Forbidden Symmetry and Budget Constraints: A Geometric Framework for e, e/φ, and Cascade Scaling

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Authors: Elias De Jesus
Cited by: 0

Abstract

This paper presents a geometric framework showing that two structural inputs—flat-torus topology (Euler characteristic χ = 0) and golden-ratio self-similarity—are sufficient to organize a family of constants and scaling relations that recur across statistical mechanics, information theory, and cascade dynamics. The flat torus enforces a minimal triangulation count of 10, establishing a natural variance budget. The crystallographic restriction theorem forbids five-fold symmetry on the torus, yet its algebraic signature survives as the golden ratio φ through the self-similarity constraint x^2 = x + 1. Imposing this constraint on the torus budget uniquely fixes the complementary channel to y = \sqrt{9-\varphi}, which numerically matches Euler’s number e to 0.048%. From this single construction follow, without additional assumptions: the coherence corridor value e/\varphi \approx 1.68, the variance fractions \varphi^2/10 and e^2/10, the cascade amplification exponent N = 4\pi^2/e, and a natural interpretation of the cotangent as the correct corridor coordinate, with exact Ising and Shannon landmarks. The small residual mismatch between e and \sqrt{9-\varphi} produces a dimensionless deficit numerically close to the fine-structure constant α at the 2.8% level, proposed here as a conjectural structural parallel rather than a derivation. No new physics is introduced. All exact steps are mathematical; approximate numerical matches are explicitly labeled with their precision. The framework is intended as a diagnostic and organizational tool, clarifying why certain constants and thresholds appear together across otherwise unrelated domains.

Fields of Study & Subjects

Advanced Mathematical Theories and Applications Quasicrystal Structures and Properties Mathematical Dynamics and Fractals

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 February 2026
Language
EN