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The convergence of V-cycle multigrid algorithms for axisymmetric Laplace and Maxwell equations

机译:轴对称拉普拉斯方程和麦克斯韦方程的V周期多重网格算法的收敛性

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摘要

We investigate some simple finite element discretizations for the axisymmetric Laplace equation and the azimuthal component of the axisymmetric Maxwell equations as well as multigrid algorithms for these discretizations. Our analysis is targeted at simple model problems and our main result is that the standard V-cycle with point smoothing converges at a rate independent of the number of unknowns. This is contrary to suggestions in the existing literature that line relaxations and semicoarsening are needed in multigrid algorithms to overcome difficulties caused by the singularities in the axisymmetric Maxwell problems. Our multigrid analysis proceeds by applying the well known regularity based multigrid theory. In order to apply this theory, we prove regularity results for the axisymmetric Laplace and Maxwell equations in certain weighted Sobolev spaces. These, together with some new finite element error estimates in certain weighted Sobolev norms, are the main ingredients of our analysis.
机译:我们研究了轴对称拉普拉斯方程和轴对称麦克斯韦方程的方位分量的一些简单有限元离散化以及用于这些离散化的多重网格算法。我们的分析针对简单模型问题,我们的主要结果是带有点平滑的标准V周期以与未知数无关的速率收敛。这与现有文献中的建议相反,即在多网格算法中需要线松弛和半粗化来克服轴对称麦克斯韦问题中奇异性所引起的困难。我们的多网格分析是通过应用众所周知的基于规则性的多网格理论进行的。为了应用该理论,我们证明了在某些加权Sobolev空间中轴对称Laplace和Maxwell方程的正则结果。这些以及某些加权Sobolev规范中的一些新的有限元误差估计是我们分析的主要内容。

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