Weak Proximal Normal Structure and Coincidence Quasi-Best Proximity Points
Loading...

Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Univ Politecnica Valencia, Editorial Upv
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
61
OpenAIRE Views
71
Publicly Funded
No
Abstract
We introduce the notion of pointwise cyclic-noncyclic relatively nonexpansive pairs involving orbits. We study the best proximity point problem for this class of mappings. We also study the same problem for the class of pointwise noncyclic-noncyclic relatively nonexpansive pairs involving orbits. Finally, under the assumption of weak proximal normal structure, we prove a coincidence quasi-best proximity point theorem for pointwise cyclic-noncyclic relatively nonexpansive pairs involving orbits. Examples are provided to illustrate the observed results.
Description
Keywords
Pointwise Cyclic-Noncyclic Pairs, Weak Proximal Normal Structure, Coincidence Quasi-Best Proximity Point, QA299.6-433, pointwise cyclic-noncyclic pairs, coincidence quasi-best proximity point, Coincidence quasi-best proximity point, QA1-939, Weak proximal normal structure, Pointwise cyclic-noncyclic pairs, weak proximal normal structure, Mathematics, Analysis, Geometry and structure of normed linear spaces, Abstract approximation theory (approximation in normed linear spaces and other abstract spaces), Contraction-type mappings, nonexpansive mappings, \(A\)-proper mappings, etc.
Fields of Science
0101 mathematics, 01 natural sciences
Citation
Fouladi, Farhad; Abkar, Ali; Karapınar, Erdal (2020). "Weak proximal normal structure and coincidence quasi-best proximity points", Applied General Topology, Vol. 21, No. 2, pp. 331-347.
WoS Q
Q2
Scopus Q
Q2

OpenCitations Citation Count
1
Source
Applied General Topology
Volume
21
Issue
2
Start Page
331
End Page
347
PlumX Metrics
Citations
Scopus : 1
Captures
Mendeley Readers : 2
SCOPUS™ Citations
1
checked on Feb 26, 2026
Web of Science™ Citations
1
checked on Feb 26, 2026
Page Views
4
checked on Feb 26, 2026
Google Scholar™


