Gradients and differentiation an introduction to calculus
LEARNING OBJECTIVESTo work out the gradient of a curve at a given pointTo differentiate from first principles
Esbolov Baurzhan
CALCULUS(исчисление)
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Rates of change
This graph shows the distance that a car travels over a period of 5 seconds.
The gradient of the graph tells us the rate at which the distance changes with respect to time.
In other words, the gradient tells us the speed of the car. Gradient=градиент
change in distancegradient = =
change in time40
=5
8 m/s
The car in this example is travelling at a constant speed since the gradient is the same at every point on the graph.
time (s)
dist
ance
(m
)
0 5
40
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x
y
(x1, y1)
(x2, y2)
0
Finding the gradient from two given points
If we are given any two points (x1, y1) and (x2, y2) on a line we can calculate the gradient of the line as follows:
the gradient =change in ychange in x
x2 – x1
y2 – y1
Draw a right-angled triangle between the two points on the line as follows:
y ym
x x
2 1
2 1
the gradient, =
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Differentiation from first principles
Suppose we want to find the gradient of a curve at a point A.
We can add another point B on the line close to point A.
As point B moves closer to point A, the gradient of the chord AB gets closer to the gradient of the tangent at A.
δx represents a small change in x and δy represents a small change in y.
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Differentiation from first principles
We can write the gradient of the chord AB as:
change in =
change in
y
x
y
x
As B gets closer to A, δx gets closer to 0 and gets closery
x
to the value of the gradient of the tangent at A.
δx can’t actually be equal to 0 because we would then have division by 0 and the gradient would then be undefined.
Instead we must consider the limit as δx tends to 0.
This means that δx becomes infinitesimal without actually becoming 0.
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Differentiation from first principles
Let’s apply this method to a general point on the curve y = x2.
If we let the x-coordinate of a general point A on the curve y = x2 be x, then the y-coordinate will be x2.
So, A is the point (x, x2).
If B is another point close to A(x, x2) on the curve, we can write the coordinates of B as (x + δx, (x + δx)2).
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Differentiation from first principles
The gradient of chord AB is:2 2( )
=( )
y x x x
x x x x
δx
δy
2 2 22 ( )=
x x x x x
x
22 ( )=
x x x
x
(2 )=
x x x
x
2
0So for = , lim = 2
x
yy x x
x
= 2 +x x
A(x, x2)
B(x + δx, (x + δx)2)
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The gradient function
So the gradient of the tangent to the curve y = x2 at the general point (x, y) is 2x.
2x is often called the derived function(полученные функции) of y = x2.
If the curve is written using function notation as y = f(x), then the derived function can be written as f ′(x).
So, if: f(x) = x2
This notation is useful if we want to find the gradient of f(x) at a particular point.
For example, the gradient of f(x) = x2 at the point (5, 25) is:
f ′(5) = 2 × 5 = 10
f ′(x) = 2xThen:
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Differentiating y = x3 from first principles
For the curve y = x3, we can consider the general point A (x, x3) and the point B (x + δx, (x + δx)3) a small distance away from A.
The gradient of chord AB is then:3 3( )
=( )
y x x x
x x x x
3 2 2 3 33 3 ( ) ( )=
x x x x x x x
x
2 2 33 3 ( ) ( )=
x x x x x
x
2 2(3 3 ( ) )=
x x x x x
x
2 2= 3 3 ( )x x x x
3 2
0So for = , lim = 3
x
yy x x
x
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The gradient of y = x3
So, the gradient of the tangent to the curve y = x3 at the general point (x, y) is 3x2.
So if, f(x) = x3
What is the gradient of the tangent to the curve f(x) = x3 at the point (–2, –8)?
f ′(x) = 3x2
f ′(–2) = 3(–2)2 = 12
Explain why the gradient of f(x) = x3 will always be positive.
f ′(x) = 3x2Then:
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Using the notation
We have shown that for y = x3
dydx
represents the derivative of y with respect to x.dy
dx
2
0lim = 3x
yx
x
0limx
y
x
is usually written as .dy
dx
So if y = x3
of the tangent.
