The Mean Value for Infinite Volume Measures, Infinite Products, and Heuristic Infinite Dimensional Lebesgue Measures

One of the goals of this article is to describe a setting adapted to the description of means (normalized integrals or invariant means) on an infinite product of measured spaces with infinite measure and of the concentration property on metric measured spaces, inspired from classical examples of mea...

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Main Author: Jean-Pierre Magnot
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2017/9853672
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author Jean-Pierre Magnot
author_facet Jean-Pierre Magnot
author_sort Jean-Pierre Magnot
collection DOAJ
description One of the goals of this article is to describe a setting adapted to the description of means (normalized integrals or invariant means) on an infinite product of measured spaces with infinite measure and of the concentration property on metric measured spaces, inspired from classical examples of means. In some cases, we get a linear extension of the limit at infinity. Then, the mean value on an infinite product is defined, first for cylindrical functions and secondly taking the uniform limit. Finally, the mean value for the heuristic Lebesgue measure on a separable infinite dimensional topological vector space (e.g., on a Hilbert space) is defined. This last object, which is not the classical infinite dimensional Lebesgue measure but its “normalized” version, is shown to be invariant under translation, scaling, and restriction.
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spelling doaj-art-b0bf486cdb6a4254aa61e0dd382accf82025-08-20T02:19:16ZengWileyJournal of Mathematics2314-46292314-47852017-01-01201710.1155/2017/98536729853672The Mean Value for Infinite Volume Measures, Infinite Products, and Heuristic Infinite Dimensional Lebesgue MeasuresJean-Pierre Magnot0Lycée Jeanne d’Arc, Avenue de Grande Bretagne, 63000 Clermont-Ferrand, FranceOne of the goals of this article is to describe a setting adapted to the description of means (normalized integrals or invariant means) on an infinite product of measured spaces with infinite measure and of the concentration property on metric measured spaces, inspired from classical examples of means. In some cases, we get a linear extension of the limit at infinity. Then, the mean value on an infinite product is defined, first for cylindrical functions and secondly taking the uniform limit. Finally, the mean value for the heuristic Lebesgue measure on a separable infinite dimensional topological vector space (e.g., on a Hilbert space) is defined. This last object, which is not the classical infinite dimensional Lebesgue measure but its “normalized” version, is shown to be invariant under translation, scaling, and restriction.http://dx.doi.org/10.1155/2017/9853672
spellingShingle Jean-Pierre Magnot
The Mean Value for Infinite Volume Measures, Infinite Products, and Heuristic Infinite Dimensional Lebesgue Measures
Journal of Mathematics
title The Mean Value for Infinite Volume Measures, Infinite Products, and Heuristic Infinite Dimensional Lebesgue Measures
title_full The Mean Value for Infinite Volume Measures, Infinite Products, and Heuristic Infinite Dimensional Lebesgue Measures
title_fullStr The Mean Value for Infinite Volume Measures, Infinite Products, and Heuristic Infinite Dimensional Lebesgue Measures
title_full_unstemmed The Mean Value for Infinite Volume Measures, Infinite Products, and Heuristic Infinite Dimensional Lebesgue Measures
title_short The Mean Value for Infinite Volume Measures, Infinite Products, and Heuristic Infinite Dimensional Lebesgue Measures
title_sort mean value for infinite volume measures infinite products and heuristic infinite dimensional lebesgue measures
url http://dx.doi.org/10.1155/2017/9853672
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AT jeanpierremagnot meanvalueforinfinitevolumemeasuresinfiniteproductsandheuristicinfinitedimensionallebesguemeasures