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 461: 37

Answer

See below

Work Step by Step

There exists a matrix $S =\begin{bmatrix} v_1,v_2,v_3 \end{bmatrix}$ such that $S^{-1}AS=\begin{bmatrix} \lambda & 1 & 0\\ 0 & \lambda & 1 \\ 0 & 0 & \lambda \end{bmatrix} \\ \rightarrow A[v_1,v_2,v_3]=[v_1,v_2,v_3] \begin{bmatrix} \lambda & 1 & 0\\ 0 & \lambda & 1 \\ 0 & 0 & \lambda \end{bmatrix} \\ \rightarrow Av_1=\lambda v_1\\ Av_2=v_1+\lambda v_2\\ Av_3=v_2+\lambda v_3 \\ \rightarrow (A- \lambda1)v_1=0\\ (A-\lambda 1) v_2=v_1 \\ (A- \lambda 1)v_3=v_2$
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