Permanental fields, loop soups and continuous additive functionals

Abstract

A permanental field, =\(),∈ V\, is a particular stochastic process indexed by a space of measures on a set S. It is determined by a kernel u(x,y), x,y∈ S, that need not be symmetric and is allowed to be infinite on the diagonal. We show that these fields exist when u(x,y) is a potential density of a transient Markov process X in S. A permanental field can be realized as the limit of a renormalized sum of continuous additive functionals determined by a loop soup of X, which we carefully construct. A Dynkin-type isomorphism theorem is obtained that relates to continuous additive functionals of X (continuous in t), L=\Lt,( ,t)∈ V× R+\. Sufficient conditions are obtained for the continuity of L on V× R+. The metric on V is given by a proper norm.

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