Nicolas Bousquet, Laurent Feuilloley, Théo Pierron
{"title":"How local constraints influence network diameter and applications to LCL generalizations","authors":"Nicolas Bousquet, Laurent Feuilloley, Théo Pierron","doi":"arxiv-2409.01305","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate how local rules enforced at every node can\ninfluence the topology of a network. More precisely, we establish several\nresults on the diameter of trees as a function of the number of nodes, as\nlisted below. These results have important consequences on the landscape of\nlocally checkable labelings (LCL) on \\emph{unbounded} degree graphs, a case in\nwhich our lack of knowledge is in striking contrast with that of \\emph{bounded\ndegree graphs}, that has been intensively studied recently. [See paper for full\nabstract.]","PeriodicalId":501422,"journal":{"name":"arXiv - CS - Distributed, Parallel, and Cluster Computing","volume":"45 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Distributed, Parallel, and Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.01305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we investigate how local rules enforced at every node can
influence the topology of a network. More precisely, we establish several
results on the diameter of trees as a function of the number of nodes, as
listed below. These results have important consequences on the landscape of
locally checkable labelings (LCL) on \emph{unbounded} degree graphs, a case in
which our lack of knowledge is in striking contrast with that of \emph{bounded
degree graphs}, that has been intensively studied recently. [See paper for full
abstract.]