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: 19

Answer

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Work Step by Step

Obtain: $Ker(T)=\{A \in V: T(A)=0\}\\ =\{\begin{bmatrix} a & b \\ b & c \end{bmatrix}: T(\begin{bmatrix} a & b \\ b & c \end{bmatrix})=0\}\\ =\{\begin{bmatrix} a & b \\ b & c \end{bmatrix}:ax^2+bx+c=0\\ \rightarrow a=b=c\\ \rightarrow Ker(T)=\{\begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix}\}\\ =\{0\}$ Hence, $T$ is one-to-one. Apply Rank Nullity Theorem: $\dim [Ker(T_2T_1)]+\dim [Rng(T)=\dim P_2(R)\\ 1+\dim [Rng(T)]=3\\ \dim [Rng(T)]=2$ $\dim P_1(R)=2=\dim [Rng(T)]\\ \rightarrow Rng=R^2$ $\rightarrow T$ is onto. Since $T$ is not one-to-one, $T^{-1}$ does not exist.
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