中文
相关论文

相关论文: Run-and-tumble particles on a line with a fertile …

200 篇论文

We use probabilistic methods to study properties of mean-field models, arising as large-scale limits of certain particle systems with mean-field interaction. The underlying particle system is such that $n$ particles move forward on the real…

概率论 · 数学 2022-04-19 Alexander Stolyar

In this paper, we introduce a one-dimensional model of particles performing independent random walks, where only pairs of particles can produce offspring ("cooperative branching"), and particles that land on an occupied site merge with the…

概率论 · 数学 2015-05-29 Anja Sturm , Jan M. Swart

In this paper we consider the coalescence dynamics of a tagged particle moving in a random distribution of particles with volumes independently distributed according to a probability distribution (CTP model). We provide a rigorous…

数学物理 · 物理学 2018-01-30 Alessia Nota , Juan J. L. Velázquez

In this paper we create a model of particle motion on a three-dimensional lattice using discrete random walk with small steps. We rigorously construct a probability space of the particle trajectories. Unlike deterministic approach in…

概率论 · 数学 2022-03-04 Farida Kachapova , Ilias Kachapov

We study the nonequilibrium stationary state of a one-dimensional inertial run-and-tumble particle (IRTP) trapped in a harmonic potential. We find that the presence of inertia leads to two distinct dynamical scenarios, namely, overdamped…

统计力学 · 物理学 2025-05-21 Debraj Dutta , Anupam Kundu , Sanjib Sabhapandit , Urna Basu

We investigate the transport properties of active particles undergoing a three-state run-and-tumble dynamics in one dimension, induced by non-reciprocal transition rates between self-propelling velocity states $\{-v, 0, +v\}$ that…

统计力学 · 物理学 2025-08-15 Julio C. R. Romo-Cruz , Francisco J. Sevilla

Run-and-tumble (RNT) motion is a prominent locomotion strategy employed by many living microorganisms. It is characterized by straight swimming intervals (runs), which are interrupted by sudden reorientation events (tumbles). In contrast,…

软凝聚态物质 · 物理学 2018-02-14 Celia Lozano , Juan Ruben Gomez-Solano , Clemens Bechinger

We study the dynamics of the separation (gap) between a pair of interacting run and tumble particles (RTPs) moving in one dimension in the presence of additional thermal noise. On a ring geometry the distribution of the gap approaches a…

统计力学 · 物理学 2020-08-26 Arghya Das , Abhishek Dhar , Anupam Kundu

We consider a one-dimensional run-and-tumble particle, or persistent random walk, in the presence of an absorbing boundary located at the origin. After each tumbling event, which occurs at a constant rate $\gamma$, the (new) velocity of the…

统计力学 · 物理学 2021-05-31 Benjamin De Bruyne , Satya N. Majumdar , Gregory Schehr

We study the long-time behavior of two run-and-tumble particles on the real line subjected to an attractive interaction potential and jamming interactions, which prevent the particles from crossing. We provide the explicit invariant…

概率论 · 数学 2025-01-22 Leo Hahn

We consider the driven dynamics of a probe particle moving through an assembly of particles with competing long-range repulsive and short-range attractive interactions, which form crystal, stripe, labyrinth, and bubble states as the ratio…

软凝聚态物质 · 物理学 2025-01-10 C. Reichhardt , C. J. O. Reichhardt

We consider a continuous-time branching random walk on $\mathbb{Z}$ in a random non homogeneous environment. Particles can walk on the lattice points or disappear with random intensities. The process starts with one particle at initial time…

概率论 · 数学 2023-12-12 Vladimir Kutsenko , Stanislav Molchanov , Elena Yarovaya

We consider an active run-and-tumble particle (RTP) in $d$ dimensions and compute exactly the probability $S(t)$ that the $x$-component of the position of the RTP does not change sign up to time $t$. When the tumblings occur at a constant…

统计力学 · 物理学 2020-03-03 Francesco Mori , Pierre Le Doussal , Satya N. Majumdar , Gregory Schehr

We numerically examine a bidisperse system of active and passive particles coupled to a resource substrate. The active particles deplete the resource at a fixed rate and move toward regions with higher resources, while all of the particles…

软凝聚态物质 · 物理学 2024-04-23 L. Varga , A. Libal , C. Reichhardt , C. J. O. Reichhardt

We study active run-and-tumble particles with an additional two-state internal variable characterizing their motile or non-motile state. Motile particles change irreversibly into non-motile ones upon collision with a non-motile particle.…

软凝聚态物质 · 物理学 2018-11-27 Matteo Paoluzzi , Marco Leoni , M Cristina Marchetti

The random energy landscapes developed by speckle fields can be used to confine and manipulate a large number of micro-particles with a single laser beam. By means of molecular dynamics simulations, we investigate the static and dynamic…

统计力学 · 物理学 2014-08-22 M. Paoluzzi , R. Di Leonardo , L. Angelani

In this paper, we study run-and-tumble particles moving on two copies of the discrete torus (referred to as layers), where the switching rate between layers depends on a mean-field interaction among the particles. We derive the hydrodynamic…

概率论 · 数学 2025-09-29 Elena Pulvirenti , Frank Redig , Hidde van Wiechen

We investigate steady-state current fluctuations in two models of run-and-tumble particles (RTPs) on a ring of $L$ sites, for \textit{arbitrary} tumbling rate $\gamma=\tau_p^{-1}$ and density $\rho$; model I consists of standard hardcore…

统计力学 · 物理学 2024-04-17 Tanmoy Chakraborty , Punyabrata Pradhan

Statistical-mechanical models often exhibit a dimension-dependent solvability: in 1D, exact solutions are straightforward; in 2D, solutions are exact but require nontrivial derivations; and in 3D, closed-form solutions are typically…

统计力学 · 物理学 2025-06-16 Derek Frydel

We study the extreme value statistics of a run and tumble particle (RTP) in one dimension till its first passage to the origin starting from the position $x_0~(>0)$. This model has recently drawn a lot of interest due to its biological…

统计力学 · 物理学 2022-12-07 Prashant Singh , Saikat Santra , Anupam Kundu