Purpose: Demonstrates the Dimensional Stability Theorem (DST) numerically.
What it does:
- Simulates a system with Form (F), Position (P), and Action (A) components
- Shows that stable configurations maintain F + P + A ≈ const
- Visualizes the stability basin and perturbation responses
Requirements:
pip install numpy matplotlib scipyUsage:
python dimensional_stability_toymodel.pyExpected Output:
- Console: Stability metrics and convergence data
- Plot: F-P-A trajectory in phase space
To reproduce the results from DST v23.2:
- Clone the repository
- Install dependencies:
pip install -r requirements.txt - Run:
python simulations/dimensional_stability_toymodel.py - Compare output with Table 3 in DST document
| Simulation | Status | Last Run | Notes |
|---|---|---|---|
| DST Toymodel | ✅ Verified | 2026-01-30 | Matches analytical predictions |
To contribute a new simulation:
- Follow the naming convention:
{theorem_name}_{type}.py - Include docstring with:
- Purpose
- Inputs/Outputs
- Expected results
- Add entry to this README
For simulation-related questions: petar@u-model.org