Choquet type L1-spaces of a vector capacity

Given a set function Λ with values in a Banach space X, we construct an integration theory for scalar functions with respect to Λ by using duality on X and Choquet scalar integrals. Our construction extends the classical Bartle–Dunford–Schwartz integration for vector measures. Since just the minimal...

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Authors: Delgado Garrido, Olvido; Sánchez Pérez, E. A.
Format: Article
Status:Submitted version
Publication date:2017
Country:España
Institution:Universidad de Sevilla (US)
Repository:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/103812
Online Access:https://hdl.handle.net/11441/103812
https://doi.org/10.1016/j.fss.2017.05.014
Access Level:Open access
Keyword:Non-additive measures
Measures of information
Choquet integral
Fuzzy measure
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author Delgado Garrido, Olvido
author2 Sánchez Pérez, E. A.
author2_role author
author_browse Delgado Garrido, Olvido
Sánchez Pérez, E. A.
author_facet Delgado Garrido, Olvido
Sánchez Pérez, E. A.
author_role author
collection idUS. Depósito de Investigación de la Universidad de Sevilla
description Given a set function Λ with values in a Banach space X, we construct an integration theory for scalar functions with respect to Λ by using duality on X and Choquet scalar integrals. Our construction extends the classical Bartle–Dunford–Schwartz integration for vector measures. Since just the minimal necessary conditions on Λ are required, several -spaces of integrable functions associated to Λ appear in such a way that the integration map can be defined in them. We study the properties of these spaces and how they are related. We show that the behavior of the -spaces and the integration map can be improved in the case when X is an order continuous Banach lattice, providing new tools for (non-linear) operator theory and information sciences.
eu_rights_str_mv openAccess
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institution Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
network_acronym_str ES
network_name_str España
oai_identifier_str oai:idus.us.es:11441/103812
publishDate 2017
publishDateSort 2017
publisher Elsevier
publisherStr Elsevier
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
spelling Choquet type L1-spaces of a vector capacity Delgado Garrido, Olvido Sánchez Pérez, E. A. Non-additive measures Measures of information Choquet integral Fuzzy measure Given a set function Λ with values in a Banach space X, we construct an integration theory for scalar functions with respect to Λ by using duality on X and Choquet scalar integrals. Our construction extends the classical Bartle–Dunford–Schwartz integration for vector measures. Since just the minimal necessary conditions on Λ are required, several -spaces of integrable functions associated to Λ appear in such a way that the integration map can be defined in them. We study the properties of these spaces and how they are related. We show that the behavior of the -spaces and the integration map can be improved in the case when X is an order continuous Banach lattice, providing new tools for (non-linear) operator theory and information sciences. Ministerio de Economía y Competitividad MTM2015-65888-C4-1-P Ministerio de Economía y Competitividad MTM2016-77054-C2-1-P Junta de Andalucía FQM-7276 Elsevier https://hdl.handle.net/11441/103812 https://doi.org/10.1016/j.fss.2017.05.014
spellingShingle Choquet type L1-spaces of a vector capacity
Delgado Garrido, Olvido
Non-additive measures
Measures of information
Choquet integral
Fuzzy measure
status_str submittedVersion
title Choquet type L1-spaces of a vector capacity
title_full Choquet type L1-spaces of a vector capacity
title_fullStr Choquet type L1-spaces of a vector capacity
title_full_unstemmed Choquet type L1-spaces of a vector capacity
title_short Choquet type L1-spaces of a vector capacity
title_sort Choquet type L1-spaces of a vector capacity
topic Non-additive measures
Measures of information
Choquet integral
Fuzzy measure
topic_facet Non-additive measures
Measures of information
Choquet integral
Fuzzy measure
url https://hdl.handle.net/11441/103812
https://doi.org/10.1016/j.fss.2017.05.014