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An Algorithmic Finite Element Approach for a Class of Non-linear Quasi Variational Inequalities

机译:一类非线性拟变分不等式的算法有限元方法

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In this paper, we introduce a new method to analyze the convergence of the standard finite element method for a class of elliptic quasi-variational inequalities (QVIs) with non-linear source terms. It consists of approximating the solution of the non-linear QVI by a sequence of solutions of linear QVIs. Under a realistic assumption on the non-linearity, we first prove that the resulting iterative scheme is geometrically convergent to the solution of the QVI. Afterwards, we establish an error estimate in the maximum norm between the continuous iterative scheme and its finite element counterpart. Finally, combining this latter estimate with the geometrical convergence of the iterative scheme, we also derive an error estimate between the solution of the QVI and its finite element counterpart.
机译:在本文中,我们引入了一种新方法,用于分析一类带有非线性源项的椭圆拟变分不等式(QVI)的标准有限元方法的收敛性。它包括通过一系列线性QVI的解来近似非线性QVI的解。在非线性的现实假设下,我们首先证明所得的迭代方案在几何上收敛于QVI的解。然后,我们在连续迭代方案与其有限元对应项之间的最大范数中建立误差估计。最后,将后面的估计与迭代方案的几何收敛相结合,我们还可以得出QVI解与其有限元对应项之间的误差估计。

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