Fast computation of persistent homology representatives with involuted persistent homology

IF 1.7 Q2 MATHEMATICS, APPLIED Foundations of data science (Springfield, Mo.) Pub Date : 2021-05-08 DOI:10.3934/fods.2023006
Matija vCufar, Žiga Virk
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引用次数: 8

Abstract

Persistent homology is typically computed through persistent cohomology. While this generally improves the running time significantly, it does not facilitate extraction of homology representatives. The mentioned representatives are geometric manifestations of the corresponding holes and often carry desirable information. We propose a new method of extraction of persistent homology representatives using cohomology. In a nutshell, we first compute persistent cohomology and use the obtained information to significantly improve the running time of the direct persistent homology computations. This algorithm applied to Rips filtrations generally computes persistent homology representatives much faster than the standard methods.
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具有对折持久同调的持久同调表示的快速计算
持久同调通常通过持久上同调来计算。虽然这通常会显著改善运行时间,但它不利于提取同源表示。所述代表物是相应孔的几何表现形式,并且通常携带所需的信息。提出了一种利用上同调提取持久同调代表的新方法。简而言之,我们首先计算持久上同调,并使用获得的信息来显著提高直接持久同调计算的运行时间。该算法应用于rip过滤,通常比标准方法更快地计算持久同源表示。
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3.30
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