Mikailalsys Journal of Mathematics and Statistics
Vol 4 No 3 (2026): Mikailalsys Journal of Mathematics and Statistics

Morawo Common Fixed Point under Commutative Contraction Mappings in Digital Metric Spaces

Monsuru A Morawo (Unknown)
Otoide F Fortune (Unknown)
Mshelia I Bello (Unknown)
Ahmadu M Brono (Unknown)
Ahmadu Kiltho (Unknown)



Article Info

Publish Date
16 Sep 2026

Abstract

The contraction mapping principle is a fundamental tool for establishing solutions to linear and nonlinear systems of ordinary differential equations. It guarantees that a contraction self-mapping on a complete metric space has a unique fixed point that can be approximated through an iterative sequence generated from an arbitrary initial point. This study examines the existence, uniqueness, and related analytical properties of fixed points for contraction mappings in digital metric spaces, including the uniform continuity of such mappings. Using a theoretical and analytical approach, existing results on dual-commutative contraction mappings were reviewed to determine the conditions under which unique fixed points exist in digital metric spaces. These results were subsequently extended from dual-commutative to triple-commutative contraction mappings. The analysis establishes that the proposed triple-commutative mappings satisfy the stated contraction conditions required for the existence and uniqueness of fixed points within the digital metric framework. Illustrative examples are provided to demonstrate the applicability of the established results. This extension broadens the theoretical framework of fixed-point analysis in digital metric spaces and provides a foundation for further investigations of higher-order commutative contraction mappings.

Copyrights © 2026






Journal Info

Abbrev

MJMS

Publisher

Subject

Engineering Mathematics Mechanical Engineering

Description

The journal contains scientific articles covering topics such as mathematical theory, statistical methods, the application of mathematics in various disciplines, and statistical data analysis. The primary objective of this journal is to promote a better understanding of mathematical and statistical ...