English

Phase Transition for the Chase-Escape Model on 2D Lattices

Disordered Systems and Neural Networks 2018-07-24 v1 Populations and Evolution

Abstract

Chase-Escape is a simple stochastic model that describes a predator-prey interaction. In this model, there are two types of particles, red and blue. Red particles colonize adjacent empty sites at an exponential rate λR\lambda_{R}, whereas blue particles take over adjacent red sites at exponential rate λB\lambda_{B}, but can never colonize empty sites directly. Numerical simulations suggest that there is a critical value pcp_{c} for the relative growth rate p:=λR/λBp:=\lambda_{R}/\lambda_{B}. When p<pcp<p_{c}, mutual survival of both types of particles has zero probability, and when p>pcp>p_{c} mutual survival occurs with positive probability. In particular, pc0.50p_{c} \approx 0.50 for the square lattice case (Z2\mathbb Z^{2}). Our simulations provide a plausible explanation for the critical value. Near the critical value, the set of occupied sites exhibits a fractal nature, and the hole sizes approximately follow a power-law distribution.

Keywords

Cite

@article{arxiv.1807.08387,
  title  = {Phase Transition for the Chase-Escape Model on 2D Lattices},
  author = {Si Tang and George Kordzakhia and Steven P. Lalley},
  journal= {arXiv preprint arXiv:1807.08387},
  year   = {2018}
}

Comments

6 pages

R2 v1 2026-06-23T03:10:12.765Z