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Some Results on the Rainbow Vertex-Disconnection Colorings of Graphs

Some results on the rainbow vertex-disconnection colorings of graphs
Authors: Yindi Weng;

Some Results on the Rainbow Vertex-Disconnection Colorings of Graphs

Abstract

Let $G$ be a nontrivial connected and vertex-colored graph. A vertex subset $X$ is called rainbow if any two vertices in $X$ have distinct colors. The graph $G$ is called \emph{rainbow vertex-disconnected} if for any two vertices $x$ and $y$ of $G$, there exists a vertex subset $S$ such that when $x$ and $y$ are nonadjacent, $S$ is rainbow and $x$ and $y$ belong to different components of $G-S$; whereas when $x$ and $y$ are adjacent, $S+x$ or $S+y$ is rainbow and $x$ and $y$ belong to different components of $(G-xy)-S$. For a connected graph $G$, the \emph{rainbow vertex-disconnection number} of $G$, $rvd(G)$, is the minimum number of colors that are needed to make $G$ rainbow vertex-disconnected. In this paper, we prove for any $K_4$-minor free graph, $rvd(G)\leq Δ(G)$ and the bound is sharp. We show it is $NP$-complete to determine the rainbow vertex-disconnection number for bipartite graphs and split graphs. Moreover, we show for every $ε>0$, it is impossible to efficiently approximate the rainbow vertex-disconnection number of any bipartite graph and split graph within a factor of $n^{\frac{1}{3}-ε}$ unless $ZPP=NP$.

Related Organizations
Keywords

vertex-coloring, Connectivity, Coloring of graphs and hypergraphs, computational complexity, rainbow vertex-cut, FOS: Mathematics, Mathematics - Combinatorics, Structural characterization of families of graphs, Combinatorics (math.CO), rainbow vertex-disconnection number

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green