Linearly Ordered Colourings of Hypergraphs

Author:

Nakajima Tamio-Vesa1ORCID,Živný Stanislav1ORCID

Affiliation:

1. Department of Computer Science, University of Oxford, Oxford, UK

Abstract

A linearly ordered (LO) k -colouring of an r -uniform hypergraph assigns an integer from {1, ... , k } to every vertex so that, in every edge, the (multi)set of colours has a unique maximum. Equivalently, for r = 3, if two vertices in an edge are assigned the same colour, then the third vertex is assigned a larger colour (as opposed to a different colour, as in classic non-monochromatic colouring). Barto, Battistelli, and Berg [STACS’21] studied LO colourings on 3-uniform hypergraphs in the context of promise constraint satisfaction problems (PCSPs). We show two results. First, given a 3-uniform hypergraph that admits an LO 2-colouring, one can find in polynomial time an LO k -colouring with \( k=O(\sqrt [3]{n \log \log n / \log n} \) . Second, given an r -uniform hypergraph that admits an LO 2-colouring, we establish NP -hardness of finding an LO k -colouring for every constant uniformity rk +2. In fact, we determine relationships between polymorphism minions for all uniformities r ≥ 3, which reveals a key difference between r < k +2 and rk +2 and which may be of independent interest. Using the algebraic approach to PCSPs, we actually show a more general result establishing NP -hardness of finding an LO k -colouring for LO ℓ-colourable r -uniform hypergraphs for 2 ≤ ℓ ≤ k and rk - ℓ + 4.

Funder

European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme

UKRI

Clarendon Fund Scholarship

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Theory and Mathematics,Theoretical Computer Science

Reference41 articles.

1. Per Austrin Amey Bhangale and Aditya Potukuchi. 2019. Simplified inpproximability of hypergraph coloring via \(t\) -agreeing families. arXiv:1904.01163. Retrieved from https://arxiv.org/abs/1904.01163.

2. Per Austrin, Amey Bhangale, and Aditya Potukuchi. 2020. Improved inapproximability of rainbow coloring. In Proceedings of the 31st Annual ACM-SIAM Symposium on Discrete Algorithms (SODA’20). 1479–1495. DOI:10.1137/1.9781611975994.90

3. $(2+\varepsilon)$-Sat Is NP-hard

4. Libor Barto, Diego Battistelli, and Kevin M. Berg. 2021. Symmetric promise constraint satisfaction problems: Beyond the boolean case. In Proceedings of the 38th International Symposium on Theoretical Aspects of Computer Science (STACS’21), LIPIcs Vol. 187. 10:1–10:16. DOI:10.4230/LIPIcs.STACS.2021.10

5. Algebraic Approach to Promise Constraint Satisfaction

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