收缩多变量拉链分形插值函数

IF 1.1 3区 数学 Q1 MATHEMATICS Results in Mathematics Pub Date : 2024-05-04 DOI:10.1007/s00025-024-02177-5
Radu Miculescu, R. Pasupathi
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引用次数: 0

摘要

在本文中,我们利用拉链方法的元素,介绍了一种新的通用多元分形插值方案。在假设相应的 Read-Bajraktarevic 算子定义明确的前提下,我们扩展了之前文献中出现的框架,认为迭代函数系统的构成函数(其吸引子是插值器的图形)在最后一个变量中只是收缩的(因此,它们在最后一个变量中可以是 Banach 收缩、Matkowski 收缩或 Meir-Keeler 收缩)。在这个多变量框架中,需要克服的主要困难是上述算子的定义。我们提供了三个可以保证这一点的实例。我们还展示了一些例子,以强调我们方案的通用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Contractive Multivariate Zipper Fractal Interpolation Functions

In this paper we introduce a new general multivariate fractal interpolation scheme using elements of the zipper methodology. Under the assumption that the corresponding Read-Bajraktarevic operator is well-defined, we enlarge the previous frameworks occurring in the literature, considering the constitutive functions of the iterated function system whose attractor is the graph of the interpolant to be just contractive in the last variable (so, in particular, they can be Banach contractions, Matkowski contractions, or Meir-Keeler contractions in the last variable). The main difficulty that should be overcome in this multivariate framework is the well definedness of the above mentioned operator. We provide three instances when it is guaranteed. We also display some examples that emphasize the generality of our scheme.

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来源期刊
Results in Mathematics
Results in Mathematics 数学-数学
CiteScore
1.90
自引率
4.50%
发文量
198
审稿时长
6-12 weeks
期刊介绍: Results in Mathematics (RM) publishes mainly research papers in all fields of pure and applied mathematics. In addition, it publishes summaries of any mathematical field and surveys of any mathematical subject provided they are designed to advance some recent mathematical development.
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