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arXiv 2602.04560cond-mat.stat-mech
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谐振约束跑- tumble 粒子的控制协议

Control protocols for harmonically confined run-and-tumble particles

Institute for Complex Systems, CNR(复杂系统研究所,意大利国家研究委员会)

Marco Baldovin, Alessandro Manacorda

AI总结:

研究通过谐振约束下的跑- tumble 粒子模型,提出时变控制协议以实现系统状态转换,并分析最小工作量的最优策略。

摘要:

跑- tumble 粒子是自驱动非平衡系统研究中最简单的模型之一,为理解非平衡系统提供了理想的实验平台。我们考虑一个理想化的设置,其中这样的粒子受到谐振约束势的作用,外部代理可以随时间改变 tumble 率和陷阱的强度。我们寻找能够将系统引导至指定终点状态的时变控制协议,在规定的时间间隔内完成。为此,我们提出了一种不同于通常描述的动态形式,即无限组常微分方程的描述。基于对这种层次结构的合适闭合,我们讨论了其解并与数值模拟进行比较。我们还寻找能够以最小平均工作量完成任务的协议:该问题可以解析地解决,再次在缓慢(但非准静态)变换的范围内。该解提供了对主动物质系统控制最优策略的深刻见解。

英文摘要:

Run-and-tumble particles constitute one of the simplest models of self-propelled active matter, and provide an ideal playground to the understanding of out-of-equilibrium systems. We consider an idealized setup where one such particle is subject to a harmonic confining potential, and an external agent can vary in time the tumbling rate and the strength of the trap. We search for time-dependent control protocols steering the system between assigned end states, in a prescribed time interval. To this aim, we propose a description of the dynamics, alternative to the usual ones, in the form of an infinite set of ordinary differential equations. Solutions based on a suitable closure of such hierarchy, which we expect to hold true in the limit of long protocol duration, are discussed and compared with numerical simulations. We also look for the protocol completing the task with the minimal work, on average: the problem can be tackled analytically, again in the regime of slow (but not quasi-static) transformations. The solution provides insightful intuition on the optimal strategies for the control of active matter systems.

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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