Items filtered by date: Monday, 05 October 2026

Quyuan Lin, Changhui Tan

Abstract

We establish global well-posedness of classical solutions to the two-dimensional primitive equations with fractional horizontal dissipation for arbitrarily large initial data in the full subcritical range \(1<\alpha\leq2\). Together with the known ill-posedness results for \(0\leq\alpha<1\), this establishes the sharp dissipation threshold for large-data global well-posedness in the corresponding solution framework.

The key ingredient is a hydrostatic energy estimate obtained by splitting the nonlinear energy into symmetric and antisymmetric parts and exploiting the commutator structure of the latter. Using anisotropy and incompressibility, we bound the nonlinear energy by the \(L^\infty\) norm of the hydrostatic vorticity times a quadratic velocity norm with only one-half additional horizontal derivative. The vorticity maximum principle then yields enhanced velocity bounds, which close the vorticity estimates and verify the continuation criterion throughout the subcritical regime.

	This work is supported by NSF grants DMS #2238219
	This work is supported by a USC VPR ASPIRE grant