Abstract
A digraph (D) is symmetric if is an arc of D and if is also an arc of D. If a symmetric digraph is primitive and contains d loops, then it is said to be a symmetric primitive digraph with d loops. The m-competition index (generalized competition index) of a digraph is an extension of the exponent and the scrambling index. The m-competition index has been applied to memoryless communication systems in recent years. In this article, we assume that represents the set of all symmetric primitive digraphs of n vertices with d loops, where We study the m-competition indices of and give their upper bounds, where Furthermore, for any integer m satisfying we find that the upper bounds of the m-competition indices of can be reached.
1. Introduction
In this paper, we follow the terminology and notation used in [,,]. Let represent a digraph (directed graph) with n vertices, where the vertex set is the arc set is Multiple arcs are not allowed, but loops are allowed. A walk from u to v in a digraph (D) is a sequence of vertices () and a sequence of arcs (), where the vertices and arcs are not necessarily distinct. If then the walk is said to be a closed walk from u to A cycle refers to a closed walk from u to v with different vertices except for The length of a walk is the number of arcs in the walk. Let denote a walk of length t from u to Let (for short, ) represent the distance from vertex u to vertex v in that is, the length of the shortest walk from u to
Let be any pair of vertices in a digraph (D). If there exists a positive integer (k) such that there exists a walk of length k from u to v in we call such a digraph (D) primitive. The smallest such k is denoted as and it is called the exponent of Let the greatest common factor of the length of all cycles in D be As is well known, D is primitive if and only if D is strongly connected and
As a generalization of the competition index in [], the author of [] introduced the m-competition index. For a primitive digraph (D) with n vertices and an integer (m) satisfying the m-competition index (generalized competition index) of D is denoted as which is the smallest integer (k) such that for every pair of vertices (u and v), there are m different vertices () in D that satisfy and for each
Several studies [,,] have investigated exponents and their generalization. The scrambling index of a primitive digraph (D) is denoted as , as introduced in [,]. For a primitive digraph (D), we have where is the 1-competition index of D. The scrambling index of primitive digraphs has been studied by some researchers [,,].
For a primitive digraph (D), according to [], we define the following notation:
Then, we have
Based on the definitions above, it is easy to derive that In addition, we have Thus, the m-competition index of a digraph is an extension of the exponent and the scrambling index (the 1-competition index).
There has been interest recently in a generalized competition index [,,,,,]. Suppose a memoryless communication system is represented by a primitive digraph of n vertices; then, the m-competition indices represent the longest first time for m vertices to know all 2 bits of the information (see [,]). For literature on the generalized -scrambling indices, see [,,]. Sombor index was studied in [,].
For any pair of vertices () of a digraph (D), if and then we call D a symmetric digraph. If a symmetric digraph (D) is primitive, then we call D a symmetric primitive digraph. If a symmetric primitive digraph (D) contains exactly d loops, then we call D a symmetric primitive digraph with d loops.Let denote the set of all symmetric primitive digraphs of order n with d loops, where We can treat a symmetric digraph (possibly with loops) as an undirected graph. For some studies on graphs, see [,,].
In the following, for convenience, we use undirected graph terms such as edge, edge set, etc., to describe a symmetric digraph. For a symmetric digraph (a graph, G), let represent the set of all edges in The notation indicates that there is an edge in G with end vertices u and
In this paper, let represent the largest integer not greater than and let represent the smallest integer not less than For any symmetric primitive digraph (D) with n vertices, we know that its exponent () satisfies []. In Theorem 3.2 of [], let the minimum odd cycle length of the symmetric primitive digraph be 1 and . Combined with Theorem 4.1 in [], Proposition 1 is obtained, which gives the upper bounds of the 1-competition index of
Proposition 1.
Let Let n and d be integers such that and Then,
- (1)
- If then
- (2)
- If then
Symmetry is widely used in the field of graph theory. Clearly, a symmetric primitive digraph with d loops is a special kind of digraph. Using a graph-theoretic approach, for any integer m satisfying we get the upper bounds of the m-competition indices of such symmetric digraphs.
2. Preliminary
In this section, for the convenience of the following research, we provide some notations and definitions, as well as Observations 1 and 2.
