On the extension and kernels of signed bimeasures and their role in stochastic integration

Fuente: arXiv
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Main Author: Passeggeri, Riccardo
Format: Preprint
Published: 2020
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author Passeggeri, Riccardo
author_facet Passeggeri, Riccardo
contents In this work we provide a necessary and sufficient condition for the extension of signed bimeasures on $δ$-rings and for the existence of relative kernels. This result generalises the construction method of regular conditional probabilities to the more general setting of extended signed measures. Building on this result, we obtain the most general theory of stochastic integrals based on random measures, thus extending and generalising the whole integration theory developed in the celebrated Rajput and Rosinski's paper (\textit{Probab.~Theory Relat.~Fields}, \textbf{82} (1989) 451-487) and the recent results by Passeggeri (\textit{Stoch.~Process.~Their Appl.}, \textbf{130}, (3), (2020), 1735-1791).
format Preprint
id arxiv_https___arxiv_org_abs_2009_10657
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle On the extension and kernels of signed bimeasures and their role in stochastic integration
Passeggeri, Riccardo
Probability
Functional Analysis
Rings and Algebras
60G57, 60A10, 60E07, 28A35, 28A50, 28C15
In this work we provide a necessary and sufficient condition for the extension of signed bimeasures on $δ$-rings and for the existence of relative kernels. This result generalises the construction method of regular conditional probabilities to the more general setting of extended signed measures. Building on this result, we obtain the most general theory of stochastic integrals based on random measures, thus extending and generalising the whole integration theory developed in the celebrated Rajput and Rosinski's paper (\textit{Probab.~Theory Relat.~Fields}, \textbf{82} (1989) 451-487) and the recent results by Passeggeri (\textit{Stoch.~Process.~Their Appl.}, \textbf{130}, (3), (2020), 1735-1791).
title On the extension and kernels of signed bimeasures and their role in stochastic integration
topic Probability
Functional Analysis
Rings and Algebras
60G57, 60A10, 60E07, 28A35, 28A50, 28C15
url https://arxiv.org/abs/2009.10657