Local Time Statistics and Permeable Barrier Crossing: from Poisson to Birth-Death Diffusion Equations
Toby Kay, Luca Giuggioli

TL;DR
This paper develops a microscopic model linking barrier crossing phenomena to measurable observables, deriving exact distributions and equations for permeable barriers, and analyzing their effects on transport and steady states.
Contribution
It introduces a novel representation of Brownian motion with permeable barriers, deriving exact crossing distributions and birth-death diffusion equations for asymmetric permeabilities.
Findings
Derived exact crossing number distribution
Identified permeability as an experimentally measurable parameter
Showed asymmetric barriers induce noise-driven drift and non-equilibrium steady states
Abstract
Barrier crossing is a widespread phenomenon across natural and engineering systems. While an abundant cross-disciplinary literature on the topic has emerged over the years, the stochastic underpinnings of the process are yet to be linked quantitatively to easily measurable observables. We bridge this gap by developing a microscopic representation of Brownian motion in the presence of permeable barriers that allows to treat barriers with constant asymmetric permeabilities. Our approach relies upon reflected Brownian motion and on the crossing events being Poisson processes subordinated by the local time of the underlying motion at the barrier. Within this paradigm we derive the exact expression for the distribution of the number of crossings, and find an experimentally measurable statistical definition of permeability. We employ Feynman-Kac theory to derive and solve a set of governing…
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Taxonomy
TopicsDiffusion and Search Dynamics
