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"Probability" for a partitioned matrix to be singular

Let $A,B\in\mathbb{R}^{n\times n}$ be two nonsingular matrices with $A\ne B$, and consider the following partitioned matrix $$ M:=\begin{bmatrix}AA^\top + BB^\top & A^\top \Delta_1 A + B^\top \...
Ludwig's user avatar
  • 2,712
2 votes
0 answers
1k views

Estimates on norm Hessian Matrix

Let $u:\Omega \rightarrow \mathbb{R}$ a twice differential function, with $\Omega$ a subset of $\mathbb{R}^n$. Suppose that we have the following: $$D^2u\geq - \dfrac{(1+K^2)^{1/2}}{\epsilon}I$$ ...
Jason's user avatar
  • 59
8 votes
3 answers
663 views

Representation theorem for matrices (reference request)

Motivation. If $A \in \mathbb{C}^{n \times n}$ is self-adjoint (or, more generally, normal), then we all know that $$ A = \sum_{k=1}^n \lambda_k \, h_k \otimes h_k, $$ where $\lambda_1,\dots,\lambda_n$...
Jochen Glueck's user avatar
2 votes
0 answers
75 views

Case of equality in entrywise spectral radius bound

Let $A,B$ denote square matrices such that $\lvert A_{ij}\rvert\le B_{ij}$ for all $i,j$, and denote the spectral radius by $\rho$. From the Gelfand spectral radius formula it is easy to see that $$\...
Julian's user avatar
  • 623
1 vote
1 answer
61 views

Effect of column normalization on maximum diagonal entry

Let $\mathbf{A}$ be a $M\times N$ complex matrix, and $\bar{\mathbf{A}}$ be constituted by normalizing each column of $\mathbf{A}$. Therefore, we have $$\mathbf{A}=\bar{\mathbf{A}}\mathbf{\Gamma},$$ ...
Math_Y's user avatar
  • 287
0 votes
1 answer
91 views

Choosing the best submatrix

Let $\mathbf{A}_{m\times n}$ be a matrix with non-negative elements. Assume that a submatrix $\mathbf{B}$ from $\mathbf{A}$ is defined as \begin{align} B_{i,j} = \begin{cases} A_{i,j}, & i\in\...
Math_Y's user avatar
  • 287
0 votes
0 answers
96 views

Eigenvalues of the matrix obtained by letting some of the rows vanish, hoping for some inequality

Let $A$ be an $n \times n$ matrix. Let $A_k$ be the matrix obtained by keeping the first $k$ rows of $A$ fixed and substituting $0$ for the rows $k+1$ to $n$. To be precise, we write $A= [R_1...R_k, ...
Learning math's user avatar
10 votes
1 answer
630 views

Minimum distance of a symmetric matrix to diagonal matrices

Let $A=(a_{ij})$ be an arbitrary $n \times n$ real symmetric matrix and $n\geq 2$. Let $\| \cdot \|$ denote the operator $2$-norm or equivalently the maximum absolute value of eigenvalues for ...
Mostafa - Free Palestine's user avatar
0 votes
0 answers
400 views

Comparison of two similarity matrices

English is not my first language, so please excuse any mistakes. I'm working with two similarity matrices on the same data set: Suppose I have $n$ items, and I calculated the similarity of each item ...
Catasaur's user avatar
8 votes
1 answer
1k views

Operator norm of square root of matrix vs original

If I have a nonsymmetric matrix whose operator norm is $\leq 1$ and square root it, does its operator norm remain below $1$? More formally, I want to know whether there is always at least one square ...
user149538's user avatar
1 vote
0 answers
132 views

Transformations preserving the number of distinct eigenvalues

Let $A\in\mathbb{R}^{n\times n}$ be an $n\times n$ symmetric, invertible matrix with nonnegative real entries, $\mathbf{1}$ be the all one $n$-dimensional vector, and $\mathrm{diag}(v)$, $v=[v_1,v_2,\...
Ludwig's user avatar
  • 2,712
2 votes
1 answer
498 views

Does the Perron vector maximize $x^TAx$ in the simplex?

