Second harmonic generation as a minimal model of turbulence

TL;DR

This paper investigates how second harmonic generation models turbulence, revealing that noise and interaction strength significantly influence statistical independence, phase correlation, and information encoding in far-from-equilibrium systems.

Contribution

It introduces a minimal model linking second harmonic generation to turbulence, analyzing the effects of noise and interaction on statistical properties and information measures.

Findings

Gaussian statistics in thermostat-contact modes despite strong interaction

Non-Gaussian statistics in driven-dissipative cascades regardless of noise levels

Interaction strength inversely affects mutual information and entropy in the system

Abstract

When two resonantly interacting modes are in contact with a thermostat, their statistics is exactly Gaussian and the modes are statistically independent despite strong interaction. Considering noise-driven system, we show that when one mode is pumped and another dissipates, the statistics (of such cascades) is never close to Gaussian no matter the interaction/noise relation. One finds substantial phase correlation in the limit of strong interaction (weak noise). Surprisingly, for both cascades, the mutual information between modes increases and entropy further decreases when interaction strength decreases. We use the model to elucidate the fundamental problem of far-from equilibrium physics: where the information (entropy deficit) is encoded and how singular measures form. For an instability-driven system (a laser), even a small added noise leads to large fluctuations of the relative phase near the stability threshold, while far from it we show that the conversion into the second harmonic is weakly affected by noise.