A Mathematical Framework for Universal Operators

A Mathematical Framework for Universal Operators develops a substrate‑agnostic mathematical architecture for generative systems by formalizing the operator stack — orientation, separation, constraint, coherence, collapse, identity, duration, and evolution — as regime‑dependent transformations over a state‑space. The paper defines system states, constraint fields, coherence basins, collapse dynamics, identity fixed‑points, duration integrals, and emergent temporal residues, establishing a unified model of stability, transition, persistence, and novelty across physical, cognitive, social, and artificial domains. Constraint acts as the regulator of generative behavior, collapse provides resolution, coherence stabilizes patterns, identity emerges as a fixed‑point, duration measures structural persistence, and time arises as a residue of collapse events. The resulting framework is mathematically tractable, extensible to tensor and manifold formulations, and capable of supporting computational modeling of generative dynamics. Cited lines:

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-27
DOI
https://doi.org/10.5281/zenodo.20971615
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
preprint
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preprint

A Mathematical Framework for Universal Operators

Denis Bailey
Zenodo (CERN European Organization for Nuclear Research)
Nonlinear Dynamics and Pattern Formation
preprint

A Mathematical Framework for Universal Operators

Denis Bailey
preprint en

Abstract

A Mathematical Framework for Universal Operators develops a substrate‑agnostic mathematical architecture for generative systems by formalizing the operator stack — orientation, separation, constraint, coherence, collapse, identity, duration, and evolution — as regime‑dependent transformations over a state‑space. The paper defines system states, constraint fields, coherence basins, collapse dynamics, identity fixed‑points, duration integrals, and emergent temporal residues, establishing a unified model of stability, transition, persistence, and novelty across physical, cognitive, social, and artificial domains. Constraint acts as the regulator of generative behavior, collapse provides resolution, coherence stabilizes patterns, identity emerges as a fixed‑point, duration measures structural persistence, and time arises as a residue of collapse events. The resulting framework is mathematically tractable, extensible to tensor and manifold formulations, and capable of supporting computational modeling of generative dynamics. Cited lines:

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Nonlinear Dynamics and Pattern Formation
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A Mathematical Framework for Universal Operators — Denis Bailey · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS