Abstract
Let G be a graph, for any real , Nikiforov defines the matrix as where and are the adjacency matrix and diagonal matrix of degrees of the vertices of G. This paper presents some extremal results about the spectral radius of the matrix . In particular, we give a lower bound on the spectral radius in terms of order and independence number. In addition, we obtain an upper bound for the spectral radius in terms of order and minimal degree. Furthermore, for and , let be the graph obtained from the graphs and and edges connecting each vertex of with every vertex of We prove that for .
1. Introduction
Let be a simple and undirected connected graph with vertex set and edge set . To simplify the notation, we represent a vertex just by u and then an edge is just represented by , we say that u is adjacent to v, or that u and v are neighbors and we write . The adjacency matrix of G, denoted by is a symmetric matrix of order n such that if and are adjacent, and 0 otherwise. Let be the degree of vertex in G. The largest and smallest vertex degrees of G are denoted by and , respectively. The degree matrix of G, denoted by , is the diagonal matrix with diagonal entries the vertex degrees of G. A k-regular graph is a graph where every vertex has degree k. The complement of a graph G is represented by . The spectrum of a matrix M, will be denoted by . In this paper, the complete graph of order n is denoted by . An independent set is a set of vertices in a graph, where no two vertices are adjacent. The independence number of a graph G is the number of vertices of the largest independent set in G, denoted by or just if there is no ambiguity.The line graph of a graph G, denoted by , is the graph whose vertex set is the edge set of G, where two vertices of are adjacent, if and only if, the corresponding edges are incident in G. The signless Laplacian matrix and Laplacian matrix of G are defined as and , respectively. We denote by the Laplacian spectral radius of G, by the signless Laplacian spectral radius of G, and by the adjacency spectral radius or spectral radius of G. V. Nikiforov in Reference [1], define the matrix
Its straightforward verified that
and
We denote by to the spectral radius of or well called the -index of G. The join of two vertex disjoint graphs and is the graph obtained from the disjoint union by adding new edges from each vertex in to every vertex in . It is usually denoted by This graph operation can be generalized in the following way: Let H be a graph of order k and . Let be a set of pairwise vertex disjoint graphs. Here, each vertex is assigned to the graph . Let G be the graph obtained from the graphs and the edges connecting each vertex of with all the vertices of for all edge . That is, G is the graph with vertex set
and edge set
This graph is designated the (or generalized composition) of the graphs [2,3,4], and it is denoted by
In Reference [5], the authors determine the unique graph with maximal -index among all connected graphs with diameter d, and determine the unique graph with minimal -index among all connected graphs with given clique number. In Reference [6], the extremal graph with maximal -index with fixed order and cut vertices and the extremal tree which attains the maximal -index with fixed order and matching number are characterized. In Reference [7], the authors obtain the extremal graphs with maximal -index with fixed order and diameter at least k. In References [8,9], are characterized the graphs which have the minimal spectral radius among all the connected graphs of order n and some values of the independence number . In Reference [10], Nikiforov et al. shown that if is a tree of maximal degree , then the spectral radius of satisfies the tight inequality
In Reference [11], the authors obtain the following sharp upper bound for the spectral radius of G.
Theorem 1
([11]). Let G be a simple graph with n vertices and m edges. Let be the minimum degree of vertices of G and be the spectral radius of the adjacency matrix of G. Then,
Equality holds, if and only if, G is either a regular graph or a bidegreed graph where each vertex has degree either δ or .
In Reference [12], is presented a sharp lower bound on the signless Laplacian spectral radius of a graph in terms of independence number.
Theorem 2
([12]). Let G be a graph of order n and . Then
with equality, if and only if, and .
This paper is organized in the following way. In Section 1, besides the main concepts and notation used throughout the paper we present some recent work that motivated the authors. In Section 2, for where and , a lower bound for the -index of graphs of order n and independence number is given, further it is shown equality cases.
In Section 3, for an upper bound for the -index of graphs of order n, edge number m and minimal degree is given, we demonstrate that the equality holds, if and only if, is either G a regular graph or a bidegreed graph where each vertex is of degree either or . In Section 4, for , we present an ordering of -index in the class of the graphs where
2. Spectral Radius and Independence Number
In this section, we present a lower bound for the spectral radius of graphs in terms of the order and independence number which generalizes and improves the lower bound presented in Theorem 2. We first present some lemmas used in the proof of our result. For general properties of the matrices we refer the reader to Reference [1]. In particular, we frequently use the facts that is non-decreasing in ([1], Proposition 4).
Lemma 1
([1]). Let G be a graph of order n and H be any subgraph of G. If then
Remark 1
([12]). If is a maximal independent set of G, then for each , there exists some vertex such that . Moreover, for any with and , there exists some vertex such that or .
Remark 2
([12]). For a graph G on n vertices non-isomorphic to the graph , we have
Lemma 2
([13]). Let G be a graph of order n and m edges. Let . Then,
with equality, if and only if, G is a regular graph.
Lemma 3.