Let $\mathbf{A}$ be any $n\times n$ symmetric positive matrix ($A_{ij}>0$). It is easy to show that the solution to the following optimization problem \begin{align} \max_{\mathbf{x}}~~\mathbf{x^...
dineshdileep's user avatar
  • 1,421
0 votes
1 answer
129 views

Hadamard $\ell_2$ sum of two symmetric positive semidefinite matrices

This is a follow-up question to this and this. Let $A=(a_{ij})$ and $B=(b_{ij})$ be symmetric positive semidefinite $n\times n$ matrices such that all $a_{ij}\geq 0$, $b_{ij}\geq 0$ and $a_{ii}=b_{ii}...
D_809's user avatar
  • 175
2 votes
0 answers
92 views

Hadamard $\ell_p$ sum of two symmetric positive semidefinite matrices: follow-up

I asked the following question here: "Does there exist $p>1$ such that for all $n\geq 2$, if $(a_{ij})$ and $(b_{ij})$ are symmetric positive semidefinite $n\times n$ matrices and $a_{ij}, b_{ij}\...
D_809's user avatar
  • 175
3 votes
1 answer
381 views

Hadamard $\ell_p$ sum of two symmetric positive semidefinite matrices

Does there exist $p>1$ such that for all $n\geq 2$, if $(a_{ij})$ and $(b_{ij})$ are symmetric positive semidefinite $n\times n$ matrices and $a_{ij}, b_{ij}\geq 0$ then $\bigl(\|(a_{ij},b_{ij})\|...
D_809's user avatar
  • 175
5 votes
1 answer
404 views

Best orthogonal approximation of rank 1 matrix

Let $X=\lambda_0u_0v_0^T\in\mathbb{R}^{n\times n}$ be a rank 1 matrix where $\lambda_0\in\mathbb{R}$, $u_0,v_0$ are of unit Euclidean norm. What is the solution of the following problem? $$\hat{X}=\...
neverevernever's user avatar
4 votes
1 answer
413 views

Lipschitz property of matrix function only depending on singular values

Let $f$ be a function from $\mathbb{R}^{n\times n}$ to $\mathbb{R}$ such that there exists another symmetric function $g$ (invariant under permutation of coordinates) from $\mathbb{R}^{n}$ to $\mathbb{...
neverevernever's user avatar
3 votes
1 answer
172 views

Representation of $4\times4$ matrices in the form of $\sum B_i\otimes C_i$

Every matrix $A\in M_4(\mathbb{R})$ can be represented in the form of $$A=\sum_{i=1}^{n(A)} B_i\otimes C_i$$ for $B_i,C_i\in M_2(\mathbb{R})$. What is the least uniform upper bound $M$ for such $n(A)$...
Ali Taghavi's user avatar
1 vote
1 answer
146 views

Solve a linear matrix ODE involving symmetric blocks

Let $P \in \mathbb R^{n \times n}$ be a symmetric positive definite matrix with eigenvalues denoted by $\lambda_i$ and corresponding eigenvectors denoted by $v_i$. For each $j \in \{1, 2, 3, 4\}$, let ...
Justin Le's user avatar
  • 113
3 votes
1 answer
2k views

Relation between Frobenius norm, infinity norm and sum of maxima

Let $A$ be a sequence of $n \times n$ matrices so that the Frobenius norm squared satisfies $\|A\|_F^2 \simeq n$ and the infinity norm squared is $\|A\|_{\infty}^2 = 1$. Is the following true? $$\...
horxio's user avatar
  • 105
12 votes
0 answers
508 views

More mysterious properties of Gram matrix

This is another question related to the mysterious properties of the Gram matrix in dimension $4$. Here's the previous question. The following fact could be extracted from 0402087: For any $a_i\...
Daniil Rudenko's user avatar
5 votes
1 answer
2k views

Inverse of a matrix and the inverse of its diagonals

While researching a question, I faced with the following problem: I have to prove that for a positive definite matrix we have $${\mathbf n}^T {\mathbf R}^{-1}{\mathbf n}\geq {\mathbf n}^T {\mathbf D}...
Mamal's user avatar
  • 273
16 votes
0 answers
488 views

An inequality for matrix norms

Working on a problem in combinatorics I come up with the following inequality on matrix norms, which I checked it also numerically: Let $A=(a_{ij})$ be a real symmetric $n\times n$ matrix with ...
Mostafa - Free Palestine's user avatar
3 votes
1 answer
196 views

Can we classify the general linear maps such that for a fixed matrix $A \in M_n(\mathbb R)$ the conjuagation action fixes the first column?

