Fast Ewald Summation using Prolate Spheroidal Wave Functions

Fuente: arXiv
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Autori principali: Boström, Erik, Tornberg, Anna-Karin, Klinteberg, Ludvig af
Natura: Preprint
Pubblicazione: 2026
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author Boström, Erik
Tornberg, Anna-Karin
Klinteberg, Ludvig af
author_facet Boström, Erik
Tornberg, Anna-Karin
Klinteberg, Ludvig af
contents Fast Ewald summation efficiently evaluates Coulomb interactions and is widely used in molecular dynamics simulations. It is based on a split into a short-range and a long-range part, where evaluation of the latter is accelerated using the fast Fourier transform (FFT). The accuracy and computational cost depend critically on the mollifier in the kernel split and the window function used in the spreading and interpolation steps that enable the use of the FFT. The first prolate spheroidal wavefunction (PSWF) has optimal concentration in real and Fourier space simultaneously, and is used when defining both a mollifier and a window function. We provide a complete description of the method and derive rigorous error estimates. In addition, we obtain closed-form approximations of the Fourier truncation and aliasing errors, yielding explicit parameter choices for the achieved error to closely match the prescribed tolerance. Numerical experiments confirm the analysis: PSWF-based Ewald summation achieves a given accuracy with significantly fewer Fourier modes and smaller window supports than Gaussian- and B-spline-based approaches, providing a superior alternative to existing Ewald methods for particle simulations.
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id arxiv_https___arxiv_org_abs_2602_16591
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Fast Ewald Summation using Prolate Spheroidal Wave Functions
Boström, Erik
Tornberg, Anna-Karin
Klinteberg, Ludvig af
Numerical Analysis
Fast Ewald summation efficiently evaluates Coulomb interactions and is widely used in molecular dynamics simulations. It is based on a split into a short-range and a long-range part, where evaluation of the latter is accelerated using the fast Fourier transform (FFT). The accuracy and computational cost depend critically on the mollifier in the kernel split and the window function used in the spreading and interpolation steps that enable the use of the FFT. The first prolate spheroidal wavefunction (PSWF) has optimal concentration in real and Fourier space simultaneously, and is used when defining both a mollifier and a window function. We provide a complete description of the method and derive rigorous error estimates. In addition, we obtain closed-form approximations of the Fourier truncation and aliasing errors, yielding explicit parameter choices for the achieved error to closely match the prescribed tolerance. Numerical experiments confirm the analysis: PSWF-based Ewald summation achieves a given accuracy with significantly fewer Fourier modes and smaller window supports than Gaussian- and B-spline-based approaches, providing a superior alternative to existing Ewald methods for particle simulations.
title Fast Ewald Summation using Prolate Spheroidal Wave Functions
topic Numerical Analysis
url https://arxiv.org/abs/2602.16591