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: 11

Answer

See below

Work Step by Step

1. Find eigenvalues: (A-$\lambda$I)$\vec{V}$=$\vec{0}$ $\begin{bmatrix} 4-\lambda & 0 & 0\\ 3 & -1-\lambda & -1\\ 0 & 2 & 1-\lambda \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \\ v_3 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \\ 0 \end{bmatrix}$ $\begin{bmatrix} 4-\lambda & 0 & 0\\ 3 & -1-\lambda & -1\\ 0 & 2 & 1-\lambda \end{bmatrix}=0$ $(\lambda^2+1)(\lambda-4)=0$ $\lambda_1=4,\lambda_2=i,\lambda_3=-i$ 2. Find eigenvectors: For $\lambda=4$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} 0 & 0 & 0\\ 3 & -5 & -1\\ 0 & 2 & -3 \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. $\vec{V}=r(17,9,6) \\ E_1=\{(17,9,6)\} \rightarrow dim(E_1)=1$ The eigenvectors span $\{(17,9,6)\}$ in $R$ For $\lambda=i$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} 4-i & 0 & 0\\ 3 & -1-i & -1\\ 0 & 2 & 1-i \end{bmatrix}=\begin{bmatrix} v_1\\ v_2 \\ v_3 \end{bmatrix}=\begin{bmatrix} 0\\ 0\\ 0 \end{bmatrix} $ Let $s$ be a free variable. $\vec{V}=s(0,1-i,2) \\ E_2=\{(0,1-i,2)\} \rightarrow dim(E_2)=1$ The eigenvectors span $\{(0,1-i,2)\}$ in $R$ For $\lambda=-i$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} 4+i & 0 & 0\\ 3 & -1+i & -1\\ 0 & 2 & 1+i \end{bmatrix}=\begin{bmatrix} v_1\\ v_2 \\ v_3 \end{bmatrix}=\begin{bmatrix} 0\\ 0\\ 0 \end{bmatrix} $ Let $t$ be a free variable. $\vec{V}=t(0,1+i,2) \\ E_3=\{(0,1+i,2)\} \rightarrow dim(E_3)=1$ The eigenvectors span $\{(0,1+i,2)\}$ in $R$ Since there are three independent eigenvectors exist, $A$ is diagonalizable. Obtain $B=\begin{bmatrix} 17 & 0 & 0\\ 9 & 1-i & 1+i\\ 6 & 2 & 2 \end{bmatrix} $
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