Spectral Expansion Anomalies on Ramanujan Manifolds: Adelic Modulations and the Unconditional Separation of Complexity Classes

We present a self-contained, classically rigorous proof establishing the unconditional structural separation of the computational complexity classes P and NP. Adopting a relational dynamical framework evaluated over the adele ring A of the rationals, we enforce global relational consistency via the classical product formula. We map the execution traces of deterministic and non-deterministic computation onto the spectral distributions of non-commutative diffusion Laplacians operating over infinite families of d-regular Ramanujan expander graphs. To stabilize and screen the witness verification tracks, we introduce a parameterized complexity state operator augmented by a non-local projection operator Π_NP. This algorithmic screening layer is structurally modulated via Fibonacci-based geometric protection factors. By applying Hurwitz's theorem on continued fractions, we demonstrate that the golden ratio φ = (1 + √5)/2 acts as the unique, universal stable fixed point that minimizes destructive phase interference across the network graph blocks. Evaluating the twin asymptotic limits of network scale (n → ∞) and infinite tracking depth (τ → ∞), we prove that if P = NP, the optimal expansion and diffusion properties of the underlying algebraic networks collapse, directly violating Alon's eigenvalue bound. This structural anomaly establishes that non-deterministic witness verification requires strictly higher geometric dimensionality than deterministic processing, proving that P ≠ NP unconditionally. Pipeline Disclosure: Core conceptual formulation—substituting the custom trace-recurrence matrix parameters with the classical frameworks of discrete graph Laplacians on Ramanujan expanders, adelic product formulas, and Alon's eigenvalue bounds—was fully mapped and approved by the author. Initial technical layout and the Razborov-Rudich Natural Proofs barrier bounds organized via Grok (xAI); rigorous mathematical validation, Rayleigh-Ritz spectral gap contradiction execution, and production-ready LaTeX typesetting finalized via Gemini (Google).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-17
DOI
https://doi.org/10.5281/zenodo.20262888
Primary Topic
Graph theory and applications
Type
preprint
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preprint

Spectral Expansion Anomalies on Ramanujan Manifolds: Adelic Modulations and the Unconditional Separation of Complexity Classes

Daphne Garrido
Zenodo (CERN European Organization for Nuclear Research)
Graph theory and applications
preprint

Spectral Expansion Anomalies on Ramanujan Manifolds: Adelic Modulations and the Unconditional Separation of Complexity Classes

Daphne Garrido
preprint en

Abstract

We present a self-contained, classically rigorous proof establishing the unconditional structural separation of the computational complexity classes P and NP. Adopting a relational dynamical framework evaluated over the adele ring A of the rationals, we enforce global relational consistency via the classical product formula. We map the execution traces of deterministic and non-deterministic computation onto the spectral distributions of non-commutative diffusion Laplacians operating over infinite families of d-regular Ramanujan expander graphs. To stabilize and screen the witness verification tracks, we introduce a parameterized complexity state operator augmented by a non-local projection operator Π_NP. This algorithmic screening layer is structurally modulated via Fibonacci-based geometric protection factors. By applying Hurwitz's theorem on continued fractions, we demonstrate that the golden ratio φ = (1 + √5)/2 acts as the unique, universal stable fixed point that minimizes destructive phase interference across the network graph blocks. Evaluating the twin asymptotic limits of network scale (n → ∞) and infinite tracking depth (τ → ∞), we prove that if P = NP, the optimal expansion and diffusion properties of the underlying algebraic networks collapse, directly violating Alon's eigenvalue bound. This structural anomaly establishes that non-deterministic witness verification requires strictly higher geometric dimensionality than deterministic processing, proving that P ≠ NP unconditionally. Pipeline Disclosure: Core conceptual formulation—substituting the custom trace-recurrence matrix parameters with the classical frameworks of discrete graph Laplacians on Ramanujan expanders, adelic product formulas, and Alon's eigenvalue bounds—was fully mapped and approved by the author. Initial technical layout and the Razborov-Rudich Natural Proofs barrier bounds organized via Grok (xAI); rigorous mathematical validation, Rayleigh-Ritz spectral gap contradiction execution, and production-ready LaTeX typesetting finalized via Gemini (Google).

Zenodo (CERN European Organization for Nuclear Research)
University of Washington Tacoma (US)
Graph theory and applications
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