arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0801.1798q-bio.PEcond-mat.stat-mechnlin.AOphysics.bio-ph
收藏

循环竞争中移动种群的自组织

Self-Organization of Mobile Populations in Cyclic Competition

Tobias Reichenbach, Mauro Mobilia, Erwin Frey

摘要:

失衡格局的形成是空间扩展的生物多样性生态系统的一个特征。物种的循环竞争提供了有趣的例子,正如“石头剪刀布”游戏所比喻的那样。实验和理论上,这种非传递性的相互作用已经被发现诱导自组织的静态个人到嘈杂的,不规则的集群。然而,仍然缺乏对这种模式的深刻理解和定性。在这里,我们从理论上研究了在石头剪刀布游戏中个体的移动性对空间结构的影响。我们设计了一个定量的方法来分析空间模式的随机时间演化过程中的自我形成。对于最初由May和Leonard引入的范例模型,在相互作用粒子方法中,我们证明了系统的行为-在适当的连续极限中-被一组随机偏微分方程恰当地捕获。研究表明,系统的随机动力学会导致纠缠旋转螺旋波的出现。虽然螺旋的波长和传播速度被证明是准确预测的(确定性)复杂的金斯堡-朗道方程,他们的纠缠结果从固有的随机性质的系统。这些发现和我们的方法有重要的应用,了解噪声模式的形成,例如,在生态和进化背景下,也与(生物)化学反应的动力学有关。

英文摘要:

The formation of out-of-equilibrium patterns is a characteristic feature of spatially-extended, biodiverse, ecological systems. Intriguing examples are provided by cyclic competition of species, as metaphorically described by the `rock-paper-scissors' game. Both experimentally and theoretically, such non-transitive interactions have been found to induce self-organization of static individuals into noisy, irregular clusters. However, a profound understanding and characterization of such patterns is still lacking. Here, we theoretically investigate the influence of individuals' mobility on the spatial structures emerging in rock-paper-scissors games. We devise a quantitative approach to analyze the spatial patterns self-forming in the course of the stochastic time evolution. For a paradigmatic model originally introduced by May and Leonard, within an interacting particle approach, we demonstrate that the system's behavior - in the proper continuum limit - is aptly captured by a set of stochastic partial differential equations. The system's stochastic dynamics is shown to lead to the emergence of entangled rotating spiral waves. While the spirals' wavelength and spreading velocity is demonstrated to be accurately predicted by a (deterministic) complex Ginzburg-Landau equation, their entanglement results from the inherent stochastic nature of the system.These findings and our methods have important applications for understanding the formation of noisy patterns, e.g., in ecological and evolutionary contexts, and are also of relevance for the kinetics of (bio)-chemical reactions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