arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2008.00653math.NAcs.NA
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用快速多极子方法逼近Laplace势的局部展开式

On the Approximation of Local Expansions of Laplace Potentials by the Fast Multipole Method

Matt Wala, Andreas Klöckner

摘要:

在本文中,我们提出了一个推广的经典误差界的Greengard-Rokhlin的快速多极子方法(FMM)的Laplace势在三维中,扩展到本地扩展(而不是点)的情况下的目标。我们还提出了一个通过逼近论证明的补充的、不太尖锐的误差界,其适用性不限于拉普拉斯势。我们的研究是出于GIGAQBX FMM,一种算法的快速,高阶准确的评价层电位附近和源层。GIGAQBX基于FMM,但与传统的FMM不同,FMM旨在评估点状目标的电位,GIGAQBX评估球形目标的电位局部扩展。虽然精度(或加速度误差,即,由于快速算法对势的近似而引起的误差)是很好理解的,但是应用于局部展开的评估的基于FMM的算法的加速误差还没有得到很好的研究。本文的主要贡献是证明了一组假设,首先证明了数值的文件中“一个快速算法的正交扩展在三维空间,”这涉及到的精度FMM近似的局部扩展的拉普拉斯潜力在三维空间。这些假设也是必不可少的三维误差界GIGAQBX,这是以前有条件地说,他们的真理,现在可以无条件地说。

英文摘要:

In this paper, we present a generalization of the classical error bounds of Greengard-Rokhlin for the Fast Multipole Method (FMM) for Laplace potentials in three dimensions, extended to the case of local expansion (instead of point) targets. We also present a complementary, less sharp error bound proven via approximation theory whose applicability is not restricted to Laplace potentials. Our study is motivated by the GIGAQBX FMM, an algorithm for the fast, high-order accurate evaluation of layer potentials near and on the source layer. GIGAQBX is based on the FMM, but unlike a conventional FMM, which is designed to evaluate potentials at point-shaped targets, GIGAQBX evaluates local expansions of potentials at ball-shaped targets. Although the accuracy (or the acceleration error, i.e., error due to the approximation of the potential by the fast algorithm) of the conventional FMM is well understood, the acceleration error of FMM-based algorithms applied to the evaluation of local expansions has not been as well studied. The main contribution of this paper is a proof of a set of hypotheses first demonstrated numerically in the paper "A Fast Algorithm for Quadrature by Expansion in Three Dimensions," which pertain to the accuracy of FMM approximation of local expansions of Laplace potentials in three dimensions. These hypotheses are also essential to the three-dimensional error bound for GIGAQBX, which was previously stated conditionally on their truth and can now be stated unconditionally.

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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