Optimal quantization with branched optimal transport distances

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Hauptverfasser: Pegon, Paul, Petrache, Mircea
Format: Preprint
Veröffentlicht: 2023
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author Pegon, Paul
Petrache, Mircea
author_facet Pegon, Paul
Petrache, Mircea
contents We consider the problem of optimal approximation of a target measure by an atomic measure with $N$ atoms, in branched optimal transport distance. This is a new branched transport version of optimal quantization problems. New difficulties arise, since in classical semi-discrete optimal transport with Wasserstein distance, the interfaces between cells associated with neighboring atoms have Voronoi structure and satisfy an explicit description. This description is missing for our problem, in which the cell interfaces are thought to have fractal boundary. We study the asymptotic behaviour of optimal quantizers for absolutely continuous measures as the number $N$ of atoms grows to infinity. We compute the limit distribution of the corresponding point clouds and show in particular a branched transport version of Zador's theorem. Moreover, we establish uniformity bounds of optimal quantizers in terms of separation distance and covering radius of the atoms, when the measure is $d$-Ahlfors regular. A crucial technical tool is the uniform in $N$ Hölder regularity of the landscape function, a branched transport analog to Kantorovich potentials in classical optimal transport.
format Preprint
id arxiv_https___arxiv_org_abs_2309_08677
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Optimal quantization with branched optimal transport distances
Pegon, Paul
Petrache, Mircea
Optimization and Control
Analysis of PDEs
Functional Analysis
Primary: 49Q22, 94A20, Secondary: 49J45, 49Q10, 52C17, 94A17
We consider the problem of optimal approximation of a target measure by an atomic measure with $N$ atoms, in branched optimal transport distance. This is a new branched transport version of optimal quantization problems. New difficulties arise, since in classical semi-discrete optimal transport with Wasserstein distance, the interfaces between cells associated with neighboring atoms have Voronoi structure and satisfy an explicit description. This description is missing for our problem, in which the cell interfaces are thought to have fractal boundary. We study the asymptotic behaviour of optimal quantizers for absolutely continuous measures as the number $N$ of atoms grows to infinity. We compute the limit distribution of the corresponding point clouds and show in particular a branched transport version of Zador's theorem. Moreover, we establish uniformity bounds of optimal quantizers in terms of separation distance and covering radius of the atoms, when the measure is $d$-Ahlfors regular. A crucial technical tool is the uniform in $N$ Hölder regularity of the landscape function, a branched transport analog to Kantorovich potentials in classical optimal transport.
title Optimal quantization with branched optimal transport distances
topic Optimization and Control
Analysis of PDEs
Functional Analysis
Primary: 49Q22, 94A20, Secondary: 49J45, 49Q10, 52C17, 94A17
url https://arxiv.org/abs/2309.08677