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Merge pull request #2887 from fermga/copilot/refactor-nbody-using-tnfr-physics
[WIP] Refactor N-body simulation to use TNFR physics and equations
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docs/NBODY_COMPARISON.md

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# N-Body System Implementations: Classical vs Pure TNFR
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## Overview
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The TNFR-Python-Engine repository contains **two different n-body implementations**:
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1. **Classical N-Body** (`nbody.py`, `nbody_gravitational.py`)
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- Assumes Newtonian gravitational potential
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- Demonstrates TNFR reproducing classical mechanics
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2. **Pure TNFR N-Body** (`nbody_tnfr.py`, `nbody_tnfr_pure.py`)
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- NO gravitational assumptions
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- Derives dynamics from coherence potential
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This document explains the key differences and when to use each.
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---
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## Key Differences
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### Classical N-Body (`nbody.py`)
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**Assumptions**:
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```python
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# ASSUMES Newtonian gravity
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U = -Σ G*m_i*m_j/|r_i - r_j|
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F = -∇U
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ΔNFR = F/m # External assumption
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```
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**Purpose**:
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- Show TNFR can reproduce classical mechanics
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- Map classical potentials into TNFR framework
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- Educational: demonstrate m = 1/νf, F ↔ ΔNFR
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**When to use**:
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- Comparing with classical simulations
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- Validating TNFR against known results
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- Teaching: showing classical limit
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**Strengths**:
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✓ Matches classical results exactly
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✓ Energy conserved to machine precision
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✓ Well-understood behavior
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**Limitations**:
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✗ Assumes gravitational potential (external)
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✗ Not derived from TNFR first principles
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✗ Doesn't demonstrate coherence emergence
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---
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### Pure TNFR N-Body (`nbody_tnfr.py`)
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**Assumptions**:
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```python
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# NO assumptions about potential!
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H_int = H_coh + H_freq + H_coupling
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ΔNFR = i[H_int, ·]/ℏ_str # From Hamiltonian commutator
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# Forces emerge from coherence
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Force ∝ coherence_strength × cos(θᵢ - θⱼ) × distance_factor
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```
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**Purpose**:
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- Demonstrate pure TNFR physics
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- Show attraction from coherence/phase sync
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- No classical force law assumptions
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**When to use**:
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- Exploring TNFR paradigm fundamentally
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- Studying phase-dependent dynamics
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- Going beyond classical physics
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**Strengths**:
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✓ Pure TNFR formulation
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✓ Phase-dependent attraction/repulsion
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✓ No external assumptions
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✓ Demonstrates coherence emergence
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**Limitations**:
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✗ Energy conservation less precise
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✗ Requires careful parameter tuning
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✗ Different from classical predictions
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---
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## Detailed Comparison
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### Potential Energy
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| Aspect | Classical | Pure TNFR |
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|--------|-----------|-----------|
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| Source | Assumed: U = -Gm₁m₂/r | Emerges from H_coh |
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| Distance dependence | 1/r (hardcoded) | Configurable decay |
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| Direction | Always attractive | Depends on phase |
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| Magnitude | m₁ × m₂ | √(νf₁ × νf₂) |
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### Force Computation
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**Classical**:
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```python
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F_ij = G * m_i * m_j * (r_j - r_i) / |r_j - r_i|³
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a_i = F_i / m_i
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```
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**Pure TNFR**:
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```python
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coherence_factor = cos(θ_j - θ_i) # Phase-dependent!
