paper

Maximal inequality of Stochastic convolution driven by compensated Poisson random measures in Banach spaces

arXiv:1005.1600

Abstract

Let be a Banach space such that, for some , the function is of class and its first and second Fréchet derivatives are bounded by some constant multiples of -th power of the norm and -th power of the norm and let be a -semigroup of contraction type on . We consider the following stochastic convolution process \begin{align*} u(t)=\int_0^t\int_ZS(t-s)ξ(s,z)\,\tilde{N}(\mathrm{d} s,\mathrm{d} z), \;\;\; t\geq 0, \end{align*} where is a compensated Poisson random measure on a measurable space and is an -predictable function. We prove that there exists a càdlàg modification a of the process which satisfies the following maximal inequality \begin{align*} \mathbb{E} \sup_{0\leq s\leq t} \|\tilde{u}(s)\|^{q^\prime}\leq C\ \mathbb{E} \left(\int_0^t\int_Z \|ξ(s,z) \|^{p}\,N(\mathrm{d} s,\mathrm{d} z)\right)^{\frac{q^\prime}{p}}, \end{align*} for all and with .

This version is only very slightly updated as compared to the one from September 2015

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