Linear Algebra and Its Applications (5th Edition)

Published by Pearson
ISBN 10: 032198238X
ISBN 13: 978-0-32198-238-4

Chapter 5 - Eigenvalues and Eigenvectors - 5.4 Exercises - Page 296: 13

Answer

$\vec{b_1}=\begin{bmatrix} 1\\ 1 \end{bmatrix}$ and $\vec{b_2}=\begin{bmatrix} 1\\ 3 \end{bmatrix}$

Work Step by Step

$A=P^{-1}DP$ $det\begin{bmatrix} -\lambda&1\\ -3&4-\lambda \end{bmatrix}=(-\lambda)(4-\lambda)+3=0$ $\lambda=1, \lambda=3$ When $\lambda=1$, $A-\lambda I=\begin{bmatrix} -1&1\\ -3&3 \end{bmatrix}$ and $Nul(A-\lambda I)=\begin{bmatrix} 1\\ 1 \end{bmatrix}$ When $\lambda=3$, $A-\lambda I=\begin{bmatrix} -3&1\\ -3&1 \end{bmatrix}$ and $Nul(A-\lambda I)=\begin{bmatrix} 1\\ 3 \end{bmatrix}$ $P=\begin{bmatrix} 1&1\\ 1&3 \end{bmatrix}$ and $D=\begin{bmatrix} 1&0\\ 0&3 \end{bmatrix}$ By Theorem 8, the basis for $R^2$ is the columns of P, $\begin{bmatrix} 1\\ 1 \end{bmatrix}$ and $\begin{bmatrix} 1\\ 3 \end{bmatrix}$
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