Passage times of fast inhomogeneous immigration processes

In many biophysical systems, key events are triggered when the fastest of many random searchers find a target. Most mathematical models of such systems assume that all searchers are initially present in the search domain, which permits the use of classical extreme value theory. In this paper, we explore kth passage times of inhomogeneous immigration processes where searchers are added to the domain over time either through time inhomogeneous rates or a Yule (pure birth) process. We rigorously prove convergence in distribution and convergence of moments of the kth passage times for both processes as immigration rates grow. In particular, we relate immigration with time inhomogeneous rates to previous work where all searchers are initially present through a coupling argument and demonstrate how immigration through a Yule process can be viewed as a time inhomogeneous immigration process with a random time shift. For Yule immigration, we find that the extreme distributions depart from the classical family of Frechet, Gumbel, and Weibull, and we compare our results to classical theorems on branching Brownian motion. This work offers one of the few examples where extreme value distributions can be obtained exactly for random variables, which are neither independent nor identically distributed.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2025-12-01
DOI
https://doi.org/10.1063/5.0296474
Primary Topic
Diffusion and Search Dynamics
Type
article
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article

Passage times of fast inhomogeneous immigration processes

Sean D. Lawley, Hwai-Ray Tung
Chaos An Interdisciplinary Journal of Nonlinear Science
Diffusion and Search Dynamics
article

Passage times of fast inhomogeneous immigration processes

Sean D. Lawley, Hwai-Ray Tung
article en

Abstract

In many biophysical systems, key events are triggered when the fastest of many random searchers find a target. Most mathematical models of such systems assume that all searchers are initially present in the search domain, which permits the use of classical extreme value theory. In this paper, we explore kth passage times of inhomogeneous immigration processes where searchers are added to the domain over time either through time inhomogeneous rates or a Yule (pure birth) process. We rigorously prove convergence in distribution and convergence of moments of the kth passage times for both processes as immigration rates grow. In particular, we relate immigration with time inhomogeneous rates to previous work where all searchers are initially present through a coupling argument and demonstrate how immigration through a Yule process can be viewed as a time inhomogeneous immigration process with a random time shift. For Yule immigration, we find that the extreme distributions depart from the classical family of Frechet, Gumbel, and Weibull, and we compare our results to classical theorems on branching Brownian motion. This work offers one of the few examples where extreme value distributions can be obtained exactly for random variables, which are neither independent nor identically distributed.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 35(12)
University of Utah (US)
Openalex Percentile: Top 63%
Diffusion and Search Dynamics
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