A Hybridized Formulation for the Weak Galerkin Mixed Finite Element Method
Lin Mu, Junping Wang, Xiu Ye

TL;DR
This paper introduces a hybridized formulation for the weak Galerkin mixed finite element method, reducing computational complexity and providing optimal error estimates for second order elliptic equations.
Contribution
It develops a hybridized version of WG-MFEM that simplifies the linear system and achieves superconvergence, with theoretical error bounds and numerical validation.
Findings
Reduced linear system involving only Lagrange multipliers
Optimal-order error estimates for hybridized WG-MFEM
Numerical results confirm superconvergence and theoretical predictions
Abstract
This paper presents a hybridized formulation for the weak Galerkin mixed finite element method (WG-MFEM) which was introduced and analyzed for second order elliptic equations. The WG-MFEM method was designed by using discontinuous piecewise polynomials on finite element partitions consisting of polygonal or polyhedral elements of arbitrary shape. The key to WG-MFEM is the use of a discrete weak divergence operator which is defined and computed by solving inexpensive problems locally on each element. The hybridized formulation of this paper leads to a significantly reduced system of linear equations involving only the unknowns arising from the Lagrange multiplier in hybridization. Optimal-order error estimates are derived for the hybridized WG-MFEM approximations. Some numerical results are reported to confirm the theory and a superconvergence for the Lagrange multiplier.
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 Numerical Methods in Computational Mathematics · Numerical methods in engineering · Electromagnetic Simulation and Numerical Methods
