Abstract:Motivated both by theoretical and practical considerations in topological data analysis, we generalize the p-Wasserstein distance on barcodes to multiparameter persistence modules. For each p ∈ [1, ∞], we in fact introduce two such generalizations d p I and d p M , such that d ∞ I equals the interleaving distance and d ∞ M equals the matching distance. We show that d p M ≤ d p I for all p ∈ [1, ∞], extending an observation of Landi in the p = ∞ case. We observe that the distances d p M can be efficiently appro… Show more
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