List questions from svd

873

Views

Does there exist a real normal matrix that's not symmetric, antisymmetric, orthogonal, and has distinct singular eigenvalues?

Published on 28 Nov 2019 - 16:14

187

Views

Changing basis of singular vectors in an SVD

Published on 29 Nov 2019 - 11:48

1k

Views

The trace of the product of diagonal matrix and another arbitrary matrix

Published on 30 Nov 2019 - 3:16

204

Views

Singular vectors of random Gaussian matrix with non-isotropic rows

Published on 26 Mar 2026 - 14:42

1.3k

Views

Kronecker product SVD

Published on 25 Mar 2026 - 14:21

3.9k

Views

Singular value decomposition of identity matrix

Published on 08 Dec 2019 - 17:15

1.2k

Views

Singular Values for $A$ and $A^2$

Published on 13 Dec 2019 - 23:05

168

Views

How to compute efficiently and robustly if a given set of vectors is linearly independent?

Published on 25 Mar 2026 - 6:06

349

Views

Statements about the SVD of a matrix.

Published on 18 Dec 2019 - 21:59

1.4k

Views

The smallest non-zero singular value of AB

Published on 19 Dec 2019 - 11:31

365

Views

Rank of product of two orthogonal matrices

Published on 20 Dec 2019 - 9:32

52

Views

how can I calculate the inverse of matrix?

Published on 26 Mar 2026 - 6:21

182

Views

Same SVD for $U M V^{\dagger}$ and $M$ where $U$ and $V$ isometries: why?

Published on 02 Jan 2020 - 23:29

581

Views

SVD of matrix with complex coefficients

Published on 03 Jan 2020 - 10:06

53

Views

Problem in calculation of SVD for a matrix

Published on 04 Jan 2020 - 7:40

List Question

Does there exist a real normal matrix that's not symmetric, antisymmetric, orthogonal, and has distinct singular eigenvalues?

Changing basis of singular vectors in an SVD

The trace of the product of diagonal matrix and another arbitrary matrix

Singular vectors of random Gaussian matrix with non-isotropic rows

Kronecker product SVD

Singular value decomposition of identity matrix

Singular Values for $A$ and $A^2$

How to compute efficiently and robustly if a given set of vectors is linearly independent?

Statements about the SVD of a matrix.

The smallest non-zero singular value of AB

Rank of product of two orthogonal matrices

how can I calculate the inverse of matrix?

Same SVD for $U M V^{\dagger}$ and $M$ where $U$ and $V$ isometries: why?

SVD of matrix with complex coefficients

Problem in calculation of SVD for a matrix

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