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WROCŁAW UNIVERSITY
OF SCIENCE AND
TECHNOLOGY

Contents of PMS, Vol. 3, Fasc. 2,
pages 217 - 239
 

ON MULTIPLE POISSON STOCHASTIC INTEGRALS AND ASSOCIATED MARKOV SEMIGROUPS

D. Surgailis

Abstract: Multiple stochastic integrals (m.s.i.)

 (n)      integral 
q  (f) =  X f(x1,...,xn)q(dx1)...q(dxn),  n = l,2,...
           n
with respect to the centered Poisson random measure q(dx), E[q(dx)] = 0, E[(q(dx))] = m(dx), are discussed, where (X, m) is a measurable space. A ”diagram formula” for evaluation of products of (Poisson) m.s.i. as sums of m.s.i. is derived. With a given contraction semigroup At, t > 0, in  2
L (X) we associate a semigroup G(At), t > 0, in   2
L (_O_) by the relation

     (n)              (n)
G(At)q   (f1^ ox  ... ox ^fn) = q  (Atf1^ ox  ...^ ox Atfn)
and prove that G(At), t > 0, is Markov if and only if At, t > 0, is doubly sub-Markov; the corresponding Markov process can be described as time evolution (with immigration) of the (infinite) system of particles, each moving independently according to At, t > 0.

2000 AMS Mathematics Subject Classification: Primary: -; Secondary: -;

Key words and phrases: -

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