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The idea of decomposing a matrix into a product of structured matrices such as triangular, orthogonal, diagonal matrices is a milestone of numerical computations. In this paper, we describe six new classes of matrix decompositions,…

Algebraic Geometry · Mathematics 2016-09-30 Ke Ye

In this paper, we generalize the notion of the $C$-numerical range of a matrix to operators in arbitrary tracial von Neumann algebras. For each self-adjoint operator $C$, the $C$-numerical range of such an operator is defined; it is a…

Operator Algebras · Mathematics 2019-02-08 Ken Dykema , Paul Skoufranis

We study the numerical range of an $n\times n$ cyclic shift matrix, which can be viewed as the adjacency matrix of a directed cycle with $n$ weighted arcs. In particular, we consider the change in the numerical range if the weights are…

Combinatorics · Mathematics 2023-08-30 Mao-Ting Chien , Steve Kirkland , Chi-Kwong Li , Hiroshi Nakazato

Random matrix theory is a well-developed area of probability theory that has numerous connections with other areas of mathematics and its applications. Much of the literature in this area is concerned with matrices that possess many exact…

Probability · Mathematics 2018-06-22 Ramon van Handel

We investigate certain matrices composed of mixed, second-order moments of unitaries. The unitaries are taken from C*-algebras with moments taken with respect to traces, or, alternatively, from matrix algebras with the usual trace. These…

Operator Algebras · Mathematics 2009-01-15 Ken Dykema , Kate Juschenko

Some preliminary results are reported on the equivalence of any n-queens problem with the roots of a Boolean valued quadratic form via a generic dimensional reduction scheme. It is then proven that the solutions set is encoded in the…

Artificial Intelligence · Computer Science 2019-09-13 T. E. Raptis

In this paper, we compute the spectral norms of the matrices related with integer squences and we give two examples related with Fibonacci and Lucas numbers.

General Mathematics · Mathematics 2011-05-10 Durmuş Bozkurt

We consider real symmetric or complex hermitian random matrices with correlated entries. We prove local laws for the resolvent and universality of the local eigenvalue statistics in the bulk of the spectrum. The correlations have fast decay…

Probability · Mathematics 2018-03-01 Oskari Ajanki , Laszlo Erdos , Torben Krüger

We consider the set $\mathcal{M}_n(\mathbb Z; H)$ of $n\times n$-matrices with integer elements of size at most $H$ and obtain a new upper bound on the number of matrices from $\mathcal{M}_n(\mathbb Z; H)$ with a given characteristic…

Number Theory · Mathematics 2024-09-05 Philipp Habegger , Alina Ostafe , Igor E. Shparlinski

In an attempt to progress towards proving the conjecture the numerical range W (A) is a 2--spectral set for the matrix A, we propose a study of various constants. We review some partial results, many problems are still open. We describe our…

Functional Analysis · Mathematics 2016-01-26 Michel Crouzeix

In this paper we outline a Matrix Ansatz approach to some problems of combinatorial enumeration. The idea is that many interesting quantities can be expressed in terms of products of matrices, where the matrices obey certain relations. We…

Combinatorics · Mathematics 2021-01-26 Sylvie Corteel , Matthieu Josuat-Vergès , Lauren K. Williams

In this note we introduce the concept of the numerical range of a bounded linear operator with respect to a family of projections. We give a precise definition and elaborate on its connection to the classical numerical range as well as to…

Spectral Theory · Mathematics 2019-01-08 W. Dada , N. Erkurşun , J. Kerner

We provide a solution to the problem of simultaneous $diagonalization$ $via$ $congruence$ of a given set of $m$ complex symmetric $n\times n$ matrices $\{A_{1},\ldots,A_{m}\}$, by showing that it can be reduced to a possibly…

Optimization and Control · Mathematics 2021-02-10 Miguel D. Bustamante , Pauline Mellon , M. Victoria Velasco

The Netflix problem (from machine learning) asks the following. Given a ratings matrix in which each entry $(i,j)$ represents the rating of movie $j$ by customer $i$, if customer $i$ has watched movie $j$, and is otherwise missing, we would…

History and Overview · Mathematics 2025-01-27 S. Dzhenzher , T. Garaev , O. Nikitenko , A. Petukhov , A. Skopenkov , A. Voropaev

Complex systems are typically represented by large ensembles of observations. Correlation matrices provide an efficient formal framework to extract information from such multivariate ensembles and identify in a quantifiable way patterns of…

Data Analysis, Statistics and Probability · Physics 2011-06-03 Stanislaw Drozdz , Jaroslaw Kwapien , Andreas A. Ioannides

We consider contractions of complexified real cones, as recently introduced by Rugh in [Rugh10]. Dubois [Dub09] gave optimal conditions to determine if a matrix contracts a canonical complex cone. First we generalize his results to the case…

Functional Analysis · Mathematics 2010-11-24 Loïc Dubois , Hans Henrik Rugh

In this paper, we investigate the generalized numerical radius $\omega_N$, associated with a matrix norm $N$ defined by $\omega_N(X) = \sup_{\theta \in \mathbb{R}} N(\operatorname{Re}(e^{i\theta}X))$. We focus on matrices whose numerical…

Functional Analysis · Mathematics 2025-06-04 Mohammad Alakhrass

The connection between the commutativity of a family of $n\times n$ matrices and the generalized joint numerical ranges is studied. For instance, it is shown that ${\cal F}$ is a family of mutually commuting normal matrices if and only if…

Functional Analysis · Mathematics 2020-02-10 Chi-Kwong Li , Yiu-Tung Poon , Ya-Shu Wang

For a restricted class of potentials (harmonic+Gaussian potentials), we express the resolvent integral for the correlation functions of simple traces of powers of complex matrices of size $N$, in term of a determinant; this determinant is…

High Energy Physics - Theory · Physics 2009-11-11 M. C. Bergère

We show how the numerical range of a matrix can be used to bound the optimal value of certain optimization problems over real tensor product vectors. Our bound is stronger than the trivial bounds based on eigenvalues, and can be computed…

Optimization and Control · Mathematics 2023-05-24 Nathaniel Johnston , Logan Pipes