Abstract
This paper simultaneously generalizes two standard classes of radial kernels, the polyharmonic kernels related to the differential operator ( − Δ)m and the Whittle–Matérn kernels related to the differential operator ( − Δ + I)m. This is done by allowing general differential operators of the form \(\prod_{j=1}^m(-\Delta+\kappa_j^2I)\) with nonzero κ j and calculating their associated kernels. It turns out that they can be explicity given by starting from scaled Whittle–Matérn kernels and taking divided differences with respect to their scale. They are positive definite radial kernels which are reproducing kernels in Hilbert spaces norm-equivalent to \(W_2^m(\ensuremath{\mathbb{R}}^d)\). On the side, we prove that generalized inverse multiquadric kernels of the form \(\prod_{j=1}^m(r^2+\kappa_j^2)^{-1}\) are positive definite, and we provide their Fourier transforms. Surprisingly, these Fourier transforms lead to kernels of Whittle–Matérn form with a variable scale κ(r) between κ 1,...,κ m . We also consider the case where some of the κ j vanish. This leads to conditionally positive definite kernels that are linear combinations of the above variable-scale Whittle–Matérn kernels and polyharmonic kernels. Some numerical examples are added for illustration.
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References
Buhmann, M.D.: Radial basis functions. In: Cambridge Monographs on Applied and Computational Mathematics. Cambridge University Press (2004)
De Marchi, S., Schaback, R.: Non standard kernels and their applications. Dolomites Research Notes on Approximations 2, 16–43 (2009)
Duchon, J.: Interpolation des fonctions de deux variables suivant le principe de la flexion des plaques minces. Rev. Française Automat. Informat. Rech. Opér. Anal. Numer. 10, 5–12 (1976)
Fassahuer, G.F.: Green’s functions: taking another look at kernel approximation, adial basis functions and splines. In: Approximation Theory XIII: San Antonio 2010, pp. 37–63. Springer (2011)
Iske, A.: Multiresolution methods in scattered data modelling. In: Lecture Notes in Computational Science and Engineering. Springer, Berlin (2004)
Kybic, J., Blu, T., Unser, M.: Generalized sampling: a variational approach—part I: theory. IEEE Trans. Signal Proc. Networks 50, 1965–1976 (2002)
Rabut, C., Rossini, M.: Polyharmonic multiresolution analysis: an overview and some new results. Numer. Algorithms 48, 135–160 (2008)
Schaback, R.: Programming hints for kernel-based methods. Technical report, Göttingen (2009)
Schaback, R., Wu, Z.: Operators on radial basis functions. J. Comput. Appl. Math. 73, 257–270 (1996)
Schumaker, L.L.: Spline Functions: Basic Theory. Wiley–Interscience, New York (1981)
Unser, M., Blu, T.: Cardinal exponential splines: part I—theory and filtering algorithms. IEEE Trans. Signal Proc. Networks 53, 1425–1438 (2005)
Wendland, H.: Scattered Data Approximation. Cambridge University Press, Cambridge (2005)
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Communicated by: Ding-Xuan Zhou.
Sponsored by an invitation the University of Milano Bicocca in September 2011.
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Bozzini, M., Rossini, M. & Schaback, R. Generalized Whittle–Matérn and polyharmonic kernels. Adv Comput Math 39, 129–141 (2013). https://doi.org/10.1007/s10444-012-9277-9
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DOI: https://doi.org/10.1007/s10444-012-9277-9