English

Uniqueness in Law of the stochastic convolution process driven by L\'evy noise

Probability 2013-04-02 v3

Abstract

We will give a proof of the following fact. If A1\mathfrak{A}_1 and A2\mathfrak{A}_2, η~1\tilde \eta_1 and η~2\tilde \eta_2, ξ1\xi_1 and ξ2\xi_2 are two examples of filtered probability spaces, time homogeneous compensated Poisson random measures, and progressively measurable Banach space valued processes such that the laws on Lp([0,T],Lp(Z,ν;E))×\CMI([0,T]×Z)L^p([0,T],{L}^{p}(Z,\nu ;E))\times \CM_I([0,T]\times Z) of the pairs (ξ1,η1)(\xi_1,\eta_1) and (ξ2,η2)(\xi_2,\eta_2) %, i=1,2i=1,2, are equal, and u1u_1 and u2u_2 are the corresponding stochastic convolution processes, then the laws on (\DD([0,T];X)Lp([0,T];B))×Lp([0,T],Lp(Z,ν;E))×\CMI([0,T]×Z) (\DD([0,T];X)\cap L^p([0,T];B)) \times L^p([0,T],{L}^{p}(Z,\nu ;E))\times \CM_I([0,T]\times Z) , where BEXB \subset E \subset X, of the triples (ui,ξi,ηi)(u_i,\xi_i,\eta_i), i=1,2i=1,2, are equal as well. By \DD([0,T];X)\DD([0,T];X) we denote the Skorokhod space of XX-valued processes.

Keywords

Cite

@article{arxiv.1010.5941,
  title  = {Uniqueness in Law of the stochastic convolution process driven by L\'evy noise},
  author = {Zdzisław Brzeźniak and Erika Hausenblas and Elżbieta Motyl},
  journal= {arXiv preprint arXiv:1010.5941},
  year   = {2013}
}