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May 11, 20260 citationsOpen Access

A Reproducible Certificate Framework for Conditional Lower-Bound Quantification of Spectral Mass Gaps

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HIHidetoshi Itakura

Key Points

  • This work aims to create a reproducible framework for quantifying lower bounds of spectral mass gaps using formal methods.
  • Developed a certificate framework incorporating spectral assumptions and physical-sector identification.
  • Applied the framework to a four-dimensional SU(3) pure Yang-Mills reference sector using specific energy intervals.
  • Utilized integer MeV interval arithmetic for calculating conditional lower bounds.
  • Established a conditional lower bound of 1500 MeV for spectral mass gaps under defined conditions.
  • Demonstrated that S(m_star_abs) must meet or exceed 1500 MeV when S(m_cert_abs) is affirmed.
  • Clarified that the framework does not provide an unconditional solution for the Yang-Mills mass gap problem.

Abstract

This preprint presents a reproducible certificate framework for conditional lower-bound quantification of spectral mass gaps. The framework separates abstract spectral assumptions, physical-sector identification, monotone scale binding, integer MeV interval arithmetic, and claim-boundary control. The central result is a machine-checkable conditional theorem: if an abstract certified lower witness satisfies mcertₐbs ≤ mₛtarₐbs, and a monotone scale-binding map S satisfies S (mcertₐbs) = 1500 MeV, then S (mₛtarₐbs) ≥ 1500 MeV = 1. 500 GeV. As an illustrative application, the framework is applied to a calibrated four-dimensional SU (3) pure Yang–Mills reference sector. Using a reference center of 1653 MeV and conservative margins of 26 MeV, 100 MeV, and 27 MeV, the integer interval calculation yields a conditional lower-bound surface of 1500 MeV = 1. 500 GeV. This work does not claim an unconditional solution of the Clay Millennium Yang–Mills mass gap problem, nor an exact physical QCD glueball mass. It provides a conditional, reproducible, and formally portable certificate framework designed for auditability and translation into proof assistants such as Lean and Coq.

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Cite This Study

Hidetoshi Itakura (2026) studied this question.

synapsesocial.com/papers/6a0172813a9f334c28272c4ehttps://doi.org/10.5281/zenodo.20091574
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