Suzuki type $\mathcal{Z}_{c}$-contraction mappings and the fixed-figure problem

IF 0.7 4区 数学 Q2 MATHEMATICS Hacettepe Journal of Mathematics and Statistics Pub Date : 2023-06-04 DOI:10.15672/hujms.1287530
D. Gopal, N. Özgür, Jayesh Savali̇ya, S. K. Srivastava
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引用次数: 0

Abstract

Geometric approaches are important for the study of some real-life problems. In metric fixed point theory, a recent problem called \textquotedblleft \textit{fixed-figure problem}\textquotedblright\ is the investigation of the existence of self-mapping which remain invariant at each points of a certain geometric figure (e.g. a circle, an ellipse and a Cassini curve) in the space. This problem is well studied in the domain of the extension of this line of research in the context of fixed circle, fixed disc, fixed ellipse, fixed Cassini curve and so on. In this paper, we introduce the concept of a Suzuki type $\mathcal{Z}_c$-contraction. We deal with the fixed-figure problem by means of the notions of a $\mathcal{Z}_c$-contraction and a Suzuki type $\mathcal{Z}_c$-contraction. We derive new fixed-figure results for the fixed ellipse and fixed Cassini curve cases by means of these notions. Also fixed disc and fixed circle results given for Suzuki type $\mathcal{Z}_c$-contraction. There are couple of illustration related to the obtained theoretical results.
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Suzuki类型$\mathcal{Z}_{c}$-收缩映射和固定数字问题
几何方法对于研究一些现实问题是很重要的。在度量不动点理论中,最近出现的一个问题\textquotedblleft\textit{不动图问题}\textquotedblright是对空间中某一几何图形(如圆、椭圆和卡西尼曲线)的每一点保持不变的自映射的存在性的研究。这一问题在固定圆、固定圆盘、固定椭圆、固定卡西尼曲线等研究方向的延伸领域得到了很好的研究。本文引入了Suzuki型$\mathcal{Z}_c$ -收缩的概念。我们用$\mathcal{Z}_c$ -收缩和铃木式$\mathcal{Z}_c$ -收缩的概念来处理固定数字问题。利用这些概念,我们得到了固定椭圆和固定卡西尼曲线情况下新的固定图形结果。此外,固定圆盘和固定圆的结果铃木型$\mathcal{Z}_c$ -收缩。对所得到的理论结果进行了说明。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
100
审稿时长
6-12 weeks
期刊介绍: Hacettepe Journal of Mathematics and Statistics covers all aspects of Mathematics and Statistics. Papers on the interface between Mathematics and Statistics are particularly welcome, including applications to Physics, Actuarial Sciences, Finance and Economics. We strongly encourage submissions for Statistics Section including current and important real world examples across a wide range of disciplines. Papers have innovations of statistical methodology are highly welcome. Purely theoretical papers may be considered only if they include popular real world applications.
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