A Fourier error analysis for radial basis functions on an infinite uniform grid. Part 2: Spectral-plus is special

作者：Boyd John P^*

来源：Applied Mathematics and Computation, 2013, 225: 695-707.

DOI：10.1016/j.amc.2013.09.073

• Radial basis functions
• Spectral methods
• Interpolation
• Error analysis
• Sinc functions
• Gaussian radial basis functions
• RBFs

A frequent claim in the radial basis RBF) literature is that with a wise choice of the "shape parameter'' alpha, spectrally accurate RBFs can be "spectral-plus'' in the sense that the RBF approximation is orders of magnitude more accurate than the corresponding spectral method. This is surprising because in the so-called "flat limit'', alpha -> 0, RBF methods provably reduce to a standard spectral method. On an infinite uniform grid, for example, Gaussian, hyperbolic secant, inverse quadratic, and multiquadric and inverse multiquadric RBFs reduce to the classical sinc basis. Using the error theorem proved in Part 1, we show that indeed it is possible for RBFs to be greatly superior to the sinc basis. However, rather special conditions are required for this superiority. The generic case is that RBFs are less accurate than the sinc method for nonzero values of the shape parameter.

• 出版日期2013-12-1