Differential Equations and Linear Algebra (4th Edition)

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

Chapter 6 - Linear Transformations - 6.6 Chapter Review - Additional Problems - Page 430: 21

Answer

See below

Work Step by Step

Obtain $T(0,1,0)=\begin{bmatrix} 0 & 1\\ 0 & -3 \end{bmatrix}\\ T(0,0,1)=\begin{bmatrix} 0 & 3\\ -1 & 0 \end{bmatrix} \\T(1,0,0)=\begin{bmatrix} 0 & -1\\ 5 & 0 \end{bmatrix}$ then we have: $T(0,1,0)=\begin{bmatrix} 0 & 1\\ 0 & -3 \end{bmatrix}=0.E_{21}-3.E_{22}+0.E_{11}+1.E_{12}\\ T(0,0,1)=\begin{bmatrix} 0 & 3\\ -1 & 0 \end{bmatrix}=-1.E_{21}+0.E_{22}+0.E_{11}+3.E_{12} \\T(1,0,0)=\begin{bmatrix} 0 & -1\\ 5 & 0 \end{bmatrix}=5.E_{21}+0.E_{22}+0.E_{11}-1.E_{12}$ as $[T(1)]_C=\begin{bmatrix} 1\\ 1 \end{bmatrix}\\ [T(0,1,0)]_C=\begin{bmatrix} 0 \\ -3 \\ 0 \\ 1 \end{bmatrix} \\ [T(0,0,1)]_C=\begin{bmatrix} -1 \\0 \\ 0 \\ 3 \end{bmatrix} \\ [T(1,0,0)]_C=\begin{bmatrix} 5 \\ 0 \\ 0 \\ -1 \end{bmatrix}$ Hence, $[T]_B^C=\begin{bmatrix} 0 & -1 & 5 \\ 3 & 0 & 0 \\ 0 & 0 & 0 \\ 1 & 3 & -1\end{bmatrix}$ We can notice that $[v]_B=\begin{bmatrix} 1 & -2 & -2\end{bmatrix}$ From Theorem 6.4.5, $$[T(v)]_C=[T]^C_B[v]_B\\ \rightarrow [T(v)]_C=\begin{bmatrix} 0 & -1 & 5 \\ 3 & 0 & 0 \\ 0 & 0 & 0 \\ 1 & 3 & -1\end{bmatrix}\begin{bmatrix} 1 & -2 & -2\end{bmatrix}=\begin{bmatrix} -8 & -3 & 0 & -3\end{bmatrix}\\ \rightarrow T(v)=\begin{bmatrix} 0 & -3\\8 & -3\end{bmatrix}$$
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