Multigrid algorithms for $hp$-version Interior Penalty Discontinuous Galerkin methods on polygonal and polyhedral meshes
Provides theoretical convergence guarantees for multigrid solvers in a challenging hp-adaptive DG setting on general meshes, though the analysis is incremental over existing multigrid theory.
The authors analyze multigrid solvers for hp-version discontinuous Galerkin methods on polygonal/polyhedral meshes, proving uniform convergence with respect to mesh size and polynomial degree when smoothing steps are sufficiently large. Numerical experiments confirm the theory.
In this paper we analyze the convergence properties of two-level and W-cycle multigrid solvers for the numerical solution of the linear system of equations arising from hp-version symmetric interior penalty discontinuous Galerkin discretizations of second-order elliptic partial differential equations on polygonal/polyhedral meshes. We prove that the two-level method converges uniformly with respect to the granularity of the grid and the polynomial approximation degree p, provided that the number of smoothing steps, which depends on p, is chosen sufficiently large. An analogous result is obtained for the W-cycle multigrid algorithm, which is proved to be uniformly convergent with respect to the mesh size, the polynomial approximation degree, and the number of levels, provided the number of smoothing steps is chosen sufficiently large. Numerical experiments are presented which underpin the theoretical predictions; moreover, the proposed theoretical assumptions are not fully satisfied.