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arXiv 1808.03535math.NAcs.NA
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如何证明离散有限元法的离散可靠性

How to prove the discrete reliability for nonconforming finite element methods

Carsten Carstensen, Sophie Puttkammer

摘要:

自适应有限元法的最优收敛速度是根据自适应性公理来理解的。一个关键因素是基于残差的后验误差估计的离散可靠性,该估计控制基于两个嵌套三角剖分的两个离散有限元解的误差。在非连续有限元法的误差分析中,如Crouzeix-Raviart或Morley有限元格式,不连续逼近的分段导数对整体Sobolev函数的分布梯度的差起着主导作用,是本文的研究对象。在Ciarlet意义上的上述的插值有限元的定义自然而来的插值算子,允许稳定性和近似性质,使得能够直接证明监测平衡条件的残差的可靠性。本文的新方法是建议的右逆插值算子在符合分段多项式设计一个粗略的网格近似的精确三角剖分的一个新的近似。本文的结果允许简单的证明在任何空间维数和多连通区域的离散可靠性的一般形状规则三角剖分超过最新顶点平分的单形。特别注意的是在附录中列出的一些标准离散估计的最佳常数。

英文摘要:

Optimal convergence rates of adaptive finite element methods are well understood in terms of the axioms of adaptivity. One key ingredient is the discrete reliability of a residual-based a posteriori error estimator, which controls the error of two discrete finite element solutions based on two nested triangulations. In the error analysis of nonconforming finite element methods, like the Crouzeix-Raviart or Morley finite element schemes, the difference of the piecewise derivatives of discontinuous approximations to the distributional gradients of global Sobolev functions plays a dominant role and is the object of this paper. The nonconforming interpolation operator, which comes natural with the definition of the aforementioned nonconforming finite element in the sense of Ciarlet, allows for stability and approximation properties that enable direct proofs of the reliability for the residual that monitors the equilibrium condition. The novel approach of this paper is the suggestion of a right-inverse of this interpolation operator in conforming piecewise polynomials to design a nonconforming approximation of a given coarse-grid approximation on a refined triangulation. The results of this paper allow for simple proofs of the discrete reliability in any space dimension and multiply connected domains on general shape-regular triangulations beyond newest-vertex bisection of simplices. Particular attention is on optimal constants in some standard discrete estimates listed in the appendices.

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