Stabilizing Decomposition of Multiparameter Persistence Modules
Abstract While decomposition of one-parameter persistence modules behaves nicely, as demonstrated by the algebraic stability theorem, decomposition of multiparameter modules is known to be unstable in a certain precise sense. Until now, it has not been clear that there is any way to get around this and build a meaningful stability theory for multiparameter module decomposition. We introduce new tools, in particular $$\epsilon $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ϵ</mml:mi> </mml:math> -refinements and $$\epsilon $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ϵ</mml:mi> </mml:math> -erosion neighborhoods, to start building such a theory. We then define the $$\epsilon $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ϵ</mml:mi> </mml:math> -pruning of a module, which is a new invariant acting like a “refined barcode” that shows great promise to extract features from a module by approximately decomposing it. Our main theorem can be interpreted as a generalization of the algebraic stability theorem to multiparameter modules up to a factor of 2 r , where r is the maximal pointwise dimension of one of the modules. Furthermore, we show that the factor 2 r is close to optimal. Finally, we discuss the possibility of strengthening the stability theorem for modules that decompose into pointwise low-dimensional summands, and pose a conjecture phrased purely in terms of basic linear algebra and graph theory that seems to capture the difficulty of doing this. We also show that this conjecture is relevant for other areas of multipersistence, like the computational complexity of approximating the interleaving distance, and recent applications of relative homological algebra to multipersistence.
Authors
- Håvard Bakke Bjerkevik (ORCID: https://orcid.org/0000-0001-9778-0354)
Institutions
- University at Albany, State University of New York (US)
- Technical University of Munich (DE)
Publication Details
- Journal
- Foundations of Computational Mathematics
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1007/s10208-025-09695-w
- Citations
- 2
- Primary Topic
- Topological and Geometric Data Analysis
- Type
- article
- Field-Weighted Citation Impact
- 3.01
Funders
- Deutsche Forschungsgemeinschaft
- Technische Universität München