Uniform Wasserstein convergence of penalized Markov processes - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2023

Uniform Wasserstein convergence of penalized Markov processes

Résumé

For general penalized Markov processes with soft killing, we propose a simple criterion ensuring uniform convergence of conditional distributions in Wasserstein distance to a unique quasi-stationary distribution. We give several examples of application where our criterion can be checked, including Bernoulli convolutions and piecewise deterministic Markov processes of the form of switched dynamical systems, for which convergence in total variation is not possible.

Dates et versions

hal-04145204 , version 1 (29-06-2023)

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Nicolas Champagnat, Edouard Strickler, Denis Villemonais. Uniform Wasserstein convergence of penalized Markov processes. 2023. ⟨hal-04145204⟩
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