$H(\textrm{div})$-conforming Finite Element Tensors with Constraints
Long Chen, Xuehai Huang
TL;DR
The article develops a unified construction of $H(\operatorname{div})$-conforming finite element tensors, including vector, symmetric, and traceless types, by integrating a geometric decomposition of Lagrange elements with tangent-normal decompositions on sub-simplices. It introduces a constraint tensor space $\mathbb X = \ker(s^{k,n-1})$ within a differential-form framework, provides intrinsic bases and projection formulae, and builds explicit $H(\operatorname{div})$-conforming spaces with robust DoFs and discrete inf-sup stability. The framework encompasses classical elements (BDM, Stenberg, CHH) as special cases and supports arbitrary dimensions, aided by face redistribution to achieve stable trace and divergence properties. This yields a systematic, basis-explicit method for stable, constrained tensor discretizations applicable to elasticity, relativity, and related PDEs, with clear pathways for extending to various symmetry and constraint patterns. Overall, the work offers a cohesive, dimension-agnostic toolkit for designing and analyzing $H(\operatorname{div})$-conforming tensor finite elements with intrinsic bases and provable stability.
Abstract
A unified construction of $H(\textrm{div})$-conforming finite element tensors, including vector element, symmetric matrix element, traceless matrix element, and, in general, tensors with linear constraints, is developed in this work. It is based on the geometric decomposition of Lagrange elements into bubble functions on each sub-simplex. Each tensor at a sub-simplex is decomposed into tangential and normal components. The tangential component forms the bubble function space, while the normal component characterizes the trace. Some degrees of freedom can be redistributed to $(n-1)$-dimensional faces. The developed finite element spaces are $H(\textrm{div})$-conforming and satisfy the discrete inf-sup condition. Intrinsic bases of the constraint tensor space are also established.
