Strictly Positive Definite Functions on Spheres

Abstract

In this paper we study strictly positive definite functions on the unit sphere of the m-dimensional Euclidean space. Such functions can be used for solving a scattered data interpolation problem on spheres. Since positive definite functions on the sphere were already characterized by Schoenberg some fifty years ago, the issue here is to determine what kind of positive definite functions are actually strictly positive definite. The study of this problem was initiated recently by Xu and Cheney, where certain sufficient conditions were derived. A new approach, which is based on a critical connection between this problem and that of multivariate polynomial interpolation on spheres, is presented here. The relevant interpolation problem is subsequently analysed by three different complementary methods. The first is based on the de Boor Ron general least solution for the multivariate polynomial interpolation problem. The second, which is suitable only for m = 2, is based on the connection between bivariate harmonic polynomials and univariate analytic polynomials, and reduces the problem to the structure of the integer zeros of bounded univariate exponentials. Finally, the last method invokes the realization of harmonic polynomials as the polynomial kernel of the laplacian, thereby exploiting some basic relations between homogeneous ideals and their polynomial kernels.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1994
Accession Number
ADA276471

Entities

People

  • Amos Ron
  • Xingping Sun

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Approximation (Mathematics)
  • Coefficients
  • Fourier Analysis
  • Interpolation
  • Mathematical Analysis
  • Monotone Functions
  • North Carolina
  • Notation
  • Numbers
  • Polynomials
  • Power Series
  • Real Numbers
  • Sequences
  • Spherical Harmonics
  • United States
  • Universities
  • Wisconsin

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Linear Algebra
  • Theoretical Analysis.

Technology Areas

  • Space