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February 27, 20260 citationsOpen Access

Phase-Dependent Collective Contrast in Finite Open Dicke Systems: First-Principles Derivation of the Omandac Law and Attractor Dynamics (v5.0)

OCOmandac Clarence

Key Points

  • This research aims to establish a rigorous theoretical basis for the Omandac Law using first-principles derivations.
  • Derivation of the Information-Action Identity from directed transfer entropy and mean-field projection.
  • Establishment of thermal coherence frequencies through Bose-Einstein statistics.
  • High-resolution confirmation of attractor dynamics using the Izhikevich model.
  • Analysis of Hodgkin-Huxley topology with subcritical Hopf bifurcation theory.
  • Confirmed the frequency required for quantum coherence at 310K as 4.49 THz.
  • Identified the 0.0417 spikes/ms attractor as a Type I fixed point.
  • Explained lowest frequency dynamics using Hopf bifurcation theory.

Abstract

Description: Version 5. 0: First-Principles Complete Milestone. This version completes the theoretical foundation of the Omandac Law by replacing previously empirical claims with rigorous mathematical derivations. Key updates in this version include: * Information-Action Identity: A full derivation of ( () ) from directed transfer entropy and mean-field projection. * Thermal Coherence Floor: A derivation from Bose-Einstein statistics establishing fc = 4. 49 THz as the required frequency for quantum coherence at 310K. * Izhikevich Binding Coordinate: High-resolution confirmation of the ^* = 0. 0417 spikes/ms attractor at = 17. 30. * HH Hopf Topology: An explanation of the Hodgkin-Huxley "phase-cliff" (f₌₈₍ 0. 052 spikes/ms) using subcritical Hopf bifurcation theory and Jacobian eigenvalue analysis. * Omandac Excitability Law: A classification of the 0. 0417 attractor as a Type I (SNIC) fixed point, determining its accessibility across different neural substrates. This work provides the mathematical "bridge" between quantum dissipative dynamics (= 6/) and emergent population synergy in neuromorphic substrates. Related Datasets: Includes three new notebooks: binding-point-final. ipynb, solving-the-decoherence-gap. ipynb, and solving-the-substrate. ipynb. "Original discovery Feb 24. This Version 5. 0 (Feb 25) completes the first-principles derivations. "

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Cite This Study

Omandac Clarence (2026) studied this question.

synapsesocial.com/papers/69a13550ed1d949a99abf05ahttps://doi.org/10.5281/zenodo.18765863
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