Abstract

The classical Banach contraction theorem has a lot of applications [1]. One of the interesting generalizations of Banach contraction is the well known Meir Keeler contraction theorem [12]. In [3], the following notions are introduced.If A and B are non empty subsets of a metric space (X, d), and if T : A∪B → A∪B is such that T (A) ⊆ T (B) and T (B) ⊆ T (A), then T is called a cyclic map. A point x ∈ A∪B is called a best proximity point if d(x, Tx) = dist(A,B), where dist(A,B) = inf{d(x, y) : x ∈ A and y ∈ B}. In this paper a best proximity point is obtained for a map called cyclic contraction. It is further generalized in [2] by introducing a map called cyclic Meir Keeler contraction.

Highlights

  • Introduction and PreliminariesThe classical Banach contraction theorem has a lot of applications [1]

  • In [3], the following notions are introduced.If A and B are non empty subsets of a metric space (X, d), and if T : A ∪ B → A ∪ B is such that T (A) ⊆ T (B) and T (B) ⊆ T (A), T is called a cyclic map

  • In this paper a best proximity point is obtained for a map called cyclic contraction

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Summary

A NOTE ON BEST PROXIMITY POINTS FOR

AMS Subject Classification: 54H25, 47H10 Key Words: uniformly convex Banach space, best proximity points, p–cyclic maps, orbital contractions, integral operator

Introduction and Preliminaries
Main Result
Auxiliary Results
Proof of Main Result
Applications and Examples
Full Text
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