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 - 7.3 Diagonalization - Problems - Page 461: 32

Answer

See below

Work Step by Step

a) Let $S$ be a matrix such that $S^{-1}AS = diag(\lambda_1, \lambda_2,..., \lambda_n)$ then $\det (S^{-1}AS )=\lambda_1, \lambda_2,..., \lambda_n \\ \det (S^{-1}AS )\ne 0$ Hence, $A$ is invertible. b) We have $S^{-1}AS = diag(\lambda_1, \lambda_2,..., \lambda_n)$ then $(S^{-1}AS)^{-1}= diag(\lambda_1, \lambda_2,..., \lambda_n)^{-1}\\ \rightarrow (S^{-1}AS)^{-1}= diag(\frac{1}{\lambda_1}, \frac{1}{\lambda_2},..., \frac{1}{\lambda_n})\\ \rightarrow S^{-1}A^{-1}S= diag(\frac{1}{\lambda_1}, \frac{1}{\lambda_2},..., \frac{1}{\lambda_n})$
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