Optimal transport of measures via autonomous vector fields

Fuente: arXiv
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Hauptverfasser: De Nitti, Nicola, Fernández-Real, Xavier
Format: Preprint
Veröffentlicht: 2024
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author De Nitti, Nicola
Fernández-Real, Xavier
author_facet De Nitti, Nicola
Fernández-Real, Xavier
contents We study the problem of transporting one probability measure to another via an autonomous velocity field. We rely on tools from the theory of optimal transport. In one space-dimension, we solve a linear homogeneous functional equation to construct a suitable autonomous vector field that realizes the (unique) monotone transport map as the time-$1$ map of its flow. Generically, this vector field can be chosen to be Lipschitz continuous. We then use Sudakov's disintegration approach to deal with the multi-dimensional case by reducing it to a family of one-dimensional problems.
format Preprint
id arxiv_https___arxiv_org_abs_2405_06503
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimal transport of measures via autonomous vector fields
De Nitti, Nicola
Fernández-Real, Xavier
Optimization and Control
Analysis of PDEs
Classical Analysis and ODEs
49Q22, 93B05, 28A50
We study the problem of transporting one probability measure to another via an autonomous velocity field. We rely on tools from the theory of optimal transport. In one space-dimension, we solve a linear homogeneous functional equation to construct a suitable autonomous vector field that realizes the (unique) monotone transport map as the time-$1$ map of its flow. Generically, this vector field can be chosen to be Lipschitz continuous. We then use Sudakov's disintegration approach to deal with the multi-dimensional case by reducing it to a family of one-dimensional problems.
title Optimal transport of measures via autonomous vector fields
topic Optimization and Control
Analysis of PDEs
Classical Analysis and ODEs
49Q22, 93B05, 28A50
url https://arxiv.org/abs/2405.06503