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A Handbook of Matrix Factorizations

I am looking for a good collection of facts regarding the various types of matrix factorizations, something like a "Handbook of Matrix Factorizations" or a very-thorough review paper. I am hoping for ...
Fixed Point's user avatar
6 votes
1 answer
257 views

Families of subsets whose characteristic vectors are spanning sets

Let $X$ be a finite set and $\mathbb CX$ be a vector space with basis $X$. If $Y\subseteq X$ is a subset, then by the characteristic vector of $Y$ I mean $\sum_{y\in Y}y$. My question is: ...
Benjamin Steinberg's user avatar
2 votes
1 answer
217 views

Diagonalising a symmetric matrix with polynomial entries

Suppose I have a symmetric $2$ by $2$ matrix $M$ whose $(i,j)$-th entry $F_{i,j}(\mathbf{x})$ belongs to $\mathbb{R}[x_1, \ldots, x_n]$ for each $i,j$. I know that for each $\mathbf{x} \in \mathbb{R}^...
Johnny T.'s user avatar
  • 3,625
0 votes
1 answer
150 views

General results regarding linear separability?

I'm reading up on the theory behind support vector machines and would like a good reference with some general results about linear separability. Specifically, questions like below: Given two ...
Fred Byrd's user avatar
  • 101
0 votes
0 answers
98 views

Eigenvalues of a sequence of matrices involving the divisor function

Let $A_{n,k},k=1,\ldots,n$ be a sequence of $n\times n$ upper triangular matrices where $A_{n,1}=I_n$ and $A_{n,k},\quad 2\leq k\leq n$ be a regularly shifted and scaled matrix, with $P_{n,k}$ an $n\...
kodlu's user avatar
  • 10.4k
11 votes
1 answer
633 views

How do computer algebra packages like Sagemath implement rank of a matrix

I am not sure if this is the right place to ask this question, but I believe there will be people here who do computations on computer algebra packages like Sage in their work. I have been using ...
Nikhil's user avatar
  • 263
5 votes
1 answer
315 views

Rank-constrained least-squares solution of the Sylvester matrix equation

For the Sylvester matrix equation $AX+XB=C$, I want to find the least-squares solution $X$ via $$\begin{array}{ll} \text{minimize} & \| AX + XB - C \|_{\text{F}}^2\\ \text{subject to} & \mbox{...
dave2d's user avatar
  • 191
14 votes
4 answers
3k views

Vandermonde matrix is totally positive

A totally positive matrix $M\in \mathcal{M}_{n\times m}(\mathbb R)$ is such that all of its minors of all sizes are positive. It is true that any Vandermonde matrix (with well-ordered positive entries)...
Loïc Teyssier's user avatar
4 votes
0 answers
245 views

On the sum of the first row of the inverse of a certain symmetric Toeplitz matrix

(i) Consider a Toeplitz matrix $A_n = (a_{i, j})_{1 \le i, j \le n}$ of size $n$ defined as follows: $$ a_{i, j} := |i-j|^{-1/2}, \text{ if } i \ne j; \ \ a_{i, j} := 2, \text{ if }i = j. $$ Let $...
Kazuki OKAMURA's user avatar
0 votes
0 answers
283 views

A symmetric matrix with nonzero principal minors is cogredient to a diagonal matrix via an upper triangular

A paper I'm reading in representation theory states the following result: Let $F$ be a field of characteristic zero, and $x$ a symmetric matrix in $M_n(F)$ all of whose principal minors are not zero. ...
D_S's user avatar
  • 6,180
1 vote
0 answers
422 views

Difference between largest two eigenvalues of a graph Laplacian

The difference between the smallest eigenvalue and the next-smallest of a graph Laplacian (equivalently, the difference between the largest and next-largest of the random walk Markov chain on the ...
Ben Golub's user avatar
  • 1,068
2 votes
0 answers
275 views

Maximum spectral norm of matrices with given anti-Hermitian part and Hermitian part's spectrum

Let $M\in M_n(\mathbb C)$ be a $n\times n$ matrix over the complex field. It can be written uniquely as $M=H+A$, where $H=H^*$ denotes its Hermitian part and $A=-A^*$ its anti-Hermitian part. Its ...
francesco999's user avatar
2 votes
2 answers
446 views

Entrywise modulus matrix and the largest eigenvector

Disclaimer. This is a cross-post from math.SE where I asked a variant of this question two days ago which has been positively received but not has not received any answers. Let $A$ be a complex ...
Julian's user avatar
  • 623
3 votes
0 answers
105 views

Can one do better than using general purpose determinant algorithms when using the Fisher-Kasteleyn-Temperley method for perfect matchings?

