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Title: Finitely-additive, countably-additive and internal probability measures (English)
Author: Duanmu, Haosui
Author: Weiss, William
Language: English
Journal: Commentationes Mathematicae Universitatis Carolinae
ISSN: 0010-2628 (print)
ISSN: 1213-7243 (online)
Volume: 59
Issue: 4
Year: 2018
Pages: 467-485
Summary lang: English
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Category: math
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Summary: We discuss two ways to construct standard probability measures, called push-down measures, from internal probability measures. We show that the Wasserstein distance between an internal probability measure and its push-down measure is infinitesimal. As an application to standard probability theory, we show that every finitely-additive Borel probability measure $P$ on a separable metric space is a limit of a sequence of countably-additive Borel probability measures $\{P_n\}_{n\in \mathbb{N}}$ in the sense that $\int f \,{\rm d} P=\lim_{n\to \infty} \int f\, {\rm d} P_n$ for all bounded uniformly continuous real-valued function $f$ if and only if the space is totally bounded. (English)
Keyword: nonstandard model in mathematics
Keyword: nonstandard analysis
Keyword: nonstandard measure theory
Keyword: convergence of probability measures
MSC: 03H05
MSC: 26E35
MSC: 28E05
MSC: 60B10
idZBL: Zbl 06997363
idMR: MR3914713
DOI: 10.14712/1213-7243.2015.270
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Date available: 2018-12-28T15:10:25Z
Last updated: 2021-01-04
Stable URL: http://hdl.handle.net/10338.dmlcz/147551
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