A New HDG Method for Dirichlet Boundary Control of Convection Diffusion PDEs I: High Regularity
Weiwei Hu, Mariano Mateos, John R. Singler, Yangwen Zhang

TL;DR
This paper introduces a novel HDG method for Dirichlet boundary control problems governed by convection diffusion PDEs, providing theoretical analysis and optimal error estimates, with numerical validation.
Contribution
The paper develops a new HDG approach for convection diffusion Dirichlet control problems, including well-posedness, regularity results, and optimal error estimates in 2D.
Findings
Established well-posedness and regularity for the control problem
Derived optimal a priori error estimates in 2D
Numerical experiments confirm the effectiveness of the HDG method
Abstract
We propose a new hybridizable discontinuous Galerkin (HDG) method to approximate the solution of a Dirichlet boundary control problem governed by an elliptic convection diffusion PDE. Even without a convection term, Dirichlet boundary control problems are well-known to be very challenging theoretically and numerically. Although there are many works in the literature on Dirichlet boundary control problems for the Poisson equation, the authors are not aware of any existing theoretical or numerical analysis works for convection diffusion Dirichlet control problems. We make two contributions. First, we obtain well-posedness and regularity results for the Dirichlet control problem. Second, under certain assumptions on the domain and the target state, we obtain optimal a priori error estimates in 2D for the control for the new HDG method. As far as the authors are aware, there are no existing…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Advanced Numerical Methods in Computational Mathematics · Differential Equations and Numerical Methods
