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: 3

Answer

See below

Work Step by Step

1. Find eigenvalues: (A-$\lambda$I)$\vec{V}$=$\vec{0}$ $\begin{bmatrix} 4-\lambda & 6\\ 6 & 9-\lambda \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \end{bmatrix}$ $\begin{bmatrix} 4-\lambda & 6\\ 6 & 9-\lambda \end{bmatrix}=0$ $(4- \lambda)(9-\lambda)-36=0$ $\lambda^2-13\lambda=0$ $\lambda_1=0, \lambda_2=13$ 2. Find eigenvectors: For $\lambda=0$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} 4-\lambda & 6\\ 6 & 9-\lambda \end{bmatrix}=\begin{bmatrix} 4 & 6 \\ 6 & 9 \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \end{bmatrix} \\ \rightarrow 2v_1+3v_2=0$ Let $r$ be a free variable. $\vec{V}=r(-3,2) \\ E_1=\{(-3,2)\} \rightarrow dim(E_2)=1$ The eigenvectors span $\{-3,2)\}$ in $R$ For $\lambda=0$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} 4-\lambda & 6\\ 6 & 9-\lambda \end{bmatrix}=\begin{bmatrix} -9 & 6 \\ 6 & -4 \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \end{bmatrix} \\ \rightarrow 3v_1-2v_2=0$ Let $r$ be a free variable. $\vec{V}=r(2,3) \\ E_2=\{(2,3)\} \rightarrow dim(E_2)=1$ The eigenvectors span $\{2,3)\}$ in $R$ Hence, $S=\frac{1}{\sqrt 13}\begin{bmatrix} -3 & 2\\ 2 & 3 \end{bmatrix} =\begin{bmatrix} -\frac{3}{\sqrt 13} & \frac{2}{\sqrt 13}\\ \frac{2}{\sqrt 13} & \frac{3}{\sqrt 13} \end{bmatrix} $
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