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Orientation does not help with 3-coloring a grid in online-LOCAL

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Abstract

The online-LOCAL and SLOCAL models are extensions of the LOCAL model where nodes are processed in a sequential but potentially adversarial order. So far, the only problem we know of where the global memory of the online-LOCAL model has an advantage over SLOCAL is 3-coloring bipartite graphs. Recently, Chang et al. [PODC 2024] showed that even in grids, 3-coloring requires Ω(log n) locality in deterministic online-LOCAL. This result was subsequently extended by Akbari et al. [STOC 2025] to also hold in randomized online-LOCAL. However, both proofs heavily rely on the assumption that the algorithm does not have access to the orientation of the underlying grid. In this paper, we show how to lift this requirement and obtain the same lower bound (against either model) even when the algorithm is explicitly given a globally consistent orientation of the grid.

Original languageEnglish
Title of host publication29th International Conference on Principles of Distributed Systems (OPODIS 2025)
EditorsAndrei Arusoaie, Emanuel Onica, Michael Spear, Sara Tucci-Piergiovanni
PublisherSchloss Dagstuhl - Leibniz-Zentrum für Informatik
Pages1-16
Number of pages16
ISBN (Electronic)978-3-95977-409-3
DOIs
Publication statusPublished - 7 Jan 2026
MoE publication typeA4 Conference publication
EventInternational Conference on Principles of Distributed Systems - Iaşi, Romania
Duration: 3 Dec 20255 Dec 2025
Conference number: 29

Publication series

NameLeibniz International Proceedings in Informatics (LIPIcs)
PublisherSchloss Dagstuhl – Leibniz-Zentrum für Informatik
Volume361
ISSN (Electronic)1868-8969

Conference

ConferenceInternational Conference on Principles of Distributed Systems
Abbreviated titleOPODIS
Country/TerritoryRomania
CityIaşi
Period03/12/202505/12/2025

Funding

This work was supported in part by the Research Council of Finland, Grants 359104 and 363558, as well as the Quantum Doctoral Education Pilot, the Ministry of Education and Culture, decision VN/3137/2024-OKM-4.

Keywords

  • locally checkable labeling problems
  • coloring
  • online algorithms

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