arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1708.09646cond-mat.stat-mechq-bio.PE
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具有人口统计噪声的空间系统仿真

Simulation of Spatial Systems with Demographic Noise

Haim Weissmann, Nadav M. Shnerb, David A. Kessler

摘要:

人口动力学中的人口(散粒)噪声与人口规模的平方根成比例。这个过程非常重要,因为它在零场产生吸收态,但是模拟它,特别是在空间域上,是一项不平凡的任务。在这里,我们比较了两个运营商分裂技术建议模拟相应的朗之万方程,一个由Pechenik和Levine(PL)和其他Dornic,Chaté和Muñoz(DCM)的结果。我们确定了一个令人不安的强偏置对活跃的阶段在DCM的数值方案,偏置,这是不存在的替代方案的PL。这种偏见强烈扭曲的相位图确定通过DCM程序的时间步长的范围内使用这样的模拟。我们查明的根本原因,包括扩散,作为一个恒定的外部源的现场衰减,在随机部分的算法。处理扩散确定性,以消除这种不必要的偏见,同时保持稳定的模拟算法,因此,一个混合的数值技术,其中的DCM方法扩散,但扩散模拟确定性,似乎是最佳的。

英文摘要:

Demographic (shot) noise in population dynamics scales with the square root of the population size. This process is very important, as it yields an absorbing state at zero field, but simulating it, especially on spatial domains, is a non-trivial task. Here we compare the results of two operator-splitting techniques suggested for simulating the corresponding Langevin equation, one by Pechenik and Levine (PL) and the other by Dornic, Chaté and Muñoz (DCM). We identify an anomalously strong bias toward the active phase in the numerical scheme of DCM, a bias which is not present in the alternative scheme of PL. This bias strongly distorts the phase diagram determined via the DCM procedure for the range of time-steps used in such simulations. We pinpoint the underlying cause in the inclusion of the diffusion, treated as an on-site decay with a constant external source, in the stochastic part of the algorithm. Treating the diffusion deterministically is shown to remove this unwanted bias while keeping the simulation algorithm stable, thus a hybrid numerical technique, in which the DCM approach to diffusion is applied but the diffusion is simulated deterministically, appears to be optimal.

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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