Quasi-total Roman domination in graphs
Suitberto Cabrera-Garcia, Abel Cabrera-Martinez, Ismael G. Yero

TL;DR
This paper introduces the quasi-total Roman domination number in graphs, exploring its properties and computational aspects, expanding the understanding of domination functions in graph theory.
Contribution
It defines the quasi-total Roman domination number and initiates the study of its combinatorial and computational properties.
Findings
Defined the quasi-total Roman domination number.
Analyzed its combinatorial properties.
Explored computational aspects.
Abstract
A quasi-total Roman dominating function on a graph is a function satisfying the following: - every vertex for which is adjacent to at least one vertex for which , and - if is an isolated vertex in the subgraph induced by the set of vertices labeled with 1 and 2, then . The weight of a quasi-total Roman dominating function is the value . The minimum weight of a quasi-total Roman dominating function on a graph is called the quasi-total Roman domination number of . We introduce the quasi-total Roman domination number of graphs in this article, and begin the study of its combinatorial and computational properties.
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Taxonomy
TopicsAdvanced Graph Theory Research · Graph theory and applications · Limits and Structures in Graph Theory
Quasi-total Roman domination in graphs
Suitberto Cabrera-García1, Abel Cabrera-Martínez2, Ismael G. Yero3,111Corresponding author.
1 Universitat Politécnica de Valencia
Departamento de Estadística e Investigación Operativa Aplicadas y Calidad
Camino de Vera s/n, 46022 Valencia, Spain.
2 Universitat Rovira i Virgili
Departament d’Enginyeria Informàtica i Matemàtiques
Av. Països Catalans 26, 43007 Tarragona, Spain.
3 Universidad de Cádiz
Departamento de Matemáticas, Escuela Politécnica Superior de Algeciras
Av. Ramón Puyol s/n, 11202 Algeciras, Spain.
Abstract
A quasi-total Roman dominating function on a graph is a function satisfying the following:
- •
every vertex for which is adjacent to at least one vertex for which , and
- •
if is an isolated vertex in the subgraph induced by the set of vertices labeled with 1 and 2, then .
The weight of a quasi-total Roman dominating function is the value . The minimum weight of a quasi-total Roman dominating function on a graph is called the quasi-total Roman domination number of . We introduce the quasi-total Roman domination number of graphs in this article, and begin the study of its combinatorial and computational properties.
Keywords: quasi-total Roman domination number; Roman domination number; total Roman domination number.
2000 Mathematical Subject Classification : 05C69
1 Introduction
Domination in graphs is a classical topic, and nowadays one of the most active areas of research in graph theory. This fact can be seen for instance through more than 1600 articles published in the topic (more than 1000 of them in the last 10 years), according to the MathSciNet database with the queries: “domination number” or “dominating sets”. A high number of concepts, open problem, research lines are nowadays open and being dealt with. The two books [8, 9], although a little not updated by now, contain a large number of the most important and classical results in the topic before this new century. One of the topics which is intensively studied concern the so-called Roman domination, which is a domination version arising from some historical roots coming from the ancient Roman Empire. This article deals precisely with this style of domination.
We consider as a non directed graph with vertex set having neither loops nor multiple edges. A dominating set of is a subset of vertices such that every vertex not in is adjacent to at least one vertex in . The minimum cardinality of a dominating set is called the domination number of and is denoted by . This concept has many applications to several fields, since it naturally arises in facility location problems, in monitoring communication, or in electrical networks. A first variant of it is as follows. A total dominating set of (whether it has no isolated vertex) is a set of vertices of such that every vertex is adjacent to a vertex in . Every graph without isolated vertices has a total dominating set, since is such a set. The total domination number of , denoted by , is the minimum cardinality of a total dominating set. Many variants (like the total domination for instance) of the basic concepts of domination have appeared in the literature. We refer to [8, 9] for a survey of the area. Moreover, for more information on total domination, we suggest the recent book [11] or the latest survey [10].
A variation of domination called Roman domination was formally introduced in graph theory, by Cockayne et al. in [6], based on some works from ReVelle [14, 15] and Stewart [17]. Also see ReVelle and Rosing [16] for an integer programming formulation of the problem. The concept of Roman domination can be formulated in terms of graphs as follows. A Roman dominating function (RDF for short) on a graph is a vertex labeling such that every vertex with label [math] has a neighbor with label . For a RDF , let for . Since this three sets determine , we can equivalently write (or simply if there is no confusion). The weight of a RDF on is the value , which equals . The Roman domination number of is the minimum weight of a RDF on . A RDF on a graph with minimum weight will be referred to as a -function.
As a variation of Roman domination (and also as another variation of domination), Liu and Chang [12] have introduced the concept of total Roman domination in graphs although in a more general setting. In a more specific style, the total Roman domination number was first presented and deeply studied in [1]. A total Roman dominating function (TRDF) on a graph with no isolated vertex, is a Roman dominating function on such that the set induces a subgraph without isolated vertices. The total Roman domination number is the minimum weight of a TRDF on . A TRDF with minimum weight in a graph is a -function.
Although the concept of total Roman domination number (as stated above) is very natural and several works has been already done on it, there is a fact which makes that its “defensive” features (according to the historical arising point of view) are notably increased to just achieve the “total domination” property. Consider for instance the graph drawn in Figure 1.
In the graph given in Figure 1, the “defensive” features of both labelings are increased in order to have the “total domination property” of the function. That is, in one side, vertices labeled with one are not exactly “in a dangerous” situation since they have label one, and no other “attacking” vertex “around”, or in second hand, there are two adjacent vertices labeled with two, and one of them has only one other neighbor. Thus, in some sense, one might consider allowing some not totally dominated vertices in a labeling whether the situation would be appropriate. For instance, a possible efficient (with respect to the sum of the weights assigned to the vertices) labeling having some partial total domination features of the graph of Figure 1 is shown in Figure 2. In connection with this situation, in this work we center our attention into some kind of a weaker version of the total Roman domination parameter, or a stronger version of the standard Roman domination one.
A quasi-total Roman dominating function (QTRDF) on a graph is a function satisfying the following:
- •
every vertex for which is adjacent to at least one vertex for which , and
- •
if is an isolated vertex in the subgraph induced by the set of vertices labeled with 1 and 2, then .
The weight of a QTRDF is the value . The minimum weight of a QTRDF on is called the quasi-total Roman domination number of and is denoted by .
In this work we introduce the concept above and begin with the study of its combinatorial and computational properties. In this sense, we next describe some basic terminology and notation that we shall need throughout our exposition and for the remaining basic terminology and notation on graph theory not given here, the reader is referred to [18].
We denote the vertex set and the edge set of a graph by and respectively. The subgraph induced by is denoted by . The complement of a graph is denoted by . For any vertex of a graph , denotes the set of all neighbors of in , and the degree of is . The minimum and maximum degree of a graph are denoted by and , respectively. For a subset , let and . For a graph , let . A vertex is a -private neighbor of if . The -private neighborhood of , denoted , is the set of all -private neighbors of . The distance between two vertices is denoted by .
If is a non-connected graph with connected components , where each component has order at least two and each component is a singleton, then it is not difficult to observe that
[TABLE]
In view of this fact, from now we only consider connected graphs, although we will not explicitly mention it, unless the state of the situation will require to involved not connected graphs.
2 Primary combinatorial and computational results
It is not difficult to see that any TRDF is also a QTRDF, as well as, a QTRDF is also a RDF. In concordance, the following chain of inequalities directly follows.
[TABLE]
We first observe that the differences and can be as large as possible. To this end, we consider the graph , which is obtained as follows. We begin with a singleton vertex . Next we add, copies of the graph drawn in Figure 3, and join with an edge the vertex with the vertex of each added copy of .
