1. Introduction
Given a graph , the open neighbourhood of a vertex  is defined to be . The open neighbourhood of a set  is defined by , while the external neighbourhood of X, or boundary of X, is defined as .
The differential of a subset 
 is defined as 
 and the differential of a graph 
G is defined as
      
These concepts were introduced by Hedetniemi about twenty-five years ago in an unpublished paper, and the preliminary results on the topic were developed by Goddard and Henning [
1]. The development of the topic was subsequently continued by several authors, including [
2,
3,
4,
5,
6,
7]. Currently, the study of differentials in graphs and their variants is of great interest because it has been observed that the study of different types of domination can be approached through a variant of the differential which is related to them. Specifically, we are referring to domination parameters that are necessarily defined through the use of functions, such as Roman domination, perfect Roman domination, Italian domination and unique response Roman domination. In each case, the main result linking the domination parameter to the corresponding differential is a Gallai-type theorem, which allows us to study these domination parameters without the use of functions. For instance, the differential is related to the Roman domination number [
3], the perfect differential is related to the perfect Roman domination number [
5], the strong differential is related to the Italian domination number [
8], the 2-packing differential is related to the unique response Roman domination number [
9]. Next, we will briefly describe the case of the strong differential and then introduce the study of the quasi-total strong differential. We refer the reader to the corresponding papers for details on the other cases.
For any 
, the external private neighbourhood of 
x with respect to 
X is defined to be
      
We define the set .
The strong differential of a set 
X is defined to be
      
      while the strong differential of 
G is defined to be
      
As shown in [
8], the problem of finding the strong differential of a graph is NP-hard, and this parameter is closely related to several graph parameters. In particular, the theory of strong differentials allows us to develop the theory of Italian domination without the use of functions.
In this paper, we study the quasi-total strong differential of 
G, which is defined as
      
We will show that this novel parameter is perfectly integrated into the theory of domination. In particular, we will show that the quasi-total strong differential is closely related to several graph parameters, including the domination number, the total domination number, the 2-domination number, the vertex cover number, the semitotal domination number, the strong differential, and the quasi-total Italian domination number. As a consequence of the study, we show that the problem of finding the quasi-total strong differential of a graph is NP-hard.
The paper is organised as follows. 
Section 2 is devoted to establish the main notation, terminology and tools needed to develop the remaining sections. In 
Section 3 we obtain several bounds on the quasi-total strong differential of a graph and we discuss the tightness of these bounds. In 
Section 4 we prove a Gallai-type theorem which shows that the theory of quasi-total strong differentials can be applied to develop the theory of Italian domination, provided that the Italian dominating functions fulfil an additional condition. Finally, in 
Section 5 we show that the problem of finding the quasi-total strong differential of a graph is NP-hard.
  2. Notation, Terminology and Basic Tools
Throughout the paper, we will use the notation  if G and H are isomorphic graphs. Given a set , the subgraph of G induced by X will be denoted by , while (for simplicity) the subgraph induced by  will be denoted by . The minimum degree, the maximum degree and the order of G will be denoted by ,  and , respectively.
A leaf of G is a vertex of degree one. A support vertex of G is a vertex which is adjacent to a leaf, while a strong support vertex is a vertex which is adjacent to at least two leaves. The set of leaves, support vertices and strong support vertices of G will be denoted by ,  and , respectively.
A dominating set of 
G is a subset 
 such that 
 for every 
. Let 
 be the set of dominating sets of 
G. The domination number of 
G is defined to be,
      
The domination number has been extensively studied. For instance, we cite the following books [
10,
11,
12].
We define a -set as a set  with . The same agreement will be assumed for optimal parameters associated to other characteristic sets of a graph. For instance, a -set will be a set  such that  and .
As described in 
Figure 1, 
 is a 
-set while 
 is not a 
-set, as 
. In contrast, both 
X and 
 are 
-sets. Another 
-sets are 
 and 
.
A total dominating set of 
G is a subset 
 such that 
 for every vertex 
. Let 
 be the set of total dominating sets of 
G. The total domination number of 
G is defined to be,
      