Questions. (numerical.generalPfaffian) Is it proved anywhere that in general it is not easier0 to calculate the determinant (over $\mathbb{Q}$) of the skew-symmetric signed adjacency matrix defined ...
Peter Heinig's user avatar
  • 6,051
2 votes
0 answers
102 views

Eigenvalue distribution for a real-valued random matrix with correlated Gaussian entries

I'm working on an application where I would greatly benefit from knowing the distributions of the eigenvalues of a real-valued random matrix whose elements can be assumed to be Gaussian, but where I ...
Ian Cero's user avatar
  • 121
1 vote
0 answers
188 views

Maximum singular value of sum of an Hermitian and an anti-Hermitian matrix

Let $H$ be an $n\times n$ Hermitian matrix and $A$ an $n\times n$ anti-Hermitian matrix, i.e. $H^\dagger = H$, $A^\dagger = -A$. Consider their sum $S= H+A$. Let $\{\sigma_i(S)\}_{i=1,\dots,r}$ denote ...
usr73617381's user avatar
2 votes
0 answers
29 views

Terminology question- Antihermitian elements

Let $V$ be a vector-space over a field $F$, and let $B$ be a non-degenerate bilinear form on $V$. Question: Is there a common term to call an operator $x\in End(V)$ satisfying $$B(xu,v)+B(u,xv)=0\...
kneidell's user avatar
  • 993
7 votes
1 answer
464 views

"Unimodality" of the positive eigenvector of a non-negative irreducible matrix?

Consider an eigenvalue / eigenvector problem for a matrix $A$ that is known to be non-negative and irreducible (so the Perron-Frobenius theorem applies): $$\sum_j A_{ij} x_j = \lambda x_i$$ Here $\...
valle's user avatar
  • 884
7 votes
3 answers
1k views

Determinant of correlation matrix of autoregressive model

I wonder if there is a paper that can point out how to compute the determinant of a $d \times d$ autoregressive correlation matrix of the form $$R = \begin{pmatrix} 1 & r & \cdots & r^{d-...
Nikolayevich's user avatar
3 votes
0 answers
43 views

Sequence of neighboring orthogonal vectors

Let $v_1v_2...v_n$ be a sequence of vectors in $\mathbb{F}_2^{m}$. We say that this sequence is neighboring orthogonal if $\langle v_i, v_{i+1}\rangle = 0$ for each $i\in \{1,...,n\}$, where for each $...
verifying's user avatar
  • 311
4 votes
2 answers
209 views

Geometrical interpretation of pictures transforms and other "high dimensional everyday objects"

During the preparation of a general audience talk on why mathematicians use dimensions higher than three (or four) even for concrete applications, I came up with the following enjoyable observation : ...
Adrien Hardy's user avatar
  • 2,135
5 votes
4 answers
839 views

Norm bounds on spectral variation and eigenvalue variation

Let $A$ and $B$ be two matrices of eigenvalues $\lambda_i$ and $\mu_i$, respectively. The spectral variation of $B$ w.r.t. $A$ and the eigenvalue variation of $B$ and $A$ are, respectively, \begin{...
T. Amdeberhan's user avatar
0 votes
0 answers
290 views

Need any information about an affine lattice

Motivation - I was thinking about calculating the integrals from An interesting integral expression for $\pi^n$? using old plain Riemann sums. There, one needs integrating over that part of $[0,1]^n$ ...
მამუკა ჯიბლაძე's user avatar
1 vote
0 answers
47 views

Partial ordering of a matrix entries [closed]

I need this for experimentation in some work, so it is not without purpose. Consider the in-spiraling and out-spiraling $4\times 4$ matrices $$\begin{pmatrix} 1&2&3&4 \\ 12&13&14&...
T. Amdeberhan's user avatar
7 votes
2 answers
648 views

Laplace-like / cofactor expansion for Pfaffian

Wikipedia presents a recursive definition of the Pfaffian of a skew-symmetric matrix as $$ \operatorname{pf}(A)=\sum_{{j=1}\atop{j\neq i}}^{2n}(-1)^{i+j+1+\theta(i-j)}a_{ij}\operatorname{pf}(A_{\hat{\...
Vít Tuček's user avatar
  • 8,597
1 vote
1 answer
111 views

