Paper detail

The 3-rainbow index of graph operations

A tree $T$, in an edge-colored graph $G$, is called {\em a rainbow tree} if no two edges of $T$ are assigned the same color. A {\em $k$-rainbow coloring}of $G$ is an edge coloring of $G$ having the property that for every set $S$ of $k$ vertices of $G$, there exists a rainbow tree $T$ in $G$ such that $S\subseteq V(T)$. The minimum number of colors needed in a $k$-rainbow coloring of $G$ is the {\em $k$-rainbow index of $G$}, denoted by $rx_k(G)$. Graph operations, both binary and unary, are an interesting subject, which can be used to understand structures of graphs. In this paper, we will study the $3$-rainbow index with respect to three important graph product operations (namely cartesian product, strong product, lexicographic product) and other graph operations. In this direction, we firstly show if $G^*=G_1\Box G_2\cdots\Box G_k$ ($k\geq 2$), where each $G_i$ is connected, then $rx_3(G^*)\leq \sum_{i=1}^{k} rx_3(G_i)$. Moreover, we also present a condition and show the above equality holds if every graph $G_i (1\leq i\leq k)$ meets the condition. As a corollary, we obtain an upper bound for the 3-rainbow index of strong product. Secondly, we discuss the 3-rainbow index of the lexicographic graph $G[H]$ for connected graphs $G$ and $H$. The proofs are constructive and hence yield the sharp bound. Finally, we consider the relationship between the 3-rainbow index of original graphs and other simple graph operations : the join of $G$ and $H$, split a vertex of a graph and subdivide an edge.

preprint2014arXivOpen access

Signal facts

What is known right now

Open access2 authors1 topic

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.