The total domination number has been extensively studied. For instance, we cite the book [
13].
A 
k-dominating set of 
G is a subset 
 such that 
 for every vertex 
. Let 
 be the set of 
k-dominating sets of 
G. The 
k-domination number of 
G is defined to be,
      
For a comprehensive survey on 
k-domination in graphs, we cite the book [
10] published in 2020. In particular, there is a chapter, Multiple Domination, by Hansberg and Volkmann, where they put into context all relevant research results on multiple domination concerning 
k-domination that have been found up to 2020.
In particular, the following result will be useful in the study of quasi-total strong differentials.
Theorem 1 ([
14]). 
Let r and k be positive integers. For any graph G with , A semitotal dominating set of a graph 
G with no isolated vertex, is a dominating set 
D of 
G such that every vertex in 
D is within distance two of another vertex in 
D. This concept was introduced in 2014 by Goddard et al. in [
15]. Let 
 be the set of semitotal dominating sets of 
G. The semitotal domination number of 
G is defined to be
      
A set  is a vertex cover of G if every edge of G is incident with at least one vertex in C. The vertex cover number of G, denoted by , is the minimum cardinality among all vertex covers of G. Recall that the largest cardinality of a set of vertices of G, no two of which are adjacent, is called the independence number of G and it is denoted by . The following well-known result, due to Gallai, states the relationship between the independence number and the vertex cover number of a graph.
Theorem 2 (Gallai’s theorem, [
16]). 
For any graph G, The concept of a corona product graph was introduced in 1970 by Frucht and Harary [
17]. Given two graphs 
 and 
, the corona product graph 
 is the graph obtained from 
 and 
, by taking one copy of 
 and 
 copies of 
 and joining by an edge every vertex from the 
-copy of 
 with the 
-vertex of 
. Notice that 
 and 
.
The following result will be one of our main tools.
Theorem 3 ([
8]). 
For any graph G, the following statements hold.- (i) 
- There exists a -set which is a dominating set of G. 
- (ii) 
 For the remainder of the paper, definitions will be introduced whenever a concept is needed. In particular, this is the case for concepts, notation and terminology that are used only once or only in a short section.
  3. General Results
To begin this section we present some bounds on the quasi-total strong differential of a graph, and then we discuss the tightness of the bounds.
Theorem 4. For any graph G, the following statements hold.
- (i) 
- (ii) 
 Proof.  The inequality  is straightforward, as for any -set X we have .
We proceed to prove 
. Let 
D be a 
-set such that 
, which exists by Theorem 3. Now, we define 
 as a set of minimum cardinality among all supersets 
 of 
D such that 
 for every vertex 
. Since 
D is a dominating set, 
. Moreover, observe that 
, by the minimality of 
. Therefore,
        
        as required.
To prove lower bound  we only need to observe that for any -set S we have .
Finally, to complete the proof of (ii) we only need to combine the previous bounds with Theorem 3. □
 Corollary 1. Let G be a graph. If  or there exists a -set which is a total dominating set, then .
 In order to show some classes of graphs with 
 and 
, we consider the case of corona graphs. It is not difficult to see that if 
 has no isolated vertex and 
 is a non trivial graph, then
      
In addition, if 
 is a graph with at least two isolated vertices, then
      
Next we discuss some cases where the lower bounds given in Theorem 4 are achieved.
Theorem 5. For any graph G, the following statements are equivalent.
- (i) 
- . 
- (ii) 
- . 
 Proof.  Assume 
. By Theorem 3, there exists a set 
 which is a 
-set. Now, we define 
 as a set of minimum cardinality among all supersets 
 of 
D such that 
 for every vertex 
. Obviously, 
. As we have shown in the proof of Theorem 4,
        
        which implies that 
, and so 
. On the other side, 
, by Theorem 3. In summary,
        
Therefore, , and so .
Conversely, assume 
. By Theorems 3 and 4 we have
        
Therefore,  and, as a result, . □
 To continue the study, we need to establish the following lemma.
Lemma 1. For any graph G, there exists a -set X which is a dominating set of G and  for every .
 Proof.  Let 
D be a 
-set and 
. Since 
 and 
,
        
        which implies that 
 is a 
-set, as 
. Obviously, 
 is a dominating set.
Now, let 
 such that 
 for every 
 and 
 for every 
. Let 
. Since 
 and 
,
        