Let If graph satisfies and then is called a subgraph of Let The subgraph is composed of H as the vertex set and all the edges with both end vertices in H as the edge set, which is called the induced subgraph of G from and recorded as
Let For any pair of vertices in the notation is used to indicate that there exists a walk of length t from x to If then Let (abbreviated as ) represent a walk from x to y in G, represent the length of , and represent the set of all vertices on the walk () (including ). Let represent the number of all elements in the set is used to denote the set of d loop vertices in and is used to denote the set of all non-loop vertices in Then, If the walk passes through a loop vertex, we say that Otherwise, we say that We define where the vertex and the set For obviously,
Let After deleting any edge in G that satisfies if the obtained graph () satisfies (that is to say, is not connected), then we call In fact, if then G is a tree with loops. If let be any pair of vertices in G such that ; then, there is only one unique path from x to Furthermore,
Let and Suppose satisfies and For any m that satisfies then Thus, assuming we study the upper bounds on we need only to study the graphs in Thus, we provide the following definitions (1–3).
Definition 1.
Let and Let be any pair of vertices in G. We define the following notation:
- (1)
- Let (for short, ) denote the path from x to y in and let represent the length of Let denote the set of all vertices on the path (including ). If let us record
- (2)
- If the path from x to y passes through a loop vertex (including x or y as a loop vertex), we say that Otherwise, we say that
Definition 2.
Let and . We define the following notation and label all vertices of G as follows:
- (1)
- Suppose that the longest path in G is denoted by The number of vertices in the path (P) is denoted by Let us assume that the path (P) passes through the vertices sequentially. Then, the diameter of G is that is, We record then and Let represent the set of all vertices in the path (P), that is,
- (2)
- For any vertex, since ; then, there exists a unique integer (h) such that where and Then, we assume For any vertex , we assume and where That is, and are the same vertex. Let where and Let If we record the unique vertex in as If we record the vertices in as In the following, for convenience, if we take any vertex in that satisfies the given conditions and record the vertex as which does not affect the conclusion of this paper.
- (3)
- Let
Definition 3.
We define the following notation:
- (1)
- Let and where and
- (2)
- Let or where and
Remark 1.
According to Definition 1, if for any vertex in then denotes the unique path of length from x to According to Definition 2, P is the longest path in and l is the number of vertices on the path (P). Therefore, for any vertex , we have , where and Moreover, we have According to Definition 3, for then
In the next following, we assume that and m are any integers satisfying Let be any pair of vertices of Let a be any integer satisfying
Observation 1.
Let If there exists a walk from x to y satisfying then there exists a walk of length s from x to y for any integer
Proof.
If and , suppose a walk () from x to y through a loop vertex denoted by where u is the loop vertex and Since u is a loop vertex, then the length of the walk () from u to u is Therefore, the length of the walk () is Moreover, is any integer satisfying
If or , assume that Then, the length of the walk () is
Therefore, the conclusion holds. □
Observation 2.
Let Let be integers satisfying Suppose that vertex v in G satisfies For any vertex z in G that satisfies then
Proof.
Since then where a is any integer satisfying The length of the walk () is Then, Similarly, Therefore, we have □
3. Some Results of the -Competition Indices of
In this section, for we divide into and For in order to obtain the upper bounds of we need to discuss where are any pair of vertices in For any vertex in we consider cases in which and and and To facilitate the proof presented below, we propose the following propositions (2,3) and Lemma 1.
Proposition 2.
Let Suppose that and where v is a vertex of G and h is an integer satisfying Then, where
Proof.
Since we have If then where any vertex If then where any vertex In addition, we have For according to Observation 2, then Then, we have where Next, we consider
If l is odd, for any vertex , we have In addition, we have According to Observation 2,
We consider that l is even. For any vertex such that we have For any vertex such that we have Moreover, Furthermore, according to Observation 2, we have Then, whether l is odd or even, we have Therefore, for we have
Therefore, the conclusion holds. □
Proposition 3.
Let Suppose that u is a vertex that satisfies and Suppose and where v is a vertex of G and h is an integer satisfying Then, where
Proof.
Since we have If then where any vertex If then where any vertex In addition, we have According to Observation 2, where Then, we have where Next, we consider
For any vertex , we have Moreover, Furthermore, according to Observation 2, we have Then, we have Therefore, for we have
Therefore, this conclusion is clearly established. □
Lemma 1.
Let If the walks such that and then where
Proof.
