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February 14, 20260 citationsOpen Access

The Omega Manifold: A 13-Dimensional Geometric Framework Unifying Fundamental Constants, Riemann Zeta Zeros, and Biological Resonance

KBKaan Bozanlı

Key Points

  • This work aims to unify fundamental constants, biological structures, and Riemann zeta zeros within a 13-dimensional geometric framework.
  • Introduced the Omega Manifold as a 13-dimensional hexagonal lattice
  • Developed a logarithmic Lagrangian to describe the system
  • Validated the framework using statistical methods and geometric arguments across multiple domains
  • Achieved 84% exact correspondence for Riemann zeros across 100 evaluations
  • Established 88% correlation with 41 biological molecular structures
  • Derived over 30 fundamental physical constants with errors below 0.01%

Abstract

We present a unified geometric framework—the Omega Manifold—in which fundamental physical constants, the non-trivial zeros of the Riemann zeta function, and biological molecular structures emerge as eigenvalues of a 13-dimensional hexagonal lattice. The theory introduces a logarithmic Lagrangian L_Ω with vacuum Hurst exponent H = 0. 75 corresponding to optimal sphere packing density. We demonstrate that Riemann zeros can be expressed in a basis V_Ω = span√11, √13 with average error below 0. 001%, and establish a closed-form approximation kₙ ≈ 5. 76n/ln (n+φ) + 2. 51√n + 0. 65 for the angular quantization sequence, achieving 84% exact correspondence across 100 zeros. Five independent geometric arguments support the criticality condition Re (s) = 1/2. Validation across 41 biological molecular structures yields 88% correlation with the V_Ω basis. The consistent ~88% success rate observed across all domains is explained by a 7/8 damping theorem derived from Bekenstein entropy bounds, suggesting that the manifold reserves 1/8 of its information capacity for dynamical degrees of freedom. Over 30 fundamental physical constants are derived with errors below 0. 01%. Statistical significance of the framework exceeds 4. 7σ.

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Cite This Study

Kaan Bozanlı (2026) studied this question.

synapsesocial.com/papers/699012032ccff479cfe58b05https://doi.org/10.5281/zenodo.18625852
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