The metric dimension has been introduced independently by Harary, Melter and Slater in 1975 to identify vertices of a graph G using its distances to a subset of vertices of G. A resolving set X of a graph G is a subset of vertices such that, for every pair (u,v) of vertices of G, there is a vertex x in X such that the distance between x and u and the distance between x and v are distinct. The metric dimension of the graph is the minimum size of a resolving set. Computing the metric dimension of a graph is NP-hard even on split graphs and interval graphs. Bonnet and Purohit proved that the metric dimension problem is W[1]-hard parameterized by treewidth. Li and Pilipczuk strenghtened this result by showing that it is NP-hard for graphs of treewidth. In this article, we prove that that metric dimension is FPT parameterized by treewidth in chordal graphs.
翻译:度量维数最初由Harary、Melter和Slater于1975年独立引入,用于使用图G到G的顶点的距离来识别顶点。对于图G的解决集X是这样一组子节点,对于G的每对顶点(u,v),都存在一个顶点x在X中,使得x和u之间的距离与x和v之间的距离是不同的。图的度量维数是解决集的最小大小。即使是在分离图和区间图中,计算图的度量维数也是NP难的。Bonnet和Purohit证明了度量维数问题在树宽参数化方面是W[1]-hard的。Li和Pilipczuk则进一步证明了在树宽的图中,度量维数问题是NP难的。在本文中,我们证明,度量维数在和弦图上由树宽参数化是固定参数可解的。