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 - 7.3 Diagonalization - Problems - Page 460: 27

Answer

See below

Work Step by Step

The given system can be written as $x′ = Ax$, where $A=\begin{bmatrix} -7 & -4\\ 18 & 11 \end{bmatrix}$ The transformed system is $y′ = (S−1AS)y$ where $x = Sy$ To determine S, we need the eigenvalues and eigenvectors of A. The characteristic polynomial of A is $p(\lambda)=\begin{bmatrix} -7-\lambda & -4\\ 18 & 11-\lambda \end{bmatrix}=(\lambda-5)(\lambda+1)$ Hence, A is nondefective by Corollary 7.2.10. The eigenvectors are easily computed: $\lambda_1=5: v=r(1,-3) \\ \lambda_2=-1: v=s(2,-3)\\$ Set $S = \begin{bmatrix}1 &2\\ -3 & -3 \end{bmatrix}$ then from Theorem 7.3.4, $S−1AS = diag(5,-1)$ so that the system becomes: $A^3=SD^3S^{-1}=S\begin{bmatrix} 125 & 0\\ 0 & -1 \end{bmatrix}S^{-1}=S\begin{bmatrix} -127 & -84\\ 378 & 251 \end{bmatrix}$ $A^5=SD^5S^{-1}=S\begin{bmatrix} 3125 & 0\\ 0 & -1 \end{bmatrix}S^{-1}=S\begin{bmatrix} -3127 & -2084\\ 9378 & 6251 \end{bmatrix}$
Update this answer!

You can help us out by revising, improving and updating this answer.

Update this answer

After you claim an answer you’ll have 24 hours to send in a draft. An editor will review the submission and either publish your submission or provide feedback.