Abstract
Let be a k-uniform hypergraph on n vertices with degree sequence . In this paper, in terms of degree , we give a new upper bound for the Z-spectral radius of the adjacency tensor of . Some examples are given to show the efficiency of the bound.
Keywords: Hypergraph, Z-eigenvalue, Bound, Nonnegative tensor
Introduction
Let be an mth order n-dimensional real square tensor, x be a real n-vector. Then we define the following real n-vector:
If there exist a real vector x and a real number λ such that
then λ is called an H-eigenvalue of and x is called an eigenvector of associated with λ [1, 2]. If there exist a real vector x and a real number λ such that
then λ is called a Z-eigenvalue of and x is called an eigenvector of associated with λ. You can see more about the eigenvalues of tensors in [3–7].
Let be a hypergraph with a vertex set and an edge set . If every edge of contains exactly k distinct vertices, then is called a k-uniform hypergraph. The degree of a vertex i in is the number of edges incident with i, denoted by . If for any , then the hypergraph is called a regular hypergraph. Recently, the spectral radii of hypergraphs have been studied in [8, 9].
Let mean that there is an edge containing k distinct vertices . Then the adjacency tensor of a hypergraph is a kth order n-dimensional tensor with entries:
Let be the degree diagonal tensor of the graph . Then the tensor is called the signless Laplacian tensor of the hypergraph . The largest modulus of the Z-eigenvalues of the adjacency tensor is denoted by , which is called the Z-spectral radius of the adjacency tensor .
For a k-uniform hypergraph , let be the degree sequence of the hypergraph . In 2013, Xie and Chang [8] presented the following upper bound for the largest Z-eigenvalues of adjacency tensors:
| 1 |
In this paper, we give a new upper bounds in terms of degree for the Z-spectral radius of hypergraphs, which improves the bound as shown in (1). Then we give some examples to compare these bounds for Z-spectral radius of hypergraphs.
Preliminaries
Some basic definitions and useful results are listed as follows.
Definition 2.1
([10])
The tensor is called reducible if there exists a nonempty proper index subset such that , , . If is not reducible, then we call to be irreducible.
Definition 2.2
Let be an m-order and n-dimensional tensor. We define the Z-spectrum of by the set of all Z-eigenvalues of . Assume , then the Z-spectral radius of is denoted by
The concept of weakly symmetric was first introduced and used by Chang, Pearson, and Zhang [11] in order to study the following Perron–Frobenius theorem for the Z-eigenvalue of nonnegative tensors.
Lemma 2.1
([11])
Let be a weakly symmetric nonnegative tensor, then the spectral radius is a positive Z-eigenvalue with a nonnegative Z-eigenvector x. Furthermore, if is irreducible, x is positive.
means that . Two useful lemmas are given as follows.
Lemma 2.2
Let and be two weakly symmetric and irreducible tensors of order m and dimension n. If and are nonnegative, then .
Proof
Let y be the eigenvector associated with β, where β is a Z-eigenvalue of . Then we can get
By Theorem 4.7 of [11], we have
Then
□
Lemma 2.3
Let be a sequence of nonnegative, weakly symmetric tensors of order m and dimension n, and be nonnegative for each positive integer k. Then
Proof
Let . Since is nonnegative, by Lemma 2.2, we know that is a monotone decreasing sequence with a lower bound . So exists and
Since is nonnegative, weakly symmetric, then there exists a nonnegative vector such that and . Then is a bounded sequence, it has a convergent subsequence . Suppose that . By , we get . So λ is an eigenvalue of . Since , we have . □
The Z-spectral radius of tensors and hypergraphs
In this section, let , we give some bounds on the Z-spectral radius of tensors and hypergraphs.
Theorem 3.1
Let be weakly symmetric nonnegative tensors of order m and dimension n. Then
Proof
Case 1. If is irreducible, by Lemma 2.1, let be the positive eigenvector associated with the largest Z-eigenvalues of . Then
Let , then
| 2 |
Suppose that . Then, from (2), we can get
Then, by , we have
Therefore,
Case 2. If is reducible. Let , for all . Then is an irreducible nonnegative tensor for any chosen positive real number ϵ. Now we substitute for , respectively, in the previous case. When , the result follows by the continuity of . □
By Theorem 3.1, a bound on the Z-spectral radius of a uniform hypergraph is obtained, we also compare the bound with the result in (1).
Theorem 3.2
Let be a k-uniform hypergraph on n vertices with the degree sequence . Then
| 3 |
Proof
Case 1. is irreducible. In this case, by Lemma 2.1, there exists a positive eigenvector corresponding to the spectral radius . Then, by Theorem 3.1, we have
Case 2. If is reducible. Let , , for all . Then is an irreducible nonnegative tensor for any chosen positive real number ϵ. Now we substitute for , respectively, in the previous case. When , the result follows by the continuity of . □
Remark
Obviously, we can get
That is to say, our bound in Theorem 3.2 is always better than the bound in (1).
We now show the efficiency of the new upper bound in Theorem 3.2 by the following examples.
Example 1
Consider 3-uniform hypergraph with a vertex set and an edge set , where , , .
Example 2
Consider 3-uniform hypergraph with a vertex set and an edge set , where , , .
From Table 1, we can find that bound (3) is always better than (1).
Table 1.
Upper bounds for the hypergraphs and
Conclusion
In this paper, we get a new bound for the Z-spectral radius of tensors. As applications, in terms of the degree sequence , we obtain a new bound for the Z-spectral radius of hypergraphs, which is always better than the bound in [8]. We list two examples to show the efficiency of our new bound.
Acknowledgements
Wu is supported by the Research Center for Qianbei Culture of Guizhou Higher Education Humanistic and Social Science Research Base Foundation: Kelaofolk Mathematical Investigation and Cultural Inheritance[2015JD114]. He is supported by the Science and Technology Foundation of Guizhou Province (Qian ke he Ji Chu [2016]1161); Guizhou Province Natural Science Foundation in China (Qian Jiao He KY [2016]255); the Doctoral Scientific Research Foundation of Zunyi Normal College (BS[2015]09); High-level Innovative Talents of Guizhou Province (Zun Ke He Ren Cai [2017]8). Liu is supported by the National Science Foundation of China (71461027); Science and Technology Talent Training Object of Guizhou Province Outstanding Youth (Qian ke he ren zi [2015]06); Guizhou Province Natural Science Foundation in China (Qian Jiao He KY [2014]295); 2013, 2014, and 2015 Zunyi 15851 Talents Elite Project funding; Zhunyi Innovative Talent Team (Zunyi KH (2015)38). Tian is supported by Guizhou Province Natural Science Foundation in China (Qian Jiao He KY [2015]451); Science and Technology Foundation of Guizhou Province (Qian ke he J zi [2015]2147).
Authors’ contributions
All authors contributed equally to this work. All authors read and approved the final manuscript.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
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Contributor Information
Zhi-Yong Wu, Email: 2390708509@qq.com.
Jun He, Email: hejunfan1@163.com.
Yan-Min Liu, Email: 546692653@qq.com.
Jun-Kang Tian, Email: 17261717@qq.com.
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