Differential Equations and Linear Algebra (4th Edition)

Published by Pearson
ISBN 10: 0-32196-467-5
ISBN 13: 978-0-32196-467-0

Chapter 4 - Vector Spaces - 4.5 Linear Dependence and Linear Independence - Problems - Page 296: 16

Answer

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Work Step by Step

Let: $A_1=\begin{bmatrix} 1 & 1\\ 0 & 1 \end{bmatrix}$ $A_2=\begin{bmatrix} 2 & -1\\ 0 & 1 \end{bmatrix}$ $A_3=\begin{bmatrix} 3 & 6\\ 0 & 4 \end{bmatrix}$ We can see that $5A_1+(-1)A_2=5\begin{bmatrix} 1 & 1\\ 0 & 1 \end{bmatrix}+(-1)\begin{bmatrix} 2 & -1\\ 0 & 1 \end{bmatrix}=\begin{bmatrix} 3 & 6\\ 0 & 4 \end{bmatrix}=A_3$ Hence $\{ A_1,A_2,A_3 \}$ is a linearly dependent set in $M_2(R)$
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