Cyclic competition of four species: Mean-field theory and stochastic evolution

被引:37
作者
Case, S. O. [1 ]
Durney, C. H. [1 ]
Pleimling, M. [1 ]
Zia, R. K. P. [1 ]
机构
[1] Virginia Polytech Inst & State Univ, Dept Phys, Blacksburg, VA 24061 USA
基金
美国国家科学基金会;
关键词
LOTKA-VOLTERRA MODEL; ROCK-PAPER-SCISSORS; PARITY LAW; SYSTEMS; PATTERN; GAME; BIODIVERSITY; DYNAMICS; PROMOTES;
D O I
10.1209/0295-5075/92/58003
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Generalizing the cyclically competing three-species model (often referred to as the rock-paper-scissors game), we consider a simple system of population dynamics without spatial structures that involves four species. Unlike the previous model, the four form alliance pairs which resemble partnership in the game of Bridge. In a finite system with discrete stochastic dynamics, all but 4 of the absorbing states consist of coexistence of a partner-pair. From a master equation, we derive a set of mean-field equations of evolution. This approach predicts complex time dependence of the system and that the surviving partner-pair is the one with the larger product of their strengths (rates of consumption). Simulations typically confirm these scenarios. Beyond that, much richer behavior is revealed, including complicated extinction probabilities and non-trivial distributions of the population ratio in the surviving pair. These discoveries naturally raise a number of intriguing questions, which in turn suggests a variety of future avenues of research, especially for more realistic models of multispecies competition in nature. Copyright (C) EPLA, 2010
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Dynamical Mean-Field Theory for Quantum Chemistry
    Lin, Nan
    Marianetti, C. A.
    Millis, Andrew J.
    Reichman, David R.
    [J]. PHYSICAL REVIEW LETTERS, 2011, 106 (09)
  • [22] Mean-field theory for coarsening faceted surfaces
    Norris, Scott A.
    Watson, Stephen J.
    [J]. PHYSICAL REVIEW E, 2012, 85 (02):
  • [23] Dynamical Mean-Field Theory of Nickelate Superlattices
    Han, M. J.
    Wang, Xin
    Marianetti, C. A.
    Millis, A. J.
    [J]. PHYSICAL REVIEW LETTERS, 2011, 107 (20)
  • [24] Orbital effect of the magnetic field in dynamical mean-field theory
    Acheche, S.
    Arsenault, L. -F.
    Tremblay, A. -M. S.
    [J]. PHYSICAL REVIEW B, 2017, 96 (23)
  • [25] Periodic Solutions in Distribution of Mean-Field Stochastic Differential Equations
    Zhou, Xinping
    Xing, Jiamin
    Jiang, Xiaomeng
    Li, Yong
    [J]. JOURNAL OF STATISTICAL PHYSICS, 2023, 190 (02)
  • [26] Graphop mean-field limits and synchronization for the stochastic Kuramoto model
    Gkogkas, Marios Antonios
    Juettner, Benjamin
    Kuehn, Christian
    Martens, Erik Andreas
    [J]. CHAOS, 2022, 32 (11)
  • [27] Stochastic mean-field formulation of the dynamics of diluted neural networks
    Angulo-Garcia, D.
    Torcini, A.
    [J]. PHYSICAL REVIEW E, 2015, 91 (02):
  • [28] Recursive tree processes and the mean-field limit of stochastic flows
    Mach, Tibor
    Sturm, Anja
    Swart, Jan M.
    [J]. ELECTRONIC JOURNAL OF PROBABILITY, 2020, 25 : 1 - 63
  • [29] MEAN-FIELD APPROXIMATIONS FOR STOCHASTIC POPULATION PROCESSES WITH HETEROGENEOUS INTERACTIONS
    Sridhar, Anirudh
    Kar, Soummya
    [J]. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2023, 61 (06) : 3442 - 3466
  • [30] Characterization of Stochastic Mean-Field Type H-Index
    Ma, Limin
    Li, Yan
    Zhang, Tianliang
    [J]. ASIAN JOURNAL OF CONTROL, 2018, 20 (05) : 1917 - 1927