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3 votes
1 answer
389 views

Galois deformations with Panchiskin condition

Let $L/\mathbf{Q}_p$ be a finite extension and we consider a fixed $L$-linear representation $V$ of the absolute Galois group $G:=\operatorname{Gal}(\overline{\mathbf{Q}}_p/\mathbf{Q}_p)$. Assume that ...
JFB's user avatar
  • 63
10 votes
3 answers
15k views

Derivative of a determinant of a matrix field

Let $A(x_1,...,x_n)$ be an $n\times n$ matrix field over $R^n$. I am interested in the partial derivative determinant of $A$ in respect to $x_i$. In can be shown that: $\frac{\partial{\det(A)}}{\...
R S's user avatar
  • 995
12 votes
0 answers
825 views

Eigenvalues of permutations of a real matrix: how complex can they be?

This is sort of complementary to this thread. I’ll repeat the definitions here: For a matrix $M\in GL(n,\mathbb R)$, consider the $n!$ matrices obtained by permutations of the rows (say) of $M$ and ...
Wolfgang's user avatar
  • 13.4k
22 votes
4 answers
5k views

Eigenvalues of permutations of a real matrix: can they all be real?

For a matrix $M\in GL(n,\mathbb R)$, consider the $n!$ matrices obtained by permutations of the rows (say) of $M$ and define the total spectrum $TS(M)$ as the union of all their spectra (counting ...
Wolfgang's user avatar
  • 13.4k
9 votes
2 answers
2k views

Almost orthogonal vectors in subsets of euclidean space

Given the vector space $\mathbb{R}^n$, endowed with the standard inner (dot) product $\langle\cdot,\cdot\rangle:\mathbb{R}^n\times \mathbb{R}^n\to\mathbb{R}$, the problem of almost-orthogonal sets ...
Favst's user avatar
  • 2,075
20 votes
6 answers
42k views

Eigenvalues of symmetric tridiagonal matrices

Suppose I have the symmetric tridiagonal matrix: $$ \begin{pmatrix} a & b_{1} & 0 & ... & 0 \\\ b_{1} & a & b_{2} & \ddots & \vdots \\\ 0 & b_{2} & a & \...
FlamingWilderbeest's user avatar
1 vote
1 answer
1k views

General Orthogonal Group and its properties

I know that exist a Lie Group Called the Orthogonal Group $O(n)$. That correspond to all matrix of $n \times n$ in the real numbers such that the columns are a orthogonal basis for $\mathbb{R}^n$. Is ...
Joaquín Moraga's user avatar
3 votes
0 answers
258 views

Solve $(A+B)x=y$ given Cholesky decomposition of A and B

I wish to solve for $x$ in $$ (A+B)x=y $$ given square symmetric matrices $A$ and $B$. For certain reasons I have already computed the Cholesky decompositions for A and B: $$ A = L^T L $$ $$ B = M^...
Alex Flint's user avatar
4 votes
1 answer
2k views

Fields whose embeddings into the complex numbers are invariant under complex conjugation

Is there a general notion/description of fields $K$ such that the image of any embedding $K \hookrightarrow \mathbb{C}$ is invariant under complex conjugation, thus inducing an involution on $K$ which ...
MikeV's user avatar
  • 41
3 votes
1 answer
270 views

What is the name of this measure of matrix "degenerateness"

Given a spanning set, consider the minimum number of vectors that you must remove in order to make it no longer span. What is this number called? If the vectors are columns in a matrix $\Phi$, then ...
Dustin G. Mixon's user avatar
0 votes
2 answers
737 views

Eigenvalues of an amplification matrix

Let $A$ and $B$ square real matrices. I know that the matrix $A+B$ has 1 as eigenvalue of multiplicity 1 and the others eigenvalues have their modulus <1. Can we say something about the eigenvalues ...
Nicolas's user avatar
18 votes
2 answers
1k views

Karoubi versus Kasparov K-theory

I have the following, probably very elementary question: Let $Cl^{p,q}$ be the Clifford algebra on generators $e_i$, $i=1, \ldots, p+q$ with $e_i e_j = -e_j e_i$ and $e_{i}^{2}=-1$ for $i=1,\ldots,p$, ...
Johannes Ebert's user avatar
0 votes
1 answer
984 views

Determine the probability that two random vectors over a finite field are orthogonal

