fokker-planck-analyzer

Layer 5: Convergence to Equilibrium Analysis

Version: 1.0.0 Trit: -1 (Validator - verifies steady state) Bundle: analysis Status: ✅ New (validates Fokker-Planck convergence)

Overview

Fokker-Planck Analyzer verifies that neural network training via Langevin dynamics has reached equilibrium. It checks whether the empirical weight distribution matches the theoretical Gibbs distribution predicted by Fokker-Planck theory.

Key Insight: Training that stops before reaching mixing time (τ_mix) ends up in different regions of the loss landscape than continuous theory predicts. This skill detects that gap.

The Fokker-Planck Equation