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A large i.i.d. random matrix with deterministic low-rank perturbation has been extensively studied, particularly in the aspects of the ESD (Empirical Spectral Distribution) and the outliers of eigenvalues. In this work, we investigate the…

Information Theory · Computer Science 2025-06-24 Kun Chen , Zhihua Zhang

Observables in random tensor theory are polynomials in the entries of a tensor of rank $d$ which are invariant under $U(N)^d$. It is notoriously difficult to evaluate the expectations of such polynomials, even in the Gaussian distribution.…

Mathematical Physics · Physics 2014-11-26 Valentin Bonzom , Frédéric Combes

Consider a square random matrix with independent and identically distributed entries of mean zero and unit variance. We show that as the dimension tends to infinity, the spectral radius is equivalent to the square root of the dimension in…

Probability · Mathematics 2022-04-20 Charles Bordenave , Djalil Chafaï , David García-Zelada

The statistics of random band--matrices with width and strength of the band slowly varying along the diagonal is considered. The Dyson equation for the averaged Green function close to the edge of spectrum is reduced to the Painlev\'{e} I…

Condensed Matter · Physics 2016-08-31 P. G. Silvestrov

Given a certain invariant random matrix ensemble characterised by the joint probability distribution of eigenvalues $P(\lambda_1,\ldots,\lambda_N)$, many important questions have been related to the study of linear statistics of eigenvalues…

Statistical Mechanics · Physics 2018-05-17 Aurélien Grabsch , Satya N. Majumdar , Christophe Texier

We study the Dvoretzky covering problem for random covering sets driven by general Borel probability measures. As our main result, we solve the problem of covering analytic sets by random covering sets generated by arbitrary Borel…

Probability · Mathematics 2026-01-19 Roope Anttila , Markus Myllyoja

In this paper we perform an analytical and numerical study of Extreme Value distributions in discrete dynamical systems that have a singular measure. Using the block maxima approach described in Faranda et al. [2011] we show that,…

Dynamical Systems · Mathematics 2011-06-14 Davide Faranda , Valerio Lucarini , Giorgio Turchetti , Sandro Vaienti

Let $a_n$ be the random increasing sequence of natural numbers which takes each value independently with decreasing probability of order $n^{-\alpha}$, $0 < \alpha < 1/2$. We prove that, almost surely, for every measure-preserving system…

Classical Analysis and ODEs · Mathematics 2017-08-18 Ben Krause , Pavel Zorin-Kranich

We define a generic rigidity matroid for $k$-volumes of a simplicial complex in $\mathbb{R}^d$, and prove that for $2\leq k \leq d-1$ it has the same rank as the classical generic $d$-rigidity matroid on the same vertex set (namely, the…

Combinatorics · Mathematics 2025-03-04 Alan Lew , Eran Nevo , Yuval Peled , Orit E. Raz

A matrix is called totally positive if every minor of it is positive. Such matrices are well studied and have numerous applications in Mathematics and Computer Science. We study how many times the value of a minor can repeat in a totally…

Combinatorics · Mathematics 2013-09-19 Miriam Farber , Saurabh Ray , Shakhar Smorodinsky

Let R be an unramified regular local ring of mixed characteristic, D an Azumaya R-algebra, K the fraction field of R, Nrd the reduced norm homomorphism for the Azumaya R-algebra D. Let a be a unit in R. It is proved the following: suppose…

K-Theory and Homology · Mathematics 2022-02-14 Ivan Panin

Inspired by a recent paper of I. Grama, E. Le Page and M. Peign\'e, we consider a sequence $(g_n)_{n \geq 1}$ of i.i.d. random $d\times d$-matrices with non-negative entries and study the fluctuations of the process $(\log \vert g_n\cdots…

Probability · Mathematics 2017-06-19 C. Pham

Random-matrix theory helps disentangle signal from noise in large data sets. We analyze rectangular $p \times q$ matrices $W = W_0 + M$ in which the noise $M$ generates a Marchenko-Pastur bulk, whereas the signal $W_0$ injects an extensive…

Disordered Systems and Neural Networks · Physics 2025-11-25 Niklas Forner , Alexander Maloney , Bernd Rosenow

A conjecture of Mihail and Vazirani states that the edge expansion of the graph of every $0/1$ polytope is at least one. Any lower bound on the edge expansion gives an upper bound for the mixing time of a random walk on the graph of the…

Combinatorics · Mathematics 2022-07-11 Brett Leroux , Luis Rademacher

Let $\Lambda$ be the limiting smallest eigenvalue in the general (\beta, a)-Laguerre ensemble of random matrix theory. Here \beta>0, a >-1; for \beta=1,2,4 and integer a, this object governs the singular values of certain rank n Gaussian…

Probability · Mathematics 2011-11-21 Jose A. Ramirez , Brian Rider , Ofer Zeitouni

We analyze statistical properties of complex eigenvalues of random matrices $\hat{A}$ close to unitary. Such matrices appear naturally when considering quantized chaotic maps within a general theory of open linear stationary systems with…

Chaotic Dynamics · Physics 2009-10-31 Yan V. Fyodorov

In this note, we prove that if $X\in\mathbb{R}^{n\times d}$ and $Y\in\mathbb{R}^{n\times p}$ are two independent matrices with i.i.d entries then the empirical spectral distribution of $\frac{1}{d}XX^\top \odot \frac{1}{p}YY^\top$, where…

Probability · Mathematics 2025-02-19 Sebastien Abou Assaly , Lucas Benigni

We consider the spectrum of additive, polynomially vanishing random perturbations of deterministic matrices, as follows. Let $M_N$ be a deterministic $N\times N$ matrix, and let $G_N$ be a complex Ginibre matrix. We consider the matrix…

Probability · Mathematics 2018-12-17 Anirban Basak , Elliot Paquette , Ofer Zeitouni

Given a Radon probability measure $\mu$ supported in $\mathbb{R}^d$, we are interested in those points $x$ around which the measure is concentrated infinitely many times on thin annuli centered at $x$. Depending on the lower and upper…

Classical Analysis and ODEs · Mathematics 2022-08-26 Zoltán Buczolich , Stéphane Seuret

For a $d$-dimensional random vector $X$, let $p_{n, X}(\theta)$ be the probability that the convex hull of $n$ independent copies of $X$ contains a given point $\theta$. We provide several sharp inequalities regarding $p_{n, X}(\theta)$ and…

Probability · Mathematics 2023-01-11 Satoshi Hayakawa , Terry Lyons , Harald Oberhauser
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