Differential Equations and Linear Algebra (4th Edition)

Published by Pearson
ISBN 10: 0-32196-467-5
ISBN 13: 978-0-32196-467-0

Chapter 9 - Systems of Differential Equations - 9.4 Vector Differential Equations: Nondefective Coefficient Matrix - Problems - Page 607: 7

Answer

See below

Work Step by Step

Given: $\begin{bmatrix} -1 & 0 & 0\\ 1 & 5 & -1\\ 1 & 6 & -2 \end{bmatrix}$ A straightforward calculation yields $\det (A-\lambda I)=\begin{vmatrix} -1-\lambda & 0 & 0\\ 1 & 5-\lambda & -1\\ 1 & 6 & -2-\lambda \end{vmatrix}=(\lambda+1)^2(\lambda-4)$ so that A has eigenvalues $\lambda_1=-1\\ \lambda_2=-1\\ \lambda_3=4$ Eigenvalue $λ_1 =-1$: In this case, the system $(A − \lambda I)v = 0$ is $v_1=v_3-6v_2\\ v_2=0\\ v_3=1 \\ \rightarrow v_1=1$ The solution is $v = r(1, 0, 1)$. Therefore, $v_1=e^{-t} \begin{bmatrix} 1\\ 0 \\ 1 \end{bmatrix}$ Eigenvalue $\lambda_2 =-1$: In this case, the system $(A − \lambda I)v = 0$ is $v_1=v_3-6v_2\\ v_2=1\\ v_3=0\\ \rightarrow v_1=-6$ The solution is $v = r(-6, 0, 1)$. Therefore, $v_2=e^{-t} \begin{bmatrix} -6\\ 1\\ 0 \end{bmatrix}$ Eigenvalue $\lambda_3 =4$: In this case, the system $(A − \lambda I)v = 0$ is $v_1=v_3-v_2\\ v_2=v_3=1\\ \rightarrow v_1=0$ The solution is $v = r(0,1,1)$. Therefore, $v_3=e^{4t} \begin{bmatrix} 0 \\ 1\\ 1 \end{bmatrix}$ Hence, the general solution to the given equation is $x(t)=c_1v_1+c_2v_2+c_3v_3=c_1e^{-t}\begin{bmatrix} 1\\ 0\\ 1 \end{bmatrix}+c_2e^{-t}\begin{bmatrix} -6\\ 1\\ 0 \end{bmatrix}+c_3e^{4t}\begin{bmatrix} 0\\ 1\\ 1 \end{bmatrix}=\begin{bmatrix} c_1e^{-t}-6c_2e^{-t}\\ c_2e^{-t}+c_3e^{4t}\\ c_2e^{-t}+c_3e^{4t} \end{bmatrix}$
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.