arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1007.0364cond-mat.stat-mech
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稠密颗粒流体中大质量入侵者的不可逆动力学

Irreversible dynamics of a massive intruder in dense granular fluids

Alessandro Sarracino, Dario Villamaina, Giacomo Gradenigo, Andrea Puglisi

摘要:

本文提出了一个具有指数记忆的广义朗之万方程,用于求解稠密颗粒流体中的大质量入侵者的动力学问题。该模型再现了数值相关和响应函数,违反了平衡涨落耗散关系。在示踪剂速度$V$与周围流体中的自发局部速度场$U$的耦合中识别记忆的来源。这种识别使我们能够测量入侵者的波动熵产生作为$V$和$U$的函数,获得一个整洁的验证波动关系。

英文摘要:

A Generalized Langevin Equation with exponential memory is proposed for the dynamics of a massive intruder in a dense granular fluid. The model reproduces numerical correlation and response functions, violating the equilibrium Fluctuation Dissipation relations. The source of memory is identified in the coupling of the tracer velocity $V$ with a spontaneous local velocity field $U$ in the surrounding fluid. Such identification allows us to measure the intruder's fluctuating entropy production as a function of $V$ and $U$, obtaining a neat verification of the Fluctuation Relation.

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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