Encounter-based model of a run-and-tumble particle
arXiv:2209.07293 · doi:10.1088/1742-5468/aca0ed
Abstract
In this paper we extend the encounter-based model of diffusion-mediated surface absorption to the case of an unbiased run-and-tumble particle (RTP) confined to a finite interval and switching between two constant velocity states at a rate . The encounter-based formalism is motivated by the observation that various surface-based reactions are better modeled in terms of a reactivity that is a function of the amount of time that a particle spends in a neighborhood of an absorbing surface, which is specified by a functional known as the boundary local time. The effects of surface reactions are taken into account by identifying the first passage time (FPT) for absorption with the event that the local time crosses some random threshold . In the case of a Brownian particle, the local time is a continuous non-decreasing function of the time . Taking to be an exponential distribution, $Ψ[\ell]=\e^{-κ_0\ell}$, is equivalent to imposing a Robin boundary condition with a constant rate of absorption . One major difference in the encounter-based model of an RTP is that the boundary local time is a now a discrete random variable that counts the number of collisions of the RTP with the boundary. Given this modification, we show that in the case of a geometric distribution , , we recover the RTP analog of the Robin boundary condition. This allows us to solve the boundary value problem (BVP) for the joint probability density for particle position and the local time, and thus incorporate more general models of absorption based on non-geometric distributions .
arXiv comment20 pages, 4 figures
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- Asymptotic analysis and simulation of mean first passage time for active Brownian particles in 1-D
- Trapping of an active Brownian particle at a partially absorbing wall
- Active particle in a harmonic trap driven by a resetting noise: an approach via Kesten variables
- Persistent and anti-Persistent Motion in Bounded and Unbounded Space: Resolution of the First-Passage Problem
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