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自推进粒子从亚稳态的激活逃逸

Activated Escape of a Self-Propelled Particle from a Metastable State.

作者信息

Woillez E, Zhao Y, Kafri Y, Lecomte V, Tailleur J

机构信息

Department of Physics, Technion, Haifa 32000, Israel.

School of Physics and Astronomy and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai 200240, China.

出版信息

Phys Rev Lett. 2019 Jun 28;122(25):258001. doi: 10.1103/PhysRevLett.122.258001.

Abstract

We study the noise-driven escape of active Brownian particles (ABPs) and run-and-tumble particles (RTPs) from confining potentials. In the small noise limit, we provide an exact expression for the escape rate in terms of a variational problem in any dimension. For RTPs in one dimension, we obtain an explicit solution, including the first subleading correction. In two dimensions we solve the escape from a quadratic well for both RTPs and ABPs. In contrast to the equilibrium problem we find that the escape rate depends explicitly on the full shape of the potential barrier, and not only on its height. This leads to a host of unusual behaviors. For example, when a particle is trapped between two barriers it may preferentially escape over the higher one. Moreover, as the self-propulsion speed is varied, the escape route may discontinuously switch from one barrier to the other, leading to a dynamical phase transition.

摘要

我们研究了活性布朗粒子(ABP)和奔跑-翻滚粒子(RTP)在限制势场中受噪声驱动的逃逸问题。在小噪声极限下,我们根据任意维度的变分问题给出了逃逸率的精确表达式。对于一维的RTP,我们得到了一个显式解,包括首个次主导修正。在二维中,我们求解了RTP和ABP从二次阱中的逃逸问题。与平衡问题不同的是,我们发现逃逸率明确依赖于势垒的完整形状,而不仅仅取决于其高度。这导致了许多不寻常的行为。例如,当一个粒子被困在两个势垒之间时,它可能会优先越过较高的势垒逃逸。此外,随着自推进速度的变化,逃逸路径可能会不连续地从一个势垒切换到另一个势垒,从而导致动态相变。

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