Laplace transform identities and measure-preserving transformations on the Lie–Wiener–Poisson spaces

Given a divergence operator δ on a probability space such that the law of δ(h) is infinitely divisible with characteristic exponent we derive a family of Laplace transform identities for the derivative ∂E[eλδ(u)]/∂λ when u is a non-necessarily adapted process. These expressions are based on intrinsi...

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Main Author: Privault, Nicolas
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/97911
http://hdl.handle.net/10220/17123
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-979112020-03-07T12:34:40Z Laplace transform identities and measure-preserving transformations on the Lie–Wiener–Poisson spaces Privault, Nicolas School of Physical and Mathematical Sciences DRNTU::Science::Mathematics::Analysis Given a divergence operator δ on a probability space such that the law of δ(h) is infinitely divisible with characteristic exponent we derive a family of Laplace transform identities for the derivative ∂E[eλδ(u)]/∂λ when u is a non-necessarily adapted process. These expressions are based on intrinsic geometric tools such as the Carleman–Fredholm determinant of a covariant derivative operator and the characteristic exponent (0.1), in a general framework that includes the Wiener space, the path space over a Lie group, and the Poisson space. We use these expressions for measure characterization and to prove the invariance of transformations having a quasi-nilpotent covariant derivative, for Gaussian and other infinitely divisible distributions. 2013-10-31T05:46:30Z 2019-12-06T19:48:13Z 2013-10-31T05:46:30Z 2019-12-06T19:48:13Z 2012 2012 Journal Article Privault, N. (2012). Laplace transform identities and measure-preserving transformations on the Lie–Wiener–Poisson spaces. Journal of functional analysis, 263(10), 2993-3023. 0022-1236 https://hdl.handle.net/10356/97911 http://hdl.handle.net/10220/17123 10.1016/j.jfa.2012.07.017 en Journal of functional analysis
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Science::Mathematics::Analysis
spellingShingle DRNTU::Science::Mathematics::Analysis
Privault, Nicolas
Laplace transform identities and measure-preserving transformations on the Lie–Wiener–Poisson spaces
description Given a divergence operator δ on a probability space such that the law of δ(h) is infinitely divisible with characteristic exponent we derive a family of Laplace transform identities for the derivative ∂E[eλδ(u)]/∂λ when u is a non-necessarily adapted process. These expressions are based on intrinsic geometric tools such as the Carleman–Fredholm determinant of a covariant derivative operator and the characteristic exponent (0.1), in a general framework that includes the Wiener space, the path space over a Lie group, and the Poisson space. We use these expressions for measure characterization and to prove the invariance of transformations having a quasi-nilpotent covariant derivative, for Gaussian and other infinitely divisible distributions.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Privault, Nicolas
format Article
author Privault, Nicolas
author_sort Privault, Nicolas
title Laplace transform identities and measure-preserving transformations on the Lie–Wiener–Poisson spaces
title_short Laplace transform identities and measure-preserving transformations on the Lie–Wiener–Poisson spaces
title_full Laplace transform identities and measure-preserving transformations on the Lie–Wiener–Poisson spaces
title_fullStr Laplace transform identities and measure-preserving transformations on the Lie–Wiener–Poisson spaces
title_full_unstemmed Laplace transform identities and measure-preserving transformations on the Lie–Wiener–Poisson spaces
title_sort laplace transform identities and measure-preserving transformations on the lie–wiener–poisson spaces
publishDate 2013
url https://hdl.handle.net/10356/97911
http://hdl.handle.net/10220/17123
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