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Algorithms and Almost Tight Results for 3-Colorability of Small Diameter Graphs

Published 21 Feb 2012 in cs.DS, cs.DM, and math.CO | (1202.4665v3)

Abstract: In spite of the extensive studies of the 3-coloring problem with respect to several basic parameters, the complexity status of the 3-coloring problem on graphs with small diameter, i.e. with diameter 2 or 3, has been a longstanding and challenging open question. For graphs with diameter 2 we provide the first subexponential algorithm with complexity 2<sup>O(nlog⁡</sup>n)2<sup>{O(\sqrt{n\log</sup> n})}, which is asymptotically the same as the currently best known time complexity for the graph isomorphism (GI) problem. Moreover, we prove that the graph isomorphism problem on 3-colorable graphs with diameter 2 is GI-complete. Furthermore we present a subclass of graphs with diameter 2 that admits a polynomial algorithm for 3-coloring. For graphs with diameter 3 we establish the complexity of 3-coloring by proving that for every ε∈[0,1)\varepsilon \in [0,1), 3-coloring is NP-complete on triangle-free graphs of diameter 3 and radius 2 with nn vertices and minimum degree δ=Θ(n<sup>ε)\delta=\Theta(n<sup>{\varepsilon}). Moreover, assuming ETH, we provide three different amplifications of our hardness results to obtain for every ε∈[0,1)\varepsilon \in [0,1) subexponential lower bounds for the complexity of 3-coloring on triangle-free graphs with diameter 3 and minimum degree δ=Θ(n<sup>ε)\delta=\Theta(n<sup>{\varepsilon}). Finally, we provide a 3-coloring algorithm with running time 2<sup>O(min⁡δΔ,nδlog⁡δ)2<sup>{O(\min{\delta\Delta,\frac{n}{\delta}\log\delta})} for graphs with diameter 3, where δ\delta (resp. Δ\Delta ) is the minimum (resp. maximum) degree of the input graph. To the best of our knowledge, this algorithm is the first subexponential algorithm for graphs with δ=ω(1)\delta=\omega(1) and for graphs with δ=O(1)\delta=O(1) and Δ=o(n)\Delta=o(n). Due to the above lower bounds of the complexity of 3-coloring, the running time of this algorithm is asymptotically almost tight when the minimum degree if the input graph is δ=Θ(n<sup>ε)\delta=\Theta(n<sup>{\varepsilon}), where ε∈[1/2,1)\varepsilon \in [1/2,1).

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