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Published April 5, 2026 | Version v1
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The Architecture of the Riemann Hypothesis: Thermal Dynamics, Noncommutative Geometry, and Integrable Systems

  • 1. Independent Researcher

Description

This paper provides a unified view of three major contemporary approaches to the Riemann Hypothesis (RH): the thermal evolution of De Bruijn–Newman, the integrable dynamics of the Toda lattice, and Connes' noncommutative geometry. We show how the RH translates into positivity of the Hankel determinants associated with the Xi function and how this positivity is linked to Jacobi matrices and a Lax flow. We identify three central barriers that remain open: the absence of a well-defined convergent invariant, the impossibility of propagating positivity without assuming the conclusion, and the lack of a proof of total positivity (PF_infinity) for the kernel Phi(u).

For the first barrier, we propose a regularized relative invariant and test it numerically with arbitrary-precision arithmetic (80 decimal digits, Jacobi coefficients up to n=14, thermal parameter t in [0,5]). Our computations confirm the strict positivity of all Hankel determinants and Jacobi coefficients at t=0, consistent with the RH. However, the proposed relative invariant is not conserved along the flow: the boundary terms carry genuine t-dependence that persists as N tends to infinity. This negative result sharpens the requirements for a successful conservation law and rules out the simplest class of relative regularizations.

We then propose revised technical routes to overcome each barrier, informed by the numerical evidence. The text serves as a research roadmap, delineating the steps needed to transform these ideas into a complete proof. The Python code for all numerical experiments is available as supplementary material.

Other (English)

This paper does not claim a resolution of the Riemann Hypothesis. It presents a research program based on the unification of modern ideas, enriched with numerical evidence and concrete technical routes. Supplementary Python code (reproduce_results.py) reproduces all numerical results reported in Section 8.

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Subtitle (English)
A Research Program and Synthesis of Approaches