Elementary Linear Algebra 7th Edition

Published by Cengage Learning
ISBN 10: 1-13311-087-8
ISBN 13: 978-1-13311-087-3

Chapter 7 - Eigenvalues and Eigenvectors - 7.1 Eigenvalues and Eigenvectors - 7.1 Exercises - Page 351: 54

Answer

See below.

Work Step by Step

(Forward direction) First, let $\lambda=0$ be an eigenvalue of a matrix $A$. Therefore, $$\det(A-\lambda I) = \det(A-0I)=\det(A) = 0$$ This is the definition of singular. Therefore, $A$ is singular. (Backwards direction) Next, let $A$ be a singular matrix. Then, $\det(A) = 0$. Since $\det(A)=\det(A-0I)=0$, $\lambda=0$ is an eigenvalue of $A$.
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