Uniform Convergence of Regularized Determinants for Zeta Spectral Triples: Toward Global Weil Positivity and the Riemann Hypothesis

This paper reorganizes and polishes a conditional analytic framework for the uniform convergence of regularized determinants associated with zeta spectral triples. The guiding question is precise: under what verifiable analytic hypotheses would the finite self-adjoint spectral triples of Connes, Consani and Moscovici yield a compact-uniform determinant limit equal to Riemann’s completed function? The paper does not claim an unconditional proof of the Riemann Hypothesis. Its main contribution is a carefully normalized theorem: if the recentered minimal eigenvectors of the truncated Weil quadratic forms converge in an exponential weighted topology, if the resulting Mellin transforms are identified with the completed Riemann function after a non-vanishing normalization, and if the determinant normalizations are locally uniform, then the normalized regularized determinants converge uniformly on compact subsets of the complex plane to . Since the finite determinant approximants have only real zeros in the spectral variable, Hurwitz’s theorem then implies the Riemann Hypothesis. The paper also records a rigorous local trace theorem showing that the half-density damped prime-clock trace produces the exact prime-power weights in the Weil explicit formula. The final sections explain how quasi-inner local factor theory, semi-local Sonin spaces, prolate concentration estimates, trace-norm determinant continuity, and Quillen-curvature positivity fit into the remaining convergence problem. The result is a publishable conditional theorem with an explicit analytic bottleneck, rather than an unconditional proof.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-28
DOI
https://doi.org/10.5281/zenodo.20998327
Primary Topic
Random Matrices and Applications
Type
article
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article

Uniform Convergence of Regularized Determinants for Zeta Spectral Triples: Toward Global Weil Positivity and the Riemann Hypothesis

Ying Ye
Zenodo (CERN European Organization for Nuclear Research)
Random Matrices and Applications
article

Uniform Convergence of Regularized Determinants for Zeta Spectral Triples: Toward Global Weil Positivity and the Riemann Hypothesis

Ying Ye
article en

Abstract

This paper reorganizes and polishes a conditional analytic framework for the uniform convergence of regularized determinants associated with zeta spectral triples. The guiding question is precise: under what verifiable analytic hypotheses would the finite self-adjoint spectral triples of Connes, Consani and Moscovici yield a compact-uniform determinant limit equal to Riemann’s completed function? The paper does not claim an unconditional proof of the Riemann Hypothesis. Its main contribution is a carefully normalized theorem: if the recentered minimal eigenvectors of the truncated Weil quadratic forms converge in an exponential weighted topology, if the resulting Mellin transforms are identified with the completed Riemann function after a non-vanishing normalization, and if the determinant normalizations are locally uniform, then the normalized regularized determinants converge uniformly on compact subsets of the complex plane to . Since the finite determinant approximants have only real zeros in the spectral variable, Hurwitz’s theorem then implies the Riemann Hypothesis. The paper also records a rigorous local trace theorem showing that the half-density damped prime-clock trace produces the exact prime-power weights in the Weil explicit formula. The final sections explain how quasi-inner local factor theory, semi-local Sonin spaces, prolate concentration estimates, trace-norm determinant continuity, and Quillen-curvature positivity fit into the remaining convergence problem. The result is a publishable conditional theorem with an explicit analytic bottleneck, rather than an unconditional proof.

Zenodo (CERN European Organization for Nuclear Research)
Institut de Technologie Alimentaire (SN)
Openalex Percentile: Top 6%
Random Matrices and Applications
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