arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2106.03385cond-mat.stat-mechmath-phmath.MPmath.PR
收藏

生成受约束的奔跑和翻滚轨迹

Generating constrained run-and-tumble trajectories

Benjamin De Bruyne, Satya N. Majumdar, Gregory Schehr

摘要:

我们提出了一种方法来精确地生成桥梁运行和翻滚的轨迹,这些轨迹被约束为以给定的速度从原点开始,并在固定的时间后以另一个给定的速度返回原点。该方法扩展了有效的朗之万方程的概念,有效的马尔可夫随机过程,如布朗运动,一个非马尔可夫随机过程驱动的电报噪声,指数衰减的相关性。我们得到有效的时空相关的翻滚率,隐含占桥约束。我们将该方法扩展到其他类型的约束运行和翻滚粒子,如游览和蜿蜒。该方法是数值实现,并被证明是非常有效的。

英文摘要:

We propose a method to exactly generate bridge run-and-tumble trajectories that are constrained to start at the origin with a given velocity and to return to the origin after a fixed time with another given velocity. The method extends the concept of effective Langevin equations, valid for Markovian stochastic processes such as Brownian motion, to a non-Markovian stochastic process driven by a telegraphic noise, with exponentially decaying correlations. We obtain effective space-time dependent tumbling rates that implicitly accounts for the bridge constraint. We extend the method to other types of constrained run-and-tumble particles such as excursions and meanders. The method is implemented numerically and is shown to be very efficient.

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。

↑