Article ID Journal Published Year Pages File Type
1157113 Stochastic Processes and their Applications 2006 28 Pages PDF
Abstract

The martingale problem for superprocesses with parameters (ξ,Φ,k)(ξ,Φ,k) is studied where k(ds) may not be absolutely continuous with respect to the Lebesgue measure. This requires a generalization   of the concept of martingale problem: we show that for any process XX which partially solves the martingale problem, an extended form of the liftings defined in [E.B. Dynkin, S.E. Kuznetsov, A.V. Skorohod, Branching measure-valued processes, Probab. Theory Related Fields 99 (1995) 55–96] exists; these liftings are part of the statement of the full martingale problem  , which is hence not defined for processes XX who fail to solve the partial martingale problem  . The existence of a solution to the martingale problem follows essentially from Itô’s formula. The proof of uniqueness requires that we find a sequence of (ξ,Φ,kn)(ξ,Φ,kn)-superprocesses “approximating” the (ξ,Φ,k)(ξ,Φ,k)-superprocess, where kn(ds) has the form λn(s,ξs)ds. Using an argument in [N. El Karoui, S. Roelly-Coppoletta, Propriété de martingales, explosion et représentation de Lévy–Khintchine d’une classe de processus de branchement à valeurs mesures, Stochastic Process. Appl. 38 (1991) 239–266], applied to the (ξ,Φ,kn)(ξ,Φ,kn)-superprocesses, we prove, passing to the limit, that the full martingale problem has a unique solution. This result is applied to construct superprocesses with interactions via a Dawson–Girsanov transformation.

Related Topics
Physical Sciences and Engineering Mathematics Mathematics (General)
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