On a spectral representation for correlation measures in configuration space analysis
Abstract
The paper is devoted to the study of configuration space analysis by using the projective spectral theorem. For a manifold , let , resp.\ denote the space of all, resp. finite configurations in . The so-called -transform, introduced by A. Lenard, maps functions on into functions on and its adjoint maps probability measures on into -finite measures on . For a probability measure on , is called the correlation measure of . We consider the inverse problem of existence of a probability measure whose correlation measure is equal to a given measure . We introduce an operation of -convolution of two functions on and suppose that the measure is -positive definite, which enables us to introduce the Hilbert space of functions on with the scalar product . Under a condition on the growth of the measure on the -point configuration spaces, we construct the Fourier transform in generalized joint eigenvectors of some special family , , of commuting selfadjoint operators in . We show that this Fourier transform is a unitary between and the -space , where is the spectral measure of . Moreover, this unitary coincides with the -transform, while the measure is the correlation measure of .
Cite
@article{arxiv.math/0608343,
title = {On a spectral representation for correlation measures in configuration space analysis},
author = {Yu. M. Berezansky and Yu. G. Kondratiev and T. Kuna and E. Lytvynov},
journal= {arXiv preprint arXiv:math/0608343},
year = {2007}
}