Unfitted hybrid high-order methods stabilized by polynomial extension for elliptic interface problems
Erik Burman, Alexandre Ern, Romain Mottier
TL;DR
This work addresses elliptic interface problems on unfitted meshes by developing a high-order hybrid discretization (HHO) stabilized with polynomial extension to stabilize ill-cut cells. The method uses a gradient reconstruction defined on subcells, extended by a pairing operator that links ill-cut cells to neighboring well-cut cells, and employs a three-pronged stabilization (s_h^0, s_h^Γ, s_h^N) to guarantee stability and robustness to large contrasts in the diffusion coefficients. The authors prove stability, well-posedness, and optimal error estimates in the energy norm, with numerical results confirming convergence rates, robustness to coefficient contrasts, and favorable sparsity patterns. The approach enables high-order accuracy on fixed unfitted meshes without resorting to mesh modification, offering practical benefits for complex geometries and interfaces. Overall, the paper contributes a rigorous unfitted HHO framework with polynomial extension that delivers stable, high-order solutions for elliptic interface problems on general geometries.
Abstract
In this work, we study the design and analysis of a novel hybrid high-order (HHO) method on unfitted meshes. HHO methods rely on a pair of unknowns, combining polynomials attached to the mesh faces and the mesh cells. In the unfitted framework, the interface can cut through the mesh cells in a very general fashion, and the polynomial unknowns are doubled in the cut cells and the cut faces. In order to avoid the ill-conditioning issues caused by the presence of small cut cells, the novel approach introduced herein is to use polynomial extensions in the definition of the gradient reconstruction operator. Stability and consistency results are established, leading to optimally decaying error estimates. The theory is illustrated by numerical experiments.
