Attraction properties for general urn processes and applications to a class of interacting reinforced particle systems
Jiro Akahori, Andrea Collevecchio, Timothy Garoni, Kais Hamza

TL;DR
This paper investigates the attraction properties of a broad class of urn models and applies these findings to analyze localization in interacting reinforced random walks on polygons, revealing conditions for eventual dominance of a single color.
Contribution
It introduces a new general result for urn models with complex reinforcement rules and applies it to interacting particle systems, advancing understanding of localization phenomena.
Findings
In certain conditions, one color in the urn is eventually chosen only finitely often.
The study establishes attraction properties for a wide class of urn models with external influences.
Application to interacting reinforced random walks shows localization behavior under mild assumptions.
Abstract
We study a system of interacting reinforced random walks defined on polygons. At each stage, each particle chooses an edge to traverse which is incident to its position. We allow the probability of choosing a given edge to depend on the sum of, the number of times that particle traversed that edge, a quantity which depends on the behaviour of the other particles, and possibly external factors. We study localization properties of this system and our main tool is a new result we establish for a very general class of urn models. More specifically, we study attraction properties of urns composed of balls with two distinct colors which evolve as follows. At each stage a ball is extracted. The probability of picking a ball of a certain color evolves in time. This evolution may depend not only on the composition of the urn but also on external factors or internal ones depending on the history…
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Taxonomy
TopicsMathematical Biology Tumor Growth · Diffusion and Search Dynamics · Cellular Mechanics and Interactions
