The convex hull of the run-and-tumble particle in a plane

The convex hull of the run-and-tumble particle in a plane
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平面中奔跑翻滚粒子的凸包

DOI:
10.1088/1742-5468/ab7c5f
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发表时间:
2020
期刊:
Journal of Statistical Mechanics: Theory and Experiment
影响因子:
--
通讯作者:
G. Schehr
G. Schehr
中科院分区:
--
文献类型:
--
作者:
A.K. Hartmann;S.N. Majumdar;H. Schawe;G. Schehr

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我们研究了一个平面的运行和翻滚粒子(RTP),也被称为“持久的随机行走”,其中的粒子/步行者之间的翻滚事件,它改变其方向随机弹道运行的凸船体的统计特性。我们考虑两个不同的统计系综,其中我们要么固定(i)tumbern的总数,要么固定(ii)时间间隔的总持续时间t。在这两种情况下,我们推导出精确的表达式的平均周长的凸船体,然后比较数值估计发现良好的协议。此外,我们使用马尔可夫链蒙特卡罗技术数值计算周长的完整分布,在两个集合中,探测分布的远尾,精度小于10− 100。这也使我们能够描述导致这些分布尾部的罕见事件。
We study the statistical properties of the convex hull of a planar run-and-tumble particle (RTP), also known as the'persistent random walk', where the particle/walker runs ballistically between tumble events at which it changes its direction randomly. We consider two different statistical ensembles where we either fix (i) the total number of tumblings n or (ii) the total duration t of the time interval. In both cases, we derive exact expressions for the average perimeter of the convex hull and then compare to numerical estimates finding excellent agreement. Further, we numerically compute the full distribution of the perimeter using Markov chain Monte Carlo techniques, in both ensembles, probing the far tails of the distribution, up to a precision smaller than 10− 100. This also allows us to characterize the rare events that contribute to the tails of these distributions.
DOI: 10.1103/physreve.97.062159
发表时间: 2018
期刊: Physical review. E
影响因子: --
作者:
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期刊: Journal of Statistical Mechanics: Theory and Experiment
影响因子: --
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影响因子: 1.7
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