TNFR Dynamics — Canonical Module Hub (Single Source of Truth)

Centralized entry point for nodal equation integration and dynamical evolution. English-only; links consolidate authoritative references and avoid duplication.

• Core equation: ∂EPI/∂t = νf · ΔNFR (see TNFR.pdf §1–2)
• Canonical physics and invariants: AGENTS.md
• Unified grammar derivations (U1–U6): UNIFIED_GRAMMAR_RULES.md
• Computational mathematics hub: src/tnfr/mathematics/README.md
• Structural fields (telemetry): src/tnfr/physics/README.md

Scope

• Adelic Dynamics (New): adelic.py - Implements the "First Principles" flow towards Riemann Zeros.
• Nodal integration and solvers: integrators.py, steppers.py (if present), nodal_equation.py
• Stability and boundedness checks (U2): helper routines in this package
• Hooks for operator application within integration steps

Guarantees

• Unitarity (Gap 5): Adelic operators preserve information via Gauss Sum scaling.
• Integrators respect grammar constraints: generators at start, closure at end (U1)
• Convergence monitored via ∫ νf·ΔNFR dt with stabilizers where required (U2)
• Bifurcation control: triggers {OZ, ZHIR} must have handlers {THOL, IL} (U4)

Usage

# Standard Nodal Equation
from tnfr.dynamics.nodal_equation import step
EPI_next = step(G, dt=1.0)

# Adelic Dynamics (Riemann Flow)
from tnfr.dynamics.adelic import AdelicDynamics
engine = AdelicDynamics(max_prime=100)
gradient = engine.compute_nodal_gradient(t=14.13)

Tests

• See tests/ for latency invariance under Silence, convergence checks, and propagation behavior.

No redundancy policy

This README links out to canonical documents and implementation files; it deliberately avoids restating theory already covered centrally. This README links out to canonical documents and implementation files; it deliberately avoids restating theory already covered centrally.