Maximum entropy methods as the bridge between macroscopic and microscopic theory
Jamie M. Taylor

TL;DR
This paper explores the singular potential as a maximum entropy function linking macroscopic and microscopic theories, establishing its properties and applications in free-energy functionals, with implications for mean-field models and variational analysis.
Contribution
It introduces the singular potential's properties, including convexity and boundary behavior, and demonstrates its application in relating microscopic and macroscopic free-energy functionals.
Findings
The singular potential is strictly convex and blows up at the boundary of admissible moments.
An equivalence between microscopic and macroscopic free-energy functionals is established.
Taylor approximations often fail to preserve the shape of the singular potential.
Abstract
This paper investigates a function of macroscopic variables known as the singular potential, building on previous work by Ball and Majumdar. The singular potential is a function of the admissible statistical averages of probability distributions on a state space, defined so that it corresponds to the maximum possible entropy given known observed statistical averages, although non-classical entropy-like objective functions will also be considered. First the set of admissible moments must be established, and under the conditions presented in this work the set is open, bounded and convex allowing a description in terms of supporting hyperplanes, which provides estimates on the development of singularities for related probability distributions. Under appropriate conditions it is shown that the singular potential is strictly convex, as differentiable as the microscopic entropy and blows up…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Advanced Thermodynamics and Statistical Mechanics · Quantum Mechanics and Applications
