Phase transitions induced by noise cross-correlations

TL;DR

This paper develops a theoretical framework to analyze how noise cross-correlations induce various phase transitions in spatially extended stochastic systems with nonlinear damping, revealing symmetry breaking and complex transition behaviors.

Contribution

It introduces a modified cumulant expansion method to derive an effective Fokker-Planck equation accounting for noise cross-correlations and explores their role as bias fields causing diverse phase transitions.

Findings

Cross-correlations induce symmetry breaking in the distribution function.

Multiple types of noise-induced phase transitions are observed, including reentrant transitions.

Cross-correlations act as bias fields, influencing phase behavior.

Abstract

A general approach to consider spatially extended stochastic systems with correlations between additive and multiplicative noises subject to nonlinear damping is developed. Within modified cumulant expansion method, we derive an effective Fokker-Planck equation whose stationary solutions describe a character of ordered state. We find that fluctuation cross-correlations lead to a symmetry breaking of the distribution function even in the case of the zero-dimensional system. In general case, continuous, discontinuous and reentrant noise induced phase transitions take place. It is appeared the cross-correlations play a role of bias field which can induce a chain of phase transitions being different in nature. Within mean field approach, we give an intuitive explanation of the system behavior through an effective potential of thermodynamic type. This potential is written in the form of an expansion with coefficients defined by temperature, intensity of spatial coupling, auto- and cross-correlation times and intensities of both additive and multiplicative noises.