A Hybrid High-Order method for the steady incompressible Navier--Stokes problem

TL;DR

This paper introduces a new Hybrid High-Order method for steady incompressible Navier-Stokes equations that is stable, supports high approximation orders, and achieves optimal convergence rates under certain conditions.

Contribution

The paper presents a novel Hybrid High-Order method that is inf-sup stable on general meshes, supports arbitrary approximation orders, and demonstrates convergence and optimal rates.

Findings

Method is inf-sup stable on polyhedral meshes.

Convergence to exact solutions is proven under general assumptions.

Achieves optimal convergence rates for velocity and pressure norms.

Abstract

In this work we introduce and analyze a novel Hybrid High-Order method for the steady incompressible Navier-Stokes equations. The proposed method is inf-sup stable on general polyhedral meshes, supports arbitrary approximation orders, and is (relatively) inexpensive thanks to the possibility of statically condensing a subset of the unknowns at each nonlinear iteration. We show under general assumptions the existence of a discrete solution, which is also unique provided a data smallness condition is verified. Using a compactness argument, we prove convergence of the sequence of discrete solutions to minimal regularity exact solutions for general data. For more regular solutions, we prove optimal convergence rates for the energy-norm of the velocity and the $L^2$-norm of the pressure under a standard data smallness assumption. More precisely, when polynomials of degree $k\ge 0$ at mesh elements and faces are used, both quantities are proved to converge as $h^{k+1}$ (with $h$ denoting the meshsize).