Hi all, Suppose that $\mathbf{f}=[f_1, f_2,\ldots,f_m]$ and $\mathbf{g}=[g_1,g_2,\ldots,g_m]$ are two $m$-dimensional vectors. All $f_i$'s are chosen uniformly randomly from a finite field $\mathbb{F}...
leeyee's user avatar
  • 265
1 vote
0 answers
87 views

Possible diagonal values of a product of matrices with some specific characteristics

Hello all, This is a question that might or might not be related to my previous one. Imagine you have two matrices: Matrix $\mathbf{\Phi}=[\Phi_1,\ldots,\Phi_M]\in\mathbb{R}^{L\times M}$ where $M\...
mermeladeK's user avatar
13 votes
1 answer
1k views

When is a matrix similar to a non-negative matrix?

Consider a real square matrix $A$ of size $n\times n$. Under which conditions on $A$ does there exist a row-stochastic matrix $U$ (non-negative, rowsums = 1), such that $A'=U^{-1}AU$ is a non-negative ...
J Reichardt's user avatar
3 votes
1 answer
1k views

How to maximize the determinant of a matrix of the form VDV^H

Hi, I have a matrix of the form $A=VDV^H$, where $V$ is a $M \times 2M$ complex matrix, $D$ is a $2M \times 2M$ diagonal real matrix, thus the dimension of $A$ is $M \times M$. My problem is how ...
user34079's user avatar
3 votes
2 answers
611 views

Can one (block) diagonalize the curvature matrix of 2 forms on a Riemannian manifold?

Let $M$ be a smooth Riemannian manifold, let $R$ be the Riemannian curvature operator, and let $p$ be a point in the manifold. With respect to any orthonormal basis of the tangent bundle at the point $...
Jorge's user avatar
  • 33
1 vote
0 answers
245 views

Converse of the Toeplitz-Hausdorff Theorem for the Joint Numerical Range.

Let $\mathbf{A}_1$ and $\mathbf{A}_2$ be two $N\times N$ hermitian matrices. Their Joint Numerical Range is defined as the 2-D set \begin{align} \mathbb{S}_2=\{[\textbf{u}^H\mathbf{A}_1\mathbf{u},\...
dineshdileep's user avatar
  • 1,421
3 votes
0 answers
107 views

pavings and quadratic forms

Hi, let $L$ be a lattice isomorphic to $\mathbb{Z}^r$ for some positive integer $r$ and $E=L\otimes \mathbb{R}$. An integral paving in $E$ is a set $\Sigma$ of integral polytopes (the vertices are ...
melan's user avatar
  • 31
2 votes
0 answers
884 views

Error bound on matrix vector multiplication

I am multiplying a matrix $A$ with vector $p$. However, the matrix $A$ isn't accurate. Some (a very small fraction) of the element's value is changed from $a_{i,j}$ to {0,$-a_{i,j}$, $2a_{i,j}$}. ...
arbitUser1401's user avatar
6 votes
1 answer
298 views

Invariants of a $GL(3,\mathbb{R})$ action

I'm trying to understand the standard $GL(3,\mathbb{R})$ action on the 15-dimensional space of possible values for the derivative of the Riemann curvature tensor of a 3-dimensional manifold $M$ at a ...
Jeanne Clelland's user avatar
4 votes
0 answers
94 views

Algebraic conditions of separability

Let $X$ be a real vector space (without any norm), and $Y$ be a convex subset of $X$, $0\notin Y$. The goal is to find a hyperplane $L$ passing through 0 such that $Y$ lies in a closed halfspace ...
Fedor Petrov's user avatar
3 votes
0 answers
549 views

Canonical forms for block-positive-definite matrices

Suppose we are given a block $2\times 2$ matrix that is positive-definite, and let's suppose for simplicity that the blocks along the main diagonal are the identity. So $$ \begin{bmatrix} I & X \\\...
Laurent Lessard's user avatar
5 votes
2 answers
1k views

Solve for $A$ and $B$ in $AXB=Y$

Let $R = \mathbb{Z}[x_{1}, \dots, x_{r}]$. Let $X$ be $n \times n$ matrix with entries in $R$. Let $Y$ be $m \times m$ matrix with entries in $R$ formed from $\mathbb{Z}$-linear or $\mathbb{R}$-linear ...
Turbo's user avatar
  • 13.9k
5 votes
0 answers
596 views

Literature on Exponential of a Quadratic Form

Let $A_i$, $i=1,\dots,L$ be given $N\times N$ positive definite real matrices. I have this sum of exponentials \begin{align} f(\mathbf{x})=\sum_{i=1}^{L}\operatorname{exp}(-{\mathbf{x}^T\mathbf{A}_i\...
dineshdileep's user avatar
  • 1,421
7 votes
1 answer
548 views

Does this Linear Algebra Construction have a Name?

