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 - 7.4 An Introduction to the Matrix Exponential Function - Problems - Page 465: 1

Answer

$e^{At}=\begin{bmatrix} e^t & e^{3t}-e^t\\ 0 & e^{3t} \end{bmatrix}$

Work Step by Step

1. Find eigenvalues: (A-$\lambda$I)$\vec{V}$=$\vec{0}$ $\begin{bmatrix} 1-\lambda & 2\\ 0 & 3-\lambda \end{bmatrix}\begin{bmatrix} v_1\\ v_2 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \end{bmatrix}$ $\begin{bmatrix} 1-\lambda & 2\\ 0 & 3-\lambda \end{bmatrix}=0$ $(1-\lambda)(3-\lambda)=0$ $\lambda_1=1, \lambda_2=3$ The eigenvalues of $A$ are $\lambda_1 = 1$ and $\lambda_2=3$, and therefore A is nondefective. A straightforward computation yields the following eigenvectors, which correspond respectively to $\lambda_1$ and $\lambda_2$: $v_1=(1,0)\\ v_2=(1,1)$ It follows from Theorem 7.4.3 that if we set $S =\begin{bmatrix} 1 & 1\\ 0& 1 \end{bmatrix}$ and $D = diag(1, 3)$ then $e^{At} = Se^{Dt}S^{−1}$ That is, $e^{At} -S\begin{bmatrix} e^t & 0\\ 0 & e^{3t} \end{bmatrix}S^{−1}$ It is easily shown that $S^{-1}=\begin{bmatrix} 1 & -1\\ 0 & 1 \end{bmatrix}$ Substituting: $e^{At}=\begin{bmatrix} 1 & 1\\ 0 & 1 \end{bmatrix}\begin{bmatrix} e^t & 0\\ 0 & e^{3t} \end{bmatrix}\begin{bmatrix} 1 & -1\\ 0 & 1 \end{bmatrix}=\begin{bmatrix} e^t & e^{3t}\\ 0 & e^{3t} \end{bmatrix}\begin{bmatrix} 1 & -1\\ 0 & 1 \end{bmatrix}=\begin{bmatrix} e^t & e^{3t}-e^t\\ 0 & e^{3t} \end{bmatrix}$
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.