We consider the following functions defined on the graph .
- •
: it assigns two to each vertex , , of every copy of , one to the vertex of every copy of and to the central vertex , and zero otherwise.
- •
: it assigns two to each vertex , , of every copy of , one to the vertices of every copy of and to the central vertex , and zero otherwise.
- •
: it assigns two to each vertex , , of every copy of , one to the vertices of every copy of and to the central vertex , and zero otherwise.
Observe that is a RDF, is a TRDF and is a QTRDF, and so, , and . On the other hand, by making some observation on the construction, we deduce that such functions above are of minimum weight, which means we have equalities in these stated bounds. As a consequence, one can check that the differences and can be as large as possible.
The inequalities given in (1) show lower and upper bounds for in terms of and , respectively. We next show that also lower and upper bounds for can be given, now in terms of and , respectively.
Proposition 1**.**
Let be a graph without isolated vertices.
- (i)
If is any -function, then . 2. (ii)
If is any -function, then .
Proof.
Clearly, if we choose one neighbor with minimum weight of each vertex and label it with one, then we obtain a QTRDF of with weight at most . Similarly, if we take one neighbor with minimum weight of each vertex and label it with one, then we obtain a TRDF of with weight at most . ∎
We next give some families of graphs where the bounds above are achieved. Consider a graph without isolated vertices. We next add pendant vertices to each vertex of and we also multisubdivide each edge of with two vertices (by multisubdividing an edge we mean removing the edge and adding a path and the edges , ). We denote by the graph obtained in this way. Now, to obtain a graph from , we add pendant vertices to each vertex of and subdivide (with only one vertex) exactly one the pendant edges of every vertex of .
Remark 2**.**
Let be any graph with minimum degree at least two.
- (i)
There exists a -function such that . 2. (ii)
There exists a -function such that .
Proof.
(i) We first observe that has a unique -function of weight , where is the order of the graph , such that , and . Clearly, such described function is a RDF on , which means . On the other hand, let be any -function. If any pendant vertex of is labeled with one or two under , then the vertex adjacent to must have label 0 or 1, otherwise we can easily construct a RDF on with weight smaller than that of , which is not possible. Consequently, we consider all pendant vertices adjacent to have label one or two also. Since , by relabeling with two and its adjacent pendant vertices with zero, we obtain a new RDF with weight smaller than , a contradiction. Thus, all pendant vertices of are labeled zero under . As a consequence, every vertex must have label two, which leads to claim that all the vertices used in the multisubdivision process have label zero also. Since is arbitrarily taken, because of its forced structure, we deduce that it must be unique and must have weight .
Now, by labeling with one, exactly one neighbor of each vertex , from we obtain a QTRDF of weight and so, . Suppose now that and let be any -function. Consider the partition of the vertex set of given by the closed neighborhoods of vertices of , that is, the set . Since there are sets in this partition, there must exist a vertex such that . Since there are pendant vertices in , at least one of them must have label zero, which means and, in addition, all vertices in must have label zero. Thus, is a vertex with label two under and has no neighbor with label one or two under , which contradicts the fact that is a QTRDF. Therefore, .
(ii) By using somehow similar ideas to the proof of (i), we can deduce that with a unique -function given by , V^{\prime}_{1}=\{v\in V(G^{\prime}_{k})\,:\,\mbox{vV(G)}\} and . Observe that the vertices labeled with one have no neighbors labeled with one or two. Thus, by labeling with one the unique neighbor of every vertex in , we obtain a TRDF of weight , and so, .
On the other hand, if we suppose that , then again some relatively similar procedure as in item (i) will lead to a contradiction. Thus, , which completes the proof. ∎
It is natural to think that is related to other domination parameters of the graphs . In this sense, we now present some bounds for in terms of and , and for this, we need two known results from [5] and [1] and a new terminology. Given a set and a vertex of a graph , the external private neighborhood consists of those -private neighbors of in .
