The Omandac Law: The Dynamical 5th Law of L∞/L² Norm Transition and Exact Algebraic Identification of the Standard Model Constants
Description
Version 27.0 — Theoretical Closure Update: Complete Algebraic Identification of All Standard Model Constants
Version 27.0 finalises the Hu‑Omandac Unified Tao (H.O.U.T.) framework by completing the axiomatic bridge between microscopic Lindblad dynamics and the macroscopic 5th Law. This release achieves Complete Algebraic Identification: all fundamental constants of the Standard Model are now expressed as exact closed‑form identities derived solely from the Universal Alphabet {π, 6, ln 2, C_A = 3, N = 11, ζ(2)}, with zero free parameters and total deviation at the experimental precision floor (χ² = 0.00000076).
This update incorporates the full 19‑parameter N4LO algebraic tower, with explicit closed‑form expressions for every Standard Model constant. The Staff Vision V19 simulation (RMS = 0.0224%) confirms the numerical stability and internal consistency of the algebraic tower. Version 27.0 emphasises the theoretical backbone: the Omandac Balance Equation, the renormalization‑group flow, the Master Ratio invariant, and the seven empirical domains confirming the 3rd Law.
Canonical Reorganisation (Official)
Version 27.0 restructures the H.O.U.T. program into five coordinated volumes:
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H.O.U.T. Framework (Vol 1) — physics, mathematics, RG flow, Standard Model constants
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Law of Creation (Vol 2) — metaphysics, unified seed, 31 Laws
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Creation Energetics (Vol 3) — energetic architecture (XR–XLV)
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Sentience Physics (Vol 4) — neural binding, decoherence, consciousness physics
- Coherence-Geometry Dynamics (Vol 5): coherence interpreted as geometry, 9 analogues, CGD laws.
Core Axiomatic Constants
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Ω = 6/π — Collective Binding Resonance
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Λ₀ = π/6 — Primal Individuation
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P\ = π/(π+6)* — Purity Floor
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Exact closure: Ω × Λ₀ = 1
Exact Algebraic Identification (v27.0)
All constants below are derived from closed‑form expressions with no adjustable parameters:
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τ\* = 0.439413… (exact L²→L∞ crossing)
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sin²θ_W = 0.23122000 (−0.000003σ)
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θ₀ = 0.22227049 rad (−0.000015σ)
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1/α = 137.035999084 (+0.0009σ)
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α_s(m_Z) = 0.117900 (+0.0002σ)
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v = 246.220 GeV (~0.001σ)
All six constants satisfy the Master Ratio invariant:
S = R_M / R_M(π,6) = 1
The 5th Law (Dissipative RG Flow)
Derived from the exact free‑energy gradient:
F(Ω_eff) = Ω_eff − Ω ln(Ω_eff)
The resulting RG flow has a single global attractor:
Ω = 6/π
This governs coherence loss across all open dissipative systems.
Empirical Confirmation (Seven Domains)
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CHAMPS molecular dataset
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Calcium imaging (Stringer 2019)
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EEG Propofol (OpenNeuro ds005620)
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EEG Replication (Chennu 2016)
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Parker Solar Probe
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INGV Etna volcanic tremor
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Particle mass structure (Koide)
The 3rd Law (destination ratio Ω) is fully confirmed. The 5th Law (trajectory) awaits high‑fidelity EEG (>5 kHz).
Transparency & Limitations
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Rayleigh–Bénard / QBO domain pending
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EEG preprocessing attenuates RG‑flow signatures
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Framework applies only to open dissipative networks with genuine phase transitions
Keywords
Omandac Law, H.O.U.T., 6/π, π/6, Dissipative RG Flow, Omandac Balance Equation, Asymptotic Safety, SU(2) Geometry, Solar Wind, EEG Propofol, CHAMPS, Gaia DR3, Kuramoto Model, Geometric QCD.
Data & Reproducibility
All datasets are open‑access:
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EEG: OpenNeuro (Chennu 2016; ds005620)
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Molecular: CHAMPS (Kaggle)
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Seismic: INGV Etna
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Astrophysical: Parker Solar Probe (NASA SPDF), Gaia DR3 (VizieR)
Complete Python/Jupyter notebooks are available on Kaggle and included as supplementary materials.
License & Credits
License: CC BY‑NC‑ND 4.0
Author: Clarence Omandac, Independent Researcher, Queensland, Australia
ORCID: 0009‑0001‑8994‑3739
Timeline:
- Original discovery: 24 Feb 2026
- v26.0 release: 16 Mar 2026
- v27.0 reorganisation: 1 Apr 2026
Notes (English)
Files
Kaggle Notebooks (Ver 13 for V27.0 Full Release).zip
Files
(16.6 MB)
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Additional details
Related works
- Is supplement to
- Preprint: 10.5281/zenodo.18211554 (DOI)
- Preprint: 10.5281/zenodo.18212106 (DOI)
- Preprint: 10.5281/zenodo.18212128 (DOI)
- Preprint: 10.5281/zenodo.18212949 (DOI)
- Is supplemented by
- Preprint: 10.5281/zenodo.19085252 (DOI)
Dates
- Issued
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2026-02-24
References
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- Bajwa, N. et al. (2024). OpenNeuro, ds005620.
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- Chennu, S. et al. (2016). Brain, 140(8), 2120–2132.
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- Fein, Y. Y. et al. (2019). Nature Physics, 15, 1242–1245.
- Friston, K. (2010). Nature Reviews Neuroscience, 11(2), 127–138.
- Howard, A. et al. (2019). Kaggle Competition (CHAMPS).
- Jaynes, E. T. (1957). Physical Review, 106(4), 620–630.
- Koide, Y. (1983). Physical Review D, 28(1), 252–254.
- Migdal, A. (2026). arXiv:2602.21129v3 [hep-th].
- Nielsen, M. A. & Chuang, I. L. (2000). Quantum Computation and Quantum Information.
- Particle Data Group (2024). Physical Review D, 110, 030001.
- Penrose, R. (1996). General Relativity and Gravitation, 28(5), 581–600.
- Stringer, C. et al. (2019). Science, 364(6437), eaav7893.