TNFR Python Engine TNFR Theory Documentation Hub
Version 0.0.2 · DOI 10.5281/zenodo.17764207 · Updated 2025-11-30 Source theory/README.md

TNFR Theory Documentation Hub

Comprehensive theoretical documentation for Resonant Fractal Nature Theory (TNFR).

📚 Core Theory Documents

Primary References

Documentation Hierarchy

  1. ../AGENTS.md - Complete theoretical framework
  2. This directory - Specialized mathematical developments
  3. ../docs/ - Implementation specifications

🧮 Key Theoretical Concepts

Universal Tetrahedral Correspondence

Exact mapping between four mathematical constants and four structural fields: - φ (Golden Ratio) ↔ Φ_s (Structural Potential) - γ (Euler Constant) ↔ |∇φ| (Phase Gradient)
- π (Pi) ↔ K_φ (Phase Curvature) - e (Euler Number) ↔ ξ_C (Coherence Length)

Nodal Equation

∂EPI/∂t = νf · ΔNFR(t)

Universal evolution law governing all structural transformations.

Unified Grammar (U1-U6)

Physics-derived constraints for valid operator sequences: - U1: Structural Initiation & Closure - U2: Convergence & Boundedness
- U3: Resonant Coupling - U4: Bifurcation Dynamics - U5: Multi-Scale Coherence - U6: Structural Potential Confinement

13 Canonical Operators

Complete set of structural transformation operators: AL, EN, IL, OZ, UM, RA, SHA, VAL, NUL, THOL, ZHIR, NAV, REMESH

🔬 Research Areas

Mathematical Foundations

Physics Applications

TNFR–Riemann Program (COMPLETE FRAMEWORK)

Computational Implementation

📖 Reading Pathways

Newcomer Path (2-4 hours)

  1. ../AGENTS.md - Complete overview and paradigm
  2. GLOSSARY.md - Essential terminology
  3. Structural Fields and Universal Tetrahedral Correspondence - Mathematical foundation

Guided Tutorial: From Nodal Equation to Cosmos

For a structured, equation-driven tour of how macroscopic order emerges from the Nodal Equation, use the following path:

  1. Theory Tutorial: ../TUTORIAL_FROM_NODAL_EQUATION_TO_COSMOS.md
    Derivation in five regimes:

    • Fundamental: Lyapunov functional, variational principle and bifurcation structure for $$ \frac{\partial \text{EPI}}{\partial t} = \nu_f \cdot \Delta \text{NFR}(t) $${' '}
    • Microscopic: Atomic stability as standing waves (Schrödinger-type equation, stress tensor).
    • Biological: Flux capture optimization (phyllotaxis) and DNA as helical LC resonator.
    • Macroscopic: Etheric vortex mechanics, relativistic stress-energy and geocentric attractor.
    • Teleological: Neural field synchronization, information integration and Schumann locking.
  2. Numerical Demonstration: ../examples/38_tnfr_master_class.py
    Stepwise numerical experiments corresponding to each regime (nodal dynamics, atomic minimum, phyllotaxis efficiency, vortex stress, neural impedance matching).

Research Path (1-2 weeks)

  1. UNIFIED_GRAMMAR_RULES.md - Complete physics derivations
  2. TNFR.pdf - Historical theoretical development
  3. ../docs/ - Technical implementation details

Implementation Path (ongoing)

  1. ../src/tnfr/ - Code implementations
  2. ../examples/ - Practical tutorials
  3. ../tests/ - Validation experiments

🏛️ Theoretical Status

Version: 0.0.1 (November 29, 2025)
Maturity: Production-ready theoretical framework
Validation: 2,400+ experiments across multiple topologies
Authority: AGENTS.md serves as canonical theoretical reference


Note: AGENTS.md remains in repository root as the primary theoretical authority. This directory provides detailed expansions and supporting documentation for deeper theoretical study.