Derivation of the Fine Structure Constant from Information-Theoretic First Principles
Abstract
A derivation of the fine structure constant α from information-theoretic foundations using Conscious Geometry Theory (CGT). Using a single fundamental parameter Y = 7 (universal recursion depth), we derive α⁻¹ = 137.039, achieving 0.0022% agreement with the CODATA 2022 value. Monte Carlo analysis of 10⁶ random formulas demonstrates that achieving this accuracy by chance has probability p < 8×10⁻⁵ (1 in 12,400). The derivation connects electromagnetism to information geometry through the relationship between Y = 7 and π.
Fields of Study & Subjects
Advanced Mathematical Theories and Applications
Relativity and Gravitational Theory
Quantum and Classical Electrodynamics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 25 February 2026
- Language
- EN
- Document type
- Preprint