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: 11

Answer

The eigenspace is 1 dimensional subspace of $R^2$ Basis is $\Big\{\begin{bmatrix} -1\\ 3 \end{bmatrix} \Big\}$

Work Step by Step

$A-10I=\begin{bmatrix} -6&-2\\ -3&-1 \end{bmatrix}$ Row reduce augmented matrix for $(A-10I)x=0$ $\begin{bmatrix} 1&\frac{1}{3}&0\\ 0&0&0 \end{bmatrix}$ $x_1=-\frac{1}{3}x_2$ $x_2$ is free The eigenspace is 1 dimensional subspace of $R^2$ Basis is $\Big\{\begin{bmatrix} -1\\ 3 \end{bmatrix} \Big\}$
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