1. Introduction
The following approach to the protection of a graph was proposed by Cockayne et al. [
1]. Suppose that one or more entities are stationed at some of the vertices of a graph
G and that an entity at a vertex can deal with a problem at any vertex in its closed neighbourhood. In general, an entity could consist of an observer, a robot, a guard, a legion, and so on. Informally, we say that
G is protected under a given placement of entities if there exists at least one entity available to handle a problem at any vertex. The simplest cases of graph protection are those in which you can locate at most one entity per vertex. In such a case, the set of vertices containing the entities is said to be a dominating set.
In a graph , a vertex dominates itself and its neighbours. A subset is said to be a dominating set of G if S dominates every vertex of G, while S is said to be a total dominating set if every vertex is dominated by at least one vertex in . As usual, the neighbourhood of a vertex will be denoted by . Now, a set is said to be a secure (total) dominating set if S is a (total) dominating set and for every there exists such that is a (total) dominating set. In the case of secure (total) domination, the graph is deemed protected by a (total) dominating set and when an entity moves (to deal with a problem) to a neighbour not included in the (total) dominating set, the new set of entities obtained from the movement of the entity is a (total) dominating set which protects the graph as well.
The minimum cardinality among all dominating sets of G is the domination number of G, denoted by . The total domination number, the secure domination number and the secure total domination number of G are defined by analogy, and are denoted by , and , respectively.
The domination number and the total domination number have been extensively studied. For instance, we cite the following books [
2,
3,
4]. The secure domination number, which has been less studied, was introduced by Cockayne et al. in [
1] and studied further in several works including [
5,
6,
7,
8,
9,
10], while the secure total domination number was introduced by Benecke et al. in [
11] and studied further in [
9,
12,
13,
14].
In this work we study the relationships between the secure total domination number and other graph parameters. The article is organized as follows. In
Section 2 we define key terms and additional notation. In
Section 3 we show that
where
denotes the independence number of
G. Since
, this result improves the bound
obtained in [
14].
Section 4 is devoted to the study of relationships between the secure total domination number and other domination parameters. In particular, we outline some known results that become tools to derive new ones. Finally, in
Section 5 we obtain several bounds on the secure total domination number in terms of the matching number and other graph parameters.
2. Some Additional Concepts and Notation
All graphs considered in this paper are finite and undirected, without loops or multiple edges. The minimum degree of a graph G will be denoted by and the maximum degree by . As usual, the closed neighbourhood of a vertex is denoted by . We say that a vertex is a universal vertex of G if . By analogy with the notation used for vertices, for a set , its open neighbourhood is the set , and its closed neighbourhood is the set . We also define the following sets associated with .
The
internal private neighbourhood of
v relative to
S is defined by
The
external private neighbourhood of
v relative to
S is defined by
The
private neighbourhood of
v relative to
S is defined by
The subgraph induced by will be denoted by , while the graph obtained from G by removing all the vertices in (and all the edges incident with a vertex in S) will be denoted by . If H is a graph, then we say that a graph G is H-free if G does not contain any copy of H as an induced subgraph.
We denote the set of leaves of a graph G by , and the set of support vertices (vertices adjacent to leaves) by . The set of isolated vertices of will be denoted by .
We will use the notation , and for cycle graphs, empty graphs and path graphs of order n, respectively.
Let be a function. For any we define the subsets of vertices and we identify f with the three subsets of induced by f. Thus, in order to emphasize the notation of these sets, we denote the function by . Given a set , we define , and the weight of f is defined to be .
A (total) weak Roman dominating function is a function satisfying that is (total) dominating set and for every vertex there exists such that the function , defined by , and whenever , satisfies that is (total) dominating set. Notice that is a secure (total) dominating set if and only if there exits a (total) weak Roman dominating function such that and .
The
weak Roman domination number, denoted by
, is the minimum weight among all weak Roman dominating functions on
G. By analogy we define the
total weak Roman domination number, which is denoted by
. The weak Roman domination number was introduced by Henning and Hedetniemi [
15] and studied further in several works including [
7,
8,
10,
16,
17], while the total weak Roman domination number was recently introduced in [
12].
A dominating set of cardinality will be called a -set. A similar agreement will be assumed when referring to optimal sets associated with other parameters used in the article. As usual, we will use the acronyms TDS and STDS to refer to total dominating sets and secure total dominating sets, respectively.
A TDS
X is said to be a
total outer-connected dominating set if the subgraph induced by
is connected. The
total outer-connected domination number of
G, denoted by
, is the minimum cardinality among all total outer-connected dominating sets of
G. This parameter was introduced by Cyman in [
18] and studied further in [
19,
20,
21].
