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A Hajóslike theorem for weighted coloring
Journal of the Brazilian Computer Society volume 19, pages 275–278 (2013)
Abstract
The Hajós’ Theorem (Wiss Z Martin Luther Univ MathNatur Reihe, 10, pp 116–117, 1961) shows a necessary and sufficient condition for the chromatic number of a given graph \(G\) to be at least \(k\): \(G\) must contain a \(k\)constructible subgraph. A graph is \(k\)constructible if it can be obtained from a complete graph of order \(k\) by successively applying a set of welldefined operations. Given a vertexweighted graph \(G\) and a (proper) \(r\)coloring \(c=\{C_1, \ldots , C_r\}\) of \(G\), the weight of a color class \(C_i\) is the maximum weight of a vertex colored \(i\) and the weight of \(c\) is the sum of the weights of its color classes. The objective of the Weighted Coloring Problem [7] is, given a vertexweighted graph \(G\), to determine the minimum weight of a proper coloring of \(G\), that is, its weighted chromatic number. In this article, we prove that the Weighted Coloring Problem admits a version of the Hajós’ Theorem and so we show a necessary and sufficient condition for the weighted chromatic number of a vertexweighted graph \(G\) to be at least \(k\), for any positive real \(k\).
Introduction
For the terms not defined here the reader can be referred to [2].
Given a graph \(G = (V, E)\), a \(k\)coloring \(c\) of \(G\) is an assignment of colors to the vertices of \(G\), \(c: V(G) \rightarrow \{1,\ldots ,k\}\), such that if \((u,v)\in E\), then \(c(u)\ne c(v)\). The chromatic number of a graph \(G\), \(\chi (G)\), is the smallest integer \(k\) such that \(G\) admits a \(k\)coloring.
The Vertex Coloring Problem consists in, for a given a graph \(G\), determining \(\chi (G)\). It is a well known fact that it is a NPhard problem [11].
The characterization of the \(k\)chromatic graphs, i.e., graphs \(G\) such that \(\chi (G)=k\), has been a challenging problem for many years. In 1961, Hajós [8] gave a characterization of graphs with chromatic number of value at least \(k\) by proving that they must contain a \(k\)constructible subgraph. In order to present this characterization, we need to recall some definitions. The identification of two vertices \(a\) and \(b\) of a graph \(G\) means the removal of \(a\) and \(b\) followed by the inclusion of a new vertex \(a \circ b\) adjacent to each vertex in \(N_G(a) \cup N_G(b)\), where \(N_G(x)\) is the set of neighbors of a vertex \(x\) in a graph \(G\). A graph \(G=(V,E)\) is complete if it is simple and for every pair of vertices \(u,v\) of \(G\), \(uv \in E(G)\). We denote by \(K_n\) the complete graph with \(n\) vertices.
Definition 1.1
The set of \(k\)constructible graphs is defined recursively as follows:

1.
The complete graph on \(k\) vertices is \(k\)constructible.

2.
Hajós’ Sum: If \(G_1\) and \(G_2\) are disjoint graphs which are \(k\)constructible, \((a_1,b_1)\) is an edge of \(G_1\) and \((a_2,b_2)\) is an edge of \(G_2\), then the graph \(G\) obtained from \(G_1\cup G_2\) by removing \((a_1,b_1)\) and \((a_2,b_2)\), identifying \(a_1\) with \(a_2\), and adding an edge between \((b_1,b_2)\), is a \(k\)constructible graph (see Fig. 1).

3.
Identification: If \(G\) is \(k\)constructible and \(a\) and \(b\) are two nonadjacent vertices of \(G\), then the graph obtained by the identification of \(a\) and \(b\) is a \(k\)constructible graph.
Theorem 1.1
(Hajós [8]) \(\chi (G)\ge k\) if and only if \(G\) is a supergraph of a \(k\)constructible graph.
The Hajós’ Theorem determines a set of operations that we can use to obtain, from a complete graph with \(k\) vertices, all \(k\)chromatic graphs, including the \(k\)critical ones. A graph \(H\) is \(k\)critical if \(\chi (H) \ge k\) and for every proper subgraph \(I\) of \(H\), \(\chi (I) < k\). Clearly, for a given graph \(G\), the difficulty of determining whether \(\chi (G)\ge k\) is equivalent to the difficulty of determining if \(G\) contains a \(k\)critical subgraph \(H\). Thanks to the Hajós’ Theorem, we know that all the \(k\)critical graphs can be built from complete graphs on \(k\) vertices by successive applications of Hajós Sum and Identification of vertices. Because of this, it has been subject of interest to obtain the Hajóslike theorems for several variations of the classical coloring problem. Gravier [6] proved an extension of Hajós’ Theorem for List Coloring. Král [12] gave a simplified proof of Gravier’s result. Zhu [17] found an extension of this theorem for the chromatic circular number. Mohar [14] demonstrated two new versions of the referred theorem for chromatic circular number and an extension of Hajós’ Theorem for the channel assignment problem, i.e., a coloring of edgeweighted graphs.
