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arXiv 1702.08689math.AP
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带障碍物的变分问题的误差恒等式

Error identities for variational problems with obstacles

Sergey Repin, Jan Valdman

摘要:

研究了一类非线性自由边界问题,这类问题通常用基于原始(或原始-对偶)变分设置的变分方法求解。我们推导和调查特殊的关系(错误身份)。他们表明,一定的非线性措施的距离的精确解(具体为每个问题)是相当于各自的对偶差距,最小化是一个关键的所有变分数值方法。因此,身份定义的措施,其中包含最大的量化信息的质量数值解可通过这些方法。该测度具有由微分算子的线性部分生成的二次项和与自由边界相关联的非线性项。我们得到完全可计算的双边界限,这一措施,并表明,他们提供有效估计之间的距离极小和任何功能,从相应的能量空间。几个例子表明,对于不同的最小化序列的整体误差测量的不同组件之间的平衡可能是不同的和非线性项的统治可能表明重合集近似不正确。

英文摘要:

The paper is concerned with a class of nonlinear free boundary problems, which are usually solved by variational methods based on primal (or primal-dual) variational settings. We deduce and investigate special relations (error identities). They show that a certain nonlinear measure of the distance to the exact solution (specific for each problem) is equivalent to the respective duality gap, which minimization is a keystone of all variational numerical methods. Therefore, the identity defines the measure that contains maximal quantitative information on the quality of a numerical solution available through these methods. The measure has quadratic terms generated by the linear part of the differential operator and nonlinear terms associated with free boundaries. We obtain fully computable two sided bounds of this measure and show that they provide efficient estimates of the distance between the minimizer and any function from the corresponding energy space. Several examples show that for different minimization sequence the balance between different components of the overall error measure may be different and domination of nonlinear terms may indicate that coincidence sets are approximated incorrectly.

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