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: 13

Answer

See below

Work Step by Step

1. Find eigenvalues: (A-$\lambda$I)$\vec{V}$=$\vec{0}$ $\begin{bmatrix} 1-\lambda & -2 & 0\\ -2 & 1-\lambda & 0\\ 0& 0 & 3-\lambda \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \\ v_3 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \\ 0 \end{bmatrix}$ $\begin{bmatrix} 1-\lambda & -2 & 0\\ -2 & 1-\lambda & 0\\ 0& 0 & 3-\lambda \end{bmatrix}=0$ $(\lambda-3)^2(\lambda+1)=0$ $\lambda_1=\lambda_2=3,\lambda_3=-1$ 2. Find eigenvectors: For $\lambda=-1$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} 2 & -2 & 0\\ -2 & 2 & 0\\ 0& 0 & 4 \end{bmatrix}=\begin{bmatrix} v_1\\ v_2 \\ v_3 \end{bmatrix}=\begin{bmatrix} 0\\ 0\\ 0 \end{bmatrix} $ Let $r$ be a free variable. $\vec{V}=r(1,1,0) \\ E_1=\{(1,1,0)\} \rightarrow dim(E_1)=1$ The eigenvectors span $\{(1,1,0)\}$ in $R$ For $\lambda=3$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} -2 & -2 & 0\\ -2 & -2 & 0\\ 0& 0 & 0 \end{bmatrix}=\begin{bmatrix} v_1\\ v_2 \\ v_3 \end{bmatrix}=\begin{bmatrix} 0\\ 0\\ 0 \end{bmatrix} $ Let $r,t$ be a free variable. $\vec{V}=r(-1,1,0)+t(0,0,1)\\ E_2=\{(-1,1,0);(0,0,1)\} \rightarrow dim(E_2)=2$ The eigenvectors span $\{(-1,1,0);(0,0,1)\}$ in $R$ Since there are three independent eigenvectors exist, $A$ is diagonalizable. Obtain $S=\begin{bmatrix} 1 & -1 & 0\\ 1 & 1 & 0\\ 0 & 0 & 1 \end{bmatrix} $
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