r2 dy
81 Chain Rules
bull If w = w(x y) and both x = x(t) and y = y(t) then
dw
dt =
partw
partx
dx
dt +
part w
party
dy
dt
bull If w = w(x y) and both x = x(u v) and y = y(u v) then
partw
partu =
partw
partx
partx
partu +
part w
party
party
partu
and
partw
partv =
partw
partx
partx
partv +
part w
party
party
partv
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82 Numerical Techniques
Trapezoidal Rule
int b
a
f (x) dx = h
2
(y0 + 2(y1 + y2 + y3 +
middot middot middot+ ynminus1) + yn)
Simpsonrsquos Ruleint ba
f (x) dx = h
3 (y0 + 4(y1 + y3 + middot middot middot + y2nminus1) + 2(y2 + y4 + middot middot middot + y2nminus2) + y2n)
Newtonrsquos Method
xn+1 = xn
minus f (xn)
f prime(xn)
n = 0 1 2
Secant Method
xn+1 = xn minus f (xn)(xn minus xnminus1)
f (xn) minus f (xnminus1)
Jacobi Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii
bi minusnsum
j=1j=i
aijx(k) j
for i = 1 2 n k = 0 1
Gauss-Seidel Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii biminus
iminus1
sum j=1
aijx(k+1) j
minus
n
sum j=i+1
aijx(k) j
for i = 1 2 n k = 0 1
Eulerrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hf (xn yn) n = 0 1 2
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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8 Useful Formulae for Differentiation and Integration
bull d
dx (u middot v) = uprimev + uvprime
bull d
dx 983080u
v983081 =
uprimev
minusuvprime
v2
bull d
dx [f (g(x))] = f prime (g(x)) gprime(x) or
dy
dx =
dy
du
du
dx
bull If y = f (x) then y asymp dy
dxx
bullint
f (g(x)) gprime(x) dx =
int f (u) du by setting u = g(x)
bullint
u dv = uv minusint
v du
bull Area between the two curves y = f (x) and y = g(x) on the interval [a b] is
A =
int ba
|f (x) minus g(x)| dx
bull Volume of solid obtained by rotating about the x-axis is
V = π
int ba
R2 minus r2 dx
bull Volume of solid obtained by rotating about the y -axis is
V = π
int dc
R2 minus r2 dy
81 Chain Rules
bull If w = w(x y) and both x = x(t) and y = y(t) then
dw
dt =
partw
partx
dx
dt +
part w
party
dy
dt
bull If w = w(x y) and both x = x(u v) and y = y(u v) then
partw
partu =
partw
partx
partx
partu +
part w
party
party
partu
and
partw
partv =
partw
partx
partx
partv +
part w
party
party
partv
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82 Numerical Techniques
Trapezoidal Rule
int b
a
f (x) dx = h
2
(y0 + 2(y1 + y2 + y3 +
middot middot middot+ ynminus1) + yn)
Simpsonrsquos Ruleint ba
f (x) dx = h
3 (y0 + 4(y1 + y3 + middot middot middot + y2nminus1) + 2(y2 + y4 + middot middot middot + y2nminus2) + y2n)
Newtonrsquos Method
xn+1 = xn
minus f (xn)
f prime(xn)
n = 0 1 2
Secant Method
xn+1 = xn minus f (xn)(xn minus xnminus1)
f (xn) minus f (xnminus1)
Jacobi Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii
bi minusnsum
j=1j=i
aijx(k) j
for i = 1 2 n k = 0 1
Gauss-Seidel Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii biminus
iminus1
sum j=1
aijx(k+1) j
minus
n
sum j=i+1
aijx(k) j
for i = 1 2 n k = 0 1
Eulerrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hf (xn yn) n = 0 1 2
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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82 Numerical Techniques
Trapezoidal Rule
int b
a
f (x) dx = h
2
(y0 + 2(y1 + y2 + y3 +
middot middot middot+ ynminus1) + yn)
Simpsonrsquos Ruleint ba
f (x) dx = h
3 (y0 + 4(y1 + y3 + middot middot middot + y2nminus1) + 2(y2 + y4 + middot middot middot + y2nminus2) + y2n)
Newtonrsquos Method
xn+1 = xn
minus f (xn)
f prime(xn)
n = 0 1 2
Secant Method
xn+1 = xn minus f (xn)(xn minus xnminus1)
f (xn) minus f (xnminus1)
Jacobi Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii
bi minusnsum
j=1j=i
aijx(k) j
for i = 1 2 n k = 0 1
Gauss-Seidel Iterative Method
Given an initial estimate x(0)
x(k+1)i =
1
aii biminus
iminus1
sum j=1
aijx(k+1) j
minus
n
sum j=i+1
aijx(k) j
for i = 1 2 n k = 0 1
Eulerrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hf (xn yn) n = 0 1 2
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
16
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
17
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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Taylorrsquos Method
Given y prime = f (x y) y(x0) = y0
yn+1 = yn + hyprimen + h2
2 yprimeprimen n = 0 1 2
821 Runge-Kutta Methods
Given y prime = f (x y) y(x0) = y0
Improved Eulerrsquos Method (2nd order R-K)
k1 = f (xn yn)
k2 = f (xn + h yn + hk1)
yn+1 = yn + h
2 (k1 + k2)
Classical Runge-Kutta Method (4th order R-K)
k1 = f (xn yn)
k2 = f (xn + h
2 yn +
h
2k1)
k3 = f (xn + h
2 yn + h
2 k2)
k4 = f (xn + h yn + hk3)
yn+1 = yn + h
6 (k1 + 2k2 + 2k3 + k4)
Improved Eulerrsquos Method for a First Order System
By setting u = y and v = y prime we can express a second order BVP as a system of first order DErsquos
uprime = f (xuv) u(x0) = u0
vprime = g(xuv) v(x0) = v0
These can be solved approximately by using the following second order Runge-Kutta scheme
k1 = f (xn un vn) l1 = g(xn un vn)
k2 = f (xn + h un + hk1 vn + hl1) l2 = g(xn + h un + hk1 vn + hl1)
un+1 = un + h
2
(k1 + k2) vn+1 = vn + h
2
(l1 + l2)
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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822 Polynomial Interpolation
Lagrange Form
pn(x) =n
sumi=0
f iLi(x)
where
Li(x) =nprod
j=0j=i
(x minus x j)
(xi minus x j)
Newtonrsquos Divided Difference Formula
pn(x) = f (x0) + (x minus x0)f [x0 x1] + (x minus x0)(x minus x1)f [x0 x1 x2]
+ middot middot middot + (x minus x0)(x minus x1)(x minus x2) (x minus xnminus1)f [x0 x1 x2 xn]
Error asymp (x minus x0)(x minus x1)(x minus x2) (x minus xn)f [x0 x1 xn+1]
823 Least Squares Approximation
If φ(x a0 a1 an) = a0 + a1x + a2x2 + middot middot middot + anxn then the normal equations are given by
(m + 1)msumi=0
xi
msumi=0
xi2 msumi=0
xin
msumi=0
xi
msumi=0
xi2
msumi=0
xi3
msumi=0
xin+1
msumi=0
xi2
msumi=0
xi3
msumi=0
xi4
msumi=0
xin+2
msumi=0
xin
msumi=0
xin+1
msumi=0
xin+2
msumi=0
xi2n
a0
a1
a2
an
=
msumi=0
f i
msumi=0
xif i
msumi=0
xi2f i
msumi=0
xinf i
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
23
7232019 Fomula Maths
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
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7232019 Fomula Maths
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83 Table of Integrals
Function Integral
xn 1n + 1 xn+1 n = minus1
ex ex
eax+b 1
aeax+b
1
x ln |x|
ax 1
ln aax
ln x x ln x minus x
sin x minus cos x
cos x sin x
tan x minus ln | cos x|
cosec2 x minus cot x
sec2 x tan x
cot x ln | sin x|
sec x tan x sec x
cosec x cot x minuscosec x
sec x 1
2 ln
1 + sin x
1 minus sin x = ln | sec x + tan x|
cosec x 12
ln 1 minus cos x1 + cos x
= ln |cosec x minus cot x|
arcsin x x arcsin x +radic
1 minus x2
arccos x x arccos x minusradic
1 minus x2
arctan x x arctan x minus 1
2 ln(1 + x2)
sinh x cosh x
cosh x sinh x
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
16
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
23
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
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7232019 Fomula Maths
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Continued
Function Integral
tanh x lncosh x
coth x ln | sinh x|
sech2x tanh x
cosech2 x minus coth x
sech x tanh x minussech x
cosech x coth x minuscosech x
sech x 2 arctan ex
cosech x ln
tanh x
2
= ln
ex minus 1
ex + 1
1
a2 minus x2
1
a
arctanh x
a
= 1
2a
ln a + x
a minus x
if
|x
|lt a
1
a arccoth
x
a =
1
2a ln
x + a
x minus a if |x| gt a
1
x2 + a21
a arctan
x
a
1radic a2 minus x2
arcsin x
a
1radic x2 minus a2
arccosh x
a
1radic x2 + a2
arcsinh xaradic
x2 + a2 1
2xradic
x2 + a2 + 1
2a2 arcsinh
x
aradic x2 minus a2
1
2xradic
x2 minus a2 minus 1
2a2 arccosh
x
aradic a2 minus x2
1
2xradic
a2 minus x2 + 1
2a2 arcsin
x
a
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
