On the boundary layer arising from fast internal waves dynamics
Rupert Klein, Xin Liu
TL;DR
This work analyzes boundary-layer dynamics arising from fast internal waves in the Boussinesq system with a Brunt–Vaisala frequency scaled as $1/\varepsilon$. By performing a boundary-layer expansion and employing an $\iota$-approximation with frozen transport, the authors derive an inviscid boundary-layer model near $z=0$ and prove a local-in-time well-posedness result for the nonlinear boundary-layer system in spaces of analytic functions, with exponential decay in the stretched vertical coordinate $\eta$. The analysis combines uniform-in-$\iota$ $H^s$ estimates for the approximating problems and a contraction mapping in analytic spaces to obtain existence and uniqueness, while clarifying the absence of feedback from the boundary layer to the bulk in this framework. The results provide a rigorous foundation for near-boundary fast internal-wave dynamics and set the stage for future multi-scale couplings between bulk and boundary-layer processes in stratified geophysical flows.
Abstract
In this paper, we investigate the boundary layer arising from the fast internal waves in the Boussinesq equations with the Brunt-Vaisälä frequency of order $ \mathcal O(1/\varepsilon) $. For the homogeneous-in-height stratification, previous work by \emph{Desjardins, Lannes, Saut, 3(1):153--192, Water Waves, 2021} establishes uniform-in-$ε$ estimates locally in time, with additional constraints on the boundary data initially, which essentially restricts the dynamics in the spatially periodic domain. Removing such constraints, our goal is to investigate the general near-boundary behavior. We observe that the fast internal waves will give rise to large growth of the spatial derivatives in the normal direction of the solutions in the vicinity of the boundary. To capture this phenomenon, we introduce an inviscid boundary layer using a natural scaling. In addition, we investigate the well-posedness of such a boundary layer system in the space of analytic functions.
