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: 19

Answer

$x_1(t)=C_1e^{4t}-C_2e^{8t}\\ x_2(t)=C_1e^{4t}+C_2e^{8t}$

Work Step by Step

The given system can be written as $x′ = Ax$, where $A=\begin{bmatrix} 6 & -2\\ -2 & 6 \end{bmatrix}$ 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 $p(λ) = \begin{bmatrix} 6-\lambda & -2\\ -2 & 6-\lambda \end{bmatrix}=(6-\lambda)(6-\lambda)-4=(\lambda-4)(\lambda-8)$ Hence, A is nondefective by Corollary 7.2.10. The eigenvectors are easily computed: $\lambda_1=4: v=r(1,1)\\ \lambda_2=8: v=s(-1,1)$ Set $S = \begin{bmatrix} 1 & -1\\ 1 & 1 \end{bmatrix}$ then from Theorem 7.3.4, $S−1AS = diag(4, 8)$ so that the system becomes: $\begin{bmatrix} y_1'\\ y_2' \end{bmatrix}=\begin{bmatrix} 4 & 0\\ 0 & 8 \end{bmatrix}\begin{bmatrix} y_1\\ y_2 \end{bmatrix}$ Hence, $y_1'=-1y_1\\ y_2'=5y_2$ Both of these equations can be integrated to obtain $y_1(t)=C_1e^{4t}\\ y_2(t)C_2e^{8t}$ Return to the original variables, we have: $x=Sy=\begin{bmatrix} 1 & -1\\ 1 & 1 \end{bmatrix}\begin{bmatrix} C_1e^{4t}\\ C_2e^{8t} \end{bmatrix} \\ \rightarrow x_1(t)=C_1e^{4t}-C_2e^{8t}\\ x_2(t)=C_1e^{4t}+C_2e^{8t}$
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