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相关论文: Localisation in 1D random random walks

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Quantifying how spatial disorder affects the movement of a diffusing particle or agent is fundamental to target search studies. When diffusion occurs on a network, that is on a highly disordered environment, we lack the mathematical tools…

统计力学 · 物理学 2025-08-15 Daniel Marris , Chittaranjan Hens , Subrata Ghosh , Luca Giuggioli

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…

概率论 · 数学 2018-05-07 Daniela Bertacchi , Fabio Zucca

We perform simulations for one dimensional continuous-time random walks in two dynamic random environments with fast (independent spin-flips) and slow (simple symmetric exclusion) decay of space-time correlations, respectively. We focus on…

概率论 · 数学 2012-05-23 L. Avena , P. Thomann

We consider a continuous-time random walk which is the generalization, by means of the introduction of waiting periods on sites, of the one-dimensional nonhomogeneous random walk with a position-dependent drift known in the mathematical…

统计力学 · 物理学 2021-10-25 Gaia Pozzoli , Mattia Radice , Manuele Onofri , Roberto Artuso

We study a one-dimensional model of disordered electrons (also relevant for random spin chains), which exhibits a delocalisation transition at half-filling. Exact probability distribution functions for the Wigner time and transmission…

无序系统与神经网络 · 物理学 2009-10-31 M. Steiner , Yang Chen , M. Fabrizio , Alexander O. Gogolin

We introduce the notion of \emph{localization at the boundary} for conditioned random walks in i.i.d. and uniformly elliptic random environment on $\mathbb{Z}^d$, in dimensions two and higher. Informally, this means that the walk spends a…

概率论 · 数学 2020-10-29 Rodrigo Bazaes

We consider conservative cross-diffusion systems for two species where individual motion rates depend linearly on the local density of the other species. We develop duality estimates and obtain stability and approximation results. We first…

偏微分方程分析 · 数学 2024-10-30 Vincent Bansaye , Ayman Moussa , Felipe Muñoz-Hernández

We study several lattice random walk models with stochastic resetting to previously visited sites which exhibit a phase transition between an anomalous diffusive regime and a localization regime where diffusion is suppressed. The localized…

统计力学 · 物理学 2020-01-27 Denis Boyer , Andrea Falcón-Cortés , Luca Giuggioli , Satya N. Majumdar

We consider the distribution of the duration time, the time elapsed since it began, of a diffusion process given its present position, under the assumption that the process began at the origin. For unbiased diffusion, the distribution does…

统计力学 · 物理学 2013-11-28 Hernán Larralde

We consider random walks evolving on two models of connected and undirected graphs and study the exact large deviations of a local dynamical observable. We prove, in the thermodynamic limit, that this observable undergoes a first-order…

统计力学 · 物理学 2024-09-09 Giorgio Carugno , Pierpaolo Vivo , Francesco Coghi

We study kinetics of electrons, scattered by heavy particles undergoing slow diffusive motion. In a three-dimensional space we claim the existence of the crossover region (on the energy axis), which separates the states with fast diffusion…

无序系统与神经网络 · 物理学 2007-05-23 E. Kogan

We study the spreading of initially-local operators under unitary time evolution in a 1d random quantum circuit model which is constrained to conserve a $U(1)$ charge and its dipole moment, motivated by the quantum dynamics of fracton…

统计力学 · 物理学 2019-05-21 Shriya Pai , Michael Pretko , Rahul M. Nandkishore

We consider a mortal random walker on a family of hierarchical graphs in the presence of some trap sites. The configuration comprising the graph, the starting point of the walk, and the locations of the trap sites is taken to be exactly…

统计力学 · 物理学 2019-06-19 V. Balakrishnan , E. Abad , T. Abil , J. J. Kozak

We investigate the behaviour of the response function in the one dimensional trap model using scaling arguments that we confirm by numerical simulations. We study the average position of the random walk at time tw+t given that a small bias…

无序系统与神经网络 · 物理学 2009-11-10 E. M. Bertin , J. -P. Bouchaud

The symmetries associated with discrete-time quantum walks (DTQWs) and the flexibilities in controlling their dynamical parameters allow to create a large number of topological phases. An interface in position space, which separates two…

量子物理 · 物理学 2015-02-13 C. M. Chandrashekar , H. Obuse , Th. Busch

We consider a 1-dimensional Brownian motion whose diffusion coefficient varies when it crosses the origin. We study the long time behavior and we establish different regimes, depending on the variations of the diffusion coefficient:…

概率论 · 数学 2016-11-28 Nicolas Meunier , Clément Mouhot , Raphaël Roux

We study a one-dimensional sluggish random walk with space-dependent transition probabilities between nearest-neighbour lattice sites. Motivated by trap models of slow dynamics, we consider a model in which the trap depth increases…

统计力学 · 物理学 2023-04-12 Aniket Zodage , Rosalind J. Allen , Martin R. Evans , Satya N. Majumdar

A non--linear diffusion equation is derived by taking into account hopping rates depending on the occupation of next neighbouring sites. There appears additonal repulsive and attractive forces leading to a changed local mobiltiy. The…

统计力学 · 物理学 2009-10-31 S. Artz , M. Schulz , S. Trimper

We study a simple model of a random walker in d dimensions moving in the presence of a local heterogeneous attracting factor expressed in terms of an assigned space-dependent "attractiveness function", a situation frequently encountered in…

统计力学 · 物理学 2017-06-21 Hardi Veermäe , Marco Patriarca

In systems which exhibit deterministic diffusion, the gross parameter dependence of the diffusion coefficient can often be understood in terms of random walk models. Provided the decay of correlations is fast enough, one can ignore memory…

混沌动力学 · 物理学 2013-02-07 Thomas Gilbert , David P. Sanders