17
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
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Continued
Function Integral
sinm x cosn x
sinm+1 x cosnminus1 x
m + n +
n minus 1
m + n
int sinm x cosnminus2 x dx
minussinmminus1 x cosn+1 x
m + n +
m minus 1
m + n
int sinmminus2 x cosn x dx
sin ax sin bx sin(a minus b)x
2(a minus b) minus sin(a + b)x
2(a + b)
cos ax cos bx sin(a minus b)x
2(a minus b) +
sin(a + b)x
2(a + b)
sin ax cos bx minuscos(a minus b)x2(a minus b)
minus cos(a + b)x2(a + b)
eax sin bx eax
a2 + b2 (a sin bx minus b cos bx)
eax cos bx eax
a2 + b2 (a cos bx + b sin bx)
xnex xnex minus n
int xnminus1ex dx
tann x 1n minus 1
tannminus1 x minus int tannminus2 x dx
secn x 1
n minus 1 secnminus2 x tan x +
n minus 2
n minus 1
int secnminus2 x dx
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
23
7232019 Fomula Maths
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
7232019 Fomula Maths
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df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
7232019 Fomula Maths
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2828
7232019 Fomula Maths
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9 Laplace Transforms
Function Laplace Transform
f (t) F (s) = int infin
0 eminusst
f (t) dt
1 1
s
tn n
sn+1
eat 1
s minus a
sin at a
s2 + a2
cos at s
s2 + a2
sinh at a
s2 minus a2
cosh at s
s2 minus a2
sin at minus at cos at 2a3
(s2 + a2)2
sin at + at cos at 2as2
(s2 + a2)2
t sin at 2as(s2 + a2)2
sin at sinh at 2a2s
s4 + 4a4
cos at sinh at as2 minus 2a3
s4 + 4a4
sin at cosh at as2 + 2a3
s4 + 4a4
cos at cosh at s3
s4 + 4a4
H (t minus a) eminusas
s
δ (t minus a) eminusas
a
2tradic
πteminusa
24t eminusaradic s
1radic πt
eminusa24t eminusa
radic s
radic s
J 0(2radic
at) 1
s
eminusas
17
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91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
18
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
19
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
23
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z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2628
df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
7232019 Fomula Maths
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References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2828
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 1928
91 Laplace Transforms General Formulae
Definition of a Laplace Transform
F (s) =
L[f (t)] = int
infin
0
eminusstf (t) dt
Inverse Laplace Transform
f (t) = Lminus1 F (s)
Linearity
L[af (t) + bg(t)] = aF (s) + bG(s)
Theorem
L[f (at)] = 1
aF
983080s
a
983081
First Shift Theorem
L[eatf (t)] = F (s minus a)
Second Shift Theorem
L[f (t minus τ )H (t minus τ )] = eminusτsF (s)
Differentiation of a Transform
L[tnf (t)] = (minus1)ndnF (s)
dsn
Differentiation of a Function
L983131
dnf (t)
dtn
983133 = snF (s) minus snminus1f (0) minus snminus2f prime(0) minus middot middot middot minus sf (nminus2)(0) minus f (nminus1)(0)
bull L[f prime(t)] = sF (s) minus f (0)
bull L[f primeprime(t)] = s2F (s) minus sf (0) minus f prime(0)
18
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Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
19
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
20
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
21
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
22
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2428
Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
23
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2528
z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2628
df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2728
References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2828
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2028
Integration of a Function
L983131int t
0f (u) du
