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Scattered Data Interpolation on Embedded Submanifolds with Restricted Positive Definite Kernels: Sobolev Error Estimates
SIAM Journal on Numerical Analysis (2012)
  • Edward J. Fuselier
  • Grady Wright, Boise State University
Abstract
In this paper we present error estimates for kernel interpolation at scattered sites on manifolds. The kernels we consider will be obtained by the restriction of positive definite kernels on Rd, such as radial basis functions, to a smooth, compact embedded submanifold M ⊂ Rd with no boundary. For restricted kernels having finite smoothness, we provide a complete characterization of the native space on M. After this and some preliminary setup, we present Sobolev-type error estimates for the interpolation problem for smooth and non-smooth kernels. In the case of non-smooth kernels, we provide error estimates for target functions too rough to be within the native space of the kernel. Numerical results verifying the theory are also presented for a one-dimensional curve embedded in R3 and a two-dimensional torus.
Keywords
  • kernel,
  • manifold,
  • error estimates,
  • radial basis functions,
  • scattered data,
  • interpolation
Disciplines
Publication Date
June 1, 2012
Publisher Statement
This document was originally published by Society for Industrial and Applied Mathematics (SIAM) in SIAM Journal on Numerical Analysis. Copyright restrictions may apply. DOI: 10.1137/110821846
Citation Information
Edward J. Fuselier and Grady Wright. "Scattered Data Interpolation on Embedded Submanifolds with Restricted Positive Definite Kernels: Sobolev Error Estimates" SIAM Journal on Numerical Analysis Vol. 50 Iss. 3 (2012)
Available at: http://works.bepress.com/grady_wright/20/