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 - 7.2 General Results for Eigenvalues and Eigenvectors - Problems - Page 452: 20

Answer

See below

Work Step by Step

1. Find eigenvalues: $\left (\lambda -2\right )^2 ( \lambda +1)=0$ $\lambda_1=\lambda_2=2, \lambda_3=-1$ We just need to test with $\lambda_1,\lambda_2$ For $\lambda=2$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} -1-\lambda & -3 & 1 \\ -1 & -1-\lambda & 1\\ -1 & -3 & 3-\lambda \end{bmatrix}=\begin{bmatrix} -3& -3 & 1\\ -1 & -3 & 1\\ -1 & -3 & 1 \end{bmatrix}$ We obtain reduced row echelon form: $\begin{bmatrix} -3 & -3 & 1| 0 \\ -1 & -3 & 1| 0 \\ -1 & -3 & 1 \end{bmatrix} \approx \begin{bmatrix} 1 & 0 & 0 | 0 \\ 0 & 3 & 1 | 0\\ 0 & 0 & 0 \end{bmatrix}$ Then, $B\vec{V}$=$\vec{0}$ Let $r,s$ be free variables. $\vec{V}=r(-3,1,0)+s(1,0,1) \\ E_2=\{(-3,1,0) +(1,0,1)\} \rightarrow dim(E_2)=2$ Hence, matrix $A$ is non-defective.
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