Superconvergence in a DPG method for an ultra-weak formulation
For researchers in numerical methods for PDEs, this work provides an incremental improvement in convergence analysis for DPG methods.
The paper improves convergence rates for a DPG method applied to reaction-diffusion problems, achieving superconvergence through a postprocessing technique. Numerical experiments suggest the results extend beyond the specific model problem.
In this work we study a DPG method for an ultra-weak variational formulation of a reaction-diffusion problem. We improve existing a priori convergence results by sharpening an approximation result for the numerical flux. By duality arguments we show that higher convergence rates for the scalar field variable are obtained if the polynomial order of the corresponding approximation space is increased by one. Furthermore, we introduce a simple elementwise postprocessing of the solution and prove superconvergence. Numerical experiments indicate that the obtained results are valid beyond the underlying model problem.