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Let $\mathcal{P}$ be the set of the primes. We consider a class of random multiplicative functions $f$ supported on the squarefree integers, such that $\{f(p)\}_{p\in\mathcal{P}}$ form a sequence of $\pm1$ valued independent random…

Number Theory · Mathematics 2019-11-22 Marco Aymone , Vladas Sidoravicius

We consider sequences of random variables whose probability generating functions are polynomials all of whose roots lie on the unit circle. The distribution of such random variables has only been sporadically studied in the literature. We…

Probability · Mathematics 2013-01-11 Hsien-Kuei Hwang , Vytas Zacharovas

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

Let $X$ be a random variable with distribution function $F,$ and $X_{1},X_{2},...,X_{n}$ are independent copies of $X.$ Consider the order statistics $X_{i:n},$ $i=1,2,...,n$ and denote $F_{i:n}(x)=P\{X_{i:n}\leq x\}.$ Using majorization…

Statistics Theory · Mathematics 2011-09-02 Ismihan Bairamov

For $p \in (0,1)$, sample a binary sequence from the infinite product measure of Bernoulli$(p)$ distributions. It is known that for $p=1/2$, almost every binary sequence is Poisson generic in the sense of Peres and Weiss, a property that…

Probability · Mathematics 2025-09-30 Jon V. Kogan , Nicolò Paviato

The usual random walk on a group (homogeneous both in time and in space) is determined by a probability measure on the group. In a random walk with random transition probabilities this single measure is replaced with a stationary sequence…

Probability · Mathematics 2007-05-23 Vadim A. Kaimanovich , Yuri Kifer , Ben-Zion Rubshtein

We prove limit theorems for the number of fixed points occurring in a random pattern-avoiding permutation distributed according to a one-parameter family of biased distributions. The bias parameter exponentially tilts the distribution…

Probability · Mathematics 2026-03-11 Aksheytha Chelikavada , Hugo Panzo

We derive the characteristic function of stochastic functionals of a random walk whose position is reset to the origin at random times drawn from a general probability distribution. We analyze the long-time behavior and obtain the temporal…

Statistical Mechanics · Physics 2025-07-09 V. Méndez , R. Flaquer-Galmés

We consider the random directed graph $\vec{G}(n,p)$ with vertex set $\{1,2,\ldots,n\}$ in which each of the $n(n-1)$ possible directed edges is present independently with probability $p$. We are interested in the strongly connected…

Probability · Mathematics 2021-08-05 Christina Goldschmidt , Robin Stephenson

We introduce a simply stated conjecture regarding the maximum mutual information a Boolean function can reveal about noisy inputs. Specifically, let $X^n$ be i.i.d. Bernoulli(1/2), and let $Y^n$ be the result of passing $X^n$ through a…

Information Theory · Computer Science 2013-07-16 Gowtham R. Kumar , Thomas A. Courtade

Certain frustrated systems, including spin ice and dimer models, exhibit a Coulomb phase at low temperatures, with power-law correlations and fractionalized monopole excitations. Transitions out of this phase, at which the effective gauge…

Statistical Mechanics · Physics 2012-08-09 Stephen Powell

We consider the limit behavior of a one-dimensional random walk with unit jumps whose transition probabilities are modified every time the walk hits zero. The invariance principle is proved in the scheme of series where the size of…

Probability · Mathematics 2016-11-08 Andrey Pilipenko , Vladislav Khomenko

We study the long-time behavior of decoupled continuous-time random walks characterized by superheavy-tailed distributions of waiting times and symmetric heavy-tailed distributions of jump lengths. Our main quantity of interest is the…

Statistical Mechanics · Physics 2011-12-30 S. I. Denisov , S. B. Yuste , Yu. S. Bystrik , H. Kantz , K. Lindenberg

We investigate the rate of convergence toward the Boolean extreme value distribution, which is the universal limiting law for the normalized spectral maximum of Boolean independent and identically distributed positive operators, under the…

Probability · Mathematics 2026-04-09 Yuki Ueda

In this paper we consider a variant of the well-known Achlioptas process for graphs adapted to monotone Boolean functions. Fix a number of choices $r\in \mathbb N$ and a sequence of increasing functions $(f_n)_{n\ge 1}$ such that, for every…

Combinatorics · Mathematics 2021-09-28 Nicolas Fraiman , Lyuben Lichev , Dieter Mitsche

We study the elephant random walk in arbitrary dimension $d\geq 1$. Our main focus is the limiting random variable appearing in the superdiffusive regime. Building on a link between the elephant random walk and P\'olya-type urn models, we…

Probability · Mathematics 2024-04-18 Hélène Guérin , Lucile Laulin , Kilian Raschel

We use p-values to identify the threshold level at which a regression function takes off from its baseline value, a problem motivated by applications in toxicological and pharmacological dose-response studies and environmental statistics.…

Methodology · Statistics 2011-06-13 Atul Mallik , Bodhisattva Sen , Moulinath Banerjee , George Michailidis

Linear functions of many independent random variables lead to classical noises (white, Poisson, and their combinations) in the scaling limit. Some singular stochastic flows and some models of oriented percolation involve very nonlinear…

Probability · Mathematics 2007-05-23 Boris Tsirelson

A Boolean function $f:\{0,1\}^d \mapsto \{0,1\}$ is unate if, along each coordinate, the function is either nondecreasing or nonincreasing. In this note, we prove that any nonadaptive, one-sided error unateness tester must make…

Computational Complexity · Computer Science 2017-06-02 Roksana Baleshzar , Deeparnab Chakrabarty , Ramesh Krishnan S. Pallavoor , Sofya Raskhodnikova , C. Seshadhri

We consider a variant of a classical coverage process, the boolean model in $\mathbb{R}^d$. Previous efforts have focused on convergence of the unoccupied region containing the origin to a well studied limit $C$. We study the intersection…

Probability · Mathematics 2025-11-04 Jacob Richey , Amites Sarkar