The Poisson Convolution Associated with the Spherical Mean Operator

被引:0
作者
Amri, Besma [1 ]
机构
[1] Univ Tunis El Manar, Fac Sci Tunis, LR18ES09 Modelisat Math Anal Harmon & Theorie Pot, Tunis 2092, Tunisia
关键词
Spherical mean operator; Fourier transform; Hilbert space; Reproducing kernel; Poisson convolution; Extremal function; Important estimates; INVERSION;
D O I
10.1007/s11785-023-01363-7
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The spherical mean operator R is defined on the space of continuous functions on R x R-n, even with respect to the first variable by R(f)(r, x) = integral(Sn) f(0, x) + r omega)d sigma(omega) where S-n is the unit sphere of R x R-n, and d sigma is the euclidian measure on S-n, normalized to have total mass 1. We study the most important properties of harmonic analysis related to the spherical mean operator (translation operators, convolution product and Fourier transform). Using harmonic analysis results, we study spaces of Sobolev type for which we make explicit kernels reproducing. Next, we define and study the Poisson convolution P-t, t > 0, associated with the spherical mean operatorR. We establish the most important properties of the Poisson convolution. In particular, we show that the Poisson convolution solves the wave equation, namely Xi (u)(r, x, t) = - partial derivative(2)u/partial derivative t(2) (r, x, t), (r, x, t) is an element of R x R(n)x]0,+infinity[, where Xi is the Laplacian, Xi = partial derivative(2)/partial derivative r(2) + n/r partial derivative/partial derivative r + Sigma(n)(j=1) partial derivative(2)/partial derivative x(j)(2). In the second part of this work, we prove the existence and uniqueness of the extremal function associated with the Poisson convolution. We express this extremal function using the reproducing kernels and we establish important estimates for this function.
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页数:26
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