2014
DOI: 10.1080/01630563.2014.895762
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Best Proximity Pair Results for Relatively Nonexpansive Mappings in Geodesic Spaces

Abstract: Given A and B two nonempty subsets in a metric space, a mapping T :In this work, we extend the results given in [A.A. Eldred, W.A. Kirk, P. Veeramani, Proximal normal structure and relatively nonexpansive mappings, Studia Math. 171, 283-293 (2005)] for relatively nonexpansive mappings in Banach spaces to more general metric spaces. Namely, we give existence results of best proximity points for cyclic and noncyclic relatively nonexpansive mappings in the context of Busemann convex reflexive metric spaces. Moreo… Show more

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Cited by 13 publications
(6 citation statements)
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“…Proposition 2.1. (Proposition 3.1 of [11]) If (A, B) is a nonempty, closed and convex pair in a reflexive and Busemann space X such that B is bounded, then (A 0 , B 0 ) is nonempty, bounded, closed and convex. Definition 2.4.…”
Section: Definition 23 ([1]mentioning
confidence: 99%
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“…Proposition 2.1. (Proposition 3.1 of [11]) If (A, B) is a nonempty, closed and convex pair in a reflexive and Busemann space X such that B is bounded, then (A 0 , B 0 ) is nonempty, bounded, closed and convex. Definition 2.4.…”
Section: Definition 23 ([1]mentioning
confidence: 99%
“…A concept of proximal normal structure was first introduced in [4]. It was then improved in [11] from Banach spaces to geodesic spaces as below.…”
Section: Lemma 23 ([22]mentioning
confidence: 99%
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“…We mention that the proof of Theorem 2.3 is based on the fact that any compact and convex pair in a geodesic space with convex metric has a geometric notion, called proximal normal structure (see Proposition 3.10 of [11]). To state an extended version of Theorem 2.3 we recall the following concept.…”
Section: Lemma 21 ([5]mentioning
confidence: 99%
“…We mention that Theorem 1.1 is based on the fact that every nonempty, bounded, closed, and convex pair of subsets of a uniformly convex Banach space X has a proximal normal structure, and so the result follows from Theorem 2.2 of [4] (see also [6] for a different approach to the same problem).…”
Section: Introductionmentioning
confidence: 99%