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Value restrictions on off-diagonal elements of positive definite matrices

score 291 · Answer 1 · 2026-04-12 16:56:27

291

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Value restrictions on off-diagonal elements of positive definite matrices

Published on 12 Apr 2026 - 16:56

score 4.1k · Answer 2 · 2026-05-10 15:59:33

4.1k

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Matlab Code-Include Iteration to QR Algorithm Gram-Schmidt - The Iterations of A will converge to Eigenvalues

Published on 10 May 2026 - 15:59

score 3.6k · Answer 3 · 2026-05-10 16:11:12

3.6k

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Confused between Single Value Decomposition(SVD) and Diagonalization of matrix

Published on 10 May 2026 - 16:11

score 2.5k · Answer 4 · 2026-04-14 17:30:45

2.5k

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Decomposing Square Matrix Into Two Matrices Which Are Transposes of Each Other

Published on 14 Apr 2026 - 17:30

score 125 · Answer 5 · 2026-05-10 17:39:06

125

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Uniqueness (up to isometries) of a $L^TL$ factorization of a PSD matrix.

Published on 10 May 2026 - 17:39

score 270 · Answer 6 · 2026-04-12 22:51:22

270

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Why can the Cholesky decomposition be used to invert non-Hermitian matrices?

Published on 12 Apr 2026 - 22:51

score 72 · Answer 7 · 2026-03-25 15:26:52

72

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Matrix Factorization for $ADA^T$ for varying $D$

Published on 25 Mar 2026 - 15:26

score 377 · Answer 8 · 2026-04-11 05:25:33

377

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Is there a closed-form way to make a matrix hollow?

Published on 11 Apr 2026 - 5:25

score 699 · Answer 9 · 2026-04-13 03:07:57

699

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Every invertible matrix can be written as a finite composition of elementary matrices with real eigenvalues?

Published on 13 Apr 2026 - 3:07

score 6.1k · Answer 10 · 2026-05-10 17:17:55

6.1k

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what is ranks do in Singular value decomposition, if rank = k, others than k first singular values set to 0 or gone?

Published on 10 May 2026 - 17:17

score 99 · Answer 11 · 2026-04-09 12:02:00

99

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can a function of a diagonalizable matrix be non-diagonalizable?

Published on 09 Apr 2026 - 12:02

score 1.8k · Answer 12 · 2026-05-10 17:13:54

1.8k

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Is basis vectors orthonormality mandatory for SVD?

Published on 10 May 2026 - 17:13

score 606 · Answer 13 · 2026-04-11 18:07:18

606

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Redundant Vectors in Singular Value Decomposition

Published on 11 Apr 2026 - 18:07

score 47 · Answer 14 · 2026-04-16 04:46:48

47

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For a real square matrix $S$, what can be said about $Tr(S^2)$?

Published on 16 Apr 2026 - 4:46

score 989 · Answer 15 · 2026-04-14 11:04:21

989

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Iwasawa Decomposition $SL_n(\Bbb{R})$ Proof

Published on 14 Apr 2026 - 11:04

List Question

Value restrictions on off-diagonal elements of positive definite matrices

Matlab Code-Include Iteration to QR Algorithm Gram-Schmidt - The Iterations of A will converge to Eigenvalues

Confused between Single Value Decomposition(SVD) and Diagonalization of matrix

Decomposing Square Matrix Into Two Matrices Which Are Transposes of Each Other

Uniqueness (up to isometries) of a $L^TL$ factorization of a PSD matrix.

Why can the Cholesky decomposition be used to invert non-Hermitian matrices?

Matrix Factorization for $ADA^T$ for varying $D$

Is there a closed-form way to make a matrix hollow?

Every invertible matrix can be written as a finite composition of elementary matrices with real eigenvalues?

what is ranks do in Singular value decomposition, if rank = k, others than k first singular values set to 0 or gone?

can a function of a diagonalizable matrix be non-diagonalizable?

Is basis vectors orthonormality mandatory for SVD?

Redundant Vectors in Singular Value Decomposition

For a real square matrix $S$, what can be said about $Tr(S^2)$?

Iwasawa Decomposition $SL_n(\Bbb{R})$ Proof

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