evez-worldsystems-solver

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

1. Hunger — dominant negative eigenvalue (the root tension)
2. Energy — couples to all other domains
3. Health — downstream of hunger + energy
4. 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