Remember, is the gradient of a chord, while is the gradienty
x
dy
dx
2= 3dy
xdx
then:
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Using the notation dydx
This notation can be adapted for other variables so, for example:
Also, if we want to differentiate 2x4 with respect to x, for example, we can write:
represents the derivative of s with respect to t.ds
dt
We could work this out by differentiating from first principles, but in practice this is unusual.
4(2 )d
xdx
If s is distance and t is time then we can interpret this as the rate of change in distance with respect to time. In other words, the speed.
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Co
nte
nts
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Rates of change
The gradient of the tangent at a point
The gradient of the tangent as a limit
Differentiation of polynomials
Second order derivatives
Tangents and normals
Examination-style questions
Differentiation of polynomials
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Differentiation
If we continued the process of differentiating from first principles we would obtain the following results:
ydy
dx
x x2 x3 x4 x5 x6
What pattern do you notice?
In general:
1If then n ndyy x nx
dx
and when xn is preceded by a constant multiplier a we have:
1 2x 3x2 4x3 5x4 6x5
1If = then =n ndyy ax anx
dx
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y
x0
Differentiation
For example, if y = 2x4
4 1= 2× 4 =dy
xdx
38x
Suppose we have a function of the form y = c, where c is a constant number.
This corresponds to a horizontal line through the point (0, c).
c
The gradient of this line is always equal to 0.
If y = c
= 0dy
dx
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Differentiation
Find the gradient of the curve y = 3x4 at the point (–2, 48).
Differentiating:3=12
dyx
dx
At the point (–2, 48) x = –2 so:
3=12( 2)dy
dx
=12 × 8
= 96
The gradient of the curve y = 3x4 at the point (–2, 48) is –96.
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Differentiating polynomials
Suppose we want to differentiate a polynomial function. For example:
If = ( ) ± ( ) then = '( ) ± '( )dy
y f x g x f x g xdx
Differentiate y = x4 + 3x2 – 5x + 2 with respect to x.
In general, if y is made up of the sum or difference of any given number of functions, its derivative will be made up of the derivative of each of the functions.
We can differentiate each term in the function to give .dy
dx
4x3 + 6x – 5=dy
dxSo:
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Differentiating polynomials
Find the point on y = 4x2 – x – 5 where the gradient is 15.
= 8 1dy
xdx
=15dy
dxwhen 8x – 1 = 15
8x = 16
x = 2
We now substitute this value into the equation y = 4x2 – x – 5 to find the value of y when x = 2
y = 4(2)2 – 2 – 5
The gradient of y = 4x2 – x – 5 is 15 at the point (2, 9).
= 9
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Differentiating polynomials
In some cases, a function will have to be written as separate terms containing powers of x before differentiating.For example:
Given that f(x) = (2x – 3)(x2 – 5) find f ′(x).
Expanding: f(x) = 2x3 – 3x2 – 10x + 15
f ′(x) = 6x2 – 6x –10
Find the gradient of f(x) at the point (–3, –36).
When x = –3 we have f ′(–3) = 6(–3)2 – 6(–3) –10
= 54 + 18 – 10
= 62
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Differentiating polynomials
3122= + 2
dyx
dx
= 6x3 + 2
5 23 + 4 8Differentiate = with respect to .
2
x x xy x
x
5 23 4 8= +
2 2 2
x x xy
x x x
432= + 2 4y x x
We can now differentiate:
= 2(3x3 + 1)
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Differentiating axn for all rational n
This is true for all negative or fractional values of n. For example:
1If = then =n ndyy ax anx
dx
2Differentiate = with respect to .y x
x
Start by writing this as y = 2x–1
So:1 1= 1 × 2
dyx
dx
2= 2x
2=
2
x
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Differentiating axn for all rational n
Differentiate = 4 with respect to .y x x
So:12
112= × 4
dyx
dx
12= 2x
=2
x
Start by writing this as12= 4y x
Remember, in some cases, a function will have to be written as separate terms containing powers of x before differentiating.
