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Lecture Notes in Differential Equations - Bruce E. Shapiro

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312 LESSON 31. LINEAR SYSTEMS<br />

( ) 1 1<br />

The eigenvalues of A =<br />

are λ = 2, −3, which we f<strong>in</strong>d by solv<strong>in</strong>g<br />

4 −2<br />

the the characteristic equation. Let x 1 and x 2 be the eigenvectors of A.<br />

From the last theorem we know that<br />

e At = ( ) ( ) ( )<br />

e<br />

x 1 x 2t 0 x1<br />

2<br />

0 e −3t (31.77)<br />

x 2<br />

where x 1 is the eigenvector with eigenvalue 2 and x 2 is the eigenvector with<br />

eigenvalue -3.<br />

( )<br />

ui<br />

Let x i = .<br />

v i<br />

Then s<strong>in</strong>ce Ax i = λ i x i ,<br />

( ) ( ) ( )<br />

1 1 u1 u1<br />

= 2<br />

4 −2 v 1 v 1<br />

( ) ( ) ( )<br />

1 1 u2 u2<br />

= −3<br />

4 −2 v 2 v 2<br />

=⇒ u 1 = v 1 (31.78)<br />

=⇒ v 2 = −4u 2 (31.79)<br />

S<strong>in</strong>ce one component of each eigenvector is free, we are free to choose the<br />

follow<strong>in</strong>g eigenvectors:<br />

( ( 1 1<br />

x 1 = and x<br />

1)<br />

2 =<br />

(31.80)<br />

−4)<br />

Let<br />

Then<br />

Therefore<br />

U = ( ( )<br />

) 1 1<br />

x 1 x 2 =<br />

1 −4<br />

U −1 = 1<br />

det U [cof(U)]T = − 1 5<br />

(<br />

−4<br />

)<br />

−1<br />

−1 1<br />

e At = 1 ( ) ( ) ( )<br />

1 1 e<br />

2t<br />

0 4 1<br />

5 1 −4 0 e −3t 1 −1<br />

= 1 ( ) ( )<br />

1 1 4e<br />

2t<br />

e 2t<br />

5 1 −4 e −3t −e −3t<br />

= 1 ( )<br />

4e 2t + e −3t e 2t − e −3t<br />

5 4e 2t − 4e −3t e 2t + 4e −3t<br />

= 1 [( ) ( ) ]<br />

4 1<br />

e 2t 1 −1<br />

+<br />

e −3t<br />

5 4 1 −4 4<br />

(31.81)<br />

(31.82)<br />

(31.83)<br />

(31.84)<br />

(31.85)<br />

(31.86)<br />

Hence the solution is

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