In this paper, we are interested in a variation of the classical Vertex Coloring Problem, which is called the Weighted Coloring Problem. In order to present it, we need some definitions.
Given a simple graph \(G = (V, E)\), an assignment \(w\) of nonnegative real weights to its vertices and a proper \(k\)coloring \(c=\{C_1, \ldots , C_k\}\) of \(G\), the weight of a color class\(C_i\) in the coloring \(c\) is the maximum weight of a vertex in this color class. Moreover, the weight of a\(k\)coloring\(c\), denoted by \(w(c)\), is the sum of the weights of its color classes. The Weighted Coloring Problem [7] consists in, for a given graph \(G\) with nonnegatives real weights associated to its vertices, determining the minimum weight of a proper coloring of \(G\), that is, the weighted chromatic number of \(G\), denoted by \(\chi _w(G)\):
When all the vertices of the input graph \(G\) have equal weights, the Weighted Coloring Problem is equivalent to the Vertex Coloring Problem. Then, the former is a particular case of the second one. Consequently, Weighted Coloring is also \(NP\)Hard.
The complexity of this problem was already studied in some previous works. It was shown that the weighted chromatic number of a graph \(G\) can be calculated in polynomialtime whenever \(G\) is a bipartite graph with only two different weights associated to its vertices [4], or \(G\) is a \(P_5\)free bipartite graph [3], or \(G\) belongs to a subclass of \(P_4\)sparse graphs that properly contains the cographs [1].
On the other hand, it was proved that the decision version of Weighted Coloring is \(NP\)complete for bipartite graphs [4], split graphs [4], planar graphs [3], interval graphs [5] and others graph classes.
In the next section, we show an extension of Hajós’ Theorem for Weighted Coloring.
Hajós’ theorem for weighted coloring
In this section, we deal with simple (vertex)weighted graphs. We denote by \(G=(V,E,w)\) a vertexweighted graph \(G = (V,E)\) together with its function weight \(w: V \rightarrow \mathbb R ^+\).
Notation 2.1
The infinity family of complete weighted graphs \(G=(V,E,w)\) with order \(n = V(G)\) and such that \(\sum _{v\in V} w(v) = k\) is denoted by \(\mathcal K ^k_n\).
Notation 2.2
Given a weighted graph \(G=(V,E,w)\) and a proper coloring \(c\) of \(G\), we choose as the representative of the color \(i\) in \(c\), \(rep_c(i)\), a unique vertex \(v \in V\) satisfying the inequality \(w(v)\ge w(x)\), for all \(x\in V\) such that \(c(x)\ =\ c(v) =i\).
Definition 2.1
Given weighted graphs \(G=(V,E,w)\) and \(H=(V^{\prime },E^{\prime }, w^{\prime })\), we say that \(H\subseteq G\) (\(H\) is a weighted subgraph of \(G\)) if \(V^{\prime }\subseteq V\), \(E^{\prime }\subseteq E\), and, for all \(v\in V^{\prime }\), we have \(w^{\prime }(v)\ \le \ w(v)\).
Now, we redefine the Hajós’ construction to the weighted case:
Definition 2.2
The weighted\(k\)constructible graphs are defined recursively as follows:

1.
The graphs in \(\bigcup _{i\in \mathbb N } \mathcal K ^k_i\) are weighted \(k\)constructible.

2.
Weighted Hajós’ Sum: If \(G_1\) and \(G_2\) are disjoint weighted \(k\)constructible graphs, \((a_1,b_1)\) is an edge of \(G_1\) and \((a_2,b_2)\) is an edge of \(G_2\), then the graph \(G\) obtained from \(G_1\cup G_2\) by removing \((a_1,b_1)\) and \((a_2,b_2)\), identifying \(a_1\) with \(a_2\) into a vertex \(a_1 \circ a_2\), doing \(w(a_1 \circ a_2) = \) max \(\{w(a_1),w(a_2)\}\), and adding the edge \((b_1,b_2)\) is a weighted \(k\)constructible graph.

