Stochastic Analysis with Modelled Distributions
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Date
2016-09-13
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Working Paper
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Abstract
Using a Besov topology on spaces of modelled distributions in the framework of Hairer's regularity structures, we prove the reconstruction theorem on these Besov spaces with negative regularity. The Besov spaces of modelled distributions are shown to be UMD Banach spaces and of martingale type 2. As a consequence, this gives access to a rich stochastic integration theory and to existence and uniqueness results for mild solutions of semilinear stochastic partial differential equations in these spaces of modelled distributions and for distribution-valued SDEs. Furthermore, we provide a Fubini type theorem allowing to interchange the order of stochastic integration and reconstruction.
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published
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1609.03834
Publisher
Cornell University
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Subject
UMD and M-type 2 Banach Spaces; Regularity structures; Rough path; Stochastic integration in Banach spaces
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03845 - Teichmann, Josef / Teichmann, Josef
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