Let $\mathcal{R}$ be a ring and let $v^0,\ldots,v^{k-1}\in\mathcal{R}^m$ with $m \geq k$. Suppose we wish to find $w\in Span(v^0,\ldots,v^{k-1})$ such that $k-1$ specified coordinates of $w$ vanish (...
ARupinski's user avatar
  • 5,191
3 votes
1 answer
808 views

A spectral radius inequality

Define $\rho(A)$ to be the spectral radius of a square matrix $A$. Let $S$ and $T$ be two non-negative square matrices and $h$ a real number such that $\rho(S+T) < h$. Show that $\rho((hI-S)^{-1}T) ...
Hans's user avatar
  • 2,251
5 votes
2 answers
1k views

spectral radius monotonicity

I encountered an inequality when reading a paper. Can someone help to show how to prove it? Let be the spectral radius of matrix $A$ or $\rho(A)=\max\{|\lambda|, \lambda \text{ are eigenvalues of ...
Hans's user avatar
  • 2,251
3 votes
1 answer
3k views

Diagonalize the simultaneous matrices and its background [closed]

For two $n \times n$ nonnegative definite Hermitian matrices $A$ and $B$ over the real number field $\mathbb R$: Question1:Is there always a nonsingular matrix $P$ over the same field $F$ which ...
Henry.L's user avatar
  • 8,071
2 votes
1 answer
579 views

Does the Border (Boundary) Points of a convex body make a concave function?

Let $\mathbb{S}$ be a closed and bounded convex body in 2-D with some non-empty intersection with positive quadrant and let it also contain origin. Let $c>0$ be the right-most point on the x-axis ...
dineshdileep's user avatar
  • 1,421
9 votes
1 answer
1k views

M-matrix plus S-matrix is P-matrix?

I am trying to prove that a mapping has a unique fixed-point by showing that its Jacobian is a P-matrix. In this particular case the Jacobian can be decomposed as the sum of two matrices and I would ...
Santiago's user avatar
  • 197
8 votes
0 answers
481 views

Problems where Conjugate gradient works much better than GMRES

I am interested in cases where Conjugate gradient works much better than GMRES method. In general, CG is preferable choice in many cases of SPD because it requires less storage and theoretical bound ...
arbitUser1401's user avatar
0 votes
2 answers
174 views

Matrices whose kernel escapes a sub-vector space

Let $n>n'\gg m$ and $V$ be a subspace of $\mathbb{C}^n$ of dimension $n'$. I am trying to characterize the set $X$ of $m\times n$ matrices $A=(a_{ij})$ satisfying $\ker(A)\not\subseteq V$, that is, ...
Zeyu's user avatar
  • 537
7 votes
2 answers
843 views

Dimension of incomplete matrix over finite fields.

Hi, Suppose one has an incompletely specified $2^n \times 2^n$ matrix over some fixed finite field $\mathbb{F}_{p^k}$. In fact, one knows that the diagonal entries are zero and all other entries are ...
Rob Myers's user avatar
  • 1,291
3 votes
1 answer
273 views

Reduction of antisymmetric complex matrices

Let $E=\mathfrak{so}(n,\mathbb{C})$ be the Lie algebra of antisymmetric complex matrices. We consider the action of the complex orthogonal group $SO(n,\mathbb{C})$ on $E$ by conjugation. Is there a ...
Thomas Richard's user avatar
2 votes
1 answer
616 views

On solution of a class of discrete-time Lyapunov equation

Hello members, let's consider the following equation $$X=F_{1}XF_{1}^{T}+...+F_{p}XF_{p}^{T}+C$$ where $p$ is an positive integer and $C$ is a known positive semidefinite matrix. If we augment $F=[F_{...
eolithr's user avatar
  • 97
13 votes
2 answers
946 views

Computing a large permanent

Is there a practical way to compute the permanent of a large ($91 \times 91$) $(0,1)$ matrix? I have tried to use the matlab function written by Luke Winslow which works great for smaller matrices ...
Felix Goldberg's user avatar
2 votes
1 answer
331 views

