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arXiv 1111.5369cond-mat.stat-mechmath-phmath.MPnlin.CD
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联合概率分布和涨落定理

Joint probability distributions and fluctuation theorems

Reinaldo García-García, Vivien Lecomte, A. B. Kolton, D. Domínguez

摘要:

我们推导出各种精确的结果马尔可夫系统,自发地放松到一个非平衡稳态,通过使用联合概率分布对称性不同的熵产生分解。的分析方法被施加到不同的问题,如实验误差引起的波动的描述,揭示对称性的关联函数出现在波动耗散关系最近推广到非平衡稳态,也为映射平均值之间不同的基于随机性的动力学合奏。许多已知的波动定理出现作为我们的方法的特殊情况下,特别是两重分解的总熵产生。作为补充,我们还简要回顾和综合了各种波动定理,适用于由朗之万动力学描述的连续系统和服从马尔可夫动力学的离散系统的随机动力学,强调这些结果是如何从系统所遵循的轨迹的动力学熵的不同对称性中出现的。对于朗之万动力学,我们嵌入了具有物理意义的“对偶动力学”,对于马尔可夫系统,我们展示了波动定理如何转化为修正的演化算子的对称性。

英文摘要:

We derive various exact results for Markovian systems that spontaneously relax to a non-equilibrium steady-state by using joint probability distributions symmetries of different entropy production decompositions. The analytical approach is applied to diverse problems such as the description of the fluctuations induced by experimental errors, for unveiling symmetries of correlation functions appearing in fluctuation-dissipation relations recently generalised to non-equilibrium steady-states, and also for mapping averages between different trajectory-based dynamical ensembles. Many known fluctuation theorems arise as special instances of our approach, for particular two-fold decompositions of the total entropy production. As a complement, we also briefly review and synthesise the variety of fluctuation theorems applying to stochastic dynamics of both, continuous systems described by a Langevin dynamics and discrete systems obeying a Markov dynamics, emphasising how these results emerge from distinct symmetries of the dynamical entropy of the trajectory followed by the system For Langevin dynamics, we embed the "dual dynamics" with a physical meaning, and for Markov systems we show how the fluctuation theorems translate into symmetries of modified evolution operators.

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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