On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs

Fuente: arXiv
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Main Authors: Robertson, Sawyer, Kohli, Dhruv, Mishne, Gal, Cloninger, Alexander
Format: Preprint
Published: 2023
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author Robertson, Sawyer
Kohli, Dhruv
Mishne, Gal
Cloninger, Alexander
author_facet Robertson, Sawyer
Kohli, Dhruv
Mishne, Gal
Cloninger, Alexander
contents We propose a model of optimal parallel transport between vector fields on a connection graph, which consists of a weighted graph along with a map from its edges to an orthogonal group. Inspired by the well-known equivalence of 1-Wasserstein distance and minimum cost flows on standard graphs, we consider two versions of this problem: a minimum norm vector-valued flow problem with divergence constraints reflective of the connection structure of the graph; and a modified version which incorporates both quadratic regularization and a relaxation of the divergence constraint. Our theoretical contributions include: conditions for feasibility and computation of the Lagrangian dual problem for both problems, and duality correspondence for the relaxed-regularized version. Example applications of the model including transport between color images, vector field interpolation, and unsupervised clustering of vector field-valued data (in this case hurricane trajectory data) are also considered.
format Preprint
id arxiv_https___arxiv_org_abs_2312_10295
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs
Robertson, Sawyer
Kohli, Dhruv
Mishne, Gal
Cloninger, Alexander
Optimization and Control
Discrete Mathematics
65K10, 05C21, 90C25, 68R10, 05C50
We propose a model of optimal parallel transport between vector fields on a connection graph, which consists of a weighted graph along with a map from its edges to an orthogonal group. Inspired by the well-known equivalence of 1-Wasserstein distance and minimum cost flows on standard graphs, we consider two versions of this problem: a minimum norm vector-valued flow problem with divergence constraints reflective of the connection structure of the graph; and a modified version which incorporates both quadratic regularization and a relaxation of the divergence constraint. Our theoretical contributions include: conditions for feasibility and computation of the Lagrangian dual problem for both problems, and duality correspondence for the relaxed-regularized version. Example applications of the model including transport between color images, vector field interpolation, and unsupervised clustering of vector field-valued data (in this case hurricane trajectory data) are also considered.
title On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs
topic Optimization and Control
Discrete Mathematics
65K10, 05C21, 90C25, 68R10, 05C50
url https://arxiv.org/abs/2312.10295