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相关论文: On-site residence time in a driven diffusive syste…

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We determine how long a diffusing particle spends in a given spatial range before it dies at an absorbing boundary. In one dimension, for a particle that starts at $x_0$ and is absorbed at $x=0$, the average residence time in the range…

统计力学 · 物理学 2018-10-23 J. Randon-Furling , S. Redner

We develop a mean-field theory for the totally asymmetric simple exclusion process (TASEP) with open boundaries, in order to investigate the so-called dynamical transition. The latter phenomenon appears as a singularity in the relaxation…

统计力学 · 物理学 2020-08-11 Davide Botto , Alessandro Pelizzola , Marco Pretti , Marco Zamparo

A heuristic law widely used in fluid dynamics for steady flows states that the amount of a fluid in a control volume is the product of the fluid influx and the mean time that the particles of the fluid spend in the volume, or mean residence…

数学物理 · 物理学 2023-04-24 Marco Zamparo , Luca Dall'Asta , Andrea Gamba

We study the time until first occurrence, the first-passage time, of rare density fluctuations in diffusive systems. We approach the problem using a model consisting of many independent random walkers on a lattice. The existence of spatial…

统计力学 · 物理学 2008-05-16 David P. Sanders , Hernán Larralde

Adsorption to a surface, reversible-binding, and trapping are all prevalent scenarios where particles exhibit "stickiness". Escape and first-passage times are known to be drastically affected, but detailed understanding of this phenomenon…

统计力学 · 物理学 2023-12-06 Yuval Scher , Shlomi Reuveni , Denis S. Grebenkov

We present a method to learn mean residence time and escape probability from data modeled by stochastic differential equations. This method is a combination of machine learning from data (to extract stochastic differential equations as…

动力系统 · 数学 2019-10-02 Dengfeng Wu , Miaomiao Fu , Jinqiao Duan

The mean-squared displacement (MSD) is an averaged quantity widely used to assess anomalous diffusion. In many cases, such as molecular motors with finite processivity, dynamics of the system of interest produce trajectories of varying…

统计力学 · 物理学 2020-10-07 Chapin S. Korosec , David A. Sivak , Nancy R. Forde

We analyze the mean time t_{app} that a randomly moving particle spends in a bounded domain (sphere) before it escapes through a small window in the domain's boundary. A particle is assumed to diffuse freely in the bulk until it approaches…

软凝聚态物质 · 物理学 2015-05-18 G. Oshanin , M. Tamm , O. Vasilyev

We study the effect of a large obstacle on the so called residence time, i.e., the time that a particle performing a symmetric random walk in a rectangular (2D) domain needs to cross the strip. We observe a complex behavior, that is we find…

统计力学 · 物理学 2018-05-23 Alessandro Ciallella , Emilio N. M. Cirillo , Julien Sohier

In this work we consider a stochastic movement process with random resets to the origin followed by a random residence time there before the walker restarts its motion. First, we study the transport properties of the walker, we derive an…

统计力学 · 物理学 2019-05-22 Axel Masó-Puigdellosas , Daniel Campos , Vicenç Méndez

We introduce a residence-time approach (RTA) for determining position-dependent diffusivities from biased molecular dynamics simulations. The method is formulated for trajectory segments in which the effective drift along the transport…

软凝聚态物质 · 物理学 2026-04-03 Rinto Thomas , Praveen Ranganath Prabhakar , Michael von Domaros

The local time in an ensemble of particles measures the amount of time the particles spend in the vicinity of a given point in space. Here we study fluctuations of the empirical time average $R= T^{-1}\int_{0}^{T}\rho\left(x=0,t\right)\,dt$…

统计力学 · 物理学 2024-03-18 Naftali R. Smith , Baruch Meerson

Suspensions of low-diffusing particles in pipe flows exhibit a difference in age at different radial positions. Particles near the channel walls have higher residence times than the cross-sectional average. We quantify this effect using…

流体动力学 · 物理学 2025-09-25 Etienne Boulais , Richard D. Braatz

We investigate the stationary states of one-dimensional driven diffusive systems, coupled to boundary reservoirs with fixed particle densities. We argue that the generic phase diagram is governed by an extremal principle for the macroscopic…

统计力学 · 物理学 2009-10-31 Vladislav Popkov , Gunter M. Schuetz

We study the connection between transport phenomenon and escape rate statistics in two-dimensional standard map. For the purpose of having an open phase space, we let the momentum co-ordinate vary freely and restrict only angle with…

统计力学 · 物理学 2020-10-07 L. Lugosi , T. Kovács

We study the following interacting particle system. There are $\rho n$ particles, $\rho < 1$, moving clockwise ("right"), in discrete time, on $n$ sites arranged in a circle. Each site may contain at most one particle. At each time, a…

概率论 · 数学 2019-08-16 Seva Shneer , Alexander Stolyar

A relevant relation between the dwell time and the density of states for a three dimensional system of arbitrary shape with an arbitrary number of incoming channel is derived. This result extends the one obtained by Gasparian et al. for the…

量子物理 · 物理学 2009-10-28 Giuseppe Iannaccone

We investigate fluid transport in random velocity fields with unsteady drift. First, we propose to quantify fluid transport between flow regimes of different characteristic motion, by escape probability and mean residence time. We then…

chao-dyn · 物理学 2007-05-23 Jinqiao Duan , James Brannan , Vincent Ervin

We consider fluctuations of the time-averaged current in the one-dimensional weakly-asymmetric exclusion process on a ring. The optimal density profile which sustains a given fluctuation exhibits an instability for low enough currents,…

统计力学 · 物理学 2013-10-29 Carlos P. Espigares , Pedro L. Garrido , Pablo I. Hurtado

We study the continuous absorbing-state phase transition in the one-dimensional diffusive epidemic process via mean-field theory and Monte Carlo simulation. In this model, particles of two species (A and B) hop on a lattice and undergo…

统计力学 · 物理学 2009-11-11 Daniel Souza Maia , Ronald Dickman
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