THE DISTRIBUTIONAL HANKEL TRANSFORMATION.

Abstract

The Hankel transformation is generalized in a distributional way, something that apparently has not been done before. Two different procedures are used to accomplish this. In the first procedure a topological linear space of testing functions is constructed for which the mu-th order Hankel transformation is a topological automorphism. The dual space consists of the mu-th order Hankel-transformable distributions. The distributional Hankel transformation is then defined by generalizing a variation of Parseval's formula. It turns out that the distributions to which this transformation may be applied must be of slow growth. The second procedure yields a more general result in that there is no restriction on the rate of growth of the distributions that are to be transformed. Here again, Parseval's formula is used to define the generalized Hankel transformation, but in contrast to the previous case the testing functions for the distributions under consideration are required to have bounded supports. The Hankel transforms then turn out to be continuous linear functionals on certain classes of analytic functions. Several applications to differential equations containing Bessel-type differential operators are also given. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 09, 1965
Accession Number
AD0623124

Entities

People

  • A. H. Zemanian

Organizations

  • State University of New York

Tags

DTIC Thesaurus Topics

  • Analytic Functions
  • Contrast
  • Differential Equations
  • Equations
  • Mathematical Analysis
  • Mathematics

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Graph Algorithms and Convex Optimization.

Technology Areas

  • Space