Decomposition of integral non-generate matrices [closed]

Let $GL_{\eta}(n,\mathbb{Z})=\left\{a\in GL(n,\mathbb{R})\cap M^{n\times n}(\mathbb{Z})|det(a)=\eta\right\}$. Prove that there exists a finite number of matrices $a_i$ in $GL_{\eta}(n,\mathbb{Z})$ ...
Markiff's user avatar
  • 333
8 votes
2 answers
2k views

Bounding the minimum singular value of a block triangular matrix

Question: What is the sharpest known lower bound for the minimum singular value of the block triangular matrix $$M:=\begin{bmatrix} A & B \\ 0 & D \end{bmatrix}$$ in terms of the properties ...
Nick Alger's user avatar
  • 1,160
2 votes
1 answer
325 views

Determinant and inverse of a "stars and stripes" matrix

This is a variant of another MO question. Consider the matrix $$M_n:=\begin{bmatrix}c_1& a & b&a& \ddots & a \\ b & c_2 & a& b&\ddots & b\\ a & b & c_3&...
Wolfgang's user avatar
  • 13.4k
3 votes
1 answer
552 views

Is this result on an unconstrained inverse quadratic programming problem new or known already?

Is this problem and solution actually new, or has someone done this earlier? The details can be found in the preprint: arxiv:1701.01477. Let us consider a direct quadratic programming problem: $$ \...
Evgeniy Abramov's user avatar
7 votes
1 answer
483 views

Generalized Rayleigh-quotient gradient flow on Grassmannian

The following theorem appears without proof in : Helmke, Uwe, and John B. Moore. Optimization and dynamical systems. Springer Science & Business Media, 2012. Let $A$ be a symmetric $n\times n$ ...
mystupid_acct's user avatar
11 votes
3 answers
918 views

yet another determinant and inverse of a matrix

This problem is some variation of another MO question. Consider the matrix $$M_n:=\begin{bmatrix}-c& a & a& \dots & a \\ b & c & a& \ddots & a\\ b & b & -c &...
T. Amdeberhan's user avatar
1 vote
2 answers
285 views

a follow up question on traces of matrices

In a recent MO post, pallab1234 ask for trace inequalities for which counterexample were given. I wish to probe in a different direction. Suppose $A, B$ are $n\times n$ symmetric matrices (with ...
T. Amdeberhan's user avatar
5 votes
1 answer
199 views

Find the inverse of a more general matrix that is similar to the Hilbert matrix

In the last MO question , the following matrix is given: $$M_{ij}=\left[\frac{1+(-1)^{i+j}}{i+j-1}\right]$$ and its inverse has been discussed. Now the problem is further extended to a more general ...
Dings's user avatar
  • 153
4 votes
2 answers
2k views

Advanced reference and roadmap about random matrices theory

There is few posts on MO that asked about reference on this topic, and I found some difficulty during the process of getting myself into the subject so here is the question. I really want to hear ...
10 votes
3 answers
830 views

Find the inverse of a matrix that is very similar to the Hilbert matrix

The standard Hilbert matrix $H$ is given by $$H_{ij}=\frac{1}{i+j-1},$$ and it has an inverse given for example in this MO question. Now I have encountered a matrix $M$ of similar form, namely, $$...
Dings's user avatar
  • 153
17 votes
2 answers
1k views

The GCD-matrix: generalizing a result of Smith?

Let $M$ be the $n\times n$ matrix, known as the GCD matrix, of entries $M_{ij}=\gcd(i,j)$. In the paper H J S Smith, On the value of a certain arithmetical determinant, Proc. London Math. Soc. 7:208-...
T. Amdeberhan's user avatar
3 votes
1 answer
655 views

Upper bounds on the condition number of the eigenvector matrix

Let $A$ be an $n\times n$ real matrix with entries in a fixed interval $[a_\min,a_\max]$, with $a_\min$, $a_\max>0$. Question: Are there any upper bounds on the condition number of the ...
Ludwig's user avatar
  • 2,712
3 votes
0 answers
174 views

