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Motivated by a recent work of Benoist and Quint and extending results from the PhD thesis of the third author, we obtain limit theorems for products of independent and identically distributed elements of GLd (R), such as the…

Probability · Mathematics 2016-03-08 Christophe Cuny , Jerome Dedecker , Christophe Jan

It is well known that the weak limit of a suitably scaled continuous-time random walk (CTRW) is the Brownian motion. We investigate the convergence of certain patterned random matrices whose entries are independent CTRWs and their…

Probability · Mathematics 2026-01-05 Arup Bose , Pradeep Vishwakarma

We consider a random walk on $\Z$ that branches at the origin only. In the supercritical regime we establish a law of large number for the maximal position $M_n$. Then we determine all possible limiting law for the sequence $M_n -\alpha n$…

Probability · Mathematics 2012-09-28 Philippe Carmona , Yueyun Hu

We prove a law of large numbers for random walks in certain kinds of i.i.d. random environments in Z^d that is an extension of a result of Bolthausen, Sznitman and Zeitouni (2003). We use this result, along with the lace expansion for…

Probability · Mathematics 2016-11-25 Mark Holmes , Rongfeng Sun

We prove a {\it{quenched}} large deviation principle (LDP) for a simple random walk on a supercritical percolation cluster on $\Z^d$, $d\geq 2$.. We take the point of view of the moving particle and first prove a quenched LDP for the…

Probability · Mathematics 2015-04-02 Noam Berger , Chiranjib Mukherjee

The limit distributions of the charged-polymer Hamiltonian of Kantor and Kardar [Bernoulli case] and Derrida, Griffiths and Higgs [Gaussian case] are considered. Two sources of randomness enter in the definition: a random field $q=…

Probability · Mathematics 2015-10-02 Nadine Guillotin-Plantard , Renato Soares Dos Santos

We give a local central limit theorem for simple random walks on Z^d, including Gaussian error estimates. The detailed proof combines standard large deviation techniques with Cramer-Edgeworth expansions for lattice distributions.

Probability · Mathematics 2007-05-23 Christine Ritzmann

We prove an annealed weak limit of the trajectory of the random walks in cooling random environment (RWCRE) under both slow (polynomial) and fast (exponential) cooling. We identify the weak limit when the underlying static environment is…

Probability · Mathematics 2021-07-16 Yongjia Xie

We study the disordered quantum walk in one dimension, and obtain the weak limit theorem.

Mathematical Physics · Physics 2011-09-01 Clement Ampadu

We study biased random walks on dynamical percolation on $\mathbb{Z}^d$. We establish a law of large numbers and an invariance principle for the random walk using regeneration times. Moreover, we verify that the Einstein relation holds, and…

Probability · Mathematics 2024-09-26 Sebastian Andres , Nina Gantert , Dominik Schmid , Perla Sousi

We study biased random walks on dynamical percolation in $\mathbb{Z}^d$, which were recently introduced by Andres et al. We provide a second order expansion for the asymptotic speed and show for $d \ge 2$ that the speed of the biased random…

Probability · Mathematics 2025-02-13 Assylbek Olzhabayev , Dominik Schmid

We consider random walks in strong-mixing random Gibbsian environments in $\mathbb{Z}^d, d\ge 2$. Based on regeneration arguments, we will first provide an alternative proof of Rassoul-Agha's conditional law of large numbers (CLLN) for…

Probability · Mathematics 2012-09-11 Xiaoqin Guo

We consider a multidimensional random walk in a product random environment with bounded steps, transience in some spatial direction, and high enough moments on the regeneration time. We prove an invariance principle, or functional central…

Probability · Mathematics 2015-05-13 Firas Rassoul-Agha , Timo Seppalainen

We consider a discrete-time random walk on the nodes of an unbounded hexagonal lattice. We determine the probability generating functions, the transition probabilities and the relevant moments. The convergence of the stochastic process to a…

Probability · Mathematics 2019-09-16 Antonio Di Crescenzo , Claudio Macci , Barbara Martinucci , Serena Spina

We consider a discrete time biased random walk conditioned to avoid Bernoulli obstacles on ${\mathbb Z}^d$ ($d\geq 2$) up to time $N$. This model is known to undergo a phase transition: for a large bias, the walk is ballistic whereas for a…

Probability · Mathematics 2020-09-17 Jian Ding , Ryoki Fukushima , Rongfeng Sun , Changji Xu

It is well known that random walks in one dimensional random environment can exhibit subdiffusive behavior due to presence of traps. In this paper we show that the passage times of different traps are asymptotically independent exponential…

Probability · Mathematics 2010-12-14 Dmitry Dolgopyat , Ilya Goldsheid

We study a continuous-time random walk, $X$, on $\mathbb{Z}^d$ in an environment of dynamic random conductances taking values in $(0, \infty)$. We assume that the law of the conductances is ergodic with respect to space-time shifts. We…

Probability · Mathematics 2019-05-31 Sebastian Andres , Alberto Chiarini , Jean-Dominique Deuschel , Martin Slowik

We consider random walks with independent but not necessarily identical distributed increments. Assuming that the increments satisfy the well-known Lindeberg condition, we investigate the asymptotic behaviour of first-passage times over…

Probability · Mathematics 2016-11-03 Denis Denisov , Alexander Sakhanenko , Vitali Wachtel

We derive an annealed large deviation principle (LDP) for the normalised and rescaled local times of a continuous-time random walk among random conductances (RWRC) in a time-dependent, growing box in $\Z^d$. We work in the interesting case…

Probability · Mathematics 2013-08-22 Wolfgang König , Tilman Wolff

We prove a quenched invariance principle for a class of random walks in random environment on $\mathbb{Z}^d$, where the walker alters its own environment. The environment consists of an outgoing edge from each vertex. The walker updates the…

Probability · Mathematics 2021-07-02 Swee Hong Chan , Lila Greco , Lionel Levine , Peter Li