Therefore, X is a -set, as . Clearly,  for every . □
 We are now able to characterize the graphs with .
Theorem 6. For any graph G, the following statements are equivalent.
- (i) 
- . 
- (ii) 
- . 
- (iii) 
- . 
 Proof.  Assume . By Lemma 1, there exists a set  which is a -set. Hence, , which implies that . Since , we deduce that  and . Therefore, D is a 2-dominating set of G and so, , which leads to .
Conversely, from  Theorem 4 we deduce that  implies that .
Finally, the equivalence (ii)⟷(iii) was previously established in [
8]. □
 By the result above we have that if , then . However, the converse does not hold. For instance, as we will see in Corollary 2, if G is a path or a cycle, then .
We next consider some cases of graphs satisfying .
Theorem 7. Let G be a graph. If   or G is a claw-free graph, then  Proof.  By Lemma 1, there exists 
 which is a 
-set and 
 for every 
. Assume that 
. We define a set 
 as follows.
        
Notice that 
 and 
 for every 
. Hence, 
 and 
, which implies that 
 is a 2-dominating set of 
G and
        
Therefore, , and we deduce the equality by the lower bound  given in Theorem 4.
Now, assume that 
G is a claw-free graph. Observe that in this case 
 is a clique for every 
, as  
. Let 
 such that 
 and 
 for every 
. Notice that 
 is a 2-dominating set of 
G. Hence,
        
Therefore, by the lower bound  given in Theorem 4 we conclude the proof. □
 The following result is a direct consequence of Theorem 7 and the well-known equalities 
 and 
 due to Fink and Jacobson [
18].
Corollary 2. By Theorems 1 and 4 we derive the following result.
 Theorem 8. Given a graph G, the following statements hold.
- (i) 
- If , then  
- (ii) 
- If , then  
 For instance, for any cubic graph with  we have , and  for any corona graph of the form  we have 
We next discuss the relationship between the quasi-total strong differential and the semitotal domination number.
Theorem 9. Given a graph G with no isolated vertex, the following statements hold.
- (i) 
- (ii) 
-  if and only if . 
- (iii) 
-  if and only if one of the following conditions holds. - (a)
- . 
- (b)
-  and there exist a -set D and a vertex  such that  and D is a 2-dominating set of . 
 
 Proof.  By Lemma 1, there exists a dominating set 
D which is a 
-set. In addition, since 
G has no isolated vertex, 
D is also a semitotal dominating set of 
G, which implies that 
. Hence,
        
Therefore, (i) follows and  if and only if D is a 2-dominating set and . Now, since , every 2-dominating set of cardinality  is a -set. Therefore, (ii) follows.
Finally, we proceed to prove (iii). We first assume that 
. By (i) we deduce that 
. Also, notice that
        
        which implies that 
. Since 
, we obtain that 
. We distinguish these two cases.
Case 1. . In this case, we have that D is a 2-dominating set of G of cardinality , which implies that . Therefore, . Conversely, if , then by (i) and Theorem 4 we have that , and so (ii) leads to .
Case 2. . If , then  and . In addition, since , we have that D is a -set and a 2-dominating set of . Therefore, (b) holds. Conversely, assume that (b) holds. Since , from (i) and (ii) we conclude that , and so the -set satisfying (b) is a -set. □
 Next we derive some lower bounds on .
Theorem 10. For any graph G with every component of order at least three,  Proof.  Let S be a -set such that  and .
 Now, we define  as a set of minimum cardinality among all subsets  of  that satisfy the following conditions.
- (a)
-  for every vertex  or  with . 
- (b)
-  for every vertex  such that  and . 
Notice that . Now, let  the set of isolated vertices of the graph . Hence, by definition of  we deduce that .
Now, we define 
 as a set of minimum cardinality among all subsets 
 of 
 such that 
 for every vertex 
. It is clear that if 
, then 
, while if 
, then 
 is a 
-set. As 
 has no isolated vertex, we have that
        
