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    AB model with coalescence: Mean field and Monte Carlo simulations

    Mauricio Girardi* and Marcelo Freitas de Andrade†

    • *Contact author: mauricio.girardi@ufsc.br
    • †Contact author: marcelo.andrade@ufsc.br

    Phys. Rev. E 112, 044138 – Published 21 October, 2025

    DOI: https://doi.org/10.1103/pcw3-zj3l

    Abstract

    We study a competitive two-species (A and B) 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 g and a maximum site occupancy per species, no. 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 (no=1), we find a discontinuous, first-order phase transition at a transition point gc=1. 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 (no≥2), the transition remains first order but occurs for gc<1. Here, the absorbing phase is an infinitely degenerate manifold of disordered, jammed configurations. MC simulations show that the transition point gc increases with no for no≥2. This trend seems to be driven by the role of coalescence as an antisegregation mechanism. As no increases, the system becomes denser, enhancing this mixing effect and thus requiring a stronger dispersal probability (a higher gc) to induce the transition to the segregated absorbing state. In this model, the site's storage capacity strongly alters the macroscopic transition mechanism.

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