English
Related papers

Related papers: The random conductance model with Cauchy tails

200 papers

In [Kozma-Toth, Ann. Probab. v 45, pp 4307-4347 (2017)] the weak CLT was established for random walks in doubly stochastic (or, divergence-free) random environments, under the following conditions: 1. Strict ellipticity assumed for the…

Probability · Mathematics 2025-01-03 Bálint Tóth

We show that there exists an ergodic conductance environment such that the weak (annealed) invariance principle holds for the corresponding continuous time random walk but the quenched invariance principle does not hold. In the present…

Probability · Mathematics 2013-12-17 Martin Barlow , Krzysztof Burdzy , Adám Timár

We study the asymptotic behavior of a nonlattice random walk in a general cone of $R^d$ . Following the approach initiated by D. Denisov and V. Wachtel in [8], we use a strong approximation of random walks by the Brownian motion and prove…

Probability · Mathematics 2026-03-30 Thi da Cam Pham , Marc Peigné , Doan Thai Son

Symmetric heavily tailed random walks on $Z^d, d\geq 1,$ are considered. Under appropriate regularity conditions on the tails of the jump distributions, global (i.e., uniform in $x,t, |x|+t\to\infty,$) asymptotic behavior of the transition…

Probability · Mathematics 2016-03-02 A. Agbor , S. Molchanov , B. Vainberg

We study homogenization properties of the discrete Laplace operator with random conductances on a large domain in $\mathbb{Z}^d$. More precisely, we prove almost-sure homogenization of the discrete Poisson equation and of the top of the…

Probability · Mathematics 2018-06-05 Franziska Flegel , Martin Heida , Martin Slowik

Motivated by random evolutions which do not start from equilibrium, in a recent work, Peligrad and Voln\'{y} (2018) showed that the quenched CLT (central limit theorem) holds for ortho-martingale random fields. In this paper, we study the…

Probability · Mathematics 2019-09-12 Na Zhang , Lucas Reding , Magda Peligrad

In a recent paper of Eichelsbacher and Koenig (2008) the model of ordered random walks has been considered. There it has been shown that, under certain moment conditions, one can construct a k-dimensional random walk conditioned to stay in…

Probability · Mathematics 2009-07-17 D. Denisov , V. Wachtel

In \cite{SzT}, D. Sz\'asz and A. Telcs have shown that for the diffusively scaled, simple symmetric random walk, weak convergence to the Brownian motion holds even in the case of local impurities if $d \ge 2$. The extension of their result…

Probability · Mathematics 2015-05-20 Daniel Paulin , Domokos Szász

We show that for a weakly dense subset of the domain of attraction of a positive stable random variable of index $0<\alpha<1$($DOA\left(\alpha\right))$ the functional stable convergence is a time-changed renewal convergence of distribution…

Probability · Mathematics 2017-09-12 Ofer Busani

We consider a ballistic random walk in an i.i.d. random environment that does not allow retreating in a certain fixed direction. We prove an invariance principle (functional central limit theorem) under almost every fixed environment. The…

Probability · Mathematics 2016-08-14 Firas Rassoul-Agha , Timo Seppäläinen

Attributing a positive value \tau_x to each x in Z^d, we investigate a nearest-neighbour random walk which is reversible for the measure with weights (\tau_x), often known as "Bouchaud's trap model". We assume that these weights are…

Probability · Mathematics 2015-05-18 Jean-Christophe Mourrat

Random walks in random scenery are processes defined by $Z_n:=\sum_{k=1}^n\xi_{X_1+...+X_k}$, where $(X_k,k\ge 1)$ and $(\xi_y,y\in\mathbb Z)$ are two independent sequences of i.i.d. random variables. We assume here that their distributions…

Probability · Mathematics 2010-02-10 Fabienne Castell , Nadine Guillotin-Plantard , Françoise Pène , Bruno Schapira

We consider a biased random walk in positive random conductances on $\mathbb{Z}^d$ for $d\geq 5$. In the sub-ballistic regime, we prove the quenched convergence of the properly rescaled random walk towards a Fractional Kinetics.

Probability · Mathematics 2024-08-22 Alexander Fribergh , Tanguy Lions , Carlo Scali

We prove a quenched functional central limit theorem for a one-dimensional random walk driven by a simple symmetric exclusion process. This model can be viewed as a special case of the random walk in a balanced random environment, for which…

Probability · Mathematics 2021-07-20 Otávio Menezes , Jonathon Peterson , Yongjia Xie

In this article, we quantify the functional convergence of the rescaled random walk with heavy tails to a stable process.This generalizes the Generalized Central Limit Theorem for stable random variables infinite dimension. We show that…

Probability · Mathematics 2026-04-02 Lorick Huang , Laurent Decreusefond , Laure Coutin

Chen [Ann. Appl. Probab. {\bf 11} (2001), 1242--1262] derived exact convergence rates in a central limit theorem and a local limit theorem for a supercritical branching Wiener process.We extend Chen's results to a branching random walk…

Probability · Mathematics 2015-11-17 Zhiqiang Gao , Quansheng Liu

In this article we focus on a general model of random walk on random marked trees. We prove a recurrence criterion, analogue to the recurrence criterion proved by R. Lyons and Robin Pemantle (1992) in a slightly different model. In the…

Probability · Mathematics 2011-09-02 Gabriel Faraud

We consider a branching random walk in the non-boundary case where the additive martingale $W_n$ converges a.s. and in mean to some non-degenerate limit $W_\infty$. We first establish the joint tail distribution of $W_\infty$ and the global…

Probability · Mathematics 2025-04-23 Xinxin Chen , Loïc de Raphélis , Heng Ma

In this article we continue the study of the quenched distributions of transient, one-dimensional random walks in a random environment. In a previous article we showed that while the quenched distributions of the hitting times do not…

Probability · Mathematics 2016-06-14 Jonathon Peterson , Gennady Samorodnitsky

We study a continuous time random walk X in an environment of dynamic random conductances. We assume that the conductances are stationary ergodic, uniformly bounded and bounded away from zero and polynomially mixing in space and time. We…

Probability · Mathematics 2014-03-31 Sebastian Andres