m -度量空间中不连续映射的公共不动点定理及数值逼近

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
Kapil Yadav, Deepak Kumar
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引用次数: 0

摘要

广义度量空间作为传统度量空间的有效扩展,为广义不动点结果提供了新的见解。在本文中,我们提出了一种在m -度量空间框架内以收缩映射为特征的不动点结果的新方法。这些巴拿赫收缩映射的连续性条件在这种结构中并不重要,就像在通常的度量空间中一样。我们确定了在度量空间中传统的收缩映射不成立的情况。但是它们在m -度量空间中的扩展版本建立了期望的结果。此外,我们图解地研究了度量空间和m -度量空间中的收缩映射的行为,以突出m -度量空间的区别和重要性。进一步给出了不完备空间中自映射对存在公共不动点的一些结果。此外,我们还讨论了三个自映射(不一定连续)的公共不动点的存在性,这是对Petrov(2023)的工作的推广。为了支持我们的发现,讨论了各种例子,并给出了一些用图逼近公共不动点的数值迭代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Common fixed point theorems for discontinuous mappings in M-metric space and numerical approximations
Generalized metric spaces have emerged as efficient extensions to the traditional metric space and provided novel insights into the generalized fixed point results. In this manuscript, we present a novel approach for fixed point results within the framework of M-metric space, characterized by the contraction mappings. The condition of continuity of these Banach contraction mappings is not essential in this structure, as it is in the usual metric space. We identify the scenarios in which traditional contraction mappings in metric space do not hold. But their extended versions within M-metric space establish the desired results. Additionally, we study the behavior of contraction mappings graphically in both metric space and M-metric space to highlight the difference and importance of M-metric space. Further, some results on the existence of common fixed points for pairs of self-mappings in incomplete space are established. Also, we discuss the result on the existence of a common fixed point for three self-mappings (not necessarily continuous), which is an extension of the work of Petrov (2023). To support our findings, various examples are discussed and some numerical iterations with the graphs for approximating the common fixed point are presented.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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