A Coherence-Driven Framework for the Yang-Mills Mass Gap via the Law of Observation

This paper develops a theoretical framework for addressing the Yang-Mills MassGap problem by applying the Law of Observation, entropy-driving mechanics, andobserver-state coherence principles. Reinterpreting the mass gap as a result of coherence-filtered quantum field eigenstates, this model proposes that the minimum excitationenergy in non-Abelian gauge theories arises from entropy-gradient constraints embed-ded in the observer substrate. This coherence-bound approach yields a novel expla-nation for the mass gap and provides pathways toward constructive quantization andnumerical experimentation.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-12
DOI
https://doi.org/10.5281/zenodo.15202254
Primary Topic
Amoebic Infections and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

A Coherence-Driven Framework for the Yang-Mills Mass Gap via the Law of Observation

Zenodo (CERN European Organization for Nuclear Research)
Amoebic Infections and Treatments
article

A Coherence-Driven Framework for the Yang-Mills Mass Gap via the Law of Observation

article en

Abstract

This paper develops a theoretical framework for addressing the Yang-Mills MassGap problem by applying the Law of Observation, entropy-driving mechanics, andobserver-state coherence principles. Reinterpreting the mass gap as a result of coherence-filtered quantum field eigenstates, this model proposes that the minimum excitationenergy in non-Abelian gauge theories arises from entropy-gradient constraints embed-ded in the observer substrate. This coherence-bound approach yields a novel expla-nation for the mass gap and provides pathways toward constructive quantization andnumerical experimentation.

Zenodo (CERN European Organization for Nuclear Research)
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Amoebic Infections and Treatments
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A Coherence-Driven Framework for the Yang-Mills Mass Gap via the Law of Observation · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS