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Spectral Universality in High-Dimensional Biological Correlation Matrices and the Riemann Hypothesis

We investigate the spectral statistics of high-dimensional correlation matrices arising from transcriptomic data analysis, as introduced in the biological framework of arXiv:biology_2604_13719v1.

Abstract

We investigate the spectral statistics of high-dimensional correlation matrices arising from transcriptomic data analysis, as introduced in the biological framework of arXiv:biology_2604_13719v1.

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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