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Cluster point processes on manifolds

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Publication details

JournalJournal of Geometry and Physics
DateE-pub ahead of print - 29 Sep 2012
DatePublished (current) - Jan 2013
Issue number1
Number of pages35
Pages (from-to)45-79
Early online date29/09/12
Original languageEnglish


The probability distribution $\mu_{cl}$ of a general cluster point process in a Riemannian manifold $X$ (with independent random clusters attached to points of a configuration with distribution $\mu$) is studied via the projection of an auxiliary measure $\hat{\mu}$ in the space of configurations $\hat{\gamma}=\{(x,\bar{y})\}\subset X\times\mathfrak{X}$, where $x\in X$ indicates a cluster "centre" and $\bar{y}\in\mathfrak{X}:=\bigsqcup_{n} X^n$ represents a corresponding cluster relative to $x$. We show that the measure $\mu_{cl}$ is quasi-invariant with respect to the group $Diff_{0}(X)$ of compactly supported diffeomorphisms of $X$, and prove an integration-by-parts formula for $\mu_{cl}$. The associated equilibrium stochastic dynamics is then constructed using the method of Dirichlet forms. General constructions are illustrated by examples including Euclidean spaces, Lie groups, homogeneous spaces, Riemannian manifolds of nonpositive curvature and metric spaces. The paper is an extension of our earlier results for Poisson cluster measures [J. Funct. Analysis 256 (2009) 432-478] and for Gibbs cluster measures [arxiv:1007.3148], where different projection constructions were utilised.

    Research areas

  • Cluster point process; , Configuration space; , Riemannian manifold; , Poisson measure, Projection, Quasi-invariance;, Integration by parts, Dirichlet form, stochastic dynamics

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