An arbitrary order Reconstructed Discontinuous Approximation to Fourth-order Curl Problem
Ruo Li, Qicheng Liu, Shuhai Zhao
TL;DR
This work develops an arbitrary-order reconstructed discontinuous Galerkin method for the fourth-order curl problem, leveraging a patch-based local least-squares reconstruction to form a low-DOF, high-accuracy space within a symmetric IPDG framework. The authors prove coercivity, continuity, and optimal a priori error estimates in the energy norm and in $L^2$, assuming a uniform bound on the reconstruction constant $\Lambda_m$, and validate the theory with numerical experiments in 2D and 3D. The reconstruction-based approach yields high-order convergence with fewer degrees of freedom, offering a flexible and efficient tool for complex electromagnetism and MHD applications. The work also provides practical guidance for computing $\Lambda_m$ and discusses future directions for efficiency and extensions.
Abstract
We present an arbitrary order discontinuous Galerkin finite element method for solving the fourth-order curl problem using a reconstructed discontinuous approximation method. It is based on an arbitrarily high-order approximation space with one unknown per element in each dimension. The discrete problem is based on the symmetric IPDG method. We prove a priori error estimates under the energy norm and the L^2 norm and show numerical results to verify the theoretical analysis.
