Differential Equations and Linear Algebra (4th Edition)

Published by Pearson
ISBN 10: 0-32196-467-5
ISBN 13: 978-0-32196-467-0

Chapter 9 - Systems of Differential Equations - 9.5 Vector Differential Equations: Defective Coefficient Matrix - True-False Review - Page 619: d

Answer

False

Work Step by Step

If $v_0$ is an eigenvector of A corresponding to $\lambda$ and $v_1$ is a vector satisfying $(A − \lambda I)v_1 = v_0$ we obtain: $Ax=A(e^{\lambda t}v_1)\\ =(Av_1)e^{\lambda t}\\ =(v_0+\lambda v_1)e^{\lambda t}\\ =e^{\lambda t}v_0+x'(t)$ Then $x(t) = e^{\lambda t}v_1$ is not a solution to the vector differential equation because $x′ \ne Ax$.
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