The Coupling Factor $\mathcal{F}$. A Comprehensive, Operational Framework for Collective Systems

This document presents a comprehensive, operational framework for the coupling factor $\mathcal{F}$, a topological property that modulates the strength of quantization constraints in complex collective systems. It integrates empirical observations, theoretical derivations, and practical protocols for calculating $\mathcal{F}$ across domains such as neurobiology, thermodynamics, astrophysics, psychology, and sociology. \inflabel{} Preliminary applications suggest that systems with $\mathcal{F}$ in the approximate range $[0.05, 0.15]$ tend to exhibit stable, coherent dynamics; values outside this range correlate with pathological or unstable states. The framework is designed to be immediately usable by researchers with standard computational tools, while providing a clear path for deeper theoretical exploration and experimental validation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-23
DOI
https://doi.org/10.5281/zenodo.20359920
Primary Topic
Functional Brain Connectivity Studies
Type
preprint
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preprint

The Coupling Factor $\mathcal{F}$. A Comprehensive, Operational Framework for Collective Systems

Daniel Avilés Hurtado
Zenodo (CERN European Organization for Nuclear Research)
Functional Brain Connectivity Studies
preprint

The Coupling Factor $\mathcal{F}$. A Comprehensive, Operational Framework for Collective Systems

Daniel Avilés Hurtado
preprint en

Abstract

This document presents a comprehensive, operational framework for the coupling factor $\mathcal{F}$, a topological property that modulates the strength of quantization constraints in complex collective systems. It integrates empirical observations, theoretical derivations, and practical protocols for calculating $\mathcal{F}$ across domains such as neurobiology, thermodynamics, astrophysics, psychology, and sociology. \inflabel{} Preliminary applications suggest that systems with $\mathcal{F}$ in the approximate range $[0.05, 0.15]$ tend to exhibit stable, coherent dynamics; values outside this range correlate with pathological or unstable states. The framework is designed to be immediately usable by researchers with standard computational tools, while providing a clear path for deeper theoretical exploration and experimental validation.

Zenodo (CERN European Organization for Nuclear Research)
Comunidad Autónoma de la Región de Murcia (ES)
Functional Brain Connectivity Studies
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