983133 =
F (s)
s
Integration of a Transform
L983131
f (t)
t
983133 =
int infins
F (u) du
Convolution Theorem
L[f (t) lowast g(t)] = L983131int t
0f (τ )g(t minus τ ) dτ
983133 = F (s)G(s)
10 Fourier Series
A function f satisfying f (x + 2l) = f (x) of period 2l can be represented as a Fourier series by
f (x) = 1
2a0 +
infinsumn=1
983080an cos
nπx
l + bn sin
nπx
l
983081with Fourier coefficients defined by
an =
1
l int l
minusl f (x)cos
nπx
l dx
bn = 1
l
int lminusl
f (x)sin nπx
l dx
An even periodic function is represented by a Fourier Cosine series
f (x) = 1
2a0 +
infinsumn=1
an cos nπx
l
where
an = 2l
int l0
f (x)cos nπx
l dx for n = 0 1 2
An odd periodic function is represented by a Fourier Sine series
f (x) =infinsumn=1
bn sin nπx
l
where
bn = 2
l int l
0
f (x)sin nπx
l dx for n = 1 2 3
19
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11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
20
7232019 Fomula Maths
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
21
7232019 Fomula Maths
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
22
7232019 Fomula Maths
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Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
23
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2528
z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2628
df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2728
References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2828
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2128
11 Vector Calculus
Gradient
The gradient of a scalar function φ(xy z) is given by
nablaφ = partφ
partxi +
part φ
party j +
part φ
partzk
Divergence
The divergence of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given
by
nabla middot F = partF 1
partx +
part F 2party
+ part F 3
partz
Curl
The curl of a vector function F(xy z) = F 1(xy z)i + F 2(xy z) j + F 3(xy z)k is given by
nabla times F =
i j k
part
partx
part
party
part
partz
F 1 F 2 F 3
= (partF 3party
minus part F 2partz
)i minus (partF 3partx
minus part F 1partz
) j + (partF 2partx
minus part F 1party
)k
Directional Derivative
The directional derivative of f in the direction of the vector u is given by
df
du =
nablaf middot u
Surface Normals
The normal to the surface F (xy z) = 0 is parallel to the vector
nablaF = partF
partxi +
part F
party j +
part F
partz k
20
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Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
21
7232019 Fomula Maths
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12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
22
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2428
Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
23
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2528
z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2628
df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2728
References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2828
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2228
Line Integral int C
F middot dr =
int C
f dx + g dy + h dz
Surface Integral int int S
F middot n dS =
int int D
F 1n1 + F 2n2 + F 3n3 dudv
int int S
φ(xy z) dS =
int int D
φ(xy f (x y)) dxdy
| n middot k| =
int int D
φ(xy f (x y))
860698 983080partf
partx
9830812
+
983080partf
party
9830812
+ 1 dxdy
Greenrsquos Theorem in the plane
int int R 983080partQ
partx minus part P
party 983081 dxdy =
C P dx + Q dy
where C is a simple closed curve traversed anticlockwise which bounds the region R in the xy
plane
Gaussrsquo Divergence Theoremint int S
F middot dS =
int int S
F middot n dS =
int int int V
nabla middot F dV
where V is a region bounded by the closed surface S
(Note n is the outward unit normal to S )
Stokesrsquo Theorem int int S
nabla times F middot n dS =
C
F middot dr
where C is a simple closed curve which bounds the open surface S
(Note If
n = k then C is traversed in an anticlockwise direction)
Element of area in plane polar coordinates dA = dxdy = r dr dθ
Element of surface area dS for a sphere (radius a) dS = a2 sin φdθdφ
Element of volume dV in cylindrical and spherical polar coordinates
bull Cylindrical dV = r dr dθ dz bull Spherical dV = r2 sin φdrdθdφ
21
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2328
12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
22
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2428
Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
23
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2528
z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2628
df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2728
References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2828
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2328
12 Statistics
bull P (A cap B) = P (A)P (B | A)
bull P (A
cupB) = P (A) + P (B)
minusP (A
capB)
bull Binomial probability function p(x) = P (X = x) =
1048616n
x
1048617 px(1 minus p)nminusx
micro = np σ2 = np(1 minus p)
bull Poisson probability function p(x) = P (X = x) = λx
xeminusλ
micro = λ σ2 = λ
bull Continuous probability function F (x) = P (X le x) =
int xminusinfin
f (t)dt
bull d
dx(F (x)) = f (x)
bull Mean (continuous density function) micro =
int infinminusinfin
xf (x) dx
bull Variance (continuous density function) σ2 =
int infinminusinfin
(x minus micro)2f (x) dx
bull Density of normal distribution f (x) = 1
σradic
2πeminus
1
2(xminusmicroσ )
2
bull Standard normal variable Z =
X
minusmicro
σ
bull Uniform density function f (x) =
1
b minus a for a lt x le b
0 otherwise
bull Sample mean x = 1
n
nsumi=1
xi
bull Sample variance s2 = 1
n minus 1
nsumi=1
(xi minus x)2 =n
n
sumi=1
x2i minus 1048616
n
sumi=1
xi10486172
n(n minus 1)
22
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2428
Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
23
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2528
z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2628
df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2728
References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2828
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2428
Test Statistics
bull Central Limit Theorem Z = X minus micro
σradic
n
bull Test for single mean t =
x minus micro
sradic n follows a t
nminus1 distribution
bull Test for two means t = x1 minus x2 minus (micro1 minus micro2)
s p991770
1n1
+ 1n2
follows a tn1+n2minus2 distribution where
s2 p = (n1 minus 1)s21 + (n2 minus 1)s22
n1 + n2 minus 2
bull Test for a single variance χ2 = (n minus 1)s2
σ2 follows a χ2
nminus1 distribution
bull Test for proportions z = ˆ p minus p
radic p(1
minus p)n
where ˆ p = X
n
100(1 minus α) Confidence Intervals
bull for true mean micro amp known σ x plusmn zα2σradic
n
bull for true mean micro amp unknown σ x plusmn tnminus1α2sradic n
bull for true variance σ2 amp known micro (n minus 1)s2χ2nminus1α2
(n minus 1)s2χ2nminus11minusα2
bull for true variance σ2 amp unknown micro (n minus 1)s2
χ2nminus1α2
(n minus 1)s2
χ2nminus11minusα2
bull for true mean difference micro1 minus micro2 amp known σ (x1 minus x2) plusmn zα2 σ
860698 1
n1+
1
n2
bull for true mean difference micro1 minus micro2 amp unknown σ (x1 minus x2) plusmn tn1+n2minus2α2 s p
860698 1
n1+
1
n2
100(1 minus α) Prediction Intervals
bull if σ is known x plusmn zα2 σ
1057306 1 +
1
n
bull if σ is unknown x plusmn tnminus1α2 s
1057306 1 +
1
n
23
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2528
z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2628
df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2728
References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2828
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2528
z 00 01 02 03 04 05 06 07 08 09
00 5000 5040 5080 5120 5160 5199 5239 5279 5319 5359
01 5398 5438 5478 5517 5557 5596 5636 5675 5714 5753
02 5793 5832 5871 5910 5948 5987 6026 6064 6103 6141
03 6179 6217 6255 6293 6331 6368 6406 6443 6480 6517
04 6554 6591 6628 6664 6700 6736 6772 6808 6844 6879
05 6915 6950 6985 7019 7054 7088 7123 7157 7190 7224
06 7257 7291 7324 7357 7389 7422 7454 7486 7517 7549
07 7580 7611 7642 7673 7704 7734 7764 7794 7823 7852
08 7881 7910 7939 7967 7995 8023 8051 8078 8106 8133
09 8159 8186 8212 8238 8264 8289 8315 8340 8365 838910 8413 8438 8461 8485 8508 8531 8554 8577 8599 8621
11 8643 8665 8686 8708 8729 8749 8770 8790 8810 8830
12 8849 8869 8888 8907 8925 8944 8962 8980 8997 9015
13 9032 9049 9066 9082 9099 9115 9131 9147 9162 9177
14 9192 9207 9222 9236 9251 9265 9279 9292 9306 9319
15 9332 9345 9357 9370 9382 9394 9406 9418 9429 9441
16 9452 9463 9474 9484 9495 9505 9515 9525 9535 9545
17 9554 9564 9573 9582 9591 9599 9608 9616 9625 9633
18 9641 9649 9656 9664 9671 9678 9686 9693 9699 9706
19 9713 9719 9726 9732 9738 9744 9750 9756 9761 9767
20 9772 9778 9783 9788 9793 9798 9803 9808 9812 9817
21 9821 9826 9830 9834 9838 9842 9846 9850 9854 9857
22 9861 9864 9868 9871 9875 9878 9881 9884 9887 9890
23 9893 9896 9898 9901 9904 9906 9909 9911 9913 9916
24 9918 9920 9922 9925 9927 9929 9931 9932 9934 9936
25 9938 9940 9941 9943 9945 9946 9948 9949 9951 9952
26 9953 9955 9956 9957 9959 9960 9961 9962 9963 9964
27 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974
28 9974 9975 9976 9977 9977 9978 9979 9979 9980 9981
29 9981 9982 9983 9983 9984 9984 9985 9985 9986 9986
30 9987 9987 9987 9988 9988 9989 9989 9989 9990 9990
Table 1 The Cumulative Distribution Function P (Z le z) for the Standard Normal Distribution
- positive values for Z [1]
24
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2628
df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2728
References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2828
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2628
df 90 95 975 99 995 999
1 3078 6314 12706 31821 63657 318309
2 1886 2920 4303 6965 9925 22327
3 1638 2353 3183 4541 5841 10215
4 1533 2132 2777 3747 4604 7173
5 1476 2015 2571 3365 4032 5893
6 1440 1943 2447 3143 3708 5208
7 1415 1895 2365 2998 3500 4785
8 1397 1860 2306 2897 3355 4501
9 1383 1833 2262 2822 3250 4297
10 1372 1812 2228 2764 3169 4144
11 1363 1796 2201 2718 3106 4025
12 1356 1782 2179 2681 3055 3930
13 1350 1771 2160 2650 3012 3852
14 1345 1761 2145 2625 2977 3787
15 1341 1753 2132 2603 2947 3733
16 1337 1746 2120 2584 2921 3686
17 1333 1740 2110 2567 2898 3646
18 1330 1734 2101 2552 2879 3611
19 1328 1729 2093 2540 2861 3580
20 1325 1725 2086 2528 2845 3552
21 1323 1721 2080 2518 2831 352722 1321 1717 2074 2508 2819 3505
23 1319 1714 2069 2500 2807 3485
24 1318 1711 2064 2492 2797 3467
25 1316 1708 2060 2485 2788 3450
26 1315 1706 2056 2479 2779 3435
27 1314 1703 2052 2473 2771 3421
28 1313 1701 2048 2467 2763 3408
29 1311 1699 2045 2462 2756 3396
30 1310 1697 2042 2457 2750 3385
40 1303 1684 2021 2423 2705 3307
50 1299 1676 2009 2403 2678 3262
60 1296 1671 2000 2390 2660 3232
80 1292 1664 1990 2374 2639 3195
100 1290 1660 1984 2364 2626 3174
200 1286 1653 1972 2345 2601 3132
infin 1282 1645 1960 2326 2576 3090
Table 2 The Cumulative Distribution Function for the t Distribution [1]
25
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2728
References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2828
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2728
References
[1] Vining GG and Kowalski SM Statistical Methods for Engineers 3rd ed BrooksCole
2011
[2] Stewart J Calculus 7th ed (International Metric Version) BrooksCole 2012
[3] Burden RL and Faires JD Numerical Analysis 8th ed BrooksCole Pacific Grove
2005
26
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2828
7232019 Fomula Maths
httpslidepdfcomreaderfullfomula-maths 2828