AB model with coalescence: Mean field and Monte Carlo simulations
Phys. Rev. E 112, 044138 – Published 21 October, 2025
DOI: https://doi.org/10.1103/pcw3-zj3l
Abstract
We study a competitive two-species ( and ) reaction-diffusion model on a bipartite square lattice, where cooperative interactions lead to either particle coalescence or dispersal. The model is controlled by a coalescence-dispersion parameter and a maximum site occupancy per species, . We investigate the system's phase transitions from an active to an absorbing state using both a site-based mean field approximation and Monte Carlo (MC) simulations. For single occupancy , we find a discontinuous, first-order phase transition at a transition point . The mean field calculations reveal a manifold of solutions at this point, leading to bistability between an active phase and an ordered, chessboardlike absorbing state—a mechanism of dynamic bistability confirmed by simulations. For multi-occupancy cases , the transition remains first order but occurs for . Here, the absorbing phase is an infinitely degenerate manifold of disordered, jammed configurations. MC simulations show that the transition point increases with for . This trend seems to be driven by the role of coalescence as an antisegregation mechanism. As increases, the system becomes denser, enhancing this mixing effect and thus requiring a stronger dispersal probability (a higher ) to induce the transition to the segregated absorbing state. In this model, the site's storage capacity strongly alters the macroscopic transition mechanism.