1989
DOI: 10.2307/2001305
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Hyperconvexity and Nonexpansive Multifunctions

Abstract: Abstract.It is shown that a ball intersection valued nonexpansive multifunction on a hyperconvex space admits a nonexpansive point valued selection. This implies fixed point theorems for such multifunctions and to certain point valued nonexpansive maps. The result is used to study best approximation and to show the space of all nonexpansive maps of a bounded hyperconvex space is hyperconvex.

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Cited by 15 publications
(26 citation statements)
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“…This paper focuses on external hyperconvexity, a concept which was also introduced by Aronszajn and Panitchpakdi in their fundamental paper [1]. Our main result, which extends the principal result of Sine [12], yields the fact that a lipschitzian set-valued mapping of a hyperconvex metric space into itself, taking externally hyperconvex values, always has a single valued selection which is lipschitzian for the same constant. This is used to show that the family of all bounded λ-lipschitzian mappings of a hyperconvex space into itself is itself hyperconvex.…”
Section: Introductionmentioning
confidence: 76%
“…This paper focuses on external hyperconvexity, a concept which was also introduced by Aronszajn and Panitchpakdi in their fundamental paper [1]. Our main result, which extends the principal result of Sine [12], yields the fact that a lipschitzian set-valued mapping of a hyperconvex metric space into itself, taking externally hyperconvex values, always has a single valued selection which is lipschitzian for the same constant. This is used to show that the family of all bounded λ-lipschitzian mappings of a hyperconvex space into itself is itself hyperconvex.…”
Section: Introductionmentioning
confidence: 76%
“…It turned out that hyperconvex spaces were very adequate to deal with multivalued mappings. More general versions of the next result can be found in [37] (see also [62] or [21]). The same result was proved for admissible valued mappings in [62]; it is an open question posed in [62] whether this theorem remains true if the images are supposed to be hyperconvex instead of admissible sets.…”
Section: Definition 32 Givenmentioning
confidence: 86%
“…Admissible subsets of hyperconvex spaces enjoy of a very large number of properties. These properties were very relevant when studying approximation problems and fixed point results; see for instance [21,33,46,61,62] among others. Obviously, the class of admissible sets is closed under arbitrary intersections.…”
Section: Definition 27mentioning
confidence: 99%
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