PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 26, 2026Mathematics0 citationsOpen Access

Best Proximity Point for (ϰ-ϝ)-Weak Proximal Contraction in Non-Archimedean Generalized Menger Space with Application to Computer Science

View Full Paper
LOLahcen OumertouAbdelmalek Essaâdi UniversityYAYoussef AchtounAbdelmalek Essaâdi UniversityMPMirjana PantovićUniversity of Kragujevac

Key Points

  • To establish a framework for (ϰ-ϝ)-weak proximal contractions in non-Archimedean generalized Menger spaces and find their best proximity points.
  • Introduced concepts of non-Archimedean generalized Menger spaces and (ϰ-ϝ)-weak proximal contractions.
  • Developed new existence theorems without probabilistic P-property.
  • Utilized control functions within contraction conditions to derive solutions for fixed-point equations.
  • Demonstrated existence theorems for proximity points in non-self mappings.
  • Unified various established theorems from probabilistic and G-metric spaces.
  • Proved that a self-mapping on infinite words has a unique fixed point.

Abstract

This paper introduces a novel framework by merging the concepts of non-Archimedean generalized Menger spaces and (ϰ-ϝ)-weak proximal contractions. Extending the best proximity point concept to a triple of sets, we establish new existence theorems for these contractions without requiring the probabilistic P-property, representing a meaningful advancement beyond prior findings, which is a significant generalization of existing results. The study leverages two control functions (ϰ and ϝ) within the contraction condition to derive optimal approximate solutions to fixed-point equations for non-self mappings. Consequently, our core results not only extend but also unify a range of established theorems within classical probabilistic and G-metric spaces. We present a significant application to theoretical computer science by proving that a self-mapping acting on infinite words possesses a unique fixed point.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Oumertou et al. (2026) studied this question.

synapsesocial.com/papers/69edac9b4a46254e215b4611https://doi.org/10.3390/math14091443
Ask AI
Helpful
Bookmark
Share
View Full Paper