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We investigate the motion of a run-and-tumble particle (RTP) in one dimension. We find the exact probability distribution of the particle with and without diffusion on the infinite line, as well as in a finite interval. In the infinite…

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…

Probability · Mathematics 2022-09-27 Medet Nursultanov , William Trad , Justin C. Tzou , Leo Tzou

We investigate the role of stochastic resetting in non-Markovian systems, where memory effects arise due to slow relaxation, rugged energy landscapes, disordered environments, and molecular crowding. Using the celebrated continuous-time…

Statistical Mechanics · Physics 2026-04-13 Suvam Pal , Rahul Das , Arnab Pal

Cover times quantify the speed of exhaustive search. In this work, we compute exactly the mean cover time associated with a one-dimensional Brownian search under exponentially distributed resetting. We also approximate the moments of cover…

Probability · Mathematics 2025-05-13 Samantha Linn , Sean D Lawley

Motivated by recent single molecule studies of proteins sliding on a DNA molecule, we explore the targeting dynamics of N particles ("proteins") sliding diffusively along a line ("DNA") in search of their target site (specific target…

Statistical Mechanics · Physics 2009-11-11 Igor M. Sokolov , Ralf Metzler , Kiran Pant , Mark C. Williams

In this chapter, we review our recent work on first passage time (FPT) problems for absorption by a target whose interface is semipermeable. For pedagogical reasons, we focus on a single Brownian particle searching for a single target in a…

Statistical Mechanics · Physics 2023-11-01 Paul C Bressloff

We present a study of the noise driven escape of an overdamped Brownian particle moving in a cubic potential profile with a metastable state. We analyze the role of the initial conditions of the particle on the enhancement of the average…

Statistical Mechanics · Physics 2009-11-10 A. Fiasconaro , D. Valenti , B. Spagnolo

We study the diffusive motion of a test particle in a two-dimensional comb structure consisting of a main backbone channel with continuously distributed side branches, in the presence of stochastic Markovian resetting to the initial…

Statistical Mechanics · Physics 2021-05-19 R. K. Singh , T. Sandev , A. Iomin , R. Metzler

In this paper we consider a (reflected) Brownian motion with broken drift hitting a random boundary. Some dedicated calculations allow us to obtain the formula on the joint Laplace transform of the hitting time and hitting position. These…

Probability · Mathematics 2020-10-14 Zhenwen Zhao , Yuejuan Xi

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.…

Mathematical Physics · Physics 2025-06-18 Tianyu Yuan , Ivan Surovtsev , Megan C. King , Simon G. J. Mochrie

The quantum first-detection problem concerns the statistics of the time at which a system, subject to repeated measurements, is observed in a prescribed target state for the first time. Unlike its classical counterpart, the measurement back…

Statistical Mechanics · Physics 2026-01-21 Giovanni Di Fresco , Aldo Coraggio , Alessandro Silva , Andrea Gambassi

We investigate classic diffusion with the added feature that a diffusing particle is reset to its starting point each time the particle reaches a specified threshold. In an infinite domain, this process is non-stationary and its probability…

Statistical Mechanics · Physics 2021-09-07 B. De Bruyne , J. Randon-Furling , S. Redner

We study the first-passage properties of a jump process with constant drift where jump amplitudes and inter-arrival times follow arbitrary light-tailed distributions with smooth densities. Using a mapping to an effective discrete-time…

Statistical Mechanics · Physics 2026-03-25 Ivan N. Burenev

Stochastic resetting -- the intermittent restart of random processes -- has profoundly reshaped first-passage theory, providing a mechanism to control and optimize completion times. While the influence of resetting on mean first-passage…

Probability · Mathematics 2026-03-27 Juan Antonio Vega Coso

Motivated by the dynamics of resonant neurons we consider a differentiable, non-Markovian random process $x(t)$ and particularly the time after which it will reach a certain level $x_b$. The probability density of this first passage time is…

Statistical Mechanics · Physics 2009-11-11 T. Verechtchaguina , I. M. Sokolov , L. Schimansky-Geier

We study the position distribution of an active Brownian particle (ABP) in the presence of stochastic resetting in two spatial dimensions. We consider three different resetting protocols : (I) where both position and orientation of the…

Statistical Mechanics · Physics 2021-04-20 Vijay Kumar , Onkar Sadekar , Urna Basu

Stochastic resetting is a powerful strategy known to accelerate the first-passage time statistics of stochastic processes. While its effects on Markovian systems are well understood, a general framework for non-Markovian dynamics is still…

Statistical Mechanics · Physics 2025-09-16 Debasish Saha , Rati Sharma

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…

Neurons and Cognition · Quantitative Biology 2015-03-19 Juergen Reingruber , David Holcman

Since diffusion processes arise in so many different fields, efficient tech-nics for the simulation of sample paths, like discretization schemes, represent crucial tools in applied probability. Such methods permit to obtain approximations…

Probability · Mathematics 2017-05-22 Samuel Herrmann , Cristina Zucca

Gated first-passage processes, where completion depends on both hitting a target and satisfying additional constraints, are prevalent across various fields. Despite their significance, analytical solutions to basic problems remain unknown,…

Statistical Mechanics · Physics 2024-09-04 Yuval Scher , Aanjaneya Kumar , M. S. Santhanam , Shlomi Reuveni
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