On solution of a discrete-time equation

Hello, members. I have a problem for the following problem when I derive an optimization algorithm for stochastic singular systems $$S(k+1)=A(k)S(k)A^{T}(k)+R(k)+F(k)S(k+1)F^{T}(k)$$ where $R(k)>=...
eolithr's user avatar
  • 97
10 votes
2 answers
1k views

Probability of random (0,1) Toeplitz matrix being invertible

A Toeplitz matrix or diagonal-constant matrix is a matrix in which each descending diagonal from left to right is constant. What is the probability that a random $n \times n$ binary Toeplitz ...
user avatar
8 votes
1 answer
2k views

A spectral inequality for positive-definite matrices

Question. Given a positive-definite $n \times n$ matrix $A = (a_{ij})$ with eigenvalues $$ \lambda_1 \leq \cdots \leq \lambda_n , $$ is there a sharp upper bound for the product $\lambda_2 \cdots \...
alvarezpaiva's user avatar
  • 13.5k
4 votes
2 answers
620 views

Is Ryser's conjecture on permanent minimizers still open?

Let $A(k,n)$ be the set of $\{0,1\}$ matrices of order $n$ with all their line sums equal to $k$. Conjecture number 5 on the list from Minc's book, attributed to Ryser, says that if $A(k,n)$ ...
Felix Goldberg's user avatar
2 votes
2 answers
522 views

Existence of a projection operator onto a classical set of density matrices

I have a Hilbert space of quantum density matrices written in the Glauber-Sudarshan P representation - ie. we have coherent states $|\alpha \rangle$ and we write density matrices as $$ \rho = \int d^2\...
Sebastian Meznaric's user avatar
2 votes
1 answer
464 views

Maximal chains in vector space and its dimension

Let $L$ be the vector space without other structures (topology and so on) over some field. We consider the chains (i.e. linearly ordered sets) of vector subspaces in $L$ (such chain is called a flag). ...
Nikita's user avatar
  • 171
1 vote
1 answer
364 views

relationship between numerical and spectral radii for product of positive definite matrices?

The original problem I'm looking at is: given a bound on the operator norm of $\Lambda A \Lambda,$ where $\Lambda, A$ are positive definite matrices and $\Lambda$ is diagonal, what is the tightest ...
AatG's user avatar
  • 922
7 votes
1 answer
318 views

Who first observed that Conjugate Gradient for Symmetric Positive Definite linear systems is a Krylov method?

Conjugate gradient was originally presented in the 50's before the modern understanding of Krylov subspaces (and the resulting iterative methods) was fully realized. As such, the method was derived ...
Kirk S.'s user avatar
  • 325
2 votes
1 answer
398 views

An Interesting variant of Rayleigh Quotient

Let $A$ and $B$ be two given hermitian positive semi-definite matrices, then what is the solution for $$\max_{x\neq 0}\frac{x^HAx}{x^HBx+1}.$$ I am looking for closed form solutions. If the ...
dineshdileep's user avatar
  • 1,421
5 votes
1 answer
1k views

How many distinct eigenvalues does a random graph have?

It is well-known that a random graph a.e. has diameter 2. It is also well-known that the number of distinct eigenvalues of a graph is at least the diameter plus one. But what is known about the ...
Felix Goldberg's user avatar
2 votes
1 answer
137 views

Young transform reference

The Young transform of nonnegative function $f(x)$, $x \in \mathbb R^n_+$ is defined to be $$ (\mathscr Yf)(y) = \inf \left[ \left. \frac{x_1 y_1 + \ldots + x_n y_n}{f(x)} \; \right|\; x \colon f(...
Appliqué's user avatar
  • 1,329
1 vote
1 answer
103 views

On solution of a recursion with rectangular matrices

Greetings to members here. The question is how to calculate the solution $S(k)$ of the following recursive equation $$J(k)S(k+1)J^{T}(k)=A(k)S(k)A^{T}(k)+R(k)$$ where $J$ and $A$ are rectangular not ...
eolithr's user avatar
  • 97
9 votes
1 answer
3k views

Inverse of a totally unimodular matrix

A unimodular matrix $M$ is a square integer matrix having determinant $+1$ or $−1$. A totally unimodular matrix (TU matrix) is a matrix for which every square non-singular submatrix is unimodular. A ...
qianchi 's user avatar

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