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Quickstart

Install the Creative Determinant framework and run the numerical demonstrations.

Prerequisites

  • Python 3.10+
  • uv (package manager)

Clone and install

```bash git clone https://github.com/Project-Navi/navi-creative-determinant.git cd navi-creative-determinant

Install all dependencies (creates venv, installs package + deps)

uv sync ```

Run the tests

bash uv run pytest tests/ -v

24 tests validate eigenvalue verification, nonlinear solves, viability threshold crossings, convergence rates, and canonical closure sweeps.

Open the notebook

bash uv run jupyter lab notebooks/

The Jupyter notebook cd_pde_demo.ipynb demonstrates the PDE framework numerically in 1D, 2D, and 3D --- viability thresholds, equilibrium emergence, and canonical closure.

Repository structure

paper/ # The core paper (creative_determinant.pdf) notebooks/ # Jupyter notebook with numerical demonstrations src/cd/ # Python library (solvers, eigenvalue tools, closures) tests/ # 24 tests against analytic solutions cd_formalization/ # Lean 4 formalization (15 theorems, zero sorry) experiments/ # Scaffolding for empirical tests figures/ # Publication-quality visualizations

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