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: 22

Answer

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Work Step by Step

The given system can be written as $x′ = Ax$, where $A=\begin{bmatrix} 0 & 1\\ -1 & 0 \end{bmatrix}$ 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 $p(λ) = \begin{bmatrix} -\lambda & 1\\ -1 & -\lambda \end{bmatrix}=(-\lambda)(-\lambda)+1=(\lambda-i)(\lambda+i)$ Hence, A is nondefective by Corollary 7.2.10. The eigenvectors are easily computed: $\lambda_1=i: v=r(1,i)\\ \lambda_2=-i: v=s(1,-i)$ Set $S = \begin{bmatrix} 1 & 1\\ i & -i \end{bmatrix}$ then from Theorem 7.3.4, $S−1AS = diag(i, -i)$ so that the system becomes: $\begin{bmatrix} y_1'\\ y_2' \end{bmatrix}=\begin{bmatrix} i & 0\\ 0 & -i \end{bmatrix}\begin{bmatrix} y_1\\ y_2 \end{bmatrix}$ Hence, $y_1'=iy_1\\ y_2'=-iy_2$ Both of these equations can be integrated to obtain $y_1(t)=C_1e^{it}\\ y_2(t)=C_2e^{-it}$ Return to the original variables, we have: $x=Sy=\begin{bmatrix} 1 & 1\\ i & -i \end{bmatrix}\begin{bmatrix} C_1e^{it}\\ C_2e^{-it} \end{bmatrix} \\ \rightarrow x_1(t)=C_1e^{it}+C_2e^{-it}\\ x_2(t)=iC_1e^{it}-iC_2e^{-it}$
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