Differential Equations and Linear Algebra (4th Edition)

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

Chapter 7 - Eigenvalues and Eigenvectors - 7.1 The Eigenvalue/Eigenvector Problem - True-False Review - Page 443: i

Answer

True

Work Step by Step

If $\lambda$ is an eigenvalue of the matrix A, obtain $A^3v=A^2(Av)=A^2(\lambda v)=\lambda (A^2v)=\lambda (\lambda^2 v)=\lambda^3 v$ Hence, If $\lambda$ is an eigenvalue of the matrix A, then $\lambda^3$ is an eigenvalue of A^3.
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