| -2.424 , -4.383 , 2.860 ,
0.495 |
| 4.010 , 3.403 ,
3.442 , -3.938 |
- A 7 063 2 022 7 032 3 356 2 424 4 383 2 860 0 495 4 010 3 403 3 442 3 938 1 (34.17 KiB) Viewed 36 times
A=| -7.063 , 2.022 , -7.032 , 3.356 | | -2.424 , -4.383 , 2.860 , 0.495 | | 4.010 , 3.403 , 3.442 , -3.938 |
-
answerhappygod
- Site Admin
- Posts: 899604
- Joined: Mon Aug 02, 2021 8:13 am
A=| -7.063 , 2.022 , -7.032 , 3.356 | | -2.424 , -4.383 , 2.860 , 0.495 | | 4.010 , 3.403 , 3.442 , -3.938 |
A=| -7.063 , 2.022 , -7.032 , 3.356 |
| -2.424 , -4.383 , 2.860 ,
0.495 |
| 4.010 , 3.403 ,
3.442 , -3.938 |
(2 points) What are the eigenvalues of AT A? Include multiplicity. (2 points) Consider the first term in the singular value decomposition in vector form: -0.86) օլնv 0u1V1? = 12.48 12.48 0.31 [0.66 -0.13 0.65 [0.66 -0.13 0.65 -0.34] Explain why this is a reasonable approxi- 0.41 mation to the matrix A. How many more terms like this would you need to add to get A exactly? =
| -2.424 , -4.383 , 2.860 ,
0.495 |
| 4.010 , 3.403 ,
3.442 , -3.938 |
(2 points) What are the eigenvalues of AT A? Include multiplicity. (2 points) Consider the first term in the singular value decomposition in vector form: -0.86) օլնv 0u1V1? = 12.48 12.48 0.31 [0.66 -0.13 0.65 [0.66 -0.13 0.65 -0.34] Explain why this is a reasonable approxi- 0.41 mation to the matrix A. How many more terms like this would you need to add to get A exactly? =
Join a community of subject matter experts. Register for FREE to view solutions, replies, and use search function. Request answer by replying!