{"title":"随机动力学中的介观和宏观熵平衡方程及其确定性极限","authors":"Hong Qian, Zhongwei Shen","doi":"10.1007/s10955-025-03489-8","DOIUrl":null,"url":null,"abstract":"<div><p>Entropy, its production, and its change in a dynamical system can be understood from either a fully stochastic dynamic description or a deterministic dynamics exhibiting chaotic behaviors. By taking the former approach based on the general diffusion process with diffusion <span>\\(\\alpha ^{-1}\\varvec{D}(\\textbf{x})\\)</span> and drift <span>\\(\\textbf{b}(\\textbf{x})\\)</span>, where <span>\\(\\alpha \\)</span> represents the “size parameter” of a system, we show that there are two distinctly different entropy balance equations. One reads <span>\\(\\textrm{d}S^{(\\alpha )}/\\textrm{d}t = e^{(\\alpha )}_p + Q^{(\\alpha )}_{ex}\\)</span> for all <span>\\(\\alpha \\)</span>. Our key result addresses the asymptotic of the entropy production rate <span>\\(e^{(\\alpha )}_p\\)</span> and heat exchange rate <span>\\(Q^{(\\alpha )}_{ex}\\)</span> up to <span>\\(O(\\tfrac{1}{\\alpha })\\)</span>-corrections as system’s size <span>\\(\\alpha \\rightarrow \\infty \\)</span>. It yields in particular that the “extensive”, leading <span>\\(\\alpha \\)</span>-order terms of <span>\\(e^{(\\alpha )}_p\\)</span> and <span>\\(Q^{(\\alpha )}_{ex}\\)</span> are exactly canceled out. Therefore in the asymptotic limit of <span>\\(\\alpha \\rightarrow \\infty \\)</span>, there is a second, local entropy balance equation <span>\\(\\textrm{d}S/\\textrm{d}t=\\nabla \\cdot \\textbf{b}(\\textbf{x}(t))+\\left( \\varvec{D}:\\varvec{\\varSigma }^{-1}\\right) (\\textbf{x}(t))\\)</span> on the order of <i>O</i>(1), where <span>\\(\\alpha ^{-1}\\varvec{D}(\\textbf{x}(t))\\)</span> represents the randomness generated in the dynamics usually represented by metric entropy, <span>\\(\\alpha ^{-1}\\varvec{\\varSigma }(\\textbf{x}(t))\\)</span> is the covariance matrix of the local Gaussian description at <span>\\(\\textbf{x}(t)\\)</span> that is a solution to the ordinary differential equation <span>\\(\\dot{\\textbf{x}}=\\textbf{b}(\\textbf{x})\\)</span> at time <i>t</i>, and <span>\\(\\varvec{D}:\\varvec{\\varSigma }^{-1}\\)</span> is the Frobenius product of <span>\\(\\varvec{D}\\)</span> and <span>\\(\\varvec{\\varSigma }^{-1}\\)</span>. This latter equation is akin to the notions of volume-preserving conservative dynamics and entropy production in the deterministic dynamic approach to irreversible thermodynamics <i>à la</i> D. Ruelle [55]. Our study follows the rigorous approach and formalism of [28]; the mathematical details with sufficient care are given in the appendices.</p></div>","PeriodicalId":667,"journal":{"name":"Journal of Statistical Physics","volume":"192 8","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mesoscopic and Macroscopic Entropy Balance Equations in a Stochastic Dynamics and Its Deterministic Limit\",\"authors\":\"Hong Qian, Zhongwei Shen\",\"doi\":\"10.1007/s10955-025-03489-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Entropy, its production, and its change in a dynamical system can be understood from either a fully stochastic dynamic description or a deterministic dynamics exhibiting chaotic behaviors. By taking the former approach based on the general diffusion process with diffusion <span>\\\\(\\\\alpha ^{-1}\\\\varvec{D}(\\\\textbf{x})\\\\)</span> and drift <span>\\\\(\\\\textbf{b}(\\\\textbf{x})\\\\)</span>, where <span>\\\\(\\\\alpha \\\\)</span> represents the “size parameter” of a system, we show that there are two distinctly different entropy balance equations. One reads <span>\\\\(\\\\textrm{d}S^{(\\\\alpha )}/\\\\textrm{d}t = e^{(\\\\alpha )}_p + Q^{(\\\\alpha )}_{ex}\\\\)</span> for all <span>\\\\(\\\\alpha \\\\)</span>. Our key result addresses the asymptotic of the entropy production rate <span>\\\\(e^{(\\\\alpha )}_p\\\\)</span> and heat exchange rate <span>\\\\(Q^{(\\\\alpha )}_{ex}\\\\)</span> up to <span>\\\\(O(\\\\tfrac{1}{\\\\alpha })\\\\)</span>-corrections as system’s size <span>\\\\(\\\\alpha \\\\rightarrow \\\\infty \\\\)</span>. It yields in particular that the “extensive”, leading <span>\\\\(\\\\alpha \\\\)</span>-order terms of <span>\\\\(e^{(\\\\alpha )}_p\\\\)</span> and <span>\\\\(Q^{(\\\\alpha )}_{ex}\\\\)</span> are exactly canceled out. Therefore in the asymptotic limit of <span>\\\\(\\\\alpha \\\\rightarrow \\\\infty \\\\)</span>, there is a second, local entropy balance equation <span>\\\\(\\\\textrm{d}S/\\\\textrm{d}t=\\\\nabla \\\\cdot \\\\textbf{b}(\\\\textbf{x}(t))+\\\\left( \\\\varvec{D}:\\\\varvec{\\\\varSigma }^{-1}\\\\right) (\\\\textbf{x}(t))\\\\)</span> on the order of <i>O</i>(1), where <span>\\\\(\\\\alpha ^{-1}\\\\varvec{D}(\\\\textbf{x}(t))\\\\)</span> represents the randomness generated in the dynamics usually represented by metric entropy, <span>\\\\(\\\\alpha ^{-1}\\\\varvec{\\\\varSigma }(\\\\textbf{x}(t))\\\\)</span> is the covariance matrix of the local Gaussian description at <span>\\\\(\\\\textbf{x}(t)\\\\)</span> that is a solution to the ordinary differential equation <span>\\\\(\\\\dot{\\\\textbf{x}}=\\\\textbf{b}(\\\\textbf{x})\\\\)</span> at time <i>t</i>, and <span>\\\\(\\\\varvec{D}:\\\\varvec{\\\\varSigma }^{-1}\\\\)</span> is the Frobenius product of <span>\\\\(\\\\varvec{D}\\\\)</span> and <span>\\\\(\\\\varvec{\\\\varSigma }^{-1}\\\\)</span>. This latter equation is akin to the notions of volume-preserving conservative dynamics and entropy production in the deterministic dynamic approach to irreversible thermodynamics <i>à la</i> D. Ruelle [55]. Our study follows the rigorous approach and formalism of [28]; the mathematical details with sufficient care are given in the appendices.</p></div>\",\"PeriodicalId\":667,\"journal\":{\"name\":\"Journal of Statistical Physics\",\"volume\":\"192 8\",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2025-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Statistical Physics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10955-025-03489-8\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PHYSICS, MATHEMATICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Statistical Physics","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s10955-025-03489-8","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHYSICS, MATHEMATICAL","Score":null,"Total":0}
Mesoscopic and Macroscopic Entropy Balance Equations in a Stochastic Dynamics and Its Deterministic Limit
Entropy, its production, and its change in a dynamical system can be understood from either a fully stochastic dynamic description or a deterministic dynamics exhibiting chaotic behaviors. By taking the former approach based on the general diffusion process with diffusion \(\alpha ^{-1}\varvec{D}(\textbf{x})\) and drift \(\textbf{b}(\textbf{x})\), where \(\alpha \) represents the “size parameter” of a system, we show that there are two distinctly different entropy balance equations. One reads \(\textrm{d}S^{(\alpha )}/\textrm{d}t = e^{(\alpha )}_p + Q^{(\alpha )}_{ex}\) for all \(\alpha \). Our key result addresses the asymptotic of the entropy production rate \(e^{(\alpha )}_p\) and heat exchange rate \(Q^{(\alpha )}_{ex}\) up to \(O(\tfrac{1}{\alpha })\)-corrections as system’s size \(\alpha \rightarrow \infty \). It yields in particular that the “extensive”, leading \(\alpha \)-order terms of \(e^{(\alpha )}_p\) and \(Q^{(\alpha )}_{ex}\) are exactly canceled out. Therefore in the asymptotic limit of \(\alpha \rightarrow \infty \), there is a second, local entropy balance equation \(\textrm{d}S/\textrm{d}t=\nabla \cdot \textbf{b}(\textbf{x}(t))+\left( \varvec{D}:\varvec{\varSigma }^{-1}\right) (\textbf{x}(t))\) on the order of O(1), where \(\alpha ^{-1}\varvec{D}(\textbf{x}(t))\) represents the randomness generated in the dynamics usually represented by metric entropy, \(\alpha ^{-1}\varvec{\varSigma }(\textbf{x}(t))\) is the covariance matrix of the local Gaussian description at \(\textbf{x}(t)\) that is a solution to the ordinary differential equation \(\dot{\textbf{x}}=\textbf{b}(\textbf{x})\) at time t, and \(\varvec{D}:\varvec{\varSigma }^{-1}\) is the Frobenius product of \(\varvec{D}\) and \(\varvec{\varSigma }^{-1}\). This latter equation is akin to the notions of volume-preserving conservative dynamics and entropy production in the deterministic dynamic approach to irreversible thermodynamics à la D. Ruelle [55]. Our study follows the rigorous approach and formalism of [28]; the mathematical details with sufficient care are given in the appendices.
期刊介绍:
The Journal of Statistical Physics publishes original and invited review papers in all areas of statistical physics as well as in related fields concerned with collective phenomena in physical systems.