PreprintCC BY 4.0arXiv
Graded-Edge Rakotch Contractions in Generalized Metric Spaces with Weighted Graphs
Abstract
We introduce the notion of graded-edge Rakotch contraction mappings on a generalized metric space with a weighted graph. We prove that the successive iterate of every starting point converge uniformly to a common limit, which is the unique fixed point. We derive an explicit iteration-complexity bound and, under a relaxed triangle inequality, a geometric rate whose constant is the graph invariant. Finally, we illustrate the theory on an explicit real graded contraction that realizes the interior optimum, on a quadratic integral equation, and on finite weighted digraphs.
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BibTeX
@misc{beg2026gradededge,
title = {{Graded-Edge Rakotch Contractions in Generalized Metric Spaces with Weighted Graphs}},
author = {Ismat Beg and Muhammad Aslam Javed},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.09996},
eprint = {2611.09996},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.09996},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Graded-Edge Rakotch Contractions in Generalized Metric Spaces with Weighted Graphs
AU - Ismat Beg
AU - Muhammad Aslam Javed
PY - 2026
DA - 2026/11/03
PB - arXiv
DO - 10.48550/arxiv.2611.09996
UR - https://arxiv.org/abs/2611.09996
AB - We introduce the notion of graded-edge Rakotch contraction mappings on a generalized metric space with a weighted graph. We prove that the successive iterate of every starting point converge uniformly to a common limit, which is the unique fixed point. We derive an explicit iteration-complexity bound and, under a relaxed triangle inequality, a geometric rate whose constant is the graph invariant. Finally, we illustrate the theory on an explicit real graded contraction that realizes the interior optimum, on a quadratic integral equation, and on finite weighted digraphs.
ER -