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Algorithmic Entropy and the Riemann Hypothesis: Information-Theoretic Bounds on the Distribution of Zeta Zeros

We establish novel connections between algorithmic information theory and the Riemann Hypothesis (RH) by analyzing the Kolmogorov complexity of arithmetic sequences associated with the distribution of prime numbers.

Abstract

We establish novel connections between algorithmic information theory and the Riemann Hypothesis (RH) by analyzing the Kolmogorov complexity of arithmetic sequences associated with the distribution of prime numbers.

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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