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Local Error Estimates of the Finite Element Method for an Elliptic Problem with a Dirac Source Term

机译:具有狄拉克源项的椭圆问题的有限元方法的局部误差估计

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摘要

The solutions of elliptic problems with a Dirac measure in right-hand side are not H1 and therefore the convergence of the finite element solutions is suboptimal. Graded meshes are standard remedy to recover quasi-optimality, namely optimality up to a log-factor, for low order finite elements in L2-norm. Optimal (or quasi-optimal for the lowest order case) convergence has been shown in L2-seminorm, where the L2-seminorm is defined as the L2-norm on a subdomain which excludes the singularity. Here we show a quasi-optimal convergence for the Hs-seminorm, s > 0, and an optimal convergence in H1-seminorm for the lowest order case, on a family of quasi- uniform meshes in dimension 2. This question is motivated by the use of the Dirac measure as a reduced model in physical problems, and a high accuracy at the singularity of the finite element method is not required. Our results are obtained using local Nitsche and Schatz-type error estimates, a weak version of Aubin-Nitsche duality lemma and a discrete inf-sup condition. These theoretical results are confirmed by numerical illustrations.
机译:右侧用Dirac测度的椭圆问题的解不是H1,因此有限元解的收敛性不是最优的。对于L2范数中的低阶有限元,渐变网格是恢复准最优性(即达到对数因子的最优性)的标准方法。在L2-seminorm中显示了最优(或最低阶情况下的准最优)收敛,其中L2-seminorm被定义为子域上的L2-范数,其中不包含奇点。在这里,我们显示了Hs-seminorm的s最优收敛,s> 0,以及在最小阶情况下H1-seminorm的最优收敛,在维2的准均匀网格族上。在物理问题中使用Dirac测度作为简化模型,并且在有限元法的奇异性方面不需要高精度。我们的结果是使用局部Nitsche和Schatz型误差估计,Aubin-Nitsche对偶引理的弱版本和离散的inf-sup条件获得的。这些理论结果通过数字说明得到了证实。

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