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: 20

Answer

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Work Step by Step

The given system can be written as $x′ = Ax$, where $A=\begin{bmatrix} 6 & -1\\ -5 & 2 \end{bmatrix}$ 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 $p(λ) = \begin{bmatrix} 6-\lambda & -1\\ -5 & 2-\lambda \end{bmatrix}=(6-\lambda)(2-\lambda)-5=(\lambda-1)(\lambda-7)$ Hence, A is nondefective by Corollary 7.2.10. The eigenvectors are easily computed: $\lambda_1=1: v=r(1,5)\\ \lambda_2=7: v=s(1,-1)$ Set $S = \begin{bmatrix} 1 & 1\\ -1 & 5 \end{bmatrix}$ then from Theorem 7.3.4, $S−1AS = diag(7, 1)$ so that the system becomes: $\begin{bmatrix} y_1'\\ y_2' \end{bmatrix}=\begin{bmatrix} 7 & 0\\ 0 & 1 \end{bmatrix}\begin{bmatrix} y_1\\ y_2 \end{bmatrix}$ Hence, $y_1'=7y_1\\ y_2'=y_2$ Both of these equations can be integrated to obtain $y_1(t)=C_1e^{7t}\\ y_2(t)=C_2e^{t}$ Return to the original variables, we have: $x=Sy=\begin{bmatrix} 1 & 1\\ -1 & 5 \end{bmatrix}\begin{bmatrix} C_1e^{7t}\\ C_2e^{t} \end{bmatrix} \\ \rightarrow x_1(t)=C_1e^{7t}+C_2e^{t}\\ x_2(t)-=C_1e^{7t}+C_2e^{t}$
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