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 419: 40

Answer

See below

Work Step by Step

Assume $T$ is one-to-one Obtain: $Ker(T)=\{0\} $ then $\dim[Ker(T)]=0$ Apply Rank Nullity Theorem: $\dim [Ker(T)]+\dim [Rng(T)]=\dim V\\ 0+\dim [Rng(T)]=\dim V\\ \dim [Rng(T)]=\dim V$ Since $Rng(T) \subset V$ and $\dim W=\dim [Rng(T)]$ we have $Rng(T)=W$ Hence, $T$ is onto Assume $T$ is onto Since $Rng(T)=W$ we have $\dim [Rng(T)]=\dim W\\ \rightarrow \dim [Rng(T)]=\dim V$ Apply Rank Nullity Theorem: $\dim [Ker(T)]+\dim [Rng(T)]=\dim V\\ \dim [Ker(T)]+\dim V=\dim V\\ \dim [Ker(T)]=0\\ Ker(T)=\{0\}$ Hence, $T$ is one-to-one.
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