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May 7, 2026Open Access

A Phenomenological Approximation of the Inverse Fine-Structure Constant via Z/6Z Topology and Informational Entropy

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Authors

JSJosé Ignacio Peinador Sala

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Overview

Theoretical prediction of fine-structure constant in the standard model suggests new insights into vacuum polarization.

Key Points

  • This research aims to derive the inverse fine-structure constant as an emergent property of information geometry.
  • Developed a closed-form perturbative expansion on a geometric manifold.
  • Conducted Monte Carlo simulations over 10,000 syntactic tree structures for validation.
  • Introduced an Algebraic Naturalness Metric based on Kolmogorov Complexity.
  • The derived value of the fine-structure constant closely matches the CODATA 2022 value.
  • Demonstrated that the proposed equation minimizes algorithmic complexity, confirming predictive stability.

Cite This Study

José Ignacio Peinador Sala (2026) studied this question.

synapsesocial.com/papers/69fbe2f2164b5133a91a2381https://doi.org/10.5281/zenodo.20028236
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Fine-Structure of the Arithmetic Vacuum2026
  2. 2Analytical Evaluation of the Electromagnetic Coupling Constant via Modular Substrate Vacuum Invariants2026
  3. 3Derivation of the Fine Structure Constant: The 10-Decimal Topological Lock2026
  4. 4On the Pure Geometric Origin of the Fine-Structure Constant via Spontaneous Topological Doubling2026
  5. 5Pure Geometric First-Principles Derivation of the Fine-Structure Constant alpha^-1 ≈ 137.035999 via 3D Holographic Topology and the 2^-24 Machine Epsilon Theorem2026