Sobolev-type Lp-approximation orders of radial basis function interpolation to functions in fractional Sobolev spaces

Mun Bae Lee, Yeon Ju Lee, Jungho Yoon

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Sobolev-type error analysis has recently been intensively studied for radial basis function interpolation. Although the results have been very successful, some limitations have been found. First, the spaces of target functions are not large enough for thecase 1≤p≤∞ to be used practically in some applications. Second, error estimates are confined to the case of finitely smooth radial basis functions. Thus, the primary goal of this paper is to provide Sobolev-type Lp-error bounds (1≤p≤∞) to functions in fractional Sobolev spaces for a wide class of radial functions including some infinitely smooth radial functions. Here an infinitely smooth radial function is required to be conditionally positive definite of a certain order m>0. In addition we provide numerical results that illustrate our theoretical error bounds.

Original languageEnglish
Pages (from-to)279-293
Number of pages15
JournalIMA Journal of Numerical Analysis
Volume32
Issue number1
DOIs
StatePublished - Jan 2012

Bibliographical note

Funding Information:
The Basic Science Research Program funded by Ministry of Education, Science, and Technology (2009-0076371 to Y.J.L.); Priority Research Centers Program funded by the Ministry of Education, Science and Technology (2009-0093827 to J.Y.) and Basic Science Research Program funded by the Ministry of Education, Science and Technology through the National Research Foundation of Korea (2009-0073036 to J.Y.).

Keywords

  • Sobolev space
  • approximation order
  • interpolation
  • radial basis function
  • sampling inequality
  • scattered data

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