Emergent Regime Geometry in Dynamical Systems: A Curvature-Based Informational Perspective

This preprint investigates curvature-like observables extracted from embedded dynamical trajectories as descriptors of metastable regime structure in complex systems. The work combines empirical analysis with a conceptual information-theoretic framework, suggesting a hierarchical interpretation in which regime organization constitutes the dominant structural level, while curvature acts as a secondary observable induced by underlying correlation constraints. The manuscript should be interpreted as a research preprint and not as a fully validated microscopic theory.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-24
DOI
https://doi.org/10.5281/zenodo.20835024
Primary Topic
Quantum chaos and dynamical systems
Type
preprint
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preprint

Emergent Regime Geometry in Dynamical Systems: A Curvature-Based Informational Perspective

Andrea Correnti
Zenodo (CERN European Organization for Nuclear Research)
Quantum chaos and dynamical systems
preprint

Emergent Regime Geometry in Dynamical Systems: A Curvature-Based Informational Perspective

Andrea Correnti
preprint en

Abstract

This preprint investigates curvature-like observables extracted from embedded dynamical trajectories as descriptors of metastable regime structure in complex systems. The work combines empirical analysis with a conceptual information-theoretic framework, suggesting a hierarchical interpretation in which regime organization constitutes the dominant structural level, while curvature acts as a secondary observable induced by underlying correlation constraints. The manuscript should be interpreted as a research preprint and not as a fully validated microscopic theory.

Zenodo (CERN European Organization for Nuclear Research)
Quantum chaos and dynamical systems
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Emergent Regime Geometry in Dynamical Systems: A Curvature-Based Informational Perspective — Andrea Correnti · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS