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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
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Cross-Domain Stability Isomorphism in the Paton System

Authors: Paton, Andrew John;

Cross-Domain Stability Isomorphism in the Paton System

Abstract

Stability and collapse phenomena appear across many scientific and computational domains, including physics, computation, organisational systems, and biological processes. These behaviours are typically studied within domain-specific frameworks, leading to the impression that each field possesses distinct mechanisms of stability and failure. This paper introduces a formal structural result within the Paton System framework: the Cross-Domain Stability Isomorphism. Systems are modelled as recursive state transitions governed by domain-specific constraint sets and admissibility conditions. Continuation occurs only when recursive updates remain compatible with governing constraints. The theorem demonstrates that when recursive update structure and admissibility boundaries are preserved under a structure-preserving mapping between domains, continuation and collapse correspond exactly across those domains. Under these conditions, the systems are stability-isomorphic. This result provides a structural explanation for why stability boundaries recur across distinct scientific domains and establishes a formal basis for interpreting stability behaviour through admissibility conditions governing recursive systems.

Keywords

Paton System Structural Admissibility Regime Stability Cross-Domain Isomorphism Invariant Preservation Load Distribution Philosophy of Science Systems Theory, Paton System System Stability Admissibility Recursive Systems Cross-Domain Isomorphism Constraint Compatibility Structural Stability

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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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