Let A be the matrix consisting of columns equal to the given vectors. A = [w, | w] -1 5 -4 -2 Then the subspace W spanned by the vectors w, and w, is the same as the subspace spanned by the columns of A. By definition, this says that W is the column space of A. Recall that in this case, this means that the orthogonal complement of W is the null space of AT. That is, w- = null(AT). Thus, we must find this null space. First, find AT. 5 -2 AT = 1. Write the augmented matrix and use row operations to reduce. 5 -2 1. -4 1 -4 1.
Let A be the matrix consisting of columns equal to the given vectors. A = [w, | w] -1 5 -4 -2 Then the subspace W spanned by the vectors w, and w, is the same as the subspace spanned by the columns of A. By definition, this says that W is the column space of A. Recall that in this case, this means that the orthogonal complement of W is the null space of AT. That is, w- = null(AT). Thus, we must find this null space. First, find AT. 5 -2 AT = 1. Write the augmented matrix and use row operations to reduce. 5 -2 1. -4 1 -4 1.
Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter5: Inner Product Spaces
Section5.CR: Review Exercises
Problem 59CR
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