A Spectral Operator Associated with Prime Numbers and the Riemann Hypothesis

This document presents an honest account of an AI-assisted exploration of the Riemann Hypothesis. It is the fourth iteration of this work, following critical feedback from the mathematical community (primarily on the MersenneForum). What this is: - A case study in using AI language models (DeepSeek, ChatGPT, Gemini, Grok) to investigate a deep mathematical problem. - A documentation of a learning process, including mistakes and the lessons learned from them. - Numerical experiments with a spectral operator on prime numbers (see the comparison table inside). What this is NOT: - A claim of proving the Riemann Hypothesis. Earlier versions (1.0-3.0) made such claims, but they were based on AI-generated arguments that I did not fully understand. - A rigorous mathematical proof. The feedback from experts has made it clear that several key steps lack proper justification. Contents: - A description of the operator construction. - A summary of the critical feedback received. - Numerical data comparing computed eigenvalues with Odlyzko's zeros. - A reflection on the limitations of AI in mathematical research. This work is published to document my journey and to thank the mathematicians who took the time to provide honest criticism. I am now focusing on learning the necessary mathematics properly.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-22
DOI
https://doi.org/10.5281/zenodo.18723225
Primary Topic
Analytic Number Theory Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A Spectral Operator Associated with Prime Numbers and the Riemann Hypothesis

Kirill Titov
Zenodo (CERN European Organization for Nuclear Research)
Analytic Number Theory Research
article

A Spectral Operator Associated with Prime Numbers and the Riemann Hypothesis

Kirill Titov
article en

Abstract

This document presents an honest account of an AI-assisted exploration of the Riemann Hypothesis. It is the fourth iteration of this work, following critical feedback from the mathematical community (primarily on the MersenneForum). What this is: - A case study in using AI language models (DeepSeek, ChatGPT, Gemini, Grok) to investigate a deep mathematical problem. - A documentation of a learning process, including mistakes and the lessons learned from them. - Numerical experiments with a spectral operator on prime numbers (see the comparison table inside). What this is NOT: - A claim of proving the Riemann Hypothesis. Earlier versions (1.0-3.0) made such claims, but they were based on AI-generated arguments that I did not fully understand. - A rigorous mathematical proof. The feedback from experts has made it clear that several key steps lack proper justification. Contents: - A description of the operator construction. - A summary of the critical feedback received. - Numerical data comparing computed eigenvalues with Odlyzko's zeros. - A reflection on the limitations of AI in mathematical research. This work is published to document my journey and to thank the mathematicians who took the time to provide honest criticism. I am now focusing on learning the necessary mathematics properly.

Zenodo (CERN European Organization for Nuclear Research)
Cook Research (United States) (US)
Openalex Percentile: Top 42%
Analytic Number Theory Research
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