Jiang Huijun, Xiao Tiejun, Hou Zhonghuai
Hefei National Laboratory for Physical Science at Microscale and Department of Chemical Physics, University of Science and Technology of China, Hefei, Anhui, People's Republic of China.
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Jun;83(6 Pt 1):061144. doi: 10.1103/PhysRevE.83.061144. Epub 2011 Jun 24.
We discuss stochastic thermodynamics (ST) for delayed Langevin systems in this paper. By using the general principles of ST, the first-law-like energy balance and trajectory-dependent entropy s(t) can be well defined in a way that is similar to that in a system without delay. Because the presence of time delay brings an additional entropy flux into the system, the conventional second law (Δs(tot))≥0 no longer holds true, where Δs(tot) denotes the total entropy change along a stochastic path and (·) stands for the average over the path ensemble. With the help of a Fokker-Planck description, we introduce a delay-averaged trajectory-dependent dissipation functional η[χ(t)] which involves the work done by a delay-averaged force F(x,t) along the path χ(t) and equals the medium entropy change Δs(m)[x(t)] in the absence of delay. We show that the total dissipation functional R=Δs+η, where Δs denotes the system entropy change along a path, obeys (R)≥0, which could be viewed as the second law in the delayed system. In addition, the integral fluctuation theorem (e(-R))=1 also holds true. We apply these concepts to a linear Langevin system with time delay and periodic external force. Numerical results demonstrate that the total entropy change (Δs(tot)) could indeed be negative when the delay feedback is positive. By using an inversing-mapping approach, we are able to obtain the delay-averaged force F(x,t) from the stationary distribution and then calculate the functional R as well as its distribution. The second law (R)≥0 and the fluctuation theorem are successfully validated.
本文讨论了延迟朗之万系统的随机热力学(ST)。通过运用ST的一般原理,可以以类似于无延迟系统的方式很好地定义类第一定律的能量平衡和依赖于轨迹的熵s(t)。由于时间延迟的存在给系统带来了额外的熵流,传统的第二定律(Δs(tot))≥0不再成立,其中Δs(tot)表示沿随机路径的总熵变,(·)表示路径系综平均。借助福克 - 普朗克描述,我们引入了一个依赖于轨迹的延迟平均耗散泛函η[χ(t)],它涉及延迟平均力F(x,t)沿路径χ(t)所做的功,并且在无延迟时等于介质熵变Δs(m)[x(t)]。我们表明总耗散泛函R = Δs + η,其中Δs表示沿路径的系统熵变,服从(R)≥0,这可被视为延迟系统中的第二定律。此外,积分涨落定理(e^(-R)) = 1也成立。我们将这些概念应用于具有时间延迟和周期性外力的线性朗之万系统。数值结果表明,当延迟反馈为正时,总熵变(Δs(tot))确实可能为负。通过使用逆映射方法,我们能够从平稳分布中获得延迟平均力F(x,t),然后计算泛函R及其分布。成功验证了第二定律(R)≥0和涨落定理。