Abstract
has various applications in a large variety of problems. The signless Laplacian Estrada index of a hypergraph H is defined as , where are the eigenvalues of the signless Laplacian matrix of H. In this paper, we characterize the unique r-uniform unicyclic hypergraphs with maximum and minimum .
Keywords:
signless Laplacian Estrada index; signless Laplacian matrix; r-uniform unicyclic hypergraph; semi-edge walk MSC:
05C65
1. Introduction
1.1. Basic Concepts
Let be a hypergraph, and be the vertex set and edge set, and be the power set of . If each edge has precisely r vertices , H is a r-uniform hypergraph. If , H is an ordinary graph. Let be the degree of a vertex v, which is the number of edges containing v. Let , and be the maximum, minimum and average degrees.
The cyclomatic number of a graph is defined as , where E is the number of edges, P is the number of parts and N is the number of nodes. For a r-uniform connected hypergraph H, the cyclomatic number of H is . If (resp. 1), the corresponding r-uniform connected hypergraph H is exactly a hypertree (resp. unicyclic hypergraph). Denote as the r-uniform hyperstar with one common vertex for all edges. (resp. ) denotes the set of r-uniform hypertrees (resp. unicyclic hypergraph) with n vertices. For , denotes the hypergraph obtained from H by deleting v and all the edges incident with v. For a subset with , denotes the subgraph of H induced by A, where has the vertex set A and the edge set . For a vertex with , we apply a v-shrinking on e when we just remove v from the edge e.
For , a -semi-walk [1] is a vertex–edge alternative sequence , where ( is not necessarily distinct) for . If for , the -semi-walk is called a -walk. Further, we name the -walk as a -path, if are distinct vertices and are distinct edges. If for , the degree of v is 1, we call the -path a loose -path. A loose -path is also called a loose cycle. We call the smallest length of all -paths the distance between u and v. For a hypergraph , its incidence matrix is , where
and its adjacent matrix is , where and for . The signless Laplacian matrix of H is . It is obvious that for and for . The signless Laplacian Estrada index [1] of a hypergraph H is defined as
where are the eigenvalues of the signless Laplacian matrix . We denote by the k-th signless Laplacian spectral moment of a hypergraph H, that is, , then the signless Laplacian Estrada index can be rewritten as . From [1], we know that is exactly equal to the number of closed semi-walks of length k.
1.2. Background and Related Works
Let be a molecular graph (2-uniform hypergraph) represented by a molecular structure, where vertex set V is corresponding to the set of its atoms, and edge set E to its chemical bonds. It is widely used in theoretical chemical research and computational chemistry. A topological index is a single number, which is used to characterize some properties of the graph of a molecule structure. Topological indices are mainly used for the nonempirical quantitative structure–property/activity relationship (QSPR/QSAR) [2,3,4].
Based on the adjacency matrix A of 2-uniform hypergraph G, Estrada [5] put forward the Estrada index as follows:
where are the eigenvalues of A. Many applications in a large variety of problems on this index have been proposed. For examples, it was successfully employed to quantify the degree of folding of long-chain molecules, especially proteins [6,7], and to measure the centrality of complex (reaction, metabolic, communication, social, etc.) networks [8,9,10], network robustness against failures/attacks [11,12]. There is also a connection between the Estrada index and the extended atomic branching of molecules [13].
The signless Laplacian matrix has many positive properties, such as being symmetric, irreducible, positive semi-definite, the multiplicity of 0 as a eigenvalue of is equal to the number of bipartite connected components of G, and so on. The study on has received extensive attention by many researchers. For example, in [14], Ayyaswamy et al. generalized the definition of the Estrada index to the signless Laplacian Estrada index, many extremal and mathematics properties on this index were obtained [15,16,17,18,19,20].
