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Fast convolutions with Helmholtz Green's functions and radially symmetric band-limited kernels.

机译:使用Helmholtz Green函数和径向对称的带限内核进行快速卷积。

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摘要

This thesis presents fast and accurate numerical algorithms for computing convolutions with the free space and quasi-periodic Helmholtz Green's function in two and three dimensions. Toward this end, we also construct a fast discrete Fourier transform from the square in the spatial domain to the disk in the Fourier domain, the adjoint and inverse transforms, and several polar grids. These tools are of interest by themselves and have their own applications.; Computation of volumetric convolutions with these Green's functions appears in many disciplines of engineering, physics, and applied mathematics. Examples include scattering problems for penetrable obstacles which may be repeated within a lattice. A mathematical challenge occurs when the scattering obstacle is discontinuous and requires application of the Green's function to a discontinuous function. Since straightforward discretization of the convolution leads to a dense matrix, the computational cost of applying it in dimension d is Ok2d , where kappa is the wave-number of the Green's function. Alternatively, applying the convolution as multiplication in the Fourier domain requires discretizing a large volume due to slow decay of the kernel and function. Part of the motivation for this thesis is to address this complexity and difficulties maintaining accuracy when convolving with discontinuous functions.; The key element of our approach is splitting the Green's function between the spatial and Fourier domains. We use a limiting procedure to define the Green's functions yielding the splitting. Such splitting results in approximations with exponential decay in both domains and we utilize fast algorithms for their application as operators. Specifically, a sum of well localized Gaussians provides the spatial approximation and a radially symmetric effectively band-limited kernel gives the approximation in the Fourier domain. The algorithms to apply the Green's functions are designed to maintain their performance when convolved with discontinuous compactly supported functions and have computational complexity Okd logk with minimal dependence on the desired accuracy.; A part of our approach is the development of quadratures in the disk which incorporate radially symmetric band-limited kernels as part of the measure. Such quadratures can be used in a variety of applications and allows us to construct a fast discrete Fourier transform from the square to the disk and its adjoint. As part of the algorithm to compute the inverse transform, we construct eigenfunctions of the operator which band-limits to the disk and space-limits to the square. Properties of the corresponding eigenvalues are similar to those of the one dimensional prolate spheroidal wave functions. We exploit these properties to construct a fast inverse transform.
机译:本文提出了一种快速,准确的数值算法,用于计算自由空间和准周期亥姆霍兹格林函数在二维和三维上的卷积。为此,我们还构造了一个快速的离散傅立叶变换,从空间域中的平方到傅立叶域中的磁盘,伴随变换和逆变换以及几个极坐标网格。这些工具本身很有趣,并且有自己的应用程序。具有这些格林函数的体积卷积的计算出现在工程,物理和应用数学的许多学科中。示例包括可穿透障碍物的散射问题,这些问题可能会在晶格内重复出现。当散射障碍是不连续的并且需要将格林函数应用于不连续函数时,会发生数学挑战。由于卷积的直接离散化导致了一个密集的矩阵,因此在维d中应用该卷积的计算成本为Ok2d,其中kappa是格林函数的波数。可选地,由于核和函数的缓慢衰减,在傅里叶域中将卷积用作乘法需要离散大量。本文的部分动机是为了解决这种复杂性以及在与不连续函数进行卷积时难以保持准确性。我们方法的关键要素是在空间域和傅立叶域之间划分格林函数。我们使用一个限制程序来定义产生分裂的格林函数。这种分裂导致两个域中的指数衰减近似,并且我们将快速算法用作运算符。具体来说,局部高斯的总和提供了空间近似,而径向对称有效带宽受限的核提供了傅立叶域中的近似。应用格林函数的算法旨在与不连续的紧凑支持函数卷积时保持其性能,并具有计算复杂度Okd logk,而对所需精度的依赖性最小。我们方法的一部分是开发磁盘中的正交,该正交中包含径向对称的带限内核。这样的正交可以在各种应用中使用,并允许我们构造从正方形到磁盘及其伴随区域的快速离散傅立叶变换。作为计算逆变换的算法的一部分,我们构造了算子的特征函数,该函数对磁盘的带宽限制和对平方的空间限制。对应特征值的性质类似于一维扁长球面波函数的性质。我们利用这些属性来构建快速逆变换。

著录项

  • 作者

    Kurcz, Christopher.;

  • 作者单位

    University of Colorado at Boulder.$bApplied Mathematics.;

  • 授予单位 University of Colorado at Boulder.$bApplied Mathematics.;
  • 学科 Mathematics.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 141 p.
  • 总页数 141
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 数学;
  • 关键词

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