First-Passage Observables of $d$-dimensional Confined Jump Processes
J\'er\'emie Klinger, Olivier B\'enichou, Rapha\"el Voituriez

TL;DR
This paper develops a comprehensive framework for calculating first-passage observables of confined $d$-dimensional jump processes, bridging the gap between discrete stochastic dynamics and continuous approximations in complex geometries.
Contribution
It introduces a systematic method to evaluate first-passage observables for $d$-dimensional confined jump processes, addressing limitations of continuous models and providing explicit asymptotic expressions.
Findings
Unified approach for edge and bulk regimes
Explicit asymptotic expressions for key observables
Illustrations with 2D disk and heavy-tailed processes
Abstract
First-passage observables (FPO) are central to understanding stochastic processes in confined domains, with applications spanning chemical reaction kinetics, foraging behavior, and molecular transport. While extensive analytical results exist for continuous processes, discrete jump processes -- crucial for describing empirically observed dynamics -- remain largely unexplored in this context. This paper presents a comprehensive framework to systematically evaluate FPO for -dimensional confined isotropic jump processes, capturing both geometric and dynamical observables. Leveraging the connection between jump processes and their continuous counterparts, we address the limitations of continuous approximations in capturing discrete effects, particularly near absorbing boundaries. Our method unifies FPO calculations across edge and bulk regimes, providing explicit asymptotic expressions…
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Taxonomy
Topicsadvanced mathematical theories · Stochastic processes and financial applications · Mathematical Dynamics and Fractals
