Breaking the $2^n$ barrier for 5-coloring and 6-coloring

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Authors Or Zamir arXiv ID 2007.10790 Category cs.DS: Data Structures & Algorithms Citations 17 Venue arXiv.org Last Checked 3 months ago
Abstract
The coloring problem (i.e., computing the chromatic number of a graph) can be solved in $O^*(2^n)$ time, as shown by BjΓΆrklund, Husfeldt and Koivisto in 2009. For $k=3,4$, better algorithms are known for the $k$-coloring problem. $3$-coloring can be solved in $O(1.33^n)$ time (Beigel and Eppstein, 2005) and $4$-coloring can be solved in $O(1.73^n)$ time (Fomin, Gaspers and Saurabh, 2007). Surprisingly, for $k>4$ no improvements over the general $O^*(2^n)$ are known. We show that both $5$-coloring and $6$-coloring can also be solved in $O\left(\left(2-\varepsilon\right)^n\right)$ time for some $\varepsilon>0$. As a crucial step, we obtain an exponential improvement for computing the chromatic number of a very large family of graphs. In particular, for any constants $Ξ”,Ξ±>0$, the chromatic number of graphs with at least $Ξ±\cdot n$ vertices of degree at most $Ξ”$ can be computed in $O\left(\left(2-\varepsilon\right)^n\right)$ time, for some $\varepsilon = \varepsilon_{Ξ”,Ξ±} > 0$. This statement generalizes previous results for bounded-degree graphs (BjΓΆrklund, Husfeldt, Kaski, and Koivisto, 2010) and graphs with bounded average degree (Golovnev, Kulikov and Mihajilin, 2016). We generalize the aforementioned statement to List Coloring, for which no previous improvements are known even for the case bounded-degree graphs.
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