Equilibrium as Admissibility Collapse into Symmetry

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Authors: Ali Shahid
Cited by: 0

Abstract

Equilibrium is commonly invoked in the analysis of complex adaptive systems, yet its conceptual status remains unclear. It is variously identified with rest, convergence, optimality, or stability, despite these referring to distinct structural properties. This paper isolates the source of this confusion by explicitly separating three routinely conflated structural objects: dynamics, admissibility, and symmetry. Admissibility is formalised as a constraint-defined selection structure specifying viable regions of state space, independent of trajectories or optimisation. Symmetry is treated as a transformation-defined equivalence structure, independent of viability or persistence. Stability is defined as forward invariance of admissibility rather than as a property of states or trajectories. Within this framework, equilibrium is redefined as a structural regime in which admissibility loses selectivity and collapses into symmetry. In equilibrium, admissible futures become equivalent up to symmetry transformations, and constraint satisfaction reduces to symmetry preservation. This characterisation does not presuppose stasis, convergence, optimisation, or thermodynamic balance, and allows for ongoing dynamics within symmetry orbits. The paper further introduces constraint erosion as a structural transformation of admissibility through which symmetry may increase without instability or loss of viability. This provides a principled account of pathological persistence: regimes in which systems remain stable while organisational differentiation and agency degrade. The results are structural rather than mechanistic. They clarify the relations among admissibility, symmetry, stability, and equilibrium at a first-principles level, and delineate the conditions under which persistence and organisation are definable in complex adaptive systems.

Fields of Study & Subjects

Sustainability and Ecological Systems Analysis Chaos Complexity and Education Complex Systems and Dynamics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 January 2026
Document type
Preprint