Let A be a matrix whose singular value decomposition is given by [0.4 -0.4 -0.4 -0.4 0.6 0.4 [100 000 -0.4 -0.4 0.6 -0.4 0 10 00 -0.4 0.6 -0.4 -0.4 0 0 10 0 0 0 0 A = 0.4 0.4 -0.4 0 0.6 -0.4 -0.4 0.4 0.6 0.4 0.4 0.4 0 0 0 0 (a) Find A. (b) Determine rank of A. (c) Find eigenvalues of AT A. 0.5 0.5 0.57 -0.5 -0.5 0.5 0.5 0.5 -0.5 0.5 0.5 0.5 -0.5 -0.5 -0.5 0.5

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter9: Systems Of Equations And Inequalities
Section9.7: The Inverse Of A Matrix
Problem 30E
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2. Let A be a matrix whose singular value decomposition is given by
[0.4
0.4
-0.4 -0.4 -0.4 0.6 [100 0 0 0
-0.4 -0.4 0.6 -0.4 0 10 0 0
A 0.4 -0.4 0.6 -0.4 -0.4 0 0 10 0
-0.4 0 0 0 0
0.4 0 0 0 0
0.4
0.6 -0.4
0.4 0.4
-0.4
0.4
0.6
0.5 0.5 0.5]
-0.5 -0.5 0.5
0.5
0.5
-0.5 -0.5 0.5 0.5
-0.5 0.5 -0.5 0.5
(a) Find A.
(b) Determine rank of A.
(c) Find eigenvalues of AT A.
(d) Find the orthonormal basis for R(A).
(e) Find the orthonormal basis for N(A).
(f) Find the matrix B that is the closest matrix of rank 2 to A. Find the distance between A and
B using the Frobenius norm.
1
Transcribed Image Text:2. Let A be a matrix whose singular value decomposition is given by [0.4 0.4 -0.4 -0.4 -0.4 0.6 [100 0 0 0 -0.4 -0.4 0.6 -0.4 0 10 0 0 A 0.4 -0.4 0.6 -0.4 -0.4 0 0 10 0 -0.4 0 0 0 0 0.4 0 0 0 0 0.4 0.6 -0.4 0.4 0.4 -0.4 0.4 0.6 0.5 0.5 0.5] -0.5 -0.5 0.5 0.5 0.5 -0.5 -0.5 0.5 0.5 -0.5 0.5 -0.5 0.5 (a) Find A. (b) Determine rank of A. (c) Find eigenvalues of AT A. (d) Find the orthonormal basis for R(A). (e) Find the orthonormal basis for N(A). (f) Find the matrix B that is the closest matrix of rank 2 to A. Find the distance between A and B using the Frobenius norm. 1
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