Stochastic thermodynamics of Brownian motion in a flowing fluid.

IF 2.2 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS
Jun Wu, Mingnan Ding, Xiangjun Xing
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引用次数: 0

Abstract

We study stochastic thermodynamics of overdamped Brownian motion in a flowing fluid. Unlike some previous papers, we treat the effects of the flow field as a nonconservational driving force acting on the Brownian particle. This allows us to apply the theoretical formalism developed in a recent paper for general nonconservative Langevin dynamics. We define heat and work both at the trajectory level and at the ensemble level, and prove the second law of thermodynamics explicitly. The entropy production is decomposed into a housekeeping part and an excess part, both of which are non-negative at the ensemble level. Fluctuation theorems are derived for the housekeeping work, the excess work, and the total work, which are further verified using numerical simulations. A comparison between our theory and an earlier theory by Speck et al. [Phys. Rev. Lett. 100, 178302 (2008)0031-900710.1103/PhysRevLett.100.178302] is also carried out.

流动液体中布朗运动的随机热力学。
我们研究了流动流体中过阻尼布朗运动的随机热力学。与之前的一些论文不同,我们将流场效应视为作用于布朗粒子的非守恒驱动力。这使我们能够应用最近一篇论文中为一般非守恒朗之文动力学所开发的理论形式。我们在轨迹层面和集合层面定义了热和功,并明确证明了热力学第二定律。熵的产生被分解为内务部分和过剩部分,这两个部分在集合层面上都是非负的。通过数值模拟进一步验证了维持功、多余功和总功的波动定理。我们的理论还与 Speck 等人的早期理论[Phys. Rev. Lett. 100, 178302 (2008)0031-900710.1103/PhysRevLett.100.178302]进行了比较。
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来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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