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Differentiating axn for all rational n
2Given that ( ) = (1+ ) find '( ).f x x f x
( ) = (1+ )(1+ )f x x x
=1+ 2 +x x
12=1+ 2 +x x
12'( ) = +1f x x
=1
+1x
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Co
nte
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Rates of change
The gradient of the tangent at a point
The gradient of the tangent as a limit
Differentiation of polynomials
Second order derivatives
Tangents and normals
Examination-style questions
Second order derivatives
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Second order derivatives
Differentiating a function y = f(x) gives us the derivative
dy
dxor f ′(x)
Differentiating the function a second time gives us the second order derivative. This can be written as
2
2
d y
dxor f ′′(x)
The second order derivative gives us the rate of change of the gradient of a function.
We can think of it as the gradient of the gradient.
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Using second order derivatives
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Co
nte
nts
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Rates of change
The gradient of the tangent at a point
The gradient of the tangent as a limit
Differentiation of polynomials
Second order derivatives
Tangents and normals
Examination-style questions
Tangents and normals
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Tangents and normals
Remember, the tangent to a curve at a point is a straight line that just touches the curve at that point.
The normal to a curve at a point is a straight line that is perpendicular to the tangent at that point.
We can use differentiation to find the equation of the tangent or the normal to a curve at a given point. For example:
Find the equation of the tangent and the normal to the curve y = x2 – 5x + 8 at the point P(3, 2).
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Tangents and normals
y = x2 – 5x + 8
= 2 5dy
xdx
At the point P(3, 2) x = 3 so:
= 2(3) 5 =dy
dx 1
The gradient of the tangent at P is therefore 1.
Using y – y1 = m(x – x1), give the equation of the tangent at the point P(3, 2):
y – 2 = x – 3
y = x – 1
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Tangents and normals
The normal to the curve at the point P(3, 2) is perpendicular to the tangent at that point.
Using y – y1 = m(x – x1) give the equation of the tangent at the point P(3, 2):
The gradient of the tangent at P is 1 and so the gradient of the normal is –1.
2 = ( 3)y x
+ 5 = 0y x
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Co
nte
nts
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Rates of change
The gradient of the tangent at a point
The gradient of the tangent as a limit
Differentiation of polynomials
Second order derivatives
Tangents and normals
Examination-style questions
Examination-style questions
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Examination-style question
The curve f(x) = x2 + 2x – 8 cuts the x-axes at the points A(–a, 0) and B(b, 0) where a and b are positive integers.
a) Find the coordinates of points A and B.
b) Find the gradient function of the curve.
c) Find the equations of the normals to the curve at points A and B.
d) Given that these normals intersect at the point C, find the coordinates of C.
a) The equation of the curve can be written in factorized form as y = (x + 4)(x – 2) so the coordinates of A are (–4, 0) and the coordinates of B are (2, 0).
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Examination-style question
b) f(x) = x2 + 2x – 8 f’(x) = 2x + 2
c) At (–4, 0) the gradient of the curve is –8 + 2 = –6
Using y – y1 = m(x – x1), the equation of the normal at (–4, 0) is:
The gradient of the normal at (–4, 0) is .16
y – 0 = (x + 4)16
16y = x + 4
At (2, 0) the gradient of the curve is 4 + 2 = 6
Using y – y1 = m(x – x1), the equation of the normal at (2, 0) is:
The gradient of the normal at (2, 0) is – .16
y – 0 = – (x – 2)16
26y = 2 – x
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Examination-style question
x + 4 = 2 – x
d) Equating and :1 2
2x = –2
x = 1
When x = –1, y = . So the coordinates of C are (–1, ).12
12