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: 5

Answer

See below

Work Step by Step

1. According to equation 7.1.1: $$Av = \lambda v$$ 2. Calculate $Av$: $$Av = \begin{bmatrix} 6 & -1 & 0 \\ -16 & 6 & 0 \\ -4 & -1 & 10 \end{bmatrix} \begin{bmatrix} c_1\\ -4c_1 \\ c_2 \end{bmatrix} =\begin{bmatrix} 6c_1+4c_1 \\ -16c_1- 24c_1 \\ -4c_1+4c_1+10c_2 \end{bmatrix}=\begin{bmatrix} 10c_1 \\ -40c_1 \\ 10c_2 \end{bmatrix}=10 \begin{bmatrix} c_1\\ -4c_1 \\ c_2 \end{bmatrix} $$ 3. Calculate $\lambda v$: $$\lambda v = 10 \begin{bmatrix} c_1\\ -4c_1 \\ c_2 \end{bmatrix}$$ 4. Since they satisfy equation 7.1.1, $\lambda$ and $v$ are an eigenvalue/eigenvector pair for this matrix $A$.
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