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Acta Mathematicae Applicatae Sinica English Series
Article . 1988 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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The fubini theorems of stochastic measures

The Fubini theorems of stochastic measures
Authors: Jiang, Tao; Xiong, Zhengxin; Chen, Peide;

The fubini theorems of stochastic measures

Abstract

Suppose that (S,\(\Sigma)\) is a measurable space, E a Banach space, and Z a vector measure on \(\Sigma\) with values in the dual E' of E. If \(f: S\to E\) is a simple function of the form \(f=\sum^{n}_{i=1}x_ i 1_{A_ i}\) \((x_ i\in E\), \(A_ i\in \Sigma\) disjoint), it is natural to define the integral of f relative to Z by \[ \int f dZ:=\sum^{n}_{i=1}. \] Under suitable assumptions on Z (e.g. to be of bounded variation) it is possible to extend this intgral and to prove analogues to theorems of classical integration theory: dominated convergence theorem, Fubini theorem etc. The paper contains some results of this type for the case \(E=L^ p\). The proofs are straight-forward generalizations of the classical proofs.

Keywords

stochastic integral, Stochastic integrals, stochastic measure, vector measure, Fubini theorem, Random measures, dominated convergence theorem

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Top 10%
Average
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