Interplay of Thermalization and Strong Disorder: Wave Turbulence Theory, Numerical Simulations, and Experiments in Multimode Optical Fibers

We address the problem of thermalization in the presence of a time-dependent disorder in the framework of the nonlinear Schr??dinger (or Gross-Pitaevskii) equation with a random potential. The thermalization to the Rayleigh-Jeans distribution is driven by the nonlinearity. On the other hand, the structural disorder is responsible for a relaxation toward the homogeneous equilibrium distribution (particle equipartition), which thus inhibits thermalization (energy equipartition). On the basis of the wave turbulence theory, we derive a kinetic equation that accounts for the presence of strong disorder. The theory unveils the interplay of disorder and nonlinearity. It unexpectedly reveals that a nonequilibrium process of condensation and thermalization can take place in the regime where disorder effects dominate over nonlinear effects. We validate the theory by numerical simulations of the nonlinear Schr??dinger equation and the derived kinetic equation, which are found in quantitative agreement without using any adjustable parameter. Experiments realized in multimode optical fibers with an applied external stress evidence the process of thermalization in the presence of strong disorder.

Automated summary

In this study, we address the problem of thermalization in a time-dependent disorder system described by the nonlinear Schrödinger equation with a random potential. The nonlinearity drives the particles to thermalize to the Rayleigh-Jeans distribution, while the structural disorder relaxes the system towards a homogeneous equilibrium distribution, inhibiting thermalization. By applying the wave turbulence theory, we derive a kinetic equation that takes into account the presence of strong disorder and reveals the interplay between disorder and nonlinearity. Surprisingly, we find that a nonequilibrium process of condensation and thermalization can occur when disorder effects dominate over nonlinear effects.