Reference for a statement about upper triangular unipotent matrices

I am revising a paper, and a referee of that paper asked if the following little lemma we proved there is known: ``Let $X$ be an $n\times n$ upper triangular unipotent matrix over $\mathbb R$. There ...
WKC's user avatar
  • 646
3 votes
0 answers
119 views

Increasing sequence of closed subspaces of $L^2$ and error estimate of a product of orthogonal projections

We define an increasing sequence of closed subspaces \begin{align*} V_{0} \subset V_{1} \subset V_{\ell} \subset \dots \end{align*} of $L^2(I)$ where $I=(0,x_{max})$, and each $V_{\ell}$ is equipped ...
user144209's user avatar
2 votes
2 answers
3k views

Linear programming with infinitely many constraints

I wish to study the following linear program $$\begin{array}{ll} \text{minimize} & \mathrm c^{\top} \mathrm x\\ \text{subject to} & \mathrm A \mathrm x = \mathrm b\\ & \mathrm x \geq 0\...
user3433489's user avatar
12 votes
2 answers
4k views

How can one construct a sparse null space basis using recursive LU decomposition?

Given an $m$ by $n$ matrix $A$ I'm familiar with the standard method to compute a basis for the null space of $A$ by computing a QR factorization of $A^T$. If $A$ is large and sparse, we can use ...
Alec Jacobson's user avatar
2 votes
0 answers
181 views

Size of Jordan blocks under random perturbations

Let $A \in \mathbb{C}^{n \times n}$ be some (fixed) matrix with eigenvalues $\lambda_{1},\ldots,\lambda_{n}$. Let $E$ be some random, small-normed, perturbation such that $\tilde{A} = A+E$ has ...
Daniel86's user avatar
  • 225
4 votes
1 answer
234 views

A trivialization of an almost complex structure

Recently, I have been studying the Carleman Similiarity Principle, which is used to study the regularity and unique continuation of J-holomorphic curves. Roughly, one takes a solution $ u $ of a ...
Boggie Georgiev's user avatar
1 vote
0 answers
71 views

Name for a Specific Planar Linear Transformation

Is there a name for linear transformations of the plane, that make $4$ points in general convex configuration co-circular, with the biggest circle through those points and, how can they be determined ...
Manfred Weis's user avatar
  • 13.2k
10 votes
1 answer
520 views

Homogeneous polynomials, mixed determinants, positive definiteness

Are there $n\times n$ real matrices $A_{1}, \ldots, A_{n}$ such that the $n$-homogeneous polynomial $$ f(x_{1}, \ldots, x_{n}) = \det(x_{1} A_{1}+\cdots +x_{n} A_{n}) $$ never vanishes on $\...
Paata Ivanishvili's user avatar
1 vote
1 answer
271 views

Jordan blocks of directed graphs

Let $G$ be a (possibly weighted) directed graph with $n$ vertices and let $P$ be its transition matrix. That is, $P = D^{-1}A$ where $A$ is the graph's adjacency matrix and $D$ is a diagonal matrix ...
Daniel86's user avatar
  • 225
8 votes
2 answers
950 views

Best known bounds on (border) ranks of small matrix multiplication tensors?

The $(m,n,p)$-matrix multiplication tensor is a representation of the bilinear map $T\colon\mathbb{R}^{m\times n}\times\mathbb{R}^{n\times p}\rightarrow\mathbb{R}^{m\times p}$ given by $T(A,B)=AB$. ...
Dustin G. Mixon's user avatar
27 votes
7 answers
9k views

Why are two "random" vectors in $\mathbb R^n$ approximately orthogonal for large $n$?

I saw that two random independent vectors are approximately orthogonal in high dimensional space. How can I prove this? And is there an intuitive explanation? Thank you.
YONGSEEN KIM's user avatar
6 votes
1 answer
456 views

How often does a pair of linear maps generate a Zariski-dense subgroup of $GL(d,\mathbb{R})$?

I am an analyst working on a number of problems which in some way relate to random matrix products. In this context I frequently find that the analytic properties I am interested in depend in some way ...
Ian Morris's user avatar
  • 6,206
4 votes
2 answers
890 views

Partitioning an orthogonal matrix into full rank square submatrices

Let $U$ be an $n \times n$ orthogonal matrix. Given an arbitrary partition ${\mathcal P}_c=\{y_1,y_2,\ldots,y_k\}$ of the columns of $U$, does there always exist a corresponding partition ${\mathcal ...
David Shuman's user avatar

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