Algorithmic study of $d_2$-transitivity of graphs
Abstract
Let be a graph where and are the vertex and edge sets, respectively. For two disjoint subsets and of , we say \emph{dominates} if every vertex of is adjacent to at least one vertex of . A vertex partition of is called a \emph{transitive partition} of size if dominates for all . In this article, we initiate the study of a generalization of transitive partition, namely \emph{-transitive partition}. For two disjoint subsets and of , we say \emph{-dominates} if, for every vertex of , there exists a vertex in , such that the distance between them is at most two. A vertex partition of is called a \emph{-transitive partition} of size if -dominates for all . The maximum integer for which the above partition exists is called \emph{-transitivity} of , and it is denoted by . The \textsc{Maximum -Transitivity Problem} is to find a -transitive partition of a given graph with the maximum number of parts. We show that this problem can be solved in linear time for the complement of bipartite graphs and bipartite chain graphs. On the negative side, we prove that the decision version of the \textsc{Maximum -Transitivity Problem} is NP-complete for split graphs, bipartite graphs, and star-convex bipartite graphs.
Cite
@article{arxiv.2308.01561,
title = {Algorithmic study of $d_2$-transitivity of graphs},
author = {Subhabrata Paul and Kamal Santra},
journal= {arXiv preprint arXiv:2308.01561},
year = {2023}
}
Comments
arXiv admin note: text overlap with arXiv:2211.13931