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 - Problems - Page 418: 27

Answer

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Work Step by Step

Define $T:R^3 \rightarrow V$ by $T(a,b,c)=\begin{bmatrix} 0& a\\ -a &0 \end{bmatrix}$ Assume $a,b,\alpha \in R$ Obtain: $T(a+b)=\begin{bmatrix} 0 & a+b\\-(a+b)& 0 \end{bmatrix}\\ =\begin{bmatrix} 0 & a\\ -a &0 \end{bmatrix}+\begin{bmatrix} 0 & b\\ -b & 0 \end{bmatrix}\\ =T(a)+T(b)$ then $T(\alpha a)=\begin{bmatrix} 0 & \alpha a\\ -\alpha a & 0 \end{bmatrix}\\ =\alpha\begin{bmatrix} 0 & a\\ -a &0 \end{bmatrix}\\ =\alpha T(a)$ Hence, $T$ is a linear transformation. Obtain: $Ker(T)=\{x \in R:T (x)=0\}\\ =\{a \in R: T(a)=0\}\\ =\{ a\in R: \begin{bmatrix} 0 & a\\ -a &0 \end{bmatrix}=\begin{bmatrix} 0 & 0\\ 0 &0 \end{bmatrix}\}\\ \rightarrow a=0$ then $Ker(T)=\{\begin{bmatrix} 0 & 0\\ 0 &0 \end{bmatrix}\}=\{0\}$ $T$ is one-to-one (1) Apply Rank Nullity Theorem: $\dim [Ker(T)]+\dim [Rng(T)]=\dim R\\ 0+\dim [Rng(T)]=1\\ \dim [Rng(T)]=1$ $Rng(T) \subset V$ and $\dim R=1=\dim [Rng(T)]$ $T$ is onto (2) From $(1),(2)$, $T$ is an isomorphism.
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