<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 <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq1.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="67" /> </InlineMediaObject> <EquationSource Format="TEX">\(\alpha ^{-1}\varvec{D}(\textbf{x})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msup> <mi>α</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> <mrow> <mi mathvariant="bold-italic">D</mi> </mrow> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="bold">x</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> and drift <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq2.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="34" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textbf{b}(\textbf{x})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="bold">b</mi> <mo stretchy="false">(</mo> <mi mathvariant="bold">x</mi> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation>, where <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq3.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="14" /> </InlineMediaObject> <EquationSource Format="TEX">\(\alpha \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>α</mi> </math></EquationSource> </InlineEquation> represents the “size parameter” of a system, we show that there are two distinctly different entropy balance equations. One reads <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq4.gif" Format="GIF" Height="24" Rendition="HTML" Resolution="72" Type="Linedraw" Width="160" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textrm{d}S^{(\alpha )}/\textrm{d}t = e^{(\alpha )}_p + Q^{(\alpha )}_{ex}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mtext>d</mtext> <msup> <mi>S</mi> <mrow> <mo stretchy="false">(</mo> <mi>α</mi> <mo stretchy="false">)</mo> </mrow> </msup> <mo stretchy="false">/</mo> <mtext>d</mtext> <mi>t</mi> <mo>=</mo> <msubsup> <mi>e</mi> <mi>p</mi> <mrow> <mo stretchy="false">(</mo> <mi>α</mi> <mo stretchy="false">)</mo> </mrow> </msubsup> <mo>+</mo> <msubsup> <mi>Q</mi> <mrow> <mi mathvariant="italic">ex</mi> </mrow> <mrow> <mo stretchy="false">(</mo> <mi>α</mi> <mo stretchy="false">)</mo> </mrow> </msubsup> </mrow> </math></EquationSource> </InlineEquation> for all <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq3.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="14" /> </InlineMediaObject> <EquationSource Format="TEX">\(\alpha \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>α</mi> </math></EquationSource> </InlineEquation>. Our key result addresses the asymptotic of the entropy production rate <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq6.gif" Format="GIF" Height="24" Rendition="HTML" Resolution="72" Type="Linedraw" Width="26" /> </InlineMediaObject> <EquationSource Format="TEX">\(e^{(\alpha )}_p\)</EquationSource> <EquationSource Format="MATHML"><math> <msubsup> <mi>e</mi> <mi>p</mi> <mrow> <mo stretchy="false">(</mo> <mi>α</mi> <mo stretchy="false">)</mo> </mrow> </msubsup> </math></EquationSource> </InlineEquation> and heat exchange rate <InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq7.gif" Format="GIF" Height="23" Rendition="HTML" Resolution="72" Type="Linedraw" Width="33" /> </InlineMediaObject> <EquationSource Format="TEX">\(Q^{(\alpha )}_{ex}\)</EquationSource> <EquationSource Format="MATHML"><math> <msubsup> <mi>Q</mi> <mrow> <mi mathvariant="italic">ex</mi> </mrow> <mrow> <mo stretchy="false">(</mo> <mi>α</mi> <mo stretchy="false">)</mo> </mrow> </msubsup> </math></EquationSource> </InlineEquation> up to <InlineEquation ID="IEq8"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq8.gif" Format="GIF" Height="22" Rendition="HTML" Resolution="72" Type="Linedraw" Width="37" /> </InlineMediaObject> <EquationSource Format="TEX">\(O(\tfrac{1}{\alpha })\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>O</mi> <mo stretchy="false">(</mo> <mstyle displaystyle="false" scriptlevel="0"> <mfrac> <mn>1</mn> <mi>α</mi> </mfrac> </mstyle> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation>-corrections as system’s size <InlineEquation ID="IEq9"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq9.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="58" /> </InlineMediaObject> <EquationSource Format="TEX">\(\alpha \rightarrow \infty \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>α</mi> <mo stretchy="false">→</mo> <mi>∞</mi> </mrow> </math></EquationSource> </InlineEquation>. It yields in particular that the “extensive”, leading <InlineEquation ID="IEq10"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq3.