Algebraic Stability of Zigzag Persistence Modules
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Abstract (arXiv)
The stability theorem for persistent homology is a central result in topological data analysis. While the original formulation of the result concerns the persistence barcodes of ℝ-valued functions, the result was later cast in a more general algebraic form, in the language of persistence modules and interleavings. In this paper, we establish an analogue of this algebraic stability theorem for zigzag persistence modules. To do so, we functorially extend each zigzag persistence module to a two-dimensional persistence module, and establish an algebraic stability theorem for these extensions. One part of our argument yields a stability result for free two-dimensional persistence modules. As an application of our main theorem, we strengthen a result of Bauer et al. on the stability of the persistent homology of Reeb graphs. Our main result also yields an alternative proof of the stability theorem for level set persistent homology of Carlsson et al.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Apr 2016.
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Citing papers per year: 2022: 2; 2023: 2; 2024: 0; 2025: 1; 2026: 2.
7 papers.
- 2022Approximating Persistent Homology for Large Datasetscited by 8
- 2023A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositionscited by 6
- 2022Kan Extensions in Data Science and Machine Learningcited by 3
- 2025Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Datacited by 1
- 2026TopoFormer: Topology Meets Attention for Graph Learningcited by 1
- 2023Algebraic and Geometric Models for Space Networkingcited by 0
- 2026A differentiability framework for zigzag persistent homology via linear interpolationcited by 0
- 2026A differentiability framework for zigzag persistent homology via linear interpolation30 Sep 2026
- 2026TopoFormer: Topology Meets Attention for Graph Learning30 Jul 2026
- 2025Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data22 Feb 2025
- 2023A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions19 Jun 2023
- 2023Algebraic and Geometric Models for Space Networking3 Apr 2023
- 2022Approximating Persistent Homology for Large Datasets19 Apr 2022
- 2022Kan Extensions in Data Science and Machine Learning17 Mar 2022