Solitary waves of moderate amplitude in the SSGGN equations: the extended KdV-Whitham approximation
Benjamin Martin, Dmitri Tseluiko, Karima Khusnutdinova
TL;DR
The paper addresses moderately nonlinear surface waves by juxtaposing the extended KdV (eKdV) model with its slow-time and slow-space formulations against the 1D SSGGN parent system. A Whitham-based regularization is proposed to mitigate resonant radiation inherent in the slow-time eKdV, yielding the extended KdV–Whitham (eKdVW) model, while the slow-space formulation inherently avoids resonance. Through Kodama–Fokas–Liu near-identity transformations, the authors construct $O(\epsilon^2)$ accurate solitary-wave approximations and compare them to exact SSGGN solitons and Gardner-type reductions. Numerical experiments reveal that eKdV in slow time can exhibit resonant fronts, whereas slow-space regularization and especially the eKdVW model provide superior agreement with the parent system, particularly when radiative content is high or for negative amplitudes. An IST-based, conservation-law framework is proposed to predict the most suitable reduced model a priori, highlighting practical implications for efficiently simulating moderately nonlinear surface waves.
Abstract
We consider the extended Korteweg-de Vries (eKdV) equation as a model for long moderately nonlinear surface water waves. In the slow time formulation this equation generates fast propagating resonant radiation due to the non-convexity of its linear dispersion curve, which is not present in the strongly nonlinear Serre-Su-Gardner-Green-Naghdi (SSGGN) parent system. We show that the extended KdV-Whitham approximation and the slow space formulation of the eKdV equation are suitable regularisations of the eKdV equation in several cases of interest, and even for moderate amplitudes. Numerical comparisons are made between the SSGGN system and the respective reduced models, where simulations are initiated with an approximate soliton solution of the eKdV equation, constructed by use of Kodama-Fokas-Liu near-identity transformation to the KdV equation.
