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arXiv · 2312.03454

On Thermodynamic Information

Bing Miao·Hong Qian·Yong-Shi Wu
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Abstract

Information based thermodynamic logic is revisited. It consists of two parts: Part A applies the modern theory of probability in which an arbitrary convex function \phi is employed as an analytic "device" to express information as statistical dependency contained in the topological sub-\sigma-algebra structure. Via thermo-doubling, Fenchel-Young equality (FYE) that consists of \phi(x) and its conjugate \psi(y) establishes the notion of equilibrium between x and y through duality symmetry and the principle of maximum entropy/minimum free energy. Part B deals with a given set of repetitive measurements, where an inherent convex function emerges via the mathematics of large deviations. Logarithm-based Shannon entropy with \phi(x)=-\log x figures prominently for i.i.d. sample statistics. Information can be a measure of the agreement between a statistical observation and its theoretical models. Maximum likelihood principle arises here and FYE provides a thermodynamic energetic narrative of recurrent data.

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Bing Miao, Hong Qian, Yong-Shi Wu. 2023-12-06. On Thermodynamic Information. https://arxiv.org/abs/2312.03454

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