Steady-State Equilibrium and Nonequilibrium Noisy Network Dynamics

TL;DR

This paper investigates the fluctuating dynamics of noisy networks around their steady states, deriving conditions for equilibrium and non-equilibrium behaviors, and connecting these to physical Brownian dynamics and network reconstruction.

Contribution

It introduces a comprehensive theoretical framework for analyzing steady-state and non-equilibrium noisy network dynamics, including fluctuation-dissipation relations and connections to physical systems.

Findings

Derived conditions for equilibrium and NESS in noisy networks.

Connected overdamped Brownian dynamics to general noisy network models.

Established a fluctuation-dissipation relation for non-equilibrium networks.

Abstract

The fluctuating dynamics of a network about its stable, noise-free steady state are theoretically investigated. Various causes of non-equilibrium dynamics are identified in terms of the properties and symmetry of the network connections and the noise covariance matrices. Several equivalent conditions are derived for the dynamics of the noisy network at equilibrium. In particular, non-equilibrium steady state (NESS) dynamics are analyzed in terms of the steady-state probability current and the drift velocity relative to the effective potential surface. Conventional physical Brownian dynamics for overdamped fluctuating dynamics is analyzed from the perspective of the linearized fluctuating noisy network dynamics. Connection with the network reconstruction from time-series data is discussed. It is demonstrated that the overdamped Brownian dynamics in the physical system is a special case of the general noisy directed network in a NESS. Furthermore, a general fluctuation-dissipation relation is derived for the general non-equilibrium noisy network dynamics. These theoretical results are verified by numerical simulations.