Universality of persistence diagrams and the bottleneck and Wasserstein distances
Peter Bubenik, Alex Elchesen
TL;DR
This work develops a category-theoretic foundation for persistence diagrams by treating them as free commutative monoids on metric pairs $(X,A)$ endowed with $p$-Wasserstein metrics $W_p$. The authors prove a universal property: persistence diagrams with $W_p$ are the universal $p$-subadditive commutative metric monoid generated by $(X,A)$, yielding a maximal, functorial, and stable distance framework that encompasses barcodes and multiparameter persistence. They establish a precise link between metric and monoid structures through $p$-subadditive monoids internal to symmetric monoidal categories, derive a left adjoint $D_p$ to the forgetful functor, and show that $W_p$ is the largest compatible metric extending the base metric. For $p=1$, Kantorovich-Rubinstein duality holds, connecting persistence diagrams to Lipschitz-function duality. Overall, the results provide a robust, universal, and computable approach to distances between persistence diagrams with broad applicability to various persistence models and stability analyses.
Abstract
We prove that persistence diagrams with the p-Wasserstein distance form the universal p-subadditive commutative monoid on an underlying metric space with a distinguished subset. This result applies to persistence diagrams, barcodes, and to multiparameter persistence modules. In addition, the 1-Wasserstein distance satisfies Kantorovich-Rubinstein duality.
