First-passage processes and the target-based accumulation of resources

TL;DR

This paper models resource accumulation at targets through repeated search-and-capture events, analyzing how geometric factors, degradation, and delays influence the variability and statistics of resource distribution.

Contribution

It introduces a target-centric approach to resource accumulation, applying queuing theory to classical FPT problems to explore higher-order statistics and variability.

Findings

Fano factor varies non-monotonically with parameters

Resource distribution can deviate from Poisson statistics

Geometric and delay factors significantly influence resource variability

Abstract

Random search for one or more targets in a bounded domain occurs widely in nature, with examples ranging from animal foraging to the transport of vesicles within cells. Most theoretical studies take a searcher-centric viewpoint, focusing on the first passage time (FTP) problem to find a target. This single search-and-capture event then triggers a downstream process or provides the searcher with some resource such as food. In this paper we take a target-centric viewpoint, by considering the accumulation of resources in one or more targets due to multiple rounds of search-and-capture events combined with resource degradation; whenever a searcher finds a target it delivers a resource packet to the target, after which it escapes and returns to its initial position. The searcher is then resupplied with cargo and a new search process is initiated after a random delay. It has previously been show how queuing theory can be used to derive general expressions for the steady-state mean and variance of the resulting resource distributions. Here we apply the theory to some classical FPT problems involving diffusion in simple geometries with absorbing boundaries, including concentric spheres, wedge domains, and branching networks. In each case, we determine how the resulting Fano factor depends on the degradation rate, the delay distribution, and various geometric parameters. We thus establish that the Fano factor can deviate significantly from Poisson statistics and exhibits a non-trivial dependence on model parameters, including non-monotonicity and crossover behavior. This indicates the non-trivial nature of the higher-order statistics of resource accumulation.