Papers › Projected distances for multi-parameter persistence modules

Projected distances for multi-parameter persistence modules

17 Jun 2022arXiv:2206.08818links table onlyarchive 2025-07-28

Nicolas Berkouk, Francois Petit

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Relying on sheaf theory, we introduce the notions of projected barcodes and projected distances for multi-parameter persistence modules. Projected barcodes are defined as derived pushforward of persistence modules onto ℝ. Projected distances come in two flavors: the integral sheaf metrics (ISM) and the sliced convolution distances (SCD). We conduct a systematic study of the stability of projected barcodes and show that the fibered barcode is a particular instance of projected barcodes. We prove that the ISM and the SCD provide lower bounds for the convolution distance. Furthermore, we show that the γ-linear ISM and the γ-linear SCD which are projected distances tailored for γ-sheaves can be computed using TDA software dedicated to one-parameter persistence modules. Moreover, the time and memory complexity required to compute these two metrics are advantageous since our approach does not require computing nor storing an entire n-persistence module.

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davidlapous/multipers mentioned on GitHubpytorchGPL-3.0 report

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