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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Admissibility and Stability in Statistical Mechanical Systems: A Tier-7 Instantiation within the Paton System

Authors: Paton, Andrew John;

Admissibility and Stability in Statistical Mechanical Systems: A Tier-7 Instantiation within the Paton System

Abstract

Statistical mechanics describes the behaviour of large ensembles of microscopic states through probability distributions and phase-space evolution. Within the Paton System framework, these behaviours can be interpreted structurally as admissibility-constrained recursive state transitions. A system continues only while recursive updates remain compatible with governing constraint sets. When updates leave the admissible region of phase space, instability, transition, or collapse occurs. This paper presents a structural interpretation of statistical mechanical stability within the Paton System by demonstrating that equilibrium states correspond to stable admissibility basins and that phase transitions represent boundary crossings between admissible regions. The work functions as a Tier-7 domain instantiation of the Paton System, illustrating how the framework’s structural laws apply within statistical mechanical systems.

Keywords

Paton System Statistical Mechanics Admissibility Phase Space Stability Recursive Systems Thermodynamics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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