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 - 7.1 The Eigenvalue/Eigenvector Problem - Problems - Page 443: 3

Answer

Since they satisfy equation 7.1.1, $\lambda$ and $v$ are an eigenvalue/eigenvector pair for this matrix $A$.

Work Step by Step

1. According to equation 7.1.1: $$Av = \lambda v$$ 2. Calculate $Av$: $$Av = \begin{bmatrix} 1 & -2 & -6 \\ -2 & 2 & -5 \\ 2 & 1 & 8 \end{bmatrix} \begin{bmatrix} 2 \\ 1 \\ -1 \end{bmatrix} = \begin{bmatrix} (1)(2) + (-2)(1) + (-6)(-1) \\ (-2)(2) + (2)(1) + (-5)(-1) \\ (2)(2) + (1)(1) + (8)(-1) \end{bmatrix} = \begin{bmatrix} 6 \\ 3 \\ -3\end{bmatrix} $$ 3. Calculate $\lambda v$: $$\lambda v = 3 \begin{bmatrix} 2 \\ 1 \\ -1 \end{bmatrix} = \begin{bmatrix} 6 \\ 3 \\ -3 \end{bmatrix}$$ 4. Since they satisfy equation 7.1.1, $\lambda$ and $v$ are an eigenvalue/eigenvector pair for this matrix $A$.
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