Curvature Gradient Bounds and the Riemann Hypothesis

This paper presents a geometric exclusion framework for the Riemann Hypothesis based on curvature gradient analysis of truncated Dirichlet series. Rather than locating zeros directly, the method investigates the norm coherence of ζ-like approximations and shows that off-critical alignment leads to increasing analytic instability. Empirical results reveal an exponential contraction of the stability zone toward the critical line Re(s) = ½ as truncation depth increases. This suggests a curvature-based exclusion principle: off-line zeros are asymptotically unstable under analytic pressure. While not a formal proof, the framework offers a predictive and falsifiable constraint on zero distribution, grounded in numerical behavior and analytic structure. The work is positioned at the intersection of mathematical physics, dynamical systems, and quasi-empirical number theory.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-27
DOI
https://doi.org/10.5281/zenodo.15755990
Primary Topic
Quantum chaos and dynamical systems
Type
article
Field-Weighted Citation Impact
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article

Curvature Gradient Bounds and the Riemann Hypothesis

Zenodo (CERN European Organization for Nuclear Research)
Quantum chaos and dynamical systems
article

Curvature Gradient Bounds and the Riemann Hypothesis

article en

Abstract

This paper presents a geometric exclusion framework for the Riemann Hypothesis based on curvature gradient analysis of truncated Dirichlet series. Rather than locating zeros directly, the method investigates the norm coherence of ζ-like approximations and shows that off-critical alignment leads to increasing analytic instability. Empirical results reveal an exponential contraction of the stability zone toward the critical line Re(s) = ½ as truncation depth increases. This suggests a curvature-based exclusion principle: off-line zeros are asymptotically unstable under analytic pressure. While not a formal proof, the framework offers a predictive and falsifiable constraint on zero distribution, grounded in numerical behavior and analytic structure. The work is positioned at the intersection of mathematical physics, dynamical systems, and quasi-empirical number theory.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 61%
Quantum chaos and dynamical systems
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