Application of Stochastic Calculus of Variations for Reflection-Positive Measure Construction in Yang-Mills Theory

In this sequential manuscript, we use the foundational concepts developed in our previous work on the spectral analysis and differential topology of 4D Yang-Mills theory, specifically the marginal stability discriminant dictating the dynamics of the theory, to address the fundamental integrability pathologies of infinite-dimensional configuration spaces. We use advanced infinite-dimensional stochastic analysis and Malliavin calculus to evaluate the continuum weak limit of the gauge measure. The functional analytic behind the concentration of the four-dimensional statistical weight path integral measure onto a one-dimensional tubular neighborhood is formalized via the Donsker delta distribution within the Watanabe-Sobolev space. The constrained measure obtained (via the Donker delta distribution) is proved to satisfy the Bouleau-Hirsch non-degeneracy condition and adherence to Haag’s theorem. Furthermore, we show that this measure concentration via the Donsker delta distribution confines the path integration to the Fundamental Modular Region, evading the Gribov ambiguity. Also, this dynamically generated topological framework resolves ultraviolet triviality through exact spatial Sobolev bounding, while infrared convergence is secured via uniformly summable multi-scale polymer cluster expansions driven by the framework’s emergent topological mass gap. We also present proof that the constructed Yang-Mills measure is reflection-positive, which represents a significant step towards a complete formulation of an interacting constructive Yang-Mills theory in four dimensions.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-16
DOI
https://doi.org/10.5281/zenodo.22791242
Primary Topic
Statistical Mechanics and Entropy
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

Application of Stochastic Calculus of Variations for Reflection-Positive Measure Construction in Yang-Mills Theory

Guy Lionel Wete Nitu
Zenodo (CERN European Organization for Nuclear Research)
Statistical Mechanics and Entropy
preprint

Application of Stochastic Calculus of Variations for Reflection-Positive Measure Construction in Yang-Mills Theory

Guy Lionel Wete Nitu
preprint en

Abstract

In this sequential manuscript, we use the foundational concepts developed in our previous work on the spectral analysis and differential topology of 4D Yang-Mills theory, specifically the marginal stability discriminant dictating the dynamics of the theory, to address the fundamental integrability pathologies of infinite-dimensional configuration spaces. We use advanced infinite-dimensional stochastic analysis and Malliavin calculus to evaluate the continuum weak limit of the gauge measure. The functional analytic behind the concentration of the four-dimensional statistical weight path integral measure onto a one-dimensional tubular neighborhood is formalized via the Donsker delta distribution within the Watanabe-Sobolev space. The constrained measure obtained (via the Donker delta distribution) is proved to satisfy the Bouleau-Hirsch non-degeneracy condition and adherence to Haag’s theorem. Furthermore, we show that this measure concentration via the Donsker delta distribution confines the path integration to the Fundamental Modular Region, evading the Gribov ambiguity. Also, this dynamically generated topological framework resolves ultraviolet triviality through exact spatial Sobolev bounding, while infrared convergence is secured via uniformly summable multi-scale polymer cluster expansions driven by the framework’s emergent topological mass gap. We also present proof that the constructed Yang-Mills measure is reflection-positive, which represents a significant step towards a complete formulation of an interacting constructive Yang-Mills theory in four dimensions.

Zenodo (CERN European Organization for Nuclear Research)
University of South Africa (ZA)
Reduced inequalities
Statistical Mechanics and Entropy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Application of Stochastic Calculus of Variations for Reflection-Positive Measure Construction in Yang-Mills Theory — Guy Lionel Wete Nitu · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS