On the existence of Monge maps for the Gromov-Wasserstein problem

Fuente: arXiv
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Autores principales: Dumont, Théo, Lacombe, Théo, Vialard, François-Xavier
Formato: Preprint
Publicado: 2022
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author Dumont, Théo
Lacombe, Théo
Vialard, François-Xavier
author_facet Dumont, Théo
Lacombe, Théo
Vialard, François-Xavier
contents The Gromov--Wasserstein problem is a non-convex optimization problem over the polytope of transportation plans between two probability measures supported on two spaces, each equipped with a cost function evaluating similarities between points. Akin to the standard optimal transportation problem, it is natural to ask for conditions guaranteeing some structure on the optimizers, for instance if these are induced by a (Monge) map. We study this question in Euclidean spaces when the cost functions are either given by (i) inner products or (ii) squared distances, two standard choices in the literature. We establish the existence of an optimal map in case (i) and of an optimal 2-map (the union of the graphs of two maps) in case (ii), both under an absolute continuity condition on the source measure. Additionally, in case (ii) and in dimension one, we numerically design situations where optimizers of the Gromov--Wasserstein problem are 2-maps but are not maps. This suggests that our result cannot be improved in general for this cost. Still in dimension one, we additionally establish the optimality of monotone maps under some conditions on the measures, thereby giving insight on why such maps often appear to be optimal in numerical experiments.
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id arxiv_https___arxiv_org_abs_2210_11945
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle On the existence of Monge maps for the Gromov-Wasserstein problem
Dumont, Théo
Lacombe, Théo
Vialard, François-Xavier
Optimization and Control
The Gromov--Wasserstein problem is a non-convex optimization problem over the polytope of transportation plans between two probability measures supported on two spaces, each equipped with a cost function evaluating similarities between points. Akin to the standard optimal transportation problem, it is natural to ask for conditions guaranteeing some structure on the optimizers, for instance if these are induced by a (Monge) map. We study this question in Euclidean spaces when the cost functions are either given by (i) inner products or (ii) squared distances, two standard choices in the literature. We establish the existence of an optimal map in case (i) and of an optimal 2-map (the union of the graphs of two maps) in case (ii), both under an absolute continuity condition on the source measure. Additionally, in case (ii) and in dimension one, we numerically design situations where optimizers of the Gromov--Wasserstein problem are 2-maps but are not maps. This suggests that our result cannot be improved in general for this cost. Still in dimension one, we additionally establish the optimality of monotone maps under some conditions on the measures, thereby giving insight on why such maps often appear to be optimal in numerical experiments.
title On the existence of Monge maps for the Gromov-Wasserstein problem
topic Optimization and Control
url https://arxiv.org/abs/2210.11945