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 298: 46

Answer

See below

Work Step by Step

Given $v_1$ and $v_2$ are vectors in a vector space $V$, and $u_1, u_2, u_3$ are each linear combinations of them Obtain: $u_1=a_{11}v_1+a_{12}v_2\\ u_2=a_{21}v_1+a_{22}v_2\\ u_3=a_{31}v_1+a_{32}v_2$ We form a matrix from these equations: $A=\begin{bmatrix} a_{11} & a_{12}\\ a_{21} &a_{22}\\ a_{31} & a_{32} \end{bmatrix}=\begin{bmatrix} a_{11} & a_{12}\\ 0 & a_{21}a_{12}-a_{11}a_{22}\\ 0 & 0 \end{bmatrix}$ Since the last row is equal to $0$, hence $v_3$ can be written as a linear combination of $u_1$ and $u_2$
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