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相关论文: Narrow escape and leakage of Brownian particles

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This paper considers the narrow escape problem of a Brownian particle within a three-dimensional Riemannian manifold under the influence of the force field. We compute an asymptotic expansion of mean sojourn time for Brownian particles. As…

概率论 · 数学 2023-07-19 Medet Nursultanov , William Trad , Leo Tzou

We study the narrow escape problem in the disk, which consists in identifying the first exit time and first exit point distribution of a Brownian particle from the ball in dimension 2, with reflecting boundary conditions except on small…

偏微分方程分析 · 数学 2024-04-09 Tony Lelièvre , Mohamad Rachid , Gabriel Stoltz

We present an efficient method to solve the narrow capture and narrow escape problems for the sphere. The narrow capture problem models the equilibrium behavior of a Brownian particle in the exterior of a sphere whose surface is reflective,…

数值分析 · 数学 2021-08-03 Jason Kaye , Leslie Greengard

The narrow escape problem consists of deriving the asymptotic expansion of the solution of a drift-diffusion equation with the Dirichlet boundary condition on a small absorbing part of the boundary and the Neumann boundary condition on the…

偏微分方程分析 · 数学 2010-03-12 Habib Ammari , Kostis Kalimeris , Hyeonbae Kang , Hyundae Lee

When a flux of Brownian particles is injected in a narrow window located on the surface of a bounded domain, these particles diffuse and can eventually escape through a cluster of narrow windows. At steady-state, we compute asymptotically…

偏微分方程分析 · 数学 2024-07-31 Frédéric Paquin-Lefebvre , David Holcman

The narrow escape problem is a first-passage problem concerned with randomly moving particles in a physical domain, being trapped by absorbing surface traps (windows), such that the measure of traps is small compared to the domain size. The…

数学物理 · 物理学 2021-09-15 Vaibhava Srivastava , Alexei Cheviakov

This paper deals with the three-dimensional narrow escape problem in dendritic spine shaped domain, which is composed of a relatively big head and a thin neck. The narrow escape problem is to compute the mean first passage time of Brownian…

数学物理 · 物理学 2017-02-24 Hyundae Lee , Xiaofei Li , Yuliang Wang

The narrow escape problem deals with the calculation of the mean escape time (MET) of a Brownian particle from a bounded domain through a small hole on the domain's boundary. Here we develop a formalism that allows us to evaluate the…

统计力学 · 物理学 2018-03-28 Tal Agranov , Baruch Meerson

The stochastic motion of particles in living cells is often spatially inhomogeneous with a higher effective diffusivity in a region close to the cell boundary due to active transport along actin filaments. As a first step to understand the…

统计力学 · 物理学 2019-09-25 Matthieu Mangeat , Heiko Rieger

Cells have evolved efficient strategies to probe their surroundings and navigate through complex environments. From metastatic spread in the body to swimming cells in porous materials, escape through narrow constrictions - a key component…

生物物理 · 物理学 2021-10-04 Mathieu Souzy , Antoine Allard , Jean-François Louf , Matteo Contino , Idan Tuval , Marco Polin

This paper considers the two-dimensional narrow escape problem in a domain which is composed of a relatively big head and several thin necks. The narrow escape problem is to compute the mean first passage time(MFPT) of a Brownian particle…

数学物理 · 物理学 2023-12-05 Xiaofei Li , Shengqi Lin

A Brownian particle with diffusion coefficient $D$ is confined to a bounded domain of volume $V$ in $\rR^3$ by a reflecting boundary, except for a small absorbing window. The mean time to absorption diverges as the window shrinks, thus…

数学物理 · 物理学 2007-05-23 A. Singer , Z. Schuss , D. Holcman , R. S. Eisenberg

The mean first passage time (MFPT) for a Brownian particle to reach a small target in cellular microdomains is a key parameter for chemical activation. Although asymptotic estimations of the MFPT are available for various geometries, these…

神经元与认知 · 定量生物学 2015-03-19 Juergen Reingruber , David Holcman

Cellular networks are often composed of thin tubules connecting much larger node compartments. These structures serve for active or diffusion transport of proteins. Examples are glial networks in the brain, the endoplasmic reticulum in…

软凝聚态物质 · 物理学 2024-07-31 Frédéric Paquin-Lefebvre , Kanishka Basnayake , David Holcman

A general topic of current interest is the analysis of diffusion problems in singularly perturbed domains with small interior targets or traps (the narrow capture problem). One major application is to intracellular diffusion, where the…

统计力学 · 物理学 2022-04-13 Paul C. Bressloff

The time needed for a particle to exit a confining domain through a small window, called the narrow escape time (NET), is a limiting factor of various processes, such as some biochemical reactions in cells. Obtaining an estimate of the mean…

统计力学 · 物理学 2007-11-22 O. Benichou , R. Voituriez

In this article, we study the narrow capture problem on a Riemannian 2-manifold. This involves the derivation of the mean first passage (sojourn) time of a surface-bound ion modelled as a Brownian particle. We use a layer potential argument…

概率论 · 数学 2022-09-27 Medet Nursultanov , William Trad , Justin C. Tzou , Leo Tzou

We consider Brownian motion in a circular disk $\Omega$, whose boundary $\p\Omega$ is reflecting, except for a small arc, $\p\Omega_a$, which is absorbing. As $\epsilon=|\partial \Omega_a|/|\partial \Omega|$ decreases to zero the mean time…

数学物理 · 物理学 2007-05-23 A. Singer , Z. Schuss , D. Holcman

Intracellular transport in living cells is often spatially inhomogeneous with an accelerated effective diffusion close to the cell membrane and a ballistic motion away from the centrosome due to active transport along actin filaments and…

统计力学 · 物理学 2021-10-22 Matthieu Mangeat , Heiko Rieger

The narrow escape problem concerns the time needed for a diffusing particle to exit a confining domain through a small hole in the boundary. While this problem is now well-understood, determining the escape time for a particle that must…

统计力学 · 物理学 2026-02-26 Victorya Richardson , Yick Hin Ling , Sean D Lawley
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