Theorem 3**.**
[5]* If is a graph without isolated vertices, then .*
Theorem 4**.**
[1]* If is a graph with no isolated vertex, then .*
Theorem 5**.**
For any nontrivial connected graph ,
[TABLE]
Furthermore,
- (i)
* if and only if ,* 2. (ii)
* if and only if , and* 3. (iii)
* if and only if and .*
Proof.
By Theorem 3 and inequality (1), we get and from inequality (1) and Theorem 4, we have .
Now, let be a -function such that is maximum. We consider and let . Notice that for every . Otherwise, if there exists a vertex such that , then there exist two vertices and such that . Notice that is adjacent to a vertex of . Hence, the function , defined by , and if , is a QTRDF on satisfying , which is a contradiction.
Now, let be a subset of such that contains exactly one vertex of for every . Observe that , and that is a total dominating set of . Thus
[TABLE]
(i) If , then , which implies that and . Therefore . The other implication is straightforward to see.
(ii) If , then and . Hence . The other implication is straightforward to see.
(iii) The proof of this item is straightforward to observe, and therefore, omitted. ∎
Since for any graph (see [11]), the theorem above leads to However, this bound can be improved as we next show.
Theorem 6**.**
Let be any graph without isolated vertices. If is a -function and , then
[TABLE]
Proof.
We consider a dominating set . Now, we construct a set in the following way. For any vertex such that , we choose one neighbor of (which exists since has no isolated vertices), and add it to . Now, the function is a QTRDF on of weight at most , and we are done for the upper bound.
Now, we prove the lower bound. Observe that is a dominating set in . Thus,
[TABLE]
which completes the proof. ∎
For the tightness of the upper bound above we consider for instance any star graph, or any path or cycle graph of order for some integer .
As we can may guess, the problem of computing the quasi-total Roman domination number of graphs is as hard as its related predecessors. The NP-completeness of the decision problem concerning was proved in [7], while a similar result was obtained in [12] for the case of . At next we prove also the NP-completeness of the decision problem related to , that is, of the next problem.
[TABLE]
In order to study the problem above from a complexity point of view, we shall make a reduction from the NP-complete decision problem concerning computing the Roman domination number of graphs, i.e., the next problem.
[TABLE]
We next introduce a graph to be used in the reduction. Consider a graph as shown in Figure 3. Now, given any graph of order , a graph is constructed as follows. For any vertex , we add a copy of the graph and the edge . By using this construction and the ROMAN DOMINATION problem, we are able to prove the NP-completeness of the QTRD problem.
Theorem 7**.**
The QTRD problem is NP-complete.
Proof.
Consider any graph of order , and the graph as described above. Let be any -function, and let be a function on defined as follows. For any vertex , . For any vertex of any copy of used to generate , if or , then ; if , for some , then ; and otherwise. We observe that every vertex labeled with zero is adjacent to a vertex labeled with two, and that any vertex labeled with two has one neighbor labeled with one or two. Thus, is a QTRDF on , which leads to .
On the other hand, assume is a -function. According to the structure of , we can readily seen that for every of any copy of , used to generate . In order to have the partial total domination property in the set , it must happen that each vertex labeled two will have a neighbor labeled one or two. In this sense, it must also be for any copy of . Moreover, also occurs. As a consequence, any vertex for which is adjacent to a vertex for which , which means that the function restricted to is a RDF on , and so, . Thus, , and therefore, the equality follows. Now, by taking , it is readily seen that if and only if , which completes the reduction. ∎
According to the result above, it clearly happens that computing the quasi-total Roman domination number of graphs is an NP-hard problem. In this sense, it is desirable to bound its value or compute the exact value for several non trivial families of graphs. We next center our attention on these goals. To this end, one first consider some algorithmic technique for finding a QTRDF of a graph. Despite it does not behave so “efficiently”, it has a positive value while giving some bounds or proving some results concerning the quasi-total Roman domination number of graphs.
