2. Using the matrix Q from above we define B = QQ". An SVD for B is T 1 4 2 1 0 0 4 2 3. V5 3/5 3 V5 V5 3 3/5 V5 3 2 B = UEVT 0 1 0 3 1 3 3 1 3 0 0 0 2 3/5 3/5 (a) Explain why B is symmetric. (b) Find a basis for Null{B} (c) Find a matrix for the orthogonal projection of R³ onto Col{B}

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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2. Using the matrix Q from above we define B = QQ". An SVD for B
is
T
1
4
2
1 0 0
4
2
3.
V5
3/5
3
V5
V5
3
3/5
V5
3
2
B = UEVT
0 1 0
3
1
3
3
1
3
0 0 0
2
3/5
3/5
(a) Explain why B is symmetric.
(b) Find a basis for Null{B}
(c) Find a matrix for the orthogonal projection of R³ onto Col{B}
Transcribed Image Text:2. Using the matrix Q from above we define B = QQ". An SVD for B is T 1 4 2 1 0 0 4 2 3. V5 3/5 3 V5 V5 3 3/5 V5 3 2 B = UEVT 0 1 0 3 1 3 3 1 3 0 0 0 2 3/5 3/5 (a) Explain why B is symmetric. (b) Find a basis for Null{B} (c) Find a matrix for the orthogonal projection of R³ onto Col{B}
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