Is the QED Running a Slice of Geometric Modes? A Zero-Fit Fingerprint Test

This paper uses a zero-fit inversion to test the proposition that the α running curve computed from the geometric modes of the original paper [1] is isomorphic to the QED 1–5 loop α running curve. The α sequence computed in [1] in order of the mode index L (L = 1–330) is inverted to the energy scale μ using standard β-function coefficients from the literature (consistent with the experimental running); this paper examines the segment-by-segment shape isomorphism between ln(μ) and the geometric-side ln(u), where u is the first nonzero root of j_L (ground state, L = 1–330). Since the inversion is reversible, this test is equivalent to an indirect verification of the original proposition. The segmental residuals of the last 5 segments are ≤ 2%, and the variation of each metric across 1–5 loops is < 1.5%. Five classes of fingerprint metrics (DTW, derivative, inflection point, curvature, segmental residual) and three steepness metrics (front-segment slope ratio, sagitta-to-chord ratio relative difference, crossing point) all indicate that the two sequences are isomorphic in shape, with the 5-loop case serving as supplementary verification. The results support, at the methodological level defined in §1.3, the shape-level validity of the original proposition; this paper does not claim mechanistic identity (shape isomorphism is used in a weak sense; see §1.1). The author is also the proposer of that proposition and does not claim third-party independence; the validity of the verification rests on the reproducibility of the computational process, not on the identity of the verifier.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-05
DOI
https://doi.org/10.5281/zenodo.23970575
Primary Topic
Advanced Mathematical Theories and Applications
Type
preprint
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preprint

Is the QED Running a Slice of Geometric Modes? A Zero-Fit Fingerprint Test

shiwei Xu
Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
preprint

Is the QED Running a Slice of Geometric Modes? A Zero-Fit Fingerprint Test

shiwei Xu
preprint en

Abstract

This paper uses a zero-fit inversion to test the proposition that the α running curve computed from the geometric modes of the original paper [1] is isomorphic to the QED 1–5 loop α running curve. The α sequence computed in [1] in order of the mode index L (L = 1–330) is inverted to the energy scale μ using standard β-function coefficients from the literature (consistent with the experimental running); this paper examines the segment-by-segment shape isomorphism between ln(μ) and the geometric-side ln(u), where u is the first nonzero root of j_L (ground state, L = 1–330). Since the inversion is reversible, this test is equivalent to an indirect verification of the original proposition. The segmental residuals of the last 5 segments are ≤ 2%, and the variation of each metric across 1–5 loops is < 1.5%. Five classes of fingerprint metrics (DTW, derivative, inflection point, curvature, segmental residual) and three steepness metrics (front-segment slope ratio, sagitta-to-chord ratio relative difference, crossing point) all indicate that the two sequences are isomorphic in shape, with the 5-loop case serving as supplementary verification. The results support, at the methodological level defined in §1.3, the shape-level validity of the original proposition; this paper does not claim mechanistic identity (shape isomorphism is used in a weak sense; see §1.1). The author is also the proposer of that proposition and does not claim third-party independence; the validity of the verification rests on the reproducibility of the computational process, not on the identity of the verifier.

Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
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Is the QED Running a Slice of Geometric Modes? A Zero-Fit Fingerprint Test — shiwei Xu · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS