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Lecture Notes in Differential Equations - Bruce E. Shapiro

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313<br />

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

4 1<br />

e 2t 1 −1<br />

+<br />

e −3t 6<br />

5 4 1 −4 4 5<br />

= 1 [( ) ( ]<br />

29<br />

e 2t 1<br />

+ e<br />

5 29 −4) −3t<br />

= 29 ( ) 1<br />

5 e2t + 1 ( ) 1<br />

1 5 e−3t −4<br />

(31.87)<br />

(31.88)<br />

(31.89)<br />

We observe <strong>in</strong> pass<strong>in</strong>g that the last l<strong>in</strong>e has the form y = ax 1 e λ1t +bx 2 e λ2t .<br />

Properties of Solutions<br />

Theorem 31.6. y = e λt v is a solution of the system y ′ = Ay if and only<br />

if v is an eigenvector of A with eigenvalue λ.<br />

Proof. Suppose that {λ, v} are an eigenvalue/eigenvector pair for the matrix<br />

A. Then<br />

Av = λv (31.90)<br />

and<br />

d (<br />

e λt v ) = λe λt v = e λt Av = A ( e λt v ) (31.91)<br />

dt<br />

Hence y = e λt v is a solution of y ′ = Ay.<br />

To prove the converse, suppose that y = e λt v for some number λ ∈ C and<br />

some vector v, is a solution of y ′ = Ay. Then y = e λt vmust satisfy the<br />

differential equation, so<br />

λe λt v = y ′ = Ay = Ae λt v (31.92)<br />

Divid<strong>in</strong>g by the common scalar factor of e λt , which can never be zero, gives<br />

Av = λv. Hence λ is an eigenvalue of A with eigenvector v.<br />

Theorem 31.7. The matrix e At is a fundamental matrix of y ′ = Ay.<br />

Proof.<br />

Let W = e At . From the previous theorem,<br />

W ′ = d dt eAt = Ae At = AW (31.93)

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