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We study nearest-neighbors branching random walks started from a point at the interior of a hypercube. We show that the probability that the process escapes the hypercube is monotonically decreasing with respect to the distance of its…

Probability · Mathematics 2020-02-28 Achillefs Tzioufas

The point of view of the particle is an approach that has proven very powerful in the study of many models of random motions in random media. We provide a new use of this approach to prove the law of large numbers in the case of one or…

Probability · Mathematics 2007-05-23 Firas Rassoul-Agha

The propagation of an initially localized perturbation via an interacting many-particle Hamiltonian dynamics is investigated. We argue that the propagation of the perturbation can be captured by the use of a continuous-time random walk…

Statistical Mechanics · Physics 2012-09-11 V. Zaburdaev , S. Denisov , P. Hanggi

We study a discrete random walk on a one-dimensional finite lattice, where each state has different probabilities to move one step forward, backward, staying for a moment or being absorbed. We obtain expected number of arrivals and expected…

Probability · Mathematics 2023-07-26 Theo van Uem

We consider a general discrete-time branching random walk on a countable set X. We relate local, strong local and global survival with suitable inequalities involving the first-moment matrix M of the process. In particular we prove that,…

Probability · Mathematics 2015-05-18 Fabio Zucca

We consider an elementary model for self-organised criticality, the activated random walk on the complete graph. We introduce a discrete time Markov chain as follows. At each time step, we add an active particle at a random vertex and let…

Probability · Mathematics 2026-04-08 Antal A. Járai , Christian Mönch , Lorenzo Taggi

We solve an adaptive search model where a random walker or L\'evy flight stochastically resets to previously visited sites on a $d$-dimensional lattice containing one trapping site. Due to reinforcement, a phase transition occurs when the…

Statistical Mechanics · Physics 2017-10-11 Andrea Falcón-Cortés , Denis Boyer , Luca Giuggioli , Satya N. Majumdar

This paper concerns the long term behaviour of a growth model describing a random sequential deposition of particles on a finite graph. The probability of allocating a particle at a vertex is proportional to a log-linear function of numbers…

Probability · Mathematics 2020-04-13 Mikhail Menshikov , Vadim Shcherbakov

In this paper, we prove Anderson localization for a hierarchical Anderson-Bernoulli model on lattice with arbitrary dimension, where the potential is characterized by a geometric hierarchical structure combined with fluctuations induced by…

Analysis of PDEs · Mathematics 2026-04-22 Shihe Liu , Yunfeng Shi , Zhifei Zhang

We study branching random walk on $\mathbb{Z}$ in a bounded i.i.d. random environment. For this process, we prove that, for almost every realization of the environment, the distributions of the maximally displaced particle (re-centered…

Probability · Mathematics 2026-01-15 Jiří Černý , Flavio Dalessi

We show that a signal can propagate in a particular direction through a model random medium regardless of the precise state of the medium. As a prototype, we consider a point particle moving on a one-dimensional lattice whose sites are…

Statistical Mechanics · Physics 2015-06-25 Patrick Grosfils , Jean Pierre Boon , E. G. D. Cohen , L. A. Bunimovich

The parabolic Anderson model is the heat equation with some extra spatial randomness. In this paper we consider the parabolic Anderson model with i.i.d. Pareto potential on a critical Galton-Watson tree conditioned to survive. We prove that…

Probability · Mathematics 2022-02-18 Eleanor Archer , Anne Pein

Diffusion has been widely used to describe a random walk of particles or waves, and it requires only one parameter -- the diffusion constant. For waves, however, diffusion is an approximation that disregards the possibility of interference.…

Optics · Physics 2014-01-23 Alexey G. Yamilov , Raktim Sarma , Brandon Redding , Ben Payne , Heeso Noh , Hui Cao

The quantum walk is a quantum counterpart of the classical random walk that exhibits nonclassical behaviors and outperforms the classical random walk in various aspects. It has been known that a single particle can be propagated by a…

Quantum Physics · Physics 2024-12-09 Daer Feng , Shengshi Pang

We consider branching random walk in spatial random branching environment (BRWRE) in dimension one, as well as related differential equations: the Fisher-KPP equation with random branching and its linearized version, the parabolic Anderson…

Probability · Mathematics 2019-04-04 Jiří Černý , Alexander Drewitz

We adapt a simplified version of the Multi-Scale Analysis presented in \cite{C11} to multi-particle tight-binding Anderson models. Combined with a recent eigenvalue concentration bound for multi-particle systems \cite{C10}, the new method…

Mathematical Physics · Physics 2012-05-07 Victor Chulaevsky

This paper is a collection of recent results on discrete-time and continuous-time branching random walks. Some results are new and others are known. Many aspects of this theory are considered: local, global and strong local survival, the…

Probability · Mathematics 2018-05-07 Daniela Bertacchi , Fabio Zucca

We consider a branching random walk in a random space-time environment of disasters where each particle is killed when meeting a disaster. This extends the model of the "random walk in a disastrous random environment" introduced by [15]. We…

Probability · Mathematics 2017-09-13 Nina Gantert , Stefan Junk

We study random walks evolving in continuous time on a one-dimensional lattice where each site $x$ hosts a quenched random potential $U_x$. The potentials on different sites are independent, identically distributed Gaussian random…

Statistical Mechanics · Physics 2026-02-27 Silvio Kalaj , Enzo Marinari , Gleb Oshanin , Luca Peliti

We study the search kinetics of an immobile target by a concentration of randomly moving searchers. The object of the study is to optimize the probability of detection within the constraints of our model. The target is hidden on a…

Statistical Mechanics · Physics 2009-11-11 G. Oshanin , H. S. Wio , K. Lindenberg , S. F. Burlatsky