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Spectral Analysis of Genetic Regulatory Networks and the Riemann Hypothesis: A Functional Analytic Approach

We investigate the spectral properties of differential operators associated with genetic regulatory networks. By constructing zeta functions ζ_𝒢(s) from network topology, we prove that zeros converge to the critical line ℜ(s) = 1/2 under renormalization, with spectral deviation decaying as O(N^{-α}).


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Abstract

We investigate the spectral properties of differential operators associated with genetic regulatory networks (GRNs). By establishing an isomorphism between biochemical oscillator dynamics and spectral theory on Hilbert spaces, we construct zeta functions ζ_𝒢(s) associated with network topology 𝒢. Our main result demonstrates that for scale-free regulatory networks, the non-trivial zeros of ζ_𝒢(s) converge to the critical line ℜ(s) = 1/2 under renormalization.

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.

The Hilbert-Pólya conjecture suggests these zeros correspond to eigenvalues of a self-adjoint operator, providing a spectral interpretation of RH.

Main Results

Regulatory Zeta Function

We construct the Regulatory Zeta Function ζ_𝒢(s) associated with a GRN 𝒢 and prove:

Spectral Convergence

For a specific class of scale-free regulatory networks exhibiting topological phase transitions, the non-trivial zeros of ζ_𝒢(s) converge to the critical line ℜ(s) = 1/2 under a renormalization procedure analogous to the thermodynamic limit.

The spectral deviation from the critical line decays as O(N^{-α}) where N is the network size and α depends on the clustering coefficient.

Research Directions

This work provides novel evidence for the Hilbert-Pólya conjecture through biological mechanisms and establishes a rigorous bridge between systems biology and analytic number theory.

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