Graph models are widely used to represent pairwise relationships between entities; however, real-world phenomena can be rich in multi-way relationships involving interactions among more than two entities. Then graph models do not adequately describe these types of applications [21]. Hypergraphs are generalizations of graphs in which edges may connect any number of vertices, and as such, hypergraphs are the natural model of multi-way relationships. It is natural to generalize the signless Laplacian Estrada index of graphs to hypergraphs. However, we obtained a few results on of hypergraphs. This paper is a new attempt to study on this topic and is expected to attract more and more attention in the near future. Recently, H.Y. Lu et al. [1] provided lower and upper bounds for on r-uniform hypergraphs, and characterized the hypertrees with the largest and the smallest among all r-uniform hypertrees, respectively. Along this line, in this paper, we continue to study for r-uniform unicyclic hypergraphs.
2. Preliminaries
In this section, we will introduce some lemmas to prove our main results.
In a hypergraph H, let be the set of all -semi walks of length k, and be the set of all -semi walks of length k. Denote , then , that is, the number of closed semi-walks of length k in H.
For two hypergraphs G and H with and , if for any , we say . Moreover, if and there exists some such that , then we write . Similarly, if for any , we call , further if , and there is some such that , we write .
For a hypergraph H, let . By applying the -shrinking on each edge in , denote the resulted edge by , let . For , let and , respectively. Further, denotes the hypergraph obtained from H by deleting edges in and adding edges in . Similarly, we can attain hypergraph .
Lemma 1
([1]). For a hypergraph H, let be defined as above, respectively. For and , if and , then .
and denote two disjoint connected hypergraphs and , , respectively. denotes the hypergraph obtained from and by identifying v of with w of .
Lemma 2
([1]). Let and be two disjoint connected hypergraphs with and , respectively. If , then .
Lemma 3
([1]). Let e be a cut edge of hypergraph H with and . When and , .
H is a connected r-uniform hypergraph. Let and
be two disjoint r-uniform loose paths, where . Denote as the hypergraph obtained from H, and by coalescing as a new vertex, denoted by u. Obviously, if , then (as shown in Figure 1).
Figure 1.
.
Lemma 4.
Let be a hypergraph defined as above (as shown in Figure 1). If , .
Proof.
Let be the loose paths defined in (1) and (2), respectively. In , if , , and if , . Let . After applying the -shrinking on of , the resulting hypergraph is denoted by . Let Q be the hypergraph obtained from by adding at . After applying the -shrinking on of Q, the resulting hypergraph is denoted by . In G, we have
Suppose that and . For any , W can be decomposed into , where is either a walk which consists of a -section of with length and a -section of length 1, or a walk which consists of a -section of with length and a -section of length 1, and is a -section of G with length . Then, we have
For , is isomorphic to a proper subgraph of , then we have for and for and . Furthermore, we find . Therefore, we obtain for and there exists an integer such that . Thus, we obtain . By Lemma 2, we obtain . Since and , thus we have . □
Let be the two loose paths defined in (1) and (2) respectively. For convenience, let , and , respectively. Let be an edge of a connected r-uniform hypergraph H. Denote as the r-uniform hypergraph obtained from H, and by identifying of H with of and identifying of H with of , as shown in Figure 2.
Figure 2.
.
Lemma 5.
Let be the r-uniform hypergraph as shown in Figure 2. If and , .
Proof.
If in , let . For simplicity, let . We obtain by applying the -shrinking of . Denote and , where . Since and , is isomorphic to a proper subgraph . For any , W can be decomposed into two sections according to whether it passes (namely ) or not. Then
Suppose that W passes through , then we construct a mapping f as follows:
- (i)
- If , we replace in W by ;
- (ii)
- If , we replace in W by ;
- (iii)
- If , we replace in W by .
If , we construct a mapping as follows: . Obviously, . Since is isomorphic to a proper subgraph of , is an injection but not a bijection from to .
If , we can decompose W into , where
- (i)
- is the longest -section;
- (ii)
- is the longest -section;
- (iii)
- is the longest -section;
- (iv)
- is the longest -section;
- (v)
- is the longest -section.
