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 - 7.3 Diagonalization - Problems - Page 460: 9

Answer

See below

Work Step by Step

1. Find eigenvalues: (A-$\lambda$I)$\vec{V}$=$\vec{0}$ $\begin{bmatrix} -2-\lambda & 1 & 4\\ -2 & 1-\lambda & 4\\ -2 & 1 & 4-\lambda \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \\ v_3 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \\ 0 \end{bmatrix}$ $\begin{bmatrix} -2-\lambda & 1 & 4\\ -2 & 1-\lambda & 4\\ -2 & 1 & 4-\lambda \end{bmatrix}=0$ $\lambda^2(\lambda-3)=0$ $\lambda_1=\lambda_2=0,\lambda_3=3$ 2. Find eigenvectors: For $\lambda=3$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} -1 & 1 & 4\\ -2 & -2 & 4\\ -2 & 1 & 1 \end{bmatrix}=\begin{bmatrix} v_1\\ v_2 \\ v_3 \end{bmatrix}=\begin{bmatrix} 0\\ 0\\ 0 \end{bmatrix} \\ \rightarrow v_1-v_3=0\\ v_2-v_3=0$ Let $r$ be a free variable. $\vec{V}=r(1,1,1) \\ E_2=\{(1,1,1)\} \rightarrow dim(E_2)=1$ The eigenvectors span $\{(1,1,1)\}$ in $R$ For $\lambda=0$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} -2 & 1 & 4\\ -2 & 1 & 4\\ -2 & 1 & 4 \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \\ v_3 \end{bmatrix}=\begin{bmatrix} 0\\ 0\\ 0 \end{bmatrix} \\ \rightarrow -2v_1+v_2+4v_3=0$ Let $s,t$ be a free variable. $\vec{V}=s(1,2,0)+t(0,-4,1) \\ E_2=\{(1,2,0);(0,-4,1)\} \rightarrow dim(E_2)=2$ The eigenvectors span $\{(1,2,0);(0,-4,1)\}$ in $R$ Since there are just three independent eigenvectors exist, $A$ is diagonalizable. Obtain: $\begin{bmatrix} 1 & 1 & 0\\ 1 & 2 & -4\\ 1 & 0 & 1 \end{bmatrix} $
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