paper

The vertex leafage of chordal graphs

arXiv:1104.2524 · doi:10.1016/j.dam.2012.12.006.

Abstract

Every chordal graph can be represented as the intersection graph of a collection of subtrees of a host tree, a so-called {\em tree model} of . The leafage of a connected chordal graph is the minimum number of leaves of the host tree of a tree model of . The vertex leafage $\vl(G)$ is the smallest number such that there exists a tree model of in which every subtree has at most leaves. The leafage is a polynomially computable parameter by the result of \cite{esa}. In this contribution, we study the vertex leafage. We prove for every fixed that deciding whether the vertex leafage of a given chordal graph is at most is NP-complete by proving a stronger result, namely that the problem is NP-complete on split graphs with vertex leafage of at most . On the other hand, for chordal graphs of leafage at most , we show that the vertex leafage can be calculated in time . Finally, we prove that there exists a tree model that realizes both the leafage and the vertex leafage of . Notably, for every path graph , there exists a path model with leaves in the host tree and it can be computed in time.