Local Viability and Global Constraint: Why Stable Systems Fail Within the Paton System

This paper establishes the structural relationship between local viability and global constraint within the Paton System. It demonstrates that local admissibility does not guarantee global continuation. Systems may remain stable within local constraint regions while violating higher-order global constraints that determine persistence. Failure is therefore reinterpreted as a boundary condition arising from global constraint incompatibility rather than local instability. This provides a unified explanation for system collapse across physical, biological, computational, and economic domains, clarifying the role of scale in admissibility and continuation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19351464
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
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article

Local Viability and Global Constraint: Why Stable Systems Fail Within the Paton System

Andrew John Paton
Zenodo (CERN European Organization for Nuclear Research)
Nonlinear Dynamics and Pattern Formation
article

Local Viability and Global Constraint: Why Stable Systems Fail Within the Paton System

Andrew John Paton
article en

Abstract

This paper establishes the structural relationship between local viability and global constraint within the Paton System. It demonstrates that local admissibility does not guarantee global continuation. Systems may remain stable within local constraint regions while violating higher-order global constraints that determine persistence. Failure is therefore reinterpreted as a boundary condition arising from global constraint incompatibility rather than local instability. This provides a unified explanation for system collapse across physical, biological, computational, and economic domains, clarifying the role of scale in admissibility and continuation.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Nonlinear Dynamics and Pattern Formation
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