An independent set of a graph G is a subset of vertices such that no two vertices in the subset represent an edge of G. The maximum cardinality among all independent sets is the independence number of G, denoted by . Analogously, two edges in a graph G are independent if they are not adjacent in G. A set of pairwise independent edges of G is called a matching of G. The matching number , sometimes known as the edge independence number, is the maximum cardinality among all matchings of G.
For the remainder of the paper, definitions will be introduced whenever a concept is needed.
3. Secure Total Domination & Independence
Klostermeyer and Mynhardt [
9] in 2008, established the following upper bound.
Theorem 1. [
9]
For any graph G with no isolated vertex, In 2017 Duginov [
14] answered the following open question posed by Klostermeyer and Mynhardt [
9] p. 282: Is there a graph
G such that
, where
? Duginov provided a negative answer to this question by confirming the suspicions of Klostermeyer and Mynhardt that
Theorem 2. [
14]
For any graph G with no isolated vertex, We now proceed to improve the bound above.
Since , the following result improves Theorem 2.
Theorem 3. For any graph G with no isolated vertex, Proof. Let
D be a
-set. Let
I be an
-set such that
is at its maximum among all
-sets. Notice that for any
,
We next define a set
of minimum cardinality among the sets satisfying the following properties.
- (a)
.
- (b)
For every vertex ,
- (b1)
if , then ;
- (b2)
if , and , then either or ;
- (b3)
if and , then ;
- (b4)
if , then or .
Since D and I are dominating sets, from (a) and (b) we conclude that S is a TDS. From now on, let . Observe that there exists a vertex , as is an -set. To conclude that S is a STDS, we only need to prove that is a TDS of G.
First, notice that every vertex in is dominated by some vertex in , because S is a TDS of G. Let . Now, we differentiate two cases with respect to vertex u.
Case 1. . If , then there exists some vertex in which dominates w, as D is a dominating set. Suppose that . If , then is an -set such that , which is a contradiction. Hence, , which implies that there exists some vertex in which dominates w.
Case 2. . We first suppose that . If , then w is dominated by some vertex in . If , then by and the fact that in this case all vertices in form a clique, w is dominated by some vertex in . From now on, suppose that . If , then there exists some vertex in which dominates w. Finally, we consider the case in that .
We claim that
. In order to prove this claim, suppose that there exists
. Notice that
. By (
1) and the fact that all vertices in
form a clique, we prove that
, and so
, which is a contradiction. Therefore,
and, as a result,
In order to conclude the proof, we consider the following subcases.
Subcase 2.1.
. By (
2),
, and the fact that all vertices in
form a clique, we conclude that
w is adjacent to some vertex in
, as desired.
Subcase 2.2.
and
. By (
2),
, and the fact that all vertices in
form a clique, we show that
w is dominated by some vertex in
, as desired.
Subcase 2.3. and . In this case, by we deduce that w is dominated by some vertex in , as desired.
According to the two cases above, we can conclude that is a TDS of G, and so S is a STDS of G. Now, by the the minimality of , we show that . Therefore, , which completes the proof. □
The bound above is tight. For instance, it is achieved for any corona product graph , where is an arbitrary graph and is the disjoint union of k complete nontrivial graphs. Notice that , and . Another example is the graph G shown in Figure 2, where , and .
4. Secure Total Domination & Other Kinds of Domination
For any graph G with no isolated vertex, is a secure total dominating set, which implies that . All graphs achieving this trivial bound were characterized by Benecke et al. as follows.
Theorem 4. [
11]
Let G be a graph of order n. Then if and only if is an independent set. Since every secure total dominating set is a total dominating set, it is clear that
. All graphs satisfying the equality were characterized by Klostermeyer and Mynhardt in [
9].
Theorem 5. [
9]
If G is a connected graph, then the following statements are equivalent. The result above is an important tool to characterize all graphs with . To begin with, we need to state the following basic tool.
Proposition 1. If H is a spanning subgraph (with no isolated vertex) of a graph G, then Proof. Let be the set of all edges of G not belonging to the edge set of H. Let and, for every , let and . Since any STDS of is a STDS of , we can conclude that . Hence, . □
Let
be the family of graphs
H of order
such that the subgraph induced by three vertices of
H contains a path
and the remaining
vertices have degree two and they form an independent set.
Figure 1 shows a graph belonging to
.
Theorem 6. Given a graph G, the following statements are equivalent.
