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Stochastic Convolutions Driven by Martingales: Maximal Inequalities and Exponential Integrability 

Authors: Erika Hausenblas a; Jan Seidler b
Affiliations:   a Institute of Mathematics, University of Salzburg, Salzburg, Austria
b UacuteTIA, Academy of Sciences, Praha, Czech Republic
DOI: 10.1080/07362990701673047
Publication Frequency: 6 issues per year
Published in: journal Stochastic Analysis and Applications, Volume 26, Issue 1 January 2008 , pages 98 - 119
Formats available: HTML (English) : PDF (English)
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Abstract

Stochastic convolutions LSAA_A_267154_O_XML_IMAGES\LSAA_A_267154_O_ILM0001.gif driven by a local martingale M in a Hilbert space are studied in the case when S(t) is a strongly continuous semigroup of contractions. Very simple proofs of the maximal inequality and exponential tail estimates are given by using unitary dilations and Zygmund's extrapolation theorem. Applications to stochastic convolutions driven by Poisson random measures are provided. A part of the results is then generalized to stochastic convolutions in Lq-spaces.
Keywords: Exponential tail estimates; Maximal inequality; Stochastic convolutions; Stochastic partial differential equations; Unitary dilations
Mathematics Subject Classification: 60H15
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