In each step of Algorithm 1, the contribution of the weights assigned to the vertices over the weight of the constructed function is three. Moreover, the algorithm creates a partition of the vertex set such that , for some vertex and for every ; and induces a set of isolated vertices. In consequence, . We next find some specific cases where such bound gives some interesting consequences.
Proposition 8**.**
If a graph of order has vertices of degree larger than two such that the distance between any two of them is at least three, and the set of vertices not adjacent to a vertex , , form an independent set, then .
Proof.
By running Algorithm 1 over such graph, we notice the following facts.
- •
The algorithm makes steps.
- •
In each step, the closed neighborhood of a vertex of degree larger than two is removed.
- •
At the end of a running time, a set of isolated vertices remains (these ones not adjacent to a vertex of degree larger than two).
In consequence, we deduce that the weight of the function created by the algorithm has weight . Now, since , we deduce the upper bound. ∎
A trivial example which shows the tightness of the bound above can be easily noticed by taking any graph of order and maximum degree . In this case, we obtain which is exact as we know from Proposition 11 (i). We next present another family of graphs for which the bound above is tight.
Similarly to the graph previously defined, we define the graph as a graph obtained from a graph , but now the multisubdivision process is made with 3 vertices. In this sense, we observe that has order , where and are the order and size of the graph used to generate .
Remark 9**.**
If is a graph of minimum degree at least three, order and size , then .
Proof.
Since has order , the vertices corresponding to that ones of the original graph has degree at least three (and can be taken as the set of vertices of Proposition 8), and those vertices not adjacent to the vertices of form an independent set in , from Proposition 8 we have that
[TABLE]
On the other hand, let be any -function such the set of vertices labeled with two is of minimum cardinality. If there exists a vertex for which , then every pendant vertex adjacent to must have label at least one. Since there are at least three pendant vertices adjacent to , by some simple case analysis, we observe that one can always find a QTRDF of weight smaller than that of , which is a contradiction. Thus, every vertex satisfies . Since every vertex labeled with two needs a neighbor with label one or two, there should be at least one neighbor for every such that . Thus, since the distance in between any two vertices of is at least four, it follows for every vertex , which leads to .
If , then since , there exists a vertex (a central vertex of one path used to multisubdivide one edge of ) such that . This means that one of its two neighbors, say satisfies . Now, notice that for some , and that . Now, by relabeling the vertices and with one, we obtain a new -function with a smaller number of vertices labeled with two, which is a contradiction with our assumption. Consequently, , and so
[TABLE]
and the equality follows. ∎
We next continue with some other bounds for in terms of other parameters.
Theorem 10**.**
For any graph of order and maximum degree ,
[TABLE]
Proof.
We first prove the lower bound. Let be a -function. By definition, each vertex is adjacent to at least one vertex , and since every vertex in has a neighbor labeled with positive weight under , we must have . So, it follows
[TABLE]
Therefore, .
To prove the upper bound, we observe that, if is a vertex of maximum degree in and is a neighbor of , then the function is a QTRDF on with weight . ∎
For the particular case in which , Theorem 10 leads to , and we next prove that the only case in which is precisely whether . Moreover, since every vertex labeled with two in a QTRD must have a neighbor labeled one or two, we can readily seen that for any graph , unless is the graph .
Proposition 11**.**
For any graph of order , . Moreover,
- (i)
* if and only if is a graph of maximum degree ,* 2. (ii)
* if and only if , and* 3. (iii)
* if and only if is a path or a cycle of order at least three.*
Proof.
(i) If is a graph of maximum degree , then we can easily see that . On the contrary, assume and let be a -function. Hence, it must happen one of the following situations.
- •
and . Thus, , which means and so is a path or a cycle , and both of them have degree .
- •
and . Thus, the two vertices in are adjacent, and every other vertex not in has label zero, and so it is adjacent to the vertex in . Therefore, the vertex in has degree .
