Analyzing multifiltering functions using multiparameter Discrete Morse Theory

IF 0.8 4区 数学 Q2 MATHEMATICS
Guillaume Brouillette
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引用次数: 0

Abstract

A multiparameter filtration, or a multifiltration, may in many cases be seen as the collection of sublevel sets of a vector function, which we call a multifiltering function. The main objective of this paper is to obtain a better understanding of such functions through multiparameter discrete Morse (mdm) theory, which is an extension of Morse-Forman theory to vector-valued functions. Notably, we prove algorithmically that any multifiltering function defined on a simplicial complex can always be approximated by a compatible mdm function. Moreover, we define the Pareto set of a discrete multifiltering function and show that the concept links directly to that of critical simplices of a mdm function. Finally, we experiment with these notions using triangular meshes.
用多参数离散莫尔斯理论分析多滤波函数
在许多情况下,多参数过滤或多过滤可以看作是一个向量函数的子层次集的集合,我们称之为多过滤函数。本文的主要目的是通过多参数离散莫尔斯(mdm)理论来更好地理解这些函数,这是莫尔斯-福尔曼理论在向量值函数中的推广。值得注意的是,我们从算法上证明了定义在简单复合体上的任何多过滤函数都可以用兼容的mdm函数来近似。此外,我们定义了离散多滤波函数的Pareto集,并证明了该概念与mdm函数的临界简单性的概念直接相关。最后,我们使用三角形网格对这些概念进行实验。
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来源期刊
CiteScore
1.00
自引率
0.00%
发文量
57
审稿时长
>12 weeks
期刊介绍: Topological Methods in Nonlinear Analysis (TMNA) publishes research and survey papers on a wide range of nonlinear analysis, giving preference to those that employ topological methods. Papers in topology that are of interest in the treatment of nonlinear problems may also be included.
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