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: 51

Answer

See below

Work Step by Step

Let $\{v_1, v_2,..., v_k\}$ be a set of at least two vectors in a vector space $V$. If one of the vectors in the set is a linear combination of the other vectors in the set, then that vector can be deleted from the given set of vectors and the linear span of the resulting set of vectors will be the same as the linear span of $\{v_1, v_2,..., v_k\}$ Let $V=R^3$ Suppose $v_1=(1,0,1)\\ v_2=(1,2,3)\\ v_3=(2,2,4)$ Obtain $a_1v_1+a_2v_2+a_3v_3\\ =(1,0,1)a_1+(1,2,3)a_2+(2,2,4)a_3$ We can see that $v_1+v_2=(1,0,1)+(1,2,3)=(2,2,4)=v_3$ Now obtain $a_1v_1+a_2v_2+a_3(v_1+v_2)\\=a_1(1,0,1)+a_2(1,2,3)+a_3(2,2,4)$ And $(a_1+a_3)v_1+(a_2+a_3)v_2\\ =(a_1+a_3)(1,0,1)+(a_2+a_3)(1,2,3)$ Hence, the linear span $\{(1,0,1),(1,2,3)\}$ of the resulting set of vectors are the same as the linear span of $\{v_1,v_2,...,v_k\}$
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