(ii) First, we assume that and let be a -function. Thus, one of the following situations occurs.
- •
and . In this case, and so, is a graph of order , and by item (i), is the path or the cycle , which satisfy that .
- •
and . Hence, exactly one vertex of the two vertices in the set is adjacent to the vertex in , and every other vertex () is adjacent to the vertex in . Thus, the vertex in , say , together with a neighbor of the vertex in not adjacent to form a total dominating set, which means . Also, since , we have that . Therefore, .
- •
and . Clearly, every vertex in is adjacent to a vertex of , and the two vertices in must be adjacent. Thus, is a total dominating set, which means . Since , we have that . Therefore, .
On the other hand, let . Notice that must have maximum degree at most . Hence, by item (i), we have that . Notice that (which is known from [1]). Therefore, , which completes the proof of (ii).
(iii) Assume is a path or a cycle of order at least three. By Theorem 10 we obtain the equality. On the other hand, let be a graph of order satisfying . If has maximum degree larger than two, then by Theorem 10, we obtain , a contradiction. Thus, has maximum degree two, which means is a path or a cycle of order at least three. ∎
Another bound for the quasi-total Roman domination number of a graph can be given in terms of the packing number of . To this end, it is said that a subset is a packing in if for every pair of vertices , . The packing number is the maximum cardinality of a packing in .
Proposition 12**.**
For any graph of order , .
Proof.
Let be a packing in . We now consider a function such that , is formed by exactly one neighbor of each vertex of together with that vertices not adjacent to any vertex in , and the remaining vertices. We can easily observe that is a QTRDF on . Since has weight , we directly deduce the bound. ∎
Clearly, the bound above is only useful whether has degree at least two. Note that precisely, if has minimum degree two, then we get , which is tight for the case of cycles. Moreover, if is a complete graph of order at least three, then and , which leads to , that is also a sharp value.
An special class of graphs for which its packing number equals its domination number is known as efficient domination graphs. Notice that in such case, the closed neighborhood centered in vertices belonging to a -set partitions the vertex set of . Thus, the next result can be deduced from the proof of Proposition 12.
Proposition 13**.**
For any efficient domination graph , .
3 A Nordhaus-Gaddum bound
In 1956 (see [13]), Nordhaus and Gaddum began some research idea, which has further became very useful and popular in the investigation concerning graph theory, and probably more intensively, in the area of domination in graphs. They gave lower and upper bounds on the sum and product of the chromatic numbers of a graph and its complement in terms of the order of the graph. From this seminal work, several results concerning or for some given parameter of graphs have been appeared. In consequence, searching Nordhaus-Gaddum type inequalities has centered the attention of a large number of investigations. For interested readers, we suggest the fairly complete survey [3]. For the specific case of Roman domination parameters, we suggest for example the works [2, 4].
By using Theorem 10, we can deduce a Nordhaus-Gaddum bound for the quasi-total Roman domination number (only for the sum version). To this end, we first notice the following. Since it cannot happen that a graph of order , and its complement , will both have maximum degree , the sum will be equal to six only whether has order three. Note that by Proposition 11, for any graph of order , and the equality is attained only for graphs of maximum degree . In consequence, in our next result we just consider graphs of order at least four. Moreover, not connected graphs are considered (in contrast with our comment from the introductory section). From now on, we use the following families of graphs.
- •
: All the graphs of order and maximum degree , that have exactly one vertex of degree and at least one vertex of degree one.
- •
: All the graphs which are obtained as the complement of a graph in .
We also remark that in this section we involve the study of not connected graphs as well.
Theorem 14**.**
If is a graph of order , then . Moreover,
- (i)
* if and only if , and*
- (ii)
* if and only if is .*
Proof.
