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arXiv 1401.6232math.NAcs.NA
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弱伽辽金方法在各向异性扩散问题中的离散最大原理

Discrete maximum principle for the weak Galerkin method for anisotropic diffusion problems

the University of Kansas(堪萨斯大学);Oklahoma State University(俄克拉荷马州立大学)

Weizhang Huang, Yanqiu Wang

AI总结:

本文研究了弱伽辽金方法在各向异性扩散问题中的离散最大原理保持,通过构造简化系统和分析自由度关系,得到更弱的网格条件,并通过数值实验验证了结果。

摘要:

本文研究了各向异性扩散问题边界值问题的弱伽辽金离散化方案,以保持最大原理。研究表明,直接将M矩阵理论应用于弱伽辽金离散化的刚度矩阵会导致需要所有网格二面角严格锐角(与90度保持常数距离)的强网格条件。为避免此困难,考虑了简化系统并证明其在更弱的网格条件下满足离散最大原理。通过分析元素和边上的自由度关系,建立了弱伽辽金近似的离散最大原理。获得了对于分段常数和一般各向异性扩散矩阵的充分网格条件。这些条件为实际网格生成提供了指导。给出了数值实验。

英文摘要:

A weak Galerkin discretization of the boundary value problem of a general anisotropic diffusion problem is studied for preservation of the maximum principle. It is shown that the direct application of the $M$-matrix theory to the stiffness matrix of the weak Galerkin discretization leads to a strong mesh condition requiring all of the mesh dihedral angles to be strictly acute (a constant-order away from 90 degrees). To avoid this difficulty, a reduced system is considered and shown to satisfy the discrete maximum principle under weaker mesh conditions. The discrete maximum principle is then established for the full weak Galerkin approximation using the relations between the degrees of freedom located on elements and edges. Sufficient mesh conditions for both piecewise constant and general anisotropic diffusion matrices are obtained. These conditions provide a guideline for practical mesh generation for preservation of the maximum principle. Numerical examples are presented.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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