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: 7

Answer

See below

Work Step by Step

Let $x=(x,y,z)\in R^3$ We have: $T(x)=ax\rightarrow T(x,y)=\begin{bmatrix} 1 & 3 & 2\\ 2 & 6 & 5 \end{bmatrix}\begin{bmatrix} x\\ y \\ z\end{bmatrix}=(x+3y+2z,2x+6y+5z)$ Obtain: $Ker (T)=\{x \in R^3: T(x)=0\}\\ =\{(x,y,z)\in R^3: T(x,y,z)=(0,0,0)\\ =\{(x,y,z)\in R^3:(x+3y+2z,2x+6y+5z)=(0,0)$ We have the system: $x+3y+2z=0\\ 2x+6y+5z=0\rightarrow x=-3y$ Thus, $Ker (T)=\{(-3y,y,0):z \in R\}\\ =\{y(-3,1,0):y\in R\}\\ =span \{(-3,1,0)\} \rightarrow \dim [Ker (T)]=1$ $Ker(T)$ is the line passing through the origin $(0,0,0)$ with the direction $(-3,1,0)$ Then, $Rng(T)=\{T(x):x \in R^3\}\\ =\{T(x,y,z):x,y,z \in R\}\\ =\{(x+3y+2z,2x+6y+5z):x,y,z \in R\} =\{ x(1,2)+y(3,6)+z(2,5): x,y,z \in R\} =span \{(1,2);(3,6);(2,5)\\\rightarrow Rng(T)=R^2\\ \rightarrow \dim [Rng(T)]=2$ Thus, $Rng(T)$ is the whole 2 dimensional space. Verify a Rank Nullity Theorem: $\dim [Ker (T)]+\dim[Rng(T)]=2+1=3=\dim R^3$
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