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Exact Evolution Law for Canonical Path Ensembles with a Variance Controlled Precision Regime for Self-Organization

Georgi Yordanov Georgiev

Abstract

Self-organizing open systems sustained by source--sink fluxes transform stochastic motion into ordered behavior, yet a general dynamical criterion governing this transformation has not been established. Building on a stochastic--dissipative path-ensemble formulation, this work derives an exact kinematic law for evolving canonical path ensembles under time-dependent parameter variation, decomposing the dynamics of the average stochastic action into contributions from selectivity modulation and structural deformation. In the precision-driven regime, the evolution closes: the rate of change is governed by the variance, yielding strict monotonicity under increasing selectivity, plateaus under stationary selectivity, and broadening under decreasing selectivity. Self-organization corresponds to endogenous, feedback-driven parameter evolution that reduces the average action, with the precision-driven regime providing a Lyapunov realization, while more general structural evolution yields system-dependent behavior; externally prescribed variation corresponds to controlled evolution. These results establish an exact ensemble-level law for organization in open stochastic systems with directly testable signatures in measurable statistics.

Exact Evolution Law for Canonical Path Ensembles with a Variance Controlled Precision Regime for Self-Organization

Abstract

Self-organizing open systems sustained by source--sink fluxes transform stochastic motion into ordered behavior, yet a general dynamical criterion governing this transformation has not been established. Building on a stochastic--dissipative path-ensemble formulation, this work derives an exact kinematic law for evolving canonical path ensembles under time-dependent parameter variation, decomposing the dynamics of the average stochastic action into contributions from selectivity modulation and structural deformation. In the precision-driven regime, the evolution closes: the rate of change is governed by the variance, yielding strict monotonicity under increasing selectivity, plateaus under stationary selectivity, and broadening under decreasing selectivity. Self-organization corresponds to endogenous, feedback-driven parameter evolution that reduces the average action, with the precision-driven regime providing a Lyapunov realization, while more general structural evolution yields system-dependent behavior; externally prescribed variation corresponds to controlled evolution. These results establish an exact ensemble-level law for organization in open stochastic systems with directly testable signatures in measurable statistics.

Paper Structure

This paper contains 63 sections, 4 theorems, 26 equations, 2 tables.

Key Result

Lemma 1

Under Assumptions (A1)--(A4), differentiation of the canonical path measure yields and $\blacktriangleleft$$\blacktriangleleft$

Theorems & Definitions (9)

  • Definition 1: Stochastic--Dissipative Least Action Principle (SDLAP)
  • Lemma 1: Log-derivative identities for the canonical path measure
  • proof : Proof sketch
  • Definition 2: Average Action Principle (AAP)
  • Theorem 1: AAP under precision and structural deformation
  • proof : Proof sketch
  • Corollary 1: Precision-driven evolution law
  • Corollary 2: Regime classification under precision dynamics
  • Definition 3: Self-organization