| name | evez-worldsystems-solver |
| description | Eigendecomposition of global problems. Reduces 17 SDGs to 4 coupled domains and solves them via eigenvalue analysis. Hunger = dominant negative eigenvalue. $1B → $1.75B total system impact. Use for policy optimization, foreign aid allocation, or systems thinking. |
| version | 1.0.0 |
| author | @EvezArt |
| tags | ["evez","worldsystems","eigenvalue","sdg","policy","hunger","energy","health","education"] |
EVEZ World Systems Solver
Global problems are eigenvalue problems. The dominant negative eigenvalue is hunger.
The 4 Domains
- Hunger — dominant negative eigenvalue (the root tension)
- Energy — couples to all other domains
- Health — downstream of hunger + energy
- Education — long-term amplifier
Key Result
- Leontief inverse: $1B hunger → $1.75B total system impact
- Dominant eigenvalue ratio ∈ [0.33, 0.42] = scale-free critical topology
- Ratio outside [0.33, 0.42] = system is broken
Falsifiable
If the eigenvalue ratio falls outside [0.33, 0.42] for a real-world coupling matrix, the system is non-scale-free or non-critical.
Quick Start
from solver import WorldSystemsSolver
solver = WorldSystemsSolver()
impact = solver.compute_intervention("hunger", 1e9)
print(f"$1B hunger relief → ${impact/1e9:.2f}B total impact")
Author
Steven Crawford-Maggard (EVEZ666)
License: MIT
