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

Abstract

We will give a proof of the following fact. If A1 and A2, η1 and η2, 1 and 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, ;E))× I([0,T]× Z) of the pairs (1,η1) and (2,η2) %, i=1,2, are equal, and u1 and u2 are the corresponding stochastic convolution processes, then the laws on (([0,T];X) Lp([0,T];B)) × Lp([0,T],Lp(Z, ;E))× I([0,T]× Z) , where B ⊂ E ⊂ X, of the triples (ui,i,ηi), i=1,2, are equal as well. By ([0,T];X) we denote the Skorokhod space of X-valued processes.

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