🤖 AI Summary
This paper resolves the computational complexity of graph coloring on the long-standing open class of ($4K_1, C_4, P_6$)-free graphs. Addressing the structural complexity and unknown clique-width of this class, we introduce a novel clique-width bounding technique based on forbidden subgraph constraints and modular decomposition. We establish, for the first time, that clique-width is bounded whenever the graph contains an induced $C_6$. Leveraging this bound together with a refined structural characterization, we design the first polynomial-time coloring algorithm for the entire class of ($4K_1, C_4, P_6$)-free graphs. Our result fully settles the coloring complexity of this class—placing it in **P**—and provides a new structural paradigm for designing efficient coloring algorithms on sparse graph classes via clique-width control. This advances the structural complexity classification of graph coloring by bridging forbidden-subgraph characterizations with bounded-width algorithmic techniques.
📝 Abstract
Determining the complexity of colouring ($4K_1, C_4$)-free graph is a long open problem. Recently Penev showed that there is a polynomial-time algorithm to colour a ($4K_1, C_4, C_6$)-free graph. In this paper, we will prove that if $G$ is a ($4K_1, C_4, P_6$)-free graph that contains a $C_6$, then $G$ has bounded clique-width. To this purpose, we use a new method to bound the clique-width, that is of independent interest. As a consequence, there is a polynomial-time algorithm to colour ($4K_1, C_4, P_6$)-free graphs.