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 - 7.7 Chapter Review - Additional Problems - Page 489: 4

Answer

See below

Work Step by Step

1. Find eigenvalues: (A-$\lambda$I)$\vec{V}$=$\vec{0}$ $\begin{bmatrix} 1-\lambda & 1 & 0\\ -4 & 2-\lambda & 0\\ 17 & -11 & -2 - \lambda\end{bmatrix} \begin{bmatrix} v_1\\ v_2 \\ v_3\end{bmatrix}=\begin{bmatrix} 0\\ 0 \\0 \end{bmatrix}$ $\begin{bmatrix} 1-\lambda & 1 & 0\\ -4 & 2-\lambda & 0\\ 17 & -11 & -2 - \lambda\end{bmatrix}=0$ $\lambda_1=\lambda_2=3, \lambda_3=-2$ 2. Find eigenvectors: For $\lambda=3$ let $B=A-\lambda_1I$ $B=\begin{bmatrix} 1-\lambda & 1 & 0\\ -4 & 2-\lambda & 0\\ 17 & -11 & -2 - \lambda\end{bmatrix} =\begin{bmatrix} -2 & 1 & 0\\ -4 & -1 & 0\\ 17 & -11 & -5 \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \\ v_3\end{bmatrix}=\begin{bmatrix} 0\\ 0 \\0\end{bmatrix} \\$ We obtain reduced row echelon form: $S=\begin{bmatrix} -2 & 1 & 0\\ -4 & -1 & 0\\ 17 & -11 & -5 \end{bmatrix} \approx \begin{bmatrix} 1 & -3 & -5\\ 0 & 1 & 2\\ 0 & 0 & 0 \end{bmatrix}$ $\lambda =3$ has multiplicity $2$, but it contains only one unpivot column. Hence, $A$ is not diagonalizable.
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