Let $A \in GL_n(\mathbb R)$ be fixed. Let us consider the conjugation action by $G \in GL_n(\mathbb R)$, i.e., $G^{-1}AG$. I would like to see a way to identify the matrices such that the action fixes ...
user1101010's user avatar
1 vote
2 answers
1k views

A "positive diagonal plus skew-symmetric" matrix decomposition

Let $A\in\mathbb{R}^{n\times n}$ be a diagonalizable matrix with real and strictly positive eigenvalues (note that $A$ is not required to be symmetric). My question. Do there exist an orthogonal ...
Ludwig's user avatar
  • 2,712
3 votes
0 answers
244 views

An inequality concerning the solution of a Lyapunov equation

Let $A$ be an Hurwitz stable matrix (i.e. the real part of the eigenvalues of $A$ lie in the left-half plane) and $Q$ be a positive semidefinite matrix ($Q\ge 0$, for short). Let $P>0$ be the ...
Ludwig's user avatar
  • 2,712
4 votes
1 answer
206 views

How to find the analytical representation of eigenvalues of the matrix $G$?

I have the following matrix arising when I tried to discretize the Green function, now to show the convergence of my algorithm I need to find the eigenvalues of the matrix $G$ and show it has absolute ...
Sherry's user avatar
  • 153
1 vote
1 answer
103 views

On ranks of matrices with tensor structure

Fix two $2^t$ length vector of form $p=\begin{bmatrix}u_1&v_1\end{bmatrix}\otimes\dots\otimes\begin{bmatrix}u_t&v_t\end{bmatrix}$ and $r=\begin{bmatrix}w_1&z_1\end{bmatrix}\otimes\dots\...
Turbo's user avatar
  • 13.9k
3 votes
0 answers
630 views

Diagonal elements of Hermitian matrices with given eigenvalues

Given real vectors $d = (d_1, \ldots, d_n)$ and $\lambda = (\lambda_1, \ldots, \lambda_n)$, where I will assume that their coefficients are arranged in non-increasing order, the Schur-Horn theorem ...
Dario's user avatar
  • 31
4 votes
0 answers
284 views

Maximizing a certain eigenvalue ratio

Let $A\in\mathbb{R}^{n\times n}$ be an Hurwitz stable matrix (i.e., the spectrum of $A$ lies on the left-half complex plane) and let $P$ be the unique positive definite solution of the following ...
Ludwig's user avatar
  • 2,712
1 vote
1 answer
2k views

SVD of two matrices A and B having the same right singular vectors?

I saw this statement in a lecture note Assume the generalized SVD of matrices $A\in R^{m\times n}$ and $B\in R^{p\times n}$ given as: $$U^TAX = diag(\alpha_1, ..., \alpha_n),~ U^TU = I_m$$ $$V^TBX = ...
Shindou's user avatar
  • 113
10 votes
2 answers
5k views

Nuclear norm as minimum of Frobenius norm product

Nuclear, or trace, or Ky Fan, norm of a matrix is defined as the sum of the singular values of the matrix. It is claimed that $$ \|X\|_\sigma = \min_{UV^T=X} \|U\|\|V\| = \min_{UV^T=X} \frac{1}{2}(\|...
Hans's user avatar
  • 2,239
11 votes
2 answers
2k views

Inverse of a small submatrix

Let $A$ be a large matrix (say, $1000 \times 1000$), and let $\mathcal I = \{2,3,5\}$ be a set of row/column indices. Let $(A^{-1})_{\cal I \times I}$ denote the submatrix of $A^{-1}$ that consists of ...
John Smith's user avatar
2 votes
1 answer
236 views

An inequality regarding projection

Let $a, b \in \mathbb{R}^k$ be two normalized vectors such that $a^T b << 1$. Define matrix $C$ such that $[a, b, C]$ is full column rank, and let matrix $D$ be positive definite. Define ...
Jeff's user avatar
  • 482
14 votes
5 answers
5k views

Matrix trace & norm [closed]

For any nonnegative semidefinite matrix $A$ and any matrix $B$, we have $$\mbox{tr} (AB) \le \mbox{tr} (A) \, \|B\|$$ where $\mbox{tr}(\cdot)$ is the trace and $\|\cdot\|$ is the operator norm. How ...
Ivanov's user avatar
  • 157
0 votes
0 answers
224 views

Upper bound on matrix perturbation such that all eigenvalues lie within the unit circle

Consider the matrix $$N=\left[\matrix{\mathbb{I}_n-\epsilon L & X\\ \epsilon Y & Z}\right]$$ where $\epsilon>0$ is a small positive parameter and $Z$ is a square $m\times m$ matrix with ...
CTNT's user avatar
  • 101
49 votes
3 answers
4k views

Is this proof of Perron's theorem correct, and if so is it original?