Since for any graph of order at least three and it cannot happen that and its complement , will both have maximum degree , by using Proposition 11, the lower bound trivially follows. On the other hand, if has maximum degree zero, then is a complete graph, and so . If has maximum degree one (which means ), then has maximum degree at least . In such case, we can readily observe that . Thus . Since and can be exchanged without loss of generality, from now on we may assume that both and have maximum degree at least two. Hence, from Theorem 10, we have that
[TABLE]
and the proof of the upper bound is completed.
(i) If , then it is straightforward to observe that .
On the contrary, we assume now that . If has maximum degree zero, then is a complete graph, which means , and so, (or equivalently ). If has maximum degree one, then its complement has maximum degree at least . If has maximum degree , then , which means and this is not possible. If has maximum degree , then , which means (or equivalently ). Hence, without loss of generality, we may assume that both and have maximum degree at least two.
If has maximum degree , then . Thus, , and so . Since has at least one isolated vertex (a vertex of degree in ), say , it must happen that induces a graph of maximum degree , which means there must be a vertex of degree one in (note that must have label one under any QTRDF on and so, the quasi-total Roman domination number of the graph induced by is three). If has only one vertex of degree , then . If has exactly two vertices, say , of degree , then again and are isolated vertices in , which means they must have label one under any QTRDF on . Thus, the subgraph induced by must have only two vertices, and they should be adjacent, since has only two vertices of degree . Consequently, is a complete graph of order four minus one edge, and (its complement), is given by the union of two isolated vertices and . If has three vertices, say , of degree , then as before and are isolated vertices in , and they should have label one under any QTRDF on . Thus, we can deduce that has only one vertex, and consequently, is and is an edgeless graph of order four. If has more than three vertices of degree , then we obtain a contradiction.
Finally, without loss of generality we may assume that both and have maximum degree smaller than . But then, by using Proposition 11, we obtain that , which is not possible, and this completes the proof of (i).
(ii) It is clear that . On the other hand, assume that . Hence, there should be equalities in the chain of inequalities (2), which leads to , or equivalently that is a -regular graph for some integer . Also, without loss of generality, we may assume that . If , then and ( is a complete graph), and so , a contradiction. If , then we can readily see that and ( is an -regular graph). Thus, , which is again a contradiction. If , then is a cycle, and by Proposition 11 (iii), . If is , then , which is not possible. If is , then is also , and we get the equality . If , then always contains two adjacent vertices that dominates the vertex set of . Consequently, , which leads to , by also using Proposition 11 (iii), and this is a contradiction.
From now on we assume . We now consider has diameter at least three. In this sense, there are two vertices, say , such that . Let and . Hence, we observe that the function is a QTRDF of weight . Thus . On the other hand, since has diameter at least three, there are two adjacent vertices in that dominates , and this means . As a consequence, , and since , we obtain that , which is not possible.
Accordingly, it must happen has diameter two, and by the symmetry of the proving process, we may assume also has diameter two. Let be any vertex of . We now consider any vertex at distance two from (such vertex exists because has maximum degree smaller than ), and let be the number of neighbors in common between and . Clearly . Let and let . We observe that the function is a QTRDF of weight on . Now, the function is a QTRDF of weight on . Thus, , which leads to . Consequently, we obtain that any vertex not in has at least neighbors in .
Consider now a vertex . Let be the number of neighbors in common between and . Clearly . Let . We observe that the function is a QTRDF of weight on . If , then and the function has weight four and we can construct a QTRDF of weight six on . Thus, , which means but there are no graphs of order at most five satisfying the requirements at this point. Hence, we may assume and consider a vertex .
Now, the function is a QTRDF of weight on . Thus, , which leads to . Consequently, we obtain that any vertex has at least neighbors in , which is equivalent to say that has at most two neighbors outside .
By using the conclusions above, we shall now count the edges between vertices in and outside in two directions. That is, it must happen , which leads to . Since , we finally deduce that and, as a consequence, ( is -regular). Since , it must be , but there are not -regular graphs of order , and this completes the proof of item (ii). ∎
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