Generalized Persistence Diagrams for Persistence Modules over Posets
Not on the map. Why?
Abstract (arXiv)
When a category C satisfies certain conditions, we define the notion of rank invariant for arbitrary poset-indexed functors F:P rightarrow C from a category theory perspective. This generalizes the standard notion of rank invariant as well as Patel's recent extension. Specifically, the barcode of any interval decomposable persistence modules F:P rightarrow vec of finite dimensional vector spaces can be extracted from the rank invariant by the principle of inclusion-exclusion. Generalizing this idea allows freedom of choosing the indexing poset P of F: P rightarrow C in defining Patel's generalized persistence diagram of F. Of particular importance is the fact that the generalized persistence diagram of F is defined regardless of whether F is interval decomposable or not. By specializing our idea to zigzag persistence modules, we also show that the barcode of a Reeb graph can be obtained in a purely set-theoretic setting without passing to the category of vector spaces. This leads to a promotion of Patel's semicontinuity theorem about type A persistence diagram to Lipschitz continuity theorem for the category of sets.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Oct 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 4; 2024: 1; 2025: 1.
6 papers.
- 2023Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measurescited by 15
- 2023GRIL: A 2-parameter Persistence Based Vectorization for Machine Learningcited by 13
- 2023A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositionscited by 7
- 2024D-GRIL: End-to-End Topological Learning with 2-parameter Persistencecited by 5
- 2023Stability for Inference with Persistent Homology Rank Functionscited by 1
- 2025Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Datacited by 1
- 2025Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data22 Feb 2025
- 2024D-GRIL: End-to-End Topological Learning with 2-parameter Persistence11 Jun 2024
- 2023Stability for Inference with Persistent Homology Rank Functions6 Jul 2023
- 2023A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions19 Jun 2023
- 2023Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures6 Jun 2023
- 2023GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning11 Apr 2023