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首页> 外文期刊>SIAM Journal on Numerical Analysis >OPTIMAL A PRIORI ERROR ESTIMATES FOR AN ELLIPTIC PROBLEM WITH DIRAC RIGHT-HAND SIDE~*
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OPTIMAL A PRIORI ERROR ESTIMATES FOR AN ELLIPTIC PROBLEM WITH DIRAC RIGHT-HAND SIDE~*

机译:具有DIRAC右侧的椭圆形问题的最佳先验误差估计〜*

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It is well known that finite element solutions for elliptic PDEs with Dirac measures as source terms converge, due to the fact that the solution is not in H~1, suboptimal in classical norms. A standard remedy is to use graded meshes, then quasioptimality, i.e., optimal up to a log-factor, for low order finite elements can be recovered, e.g., in the L~2-norm. Here we show for the lowest order case quasioptimality and for higher order finite elements optimal order a priori estimates on a family of quasi-uniform meshes in an L~2-seminorm. The seminorm is defined as an L~2-norm on a fixed subdomain which excludes the locations of the delta source terms. Our motivation in the use of such a norm results from the observation that in many applications the error at the singularity is dominated by the model error, e.g., in dimension reduced settings or is not the quantity of interest, e.g., in optimal control problems. The quasi-optimal and optimal order a priori bounds are obtained recursively by using Aubin-Nitsche techniques, localWahlbin-type error estimates, interior regularity results, and weighted Sobolev norms. For the proof of these results no graded meshes are required, it is sufficient to work on a family of quasi-uniform meshes. Numerical tests in two and three space dimensions confirm our theoretical results.
机译:众所周知,以Dirac测度为源项的椭圆PDE的有限元解收敛,这是因为该解不是H〜1,不是经典范式的次优。一种标准的补救措施是使用渐变网格,然后准最优性(即最优化至对数因子),例如在L〜2范数中可以恢复低阶有限元。在这里,我们显示了对于最低阶情况的拟最优性和对于高阶有限元的最优阶,它是对L〜2-seminorm中的一组准均匀网格的先验估计。半范数被定义为不包含增量源项的位置的固定子域上的L〜2范数。我们使用这种规范的动机来自以下观察结果:在许多应用中,奇异性的误差主要由模型误差决定,例如在尺寸减小的设置中,或者在优化控制问题中不是感兴趣的数量。通过使用Aubin-Nitsche技术,localWahlbin类型的误差估计,内部规则性结果和加权Sobolev规范,递归获得准最优顺序和最优顺序。为了证明这些结果,不需要渐变网格,在一组准均匀网格上工作就足够了。在两个和三个空间维度上的数值测试证实了我们的理论结果。

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