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Fixed Point Results and Convergence Analysis for G-path-averaged Contractions in G-metric Spaces

1Department Of Mathematical Sciences, Faculty Of Science and Technology, Bingham University, Km 26 Abujakeffi Expressway, Kodape (New Karu),Nasarawa State 961105, Nigeria.
* Corresponding Author: M. O. Francis. Email: francis-moses.obinna@binghamuni.edu.ng

Annals of Communications in Mathematics 2026, 9(1), 8. https://doi.org/10.62072/acm.2026.09008
Received: 12 January 2026 |
Accepted: 18 February 2026 |
Published: 31 March 2026

Abstract:

In this paper we introduce a new orbit-based contractive framework in the setting of \( G \)-metric spaces, called \( (m,\alpha) \) \( G \)-path-averaged (\( G \)-PA) contractions with \( m \geq 2 \). This notion extends Fabião’s path-averaged contractions to the triadic geometry of Mustafa–Sims \( G \)-metrics and is designed to avoid collapse to pointwise contractivity. For a \( G \)-continuous self-map on a complete \( G \)-metric space, we establish existence and uniqueness of a fixed point and prove that the Picard iteration converges to it in the sense of \( G \)-convergence. Moreover, we derive explicit quantitative estimates, including a posteriori and a priori geometric error bounds for the iterates. We also relate the new class to the induced metric \( d_G \), showing that every \( G \)-PA contraction yields a path-averaged contraction on \( (X, d_G) \), and we provide examples demonstrating that the \( G \)-PA class can be strictly larger than the Banach-type contraction class. Finally, we obtain multi-step (\( t \)-point) fixed point and convergence results by embedding the recursion into a shift map on the product space \( (X^t, \sigma^t) \) and applying the single-valued theory.

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Cite This Article

C. P. Olawoore, M. O. Francis and A. A. Ahiaba.
Fixed Point Results and Convergence Analysis for G-path-averaged Contractions in G-metric Spaces.
Annals of Communications in Mathematics
2026,
9(1):
8.
https://doi.org/10.62072/acm.2026.09008

Creative Commons License
Copyright © 2026 by the Author(s). Licensee Techno Sky Publications. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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