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热力学朗之万方程。

Thermodynamic Langevin equations.

作者信息

Porporato Amilcare, Calabrese Salvatore, Rondoni Lamberto

机构信息

Department of Civil and Environmental Engineering and High Meadows Environmental Institute, <a href="https://ror.org/00hx57361">Princeton University</a>, Princeton, New Jersey 08540, USA.

Department of Biological and Agricultural Engineering, <a href="https://ror.org/01f5ytq51">Texas A &amp; M University</a>, College Station, Texas, USA.

出版信息

Phys Rev E. 2024 Nov;110(5-1):054136. doi: 10.1103/PhysRevE.110.054136.

DOI:10.1103/PhysRevE.110.054136
PMID:39690693
Abstract

The physical significance of the stochastic processes associated to the generalized Gibbs ensembles is scrutinized here with special attention to the thermodynamic fluctuations of small systems. Differently from the so-called stochastic thermodynamics, which starts from stochastic versions of the first and second law of thermodynamics and associates thermodynamic quantities to microscopic variables, here we consider stochastic variability directly in the macroscopic variables. By recognizing the potential structure of the Gibbs ensembles, when expressed as a function of the potential entropy generation, we obtain exact nonlinear thermodynamic Langevin equations (TLEs) for macroscopic variables, with drift expressed in terms of entropic forces. The analysis of the canonical ensemble for an ideal monoatomic gas and the related TLEs show that introducing currents leads to nonequilibrium heat transfer conditions with interesting bounds on entropy production but with no obvious thermodynamic limit. For a colloidal particle under constant force, the TLEs for macroscopic variables are different from those for the microscopic position, typically used in stochastic thermodynamics; while TLEs are consistent with the fundamental equation obtained from the Hamiltonian, stochastic thermodynamics requires isothermal conditions and entropy proportional to position.

摘要

本文详细研究了与广义吉布斯系综相关的随机过程的物理意义,特别关注小系统的热力学涨落。与所谓的随机热力学不同,随机热力学从热力学第一和第二定律的随机版本出发,将热力学量与微观变量联系起来,而在这里我们直接考虑宏观变量的随机变化。通过认识到吉布斯系综的潜在结构,当表示为潜在熵产生的函数时,我们得到了宏观变量的精确非线性热力学朗之万方程(TLEs),其漂移项用熵力表示。对理想单原子气体的正则系综及相关TLEs的分析表明,引入电流会导致非平衡热传递条件,熵产生有有趣的界限,但没有明显的热力学极限。对于在恒力作用下的胶体粒子,宏观变量的TLEs与随机热力学中通常使用的微观位置的TLEs不同;虽然TLEs与从哈密顿量得到的基本方程一致,但随机热力学需要等温条件且熵与位置成比例。

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