Denseness of biadapted Monge mappings

Fuente: arXiv
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Auteurs principaux: Beiglböck, Mathias, Pammer, Gudmund, Schrott, Stefan
Format: Preprint
Publié: 2022
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author Beiglböck, Mathias
Pammer, Gudmund
Schrott, Stefan
author_facet Beiglböck, Mathias
Pammer, Gudmund
Schrott, Stefan
contents Adapted or causal transport theory aims to extend classical optimal transport from probability measures to stochastic processes. On a technical level, the novelty is to restrict to couplings which are bicausal, i.e. satisfy a property which reflects the temporal evolution of information in stochastic processes. We show that in the case of absolutely continuous marginals, the set of bicausal couplings is obtained precisely as the closure of the set of (bi-) adapted processes. That is, we obtain an analogue of the classical result on denseness of Monge couplings in the set of Kantorovich transport plans: bicausal transport plans represent the relaxation of adapted mappings in the same manner as Kantorovich transport plans are the appropriate relaxation of Monge-maps.
format Preprint
id arxiv_https___arxiv_org_abs_2210_15554
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Denseness of biadapted Monge mappings
Beiglböck, Mathias
Pammer, Gudmund
Schrott, Stefan
Probability
Adapted or causal transport theory aims to extend classical optimal transport from probability measures to stochastic processes. On a technical level, the novelty is to restrict to couplings which are bicausal, i.e. satisfy a property which reflects the temporal evolution of information in stochastic processes. We show that in the case of absolutely continuous marginals, the set of bicausal couplings is obtained precisely as the closure of the set of (bi-) adapted processes. That is, we obtain an analogue of the classical result on denseness of Monge couplings in the set of Kantorovich transport plans: bicausal transport plans represent the relaxation of adapted mappings in the same manner as Kantorovich transport plans are the appropriate relaxation of Monge-maps.
title Denseness of biadapted Monge mappings
topic Probability
url https://arxiv.org/abs/2210.15554