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Discrete reliability for high-order Crouzeix--Raviart finite elements

Nis-Erik Bohne, Stefan A. Sauter

Abstract

In this paper, the adaptive numerical solution of a 2D Poisson model problem by Crouzeix-Raviart elements ($\operatorname*{CR}_{k}$ $\operatorname*{FEM}$) of arbitrary odd degree $k\geq1$ is investigated. The analysis is based on an established, abstract theoretical framework: the \textit{axioms of adaptivity} imply optimal convergence rates for the adaptive algorithm induced by a residual-type a posteriori error estimator. Here, we introduce the error estimator for the $\operatorname*{CR}_{k}$ $\operatorname*{FEM}$ discretization and our main theoretical result is the proof ot Axiom 3: \textit{discrete reliability}. This generalizes results for adaptive lowest order $\operatorname*{CR}_{1}$ $\operatorname*{FEM}$ in the literature. For this analysis, we introduce and analyze new local quasi-interpolation operators for $\operatorname*{CR}_{k}$ $\operatorname*{FEM}$ which are key for our proof of discrete reliability. We present the results of numerical experiments for the adaptive version of $\operatorname*{CR}_{k}$ $\operatorname*{FEM}$ for some low and higher (odd) degrees $k\geq1$ which illustrate the optimal convergence rates for all considered values of $k$.

Discrete reliability for high-order Crouzeix--Raviart finite elements

Abstract

In this paper, the adaptive numerical solution of a 2D Poisson model problem by Crouzeix-Raviart elements ( ) of arbitrary odd degree is investigated. The analysis is based on an established, abstract theoretical framework: the \textit{axioms of adaptivity} imply optimal convergence rates for the adaptive algorithm induced by a residual-type a posteriori error estimator. Here, we introduce the error estimator for the discretization and our main theoretical result is the proof ot Axiom 3: \textit{discrete reliability}. This generalizes results for adaptive lowest order in the literature. For this analysis, we introduce and analyze new local quasi-interpolation operators for which are key for our proof of discrete reliability. We present the results of numerical experiments for the adaptive version of for some low and higher (odd) degrees which illustrate the optimal convergence rates for all considered values of .
Paper Structure (19 sections, 30 theorems, 182 equations, 7 figures)

This paper contains 19 sections, 30 theorems, 182 equations, 7 figures.

Key Result

Proposition 3.1

Given a refinement strategy that satisfies CFPP-AxiomsOfAdaptivity, Eq:Stability -- Eq:Quasi orthogonoality - general imply optimal convergence of the error estimator if Dörfler marking Doerfler_convergent is used.

Figures (7)

  • Figure 1: For the adjacent triangles $K, K^{\prime}$ the purple line depicts the internal boundary $\Gamma$. For $\mathcal{S} := \{K,K^{\prime}\}$, the areas $\omega_{\mathcal{S}^{1/2}}$ and $\omega_{\mathcal{S}^1}$ are encircled by the olive and red lines respectively.
  • Figure 2: We set $\mathcal{S} := \{ K, K^{\prime} \}$. Then the purple line denotes the internal boundary $\Gamma$. The set $\mathcal{S}^{1/2}$ is outlined by the olive line. Then $\operatorname{supp} \psi_{\mathcal{S},k}^{\mathbf{z}}$ is encompassed by the dotted line.
  • Figure 3: The three ways a triangle $K \in \mathcal{S}^{1/2} \setminus \mathcal{S}$ with $K \cap \partial \Omega = \emptyset$ intersects the interface $\Gamma$ (dashed line).
  • Figure 4: The four different ways a triangle $K \in \mathcal{S}^{1/2} \setminus \mathcal{S}$ can interact with the boundary. Here, the dashed line represents the interface $\Gamma$ between $\mathcal{S}$ and $\mathcal{T} \setminus \mathcal{S}$. The hached line segments represent the domain boundary $\partial \Omega$.
  • Figure 5: (a): We consider a coarse mesh $\mathcal{T}$ with a triangle $K$ and its patch $\mathcal{T}_K$ marked by the purple line. (b): We consider a refinement $\widehat{\mathcal{T}}$ of the coarse mesh, with the newly added edges marked by the $- \cdot \cdot$ lines. A simplex $\widehat{K} \in \operatorname{succ} ( K )$ is chosen and its fine simplex patch $\widehat{\mathcal{T}}_{\widehat{K}}$ is included by the olive line.
  • ...and 2 more figures

Theorems & Definitions (59)

  • Definition 2.2
  • Remark 2.3
  • Remark 2.5
  • Proposition 3.1: CFPP-AxiomsOfAdaptivity
  • Theorem 3.2: Discrete reliability
  • Lemma 3.3
  • Lemma 3.4
  • Lemma 3.5
  • Lemma 3.6
  • Lemma 3.7
  • ...and 49 more