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Original Articles

Diagonal spherical means

Pages 796-811 | Received 13 Jan 2015, Accepted 13 May 2015, Published online: 05 Jun 2015
 

Abstract

We introduce a mean for functions and distributions of two vector variables, kD(Rn×Rn), the diagonal spherical mean K, defined as K(x,y)=Sn1k(xξ,yξ)dξ. We study several properties of these means as well as identities satisfied by them. We show that the Dirac delta function in the diagonal of the unit ball B in Rn admits a representation as the diagonal spherical mean of certain kernels κ, δ(xy)=Sn1κ(xξ,yξ)dξ, distributionally for (x,y)B×B. These representations of the delta function solve the problem of reconstruction of a distribution with compact support inside B if its standard spherical Radon transform is known in the boundary Sn1=B.

2000 Mathematics Subject Classification:

Funding

The research was supported in part by the NSF grant 0968448.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1. One may also consider normalized diagonal spherical means, that is, the integrals (1/σn1)Sn1f(xξ,yξ)dξ, where σn1 is given by (Equation3.4).

2. If URn is an open set and f,gD(Rn), then f(x)=g(x) distributionally for xU if f,φ=g,φ for all test functions with suppφU.

3. These spaces are very similar to the spaces Rn introduced in [Citation13]. The spaces Rn[0,) were introduced in [Citation14].

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