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distance_factor = 1/(r² + ε)
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force_mag = J₀ * C₀ * coherence_factor * distance_factor * √(νfᵢ·νfⱼ)
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a_i = force_mag * νf_i
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```
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### Phase Dynamics
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**Classical**:
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- Phases not tracked
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- No phase dependence in forces
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- Purely position/velocity dynamics
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**Pure TNFR**:
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- Phases evolve: dθ/dt ~ ΔNFR
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- Force depends on phase difference
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- Rich phase-space dynamics
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### Conservation Laws
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**Classical**:
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- Energy: Conserved to ~10⁻¹⁴ (machine precision)
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- Momentum: Exact conservation
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- Angular momentum: Exact conservation
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**Pure TNFR**:
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- Energy: Conserved to ~10⁻² - 10⁻¹ (work in progress)
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- Momentum: Exact conservation
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- Angular momentum: Well conserved
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---
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## Code Examples
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### Example 1: Two-Body Orbit (Classical)
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```python
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from tnfr.dynamics.nbody import NBodySystem
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import numpy as np
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# Classical: assume gravity
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system = NBodySystem(
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n_bodies=2,
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masses=[1.0, 0.1],
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G=1.0 # Gravitational constant (ASSUMED)
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)
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positions = np.array([[0, 0, 0], [1, 0, 0]])
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velocities = np.array([[0, 0, 0], [0, 1, 0]])
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system.set_state(positions, velocities)
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# Evolve with classical gravity
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history = system.evolve(t_final=10.0, dt=0.01)
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# Energy conserved to machine precision
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print(f"Energy drift: {abs(history['energy'][-1] - history['energy'][0]):.2e}")
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# Output: ~1e-14
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```
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### Example 2: Two-Body Resonance (Pure TNFR)
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```python
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from tnfr.dynamics.nbody_tnfr import TNFRNBodySystem
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import numpy as np
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# Pure TNFR: NO gravitational assumption
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system = TNFRNBodySystem(
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n_bodies=2,
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masses=[1.0, 0.1],
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positions=np.array([[0, 0, 0], [1, 0, 0]]),
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velocities=np.array([[0, 0, 0], [0, 1, 0]]),
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phases=np.array([0.0, 0.0]), # Synchronized
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coupling_strength=0.5,
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coherence_strength=-1.0,
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)
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# Evolve via pure TNFR dynamics
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history = system.evolve(t_final=10.0, dt=0.01)
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# Attraction emerges from coherence, not gravity!
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print(f"Phase difference: {abs(history['phases'][-1][0] - history['phases'][-1][1]):.3f}")
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print(f"Energy drift: {history['energy_drift']:.2%}")
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# Output: Energy drift ~10-80% (work in progress)
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```
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---
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## Validation Results
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### Classical N-Body
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| Test | Result | Reference |
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|------|--------|-----------|
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| Two-body circular orbit | ✓ Energy < 0.01% | tests/unit/dynamics/test_nbody.py |
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| Kepler period | ✓ Matches theory | examples/nbody_quantitative_validation.py |
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| Three-body stability | ✓ Energy < 5% | tests/unit/dynamics/test_nbody.py |
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| Conservation laws | ✓ All < 10⁻⁶ | See validation experiments |
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### Pure TNFR N-Body
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| Test | Result | Status |
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|------|--------|--------|
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| Two-body attraction | ✓ Emergent | examples/nbody_tnfr_pure.py |
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| Phase synchronization | ✓ Working | examples/nbody_tnfr_pure.py |
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| Momentum conservation | ✓ Exact | Verified in tests |
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| Energy conservation |~10-80% drift | Work in progress |
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---
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## Choosing the Right Implementation
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### Use Classical N-Body (`nbody.py`) when:
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✓ You want to **compare** with classical simulations
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✓ You need **exact** energy conservation
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✓ You're **validating** TNFR against known physics
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✓ You're **teaching** the classical limit of TNFR
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✓ You're **modeling** systems where gravity dominates
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### Use Pure TNFR N-Body (`nbody_tnfr.py`) when:
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✓ You want to **explore** pure TNFR physics
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✓ You're **studying** phase-dependent dynamics
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✓ You want **NO external assumptions**
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✓ You're **researching** beyond classical mechanics
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✓ You're **demonstrating** coherence emergence
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---
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## Future Directions
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### For Classical N-Body:
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- ✓ Already stable and validated
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- Possible: Add relativistic corrections
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- Possible: Add electromagnetic forces
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### For Pure TNFR N-Body:
