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Local Gradients on the Poisson Space

Nicolas Privault*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksChapter in research book/monograph/textbook (Author)peer-review

Abstract

We study a class of local gradient operators on Poisson space that have the derivation property. This allows us to give another example of a gradient operator that satisfies the hypotheses of Chapter 3, this time for a discontinuous process. In particular we obtain an anticipative extension of the compensated Poisson stochastic integral and other expressions for the Clark predictable representation formula. The fact that the gradient operator satisfies the chain rule of derivation has important consequences for deviation inequalities, computation of chaos expansions, characterizations of Poisson measures, and sensitivity analysis. It also leads to the definition of an infinite dimensional geometry under Poisson measures.
Original languageEnglish
Title of host publicationStochastic Analysis in Discrete and Continuous Settings
Subtitle of host publicationWith Normal Martingales
PublisherSpringer Berlin Heidelberg
Chapter7
Pages247-280
ISBN (Electronic)9783642023804
ISBN (Print)9783642023798
DOIs
Publication statusPublished - 2009

Publication series

NameLecture Notes in Mathematics
PublisherSpringer-Verlag Berlin Heidelberg
Volume1982
ISSN (Print)0075-8434
ISSN (Electronic)1617-9692

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