A Superconvergent HDG Method for Distributed Control of Convection Diffusion PDEs


We consider a distributed optimal control problem governed by an elliptic convection diffusion PDE, and propose a hybridizable discontinuous Galerkin method to approximate the solution. We use polynomials of degree k + 1 to approximate the state and dual state, and polynomials of degree k ≥ 0 to approximate their fluxes. Moreover, we use polynomials of degree k to approximate the numerical traces of the state and dual state on the faces, which are the only globally coupled unknowns. We prove optimal a priori error estimates for all variables when k ≥ 0. Furthermore, from the point of view of the number of degrees of freedom of the globally coupled unknowns, this method achieves superconvergence for the state, dual state, and control when k ≥ 1. We illustrate our convergence results with numerical experiments.


Mathematics and Statistics

Research Center/Lab(s)

Center for High Performance Computing Research

Keywords and Phrases

Convection diffusion equation; Distributed optimal control; Error analysis; Hybridizable discontinuous Galerkin method; Superconvergence

International Standard Serial Number (ISSN)

0885-7474; 1573-7691

Document Type

Article - Journal

Document Version


File Type





© 2018 Springer, All rights reserved.

Publication Date

01 Sep 2018