Constrained and unconstrained stable discrete minimizations for p-robust local reconstructions in vertex patches in the de Rham complex
T. Chaumont-Frelet, M. Vohralik
TL;DR
The paper develops a complete, $p$-robust theory for constrained and unconstrained local minimizations in the De Rham complex on vertex patches in 3D. It introduces a unified framework for $H^1$, $H( ext{curl})$, and $H( ext{div})$ minimizations using Raviart–Thomas and Nédélec spaces, with constants depending only on patch shape-regularity and independent of the polynomial degree $p$. The core contribution is a new $H( ext{curl})$-constrained minimization result and an extended, boundary-patch theory that covers the full De Rham diagram, including a rigorous treatment via equivalent parachute and reference-tetrahedron patches. The findings underpin stable local commuting projectors and local-best/global-best equivalences, with direct implications for $p$-robust a posteriori error estimation and a posteriori estimator efficiency. Overall, the work completes the De Rham-local-minimization toolbox in 3D and strengthens the theoretical foundation for stable, $p$-robust finite element analysis.
Abstract
We analyze constrained and unconstrained minimization problems on patches of tetrahedra sharing a common vertex with discontinuous piecewise polynomial data of degree p. We show that the discrete minimizers in the spaces of piecewise polynomials of degree p conforming in the H1, H(curl), or H(div) spaces are as good as the minimizers in these entire (infinite-dimensional) Sobolev spaces, up to a constant that is independent of p. These results are useful in the analysis and design of finite element methods, namely for devising stable local commuting projectors and establishing local-best/global-best equivalences in a priori analysis and in the context of a posteriori error estimation. Unconstrained minimization in H1 and constrained minimization in H(div) have been previously treated in the literature. Along with improvement of the results in the H1 and H(div) cases, our key contribution is the treatment of the H(curl) framework. This enables us to cover the whole De Rham diagram in three space dimensions in a single setting.