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="14" /> </InlineMediaObject> <EquationSource Format="TEX">\(\alpha \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>α</mi> </math></EquationSource> </InlineEquation>-order terms of <InlineEquation ID="IEq11"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq6.gif" Format="GIF" Height="24" Rendition="HTML" Resolution="72" Type="Linedraw" Width="26" /> </InlineMediaObject> <EquationSource Format="TEX">\(e^{(\alpha )}_p\)</EquationSource> <EquationSource Format="MATHML"><math> <msubsup> <mi>e</mi> <mi>p</mi> <mrow> <mo stretchy="false">(</mo> <mi>α</mi> <mo stretchy="false">)</mo> </mrow> </msubsup> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq12"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq7.gif" Format="GIF" Height="23" Rendition="HTML" Resolution="72" Type="Linedraw" Width="33" /> </InlineMediaObject> <EquationSource Format="TEX">\(Q^{(\alpha )}_{ex}\)</EquationSource> <EquationSource Format="MATHML"><math> <msubsup> <mi>Q</mi> <mrow> <mi mathvariant="italic">ex</mi> </mrow> <mrow> <mo stretchy="false">(</mo> <mi>α</mi> <mo stretchy="false">)</mo> </mrow> </msubsup> </math></EquationSource> </InlineEquation> are exactly canceled out. Therefore in the asymptotic limit of <InlineEquation ID="IEq13"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq9.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="58" /> </InlineMediaObject> <EquationSource Format="TEX">\(\alpha \rightarrow \infty \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>α</mi> <mo stretchy="false">→</mo> <mi>∞</mi> </mrow> </math></EquationSource> </InlineEquation>, there is a second, local entropy balance equation <InlineEquation ID="IEq14"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq14.gif" Format="GIF" Height="23" Rendition="HTML" Resolution="72" Type="Linedraw" Width="285" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textrm{d}S/\textrm{d}t=\nabla \cdot \textbf{b}(\textbf{x}(t))+\left( \varvec{D}:\varvec{\varSigma }^{-1}\right) (\textbf{x}(t))\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mtext>d</mtext> <mi>S</mi> <mo stretchy="false">/</mo> <mtext>d</mtext> <mi>t</mi> <mo>=</mo> <mi mathvariant="normal">∇</mi> <mo>·</mo> <mi mathvariant="bold">b</mi> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="bold">x</mi> <mrow> <mo stretchy="false">(</mo> <mi>t</mi> <mo stretchy="false">)</mo> </mrow> <mo stretchy="false">)</mo> </mrow> <mo>+</mo> <mfenced close=")" open="("> <mrow> <mi mathvariant="bold-italic">D</mi> </mrow> <mo>:</mo> <msup> <mrow> <mi mathvariant="bold-italic">Σ</mi> </mrow> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> </mfenced> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="bold">x</mi> <mrow> <mo stretchy="false">(</mo> <mi>t</mi> <mo stretchy="false">)</mo> </mrow> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> on the order of <i>O</i>(1), where <InlineEquation ID="IEq15"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq15.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="85" /> </InlineMediaObject> <EquationSource Format="TEX">\(\alpha ^{-1}\varvec{D}(\textbf{x}(t))\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msup> <mi>α</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> <mrow> <mi mathvariant="bold-italic">D</mi> </mrow> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="bold">x</mi> <mrow> <mo stretchy="false">(</mo> <mi>t</mi> <mo stretchy="false">)</mo> </mrow> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> represents the randomness generated in the dynamics usually represented by metric entropy, <InlineEquation ID="IEq16"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq16.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="85" /> </InlineMediaObject> <EquationSource Format="TEX">\(\alpha ^{-1}\varvec{\varSigma }(\textbf{x}(t))\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msup> <mi>α</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> <mrow> <mi mathvariant="bold-italic">Σ</mi> </mrow> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="bold">x</mi> <mrow> <mo stretchy="false">(</mo> <mi>t</mi> <mo stretchy="false">)</mo> </mrow> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> is the covariance matrix of the local Gaussian description at <InlineEquation ID="IEq17"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq17.