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Approximating distance between sets by multivalued coupling with application to uniformly convex Banach spaces
Binayak S Choudhury1, Pranati Maity2, Nikhilesh Metiya3
11Department of Mathematics, Indian Institute of Engineering Science and Technology, Howrah, India.
This study introduces a novel method to calculate the distance between two sets using a multivalued coupling. The research defines best proximity points to determine this distance, with applications in metric and Banach spaces.
Area of Science:
- Mathematical Analysis
- Set Theory
- Topology
Background:
- Calculating distances between sets is fundamental in various mathematical fields.
- Existing methods may have limitations in certain complex spaces.
- Multivalued mappings offer advanced tools for exploring set relationships.
Purpose of the Study:
- To develop an iterative approach for determining the distance between two sets.
- To introduce and define "best proximity points" for multivalued couplings.
- To extend these findings to specific geometric spaces like uniformly convex Banach spaces.
Main Methods:
- Utilizing a specifically defined multivalued coupling for iterative distance calculation.
- Deducing a main theorem within the framework of metric spaces.
- Applying geometric properties of uniformly convex Banach spaces for specialized results.
Main Results:
- An iterative method is established to find the distance between two sets.
- The concept of best proximity points is defined and utilized to realize this distance.
- The theoretical framework is successfully applied to uniformly convex Banach spaces.
Conclusions:
- The proposed iterative method effectively ascertains the distance between sets.
- Best proximity points provide a concrete realization of the distance.
- The study demonstrates the utility of multivalued couplings in geometric analysis.
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