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 - 7.7 Chapter Review - Additional Problems - Page 490: 19

Answer

See below

Work Step by Step

Assume that $A_1, A_2,..., A_k$ are $n × n$ matrices We obtain $A_n.v=\lambda_1 .v$ with $i=1,2,...k$ then $(A_1.A_2...A_k)v$$=(A_1.A_2...A_{k-1})(A_k.v)\\ =(\lambda_1.\lambda_2...\lambda_k)v$ Hence $v$ is also an eigenvector of the matrix $(A_1.A_2...A_k)$ The eigenvector: $=\lambda_1 \lambda_2...\lambda_k$
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