A unified framework for divergences, free energies, and Fokker–Planck equations

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Anna L.F. Lucchi , Jean H.Y. Passos , Max Jauregui , Renio S. Mendes
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引用次数: 0

Abstract

Many efforts have been made to explore systems that show significant deviations from predictions related to the standard statistical mechanics. The present work introduces a unified formalism that connects divergences, generalized free energies, generalized Fokker–Planck equations, and H-theorem. This framework is applied here in a range of scenarios, illustrating both established and novel results. In many cases, the approach begins with a free energy functional that explicitly includes a potential energy term, leading to a direct relation between this energy and the stationary solution. Conversely, when a divergence is used as free energy, the associated Fokker–Planck-like equation lacks any explicit dependence on the potential energy, depending instead on the stationary solution. To restore a potential-based interpretation, an additional relation between the stationary solution and the potential energy must be imposed. This duality underlines the flexibility of the formalism and its capacity to adapt to systems where the potential energy is unknown or unnecessary.
散度、自由能和福克-普朗克方程的统一框架
人们已经做出了许多努力来探索那些与标准统计力学有关的预测有显著偏差的系统。本文介绍了一种统一的形式,它连接了散度、广义自由能、广义福克-普朗克方程和h定理。本文将该框架应用于一系列场景,说明了已建立的和新的结果。在许多情况下,该方法从一个明确包含势能项的自由能泛函开始,导致该能量与平稳解之间的直接关系。相反,当散度被用作自由能时,相关的福克-普朗克类方程缺乏对势能的任何显式依赖,而是依赖于平稳解。为了恢复基于势能的解释,必须在静止解和势能之间施加一个附加的关系。这种二元性强调了形式主义的灵活性及其适应势能未知或不必要的系统的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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