Let According to Observation 1, there exists a walk of length s from y to for any integer . Similarly, there exists a walk of length t from x to for any integer . Therefore, we have Then, For any vertex , where Moreover, According to Observation 2, where Then, we have where
For any vertex , we have Moreover, Furthermore, according to Observation 2, we have Then, where
Therefore, the conclusion holds. □
3.1. Results of
Corollary 1.
Let If and then where
Proof.
We have Similarly, In addition, According to Lemma 1, we have where Therefore, the conclusion holds. □
Let If then , and Now, let us consider the case in which For the sake of research, we propose Definition 4.
Definition 4.
Let , and let . We define the following notation:
- (1)
- Let be non-negative integers satisfying and We assume are two different loop vertices closest to where Then, , and Moreover, we know that and If let be the vertex such that and
- (2)
- Let z be any vertex such that Let where For any vertex and , the walk from z to v through is denoted by that is, The walk from z to v through is denoted by that is, The shorter of the two walks ( and ) is denoted as
Remark 2.
According to Definition 4, if then If then In Definition 4(2), suppose and Then, the walk from z to through is denoted by that is, The walk from z to through is denoted by that is,
Proposition 4.
Let and Let z be any vertex such that Then, for any vertex , there exists a walk () such that and If the equation holds, then
Proof.
Note that and we consider , which are defined in Definition 4. Let us assume that We have Then,
For similar to there are two different walks from z to , each passing through a loop vertex, and the sum of the lengths of the two walks is not greater than
For any vertex v satisfying we have Similar to for any vertex v satisfying we can conclude that Moreover, we have and and Therefore,
If Since we have Then, Therefore, we have Furthermore, □
Corollary 2.
Let , and let Let z be any vertex such that . Then,
- (1)
- If then there exist two different walks () such that and and and
- (2)
- If then there exist two different walks () such that and and and
Proof.
(1) Let us assume that There exists a walk () from z to that is There exists another walk () from z to that is Obviously, , and
- (2)
- The proof is similar to (1), so we can omit it.
□
Lemma 2.
Let and Suppose that and Then, where
Proof.
Since the vertex y satisfies then According to Definition 4, are two different loop vertices closest to where According to Proposition 4, the walk from y to satisfies Moreover, Since we conclude that Then, If we have According to Lemma 1, the conclusion holds. Next, we consider Then,
Case 1:
According to Corollary 2(1), there exists a walk () from y to and There exists a walk () from y to and Note that and There exists a walk () from x to that is Similarly, there exists a walk () from x to that is Note that and
Then, , and According to Proposition 2, this conclusion holds.
Case 2:
According to Corollary 2(2), there are two different walks () through a loop vertex. We have and Similar to there exists a walk () through a loop vertex, and satisfies Similarly, there exists a walk () through a loop vertex, and satisfies
Note that , and According to Proposition 3, this conclusion holds. □
Lemma 3.
Let and Suppose that , and Then, where
Proof.
Because then Since then is not a loop vertex. According to Definition 4, are two different loop vertices closest to where According to Proposition 4, there exists a walk () from y to that satisfies Moreover, Since then
If we have According to Lemma 1, the conclusion holds. If , and The following proof is similar to the proof of Lemma 2. According to Corollary 2, we have Furthermore, If we conclude that If we conclude that Therefore, this conclusion holds.
Next, we consider , and Then, We can draw the following two conclusions: if n is odd, then or if n is even, then
Case 1: n is odd, and
Then, , and Since we have or Let us assume that Since then Therefore, we have Note that According to Corollary 2(1), we have Furthermore, we have , and According to Proposition 2, this conclusion holds. For it is similar to so we can omit it.
Case 2: n is odd, and
Then, , and We have Moreover, we know that , and If then If then or Since then the path from x to goes through a loop vertex. In addition, we have Then, Note that According to Corollary 2, Furthermore, we have For we have For any vertex , we have Therefore,
Case 3: n is even.
Then, , and Moreover, we have and Then, Since we have Note that According to Corollary 2(1), we have Furthermore, we have , and According to Proposition 2, this conclusion holds. □
Lemma 4.
Let Suppose that , and . Then, where
Proof.
According to Definition 4, are two different loop vertices closest to where It is known that Let where Then, the length of the path is Then, Then, Similarly, Furthermore, we have
Case 1:
Then, Let v be any vertex satisfying According to Proposition 4, there exists a walk such that Moreover, Similarly, we have Then, , and According to Proposition 2, this conclusion holds.