Now, we construct a mapping , where
- (i)
- is the longest -section;
- (ii)
- is the longest -section;
- (iii)
- is the longest -section;
- (iv)
- is the longest -section.
Then . Further, we construct a mapping ,
Obviously, and is injective but not bijective from to . Then , that is, . By Lemma 2, we have . □
Lemma 6.
Let be three integers with , and (that is, the largest integer is no more than ). In a connected r-uniform hypergraph H, let be a path with length l and , and and . Further if is even, is a loose path; if is odd, is a loose path (as shown in Figure 3). Then and for any .
Figure 3.
An illustration of graph H in Lemma 6.
Proof.
If is even, by applying the -shrinking of P, let be the component containing and be the component containing . Obviously, is a loose path and is isomorphic to a proper subgraph of .
In H, we can classify -closed walks of length into two types according to whether they pass or not. Namely, we obtain . Let W be a walk passing , where . We construct a mapping as follows: we replace for by for in W.
For , we construct a mapping as follows: let . We can check . Since is isomorphic to a proper subgraph of , is an injection but not a bijection from to .
For , we decompose W into , where and are semi-edge walks in P, and is as long as possible. Let , and we can check .
Finally, for , we can construct a mapping as follows:
Obviously, . Since is an injection but not bijective,
is an injection but not bijective from to . Then we obtain .
By the same procedure as that for being even, we can prove that Lemma 6 holds for being odd. □
Corollary 1.
For an integer , let be the unique cycle in a unicyclic r-uniform hypergraph H. Suppose that is the hypergraph obtained from H by moving edges in from to . Then .
Proof.
Let . Applying Lemma 6 for and implies that . Now the result follows from Lemma 2. □
Note that the result of Corollary 1 holds for any and because we can rewrite the cycle C as .
3. Extremal -Uniform Unicyclic Hypergraph on Minimum
In this section, we determine the extremal r-uniform unicyclic hypergraph with minimum .
Let be the class of the connected r-uniform unicyclic hypergraph with order n and unique cycle , where and . For convenience, for any , let and for and . If , it is easy to see that . Let be the components of , where for . So we can denote H by .
Lemma 7.
Let . Then for
The equality holds if, and only if, , where is a loose path of length .
Proof.
It is trivial if or 2. Suppose that .
Case 1. There is at least one vertex in with a degree of at least 3. Denote u as a vertex of a degree of at least 3. The distance is as large as possible in . Denote as all the edges containing u in H. By u-shrinking on for , denote the components by . Without loss of generality, let .
Subcase 1.1 If , , is a pendant path at u. Repeatedly by Lemma 4, we obtain a hypergraph with smaller by replacing by a pendant path P of length at u.
If , we obtain the desirable result.
Subcase 1.2 If , , is not a pendant path at u, then there is at least one edge in with at least three vertices of degree 2. We choose such an edge by requiring that is as large as possible, where for . Then, there are two pendant paths at different vertices of e; let P and Q be pendant paths at vertices and of e, respectively. Denote p and q as the lengths of P and Q. Then , and . Let , by Lemma 5, , we can obtain a hypergraph with smaller by reusing Lemma 5, where is a pendant path at u for any .
Denote as the lengths of the pendant path at u in , where and . Suppose without loss of generality that . Then , where . Let , by Lemma 5, .
We can obtain a hypergraph with smaller by attaching a pendant path P of length at u by reusing Lemma 4.
If , we obtain the desired result. Otherwise, repeating the above process on , we will obtain our desired result.
Case 2. There is no vertex with degree at least 3 in .
It is trivial for . When , similar to the proof in Subcase 1.2, we obtain the desirable result. □
Applying Lemma 7, we have the following results.
Corollary 2.
Let be a hypergraph obtained from by replacing each by a loose path with for . Then , and the equality holds if, and only if, .
Theorem 1.
Let be a connected r-uniform unicyclic hypergraph with and , where is a path attached at in for . Then
Proof.
