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The Glivenko--Cantelli theorem is a uniform version of the strong law of large numbers. It states that for every IID sequence of random variables, the empirical measure converges to the underlying distribution (in the sense of uniform…

Probability · Mathematics 2026-05-13 Tobias Fritz , Tomáš Gonda , Antonio Lorenzin , Paolo Perrone , Areeb Shah Mohammed

We address the question of the asymptotic description of random tensors that are local-unitary invariant, that is, invariant by conjugation by tensor products of independent unitary matrices. We consider both the mixed case of a tensor with…

Mathematical Physics · Physics 2025-04-04 Benoit Collins , Razvan Gurau , Luca Lionni

The aim of this note is to prove a law of large numbers for local patterns in discrete point processes. We investigate two different situations: a class of point processes on the one dimensional lattice including certain Schur measures, and…

Probability · Mathematics 2022-02-16 Pierre Lazag

This paper describes the quality of convergence to an infinitely divisible law relative to free multiplicative convolution. We show that convergence in distribution for products of identically distributed and infinitesimal free random…

Functional Analysis · Mathematics 2014-05-07 Michael Anshelevich , Jiun-Chau Wang , Ping Zhong

We present a limit theorem describing the behavior of a probabilistic model for square-free numbers. The limiting distribution has a density that comes from the Dickman-De Bruijn function and is constant on the interval $[0,1]$. We also…

Probability · Mathematics 2010-10-18 Francesco Cellarosi , Yakov G. Sinai

We explore an asymptotic behavior of densities of sums of independent random variables that are convoluted with a small continuous noise.

Probability · Mathematics 2019-01-11 Sergey G. Bobkov , Arnaud Marsiglietti

We use the convolution method for arithmetic functions of several variables to deduce an asymptotic formula for the number of $k$-tuples of positive integers with components which are pairwise non-coprime and $\le x$. More generally, we…

Number Theory · Mathematics 2024-12-09 László Tóth

We investigate the asymptotic properties of permutations drawn from the Luce model, a natural probabilistic framework in which permutations are generated sequentially by sampling without replacement, with selection probabilities…

Probability · Mathematics 2025-10-07 Jacopo Borga , Sourav Chatterjee , Persi Diaconis

We extend the notions of finite free convolution and finite free cumulants to the setting of formal power series by introducing their natural analogues, namely $t$-deformed convolution and $t$-deformed cumulants. In this framework, we…

Probability · Mathematics 2026-04-16 Shuhei Tsujie , Yuki Ueda

Based on a new analytical approach to the definition of additive free convolution on probability measures on the real line we prove free analogs of limit theorems for sums for non-identically distributed random variables in classical…

Operator Algebras · Mathematics 2007-05-23 G. P. Chistyakov , F. Götze

The Mallows measure on the symmetric group $S_n$ is the probability measure such that each permutation has probability proportional to $q$ raised to the power of the number of inversions, where $q$ is a positive parameter and the number of…

Probability · Mathematics 2015-09-29 Carl Mueller , Shannon Starr

The correlated probabilistic model introduced and analytically discussed in Hanel et al (2009) is based on a self-dual transformation of the index $q$ which characterizes a current generalization of Boltzmann-Gibbs statistical mechanics,…

Statistical Mechanics · Physics 2022-11-23 Dario Javier Zamora , Constantino Tsallis

In a series of papers [22-24] by Bufetov and Gorin, Schur generating functions as the Fourier transforms on the unitary group $U(N)$, are introduced to study the asymptotic behaviors of random $N$-particle systems. We introduce and study…

Probability · Mathematics 2018-07-27 Jiaoyang Huang

Motivated by a recent extension of the zero-one law by Kolaitis and Kopparty, we study the distribution of the number of copies of a fixed disconnected graph in the random graph $G(n,p)$. We use an idea of graph decompositions to give a…

Combinatorics · Mathematics 2015-02-03 Bobby DeMarco , Amanda Redlich

We study $q$-deformation of probability measures on partitions, i.e., $q$-deformed random partitions. We in particular consider the $q$-Plancherel measure and show a determinantal formula for the correlation function using a $q$-deformation…

Combinatorics · Mathematics 2025-12-09 Taro Kimura

The Mallows measure is a probability measure on $S_n$ where the probability of a permutation $\pi$ is proportional to $q^{l(\pi)}$ with $q > 0$ being a parameter and $l(\pi)$ the number of inversions in $\pi$. We show the convergence of the…

Probability · Mathematics 2019-05-07 Ke Jin

We derive a large deviation principle for random permutations induced by probability measures of the unit square, called permutons. These permutations are called $\mu$-random permutations. We also introduce and study a new general class of…

Probability · Mathematics 2023-04-04 Jacopo Borga , Sayan Das , Sumit Mukherjee , Peter Winkler

We study a Gaussian measure with parameter $q\in(0,1)$ on the dual of the unitary group of size $N$: we prove that a random highest weight under this measure is the coupling of two independent $q$-uniform random partitions $\alpha,\beta$…

Mathematical Physics · Physics 2025-04-14 Thibaut Lemoine , Mylène Maïda

For each integer $n\ge 1$, denote by $T_{n}$ the map $x\mapsto nx\mod 1$ from the circle group $\mathbb{T} = \mathbb{R}/\mathbb{Z}$ into itself. Let $p,q\ge 2$ be two multiplicatively independent integers. Using Baire Category arguments, we…

Dynamical Systems · Mathematics 2024-11-07 Catalin Badea , Sophie Grivaux

The Mallows measure is a probability measure on $S_n$ where the probability of a permutation $\pi$ is proportional to $q^{l(\pi)}$ with $q > 0$ being a parameter and $l(\pi)$ the number of inversions in $\pi$. We prove a weak law of large…

Probability · Mathematics 2019-05-07 Ke Jin