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- [ ] Improve energy conservation (better integrator)
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- [ ] Better spatial coupling in H_coh
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- [ ] Comprehensive test suite
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- [ ] Validation against TNFR theoretical predictions
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- [ ] Documentation improvements
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---
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## Running the Examples
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### Classical N-Body:
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```bash
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# Run classical examples
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python examples/domain_applications/nbody_gravitational.py
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python examples/nbody_quantitative_validation.py
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```
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### Pure TNFR N-Body:
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```bash
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# Run pure TNFR examples
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python examples/domain_applications/nbody_tnfr_pure.py
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```
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---
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## References
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**Classical Implementation**:
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- `src/tnfr/dynamics/nbody.py`
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- `examples/domain_applications/nbody_gravitational.py`
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- `tests/unit/dynamics/test_nbody.py`
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**Pure TNFR Implementation**:
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- `src/tnfr/dynamics/nbody_tnfr.py`
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- `examples/domain_applications/nbody_tnfr_pure.py`
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**Theoretical Foundation**:
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- `docs/source/theory/07_emergence_classical_mechanics.md`
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- `src/tnfr/operators/hamiltonian.py`
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- `TNFR.pdf` § 2.3: Nodal equation
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- `AGENTS.md` § Canonical Invariants
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---
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## Summary
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| Aspect | Classical | Pure TNFR |
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|--------|-----------|-----------|
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| **Philosophy** | TNFR reproduces classical | Pure TNFR dynamics |
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| **Assumptions** | Newtonian gravity | None |
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| **Forces from** | -∇U (gravity) | Coherence/phase |
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| **Energy conservation** | ✓ Excellent | ⚠ Fair |
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| **Phase dynamics** | ✗ Not tracked | ✓ Evolved |
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| **Use for** | Validation, teaching | Research, exploration |
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**Both implementations are valuable** - they serve different purposes in understanding and applying TNFR physics!
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---
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**Document Version**: 1.0
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**Last Updated**: 2025-11-09
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**Status**: ✅ COMPLETE

examples/domain_applications/nbody_gravitational.py

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"""Classical N-body gravitational system demonstration using TNFR framework.
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This example demonstrates how classical mechanics emerges from TNFR as a
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low-dissonance coherence regime. The gravitational N-body problem becomes
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a network of resonant fractal nodes coupled through coherence potential.
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⚠️ **IMPORTANT**: This example ASSUMES Newtonian gravitational potential:
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U = -G*m₁*m₂/r
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This is an **external assumption**, NOT derived from TNFR physics!
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For a PURE TNFR formulation (no gravitational assumption), see:
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examples/domain_applications/nbody_tnfr_pure.py
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That implementation derives dynamics from coherence potential and phase
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synchronization, with NO assumptions about classical force laws.
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What This Example Shows
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------------------------
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This example demonstrates how TNFR can **reproduce** classical mechanics
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when we explicitly assume the classical potential. It shows:
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Key TNFR Concepts Demonstrated
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-------------------------------
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1. **Mass as inverse frequency**: m = 1/νf
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Particles with high mass have low reorganization rate (inertia)
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2. **Force as coherence gradient**: F = -∇U
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Gravitational force drives system toward higher coherence
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2. **Force as coherence gradient**: F = -∇U (ASSUMED U from gravity)
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Classical gravitational force mapped to TNFR framework
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3. **Nodal equation**: ∂EPI/∂t = νf · ΔNFR
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Particle trajectories emerge from structural evolution
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4. **Conservation laws emerge naturally**:
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Energy, momentum, angular momentum preserved
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Comparison:
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-----------
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**This script** (nbody_gravitational.py):
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- Assumes: U = -G*m₁*m₂/r (Newtonian gravity)
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- Computes: F = -∇U, then ΔNFR = F/m
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- Shows: TNFR can reproduce classical mechanics
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**Pure TNFR** (nbody_tnfr_pure.py):
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- Assumes: NOTHING (pure TNFR)
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- Computes: ΔNFR from Hamiltonian commutator
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- Shows: Attraction emerges from coherence/phase sync
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Examples shown:
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- Two-body circular orbit (Earth-Moon analogy)
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- Three-body figure-8 orbit (choreographic solution)
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- Solar system approximation (Sun + planets)
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Run this script to see TNFR structural dynamics reproducing classical mechanics!
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Run this script to see how TNFR reproduces classical mechanics
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when classical potentials are explicitly assumed!
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"""
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import numpy as np

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