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Related papers: Matrix positivity preservers in fixed dimension. I

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We define a function of two real vectors by a certain homogeneous quotient involving power sums, and show that its supremum grows asymptotically linearly w.r.t. the dimension. From this, we deduce a condition under which a parametric set of…

Classical Analysis and ODEs · Mathematics 2025-12-08 Stefan Gerhold , Friedrich Hubalek

In a previous paper J.-G. Luque and the author (Sem. Loth. Combin. 2011) developed the theory of nonsymmetric Macdonald polynomials taking values in an irreducible module of the Hecke algebra of the symmetric group $\mathcal{S}_{N}$. The…

Representation Theory · Mathematics 2019-02-01 Charles F. Dunkl

It is common in stability analysis to linearize a system and investigate the spectrum of the Jacobian matrix. This approach faces the challenge of determining the matrix spectrum when the coefficients depend on parameters or when the…

Dynamical Systems · Mathematics 2025-03-17 Ziyad AlSharawi , Jose S. Cánovas , Sadok Kallel

Let $\mathbf{X}$ be a class of metric spaces and let $\mathbf{P}_{\mathbf{X}}$ be the set of all $f:[0, \infty)\to [0, \infty)$ preserving $\mathbf{X},$ $(Y, f\circ\rho)\in\mathbf{X}$ whenever $(Y, \rho)\in\mathbf{X}.$ For arbitrary subset…

General Topology · Mathematics 2024-04-23 Viktoriia Bilet , Oleksiy Dovgoshey

We study sum-of-squares representations of symmetric univariate real matrix polynomials that are positive semidefinite along the real line. We give a new proof of the fact that every positive semidefinite univariate matrix polynomial of…

Algebraic Geometry · Mathematics 2017-07-27 Christoph Hanselka , Rainer Sinn

Tubal scalars are usual vectors, and tubal matrices are matrices with every element being a tubal scalar. Such a matrix is often recognized as a third-order tensor. The product between tubal scalars, tubal vectors, and tubal matrices can be…

Spectral Theory · Mathematics 2021-07-28 Yuning Yang , Junwei Zhang

For positive integers $1 \leq k \leq n$ let $M_n$ be the algebra of all $n \times n$ complex matrices and $M_n^{\le k}$ its subset consisting of all matrices of rank at most $k$. We first show that whenever $k>\frac{n}{2}$, any continuous…

Spectral Theory · Mathematics 2025-07-10 Alexandru Chirvasitu , Ilja Gogić , Mateo Tomašević

We analyze when an arbitrary matrix pencil is equivalent to a dissipative Hamiltonian pencil and show that this heavily restricts the spectral properties. In order to relax the spectral properties, we introduce matrix pencils with…

Numerical Analysis · Mathematics 2021-10-22 Christian Mehl , Volker Mehrmann , Michal Wojtylak

Let $L$ be a linear operator on univariate polynomials of bounded degree taking values in real symmetric matrices, whose moment matrix is positive semidefinite. Assume that $L$ admits a positive matrix-valued representing measure $\mu$. Any…

Functional Analysis · Mathematics 2025-11-25 Aljaž Zalar , Igor Zobovič

In 1982 Macdonald published his now famous constant term conjectures for classical root systems. This paper begins with the almost trivial observation that Macdonald's constant term identities admit an extra set of free parameters, thereby…

Combinatorics · Mathematics 2015-09-08 Gyula Karolyi , Alain Lascoux , S. Ole Warnaar

Nondegenerate covariance, correlation and spectral density matrices are necessarily symmetric or Hermitian and positive definite. The main contribution of this paper is the development of statistical data depths for collections of Hermitian…

Methodology · Statistics 2019-11-12 Joris Chau , Hernando Ombao , Rainer von Sachs

The Schur-Horn theorem is a well-known result that characterizes the relationship between the diagonal elements and eigenvalues of a symmetric (Hermitian) matrix. In this paper, we extend this theorem by exploring the eigenvalue…

Numerical Analysis · Mathematics 2026-01-06 Hengzhun Chen , Yingzhou Li

We represent low dimensional quantum mechanical Hamiltonians by moderately sized finite matrices that reproduce the lowest O(10) boundstate energies and wave functions to machine precision. The method extends also to Hamiltonians that are…

Quantum Physics · Physics 2015-06-03 Johann Foerster , Alejandro Saenz , Ulli Wolff

We explore the asymptotic convergence and nonasymptotic maximal inequalities of supermartingales and backward submartingales in the space of positive semidefinite matrices. These are natural matrix analogs of scalar nonnegative…

Probability · Mathematics 2025-10-21 Hongjian Wang , Aaditya Ramdas

The seminal work by Mackey et al. in 2006 (reference [21] of the article) introduced vector spaces of matrix pencils, with the property that almost all the pencils in the spaces are strong linearizations of a given square regular matrix…

Numerical Analysis · Mathematics 2018-08-03 Biswajit Das , Shreemayee Bora

We introduce a countable collection of positivity classes for Hermitian symmetric functions on a complex manifold, and establish their basic properties. We study a related notion of stability. The first main result shows that, if the…

Complex Variables · Mathematics 2007-05-23 John P. D'Angelo , Dror Varolin

Bochner's theorem characterizes positive definite functions on groups through the positivity of their Fourier transforms and plays a fundamental role in Harmonic analysis. While Bochner-type results are known for certain classes of…

Mathematical Physics · Physics 2026-03-03 Sohail , Sahil

This paper addresses the following three topics: positive semidefinite (psd) matrix completions, universal rigidity of frameworks, and the Strong Arnold Property (SAP). We show some strong connections among these topics, using semidefinite…

Optimization and Control · Mathematics 2013-01-29 M. Laurent , A. Varvitsiotis

A spectrahedron is the positivity region of a linear matrix pencil and thus the feasible set of a semidefinite program. We propose and study a hierarchy of sufficient semidefinite conditions to certify the containment of a spectrahedron in…

Optimization and Control · Mathematics 2015-03-23 Kai Kellner , Thorsten Theobald , Christian Trabandt

We give a simplified exposition of Kummert's approach to proving that every matrix-valued rational inner function in two variables has a minimal unitary transfer function realization. A slight modification of the approach extends to…

Complex Variables · Mathematics 2022-03-04 Greg Knese