A few years ago, I came up with this proof of Perron's theorem for a class presentation: https://pi.math.cornell.edu/~web6720/Perron-Frobenius_Hannah%20Cairns.pdf I've written an outline of it below ...
Hannah Cairns's user avatar
4 votes
1 answer
289 views

A property of positive matrices

Let $\mathbb{S}^{dn} \ni X \succeq 0$ with $d,n \in \mathbb{N}$, where $X \succeq 0$ indicates that $X$ is positive semidefinite. Now partition $X$ into the block form \begin{gather} \begin{pmatrix} ...
Johannes's user avatar
1 vote
0 answers
172 views

A vanishing sum of symmetric matrices

Let $\{G_i\}_{i=1}^N\in\mathbb{R}^{n\times m}$ be a set of full column rank matrices (i.e., $\mathrm{rank}(G_i)=m$ for all $i$) and $\{P_i\}_{i=1}^N\in\mathbb{R}^{m\times m}$ be a set of positive ...
Ludwig's user avatar
  • 2,712
2 votes
0 answers
87 views

Conditions for $B$ that make $ADB + (ADB)^T$ positive (semi-)definite

I am trying to find conditions under which this dynamical system converges. At the end of the day, we have something like $$ 0 \leq x^TD_0W_0D_1W_1D_2 \dots W_ND_NCx $$ With $D_i$ matrices that are ...
Robert's user avatar
  • 121
-1 votes
1 answer
195 views

Determinant of $Z^TZ$ [closed]

If one is looking at the characteristic polynomial of the $m \times m$ dimensional matrix $Z^TZ$ then apparently the coefficient of $(-1)^{m-k}$ in it can be written as, $\sum_{U \subset [m], V \...
gradstudent's user avatar
  • 2,246
9 votes
1 answer
804 views

A singular value-eigenvalue inequality

Singular value or eigenvalue problems lie at the center of matrix analysis. One classical result is $$\lambda_{j}(X^{*}X+Y^{*}Y)\geq 2\sigma_j(XY^*)$$ for $j \in \{1, \ldots, n\}$, where $\lambda_j(\...
M. Lin's user avatar
  • 1,748
10 votes
1 answer
615 views

A curious determinantal inequality I

Let $A, B$ be Hermitian matrices. Does the following hold? $$\det(A^{2}+B^{2}+|AB+BA|)\leq \det(A^{2}+B^{2}+|AB|+|BA|)$$ As usual, $|X|=(X^*X)^{1/2}$. Clearly, quantities on both sides are no less ...
M. Lin's user avatar
  • 1,748
6 votes
2 answers
1k views

Nontrivial lower bound on the sum of matrix norms

Let $X, V\in\mathbb{R}^{n\times r}$ such that $X^\top V$ is symmetric. The central quantity I care about is \begin{equation} \|XV^\top\|_{F}^2+\|X^\top V\|_{F}^2 +[\text{Tr}(X^\top V)]^2. \end{...
Wuchen's user avatar
  • 515
11 votes
2 answers
777 views

Trace of non-commutable matrices

Let $M_1$ and $M_2$ be two symmetric $d\times d$ matrices. What is the relationship between $tr(M_1M_2M_1M_2)$ and $tr(M_1^2 M_2^2 )$? P.S. I tried a few examples and found $$ tr(M_1M_2M_1M_2) \le tr(...
Nikolayevich's user avatar
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
11 votes
0 answers
313 views

Jaffard's theorem - finite matrices

For infinite matrices, Jaffard's theorem states that if $(A(k,l))_{k,l\in \mathbb{Z}}$ is invertible and satisfies $$ A(k,l) \leq C (1+\left|k-l\right|)^{-r}, $$ for some $C>0$, then $$ A^{-1}(k,...
Ozzy's user avatar
  • 393
6 votes
1 answer
777 views

Is every real matrix conjugate to a semi antisymmetric matrix?

Is it true to say that every matrix $A\in M_n(\mathbb{R})$ is similar (conjugate) to a matrix $B=(b_{ij})$ with $b_{ij}=-b_{ji}$ for all $i\neq j$?(With some abuse of terminology,a matrix $B$ with ...
Ali Taghavi's user avatar
1 vote
2 answers
486 views

Closed form for integral of function of a symmetric positive definite matrix

Let $M$ be a real symmetric positive definite matrix of size $n \times n$, and let $\log M$ denote its (principal) matrix logarithm. Is it possible to evaluate the following integral in closed form? ...
Abhishek Halder's user avatar