arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1012.1767cond-mat.stat-mech
收藏

来自均匀化动力学的热力学大涨落

Thermodynamic large fluctuations from uniformized dynamics

David Andrieux

摘要:

大的波动受到了相当大的关注,因为它们编码的信息上的细尺度动态。被称为涨落定理的大偏差关系也捕捉到了关键的非平衡物理性质。本文利用均匀化技术,从离散时间演化的马尔可夫链出发,得到了连续时间马尔可夫过程的热力学大偏差函数。该公式为探索大偏差特性提供了新的理论和数值方法。特别地,自治和非自治过程的时间演化可以用单个泊松率来表示。以这种方式的均匀化过程导致一个简单而有效的方法来模拟随机轨迹,重现确切的通量统计。我们说明了随机泵模型中的电流波动的形式主义。

英文摘要:

Large fluctuations have received considerable attention as they encode information on the fine-scale dynamics. Large deviation relations known as fluctuation theorems also capture crucial nonequilibrium thermodynamical properties. Here we report that, using the technique of uniformization, the thermodynamic large deviation functions of continuous-time Markov processes can be obtained from Markov chains evolving in discrete time. This formulation offers new theoretical and numerical approaches to explore large deviation properties. In particular, the time evolution of autonomous and non-autonomous processes can be expressed in terms of a single Poisson rate. In this way the uniformization procedure leads to a simple and efficient way to simulate stochastic trajectories that reproduce the exact fluxes statistics. We illustrate the formalism for the current fluctuations in a stochastic pump model.

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。

↑