title: Coexistence and critical behavior in a lattice model of competing species.
abstract: In the present paper we study a lattice model of two species competing for the same resources. Monte Carlo simulations for d = 1,2, and 3 show that when resources are easily available both species coexist. However, when the supply of resources is on an intermediate level, the species with slower metabolism becomes extinct. On the other hand, when resources are scarce it is the species with faster metabolism that becomes extinct. The range of coexistence of the two species increases with dimension. We suggest that our model might describe some aspects of the competition between normal and tumor cells. With such an interpretation, examples of tumor remission, recurrence, and different morphologies are presented. In the d = 1 and d = 2 models, we analyze the nature of phase transitions: they are either discontinuous or belong to the directed-percolation universality class, and in some cases they have an active subcritical phase. In the d = 2 case, one of the transitions seems to be characterized by critical exponents that differ from directed-percolation ones, but this transition could be also weakly discontinuous. In the d = 3 version, Monte Carlo simulations are in a good agreement with the solution of the mean-field approximation. This approximation predicts that oscillatory behavior occurs in the present model but only for d ≳ 2. For d ≥ 2, a steady state depends on the initial configuration in some cases.
authors.affiliation: Faculty of Physics, Adam Mickiewicz University, PL-61-614 Poznań, Poland.
authors.forename: Jacek
authors.initials: J
authors.lastname: Wendykier
authors.forename: Adam
authors.initials: A
authors.lastname: Lipowski
authors.forename: António Luis
authors.initials: AL
authors.lastname: Ferreira
mesh_terms: D000818:Animals; D045744:Cell Line, Tumor; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D009010:Monte Carlo Method; D009369:Neoplasms / Q000473:pathology*; D009991:Oscillometry / Q000379:methods; D044367:Phase Transition; D011336:Probability; D012984:Software; D013997:Time Factors