Best proximity point results in topological spaces and extension of Banach contraction principle

TL;DR

This paper extends the Banach contraction principle to topological spaces by introducing a new class of mappings and best proximity point results, broadening the scope beyond metric and Banach spaces.

Contribution

It introduces topologically Banach contraction mappings and new conditions for best proximity points in topological spaces, generalizing existing fixed point results.

Findings

Established existence of fixed points for new mappings in topological spaces.

Extended best proximity point results from metric to topological spaces.

Introduced g-closed and g-sequentially compact subsets with illustrative examples.

Abstract

In this paper, we introduce the notion of topologically Banach contraction mapping defined on an arbitrary topological space X with the help of a continuous function $g:X\times X\rightarrow \mathbb{R}$ and investigate the existence of fixed points of such mapping. Moreover, we introduce two types of mappings defined on a non-empty subset of X and produce sufficient conditions which will ensure the existence of best proximity points for these mappings. Our best proximity point results also extend some existing results from metric spaces or Banach spaces to topological spaces. More precisely, our newly introduced mappings are more general than that of the corresponding notions introduced by Bunlue and Suantai [Arch. Math. (Brno), 54(2018), 165-176]. We present several examples to validate our results and justify its motivation. To study best proximity point results, we introduce the notions of g-closed, g-sequentially compact subsets of X and produce examples to show that there exists a non-empty subset of X which is not closed, sequentially compact under usual topology but is g-closed and g-sequentially compact.