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Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology The context here is linear n th order initial value problems. That is, solve a n (x ) d n y dx n + a n-1 (x ) d n-1 y dx n-1 + ··· + a 1 (x ) dy dx + a 0 (x )y = g (x ) subject to conditions y (x 0 )= y 0 , y 0 (x 0 )= y 1 , ..., y (n-1) (x 0 )= y n-1 . The problem is called homogeneous if g (x ) 0. Otherwise it is called nonhomogeneous. September 12, 2018 1 / 32

Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

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Page 1: Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

Sept 14 Math 2306 sec. 53 Fall 2018

Section 6: Linear Equations Theory and Terminology

The context here is linear nth order initial value problems. That is, solve

an(x)dnydxn + an−1(x)

dn−1ydxn−1 + · · ·+ a1(x)

dydx

+ a0(x)y = g(x)

subject to conditions

y(x0) = y0, y ′(x0) = y1, . . . , y (n−1)(x0) = yn−1.

The problem is called homogeneous if g(x) ≡ 0. Otherwise it is callednonhomogeneous.

September 12, 2018 1 / 32

Page 2: Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

First we focus on Homogeneous EquationsWe’ll consider the equation

an(x)dnydxn + an−1(x)

dn−1ydxn−1 + · · ·+ a1(x)

dydx

+ a0(x)y = 0

and assume that each ai is continuous and an is never zero on theinterval of interest.

Theorem:(the principle of superposition) If y1, y2, . . . , yk are allsolutions of this homogeneous equation on an interval I, then thelinear combination

y(x) = c1y1(x) + c2y2(x) + · · ·+ ckyk (x)

is also a solution on I for any choice of constants c1, . . . , ck .

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Page 3: Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

Linear Dependence

Definition: A set of functions f1(x), f2(x), . . . , fn(x) are said to belinearly dependent on an interval I if there exists a set of constantsc1, c2, . . . , cn with at least one of them being nonzero such that

c1f1(x) + c2f2(x) + · · ·+ cnfn(x) = 0 for all x in I.

A set of functions that is not linearly dependent on I is said to belinearly independent on I.

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Page 4: Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

Example: A linearly Dependent Set

The functions f1(x) = sin2 x , f2(x) = cos2 x , and f3(x) = 1 are linearlydependent on I = (−∞,∞).

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Page 5: Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

Example: A linearly Independent Set

The functions f1(x) = sin x and f2(x) = cos x are linearly independenton I = (−∞,∞).

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Page 6: Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

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Page 7: Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

Determine if the set is Linearly Dependent orIndependent on (−∞,∞)

f1(x) = x2, f2(x) = 4x , f3(x) = x − x2

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Page 8: Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

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Page 9: Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

Definition of Wronskian

Let f1, f2, . . . , fn posses at least n − 1 continuous derivatives on aninterval I. The Wronskian of this set of functions is the determinant

W (f1, f2, . . . , fn)(x) =

∣∣∣∣∣∣∣∣∣f1 f2 · · · fnf ′1 f ′2 · · · f ′n...

......

...f (n−1)1 f (n−1)

2 · · · f (n−1)n

∣∣∣∣∣∣∣∣∣ .

(Note that, in general, this Wronskian is a function of the independentvariable x . )

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Page 10: Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

Determinants

If A is a 2× 2 matrix A =

[a bc d

], then its determinant

det(A) = ad − bc.

If A is a 3× 3 matrix A =

a11 a12 a13a21 a22 a23a31 a32 a33

, then its determinant

det(A) = a11det[

a22 a23a32 a33

]−a12det

[a21 a23a31 a33

]+a13det

[a21 a22a31 a32

]

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Page 11: Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

Determine the Wronskian of the Functions

f1(x) = sin x , f2(x) = cos x

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Page 12: Sept 14 Math 2306 sec. 53 Fall 2018facultyweb.kennesaw.edu/lritter/Sept14_2306_53_F18f.pdf · Sept 14 Math 2306 sec. 53 Fall 2018 Section 6: Linear Equations Theory and Terminology

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