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CFNT5B-CP: Conservative Framework for Non-Trivial 5-Band Composite Perturbation

Overview

The CFNT5B-CP (Core-Fibonacci-Number Theoretic-5 Banded-Complex Perturbations) operator framework achieves what previous attempts could not: simultaneous spectral accuracy and authentic random matrix statistics. This repository contains the complete implementation, data, and documentation for reproducing all results from our paper.

Paper: 010930 010930August_The_CFNT5B_CP_Operator_Empirical_Investigation.pdf (Draft Version - August 2025)

Repository Contents

📁 Code

  • 16JulyPublicationRefactor.ipynb - Complete computational framework with 14 analysis cells:
    • Cell A: Baseline matrix construction demonstration
    • Cell B: Perturbation framework (6+ hour runtime - pre-computed data provided)
    • Cell #1: Conservative hybrid analysis (RUN THIS FIRST)
    • Cells #2-12: Analysis modules generating all figures and results

📊 Data Files

  • Zeta Zeros:

    • combined_zeros_1.txt (10M zeros available, first 30K used in experiments)
  • Unperturbed Eigenvalues:

    • eigenvals_N5000_comprehensive_20250609_150741.txt (5K scale)
    • eigenvals_N10000_comprehensive_20250609_151458.txt (10K scale)
    • eigenvals_N15000_comprehensive_20250609_153652.txt (15K scale)
    • eigenvals_N20000_comprehensive_20250609_162546.txt (20K scale)
    • eigenvals_N25000_N25K_comprehensive_20250609_185007.txt (25K scale)
  • Perturbed Eigenvalues:

    • perturbed_eigenvals_5K_strength3.2.txt (5K scale, strength 3.2)
    • perturbed_eigenvals_10K_strength5.4.txt (10K scale, strength 5.4)
    • perturbed_eigenvals_15K_strength9.6.txt (15K scale, strength 9.6)
    • perturbed_eigenvals_20K_strength12.8.txt (20K scale, strength 12.8)
    • perturbed_eigenvals_25K_strength14.0.txt (25K scale, strength 14.0)

Quick Start

  1. Clone this repository:
    git clone https://github.com/JohnNDvorak/CFNT5B-CP-Analysis.git
    cd CFNT5B-CP-Analysis

About

Implementation of CFNT5B-CP framework for testing Hilbert-Pólya conjecture via spectral analysis. Achieves sub-2% eigenvalue-zeta zero correspondence through novel two-stage operator construction. Includes complete Jupyter notebook, eigenvalue datasets (5K-25K scales), zeta zeros, and comprehensive analysis suite. Pre-print now available.

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