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Algorithmic Information Bounds and the Riemann Hypothesis: A Complexity-Theoretic Approach

This paper establishes a novel equivalence between the Riemann Hypothesis (RH) and algorithmic information theory.

Abstract

This paper establishes a novel equivalence between the Riemann Hypothesis (RH) and algorithmic information theory.


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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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