A semidefinite programming hierarchy for covering problems in discrete geometry

Fuente: arXiv
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Main Authors: Riener, Cordian, Rolfes, Jan, Vallentin, Frank
Format: Preprint
Published: 2023
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author Riener, Cordian
Rolfes, Jan
Vallentin, Frank
author_facet Riener, Cordian
Rolfes, Jan
Vallentin, Frank
contents In this paper we present a new semidefinite programming hierarchy for covering problems in compact metric spaces. Over the last years, these kind of hierarchies were developed primarily for geometric packing and for energy minimization problems; they frequently provide the best known bounds. Starting from a semidefinite programming hierarchy for the dominating set problem in graph theory, we derive the new hierarchy for covering and show some of its basic properties: The hierarchy converges in finitely many steps, but the first level collapses to the volume bound when the compact metric space is homogeneous.
format Preprint
id arxiv_https___arxiv_org_abs_2312_11267
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A semidefinite programming hierarchy for covering problems in discrete geometry
Riener, Cordian
Rolfes, Jan
Vallentin, Frank
Optimization and Control
Metric Geometry
90C22, 90C34, 90C48
In this paper we present a new semidefinite programming hierarchy for covering problems in compact metric spaces. Over the last years, these kind of hierarchies were developed primarily for geometric packing and for energy minimization problems; they frequently provide the best known bounds. Starting from a semidefinite programming hierarchy for the dominating set problem in graph theory, we derive the new hierarchy for covering and show some of its basic properties: The hierarchy converges in finitely many steps, but the first level collapses to the volume bound when the compact metric space is homogeneous.
title A semidefinite programming hierarchy for covering problems in discrete geometry
topic Optimization and Control
Metric Geometry
90C22, 90C34, 90C48
url https://arxiv.org/abs/2312.11267