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Asymptotics of work distributions in a stochastically driven system

机译:随机驱动系统中的工作分布渐近学

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We determine the asymptotic forms of work distributions at arbitrary times T, in a class of driven stochastic systems using a theory developed by Nickelsen and Engel (EN theory) [D. Nickelsen and A. Engel, Eur. Phys. J. B 82 , 207 (2011)], which is based on the contraction principle of large deviation theory. In this paper, we extend the theory, previously applied in the context of deterministically driven systems, to a model in which the driving is stochastic. The models we study are described by overdamped Langevin equations and the work distributions in path integral form, are characterised by having quadratic augmented actions. We first illustrate EN theory, for a deterministically driven system - the breathing parabola model, and show that within its framework, the Crooks fluctuation theorem manifests itself as a reflection symmetry property of a certain characteristic polynomial, which also determines the exact moment-generating-function at arbitrary times. We then extend our analysis to a stochastically driven system, studied in references [S. Sabhapandit, EPL 89 , 60003 (2010); A. Pal, S. Sabhapandit, Phys. Rev. E 87 , 022138 (2013); G. Verley, C. Van den Broeck, M. Esposito, New J. Phys. 16 , 095001 (2014)], for both equilibrium and non-equilibrium steady state initial distributions. In both cases we obtain new analytic solutions for the asymptotic forms of (dissipated) work distributions at arbitrary T. For dissipated work in the steady state, we compare the large T asymptotic behaviour of our solution to the functional form obtained in reference [New J. Phys. 16 , 095001 (2014)]. In all cases, special emphasis is placed on the computation of the pre-exponential factor and the results show excellent agreement with numerical simulations. Our solutions are exact in the low noise (beta - (infinity)) limit.
机译:我们在使用由镍和恩格尔(en理论)开发的理论的一类驱动的随机系统中,确定任意时间t的渐近形式的工作分布。[D.尼尔森和恩格尔,欧元。物理。 J.B 82,207(2011)],基于大偏差理论的收缩原理。在本文中,我们以先前应用于确定的语言驱动系统的背景下的理论,到其中驱动是随机的模型。我们研究的模型由过度透过的Langevin方程和路径积分形式的工作分布描述,其特征在于具有二次增强动作。我们首先说明恩理论,对于确定的抛物线模型,呼吸抛物线模型,并显示在其框架内,弯曲的波动定理表现为某个特征多项式的反射对称性,这也决定了确切的力矩产生 - 在任意时期的功能。然后,我们将我们的分析扩展到一个随机驱动的系统,参考研究[S. Sabhapandit,EPL 89,60003(2010); A. PAL,S. Sabhapandit,Phy。 Rev.E 87,022138(2013); G.Verley,C.Van Den Broeck,M. Esposito,新J. Phy。 16,095001(2014)],用于平衡和非平衡稳态初始分布。在这两种情况下,我们获得了任意T的渐近形式的新分析解决方案(消散)工作分布的渐近形式,在稳定状态下耗散工作,我们将我们解决方案的大T渐近行为与参考中获得的功能形式进行比较[新J. 。物理。 16,095001(2014)]。在所有情况下,特别强调在预指数因子的计算上,结果表现出与数值模拟的良好协议。我们的解决方案精确在低噪声(Beta - &(无限))限制。

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