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: 18

Answer

$x_1(t)=-2C_1e^{-t}+C_2e^{5t}\\ x_2(t)=C_1e^{-t}+C_2e^{5t}$

Work Step by Step

The given system can be written as $x′ = Ax$, where $A=\begin{bmatrix} 1 & 4\\ 2 & 3 \end{bmatrix}$ 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 $p(λ) = \begin{bmatrix} 1-\lambda & 4\\ 2 & 3 -\lambda \end{bmatrix}=(1-\lambda)(3-\lambda)-8=(\lambda+1)(\lambda-5)$ Hence, A is nondefective by Corollary 7.2.10. The eigenvectors are easily computed: $\lambda_1=-1: v=r(-2,1)\\ \lambda_2=5: v=s(1,1)$ Set $S = \begin{bmatrix} -2 & 1\\ 1 & 1 \end{bmatrix}$ then from Theorem 7.3.4, $S−1AS = diag(-1, 5)$ so that the system becomes: $\begin{bmatrix} y_1'\\ y_2' \end{bmatrix}=\begin{bmatrix} -1 & 0\\ 0 & 5 \end{bmatrix}\begin{bmatrix} y_1\\ y_2 \end{bmatrix}$ Hence, $y_1'=-1y_1\\ y_2'=5y_2$ Both of these equations can be integrated to obtain $y_1(t)=C_1e^{-t}\\ y_2(t)C_2e^{5t}$ Return to the original variables, we have: $x=Sy=\begin{bmatrix} -2 & 1\\ 1 & 1 \end{bmatrix}\begin{bmatrix} C_1e^{-t}\\ C_2e^{5t} \end{bmatrix} \\ \rightarrow x_1(t)=-2C_1e^{-t}+C_2e^{5t}\\ x_2(t)=C_1e^{-t}+C_2e^{5t}$
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