What question did this study set out to answer?

This research aims to analytically evaluate the inverse fine-structure constant through the lens of Modular Substrate Theory (MST).

June 19, 2026Open Access

Analytical Evaluation of the Electromagnetic Coupling Constant via Modular Substrate Vacuum Invariants

Puntos clave

This research aims to analytically evaluate the inverse fine-structure constant through the lens of Modular Substrate Theory (MST).
Formulated the inverse fine-structure constant as a non-perturbative series based on geometric factors and vacuum properties.
Performed Monte Carlo simulations to validate the uniqueness and stability of the master equation.
Developed a computational audit with high precision to ensure result reliability.
Achieved a convergence value of 137.035999206, aligning closely with CODATA 2022 baseline with minimal deviation.
Monte Carlo simulations confirmed the master equation represents a unique global minimum of algorithmic complexity.
Demonstrated significant sensitiveness to micro-perturbations, highlighting the stability of the derived model.

Resumen

Description This deposit contains the preprint manuscript and the complete computational laboratory for the analytical evaluation of the inverse fine-structure constant (^-1) formulated as a deterministic response of the quantum vacuum substrate (Modular Substrate Theory, MST). Conceptual Logic Rather than utilizing empirical data-fitting, this framework treats ^-1 as a renormalization flow originating from a pristine geometric manifold (4³ + ² +). This bare coupling is sequentially screened by the vacuum's fundamental informational impedance (R₅ₔ₍₃ = 2 / (6 3) ), which we derive from the Standard Model Z₆^ (1) global 1-form gauge symmetry and holographic Cantor string dynamics. Key Theoretical Components The Master Equation: We present a non-perturbative series: ^-1 Geometry - ₇₎₋₎₆ₑ₀₏₇₈₂ - ₓ₎ₑₒ₈₎₍₀₋. ^-1 (4³ + ² +) - R₅ₔ₍₃℃4 - (1 + 14) R₅ₔ₍₃⁵ Holographic Partitioning: Implements the Bekenstein-Hawking bound (1/4) projected onto the Z₆ partition space. Topological Scattering: Incorporates the vacuum manifold's torsional cross-section (1 + 1/4) as an infrared fixed-point correction at the fifth-order complexity scale (R₅ₔ₍₃⁵). Metrological Convergence: The formulation yields a result of 137. 035999206. . . , matching the CODATA 2022 baseline with a residual absolute deviation of 1. 5 10^-14. Computational Validation & Falsifiability To demonstrate that this convergence is not a "Look-Elsewhere Effect" (LEE) artifact, this repository provides a 100-digit precision computational audit. Stochastic Search Audit: Monte Carlo simulations (up to 10⁶ syntactic tree structures) confirm that the master equation constitutes a unique global minimum of algorithmic complexity. Non-Perturbative Stability Audit: We demonstrate that the model occupies a steep "phenomenological potential well. " Micro-perturbations (= 10^-6) to the input topological invariants (R₅ₔ₍₃ or the Z₆ scaling) cause the predictive accuracy to collapse by >10⁴ orders of magnitude, effectively falsifying the hypothesis of arbitrary parameter tuning. Contents AnalyticalEvaluationAlpha. pdf: Full manuscript submitted to PTEP (Paper ID: T06182). ValidationSuite. ipynb / ValidationSuite. pdf: Interactive environment for independent replication of all invariants and stochastic audit logs. AlgebraicNaturalness. png: Visual audit map illustrating the structural isolation of the MST result. Endorsement & Peer Review For colleagues in the High Energy Physics (hep-ph) community interested in providing an arXiv endorsement to support this submission, please utilize the following direct link: https: //arxiv. org/auth/endorse? x=JFXY7X Companion Foundational Work: The derivation of the invariants is detailed in Zenodo DOI: 10. 5281/zenodo. 20546608. Last Update: June 2026 | Status: Under Review (PTEP)

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