Proof. Let D be a -set and assume that . By Theorem 5, G has at most one universal vertex. Let and notice that contains a path , as D is a total dominating set of G. Since D is a STDS of G, we observe that for every . Hence, in this case, G contains a spanning subgraph belonging to .
Conversely, since G has at most one universal vertex, by Theorem 5 we have that . Moreover, it is readily seen that for any . Hence, if is a spanning subgraph of G, by Proposition 1 it follows that . Therefore, . □
We now consider the relationship between and .
Theorem 7. [
9]
Let G be a graph with no isolated vertex.- (i)
If , then .
- (ii)
If , then .
A natural question is if the bound
, due to Klostermeyer and Mynhardt, can be improved with
. The example given in
Figure 2 shows that, in general, this inequality does not hold.
In Theorem 10 we will show some cases in which . To this end, we need to outline the following two known results.
Theorem 8. [
12]
The following inequalities hold for any graph G with no isolated vertex.- (i)
.
- (ii)
.
Although the problem of characterizing all graphs with
remains open, some particular cases were described in [
12].
Theorem 9. - (i)
if and only if .
- (ii)
For any -free graph G with no isolated vertex,
- (iii)
For any graph G with no isolated vertex and maximum degree ,
From Theorems 8 and 9 (ii), and using the fact that , we can show that the bound established in Theorem 7 can be improved for any -free graph.
Theorem 10. For any -free graph G with no isolated vertex, The previous bounds are tight. They are achieved, for instance, for the wheel graph and for , which is the join of and . For these two graphs we have that , and .
To derive a consequence of Theorem 10 we need to state the following result due to Burger et al. [
6].
Theorem 11. [
6]
For any connected graph of order n and , Notice that . Hence, from Theorems 10 and 11 we immediately have the next result.
Theorem 12. For any connected -free graph G of order n and , The bound above is tight. It is achieved for , and , where equals and 5, respectively.
The following result shows us a relationship between the secure total domination number and the total outer-connected domination number.
Theorem 13. Let G be a graph of order n. If , then Proof. We assume that . Let D be a -set and S a -set. Since D is a TDS of G, is a TDS as well. Furthermore, every vertex is dominated by some vertex , and is a TDS of G. Hence, is a STDS of G, which implies that . Now, since is a connected nontrivial graph, we have that . Therefore, , which completes the proof. □
The bound above is tight. For instance, it is achieved for the wheel graph and for . In both cases and .
The following result was obtained by Favaron et al. in [
20].
Theorem 14. [
20]
For any graph G of order n, diameter and minimum degree , The following result is a direct consequence of combining the result above and Theorem 13.
Theorem 15. For any graph G of order n, diameter two and minimum degree , The bound above is achieved for the wheel graph and for . As we already know, in both cases .
5. Secure Total Domination & Matching
To begin this section, we proceed to introduce new definitions and terminology. Given a matching of a graph G, let be the set formed by the end-vertices of edges belonging to . Given a vertex , we say that is the partner of v if . Observe that if is the partner of v, then v is the partner of .
A maximum matching is a matching of cardinality . The following lemmas show some properties of maximum matchings.
Lemma 1. Let be a maximum matching of a graph G. The following statements hold.
- (i)
for every .
- (ii)
If is adjacent to , then , where is the partner of v.
Proof. Let . If there exists a vertex , then the set is a matching of G of cardinality greater than , which is a contradiction. Hence, and (i) follows.
Now, we suppose that there exists and a vertex . Let be the partner of v. If there exists a vertex , then the set is a matching of G of cardinality greater than , which is a contradiction. Hence, and (ii) follows. □
Lemma 2. For any graph G with , there exists a maximum matching such that for each vertex there exists such that .
Proof. Let be a maximum matching of G such that is maximum. It is easy to see that the maximality of leads to . Suppose that there exists a support vertex x such that and . Let . Notice that the set is a maximum matching of G and , which is a contradiction. Therefore, the result follows. □
The next result provides a relationship between the secure total domination number, the matching number and some special vertices of a graph.
Theorem 16. For any graph G with minimum degree , Proof. Let be a maximum matching satisfying Lemma 2. Let . Notice that and . Hence, .
Notice that that S is a TDS of G. We shall show that S is a STDS of G. Now, let . Since and is a dominating set of G, there exists a vertex which is adjacent to v. Let . We will see that is a TDS of G as well. Since S is a TDS of G, every vertex is adjacent to some vertex belonging to . Let and observe that as .
If , then by Lemma 1 (i) we have that . Hence there exists a vertex in which is adjacent to w, as . Now, if , where is the partner of u, then w is adjacent to its partner, which belongs to . Finally, if , then by Lemma 1 (ii) we have that and since it follows that .
