Linear Algebra and Its Applications (5th Edition)

Published by Pearson
ISBN 10: 032198238X
ISBN 13: 978-0-32198-238-4

Chapter 5 - Eigenvalues and Eigenvectors - 5.1 Exercises - Page 274: 22

Answer

a) False b) False c) True d) False e) True

Work Step by Step

a) False. This is only true if the vector x is nonzero b) False. They may correspond to the same eigenvalue. Then, the eigenvalue will have a multiplicity of greater than 1. c) True. The steady state means $Ax=x$, which would correspond to an eigenvalue of 1. d) False. This is only true for triangular matrices e) True. The eigenspace of A is the null space of $(A-\lambda I)$
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