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="30" /> </InlineMediaObject> <EquationSource Format="TEX">\(\textbf{x}(t)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="bold">x</mi> <mo stretchy="false">(</mo> <mi>t</mi> <mo stretchy="false">)</mo> </mrow> </math></EquationSource> </InlineEquation> that is a solution to the ordinary differential equation <InlineEquation ID="IEq18"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq18.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="66" /> </InlineMediaObject> <EquationSource Format="TEX">\(\dot{\textbf{x}}=\textbf{b}(\textbf{x})\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mover accent="true"> <mi mathvariant="bold">x</mi> <mo>˙</mo> </mover> <mo>=</mo> <mi mathvariant="bold">b</mi> <mrow> <mo stretchy="false">(</mo> <mi mathvariant="bold">x</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> at time <i>t</i>, and <InlineEquation ID="IEq19"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq19.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="64" /> </InlineMediaObject> <EquationSource Format="TEX">\(\varvec{D}:\varvec{\varSigma }^{-1}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mrow> <mi mathvariant="bold-italic">D</mi> </mrow> <mo>:</mo> <msup> <mrow> <mi mathvariant="bold-italic">Σ</mi> </mrow> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> </mrow> </math></EquationSource> </InlineEquation> is the Frobenius product of <InlineEquation ID="IEq20"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq20.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="21" /> </InlineMediaObject> <EquationSource Format="TEX">\(\varvec{D}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="bold-italic">D</mi> </mrow> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq21"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10955_2025_3489_Article_IEq21.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="33" /> </InlineMediaObject> <EquationSource Format="TEX">\(\varvec{\varSigma }^{-1}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mrow> <mi mathvariant="bold-italic">Σ</mi> </mrow> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> </math></EquationSource> </InlineEquation>. 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 [<CitationRef CitationID="CR55">55</CitationRef>]. Our study follows the rigorous approach and formalism of [<CitationRef CitationID="CR28">28</CitationRef>]; the mathematical details with sufficient care are given in the appendices.</p>

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Mesoscopic and Macroscopic Entropy Balance Equations in a Stochastic Dynamics and Its Deterministic Limit

  • Hong Qian,
  • Zhongwei Shen

摘要

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 \(\alpha ^{-1}\varvec{D}(\textbf{x})\) α - 1 D ( x ) and drift \(\textbf{b}(\textbf{x})\) b ( x ) , where \(\alpha \) α represents the “size parameter” of a system, we show that there are two distinctly different entropy balance equations. One reads \(\textrm{d}S^{(\alpha )}/\textrm{d}t = e^{(\alpha )}_p + Q^{(\alpha )}_{ex}\) d S ( α ) / d t = e p ( α ) + Q ex ( α ) for all \(\alpha \) α . Our key result addresses the asymptotic of the entropy production rate \(e^{(\alpha )}_p\) e p ( α ) and heat exchange rate \(Q^{(\alpha )}_{ex}\) Q ex ( α ) up to \(O(\tfrac{1}{\alpha })\) O ( 1 α ) -corrections as system’s size \(\alpha \rightarrow \infty \) α . It yields in particular that the “extensive”, leading \(\alpha \) α -order terms of \(e^{(\alpha )}_p\) e p ( α ) and \(Q^{(\alpha )}_{ex}\) Q ex ( α ) are exactly canceled out. Therefore in the asymptotic limit of \(\alpha \rightarrow \infty \) α , there is a second, local entropy balance equation \(\textrm{d}S/\textrm{d}t=\nabla \cdot \textbf{b}(\textbf{x}(t))+\left( \varvec{D}:\varvec{\varSigma }^{-1}\right) (\textbf{x}(t))\) d S / d t = · b ( x ( t ) ) + D : Σ - 1 ( x ( t ) ) on the order of O(1), where \(\alpha ^{-1}\varvec{D}(\textbf{x}(t))\) α - 1 D ( x ( t ) ) represents the randomness generated in the dynamics usually represented by metric entropy, \(\alpha ^{-1}\varvec{\varSigma }(\textbf{x}(t))\) α - 1 Σ ( x ( t ) ) is the covariance matrix of the local Gaussian description at \(\textbf{x}(t)\) x ( t ) that is a solution to the ordinary differential equation \(\dot{\textbf{x}}=\textbf{b}(\textbf{x})\) x ˙ = b ( x ) at time t, and \(\varvec{D}:\varvec{\varSigma }^{-1}\) D : Σ - 1 is the Frobenius product of \(\varvec{D}\) D and \(\varvec{\varSigma }^{-1}\) Σ - 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.