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 461: 34

Answer

See below

Work Step by Step

1. Find eigenvalues: (A-$\lambda$I)$\vec{V}$=$\vec{0}$ $\begin{bmatrix} -2-\lambda & 4\\ 1 & 1-\lambda \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \end{bmatrix}$ $\begin{bmatrix} -2-\lambda & 4\\ 1 & 1-\lambda \end{bmatrix}=0$ $\left (-2- \lambda \right ) (1- \lambda)-4=0$ $(\lambda+3)(\lambda-2)=0$ $\lambda_1=-3, \lambda_2=2$ Hence, A is nondefective by Corollary 7.2.10. The eigenvectors are easily computed: $\lambda_1=-3: v=r(-4,1) \\ \lambda_2=2: v=s(1,1)$ Set $S = \begin{bmatrix} -4 & 1\\ 1 & 1 \end{bmatrix}$ then cofactor matrix of $S$ be $M= \begin{bmatrix} 1 & -1\\ -1 & 4 \end{bmatrix}$ Hence, all eigenvectors of $A^T$ is: $v=(1,-1)\\ v=(-1,4)$
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