Global Well-Posedness for the 2D and 3D Prandtl-Shercliff Model
Wei-Xi Li, Zhan Xu, Anita Yang
TL;DR
This work proves global well-posedness for the 2D Prandtl-Shercliff model in Sobolev spaces without structural data and establishes a global analytic smoothing effect in all variables, leveraging the intrinsic nonlocal diffusion from the Shercliff layer. It also analyzes a 3D linearized variant around a shear flow, proving global well-posedness for data analytic in a single tangential direction and obtaining space-time analyticity with anisotropic diffusion radii. The approach combines energy methods in anisotropic weighted Sobolev spaces for the 2D problem with a refined analytic framework using $X_r$/$Z_r$-type norms, and a weighted-Lebesgue decay theory for the 3D linearized problem, including linearly-good unknowns to capture decay. The results highlight the stabilizing influence of nonlocal Shercliff diffusion on boundary-layer dynamics and provide sharp analyticity radii that reflect anisotropic diffusion along tangential and vertical directions.
Abstract
We investigate the Prandtl-Shercliff model in both two and three dimensions. For the two-dimensional case, we establish global-in-time well-posedness in Sobolev spaces without any structural assumptions on the initial data. Furthermore, we show that the solution exhibits an analytic regularization effect in all variables, which holds globally in time and in space up to the boundary. For the three-dimensional case, we study a linearized version of the model and prove its global-in-time well-posedness for initial data that are analytic in only one tangential direction. The proofs rely crucially on the intrinsic non-local diffusion induced by the Shercliff boundary layer.