Hence, in any case  because .
Now, let 
. Notice that 
, 
 and 
. Hence,
        
Therefore, the result follows. □
The bound above is tight. For instance, it is achieved by the graphs shown in 
Figure 2.
Corollary 3. For any graph G with ,  The bound above is achieved by any corona graph of the form , where  is a nontrivial graph. In this case, 
Theorem 11. For any graph G with no isolated vertex,  Proof.  Let 
 be a 
-set and 
 a 
-set. Let 
. As 
 and 
, we deduce that 
 and 
. Hence,
        
        as desired. □
 The bound above is tight. 
Figure 3 shows a graph 
G with 
, where 
Theorem 12. For any graph G with every component of order at least three,  Proof.  Let 
S be a 
-set such that 
. Now, we define 
 such that 
 and 
 for every vertex 
. Hence, 
 is a dominating set, 
 and 
, which implies that
        
Therefore, the result follows. □
 The bound above is tight. For instance, 
Figure 3 shows a graph 
G with 
Notice that Theorems 2 and 12 lead to the following bound.
Theorem 13. For any graph G with every component of order at least three,  In particular, for graphs of minimum degree at least two we deduce the following result.
Theorem 14. For any graph G with , the following statements hold.
- (i) 
- . 
- (ii) 
- If , then . 
- (iii) 
- (iv) 
- If , then . 
 Proof.  Obviously, (i) is an immediate consequence of Theorem 13 and (iii) is derived from the fact that .
Now, since 
, every vertex cover is a 2-dominating set, which implies that 
. Thus, by  Theorem 4, if 
, then
        
Therefore, (ii) follows, and by analogy we deduce that (iii) follows. □
 The graph shown in 
Figure 4, on the left, satisfies 
. The converse of Theorem 14 (ii) does not hold. For instance, for  the right hand side graph shown in 
Figure 4 we have 
, while 
.
The graph shown in 
Figure 5 satisfies 
. We would point out that there are several cases of graphs of minimum degree one with 
Next we discuss the trivial bounds on  and we characterize the extreme cases.
Proposition 1. For any graph G of order , the following statements hold.
- (i) 
- (ii) 
-  if and only if . 
- (iii) 
-  if and only if  and . 
- (iv) 
-  if and only if . 
- (v) 
-  if and only if  or  and . 
 Proof.  We first proceed to prove (i). If , then it is straightforward that . We assume that . Let  be a vertex of maximum degree,  and . Notice that either  or . Hence, , as desired. Since  every -set has cardinality at least two, and  so .
We next proceed to prove (ii). if , then  by (i). Now, if , then for any vertex x of maximum degree we have that  is a 2-dominating set, and so , which is a contradiction. Therefore, . Obviously, if , then .
Now, we proceed to prove (iii). First, we assume that . By (i) and (ii) we deduce that . Hence, Theorem 7 leads to . Conversely, if  and , then Theorem 7 leads to . Therefore, (iii) follows.
To prove the remaining statements, we take a -set , which exists due to Lemma 1.
We next proceed to prove (iv). First, assume that . In this case, we deduce that , which implies that  and . Therefore, D is a -set and so, . On the other side, if , then by Theorem 4 and (i) we deduce that .
Finally, we proceed to prove (v). If either  or  and , then by Theorem 4 and the statements (i) and (iv) we deduce that . Conversely, assume that . From (iv) we deduce that . Moreover, we deduce that , which implies that either  and  or  and . If   and , then  as , while if  and , then D is a 2-dominating set, and so . □
 To conclude this section, we discuss the case of join graphs.
Proposition 2. For any two graphs G and H we have the following statements.
- (i) 
- . 
- (ii) 
-  if and only if  or . 
- (iii) 
-  if and only if one of the following holds. -  and . 
-  and, in addition,  or . 
-  and  and . 
 
- (iv) 
-  if and only if  and . 
 Proof.  By Proposition 1 (i) we deduce that . For any set , where  and , we have that . Thus, (i) follows. Finally, by (i) and Proposition 1 (iv) and (v), we deduce the remaining statements, which completes the proof. □