From equilibrium statistical physics under experimental constraints to macroscopic port-Hamiltonian systems
Judy Najnudel (S3AM), Thomas H\'elie (S3AM), David Roze (S3AM), R\'emy, Muller (S3AM)

TL;DR
This paper bridges microscopic statistical physics with macroscopic port-Hamiltonian systems by deriving macroscopic laws from microscopic descriptions under experimental constraints, illustrating the approach on ideal gas and Ising models.
Contribution
It introduces a method to derive macroscopic port-Hamiltonian systems from microscopic statistical physics considering experimental constraints and partitioning fluctuations.
Findings
Derivation of macroscopic energy as a function of entropy and constraints.
Reformulation of equilibrium statistical physics within a port-Hamiltonian framework.
Strategy for extending to irreversible dissipative systems.
Abstract
This paper proposes to build a bridge between microscopic descriptions of matter with internal energy, composed of many fast interacting particles inside an environment, and their port-Hamiltonian (PH) descriptions at macroscopic scale. The environment, assumed to be slow, is modeled through experimental constraints on macroscopic quantities (e.g. energy, particle number, etc), with a partitioning into two classes: non fluctuating and fluctuating values. The method to derive the PH macroscopic laws is detailed in several steps and illustrated on two standard cases (ideal gas, Ising ferromagnets). It revisits equilibrium statistical physics with a focus on this partitioning. First, the Boltzmann's principle is used to provide the statistic law of the matter. It defines a macroscopic equilibrium characterized by a scalar value, the entropy, together with thermodynamic quantities emerging…
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