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A FAST FOURIER-GALERKIN METHOD FOR SOLVINGSINGULAR BOUNDARY INTEGRAL EQUATIONS

机译:求解奇异边界积分方程的快速傅里叶-伽勒金方法

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摘要

We propose in this paper a convenient way to compress the dense matrix representa-tion of a compact integral operator with a smooth kernel under the Fourier basis. The compression leads to a sparse matrix with only O(n log n) nonzero entries, where 2n or 2n + 1 denotes the order of the matrix. Based on this compression strategy, we develop a fast Fourier–Galerkin method for solving a class of singular boundary integral equations. We prove that the fast Fourier–Galerkin method gives the optimal convergence order O(n~(-t)), where t denotes the degree of regularity of the exact solution. Moreover, we design a fast scheme for solving the corresponding truncated linear system. We show that solving this system requires only an O(n log~2 n) number of multiplications. We present numerical examples to confirm the theoretical estimates and to demonstrate the efficiency and accuracy of the proposed algorithm.
机译:我们提出一种在傅立叶基础上压缩具有光滑核的紧积分算子的稠密矩阵表示的简便方法。压缩导致只有O(n log n)个非零项的稀疏矩阵,其中2n或2n +1表示矩阵的阶数。基于这种压缩策略,我们开发了一种快速的傅立叶-加勒金方法来求解一类奇异边界积分方程。我们证明了快速傅里叶-加勒金方法给出了最佳收敛阶O(n〜(-t)),其中t表示精确解的正则度。此外,我们设计了一种用于解决相应的截断线性系统的快速方案。我们证明解决该系统仅需要O(n log〜2 n)倍数。我们提供了数值示例来确认理论估计并证明所提出算法的效率和准确性。

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