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arXiv 2102.10372cond-mat.stat-mechq-bio.QM
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在非均匀区域中俘获一个翻滚运动的粒子:弱噪声极限

Trapping of a run-and-tumble particle in an inhomogeneous domain: the weak noise limit

Paul C Bressloff

摘要:

一维滚动粒子(RTP)在恒定速度的左右移动状态$v$之间随机切换。这种类型的运动出现在细胞生物学的广泛应用中,包括微管或细胞丝的无偏生长和收缩、分子马达的双向运动以及细菌(例如{ \em E. coli}。RTP在非平衡统计物理学界也有更广泛的兴趣,无论是在单粒子水平还是在相互作用的群体水平,它提供了一个简单的活性物质的例子。在本文中,我们使用渐近的方法来计算平均首次通过时间(MFPT)的一维RTP逃脱的有效捕获潜力产生的空间依赖的开关率。这种方法是一个更一般的框架的一部分,用于研究所谓的分段确定性马尔可夫过程(PDMP),其中包括RTP作为一个特殊情况下的亚稳态。

英文摘要:

A one-dimensional run-and-tumble particle (RTP) switches randomly between a left and right moving state of constant speed $v$. This type of motion arises in a wide range of applications in cell biology, including the unbiased growth and shrinkage of microtubules or cytonemes, the bidirectional motion of molecular motors, and the "run-and-tumble" motion of bacteria such as {\em E. coli}. RTPs are also of more general interest within the non-equilibrium statistical physics community, both at the single particle level and at the interacting population level, where it provides a simple example of active matter. In this paper we use asymptotic methods to calculate the mean first passage time (MFPT) for a one-dimensional RTP to escape an effective trapping potential generated by space-dependent switching rates. Such methods are part of a more general framework for studying metastability in so-called piecewise deterministic Markov processes (PDMPs), which include the RTP as a special case.

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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