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具有多级大偏差结构的随机种群过程的内禀与外禀热力学

Intrinsic and Extrinsic Thermodynamics for Stochastic Population Processes with Multi-Level Large-Deviation Structure.

作者信息

Smith Eric

机构信息

Department of Biology, Georgia Institute of Technology, 310 Ferst Drive NW, Atlanta, GA 30332, USA.

Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan.

出版信息

Entropy (Basel). 2020 Oct 7;22(10):1137. doi: 10.3390/e22101137.

Abstract

A set of core features is set forth as the essence of a thermodynamic description, which derive from large-deviation properties in systems with hierarchies of timescales, but which are not dependent upon conservation laws or microscopic reversibility in the substrate hosting the process. The most fundamental elements are the concept of a macrostate in relation to the large-deviation entropy, and the decomposition of contributions to irreversibility among interacting subsystems, which is the origin of the dependence on a concept of heat in both classical and stochastic thermodynamics. A natural decomposition that is known to exist, into a relative entropy and a housekeeping entropy rate, is taken here to define respectively the thermodynamics of a system and an thermodynamic vector embedding the system in its context. Both intensive and extensive components are functions of Hartley information of the momentary system stationary state, which is information about the joint effect of system processes on its contribution to irreversibility. Results are derived for stochastic chemical reaction networks, including a Legendre duality for the housekeeping entropy rate to thermodynamically characterize fully-irreversible processes on an equal footing with those at the opposite limit of detailed-balance. The work is meant to encourage development of inherent thermodynamic descriptions for rule-based systems and the living state, which are not conceived as reductive explanations to heat flows.

摘要

一组核心特征被阐述为热力学描述的本质,这些特征源自具有时间尺度层次结构的系统中的大偏差性质,但不依赖于承载该过程的基质中的守恒定律或微观可逆性。最基本的要素是与大偏差熵相关的宏观态概念,以及相互作用子系统之间不可逆性贡献的分解,这是经典热力学和随机热力学中对热概念依赖的起源。这里采用一种已知存在的自然分解,即分解为相对熵和维持熵率,分别定义系统的热力学以及将系统嵌入其环境中的热力学向量。强度分量和广延分量都是瞬时系统稳态的哈特利信息的函数,该信息是关于系统过程对其不可逆性贡献的联合效应的信息。推导了随机化学反应网络的结果,包括维持熵率的勒让德对偶性,以便在与处于详细平衡相反极限的过程同等基础上对完全不可逆过程进行热力学表征。这项工作旨在鼓励为基于规则的系统和生命状态开发内在的热力学描述,这些描述并非被视为对热流的还原解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17b7/7597283/38595106161f/entropy-22-01137-g001.jpg

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