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 TIA, Academy of Sciences, Praha, Czech Republic |
DOI:
10.1080/07362990701673047
Publication Frequency:
6 issues per year
Published in:
Stochastic Analysis and Applications,
Volume
26,
Issue
1
January
2008
, pages 98
- 119
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Abstract
Stochastic convolutions
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 |
| view references (42) |

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TIA, Academy of Sciences, Praha, Czech Republic
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.
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