Let G be a graph of order n and independence number γ with where and . Then , if and only if, in G the following conditions are verified
- (a)
- there exists t maximal independent sets and an independent set of cardinality s where for , ;
- (b)
- each vertex of is adjacent to a single vertex of for , .
Proof.
Let G be a graph of order n and independence number that verifies the conditions (a) and (b). If and or and then , the result holds. Otherwise, let , and where ; and . Suppose and . We claim . Suppose then by (b) for some , . By (a) . Then, by (b) would be an independent set in G of cardinality which is a contradiction. By repeated applications of the above argument we can conclude that . Conversely, if then G verify the conditions (a) and (b). The proof is complete. □
Lemma 4.
Let be a graph of order n and independence number γ with where and , then G has a proper subgraph H of order n and independence number γ.
Proof.
Suppose then G does not verify some of the conditions (a) or (b) of Lemma 3. Suppose G does not verify the condition (a), then the following two cases may occur:
- (i)
- G has exactly ℓ maximal independent sets where and for , . Then, (otherwise, if then G would have two by two disjoint independent sets which would be a contradiction). Then, by Remark 2, we can constructed a new graph on n vertices and independence number , where , the result holds.
- (ii)
- G has exactly t maximal independent sets and for , , and then we can constructed a new graph on n vertices and independence number , where , the result holds.
Now, suppose that G verify condition (a) but does not verify condition (b), this is, we assume that G has t maximal independent sets and an independent set of cardinality s such that for with . As G does not check condition (b) there exists and for some , and such that and .
- (i)
- For , by Remark 1, there exists some vertex such that or . Suppose . Then, we constructed a new graph on n vertices and independence number , the result holds.
- (ii)
- Suppose that each vertex of is adjacent to a single vertex of for and , , then we use the same techniques applied in the proof from Lemma 3, we can see that . Now, let and . We claim, v is adjacent to all the vertices of a connected component of isomorphic to . Otherwise, there exists in each connected component of isomorphic to such that for . So, would be an independent set in G of cardinality which is a contradiction. Then, there exists such that , for and for . Thus, or . If then we constructed a new graph of order n and independence number .
The proof is complete. □
Let G and H be two graphs of order n, we will say that G and H are comparable, if and only if, H is subgraph of G or G is subgraph of H.
Lemma 5.
Let G be a graph of order n and independence number γ with where and , then is a subgraph of G.
Proof.
Let then by Lemma 3 in the following conditions are verified (a) there exists t maximal independent sets and an independent set of cardinality s where for , and (b) each vertex of is adjacent to a single vertex of for , . Let where , and for some , . Thus, in some of the sets or is an independent set of cardinality . Since G is a graph of order n and independence number then G is not a proper subgraph of . Now, suppose G and are not comparable graphs. By Lemma 4, G has a proper subgraph of order n and independence number . Clearly, . Then by Lemma 4, has a proper subgraph of order n and independence number . Clearly, . By repeated applications of previous argument, we can conclude is a graph of orden n and independence number where which is a contradiction. Hence, G and are comparable graphs. Since G is not a proper subgraph of then is a subgraph of G. The proof is complete. □
Below we present the main result of the section which is a lower bound for the spectral radius of graphs in terms of order and independence number.
Theorem 3.
Let G be a graph of order n and independence number γ with where . Let then
- If , then the equality holds, if and only if, .
- If , then the equality holds if .
Proof.
Let G be a graph of order n and independence number with where . First consider then and . By Remark 1, the result holds. Now, let then and . Then, the result is true. Now, we assume . By Lemma 5, is a subgraph of G. Clearly, for , we have if , and if . By Lemma 1,
Suppose the equality holds, and then the edge number m of G is greater than . By Lemma 2, which is a contradiction. The proof is complete. □
The following result which is a direct consequence of Theorem 3, presents a lower bound for the signless Laplacian spectral radius and this in turn improves the bound of Theorem 2.
Corollary 1.
Let G be a graph of order n and independence number γ with where , then
- If , then the equality holds, if and only if, .
- If , then the equality holds if .
Proof.
Taking then , by Theorem 3 the result holds. □
3. Spectral Radius and Minimal Degree
In this section, we provide the necessary definitions and lemmas on which our main results rely. We begin with some simple matrix results. Let be an matrix. Then will denote the i-th row sum of B, that is, , where .
Lemma 6
([14]). Let B be a real symmetric matrix and λ be an eigenvalue of B, with an eigenvector x all of whose entries are nonnegative. Then
Moreover, if the row sums of B are not all equal and if all entries of x are positive, then both inequalities above are strict.
An immediate consequence is the following result.
Lemma 7.
Let G be a simple connected graph of order n with where . Let P be any polynomial and be the row sum of corresponding to , then
Both equalities above holds, if and only if, the row sums of are all equal.
As a consequence of Lemma 7, we obtain the following result which generalize Theorem 1.
Theorem 4.
Let G be a simple connected graph of order n and minimal degree δ with m edges and . Then
The equality holds, if and only if, G is either a regular graph or a bidegreed graph where each vertex has degree either δ or .
Proof.
