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: 22

Answer

See below

Work Step by Step

Obtain: $Ker(T)=\{A \in M_2(R): T(A)=0\}\\ =\{\begin{bmatrix} a & b\\ c & d \end{bmatrix} \in M_2(R):T( \begin{bmatrix} a & b\\ c & d \end{bmatrix})=0\}$ We have the system: $a-b+d=0\\ 2a+b=0\\ c=0\\ 4a-b+2d=0$ Hence, $\rightarrow b=-2a\\ d=-3a\\ c=0\\ \rightarrow Ker(T)=\{ \begin{bmatrix} a & -2a\\ 0 & -3a \end{bmatrix}: a \in R\}\\ =\{a \begin{bmatrix} 1 & -2\\ 0 & -3 \end{bmatrix}: a\in R\}\\ =span\{ \begin{bmatrix} 1 & -2\\ 0 & -3 \end{bmatrix}\}\\ \rightarrow Ker(T)= \{0\}$ $T$ is not one-to-one. Apply Rank Nullity Theorem: $\dim [Ker(T_2T_1)]+\dim [Rng(T)=\dim R^3\\ 1+\dim [Rng(T)]=4\\ \dim [Rng(T)]=3$ Since, $\dim P_3(R)=4 \ne 3=\dim [Rng(T)]\\ \rightarrow Rng(T) \ne P_3(R)$ $\rightarrow T$ is not onto. Hence, $T^{-1}$ does not exist.
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