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Lavrentiev regularization plus Ritz approximation = uniform finite element error estimates for differential equations with rough coefficients

机译:Lavrentiev正则化加上Ritz近似=具有粗糙系数的微分方程的一致有限元误差估计

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We consider a parametric family of boundary value problems for a diffusion equation with a diffusion coefficient equal to a small constant in a subdomain. Such problems are not uniformly well-posed when the constant gets small. However, in a series of papers, Bakhvalov and Knyazev have suggested a natural splitting of the problem into two well-posed problems. Using this idea, we prove a uniform finite element error estimate for our model problem in the standard parameter-independent Sobolev norm. We also study uniform regularity of the transmission problem, needed for approximation. A traditional finite element method with only one additional assumption, namely, that the boundary of the subdomain with the small coefficient does not cut any finite element, is considered. One interpretation of our main theorem is in terms of regularization. Our FEM problem can be viewed as resulting from a Lavrentiev regularization and a Ritz-Galerkin approximation of a symmetric ill-posed problem. Our error estimate can then be used to find an optimal regularization parameter together with the optimal dimension of the approximation subspace. [References: 43]
机译:我们考虑一类扩散系数等于子域中的小常数的扩散方程的边值问题的参数族。当常数变小时,这些问题并不是一意孤行的。但是,巴赫瓦洛夫和克尼亚泽夫在一系列论文中建议将问题自然分解为两个恰当的问题。利用这一思想,我们证明了在标准参数无关的Sobolev范数下对模型问题的统一有限元误差估计。我们还研究了近似所需的传输问题的均匀规律性。考虑仅具有一个附加假设的传统有限元方法,即,具有小的系数的子域的边界不切割任何有限元。我们的主要定理的一种解释是正则化。可以将我们的FEM问题视为对称对称不适定问题的Lavrentiev正则化和Ritz-Galerkin近似的结果。然后,我们的误差估计可用于找到最佳正则化参数以及近似子空间的最佳尺寸。 [参考:43]

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