Thus, is a TDS of G, as desired. Therefore, S is a STDS and so . □
The bound above is tight. For instance, it is achieved for the graph shown in
Figure 3. In this case,
,
,
,
and
.
From now on we consider the case of graphs with minimum degree .
Definition 1. Given a maximum matching of a graph G with , we construct a set as follows.
- (i)
.
- (ii)
for all .
- (iii)
for all , where is the partner of x.
We proceed to show some properties of .
Lemma 3. Let be a maximum matching of a graph G with . The following statements hold.
- (a)
If is adjacent to , then u is adjacent to , where v is the partner of .
- (b)
is a dominating set of G.
- (c)
If , then its partner satisfies that .
Proof. Let . By Lemma 1 (i) we have that . If there exists a vertex , then by Lemma 1 (ii) we have that (where is the partner of ). By item (iii) in the definition of it follows that and (a) holds.
From item (a) we deduce that . Now, by definition of , every vertex in is dominated by its partner, which belongs to . Therefore, is a dominating set of G and so (b) follows.
Now, let and its partner. If , then there exist two vertices . By Lemma 3 (a) we have that , which is a contradiction by Lemma 1 (ii). Therefore, and (c) follows, which completes the proof. □
Theorem 17. For any graph G with minimum degree , Proof. Let n be the order of G. Let be a vertex of degree and . It is readily seen that the set is a STDS of G and, as a consequence, . Thus, the inequality holds for .
From now on we suppose that . Let be a maximum matching of G. Since , there exist two vertices . By Lemma 3 (b) we have that is a dominating set of G, which implies that there exists a vertex . Since , by Lemmas 1 and 3 (a), there exists a vertex and also we deduce that and . Let . Hence . Let such that and let be the set of partners of the vertices in Z.
Let , where and are the partners of and respectively. Notice that is a maximum matching of G and the set satisfies the conditions given in Definition 1.
We will prove that is a STDS of G. By Lemma 3 (b) we have that is a dominating set of G, which implies that every vertex in is dominated by some vertex in . Also, every vertex in Z is dominated by either x or y, which belong to S, and every vertex in satisfies that its partner belongs to S as well. Hence S is a TDS of G.
Let and let , where either is the partner of v if , or is a vertex belonging to if (notice that in this case, exists since is a dominating set). We only need to prove that is a TDS of G. Since S is a TDS of G, every vertex in has at least one neighbour in . Now, let and consider the following two cases.
Case 1. . Since , by Lemma 1 (i) we deduce that there exists some vertex in .
Case 2. . In this case, we analyse three subcases. If , then u is dominated by either x or y, which belong to . If , then as , by Lemma 3 (c) it follows that . As in this case , we deduce that . Finally, if , then its partner belongs to .
Hence, is a TDS of G, as desired. Therefore, S is a STDS of G and , which completes the proof. □
The bound above is tight. For instance, it is achieved for the graphs and . In both cases , and .
Cockayne et al. in [
8] obtained the following bound on the secure domination number in terms of the order and the matching number.
Theorem 18. [
8]
If a graph G of order n does not have isolated vertices, then Therefore, by Theorems 10 and 18 we deduce the following result.
Theorem 19. For any -free graph G with minimum degree and order n, The bound above is tight. For instance, it is achieved for the graphs and , as for these graphs we have , and .
The
k-
domination number of
G, denoted by
, is another well-known parameter [
3]. The following theorem is a contribution of DeLaViña et al. in [
22].
Theorem 20. [
22]
Let k be a positive integer. For any graph G with minimum degree , Since every -set is a secure dominating set of G, it is immediate that , and so Theorems 10 and 20 lead to the following result.
Theorem 21. For any -free graph G with minimum degree , The bound above is tight. For instance, it is achieved for the wheel graph and for , as in both cases , and .
6. Conclusions
This article is a contribution to the theory of protection of graphs. In particular, it is devoted to the study of the secure total domination number of a graph. We study the properties of this parameter in order to obtain its exact value or general bounds. Among our main contributions we highlight the following.
We show that
. Since
, this result improves the bound
obtained in [
14].
We characterize the graphs with .
We show that if G is a -free graph G with no isolated vertex, then
We study the relationship that exists between the secure total domination number and the matching number of a graph. In particular, we obtain the following results.
- (a)
for any graph G of minimum degree one.
- (b)
for every graph G of minimum degree .
- (c)
for every -free graph G of minimum degree .
All bounds obtained in the paper are tight.