arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1606.09362cond-mat.stat-mechcond-mat.softnlin.AOq-bio.CB
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交互个体系统中Lévy Walks的出现

Emergence of Lévy Walks in Systems of Interacting Individuals

Sergei Fedotov, Nickolay Korabel

摘要:

最近的实验(G. Ariel等人,Nature Comm.6,8396(2015))揭示了群集细菌的有趣行为:它们从根本上改变了它们的集体运动,从简单的扩散变成了超扩散的Lévy步行动力学。我们引入了一个非线性非马尔可夫持续随机游动模型,解释了超扩散Lévy游动的出现。我们发现,个体之间的排列相互作用可以导致超扩散增长的均方位移和幂律分布的游程长度与无穷大的方差。主要的结果是,超扩散行为出现作为一个非线性的集体现象,而不是由于标准的假设幂律分布的运行距离从一开始。同时,我们发现,排斥/碰撞效应导致密度依赖指数回火的幂律分布。这定性地解释了实验观察到的从超扩散到扩散的转变,随着贻贝密度的增加(M。de Jager等人,程序R. Soc. B 281,20132605(2014))。

英文摘要:

Recent experiments (G. Ariel, et al., Nature Comm. 6, 8396 (2015)) revealed an intriguing behavior of swarming bacteria: they fundamentally change their collective motion from simple diffusion into a superdiffusive Lévy walk dynamics. We introduce a nonlinear non-Markovian persistent random walk model that explains the emergence of superdiffusive Lévy walks. We show that the alignment interaction between individuals can lead to the superdiffusive growth of the mean squared displacement and the power law distribution of run length with infinite variance. The main result is that the superdiffusive behavior emerges as a nonlinear collective phenomenon, rather than due to the standard assumption of the power law distribution of run distances from the inception. At the same time, we find that the repulsion/collision effects lead to the density dependent exponential tempering of power law distributions. This qualitatively explains experimentally observed transition from superdiffusion to the diffusion of mussels as their density increases (M. de Jager et al., Proc. R. Soc. B 281, 20132605 (2014)).

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。

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