Let G be a graph of order n, minimal degree and m edges and be the row sum of corresponding to where denote the matrix . We can easily see that for . Calculating the row sum of for , we have
Thus,
Thereby,
For the linearity,
Taking in Lemma 7, we have
In particular,
Solving the inequality (2) for , we obtain
Suppose the equality in (3) holds, then all the inequalities in the above argument must be equalities. This implies that
for all , that is,
for all . Now, suppose and are two non-adjacent vertices in G then . By (4), we have . Analogously, we can prove that . Hence, the affirmation “Any pair of non-adjacent vertices in G have degree δ” is true. Now, if there exists such that then by above affirmation, we conclude v is adjacent to u for all with , this is, which implies either G is a regular graph of degree or G is a bidegreed graph where each vertex has degree either or . Conversely, if G is a regular graph then the equality holds. Now, suppose G is a bidegreed graph where each vertex has degree or .
Now, taking in Lemma 7, we have
Hence,
The proof is complete. □
Corollary 2.
Let G be a graph of order n and minimal degree δ with m edges then
Equality holds, if and only if, G is either a regular graph or a bidegreed graph where each vertex has degree either δ or .
Proof.
Taking then , by Theorem 4 the result holds. □
Lemma 8
([15,16]). Let G be a graph of order n with edges. Let be the i-th greatest signless Laplacian eigenvalue of G and be the i-th greatest eigenvalue of the line graph of G. Then
for , where . In addition, if , then for and if , then for .
As a direct consequence of Corollary 2 and Lemma 8, we obtain the following result.
Corollary 3.
Let G be a graph of order n and minimal degree δ with m edges then
Equality holds, if and only if, G is either a regular graph or a bidegreed graph where each vertex has degree δ or .
4. Monotonicity of the -Indices of Graphs with
In this section, for , we present an ordering of -indices in the class of the graphs where The graphs plays an important role in the representation of graphs that relate the join operation between an arbitrary family of graphs, in particular maximize some topological indices of graphs in terms of edge connectivity and vertices connectivity such as Energy, Estrada index, Spread (see References [17,18,19]). Furthermore, in graphs of communication or transportation networks, the edge connectivity is an important measure of reliability, the study of the line graph of these graphs is relevant. In Theorem 8 [20], for is presented an ordering between the spectral radii of the distance matrices where , being and the unique zero of the function in the interval . In this section, we prove that this same order is conserved for the spectral radii of the matrices with . We begin presenting a result for the spectrum of the matrices with . In Theorem 5 [2], the spectrum of the adjacency matrix of the H-join of regular graphs is obtained. The version of this result for the matrices with is given below, its proof is similar.
Theorem 5.
Let where H is a graph of order k and is a -regular graph of order for . Then, the spectrum of the matrix with is
where is the matrix of order k given by
with
and
We remember that the eigenvalues of are and with multiplicity . The following result is a direct consequence of Theorem 5.
Corollary 4.
The spectrum of the matrix with and has the eigenvalues
and the eigenvalues of the matrix .
Below we present Rayleigh’s principle for real symmetric matrices.
Lemma 9
([21]). Let and be the largest and smallest eigenvalues of a real symmetric matrix H, respectively, then
Moreover, if x is a unit n-vector then , if and only if, is an associated eigenvector to ; and , if and only if, is an associated eigenvector to .
The following remark is an immediate consequence of Lemma 9.
Remark 3.
For and , the spectral radius of the matrix is not less than its diagonal entries.
As a direct consequence of Corollary 4 and Remark 3, we have.
Lemma 10.
For and , the spectral radius of the matrix is the α-index of .
One can easily verify the following result.
Lemma 11.
The characteristic polynomial of with and , is given by
Theorem 6.
Let and . Then,
Proof.
Since and are nonnegative irreducible matrices then its spectral radii are simple eigenvalues, we can assume and are the eigenvalues of the matrices and , respectively. □
Hence,
We claim Otherwise, if then for all j. Taking in (6), we obtain
which is a contradiction. Then, we conclude for all . □
Author Contributions
Conceptualization, E.L. and J.R.; methodology, E.L.; software, J.R.; validation, E.L., E.M.-Z. and J.R.; formal analysis, E.L.; investigation, E.M.-Z.; resources, J.R.; data curation, E.M.-Z.; writing—original draft preparation, E.L.; writing—review and editing, E.L., J.R.; visualization, J.R.; supervision, E.M.-Z.; project administration, E.M.-Z.; funding acquisition, J.R. All authors have read and agreed to the published version of the manuscript.
Funding
Eber Lenes was supported by Proyecto BASED-PD/2020-02, Universidad del Sinú, Cartagena, Colombia. Jonnathan Rodríguez was supported by MINEDUC-UA project, code ANT-1899 and Funded by the Initiation Program in Research - Universidad de Antofagasta, INI-1906. Exequiel Mallea-Zepeda was supported by Proyecto UTA-Mayor 4751-20, Universidad de Tarapacá, Arica, Chile.
Acknowledgments
The authors would like to thank the referee for his/her constructive suggestions that improved the final version of this paper.
Conflicts of Interest
The authors declare no conflict of interest.
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