Case 2:
Then, Let any vertex . According to Proposition 4, there exists a walk () such that Moreover, Similarly, we have Then, , and According to Proposition 3, this conclusion holds. □
Lemma 5.
Let where n is even. If and then where
Proof.
Let be the nearest loop vertices to where and If we have If , then there exists a walk () such that and Therefore, Similarly, we have Furthermore, we have For any integer r such that we have Therefore, the conclusion holds. □
3.2. Results of
In order to obtaining results of we need to provide the following proposition, its corollary, and Definition 5.
Proposition 5.
Let and Let be a subgraph of G such that is connected. Suppose that the set satisfies , and suppose that Then, where r is any integer such that
Proof.
Since where r is any integer such that
Let Then, there exists a path () from z to w in that satisfies and the path does not pass through other vertices in , except where and Let us denote z as We denote the vertex sequence of path as It is easy to obtain and where i is any integer such that Therefore, for any integer g satisfying there exists such that
Next, we label the vertices in according to their distance from Let Let , and where We label the vertices in according to in order and label the vertices in as Moreover, we have For any vertex , we have where Moreover, According to Observation 2, where Furthermore, we have Therefore, Therefore, the conclusion holds. □
Corollary 3.
Let and Let , and denote that and are connected. Let and Let and satisfy and where If then where r is any integer such that
Proof.
We know that are the induced subgraphs from respectively. Since then where r is any integer such that
If or then We have Therefore, the conclusion holds.
Next, we consider and It is known that is a subgraph of G, and is connected. Furthermore, it is known that , and According to Proposition 5, we have where Similarly, we have where In addition, , and where Therefore, we have where r is any integer such that □
Definition 5.
Let , and let z be any vertex of G. If in Proposition 6 and Lemma 6, we define the following notation:
- (1)
- Suppose that ; then,
- (2)
- If is not a loop vertex. Let be the nearest loop vertex to , where and If there are at least two loop vertices nearest to on , we take any of their vertices as which does not affect the conclusion of Proposition 6 and Lemma 6. The walk from z to is recorded as that is,
- (3)
- If and , we assume that then, Let be the nearest loop to , where and If we know that The walk from z to is recorded as that is, where If the walk () from z to is
- (4)
- Let represent the cases of and and respectively. When let Then, and are connected. When let When let Let When let Then, , and where Moreover, for we have
Proposition 6.
Let Suppose that Then,
- (1)
- If then
- (2)
- If then , and
Proof.
(1) We consider ; then, We have Similarly, Then, , and Furthermore, we have
- We consider ; then, is not a loop vertex, and According to Definition 5(2), is the nearest loop vertex to Then, the path from to does not pass through any loop vertex other than Therefore, we have Because we have Similarly, Then, , and Further, we have
- (2)
- We consider ; then, is not a loop vertex, and According to Definition 5, we have and we haveTherefore, Note that , and Then, Similarly, we haveIn addition, the length of the walk is We have The length of the walk is Therefore, Then, we have , and Furthermore, we have , and
□
Lemma 6.
Let Then,
- (1)
- If then
- (2)
- If then where
Proof.
Since or let us assume that Since then The case of is similar to that of so we omit it. When we know that and are connected. Moreover, , and According to Proposition 6, if then If then , and
- (1)
- We know that , and For next, we can conclude that Case a and Case b hold.Case a: IfWe consider According to Corollary 3, where Hence, we have whereNow, let us consider the case in which and In Proposition 5, let and Then, For any vertex , we have Moreover, Therefore, According to Proposition 5, we have where r is any integer such that Therefore, for we haveIn particular, let us consider the case in which If for any vertex , we have Moreover, Therefore, If we have whereSince for we have then Therefore, the conclusion holds.We consider According to Corollary 3, where Hence, we have whereNow, let us consider the case in which and In Proposition 5, let and It is known that Then, For any vertex , we have Moreover, Thus, Therefore, According to Proposition 5, we have where r is any integer such that Therefore, for we haveIn particular, let us consider the case in which If for any vertex , we have Moreover, Therefore, If we have whereSince then Therefore, the conclusion holds. As demonstrated above, for if we have whereCase b: If ,We consider According to Corollary 3, where Moreover,We consider According to Corollary 3, where Moreover,Hence, for we have where
- (2)
- We consider If then If then Therefore, for we have If n is odd, then If n is even, then , and Whether n is odd or even, we have or Combining in Case a and Case b, we have whereWe consider Note that If n is odd, then If n is even, then , and Whether n is odd or even, we have or Combining in Case a and Case b, we have where
□
4. Upper Bounds of the -Competition Indices
In this section, combined with some conclusions presented in Section 3, we derive the upper bounds of the m-competition indices of where See Theorems 1–3 below.
