A Theoretical Review of Area Production Rates as Test Statistics for Detecting Nonequilibrium Dynamics in Ornstein-Uhlenbeck Processes

TL;DR

This paper reviews area production rates as indicators of nonequilibrium in Ornstein-Uhlenbeck processes and introduces a weighted Frobenius norm as an optimal test statistic for detecting such behavior, also estimating entropy production.

Contribution

It demonstrates that the weighted Frobenius norm of the area production rate matrix is the optimal linear test statistic for nonequilibrium detection in OU processes.

Findings

Weighted Frobenius norm decays faster than other observables.

Test statistic effectively estimates entropy production.

Provides a theoretical foundation for nonequilibrium detection.

Abstract

A stochastic process is at thermodynamic equilibrium if it obeys time-reversal symmetry; forward and reverse time are statistically indistinguishable at steady state. Non-equilibrium processes break time-reversal symmetry by maintaining circulating probability currents. In physical processes, these currents require a continual use and exchange of energy. Accordingly, signatures of non-equilibrium behavior are important markers of energy use in biophysical systems. In this article we consider a particular signature of nonequilibrium behavior: area production rates. These are, the average rate at which a stochastic process traces out signed area in its projections onto coordinate planes. Area production is an example of a linear observable: a path integral over an observed trajectory against a linear vector field. We provide a summary review of area production rates in Ornstein-Uhlenbeck (OU) processes. Then, we show that, given an OU process, a weighted Frobenius norm of the area production rate matrix is the optimal test statistic for detecting nonequilibrium behavior in the sense that its coefficient of variation decays faster in the length of time observed than the coefficient of variation of any other linear observable. We conclude by showing that this test statistic estimates the entropy production rate of the process.