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 - 5.3 Exercises - Page 288: 4

Answer

$\begin{bmatrix} 4-3\cdot2^k&12\cdot2^k-12\\ 1-2^k&4\cdot2^k-3 \end{bmatrix}$

Work Step by Step

The matrices in the equation as written correspond to $A=PDP^{-1}$. $A^k=PD^kP^{-1}=\begin{bmatrix} 3&4\\1&1 \end{bmatrix}\begin{bmatrix} 2^k&0\\0&1 \end{bmatrix}\begin{bmatrix} -1&4\\1&-3 \end{bmatrix}=\begin{bmatrix} 4-3\cdot2^k&12\cdot2^k-12\\ 1-2^k&4\cdot2^k-3 \end{bmatrix}$
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