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 - 6.4 Additional Properties of Linear Transformation - True-False Review - Page 416: b

Answer

True

Work Step by Step

Define a linear transformation $T:V\rightarrow M_{32}(R)$ obtain: $T(\begin{bmatrix} a & b & c \\ 0 & d & e \\ 0 & 0 & f \end{bmatrix})=\begin{bmatrix} a & b\\ c & d \\ e & f \end{bmatrix}$ then $Ker(T)=\{A \in V: T(A)=0\}\\ =\{\begin{bmatrix} a & b & c \\ 0 & d & e \\ 0 & 0 & f \end{bmatrix}:T(\begin{bmatrix} a & b & c \\ 0 & d & e \\ 0 & 0 & f \end{bmatrix})=\begin{bmatrix} 0 & 0\\ 0 & 0 \\ 0 & 0 \end{bmatrix}: a,b,c,d,e,f \in R\}\\ =\{\begin{bmatrix} a & b & c \\ 0 & d & e \\ 0 & 0 & f \end{bmatrix}):\begin{bmatrix} a & b\\ c & d \\ e & f \end{bmatrix}=\begin{bmatrix} 0 & 0\\ 0 & 0 \\ 0 & 0 \end{bmatrix}: a,b,c,d,e,f \in R\}\\ \rightarrow a=b=c=d=e=f=0\\ \rightarrow Ker(T)=\{\begin{bmatrix} 0 & 0 & 0\\0 & 0 & 0 \\ 0 & 0 & 0 \end{bmatrix}\}=\{0\}$ Hence, there is one-to-one linear transformation $T$ Find $Rng(T)=\{T(A): A \in V\}\\ =\{\begin{bmatrix} a & b\\ c & d \\e & f \end{bmatrix}: a,b,c,d,e,f \in R\}\\ \rightarrow Rng(T)=M_{32}(R)$ We can say $T$ is onto. Hence, $V \cong M_{32}(R)$
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