Strong coloring

Last updated
This Mobius ladder is strongly 4-colorable. There are 35 4-sized partitions, but only these 7 partitions are topologically distinct. Strong coloring sample.svg
This Möbius ladder is strongly 4-colorable. There are 35 4-sized partitions, but only these 7 partitions are topologically distinct.

In graph theory, a strong coloring, with respect to a partition of the vertices into (disjoint) subsets of equal sizes, is a (proper) vertex coloring in which every color appears exactly once in every part. A graph is strongly k-colorable if, for each partition of the vertices into sets of size k, it admits a strong coloring. When the order of the graph G is not divisible by k, we add isolated vertices to G just enough to make the order of the new graph G divisible by k. In that case, a strong coloring of G minus the previously added isolated vertices is considered a strong coloring of G. [1]

The strong chromatic number sχ(G) of a graph G is the least k such that G is strongly k-colorable. A graph is strongly k-chromatic if it has strong chromatic number k.

Some properties of sχ(G):

  1. sχ(G) > Δ(G).
  2. sχ(G) ≤ 3 Δ(G) 1. [2]
  3. Asymptotically, sχ(G) ≤ 11 Δ(G) / 4 + o(Δ(G)). [3]

Here, Δ(G) is the maximum degree.

Strong chromatic number was independently introduced by Alon (1988) [4] [5] and Fellows (1990). [6]

Given a graph and a partition of the vertices, an independent transversal is a set U of non-adjacent vertices such that each part contains exactly one vertex of U. A strong coloring is equivalent to a partition of the vertices into disjoint independent-transversals (each independent-transversal is a single "color"). This is in contrast to graph coloring , which is a partition of the vertices of a graph into a given number of independent sets, without the requirement that these independent sets be transversals.

To illustrate the difference between these concepts, consider a faculty with several departments, where the dean wants to construct a committee of faculty members. But some faculty members are in conflict and will not sit in the same committee. If the "conflict" relations are represented by the edges of a graph, then:

Related Research Articles

This is a glossary of graph theory. Graph theory is the study of graphs, systems of nodes or vertices connected in pairs by lines or edges.

<span class="mw-page-title-main">Turán graph</span> Balanced complete multipartite graph

The Turán graph, denoted by , is a complete multipartite graph; it is formed by partitioning a set of vertices into subsets, with sizes as equal as possible, and then connecting two vertices by an edge if and only if they belong to different subsets. Where and are the quotient and remainder of dividing by , the graph is of the form , and the number of edges is

<span class="mw-page-title-main">Graph coloring</span> Methodic assignment of colors to elements of a graph

In graph theory, graph coloring is a special case of graph labeling; it is an assignment of labels traditionally called "colors" to elements of a graph subject to certain constraints. In its simplest form, it is a way of coloring the vertices of a graph such that no two adjacent vertices are of the same color; this is called a vertex coloring. Similarly, an edge coloring assigns a color to each edge so that no two adjacent edges are of the same color, and a face coloring of a planar graph assigns a color to each face or region so that no two faces that share a boundary have the same color.

<span class="mw-page-title-main">Extremal graph theory</span>

Extremal graph theory is a branch of combinatorics, itself an area of mathematics, that lies at the intersection of extremal combinatorics and graph theory. In essence, extremal graph theory studies how global properties of a graph influence local substructure. Results in extremal graph theory deal with quantitative connections between various graph properties, both global and local, and problems in extremal graph theory can often be formulated as optimization problems: how big or small a parameter of a graph can be, given some constraints that the graph has to satisfy? A graph that is an optimal solution to such an optimization problem is called an extremal graph, and extremal graphs are important objects of study in extremal graph theory.

In graph theory, the perfect graph theorem of László Lovász states that an undirected graph is perfect if and only if its complement graph is also perfect. This result had been conjectured by Berge, and it is sometimes called the weak perfect graph theorem to distinguish it from the strong perfect graph theorem characterizing perfect graphs by their forbidden induced subgraphs.

In graph theory, a uniquely colorable graph is a k-chromatic graph that has only one possible (proper) k-coloring up to permutation of the colors. Equivalently, there is only one way to partition its vertices into k independent sets and there is no way to partition them into k − 1 independent sets.

<span class="mw-page-title-main">Critical graph</span>

In graph theory, a critical graph is an undirected graph all of whose subgraphs have smaller chromatic number. In such a graph, every vertex or edge is a critical element, in the sense that its deletion would decrease the number of colors needed in a graph coloring of the given graph. The decrease in the number of colors cannot be by more than one.

<span class="mw-page-title-main">Edge coloring</span> Problem of coloring a graphs edges such that meeting edges do not match

In graph theory, an edge coloring of a graph is an assignment of "colors" to the edges of the graph so that no two incident edges have the same color. For example, the figure to the right shows an edge coloring of a graph by the colors red, blue, and green. Edge colorings are one of several different types of graph coloring. The edge-coloring problem asks whether it is possible to color the edges of a given graph using at most k different colors, for a given value of k, or with the fewest possible colors. The minimum required number of colors for the edges of a given graph is called the chromatic index of the graph. For example, the edges of the graph in the illustration can be colored by three colors but cannot be colored by two colors, so the graph shown has chromatic index three.

