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arXiv · 2507.10732

$\epsilon$-Distance via L\'evy-Prokhorov Lifting

Josée Desharnais·Ana Sokolova
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Abstract

The most studied and accepted pseudometric for probabilistic processes is one based on the Kantorovich distance between distributions. It comes with many theoretical and motivating results, in particular it is the fixpoint of a given functional and defines a functor on (complete) pseudometric spaces. Other notions of behavioural pseudometrics have also been proposed, one of them ($\epsilon$-distance) based on $\epsilon$-bisimulation. $\epsilon$-Distance has the advantages that it is intuitively easy to understand, it relates systems that are conceptually close (for example, an imperfect implementation is close to its specification), and it comes equipped with a natural notion of $\epsilon$-coupling. Finally, this distance is easy to compute. We show that $\epsilon$-distance is also the greatest fixpoint of a functional and provides a functor. The latter is obtained by replacing the Kantorovich distance in the lifting functor with the L\'evy-Prokhorov distance. In addition, we show that $\epsilon$-couplings and $\epsilon$-bisimulations have an appealing coalgebraic characterization.

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Josée Desharnais, Ana Sokolova. 2025-07-14. $\epsilon$-Distance via L\'evy-Prokhorov Lifting. https://arxiv.org/abs/2507.10732

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