Thermodynamic Theory of Macrosystems: Entropy Production as a Metric

The article considers the description of a macrosystem in terms that do not depend on the nature of the macrosystem. The results obtained can be used to describe macrosystem models of thermodynamic processes, and to create interdisciplinary models that take into account interactions of various natures. The macrosystem model is based on its representation in the form of a self-similar oriented weighted graph where the equation of state is fulfilled for each node, which connects extensive variables. One of the extensive variables is entropy, the maximum of which corresponds to the state of equilibrium. For processes in which fluxes are linearly dependent on driving forces, Onsager's relations are shown to be true, which makes it possible to prove that in the space of stationary processes, entropy production in a closed macrosystem is a metric similar to the Mahalanobis metric, which determines the distance between processes. Zero in such a space indicates reversible processes, and thus the production of entropy shows the degree of irreversibility as the distance from a researched process to a reversible one.

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Publication Details

Journal
Entropy
Published
2025-11-05
DOI
https://doi.org/10.3390/e27111136
Primary Topic
Complex Systems and Dynamics
Type
article
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article

Thermodynamic Theory of Macrosystems: Entropy Production as a Metric

Sergey Amelkin
Entropy
Complex Systems and Dynamics
article

Thermodynamic Theory of Macrosystems: Entropy Production as a Metric

Sergey Amelkin
article en

Abstract

The article considers the description of a macrosystem in terms that do not depend on the nature of the macrosystem. The results obtained can be used to describe macrosystem models of thermodynamic processes, and to create interdisciplinary models that take into account interactions of various natures. The macrosystem model is based on its representation in the form of a self-similar oriented weighted graph where the equation of state is fulfilled for each node, which connects extensive variables. One of the extensive variables is entropy, the maximum of which corresponds to the state of equilibrium. For processes in which fluxes are linearly dependent on driving forces, Onsager's relations are shown to be true, which makes it possible to prove that in the space of stationary processes, entropy production in a closed macrosystem is a metric similar to the Mahalanobis metric, which determines the distance between processes. Zero in such a space indicates reversible processes, and thus the production of entropy shows the degree of irreversibility as the distance from a researched process to a reversible one.

EntropyVol. 27(11)
National Research University of Electronic Technology (RU)
Openalex Percentile: Top 74%
Complex Systems and Dynamics
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Thermodynamic Theory of Macrosystems: Entropy Production as a Metric — Sergey Amelkin · Entropy (2025) | TGRS Research Map | TGRS