A note on best proximity point for proximal contraction
Sumit Som

TL;DR
This paper demonstrates that the best proximity point theorem for proximal contractions can be derived using the Banach contraction principle, providing a new perspective on existing results.
Contribution
It shows that the existing best proximity point theorem for proximal contractions can be proved via the Banach contraction principle, simplifying the approach.
Findings
The best proximity point theorem can be proved using Banach contraction principle.
The paper offers a new proof method for existing theorems.
Simplifies the understanding of proximal contractions and their fixed points.
Abstract
In the year 2011, S.Basha \cite{BS} introduced the notion of proximal contraction in a metric space and study the existence and uniqueness of best proximity point for this class of mappings. Also, the author gave an algorithm to achieve this best proximity point. In this paper, we show that the best proximity point theorem can be proved by Banach contraction principle.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFixed Point Theorems Analysis
