Crossover Between Organized and Disorganized States In Some Non-Equilibrium Systems

TL;DR

This paper investigates the transition between organized and disorganized states in three non-equilibrium systems using numerical simulations, analyzing spacing distributions and proposing models to quantify order and disorder.

Contribution

It introduces analytical models based on the Berry-Robnik model to describe the crossover in different non-equilibrium systems and compares their statistical behaviors.

Findings

Nearest neighbor distribution fits the Berry-Robnik model.

Level repulsion diminishes during crossover.

Correlations vary among systems, affecting modeling accuracy.

Abstract

We study numerically the crossover between organized and disorganized states of three non-equilibrium systems: the Poisson/coalesce random walk (PCRW), a one-dimensional spin system and a quasi one-dimensional lattice gas. In all cases, we describe this crossover in terms of the average spacing between particles/domain borders $< S(t) >$ and the spacing distribution functions $p^{(n)}(s)$. The nature of the crossover is not the same for all systems, however, we found that for all systems the nearest neighbor distribution $p^{(0)}(s)$ is well fitted by the Berry-Robnik model. The destruction of the level repulsion in the crossover between organized an disorganized states is present in all systems. Additionally, we found that the correlations between domains in the gas and spin systems are not strong and can be neglected in a first approximation but for the PCRW the correlations between particles must be taken into account. To find $p^{(n)}(s)$ with $n>1$, we propose two different analytical models based on the Berry-Robnik model. Our models give us a good approximation for the statistical behavior of these systems in their crossover and allow us to quantify the degree of order/disorder of the system.