3.
Weighted Identification: If \(a\) and \(b\) are two nonadjacent vertices of a weighted \(k\)constructible \(G\), then the graph that we obtain by the identification of two vertices \(a\) and \(b\) into a vertex \(a \circ b\), doing \(w(a \circ b) =\) max\(\{w(a),w(b)\}\), is a weighted \(k\)constructible graph.
The main result of this paper is:
Theorem 2.1
Let \(G=(V,E,w)\) be a weighted graph and \(k\) be a positive real. Therefore, \(\chi _w(G) \ge k\) if and only if \(G\) has a weighted \(k\)constructible weighted subgraph \(H\).
Proof
In order to simplify the notation, whenever we refer to subgraph in this proof, we mean weighted subgraph, as in Definition 2.1.
We prove first that if \(\chi _w(G)\ge k\), then \(G\) has a weighted \(k\)constructible subgraph \(H\). Suppose, by contradiction, that this statement is false and consider as a counterexample a graph \(G = (V, E, w)\) which is maximal with respect to its number of edges. It means that \(\chi _w(G)\ge k\) and \(G\) does not contain any weighted \(k\)constructible subgraphs and for any pair of nonadjacent vertices of \(G\), let us say \(u,v\), \(G^{\prime }=G + uv\) contains a weighted \(k\)constructible subgraph.
We claim that \(G\) is not isomorphic to a complete multipartite graph. Suppose the contrary and let \(p\) be the number of stable sets in the partition \(\mathcal P \) of \(V(G)\). For each color class \(C_i\), of an optimal weighted coloring \(c\) of \(G\), there is no pair of vertices of \(C_i\) in distinct sets of \(\mathcal P \), since there is an edge between any two vertices of distinct parts.
Moreover, we cannot have more than one color class in one stable set. As a matter of fact, suppose by contradiction that there are two color classes, say \(C_i\) and \(C_j\), whose vertices belong to the same stable set in the partition \(\mathcal P \) of \(V(G)\). Without loss of generality, suppose that \(w(rep_c(i)) \ge w(rep_c(j))\). Then a coloring \(c^{\prime }\), obtained from \(c\) by the union of the color classes \(C_i\) and \(C_j\), has cost exactly \(\chi _w(G)  w(rep_c(j))\), and this contradicts the optimality of \(c\).
Consequently, the vertices with the greatest weight in every part are exactly the representatives of each color class. Observe that the subgraph induced by the representatives is an element of the set \(\mathcal K _p^k\), because \(\chi _w(G)\ge k\) and \(p\in \mathbb N \). This contradicts the hypothesis that \(G\) has no weighted \(k\)constructible subgraph.
Therefore, the counterexample \(G\) is not a complete multipartite graph. Thus, there are at least three vertices in \(G\), let us say \(a\), \(b\) and \(c\), such that \(ab, bc \notin E(G)\) and \(ac\in E(G)\). Consider now the graphs \(G_1 = G + ab\) and \(G_2 = G + bc\). Because of the maximality of \(G\), \(G_1\) and \(G_2\) have, respectively, weighted \(k\)constructible subgraphs \(H_1\) and \(H_2\). Obviously, the edges \(ab\) and \(bc\) belong, respectively, to \(H_1\) and \(H_2\). Consider then the application of Hajós Sum in two disjoint graphs isomorphic to \(H_1\) and \(H_2\), respectively. Let us choose edge \(ab\) of \(H_1\) and \(bc\) of \(H_2\) to remove and let us identify the vertices labeled \(b\). Finally, identify all the vertices in \(H_1\) with their correspondent vertices in \(H_2\), if they exist. Observe that a graph isomorphic to a subgraph of \(G\) is obtained at the end of this sequence of operations. Then, \(G\) has a weighted \(k\)constructible subgraph, a contradiction.
Conversely, we prove now that, if \(G\) has a weighted \(k\)constructible subgraph \(H\), then \(\chi _w(G)\ge k\). First, observe that \(\chi _w(G)\ge \chi _w(H)\). Then, we just have to show that \(\chi _w(H)\ge k\). The proof is by induction on the number of Hajós’ operations applied to obtain \(H\).
If \(H\) is isomorphic to a graph \(K^k_i \in \mathcal K ^k_i\), for some \(i\in \mathbb N \), then its weighted chromatic number is trivially \(k\), since it is a complete graph whose sum of weights is equal to \(k\).
