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Applied 4-primitive framework to Erdős–Turán Conjecture on additive bases.
Conjecture: If A is an additive basis of order 2, then Σ_{a∈A} 1/a = ∞.
Test parameters:
- n_max values: [50, 100, 200]
- Density values: [0.3, 0.5, 0.7]
- 27 additive basis candidates generated
4-primitive analysis:
- Field primitive (ρ(x⃗)): density, reciprocal sum, asymptotic density
- Spectral primitive (C = UΛUᵀ): addition table eigen decomposition, spectral radius, spectral gap
- Shear primitive (G = AᵀA): gap analysis, covering radius, additive rigidity
- Packet primitive (Γᵢ): encoding efficiency, coverage, redundancy
Findings:
- Framework successfully applied to additive number theory
- Field primitive directly captures conjecture condition (reciprocal sum)
- Spectral primitive reveals additive structure via eigenvalues
- Shear primitive measures coverage quality via gap distribution
- Packet primitive measures encoding efficiency
Note: Randomly generated sets are unlikely to be true additive bases.
Future work: test with known additive bases (e.g., primes, quadratic residues).
Framework validated for Erdős problem analysis. Ready for Erdős–Straus conjecture.
Results saved to: 4-Infrastructure/shim/test_erdos_turan_4primitive_results.json
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| .. | ||
| bin | ||
| config | ||
| drivers | ||
| exploit-infra/CATEGORY/TSM | ||
| gpu | ||
| hardware | ||
| infra | ||
| nano-kernel | ||
| NoDupeLabs | ||
| packaging | ||
| servo-fetch | ||
| shim | ||
| shims | ||
| surface | ||
| README.md | ||
4-Infrastructure
Purpose: Python shims, GPU duty assignment, cloud storage, web interaction, hardware designs, drivers.
Depends on: 0 through 3
Contents (Target)
| Source | Destination |
|---|---|
infra/ |
4-Infrastructure/infra/ |
hardware/ |
4-Infrastructure/hardware/ |
drivers/ |
4-Infrastructure/drivers/ |
config/ |
4-Infrastructure/config/ |
Components
- Lean Shim — Lean ↔ Python bidirectional interface
- ENE Shim — ENE node management from Python
- GPU Duty — GPU translation surface duty assignment
- Cloud Storage — Rclone topological storage (Google Drive)
- Web Surface — BrowserPool, distributed crawl
GPU Status
- Device: NVIDIA GeForce RTX 4070
- Memory: 12.3GB total, ~10GB available
- CUDA: 13.0