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 - 6.3 The Kernel and Range of a Linear Transformation - Problems - Page 406: 20

Answer

See below

Work Step by Step

Consider $A=\begin{bmatrix} a & b\\ c & d\\ e & f \end{bmatrix}$ We have $Ker (T)=\{A \in M_{24}(R):T(A)=0\} \\ =\{A \in M_{24}(R):A^T=0\} \\ =\begin{bmatrix} a & b\\ c & d\\ e & f \end{bmatrix}\begin{bmatrix} a & b & c\\ d & e & f \end{bmatrix}=\begin{bmatrix} 0 & 0 & 0\\ 0 & 0 & 0 \end{bmatrix}; a,b,c,d,e,f \in R\} \\ \rightarrow a=b=c=d=e=f=0$ Hence, $Ker (T)=\{0\}\\ dim[Ker(T)]=0$ According to Rank- Nullity Theorem: $dim[Ker(T)]+dim[Rng(T)]=dimM_{24}R\\ 0+dim[Rng(T)]=6\\ dim[Rng(T)]=6$ Since $Rng(T) \subset M_{42}R$ and $dimM_{42}=6=dim[Rng(T)]$, $Rng(T)=M_{42}R$
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