A Hybridized Discontinuous Galerkin Method for A Linear Degenerate Elliptic Equation Arising from Two-Phase Mixtures
Shinhoo Kang, Tan Bui-Thanh, Todd Arbogast

TL;DR
This paper introduces a high-order hybridized discontinuous Galerkin method for a linear degenerate elliptic equation from two-phase mixtures, providing theoretical error estimates and numerical validation for both non-degenerate and degenerate cases.
Contribution
The paper develops a novel HDG method with proven well-posedness, optimal convergence rates for non-degenerate problems, and superconvergence enhancements, specifically addressing degenerate elliptic equations.
Findings
Optimal convergence for non-degenerate problems
Sub-optimal convergence for degenerate problems
Superconvergence rates observed in numerical tests
Abstract
We develop a high-order hybridized discontinuous Galerkin (HDG) method for a linear degenerate elliptic equation arising from a two-phase mixture of mantle convection or glacier dynamics. We show that the proposed HDG method is well-posed by using an energy approach. We derive error estimates for the proposed HDG method on simplicial meshes in both two- and three-dimensions. The error analysis shows that the convergence rates are optimal for both the scaled pressure and the scaled velocity for non-degenerate problems and are sub-optimal by half order for degenerate ones. Several numerical results are presented to confirm the theoretical estimates. We also enhance the HDG solutions by post-processing. The superconvergence rates of and are observed for both a non-degenerate case and a degenerate case away from the degeneracy. Degenerate problems…
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