自相似集的广义分形维数和量规及其在相干条件预设评估和菅野积分计算中的应用

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Rim Achour , Serena Doria , Bilel Selmi , Zhiming Li
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引用次数: 0

摘要

本文计算了满足开集条件的自相似集合的广义豪斯多夫量纲和堆积量纲。我们彻底描述了满足开集条件的自相似集合 A 在一定条件下的豪斯多夫规和广义预堆积规的类别。我们推导出了一个更一般的必要条件和充分条件,即一个规函数是集合 A 的 Hausdorff 规、打包规或预打包规。此外,我们还估算了相关的豪斯多夫量规和打包预量规。最后,我们应用这些结果来评估一些自相似集合(如中间第三康托集合、西尔平斯基地毯和西尔平斯基三角形)的广义豪斯多夫量的相干条件规定,并计算相对于勒贝格量的苏格诺积分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generalized fractal dimensions and gauges for self-similar sets and their application in the assessment of coherent conditional previsions and in the calculation of the Sugeno integral
In this paper, we compute the generalized Hausdorff and packing dimensions of self-similar sets that meet the open set condition. We thoroughly characterize the class of Hausdorff gauges and generalized pre-packing gauges for a self-similar set A that satisfies the open set condition under certain criteria. We derive a more general necessary and sufficient condition for a gauge function to be a Hausdorff gauge for a set A, packing gauge, or pre-packing gauge. Additionally, we estimate the associated Hausdorff measures and packing pre-measures. Finally, we apply these results to assess coherent conditional provisions and to calculate the Sugeno integral with respect to the Lebesgue measure, of the generalized Hausdorff measures of some self-similar sets, such as the middle third Cantor set, the Sierpinsky carpet, and the Sierpinsky triangle.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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