Rogue wave statistics and integrable turbulence in the Gerdjikov-Ivanov equation

TL;DR

This study numerically explores rogue wave statistics and turbulence mechanisms in the Gerdjikov-Ivanov equation, revealing how initial disturbance intensity influences rogue wave probability and turbulence type.

Contribution

It provides new insights into the statistical properties and evolution of rogue waves in integrable turbulence modeled by the GI equation.

Findings

Higher initial disturbance leads to faster convergence to chaos.

Increased disturbance heightens rogue wave probability.

Wave-action spectrum remains asymmetric over time.

Abstract

This paper numerically investigates the statistical properties of rogue waves and their generation mechanisms in integrable turbulence, taking the Gerdjikov-Ivanov (GI) equation as the research object. The eigenvalue spectra of the analytical solutions and the chaotic wave field are calculated using the Fourier collocation method. Subsequently, taking a plane wave with random noise as the initial condition, the evolution of chaotic wave fields is simulated using the split-step Fourier (SSF) method. Numerical results show that the larger the initial disturbance intensity, the faster the wave field converges to a chaotic state, and the higher the peak amplitude after convergence, the higher the tail of the probability density function, and the significantly higher probability of rogue wave occurrence. Moreover, as the initial disturbance intensity increases, the turbulence type transitions from breather turbulence to soliton turbulence. In addition, the evolution of the wave-action spectrum is studied. The research has found that the wave-action spectrum of the GI equation shows an asymmetric distribution during the time evolution process, and this asymmetry persists even after the system reaches a steady state.