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Deciding Relaxed Two-Colorability—A Hardness Jump

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Algorithms – ESA 2006 (ESA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4168))

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Abstract

A coloring is proper if each color class induces connected components of order one (where the order of a graph is its number of vertices). Here we study relaxations of proper two-colorings, such that the order of the induced monochromatic components in one (or both) of the color classes is bounded by a constant. In a (C 1 , C 2 )-relaxed coloring of a graph G every monochromatic component induced by vertices of the first (second) color is of order at most C 1 (C 2, resp.). We are mostly concerned with (1,C)-relaxed colorings, in other words when/how is it possible to break up a graph into small components with the removal of an independent set.

We prove that every graph of maximum degree at most three can be (1,22)-relaxed colored and we give a quasilinear algorithm which constructs such a coloring. We also show that a similar statement cannot be true for graphs of maximum degree at most 4 in a very strong sense: we construct 4-regular graphs such that the removal of any independent set leaves a connected component whose order is linear in the number of vertices.

Furthermore we investigate the complexity of the decision problem (Δ, C)-AsymRelCol: Given a graph of maximum degree at most Δ, is there a (1,C)-relaxed coloring of G? We find a remarkable hardness jump in the behavior of this problem. We note that there is not even an obvious monotonicity in the hardness of the problem as C grows, i.e. the hardness for component order C+1 does not imply directly the hardness for C. In fact for C=1 the problem is obviously polynomial-time decidable, while it is shown that it is NP-hard for C=2 and Δ≥3.

For arbitrary Δ≥2 we still establish the monotonicity of hardness of (Δ, C)-AsymRelCol on the interval 2≤C ≤∞ in the following strong sense. There exists a critical component order f(Δ)∈ℕ∪{∞} such that the problem of deciding (1,C)-relaxed colorability of graphs of maximum degree at most Δ is NP-complete for every 2≤C< f(Δ), while deciding (1,f(Δ))-colorability is trivial: every graph of maximum degree Δ is (1,f(Δ))-colorable. For Δ=3 the existence of this threshold is shown despite the fact that we do not know its precise value, only 6≤f(3)≤22. For any Δ≥4, (Δ, C)-AsymRelCol is NP-complete for arbitrary C≥2, so f(Δ)=∞.

We also study the symmetric version of the relaxed coloring problem, and make the first steps towards establishing a similar hardness jump.

Research is supported in part by the SNF Grant 200021-108099/1.

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Berke, R., Szabó, T. (2006). Deciding Relaxed Two-Colorability—A Hardness Jump. In: Azar, Y., Erlebach, T. (eds) Algorithms – ESA 2006. ESA 2006. Lecture Notes in Computer Science, vol 4168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11841036_14

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  • DOI: https://doi.org/10.1007/11841036_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38875-3

  • Online ISBN: 978-3-540-38876-0

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