Rigorous Asymptotic Models of Water Waves
C.H. Arthur Cheng, Rafael Granero-Belinchon, Steve Shkoller and, Jon Wilkening

TL;DR
This paper rigorously derives and analyzes asymptotic models for water waves that incorporate full nonlinearity up to quadratic and cubic interactions, providing theoretical proofs and numerical validation for their accuracy and well-posedness.
Contribution
The paper introduces two new asymptotic water wave models, the quadratic and cubic h-models, with proven well-posedness and error bounds, and develops a numerical algorithm demonstrating their accuracy.
Findings
Models accurately predict water wave behavior even at large steepness.
Error bounds established for the asymptotic models against full water wave solutions.
Numerical simulations confirm the models' effectiveness and show phenomena like corner formation.
Abstract
We develop a rigorous asymptotic derivation for two mathematical models of water waves that capture the full nonlinearity of the Euler equations up to quadratic and cubic interactions, respectively. Specifically, letting epsilon denote an asymptotic parameter denoting the steepness of the water wave, we use a Stokes expansion in epsilon to derive a set of linear recursion relations for the tangential component of velocity, the stream function, and the water wave parameterization. The solution of the water waves system is obtained as an infinite sum of solutions to linear problems at each epsilon^k level, and truncation of this series leads to our two asymptotic models, that we call the quadratic and cubic h-models. Using the growth rate of the Catalan numbers (from number theory), we prove well-posedness of the h-models in spaces of analytic functions, and prove error bounds for…
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Taxonomy
TopicsOcean Waves and Remote Sensing · Navier-Stokes equation solutions · Geophysics and Gravity Measurements
