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: 11

Answer

$\begin{bmatrix} 1 & 5 \\ 0 & 1 \end{bmatrix}$

Work Step by Step

The $\mathcal{B}$-matrix of a transformation with standard matrix representation $A$ is given by the formula $A_{\mathcal{B}} = P^{-1} A P$, where $P$ is the matrix whose columns form the basis $\mathcal{B}$. (This is obtained from the formula $A = PDP^{-1}$ given in the text and solving for $D$, which in this case is not necessarily diagonal.) \begin{align*} A_{\mathcal{B}} &= P^{-1} A P = \frac{1}{5} \begin{bmatrix} 2 & -1 \\ 1 & 2 \end{bmatrix} \begin{bmatrix} 3 & 4 \\ -1 & -1 \end{bmatrix} \begin{bmatrix} 2 & 1 \\ -1 & 2 \end{bmatrix} \\ &= \frac{1}{5} \begin{bmatrix} 7 & 9 \\ 1 & 2 \end{bmatrix} \begin{bmatrix} 2 & 1 \\ -1 & 2 \end{bmatrix} \\ &= \frac{1}{5} \begin{bmatrix} 5 & 25 \\ 0 & 5 \end{bmatrix} \\ &= \begin{bmatrix} 1 & 5 \\ 0 & 1 \end{bmatrix}. \end{align*}
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