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Characterization of the computed homology and cohomology bases -- technical report

Published: September 11, 2025 | arXiv ID: 2509.09350v1

By: Yann-Situ Gazull, Aldo Gonzalez-Lorenzo, Alexandra Bac

Potential Business Impact:

Finds hidden shapes in data.

Business Areas:
Bioinformatics Biotechnology, Data and Analytics, Science and Engineering

Computing homology and cohomology is at the heart of many recent works and a key issue for topological data analysis. Among homological objects, homology generators are useful to locate or understand holes (especially for geometric objects). The present paper provides a characterization of the class of homology bases that are computed by standard algorithmic methods. The proof of this characterization relies on the Homological Discrete Vector Field, a combinatorial structure for computing homology, which encompasses several standard methods (persistent homology, tri-partitions, Smith Normal Form, discrete Morse theory). These results refine the combinatorial homology theory and provide novel ideas to gain more control over the computation of homology generators.

Country of Origin
🇫🇷 France

Page Count
22 pages

Category
Mathematics:
Algebraic Topology