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 - 7.5 Orthogonal Diagonalization and Quadratic Forms - Problems - Page 474: 4

Answer

See below

Work Step by Step

1. Find eigenvalues: (A-$\lambda$I)$\vec{V}$=$\vec{0}$ $\begin{bmatrix} 1-\lambda & 2\\ 2 & 1-\lambda \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \end{bmatrix}$ $\begin{bmatrix} 1-\lambda & 2\\ 2 & 1-\lambda \end{bmatrix}=0$ $(1- \lambda)(1-\lambda)-4=0$ $(\lambda-1)^2-4=0$ $\lambda_1=-1, \lambda_2=3$ 2. Find eigenvectors: For $\lambda=-1$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} 1-\lambda & 2\\ 2 & 1-\lambda \end{bmatrix}=\begin{bmatrix} 2 & 2\\ 2 & 2 \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \end{bmatrix} \\ \rightarrow v_1+v_2=0$ Let $r$ be a free variable. $\vec{V}=r(-1,1) \\ E_1=\{(-1,1)\} \rightarrow dim(E_1)=1$ The eigenvectors span $\{-1,1)\}$ in $R$ For $\lambda=0$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} 1-\lambda & 2\\ 2 & 1-\lambda \end{bmatrix}=\begin{bmatrix} -2 & 2 \\ 2& -2 \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \end{bmatrix} \\ \rightarrow v_1-v_2=0$ Let $s$ be a free variable. $\vec{V}=r(1,1) \\ E_2=\{(1,1)\} \rightarrow dim(E_2)=1$ The eigenvectors span $\{(1,1)\}$ in $R$ Hence, $S=\frac{1}{\sqrt 13}\begin{bmatrix} -1 & 1\\ 1 & 1 \end{bmatrix} =\begin{bmatrix} -\frac{1}{\sqrt 2} & \frac{1}{\sqrt 2}\\ \frac{1}{\sqrt 2} & \frac{1}{\sqrt 2} \end{bmatrix} $
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