A weak Galerkin least squares finite element method for linear convection equations in non-divergence form
Chunmei Wang, Shangyou Zhang

TL;DR
This paper introduces a weak Galerkin least-squares finite element method for linear convection equations in non-divergence form, achieving optimal error estimates without coercivity assumptions, applicable to complex meshes.
Contribution
It develops a novel WG--LS method that handles non-divergence form equations with minimal regularity and produces symmetric positive definite systems.
Findings
Optimal-order error estimates are established.
Numerical experiments confirm theoretical convergence.
Method demonstrates high accuracy and efficiency.
Abstract
This article develops a weak Galerkin least-squares (WG--LS) finite element method for first-order linear convection equations in non-divergence form. The method is formulated using discontinuous finite element functions and does not require any coercivity assumption on the convection vector or reaction coefficient. The resulting discrete problem leads to a symmetric and positive definite linear system and is applicable to general polygonal and polyhedral meshes. Under minimal regularity assumptions on the coefficients, optimal-order error estimates are established for the WG--LS approximation in a suitable energy norm. Numerical experiments are presented to confirm the theoretical convergence results and to demonstrate the accuracy and efficiency of the proposed method.
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Numerical methods in engineering · Matrix Theory and Algorithms
