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arXiv math/0605532math.CVcs.NAmath.NA
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Zipper算法在共形映射中的收敛性

Convergence of the Zipper algorithm for conformal mapping

Donald E. Marshall, Steffen Rohde

AI总结:

本文证明了Zipper算法(一种计算共形映射的初等方法)对于Jordan区域在一致边界逼近意义下的收敛性,并给出了映射函数及其逆在闭区域和闭圆盘上的一致估计。

摘要:

在20世纪80年代初,R. Kühnau和第一作者发现了一种计算共形映射的初等算法。该算法快速且准确,但其收敛性此前未知。给定平面上的点z_0,...,z_n,该算法计算单位圆盘到以Jordan曲线γ为边界、且z_0,...,z_n位于γ上的区域上的显式共形映射。我们证明了Jordan区域在一致边界逼近意义下的收敛性,并给出了映射函数及其逆在闭区域和闭圆盘上相应的一致估计。如果数据点位于C^1曲线或K-拟圆周上,则可获得改进的估计。该算法最初是作为共形焊接的近似方法发现的,但也可以视为Löwner微分方程的离散化。

英文摘要:

In the early 1980's an elementary algorithm for computing conformal maps was discovered by R. Kühnau and the first author. The algorithm is fast and accurate, but convergence was not known. Given points z_0,...,z_n in the plane, the algorithm computes an explicit conformal map of the unit disk onto a region bounded by a Jordan curve γwith z_0,...,z_n \in γ. We prove convergence for Jordan regions in the sense of uniformly close boundaries, and give corresponding uniform estimates on the closed region and the closed disc for the mapping functions and their inverses. Improved estimates are obtained if the data points lie on a C^1 curve or a K-quasicircle. The algorithm was discovered as an approximate method for conformal welding, however it can also be viewed as a discretization of the Löwner differential equation.

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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