English

On a spectral representation for correlation measures in configuration space analysis

Probability 2007-05-23 v1

Abstract

The paper is devoted to the study of configuration space analysis by using the projective spectral theorem. For a manifold XX, let ΓX\Gamma_X, resp.\ ΓX,0\Gamma_{X,0} denote the space of all, resp. finite configurations in XX. The so-called KK-transform, introduced by A. Lenard, maps functions on ΓX,0\Gamma_{X,0} into functions on ΓX\Gamma_{X} and its adjoint KK^* maps probability measures on ΓX\Gamma_X into σ\sigma-finite measures on ΓX,0\Gamma_{X,0}. For a probability measure μ\mu on ΓX\Gamma_X, ρμ:=Kμ\rho_\mu:=K^*\mu is called the correlation measure of μ\mu. We consider the inverse problem of existence of a probability measure μ\mu whose correlation measure ρμ\rho_\mu is equal to a given measure ρ\rho. We introduce an operation of \star-convolution of two functions on ΓX,0\Gamma_{X,0} and suppose that the measure ρ\rho is \star-positive definite, which enables us to introduce the Hilbert space Hρ{\cal H}_\rho of functions on ΓX,0\Gamma_{X,0} with the scalar product (G(1),G(2))Hρ=ΓX,0(G(1)Gˉ(2))(η)ρ(dη)(G^{(1)},G^{(2)})_{{\cal H}_{\rho}}= \int_{\Gamma_{X,0}}(G^{(1)}\star\bar G{}^{(2)})(\eta) \rho(d\eta). Under a condition on the growth of the measure ρ\rho on the nn-point configuration spaces, we construct the Fourier transform in generalized joint eigenvectors of some special family A=(Aϕ)ϕ\DA=(A_\phi)_{\phi\in\D}, \D:=C0(X)\D:=C_0^\infty(X), of commuting selfadjoint operators in Hρ{\cal H}_\rho. We show that this Fourier transform is a unitary between Hρ{\cal H}_{\rho} and the L2L^2-space L2(ΓX,dμ)L^2(\Gamma_X,d\mu), where μ\mu is the spectral measure of AA. Moreover, this unitary coincides with the KK-transform, while the measure ρ\rho is the correlation measure of μ\mu.

Keywords

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}
}