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具有洛伦兹力的活性布朗粒子的随机重置

Stochastic resetting of active Brownian particles with Lorentz force.

作者信息

Abdoli Iman, Sharma Abhinav

机构信息

Leibniz-Institut für Polymerforschung Dresden, Institut Theorie der Polymere, 01069 Dresden, Germany.

出版信息

Soft Matter. 2021 Feb 15;17(5):1307-1316. doi: 10.1039/d0sm01773f.

Abstract

Equilibrium properties of a system of passive diffusing particles in an external magnetic field are unaffected by Lorentz force. In contrast, active Brownian particles exhibit steady-state phenomena that depend on both the strength and the polarity of the applied magnetic field. The intriguing effects of the Lorentz force, however, can only be observed when out-of-equilibrium density gradients are maintained in the system. To this end, we use the method of stochastic resetting on active Brownian particles in two dimensions by resetting them to the line x = 0 at a constant rate and periodicity in the y direction. Under stochastic resetting, an active system settles into a nontrivial stationary state which is characterized by an inhomogeneous density distribution, polarization and bulk fluxes perpendicular to the density gradients. We show that whereas for a uniform magnetic field the properties of the stationary state of the active system can be obtained from its passive counterpart, novel features emerge in the case of an inhomogeneous magnetic field which have no counterpart in passive systems. In particular, there exists an activity-dependent threshold rate such that for smaller resetting rates, the density distribution of active particles becomes non-monotonic. We also study the mean first-passage time to the x axis and find a surprising result: it takes an active particle more time to reach the target from any given point for the case when the magnetic field increases away from the axis. The theoretical predictions are validated using Brownian dynamics simulations.

摘要

外部磁场中被动扩散粒子系统的平衡性质不受洛伦兹力影响。相比之下,活性布朗粒子表现出依赖于所施加磁场强度和极性的稳态现象。然而,只有当系统中保持非平衡密度梯度时,才能观察到洛伦兹力的有趣效应。为此,我们通过以恒定速率和在y方向上的周期性将二维活性布朗粒子重置到直线x = 0,来使用随机重置方法。在随机重置下,活性系统会进入一个非平凡的稳态,其特征是具有不均匀的密度分布、极化以及垂直于密度梯度的体通量。我们表明,对于均匀磁场,活性系统稳态的性质可以从其被动对应物中获得,而在非均匀磁场的情况下会出现被动系统中没有的新特征。特别是,存在一个依赖于活性的阈值速率,使得对于较小的重置速率,活性粒子的密度分布变得非单调。我们还研究了到x轴的平均首次通过时间,并发现了一个惊人的结果:当磁场远离轴增加时,活性粒子从任何给定位置到达目标所需的时间更长。理论预测通过布朗动力学模拟得到验证。

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