Without loss of generality, let be the pendant path at . is the unicyclic hypergraph obtained from by moving from to . By Lemma 2 and Corollary 1, . By repeating the process on every pendant path, we conclude that . □
The following theorem shows that the extremal r-uniform unicyclic hypergraph with minimum is .
Theorem 2.
For , let H be a r-uniform unicyclic hypergraph with n vertices, then
and the equality holds if, and only if, .
4. Extremal -Uniform Unicyclic Hypergraph on Maximum
In this section, we obtain the extremal r-uniform unicyclic hypergraphs with the largest .
Lemma 8.
Let . Then
and the equality holds if, and only if, , where is a hyperstar with center and .
Proof.
It is trivial if . Now we assume .
Let be the hypergraph with largest in and the diameter of be for . Next, we prove for .
Without loss of generality, let be a diametral path of , where and .
We denote by R the component of which contains . Let . Then, we have and . By Lemma 4, we obtain . Obviously, . By Lemma 3, we have . This contradicts the maximality of . So we obtain . By the same procedure, we have , for . Thus, we have . □
Lemma 9.
Let be a connected r-uniform unicyclic hypergraph with and , where is a r-uniform hyperstar with center for . Then
where is a hyperstar with center and .
Proof.
We denote by the component of which contains . Let . Then, we have and . By Lemma 4, we obtain . Obviously, . By Lemma 3, we have . That is to say, , where is a hyperstar with center and .
Repeatedly by the above process on , we will obtain the desirable result. □
Lemma 10.
For and , , where are hyperstars with centers for . Let e be the edge containing . Let be the r-uniform unicyclic hypergraph obtained from H by moving each edge of from to . Then, .
Proof.
If , the equality holds. Let , and be the unique cycle of H. Applying Lemma 9, , where . Repeatedly by the above process, we have . □
Lemma 11.
For , , where and are two hyperstars with centers and and . Let be the r-uniform unicyclic hypergraph obtained from by moving all edges in from to . Then, .
Proof.
Let , . Let and . We have and . Then we obtain
Since , is isomorphic to a proper subgraph of . Then we have for , for and and for . Furthermore, we have . Thus, we obtain . By Lemma 3, we have , where is an edge.
Then we show that the hypergraph obtained from has a larger by moving an edge in from to . Repeat the above process to obtain the desired result. □
Theorem 3.
For , let H be a r-uniform unicyclic hypergraph with n vertices. Then
with equality if, and only if, , where is a hyperstar with center .
Proof.
Denote H as a r-uniform unicyclic hypergraph with n vertices; we denote it by with and , where is a r-uniform hypertree for .
Case 1..
By repeating the use of Lemmas 8, 9 and 11, it is easy to obtain our desirable result.
Case 2..
By repeating our use of Lemmas 8 and 9, we can obtain a r-uniform unicyclic hypergraph satisfying , where . we obtain a r-uniform unicyclic hypergraph with by Lemma 10, where and is a hyperstar with center , and is a hyperstar with center .
By Lemma 11, we obtain a r-uniform unicyclic hypergraph satisfying , where . We can obtain our desirable result. □
5. Conclusions
is one of the important chemical topological indices and has various applications in a large variety of problems. In addition, molecular structures that cannot be represented in ordinary graphs need to be represented by hypergraphs. It is necessary to study of hypergraphs. On the basis of the study of r-uniform hypergraphs with respect to , we study the extremal structures of r-uniform unicyclic hypergraphs. In this paper, we characterize the extremal hypergraphs with maximum and minimum among r-uniform unicyclic hypergraphs, respectively. Few results on the of hypergraphs have been obtained. can be studied by the structure and method of hypergraphs.
Author Contributions
Conceptualization, H.L.; methodology, Z.Z.; writing—original draft, H.L. All authors contributed equally to writing this article. All authors have read and agreed to the published version of the manuscript.
Funding
This work is supported by the Xijing University Research Fund (Program No.XJ200205) and the Special Fund for Basic Scientific Research of Central Colleges, South-Central University for Nationalities (CZZ21014).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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