Theorem 1.
Let and Then,
Proof.
We only need to consider Let Let us assume that u is the loop vertex. In Proposition 5, let and Then, , and We have Then, According to Proposition 5, we have where r is any integer such that Therefore, where Therefore, the conclusion is clearly established. Next, we consider
Since we have According to Corollary 1, Lemma 2, Lemma 4, and Lemma 6, we conclude that this conclusion holds. □
Theorem 2.
Let and n be odd. If then where
Proof.
We only need to consider Suppose that We consider and If , we have Moreover, according to Proposition 4, there exists a walk () such that and Therefore, we have According to Lemma 1, we have where If the conclusion holds according to Lemma 3. Combining Corollary 1, Lemma 4, and Lemma 6, the conclusion holds. □
Theorem 3.
Let and n be even. Then,
- (1)
- If then where
- (2)
- If then where
Proof.
We only need to consider
- (1)
- According to Corollary 1, Lemmas 3–4, and Lemma 6, this conclusion holds.
- (2)
- Case 1:
Case 1.1: , and
If according to Lemma 5, the conclusion holds. If we have , and Then, where
Case 1.2: , and
Then, , and If the proof is similar to that of Lemma 2, and we have where If then We can conclude that , or
If according to Lemma 5, the conclusion holds. Next, we consider or Whether or we have Then, Furthermore, According to Corollary 2, we can obtain Furthermore, we have For For any vertex , we have Therefore,
Case 1.3: , and
According to Lemma 4, we have where
Case 2:
According to Lemma 6, we have where □
5. The -Competition Indices of
In this section, the m-competition indices of are given, where is defined as follows:
Definition 6.
Let Let , and let where
Remark 3.
According to the above definition, the conclusions in hold:
(1) If then and are not loop vertices.
(2) If n is odd and , then is a loop vertex.
(3) If n is even and then and are not loop vertices.
(4) If n is even and then are two loop vertices.

Figure 1.
The for .

Figure 2.
The for n is even, and .
The authors of [] studied the generalized competition indices of several classes of primitive digraphs and obtained the m-competition indices of or isomorphic to where According to the conclusions reported in [] about the m-competition indices of , we propose Theorems 4–6. To facilitate the understanding of Theorems 4–6, we provide remarks below each theorem.
Theorem 4.
If then
Remark 4.
If then is shown in Figure 1. For we have For we have For then Therefore, Theorem 4 can be obtained.
Theorem 5.
If n is odd and , then where
Remark 5.
Suppose that n is odd and For we have Therefore, Theorem 5 can be obtained.
Theorem 6.
Let n be even; then,
- (1)
- If then where
- (2)
- If then where
Remark 6.
Suppose that n is even. If then is shown in Figure 2. For we have Furthermore, If for we have Therefore, Theorem 6 can be obtained.
According to Theorems 4–6, for any m satisfying the upper bounds of the m-competition indices of can be reached.
6. Conclusions and Discussion
In this paper, for any m satisfying we studied the upper bounds of the m-competition indices of and obtained the upper bounds. Furthermore, we found that the upper bounds can be reached. In Theorems 1–3, let the upper bounds of the 1-competition indices obtained are consistent with the case in in Proposition 1. Furthermore, for according to Theorem 1, if then the upper bound of is related to and According to Theorems 2 and 3, whether n is odd or even, if then the upper bound of depends on but not on
In future work, for some special digraphs, in addition to upper bounds of the generalized competition indices, the set of generalized competition indices deserves to be studied. It would be meaningful to solve these problems in future studies.
Funding
This work was supported by the Shanghai Institute of Technology (YJ2021-55).
Data Availability Statement
Not applicable.
Acknowledgments
We would like to thank the editor and the anonymous referees for their valuable suggestions and comments, which greatly improved the article.
Conflicts of Interest
The author declares no conflict of interest.
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