关于周界收缩的最佳近似点结果
Best Proximity Point Results for Perimetric Contractions
AI总结:
本文提出周界近似收缩的概念,并推导了其最佳近似点的存在性和唯一性结果。
摘要:
本文有两个目标,第一个是介绍一种特殊的近似收缩,保证有限数量的最佳近似点;第二个是推导周界收缩的最佳近似点结果。为了实现这两个目标,我们引入了两种新的近似收缩:第一类和第二类周界近似收缩,并为这些映射推导出最佳近似点结果。我们证明,对于这些特定的映射,最佳近似点不一定是唯一的;然而,我们提供了一个上界,证明最多存在两个这样的点。为了验证我们的结果,我们提供了示例,说明这些新定义的映射可以具有唯一或恰好两个最佳近似点。
英文摘要:
This paper has two aims, first one is to introduce special kind of proximal contractions guaranteeing a finite number of best proximity points, and second one is to derive best proximity point results for perimetric contractions. To meet these two aims, we introduce two new proximal contractions: perimetric proximal contractions of the first and the second kind, and derive best proximity point results for these mappings. We establish that for these particular mappings, best proximity points are not necessarily unique; however, we provide an upper bound, proving that at most two such points can exist. To establish the validity of our results, we provide illustrative examples demonstrating that these newly defined mappings can possess unique or exactly two best proximity points.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。