A tangential and penalty-free finite element method for the surface Stokes problem
Alan Demlow, Michael Neilan

TL;DR
This paper introduces a robust, penalty-free finite element method for the surface Stokes problem, enabling stable and accurate approximation of tangential velocity fields without penalization or Lagrange multipliers.
Contribution
It constructs surface MINI spaces with tangential velocity fields that are not $H^1$-conforming but lie in $H({ m div})$, providing a systematic approach for divergence-conforming surface Stokes discretizations.
Findings
Proves stability and optimal convergence of the method.
Demonstrates optimal-order convergence in numerical experiments.
Provides a new technique for constructing surface Stokes finite element spaces.
Abstract
Surface Stokes and Navier-Stokes equations are used to model fluid flow on surfaces. They have attracted significant recent attention in the numerical analysis literature because approximation of their solutions poses significant challenges not encountered in the Euclidean context. One challenge comes from the need to simultaneously enforce tangentiality and conformity (continuity) of discrete vector fields used to approximate solutions in the velocity-pressure formulation. Existing methods in the literature all enforce one of these two constraints weakly either by penalization or by use of Lagrange multipliers. Missing so far is a robust and systematic construction of surface Stokes finite element spaces which employ nodal degrees of freedom, including MINI, Taylor-Hood, Scott-Vogelius, and other composite elements which can lead to divergence-conforming or pressure-robust…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Computational Fluid Dynamics and Aerodynamics · Fluid Dynamics and Turbulent Flows