In graph theory, a branch of mathematics, list coloring is a type of graph coloring where each vertex can be restricted to a list of allowed colors. It was first studied in the 1970s in independent papers by Vizing and by Erdős, Rubin, and Taylor.

<span class="mw-page-title-main">Total coloring</span>

In graph theory, total coloring is a type of graph coloring on the vertices and edges of a graph. When used without any qualification, a total coloring is always assumed to be proper in the sense that no adjacent edges, no adjacent vertices and no edge and either endvertex are assigned the same color. The total chromatic number χ″(G) of a graph G is the fewest colors needed in any total coloring of G.

<span class="mw-page-title-main">Exact coloring</span>

In graph theory, an exact coloring is a (proper) vertex coloring in which every pair of colors appears on exactly one pair of adjacent vertices. That is, it is a partition of the vertices of the graph into disjoint independent sets such that, for each pair of distinct independent sets in the partition, there is exactly one edge with endpoints in each set.

<span class="mw-page-title-main">Erdős–Faber–Lovász conjecture</span>

In graph theory, the Erdős–Faber–Lovász conjecture is a problem about graph coloring, named after Paul Erdős, Vance Faber, and László Lovász, who formulated it in 1972. It says:

In graph theory, a domatic partition of a graph is a partition of into disjoint sets , ,..., such that each Vi is a dominating set for G. The figure on the right shows a domatic partition of a graph; here the dominating set consists of the yellow vertices, consists of the green vertices, and consists of the blue vertices.

<span class="mw-page-title-main">Triangle-free graph</span> Graph without triples of adjacent vertices

In the mathematical area of graph theory, a triangle-free graph is an undirected graph in which no three vertices form a triangle of edges. Triangle-free graphs may be equivalently defined as graphs with clique number ≤ 2, graphs with girth ≥ 4, graphs with no induced 3-cycle, or locally independent graphs.

<span class="mw-page-title-main">Brooks' theorem</span>

In graph theory, Brooks' theorem states a relationship between the maximum degree of a graph and its chromatic number. According to the theorem, in a connected graph in which every vertex has at most Δ neighbors, the vertices can be colored with only Δ colors, except for two cases, complete graphs and cycle graphs of odd length, which require Δ + 1 colors.

In graph theory, an area of mathematics, an equitable coloring is an assignment of colors to the vertices of an undirected graph, in such a way that

<span class="mw-page-title-main">Degeneracy (graph theory)</span> Measurement of graph sparsity

In graph theory, a k-degenerate graph is an undirected graph in which every subgraph has a vertex of degree at most k: that is, some vertex in the subgraph touches k or fewer of the subgraph's edges. The degeneracy of a graph is the smallest value of k for which it is k-degenerate. The degeneracy of a graph is a measure of how sparse it is, and is within a constant factor of other sparsity measures such as the arboricity of a graph.

In the mathematical discipline of graph theory, a rainbow matching in an edge-colored graph is a matching in which all the edges have distinct colors.

In graph theory, a balanced hypergraph is a hypergraph that has several properties analogous to that of a bipartite graph.

In graph theory, a rainbow-independent set (ISR) is an independent set in a graph, in which each vertex has a different color.

References

  1. Jensen, Tommy R. (1995). Graph coloring problems. Toft, Bjarne. New York: Wiley. ISBN   0-471-02865-7. OCLC   30353850.
  2. Haxell, P. E. (2004-11-01). "On the Strong Chromatic Number". Combinatorics, Probability and Computing. 13 (6): 857–865. doi:10.1017/S0963548304006157. ISSN   0963-5483. S2CID   6387358.
  3. Haxell, P. E. (2008). "An improved bound for the strong chromatic number". Journal of Graph Theory. 58 (2): 148–158. doi:10.1002/jgt.20300. ISSN   1097-0118. S2CID   20457776.
  4. Alon, N. (1988-10-01). "The linear arboricity of graphs". Israel Journal of Mathematics . 62 (3): 311–325. doi: 10.1007/BF02783300 . ISSN   0021-2172.
  5. Alon, Noga (1992). "The strong chromatic number of a graph". Random Structures & Algorithms. 3 (1): 1–7. doi:10.1002/rsa.3240030102.
  6. Fellows, Michael R. (1990-05-01). "Transversals of Vertex Partitions in Graphs". SIAM Journal on Discrete Mathematics. 3 (2): 206–215. doi:10.1137/0403018. ISSN   0895-4801.
  7. Haxell, P. (2011-11-01). "On Forming Committees". The American Mathematical Monthly. 118 (9): 777–788. doi:10.4169/amer.math.monthly.118.09.777. ISSN   0002-9890. S2CID   27202372.