In graph theory, a path in an edge-colored graph is said to be rainbow if no color repeats on it. A graph is said to be rainbow-connected (or rainbow colored) if there is a rainbow path between each pair of its vertices. If there is a rainbow shortest path between each pair of vertices, the graph is said to be strongly rainbow-connected (or strongly rainbow colored).[1]
Definitions and bounds
The rainbow connection number of a graph G is the minimum number of colors needed to rainbow-connect G, and is denoted by \text{rc}(G). Similarly, the strong rainbow connection number of a graph G is the minimum number of colors needed to strongly rainbow-connect G, and is denoted by \text{src}(G). Clearly, each strong rainbow coloring is also a rainbow coloring, while the converse is not true in general.
It is easy to observe that to rainbow-connect any connected graph G, we need at least \text{diam}(G) colors, where \text{diam}(G) is the diameter of G (i.e. the length of the longest shortest path). On the other hand, we can never use more than m colors, where m denotes the number of edges in G. Finally, because each strongly rainbow-connected graph is rainbow-connected, we have that \text{diam}(G) \leq \text{rc}(G) \leq \text{src}(G) \leq m.
The following are the extremal cases:[1]
\text{rc}(G) = \text{src}(G) = 1if and only ifGis a complete graph.\text{rc}(G) = \text{src}(G) = mif and only ifGis a tree.
The above shows that in terms of the number of vertices, the upper bound \text{rc}(G) \leq n - 1 is the best possible in general. In fact, a rainbow coloring using n - 1 colors can be constructed by coloring the edges of a spanning tree of G in distinct colors. The remaining uncolored edges are colored arbitrarily, without introducing new colors. When G is 2-connected, we have that \text{rc}(G) \leq \lceil n/2 \rceil.[2] Moreover, this is tight as witnessed by e.g. odd cycles. For every bridgeless graph G with radius r, rc(G)\le r(r+2).[3]
The very strong rainbow connection number (vsrc(G)) is the minimum number of colors required to color the edges of a graph G such that every shortest path between any two vertices is a rainbow path. While approximating vsrc(G) for a general graph G is an NP-hard problem, it can be solved in polynomial time for certain graph classes, such as cactus graphs.[4]
Exact rainbow or strong rainbow connection numbers
The rainbow or the strong rainbow connection number has been determined for some structured graph classes:
\text{rc}(C_n) = \text{src}(C_n) = \lceil n/2 \rceil, for each integern \geq 4, whereC_nis the cycle graph.[1]\text{rc}(W_n) = 3, for each integern \geq 7, and\text{src}(W_n) = \lceil n/3 \rceil, forn \geq 3, whereW_nis the wheel graph.[1]
Complexity
The problem of deciding whether \text{rc}(G) = 2 for a given graph G is NP-complete.[5] Because \text{rc}(G) = 2 if and only if \text{src}(G) = 2,[1] it follows that deciding if \text{src}(G) = 2 is NP-complete for a given graph G.
Variants and generalizations
Chartrand, Okamoto and Zhang[6] generalized the rainbow connection number as follows. Let G be an edge-colored nontrivial connected graph of order n. A tree T is a rainbow tree if no two edges of T are assigned the same color. Let k be a fixed integer with 2 \leq k \leq n. An edge coloring of G is called a k-rainbow coloring if for every set S of k vertices of G, there is a rainbow tree in G containing the vertices of S. The k-rainbow index \text{rx}_k(G) of G is the minimum number of colors needed in a k-rainbow coloring of G. A k-rainbow coloring using \text{rx}_k(G) colors is called a minimum k-rainbow coloring. Thus \text{rx}_2(G) is the rainbow connection number of G.
Rainbow connection has also been studied in vertex-colored graphs. This concept was introduced by Krivelevich and Yuster.[7]
Here, the rainbow vertex-connection number of a graph G, denoted by \text{rvc}(G), is the minimum number of colors needed to color G such that for each pair of vertices, there is a path connecting them whose internal vertices are assigned distinct colors.
See also
Notes
- ^ Chartrand et al. (2008).
- ^ Ekstein et al. (2013).
- ^ Basavaraju, M.; Chandran, L. S.; Rajendraprasad, D.; Ramaswamy, A. (2014). "Rainbow connection number and radius". Graphs and Combinatorics. 30 (2): 275-285.
- ^ Chandran, L. S.; Das, A.; Issac, D. (2025). "Algorithms and Bounds for Very Strong Rainbow Coloring". Bulletin of the Malaysian Mathematical Sciences Society. 48: 96. doi:10.1007/s40840-025-01876-8
- ^ Chakraborty et al. (2011).
- ^ Chartrand, Okamoto & Zhang (2010).
- ^ Krivelevich & Yuster (2010).
References
- Chartrand, Gary; Johns, Garry L.; McKeon, Kathleen A.; Zhang, Ping (2008), "Rainbow connection in graphs", Mathematica Bohemica. 133 (1): 85–98, doi:10.21136/MB.2008.133947. hdl:10338.dmlcz/133947.
- Chartrand, Gary; Okamoto, Futaba; Zhang, Ping (2010), "Rainbow trees in graphs and generalized connectivity", Networks. 55 (4): NA, doi:10.1002/net.20339. S2CID 7505197.
- Chakraborty, Sourav; Fischer, Eldar; Matsliah, Arie; Yuster, Raphael (2011), "Hardness and algorithms for rainbow connection", Journal of Combinatorial Optimization. 21 (3): 330–347, arXiv:0809.2493. doi:10.1007/s10878-009-9250-9. S2CID 10874392.
- Krivelevich, Michael & Yuster, Raphael (2010), "The Rainbow Connection of a Graph Is (at Most) Reciprocal to Its Minimum Degree", Journal of Graph Theory. 63 (3): 185–191, doi:10.1002/jgt.20418.
- Li, Xueliang; Shi, Yongtang; Sun, Yuefang (2013), "Rainbow Connections of Graphs: A Survey", Graphs and Combinatorics. 29 (1): 1–38, arXiv:1101.5747. doi:10.1007/s00373-012-1243-2. S2CID 253898232.
- Li, Xueliang & Sun, Yuefang (2012), Rainbow connections of graphs, Springer, p. 103, ISBN 978-1-4614-3119-0.
- Ekstein, Jan; Holub, Přemysl; Kaiser, Tomáš; Koch, Maria; Camacho, Stephan Matos; Ryjáček, Zdeněk; Schiermeyer, Ingo (2013), "The rainbow connection number of 2-connected graphs", Discrete Mathematics. 313 (19): 1884–1892, arXiv:1110.5736. doi:10.1016/j.disc.2012.04.022. S2CID 16596310.