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 X, let X, resp.\ X,0 denote the space of all, resp. finite configurations in X. The so-called K-transform, introduced by A. Lenard, maps functions on X,0 into functions on X and its adjoint K* maps probability measures on X into σ-finite measures on X,0. For a probability measure μ on X, μ:=K*μ is called the correlation measure of μ. We consider the inverse problem of existence of a probability measure μ whose correlation measure μ is equal to a given measure . We introduce an operation of -convolution of two functions on X,0 and suppose that the measure is -positive definite, which enables us to introduce the Hilbert space H of functions on X,0 with the scalar product (G(1),G(2)) H= ∫_X,0(G(1) G(2))(η) (dη). Under a condition on the growth of the measure on the n-point configuration spaces, we construct the Fourier transform in generalized joint eigenvectors of some special family A=(Aφ)φ∈, :=C0∞(X), of commuting selfadjoint operators in H. We show that this Fourier transform is a unitary between H and the L2-space L2(X,dμ), where μ is the spectral measure of A. Moreover, this unitary coincides with the K-transform, while the measure is the correlation measure of μ.

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