Linear Algebra: A Modern Introduction

Published by Cengage Learning
ISBN 10: 1285463242
ISBN 13: 978-1-28546-324-7

Chapter 4 - Eigenvalues and Eigenvectors - 4.1 Introduction to Eigenvalues and Eigenvectors - Exercises 4.1 - Page 260: 2

Answer

$\lambda=-1$

Work Step by Step

If A is an nxn matrix, a scalar $\lambda$ is called an eigenvalue of A is there is a non-zero vector $v$ such that $Ax=\lambda x$. This vector is called the eigenvector of A corresponding to $\lambda$. Hence here, we compute: $Av=\begin{bmatrix} 1 &2 \\ 2 & 1 \end{bmatrix}\cdot\begin{bmatrix} 3 \\ -3 \end{bmatrix}=\begin{bmatrix} -3\\ 3 \end{bmatrix}=-1\begin{bmatrix} 3 \\ -3 \end{bmatrix}=-1v$ Thus we can see that $\lambda=-1$
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