Sparsification Lower Bounds for List H-Coloring

Hubie Chen, Bart M.P. Jansen, Karolina Okrasa, Astrid Pieterse, Paweł Rzążewski

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Abstract

We investigate the List H-Coloring problem, the generalization of graph coloring that asks whether an input graph G admits a homomorphism to the undirected graph H (possibly with loops), such that each vertex v ∈ V (G) is mapped to a vertex on its list L(v) ⊆ V (H). An important result by Feder, Hell, and Huang [JGT 2003] states that List H-Coloring is polynomial-time solvable if H is a so-called bi-arc graph, and NP-complete otherwise. We investigate the NP-complete cases of the problem from the perspective of polynomial-time sparsification: can an n-vertex instance be efficiently reduced to an equivalent instance of bitsize O(n 2−ε ) for some ε > 0? We prove that if H is not a bi-arc graph, then List H-Coloring does not admit such a sparsification algorithm unless NP ⊆ coNP/poly. Our proofs combine techniques from kernelization lower bounds with a study of the structure of graphs H which are not bi-graphs.

Original languageEnglish
Article number8
Number of pages23
JournalACM Transactions on Computation Theory
Volume15
Issue number3-4
DOIs
Publication statusPublished - Dec 2023

Funding

B. M. P. Jansen was supported by NWO Gravitation grant “Networks.” K. Okrasa was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme Grant Agreement No. 714704. A. Pieterse was supported by a DFG Emmy Noether-grant (KR 4286/1). Part of this research was supported by NWO Gravitation grant “Networks.” P. Rzążewski was supported by Polish National Science Centre Grant No. 2018/31/D/ST6/00062.

FundersFunder number
European Union's Horizon 2020 - Research and Innovation Framework Programme714704
H2020 European Research Council
Deutsche ForschungsgemeinschaftKR 4286/1
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Narodowe Centrum Nauki2018/31/D/ST6/00062

    Keywords

    • List H-coloring
    • constraint satisfaction problem
    • sparsification

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