Some Results on Best Proximity Points of Cyclic Contractions in Probabilistic Metric Spaces

This paper investigates properties of convergence of distances of p-cyclic contractions on the union of the p subsets of an abstract set X defining probabilistic metric spaces and Menger probabilistic metric spaces as well as the characterization of Cauchy sequences which converge to the best proxi...

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Main Authors: Manuel De la Sen, Erdal Karapınar
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2015/470574
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author Manuel De la Sen
Erdal Karapınar
author_facet Manuel De la Sen
Erdal Karapınar
author_sort Manuel De la Sen
collection DOAJ
description This paper investigates properties of convergence of distances of p-cyclic contractions on the union of the p subsets of an abstract set X defining probabilistic metric spaces and Menger probabilistic metric spaces as well as the characterization of Cauchy sequences which converge to the best proximity points. The existence and uniqueness of fixed points and best proximity points of p-cyclic contractions defined in induced complete Menger spaces are also discussed in the case when the associate complete metric space is a uniformly convex Banach space. On the other hand, the existence and the uniqueness of fixed points of the p-composite mappings restricted to each of the p subsets in the cyclic disposal are also investigated and some illustrative examples are given.
format Article
id doaj-art-746430b31a0449d6aa36006c46531da0
institution Kabale University
issn 2314-8896
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language English
publishDate 2015-01-01
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series Journal of Function Spaces
spelling doaj-art-746430b31a0449d6aa36006c46531da02025-02-03T05:59:12ZengWileyJournal of Function Spaces2314-88962314-88882015-01-01201510.1155/2015/470574470574Some Results on Best Proximity Points of Cyclic Contractions in Probabilistic Metric SpacesManuel De la Sen0Erdal Karapınar1Institute of Research and Development of Processes IIDP, Faculty of Science and Technology, University of the Basque Country, P.O. Box 644 de Bilbao Barrio Sarriena, Leioa, 48940 Bizkaia, SpainDepartment of Mathematics, ATILIM University, Incek, 06836 Ankara, TurkeyThis paper investigates properties of convergence of distances of p-cyclic contractions on the union of the p subsets of an abstract set X defining probabilistic metric spaces and Menger probabilistic metric spaces as well as the characterization of Cauchy sequences which converge to the best proximity points. The existence and uniqueness of fixed points and best proximity points of p-cyclic contractions defined in induced complete Menger spaces are also discussed in the case when the associate complete metric space is a uniformly convex Banach space. On the other hand, the existence and the uniqueness of fixed points of the p-composite mappings restricted to each of the p subsets in the cyclic disposal are also investigated and some illustrative examples are given.http://dx.doi.org/10.1155/2015/470574
spellingShingle Manuel De la Sen
Erdal Karapınar
Some Results on Best Proximity Points of Cyclic Contractions in Probabilistic Metric Spaces
Journal of Function Spaces
title Some Results on Best Proximity Points of Cyclic Contractions in Probabilistic Metric Spaces
title_full Some Results on Best Proximity Points of Cyclic Contractions in Probabilistic Metric Spaces
title_fullStr Some Results on Best Proximity Points of Cyclic Contractions in Probabilistic Metric Spaces
title_full_unstemmed Some Results on Best Proximity Points of Cyclic Contractions in Probabilistic Metric Spaces
title_short Some Results on Best Proximity Points of Cyclic Contractions in Probabilistic Metric Spaces
title_sort some results on best proximity points of cyclic contractions in probabilistic metric spaces
url http://dx.doi.org/10.1155/2015/470574
work_keys_str_mv AT manueldelasen someresultsonbestproximitypointsofcycliccontractionsinprobabilisticmetricspaces
AT erdalkarapınar someresultsonbestproximitypointsofcycliccontractionsinprobabilisticmetricspaces