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We prove that few largest (and most important) eigenvalues of random symmetric matrices of various kinds are very strongly concentrated. This strong concentration enables us to compute the means of these eigenvalues with high precision. Our…

Mathematical Physics · Physics 2007-05-23 Michael Krivelevich , Van H. Vu

This note revisits some majorization inequalities for eigenvalues, special attention is given to an elegant theorem of Hiroshima. An extension of the special case of Hiroshima's theorem is presented. Some discussion and open problems are…

Functional Analysis · Mathematics 2013-01-03 Minghua Lin

Suppose $\{ X_k \}_{k \in \mathbb{Z}}$ is a sequence of bounded independent random matrices with common dimension $d\times d$ and common expectation $\mathbb{E}[ X_k ]= X$. Under these general assumptions, the normalized random matrix…

Probability · Mathematics 2019-07-15 Amelia Henriksen , Rachel Ward

We show that the authors of the commented paper draw their conclusions from the eigenvalues of truncated Hamiltonian matrices that do not converge as the matrix dimension increases. In one of the studied examples the authors missed the real…

Quantum Physics · Physics 2015-06-11 Paolo Amore , Francisco M Fernández

We prove Khinchin-type inequalities with sharp constants for type L random variables and all even moments. Our main tool is Hadamard's factorisation theorem from complex analysis, combined with Newton's inequalities for elementary symmetric…

Probability · Mathematics 2025-01-28 Alex Havrilla , Piotr Nayar , Tomasz Tkocz

Very recently, Bai [Linear Algebra Appl., 681:150-186, 2024 \& Appl. Math. Lett., 166:109510, 2025] studied some concrete structures, and obtained essential algebraic and computational properties of the one-dimensional, two-dimensional and…

Rings and Algebras · Mathematics 2025-06-19 Aaisha Be , Nachiketa Mishra , Debasisha Mishra

The main goal of this paper is to generalize some Li-Yau type gradient estimates to Finsler geometry in order to derive Harnack type inequalities. Moreover, we obtain, under some curvature assumption, a general gradient estimate for…

Differential Geometry · Mathematics 2018-11-07 Cyrille Combete , Serge Degla , Leonard Todjihounde

We show that for all k = 1,...,n the absolute value of the product of the k largest eigenvalues of an n-by-n matrix A is bounded from above by the product of the k largest tropical eigenvalues of the matrix |A| (entrywise absolute value),…

Spectral Theory · Mathematics 2015-04-07 Marianne Akian , Stéphane Gaubert , Andrea Marchesini

We study generalized eigenvalue problems for meet and join matrices with respect to incidence functions on semilattices. We provide new bounds for generalized eigenvalues of meet matrices with respect to join matrices under very general…

Number Theory · Mathematics 2017-10-05 Pauliina Ilmonen , Vesa Kaarnioja

In this short survey, we derive some weyl-type universal inequalities of eigenvalues of the Laplacian on a closed Riemannian manifold of nonnegative Ricci curvature. We also give upper bounds for the $L_{\infty}$ norm of eigenfunctions of…

Differential Geometry · Mathematics 2023-11-08 Kei Funano

Entropic uncertainty relations in a finite dimensional Hilbert space are investigated. Making use of the majorization technique we derive explicit lower bounds for the sum of R\'enyi entropies describing probability distributions associated…

Quantum Physics · Physics 2015-11-20 Zbigniew Puchała , Łukasz Rudnicki , Karol Życzkowski

We revisit and extend a variety of inequalities related to power weighted Rellich and Hardy--Rellich inequalities, including an inequality due to Schmincke.

Analysis of PDEs · Mathematics 2024-09-30 Fritz Gesztesy , Michael M. H. Pang , Jake Parmentier , Jonathan Stanfill

By using a coupling method, an explicit log-Harnack inequality with local geometry quantities is established for (sub-Markovian) diffusion semigroups on a Riemannian manifold (possibly with boundary). This inequality as well as the…

Differential Geometry · Mathematics 2012-09-28 Marc Arnaudon , Anton Thalmaier , Feng-Yu Wang

We prove new boundary Harnack inequalities in Lipschitz domains for equations with a right hand side. Our main result applies to non-divergence form operators with bounded measurable coefficients and to divergence form operators with…

Analysis of PDEs · Mathematics 2023-07-11 Xavier Ros-Oton , Clara Torres-Latorre

We derive the loop equation for the 1-matrix model with generic difference-type measure for eigenvalues and develop a recursive algebraic framework for solving it to an arbitrary order in the coupling constant in and beyond the planar…

High Energy Physics - Theory · Physics 2024-07-24 Edoardo Vescovi , Konstantin Zarembo

We study master equations of the form $$(\partial_t+L)^su=f\quad\hbox{in}~\mathbb{R}\times\Omega$$ where $L$ is a divergence form elliptic operator and $\Omega\subseteq\mathbb{R}^n$. These are nonlocal equations of order $2s$ in space and…

Analysis of PDEs · Mathematics 2021-02-03 A. Biswas , M. De León-Contreras , P. R. Stinga

Consider two types of products of independent random matrices, including products of Ginibre matrices and inverse Ginibre matrices and products of truncated Haar unitary matrices and inverse truncated Haar matrices. Each product matrix has…

Probability · Mathematics 2025-06-13 Shuhua Chang , Tiefeng Jiang , Yongcheng Qi

In this paper we continue the study on intrinsic Harnack inequality for non- homogeneous parabolic equations in non-divergence form initiated by the first author in [1]. We establish a forward-in-time intrinsic Harnack inequality, which in…

Analysis of PDEs · Mathematics 2024-05-07 Vedansh Arya , Vesa Julin

In this paper, we introduce novel characterizations of the classical concept of majorization in terms of upper triangular (resp., lower triangular) row-stochastic matrices, and in terms of sequences of linear transforms on vectors. We used…

Information Theory · Computer Science 2024-05-14 Roberto Bruno , Ugo Vaccaro

We present some extensions of Bernstein's concentration inequality for random matrices. This inequality has become a useful and powerful tool for many problems in statistics, signal processing and theoretical computer science. The main…

Probability · Mathematics 2017-04-18 Stanislav Minsker
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