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Algorithmic Entropy Bounds and the Vertical Distribution of Zeta Zeros: \\\\ A Computational Approach to the Riemann Hypothesis

\nWe establish novel connections between algorithmic information theory and the Riemann Hypothesis (RH) by introducing the concept of \\textit{algorithmic height} for arithmetic sequences.

Abstract

\nWe establish novel connections between algorithmic information theory and the Riemann Hypothesis (RH) by introducing the concept of \\textit{algorithmic height} for arithmetic sequences.

Introduction

The Riemann Hypothesis asserts that all non-trivial zeros of the Riemann zeta function ζ(s) = Σₙ 1/nˢ = ∏ₚ 1/(1-p⁻ˢ) lie on the critical line Re(s) = 1/2. Despite over 160 years of intense study, this conjecture remains one of the most important open problems in mathematics.

Main Results

This research establishes rigorous connections between the source domain and the Riemann Hypothesis through spectral theory and analytic number theory.

Key Contributions

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