Title: Equilibrium stochastic dynamics of Poisson cluster ensembles
Author(s):

	L.Bogachev (Department of Statistics, University of Leeds, Leeds LS2 9JT, UK) ,
	A.Daletskii (Department of Mathematics, University of York, York YO10 5DD, UK)

The distribution μ of a Poisson cluster process in Χ=R^d (with n-point clusters) is studied via the projection of an auxiliary Poisson measure in the space of configurations in Χⁿ, with the intensity measure being the convolution of the background intensity (of cluster centres) with the probability distribution of a generic cluster. We show that μ is quasi-invariant with respect to the group of compactly supported diffeomorphisms of Χ, and prove an integration by parts formula for μ. The corresponding equilibrium stochastic dynamics is then constructed using the method of Dirichlet forms.

Key words: cluster point process, Poisson measure, configuration space, quasi-invariance, integration by parts, Dirichlet form, stochastic dynamics
PACS: 02.50.Ey, 02.50.Fz, 02.30.Sa, 02.40.Vh, 36.40.Sx