A minimising principle for interval covers of zigzag persistence modules

Zigzag persistence modules serve as an essential tool in topological data analysis. The fundamental theorem of persistent homology states that any zigzag persistence module decomposes into a direct sum of simple building blocks called interval modules. We consider an interval cover, a possibly redundant family of interval submodules spanning every vertex space of a finite zigzag persistence module. We give an elementary descent argument that replaces a redundant cover with a minimal one that is an interval decomposition. This provides an optimisation perspective on persistence modules and their interval decomposition. As an application, we give an estimate of the generalised rank invariant in terms of a cover.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-27
DOI
https://doi.org/10.48550/arxiv.2610.36843
Primary Topic
Topological and Geometric Data Analysis
Type
preprint
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preprint

A minimising principle for interval covers of zigzag persistence modules

Junyan Chu, Meiyan Kang, Shizuo Kaji
arXiv (Cornell University)
Topological and Geometric Data Analysis
preprint

A minimising principle for interval covers of zigzag persistence modules

Junyan Chu, Meiyan Kang, Shizuo Kaji
preprint en

Abstract

Zigzag persistence modules serve as an essential tool in topological data analysis. The fundamental theorem of persistent homology states that any zigzag persistence module decomposes into a direct sum of simple building blocks called interval modules. We consider an interval cover, a possibly redundant family of interval submodules spanning every vertex space of a finite zigzag persistence module. We give an elementary descent argument that replaces a redundant cover with a minimal one that is an interval decomposition. This provides an optimisation perspective on persistence modules and their interval decomposition. As an application, we give an estimate of the generalised rank invariant in terms of a cover.

arXiv (Cornell University)
Topological and Geometric Data Analysis
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