Question

System of differential equations with a NOT positive definite matrix (SVD?)

score 108 · Answer 1 · 2019-10-11 11:49:20

108

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System of differential equations with a NOT positive definite matrix (SVD?)

Published on 11 Oct 2019 - 11:49

score 523 · Answer 2 · 2019-10-14 17:19:14

523

Views

How to prove that the singular value of product of two orthonormal matrix is related to the principal angles between their columns space?

Published on 14 Oct 2019 - 17:19

score 217 · Answer 3 · 2019-10-16 08:20:02

217

Views

Does Shilov's Linear Algebra cover SVD?

Published on 16 Oct 2019 - 8:20

score 930 · Answer 4 · 2019-10-18 11:30:01

930

Views

Eigenvalues of $UV^T$ in SVD decomposition

Published on 18 Oct 2019 - 11:30

score 118 · Answer 5 · 2019-10-21 07:37:23

118

Views

SVD: why are the results different: hand-calculation and Matlab computation?

Published on 21 Oct 2019 - 7:37

score 1k · Answer 6 · 2019-10-24 07:19:03

1k

Views

SVD of a matrix when its columns are shuffled and when certain columns are removed

Published on 24 Oct 2019 - 7:19

score 47 · Answer 7 · 2026-03-25 09:46:54

47

Views

How to find reflection matrix in PCA?

Published on 25 Mar 2026 - 9:46

score 50 · Answer 8 · 2026-03-23 10:11:05

50

Views

why must $|A\vec v_1|^2$ is the highest value ?if the $\vec v_1$ is the vector which is corresponding to the biggest singular value of A

Published on 23 Mar 2026 - 10:11

score 623 · Answer 9 · 2019-11-02 16:39:44

623

Views

SVD: $\mbox{im}(A)$ and $\ker(A)$ as orthonormal basis

Published on 02 Nov 2019 - 16:39

score 532 · Answer 10 · 2019-11-06 12:05:57

532

Views

Is singular value matrix uniquely determined up to permuting rows and columns.

Published on 06 Nov 2019 - 12:05

score 66 · Answer 11 · 2019-11-06 18:18:06

66

Views

How do you prove $\|A-B\|_F^2 \geq \|\Sigma_A - \Sigma_B\|_F^2$?

Published on 06 Nov 2019 - 18:18

score 38 · Answer 12 · 2019-11-07 15:39:18

38

Views

Finding $3$D Lines passing through $3$D Points, all sharing a single Common Point

Published on 07 Nov 2019 - 15:39

score 373 · Answer 13 · 2019-11-22 05:59:42

373

Views

How to prove: if singular values equal the absolute values of eigenvalues then A is normal

Published on 22 Nov 2019 - 5:59

score 1.1k · Answer 14 · 2026-03-26 06:21:35

1.1k

Views

Prove that the Least Squares solution is Orthogonal to the Kernel of A

Published on 26 Mar 2026 - 6:21

score 25 · Answer 15 · 2019-11-24 22:27:05

25

Views

If $v \in Ker(A)$ does that mean $v \in Ker(\Sigma)$?

Published on 24 Nov 2019 - 22:27

List Question

System of differential equations with a NOT positive definite matrix (SVD?)

How to prove that the singular value of product of two orthonormal matrix is related to the principal angles between their columns space?

Does Shilov's Linear Algebra cover SVD?

Eigenvalues of $UV^T$ in SVD decomposition

SVD: why are the results different: hand-calculation and Matlab computation?

SVD of a matrix when its columns are shuffled and when certain columns are removed

How to find reflection matrix in PCA?

why must $|A\vec v_1|^2$ is the highest value ?if the $\vec v_1$ is the vector which is corresponding to the biggest singular value of A

SVD: $\mbox{im}(A)$ and $\ker(A)$ as orthonormal basis

Is singular value matrix uniquely determined up to permuting rows and columns.

How do you prove $\|A-B\|_F^2 \geq \|\Sigma_A - \Sigma_B\|_F^2$?

Finding $3$D Lines passing through $3$D Points, all sharing a single Common Point

How to prove: if singular values equal the absolute values of eigenvalues then A is normal

Prove that the Least Squares solution is Orthogonal to the Kernel of A

If $v \in Ker(A)$ does that mean $v \in Ker(\Sigma)$?

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