具有干扰相互作用的一对晶格上连续滚跑粒子的长时间分析

IF 1.2 3区 物理与天体物理 Q3 PHYSICS, MATHEMATICAL
Arnaud Guillin, Leo Hahn, Manon Michel
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引用次数: 0

摘要

跑转粒子(rtp)是活性物质的一个关键模型。它们的特点是线性行进的交替阶段和随机方向重组。通过这种动态行为,它们打破了微观水平上的时间可逆性和能量守恒。它导致了复杂的非平衡现象,如集体运动、模式形成和运动诱导相分离(MIPS)。在这项工作中,我们研究了一对具有干扰相互作用的rtp的两个基本动力学模型,并提供了它们的离散和连续空间描述之间的严格联系。我们证明了当晶格间距消失时,离散模型收敛到环面上的连续RTP模型,该模型由分段确定性马尔可夫过程(PDMP)描述。这证明了离散模型的不变测度收敛于连续模型的不变测度,这揭示了在干扰构型下的有限质量和指数衰减。这表明有效的吸引力,这与MIPS一致。在此基础上,定量地探讨了其收敛性。这种收敛性研究对于理解和描述MIPS如何随着时间的推移而出现至关重要。由于RTP系统是不可逆的,通常的方法可能会失败或仅限于定性结果。相反,我们采用耦合方法来获得更精确的混合时间的非渐近界。因此,这些发现为这些RTP系统的混合时间提供了更深入的理论见解,揭示了持久和扩散制度的存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Long-Time Analysis of a Pair of On-lattice and Continuous Run-and-tumble Particles with Jamming Interactions

Long-Time Analysis of a Pair of On-lattice and Continuous Run-and-tumble Particles with Jamming Interactions

Long-Time Analysis of a Pair of On-lattice and Continuous Run-and-tumble Particles with Jamming Interactions

Run-and-Tumble Particles (RTPs) are a key model of active matter. They are characterized by alternating phases of linear travel and random direction reshuffling. By this dynamic behavior, they break time reversibility and energy conservation at the microscopic level. It leads to complex out-of-equilibrium phenomena such as collective motion, pattern formation, and motility-induced phase separation (MIPS). In this work, we study two fundamental dynamical models of a pair of RTPs with jamming interactions and provide a rigorous link between their discrete- and continuous-space descriptions. We demonstrate that as the lattice spacing vanishes, the discrete models converge to a continuous RTP model on the torus, described by a Piecewise Deterministic Markov Process (PDMP). This establishes that the invariant measures of the discrete models converge to that of the continuous model, which reveals finite mass at jamming configurations and exponential decay away from them. This indicates effective attraction, which is consistent with MIPS. Furthermore, we quantitatively explore the convergence towards the invariant measure. Such convergence study is critical for understanding and characterizing how MIPS emerges over time. Because RTP systems are non-reversible, usual methods may fail or are limited to qualitative results. Instead, we adopt a coupling approach to obtain more accurate, non-asymptotic bounds on mixing times. The findings thus provide deeper theoretical insights into the mixing times of these RTP systems, revealing the presence of both persistent and diffusive regimes.

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来源期刊
Journal of Statistical Physics
Journal of Statistical Physics 物理-物理:数学物理
CiteScore
3.10
自引率
12.50%
发文量
152
审稿时长
3-6 weeks
期刊介绍: The Journal of Statistical Physics publishes original and invited review papers in all areas of statistical physics as well as in related fields concerned with collective phenomena in physical systems.
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