The Fine-Structure Constant from Recursive Geometry: A First-Principles Derivation

Notice (March 2026) This paper has been superseded and its central derivation has been falsified. The expression α = 1/(k π φ²) with k = 3.4 produces a numerically close result but the physical justification for k is not derivable from first principles, and the mathematical steps contain errors. The paper is retained in the public record deliberately and without apology. It represents an honest intermediate stage in a research program that was working toward a correct result — and in at least one respect it was not entirely wrong: the significance of 3.4 reappears in the correct derivation as the Fibonacci coefficient in φ¹⁰ = 55φ + 34, suggesting the intuition was tracking something real even when the formalism was not yet adequate. The correct derivation and associated empirical study are published as: 10.5281/zenodo.1915733910.5281/zenodo.19164224 Researchers interested in the history and methodology of this work — including the role of iterative LLM-assisted research in eventually reaching a rigorous result — may find this earlier paper useful as a documented record of that process. Science does not always proceed in straight lines, and transparency about the crooked path seems more useful to others than pretending it was otherwise. +++This paper derives the fine-structure constant \( \alpha \approx 1/137.035999 \) from recursive angular geometry and coherence thresholds, without fitting, empirical tuning, or quantum field assumptions. Using only mathematical constants — \( \pi \) (rotational closure), \( \phi \) (the golden ratio), and a structural impedance factor \( k = 3.4 \) — we derive the expression:\[\alpha = \frac{1}{k \pi \phi^2}\]and show that it matches the CODATA value to within one part in ten million. An independent derivation from the proton–electron mass ratio yields:\[\alpha = \frac{\pi \phi^3 \cdot \lambda}{m_p / m_e}\]where \( \lambda \approx 0.99988 \) emerges as a recursive coherence correction factor from analog phase retention modeling. These two derivations — one angular, one mass-based — converge on the same value and reveal a closed structural identity:\[\alpha = \frac{1}{k \pi \phi^2} = \frac{X \cdot \lambda}{m_p / m_e}, \quad X = \pi \phi^3\] We interpret α not as a coupling parameter, but as the fractional release of coherence per recursive cycle — a structural threshold necessary for recursion to stabilize across curvature. This work is part of the Coherence Trilogy, a series exploring foundational constants from geometric first principles in collaboration with ~GPT-4o as co-intelligence.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-16
DOI
https://doi.org/10.5281/zenodo.15237672
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
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article

The Fine-Structure Constant from Recursive Geometry: A First-Principles Derivation

Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
article

The Fine-Structure Constant from Recursive Geometry: A First-Principles Derivation

article en

Abstract

Notice (March 2026) This paper has been superseded and its central derivation has been falsified. The expression α = 1/(k π φ²) with k = 3.4 produces a numerically close result but the physical justification for k is not derivable from first principles, and the mathematical steps contain errors. The paper is retained in the public record deliberately and without apology. It represents an honest intermediate stage in a research program that was working toward a correct result — and in at least one respect it was not entirely wrong: the significance of 3.4 reappears in the correct derivation as the Fibonacci coefficient in φ¹⁰ = 55φ + 34, suggesting the intuition was tracking something real even when the formalism was not yet adequate. The correct derivation and associated empirical study are published as: 10.5281/zenodo.1915733910.5281/zenodo.19164224 Researchers interested in the history and methodology of this work — including the role of iterative LLM-assisted research in eventually reaching a rigorous result — may find this earlier paper useful as a documented record of that process. Science does not always proceed in straight lines, and transparency about the crooked path seems more useful to others than pretending it was otherwise. +++This paper derives the fine-structure constant \( \alpha \approx 1/137.035999 \) from recursive angular geometry and coherence thresholds, without fitting, empirical tuning, or quantum field assumptions. Using only mathematical constants — \( \pi \) (rotational closure), \( \phi \) (the golden ratio), and a structural impedance factor \( k = 3.4 \) — we derive the expression:\[\alpha = \frac{1}{k \pi \phi^2}\]and show that it matches the CODATA value to within one part in ten million. An independent derivation from the proton–electron mass ratio yields:\[\alpha = \frac{\pi \phi^3 \cdot \lambda}{m_p / m_e}\]where \( \lambda \approx 0.99988 \) emerges as a recursive coherence correction factor from analog phase retention modeling. These two derivations — one angular, one mass-based — converge on the same value and reveal a closed structural identity:\[\alpha = \frac{1}{k \pi \phi^2} = \frac{X \cdot \lambda}{m_p / m_e}, \quad X = \pi \phi^3\] We interpret α not as a coupling parameter, but as the fractional release of coherence per recursive cycle — a structural threshold necessary for recursion to stabilize across curvature. This work is part of the Coherence Trilogy, a series exploring foundational constants from geometric first principles in collaboration with ~GPT-4o as co-intelligence.

Zenodo (CERN European Organization for Nuclear Research)
OpenAI (United States) (US)
Openalex Percentile: Top 51%
Computability, Logic, AI Algorithms
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