Part I 0. Let a = 2 | and b . The projection of b onto the 2 4 subspace spanned by a is p = The error vector is e = b – p = The dot product of a and e is The matrix that projects vectors onto the subspace spanned by a is P = Part II 1 1 Let A = 2 3 The matrix that projects vectors onto the column 2 2 space of A is P =

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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Part I
1
Let a =
2
and b
5
The projection of b onto the
4
subspace spanned by a is p =
The error vector is e = 6 – p =
-
The dot product of a and e is
The matrix that projects vectors onto the subspace spanned by a is
P =
Part II
1 1
Let A
2 3
The matrix that projects vectors onto the column
2 2
space of A is P =
Transcribed Image Text:Part I 1 Let a = 2 and b 5 The projection of b onto the 4 subspace spanned by a is p = The error vector is e = 6 – p = - The dot product of a and e is The matrix that projects vectors onto the subspace spanned by a is P = Part II 1 1 Let A 2 3 The matrix that projects vectors onto the column 2 2 space of A is P =
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