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相关论文: Global Optimization of the Mean First Passage Time…

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The determination of the mean first passage time (MFPT) for a Brownian particle in a bounded 2-D domain containing small absorbing traps is a fundamental problem with biophysical applications. The average MFPT is the expected capture time…

统计力学 · 物理学 2020-06-24 Sarafa A. Iyaniwura , Tony Wong , Colin B. Macdonald , Micheal J. Ward

We develop novel numerical methods and perturbation approaches to determine the mean first passage time (MFPT) for a Brownian particle to be captured by either small stationary or mobile traps inside a bounded 2-D confining domain. Of…

数值分析 · 数学 2019-11-20 Sarafa Iyaniwura , Tony Wong , Michael J. Ward , Colin B. Macdonald

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

We present a master equation approach to the \emph{narrow escape time} (NET) problem, i.e. the time needed for a particle contained in a confining domain with a single narrow opening, to exit the domain for the first time. We introduce a…

统计力学 · 物理学 2015-06-05 Félix Rojo , Horacio S. Wio , Carlos E. Budde

We provide an explicit formula for the global mean first-passage time (GMFPT) for random walks in a general graph with a perfect trap fixed at an arbitrary node, where GMFPT is the average of mean first-passage time to the trap over all…

统计力学 · 物理学 2012-09-28 Yuan Lin , Alafate Julaiti , Zhongzhi Zhang

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

We develop a high order asymptotic expansion for the mean first passage time (MFPT) of the capture of Brownian particles by a small elliptical trap in a bounded two dimensional region. This new result describes the effect that trap…

偏微分方程分析 · 数学 2026-04-01 Sanchita Chakraborty , Theodore Kolokolnikov , Alan E. Lindsay

We derive a general exact formula for the mean first passage time (MFPT) from a fixed point inside a planar domain to an escape region on its boundary. The underlying mixed Dirichlet-Neumann boundary value problem is conformally mapped onto…

统计力学 · 物理学 2020-01-03 Denis S. Grebenkov

We derive an approximate formula for the mean first-passage time (MFPT) to a small absorbing target of arbitrary shape inside an elongated domain of a slowly varying axisymmetric profile. For this purpose, the original Poisson equation in…

化学物理 · 物理学 2022-05-06 Denis S. Grebenkov , Alexei T. Skvortsov

We derive an approximate but fully explicit formula for the mean first-passage time (MFPT) to a small absorbing target of arbitrary shape in a general elongated domain in the plane. Our approximation combines conformal mapping, boundary…

统计力学 · 物理学 2021-10-14 Denis S. Grebenkov , Alexei T. Skvortsov

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 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

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

We analyze velocity-jump process models of persistent search for a single target on a bounded domain. The searcher proceeds along ballistic trajectories and is absorbed upon collision with the target boundary. When reaching the domain…

统计力学 · 物理学 2016-06-22 Daniel B. Poll , Zachary P. Kilpatrick

The kinetics of a variety of transport-controlled processes can be reduced to the problem of determining the mean time needed to arrive at a given location for the first time, the so called mean first passage time (MFPT) problem. The…

统计力学 · 物理学 2015-06-11 Aljaz Godec , Ralf Metzler

Many transport processes in ecology, physics and biochemistry can be described by the average time to first find a site or exit a region, starting from an initial position. Typical mathematical treatments are based on formulations that…

偏微分方程分析 · 数学 2025-01-16 Thomas Hillen , Maria R. D'Orsogna , Jacob C. Mantooth , Alan E. Lindsay

In the scenario of the narrow escape problem (NEP) a particle diffuses in a finite container and eventually leaves it through a small "escape window" in the otherwise impermeable boundary, once it arrives to this window and over-passes an…

统计力学 · 物理学 2020-01-03 D. S. Grebenkov , R. Metzler , G. Oshanin

As a basic dynamic feature on complex networks, the property of random walk has received a lot of attention in recent years. In this paper, we first studied the analytical expression of the mean global first passage time (MGFPT) on the…

统计力学 · 物理学 2022-11-23 Zhizhuo Zhang , Bo Wu

We present a general framework, applicable to a broad class of random walks on complex networks, which provides a rigorous lower bound for the mean first-passage time of a random walker to a target site averaged over its starting position,…

统计力学 · 物理学 2015-05-14 V. Tejedor , O. Bénichou , R. Voituriez

We determine the survival probability and first-passage time (FPT) to capture for a harmonically trapped particle, diffusing outside an absorbing spherical boundary by directly solving the differential equation for the survival probability.…

数学物理 · 物理学 2025-06-18 Tianyu Yuan , Ivan Surovtsev , Megan C. King , Simon G. J. Mochrie
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