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 459: 2

Answer

See below

Work Step by Step

1. Find eigenvalues: (A-$\lambda$I)$\vec{V}$=$\vec{0}$ $\begin{bmatrix} -1-\lambda & -2\\ -2 & 2-\lambda \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \end{bmatrix}$ $\begin{bmatrix} -1-\lambda & -2\\ -2 & 2-\lambda \end{bmatrix}=0$ $(-1- \lambda)(2-\lambda)=0$ $\lambda^2-\lambda -6=0$ $\lambda_1=3,\lambda_2=-2$ 2. Find eigenvectors: For $\lambda=3$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} -1-\lambda & -2\\ -2 & 2-\lambda \end{bmatrix}=\begin{bmatrix} -4 & -2 \\ -2 & -1 \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \end{bmatrix} \\ \rightarrow 2v_1+v_2=0$ Let $r$ be a free variable. $\vec{V}=r(-1,2) \\ E_2=\{(-1,2)\} \rightarrow dim(E_2)=1$ The eigenvectors span $\{-1,2)\}$ in $R$ For $\lambda=-2$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} -1-\lambda & -2\\ -2 & 2-\lambda \end{bmatrix}=\begin{bmatrix} 1 & -2 \\ -2 & 4 \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \end{bmatrix} \\ \rightarrow w_1-2w_2=0$ Let $s$ be a free variable. $\vec{V}=s(2,1) \\ E_1=\{(2,1)\} \rightarrow dim(E_1)=1$ The eigenvectors span $\{2,1)\}$ in $R$ Hence, $A$ is diagonalizable We have $S=\begin{bmatrix} -1 & 2 \\ 2 & 1 \end{bmatrix}$ such that $S^{-1}AS=diag(3,-2)$
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