1. For each matrix A, find the singular value decomposition in the matrix form A = UEVT. -3 11 37 1 8 4 a) 9 7 10 8 d) -13 1 5 -6 10 b) 2 6 e) 3 17 6 22-2 -4

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
Section: Chapter Questions
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1. For each matrix A, find the singular value decomposition in the matrix form A = UEVT.
-3 11
[37 1
[1 3]
9 7 10 8
d)
-13 1
10 -2
b)
c)
e)
3 1 7
5
-6
6 2 2 -2
-4
6
2. For each matrix A of Problem 1, write down orthonormal base for all four fundamental subspaces.
(This can be read off from your answers to Problem 1.)
Transcribed Image Text:1. For each matrix A, find the singular value decomposition in the matrix form A = UEVT. -3 11 [37 1 [1 3] 9 7 10 8 d) -13 1 10 -2 b) c) e) 3 1 7 5 -6 6 2 2 -2 -4 6 2. For each matrix A of Problem 1, write down orthonormal base for all four fundamental subspaces. (This can be read off from your answers to Problem 1.)
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