Suppose then that \(H\) was obtained by the Weighted Identification of two nonadjacent vertices \(a\) and \(b\) of a weighted \(k\)constructible graph \(H^{\prime }\) into a vertex \(a \circ b\). By the induction hypothesis, \(H^{\prime }\) has a weighted chromatic number of value at least \(k\). Suppose, by contradiction, that \(\chi _w(H) < k\) and let \(c\) be an optimal weighted coloring of \(H\). Then, a coloring \(c^{\prime }\) of \(H^{\prime }\) can be obtained from \(c\), by assigning to \(a\) and \(b\) the color assigned to \(a \circ b\) in \(c\), and letting all the other vertices of \(H^{\prime }\) be assigned to the same color they have been assigned in \(c\). Observe that, except for the color \(i\) of \(a \circ b\), for all the other colors \(j\), \(rep_{c^{\prime }}(j) = rep_c(j)\). For the color \(i\), the vertex \(rep_c(i)\) has weight greater than or equal to the weight of \(a \circ b\), that is greater than or equal to the weight of \(a\) and \(b\). Therefore, the coloring \(c^{\prime }\) has weight equal to the coloring \(c\), that is less than \(k\). This contradicts the hypothesis of \(\chi _w(H^{\prime })\ge k\).
Finally, suppose that \(H\) was obtained from weighted \(k\)constructible graphs \(H_1\) and \(H_2\) using the Weighted Hajós’ Sum on the edges \((a_1,b_1)\) and \((a_2,b_2)\) from \(H_1\) and \(H_2\), respectively. Let \(a_1 \circ a_2\) be the vertex of \(H\) obtained by the identification of \(a_1\) e \(a_2\). Suppose, by contradiction, that \(\chi (H) < k\), while \(\chi (H_1) \ge k\) and \(\chi (H_2) \ge k\). Consider an optimal weighted coloring \(c\) of \(H\). Observe that either \(c(a_1 \circ a_2)\ne c(b_1)\) or \(c(a_1 \circ a_2)\ne c(b_2)\) (because \(b_1\) and \(b_2\) are adjacent). Without loss of generality, suppose that \(c(a_1 \circ a_2)\ne c(b_1)\). Then, consider now the restriction \(c^{\prime }\) of \(c\) to \(H_1\), assigning to \(a_1\) the color of \(a_1 \circ a_2\). We have that, for every color class \(C_j\) of \(c^{\prime }\), the weight of \(rep_{c^{\prime }}(j) \le rep_c(j)\) (including the color class of \(a_1\), because the weight of \(a_1\) is less than or equal to the weight of \(a_1 \circ a_2\)). Consequently, \(w(c^{\prime }) \le w(c) < k\), contradicting the hypothesis that \(\chi _w(H_1) \ge k\). \(\square \)
Conclusions
Ore [15] has proved that the Hajós construction can be simplified. He has shown that by using only one operation that collapses the two Hajós operations, one may construct any \(k\)colorable graph from complete graphs of order \(k\).
It is not difficult to see that the same simplification can be done for the weighted case. It is just necessary use of the same adaptation we did whenever two vertices \(u\) and \(v\) are identified, i.e., the weight of the new vertex must be the maximum value between the weight of \(u\) and the weight of \(v\).
Moreover, by extending the ideas of Urquhart [16] for the nonweighted case, it is also not hard to establish the equivalence between the class of the weighted \(k\)constructible graphs and the class obtained by using the adapted Ore’s operation described above.
Finally, there is a well known problem that is to study the complexity of the construction of \(k\)chromatic graphs of a given size by Hajós operations [9, 10, 13]. Since the Vertex Coloring Problem is a particular case of Weighted Coloring, it is obvious that the complexity of this problem in the weighted case is as hard as in the nonweighted one and can also be left as open question.
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Partially supported by CNPq/Brazil (Conselho Nacional de Desenvolvimento Científico e Tecnológico), FUNCAP/Brazil (Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico) and INRIA/France (Institut Nationale de Recherche en Informatique et Automatique), project numbers INR004600014.01.00/11, PRN004000040.01.00/10 and CNPq 202049/20124.
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Araujo, J., Linhares Sales, C. A Hajóslike theorem for weighted coloring. J Braz Comput Soc 19, 275–278 (2013). https://doi.org/10.1007/s131730120098y
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DOI: https://doi.org/10.1007/s131730120098y
Keywords
 Graph coloring
 Hajós’ theorem
 Weighted coloring
 Max coloring