Decomposition of Zero-Dimensional Persistence Modules via Rooted Subsets.

IF 0.7 3区 数学 Q4 COMPUTER SCIENCE, THEORY & METHODS
Discrete & Computational Geometry Pub Date : 2025-01-01 Epub Date: 2024-11-16 DOI:10.1007/s00454-024-00700-7
Ángel Javier Alonso, Michael Kerber
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引用次数: 0

Abstract

We study the decomposition of zero-dimensional persistence modules, viewed as functors valued in the category of vector spaces factorizing through sets. Instead of working directly at the level of vector spaces, we take a step back and first study the decomposition problem at the level of sets. This approach allows us to define the combinatorial notion of rooted subsets. In the case of a filtered metric space M, rooted subsets relate the clustering behavior of the points of M with the decomposition of the associated persistence module. In particular, we can identify intervals in such a decomposition quickly. In addition, rooted subsets can be understood as a generalization of the elder rule, and are also related to the notion of constant conqueror of Cai, Kim, Mémoli and Wang. As an application, we give a lower bound on the number of intervals that we can expect in the decomposition of zero-dimensional persistence modules of a density-Rips filtration in Euclidean space: in the limit, and under very general circumstances, we can expect that at least 25% of the indecomposable summands are interval modules.

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基于根子集的零维持久性模块分解。
研究了零维持久模的分解,将其看作是通过集合分解的向量空间范畴中的函子。我们不是直接在向量空间的层次上研究,而是退一步,首先研究集合层次上的分解问题。这种方法允许我们定义有根子集的组合概念。在过滤度量空间M的情况下,根子集将M的点的聚类行为与相关持久模块的分解联系起来。特别地,我们可以在这样的分解中快速地识别区间。此外,根子集可以理解为对老规则的概括,也与蔡、金、孟、王的不断征服概念有关。作为一个应用,我们给出了在欧几里得空间中密度-撕裂过滤的零维持续模分解中可以期望的区间数的下界:在极限情况下,在非常一般的情况下,我们可以期望至少25%的不可分解和是区间模。
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来源期刊
Discrete & Computational Geometry
Discrete & Computational Geometry 数学-计算机:理论方法
CiteScore
1.80
自引率
12.50%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Discrete & Computational Geometry (DCG) is an international journal of mathematics and computer science, covering a broad range of topics in which geometry plays a fundamental role. It publishes papers on such topics as configurations and arrangements, spatial subdivision, packing, covering, and tiling, geometric complexity, polytopes, point location, geometric probability, geometric range searching, combinatorial and computational topology, probabilistic techniques in computational geometry, geometric graphs, geometry of numbers, and motion planning.
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