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March 12, 20260 citationsOpen Access

Statistical Mechanics as an Admissibility System

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APAndrew John Paton

Key Points

  • To explore statistical mechanics using the admissibility framework of the Paton System, focusing on constrained states.
  • Interpreted statistical mechanics through the lens of the Paton System's admissibility framework.
  • Analyzed microstates as admissible configurations within constrained state space.
  • Explained macrostates as statistical aggregates of admissible states.
  • Clarified the emergence of statistical regularities across physical systems.
  • Established that stable equilibrium occurs in maximally admissible regions.
  • Showed that admissible geometry precedes probabilistic modeling in statistical mechanics.

Abstract

This paper interprets statistical mechanics through the admissibility framework of the Paton System. Instead of treating statistical behaviour purely as a probabilistic distribution of microstates, the framework recognises that only states satisfying the governing constraints of a system are structurally permitted. Microstates therefore correspond to admissible configurations within a constrained state space. Macrostates emerge as statistical aggregates over regions of admissible states, while equilibrium represents stable continuation inside a maximally admissible region. This interpretation clarifies why statistical regularities appear across physical systems: they arise from constraint-defined admissible geometry prior to probabilistic modelling. The work positions statistical mechanics as a structural description of admissible configuration regions under governing constraints rather than unrestricted probabilistic variation.

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Cite This Study

Andrew John Paton (2026) studied this question.

synapsesocial.com/papers/69b2585696eeacc4fcec7ed4https://doi.org/10.5281/zenodo.18917321
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