Polynomial of best uniform approximation to $x^{-1}$ and smoothing in two-level methods

Johannes K. Kraus; Panayot S. Vassilevski; Ludmil T. Zikatanov

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arXiv · 1002.1859

Polynomial of best uniform approximation to $x^{-1}$ and smoothing in two-level methods

Johannes K. Kraus·Panayot S. Vassilevski·Ludmil T. Zikatanov

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Abstract

We derive a three-term recurrence relation for computing the polynomial of best approximation in the uniform norm to $x^{-1}$ on a finite interval with positive endpoints. As application, we consider two-level methods for scalar elliptic partial differential equation (PDE), where the relaxation on the fine grid uses the aforementioned polynomial of best approximation. Based on a new smoothing property of this polynomial smoother that we prove, combined with a proper choice of the coarse space, we obtain as a corollary, that the convergence rate of the resulting two-level method is uniform with respect to the mesh parameters, coarsening ratio and PDE coefficient variation.

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BibTeX RIS

Johannes K. Kraus, Panayot S. Vassilevski, Ludmil T. Zikatanov. 2012-05-23. Polynomial of best uniform approximation to $x^{-1}$ and smoothing in two-level methods. https://arxiv.org/abs/1002.1859

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