List questions from matrix-decomposition

Published on 02 Apr 2026 - 12:48

601

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characterization of a matrix

Published on 15 Apr 2017 - 6:24

966

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Proving every real symmetric matrix is congruent to the canonical form $\mathrm{diag}(\mathbf I,\mathbf{-I},\mathbf0)$

Published on 02 Apr 2026 - 15:06

38

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Matrix representation as product of two matrix

Published on 20 Apr 2017 - 10:45

850

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Calculate Hadamard Product of a Symmetric Matrix on Itself

Published on 22 Apr 2017 - 6:08

58

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Curious matrix, how can I easiest explain it's behaviour?

Published on 22 Apr 2017 - 8:09

166

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Dealing with large kernel matrix in SVM, Matlab

Published on 22 Apr 2017 - 8:32

76

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A matrix simplification involving traces and norms.

Published on 01 Apr 2026 - 14:30

8.7k

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Positive Definite iff the determinant of all upper-left submatrices $> 0$ - Always true?

Published on 22 Apr 2017 - 22:26

389

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Is this proof on the Schur decomposition wrong?

Published on 25 Mar 2026 - 6:37

89

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Solve without matrix inversion.

Published on 02 Apr 2026 - 18:03

673

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Is low-rank factorization another name for low-rank approximation?

Published on 24 Apr 2017 - 20:01

146

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Why can't all diagonalizable matrices be decomposed into $Q\Lambda Q^T$?

Published on 25 Apr 2017 - 10:28

670

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Can I modify the singular values of a matrix in order to get a negative eigenvalue?

Published on 30 Mar 2026 - 17:01

79

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Find this symplectic transforming matrix

Published on 23 Feb 2026 - 17:23

List Question

Generators of $GL_2(\mathbb{Q}_p)$

characterization of a matrix

Proving every real symmetric matrix is congruent to the canonical form $\mathrm{diag}(\mathbf I,\mathbf{-I},\mathbf0)$

Matrix representation as product of two matrix

Calculate Hadamard Product of a Symmetric Matrix on Itself

Curious matrix, how can I easiest explain it's behaviour?

Dealing with large kernel matrix in SVM, Matlab

A matrix simplification involving traces and norms.

Positive Definite iff the determinant of all upper-left submatrices $> 0$ - Always true?

Is this proof on the Schur decomposition wrong?

Solve without matrix inversion.

Is low-rank factorization another name for low-rank approximation?

Why can't all diagonalizable matrices be decomposed into $Q\Lambda Q^T$?

Can I modify the singular values of a matrix in order to get a negative eigenvalue?

Find this symplectic transforming matrix

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