A singular value decomposition of a matrix A is as follows: [0.5 -0.5 0.5 -0.5] [15 0 0.5 -0.5 -0.5 0.5 0 10 -0.6 0.81 A= 0.5 0.5 0.5 0.5 0 0 0.8 0.6 0.5 0.5 -0.5 -0.5 0 0 (a) Find the closest (with respect to the Frobenius norm) matrix of rank 1 to A.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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A singular value decomposition of a matrix A is as follows:
[0.5
-0.5
0.5
-0.5] [15
0
0.5 -0.5
-0.5
0.5
0 10 -0.6 0.81
A =
0.5
0.5
0.5
0.5
0 0
0.8 0.6
L0.5
0.5 -0.5 -0.5
0 0
(a) Find the closest (with respect to the Frobenius norm) matrix of rank 1 to A.
A1
=
Transcribed Image Text:A singular value decomposition of a matrix A is as follows: [0.5 -0.5 0.5 -0.5] [15 0 0.5 -0.5 -0.5 0.5 0 10 -0.6 0.81 A = 0.5 0.5 0.5 0.5 0 0 0.8 0.6 L0.5 0.5 -0.5 -0.5 0 0 (a) Find the closest (with respect to the Frobenius norm) matrix of rank 1 to A. A1 =
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