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arXiv · 1208.4816

Detailed analysis of prolate quadratures and interpolation formulas

Andrei Osipov·Vladimir Rokhlin
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Abstract

As demonstrated by Slepian et. al. in a sequence of classical papers, prolate spheroidal wave functions (PSWFs) provide a natural and efficient tool for computing with bandlimited functions defined on an interval. As a result, PSWFs are becoming increasing popular in various areas in which such function occur - this includes physics (e.g. wave phenomena, fluid dynamics), engineering (e.g. signal processing, filter design), etc. To use PSWFs as a computational tool, one needs fast and accurate numerical algorithms for the evaluation of PSWFs and related quantities, as well as for the construction of quadratures, interpolation formulas, etc. Even though, for the last half a century, substantial progress has been made in design of such algorithms, the complexity of many of the existing algorithms, however, is at least quadratic in the band limit $c$. For example, the evaluation of the $n$th eigenvalue of the prolate integral operator requires at least $O(c^2)$ operations. Therefore, while the existing algorithms are quite satisfactory for moderate values of $c$ (e.g. $c \leq 10^3$), they tend to be relatively slow when $c$ is large (e.g. $c \geq 10^4$). In this paper, we describe several numerical algorithms for the evaluation of PSWFs and related quantities, and design a class of PSWF-based quadratures for the integration of bandlimited functions. Also, we perform detailed analysis of the related properties of PSWFs. While the analysis is somewhat involved, the resulting numerical algorithms are quite simple and efficient in practice. For example, the evaluation of the $n$th eigenvalue of the prolate integral operator requires $O(n+c)$ operations; also, the construction of related accurate quadrature rules requires $O(c)$ operations. Our results are illustrated via several numerical experiments.

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BibTeXRIS

Andrei Osipov, Vladimir Rokhlin. 2012-08-23. Detailed analysis of prolate quadratures and interpolation formulas. https://arxiv.org/abs/1208.4816

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