Abstract
The second immanantal polynomial is one of the important directions in algebraic theory. Let be an matrix. The second immanant of matrix M is defined as , where is the irreducible character of the symmetric group of degree n, corresponding to the partition . Let G be a graph with n vertices. Denote by the signless Laplacian matrix of G. The second signless Laplacian immanantal polynomial of G is defined as , where is the coefficient of this polynomial. This paper investigates fundamental properties of this polynomial. First, we give combinatorial expressions for the first few coefficients of the second signless Laplacian immanantal polynomial. Next, we prove that the polynomial has no zero or negative real roots for connected graphs. Furthermore, we show that there is an equivalence relation among three polynomials for regular graphs, which implies that if two regular graphs share the same characteristic polynomial, then they also share the same second signless Laplacian immanantal polynomial. Finally, we prove that paths and almost complete graphs are determined by their second signless Laplacian immanantal polynomials.
MSC:
05C05; 05C50; 15A15
1. Introduction
Let be the permutation group on n symbols and be a partition of n, and let be the irreducible character of corresponding to the partition . The immanant function associated with the character acting on an matrix is defined as
In particular, when , we call the hook immanant of M, abbreviated as . The determinant , second immanant and permanent are the immanants corresponding to , and , respectively.
Let be a simple graph with vertex set and edge set , and let be the degree of vertex . Denote by the diagonal matrix with diagonal elements . For graph G, its adjacency matrix is , where if and are adjacent and otherwise. The Laplacian matrix and the signless Laplacian matrix of graph G are respectively defined as follows:
The determinant and permanent of matrices and have been extensively studied [1,2,3,4,5]. But the properties of the analogous second immanant remain less explored. This gap is the focus of our work.
The immanantal polynomial of an matrix is , and is the coefficient of this polynomial, defined as follows:
The characteristic polynomial, second immanantal polynomial and permanent polynomial of a matrix M are denoted by , and , respectively, defined as follows:
where I is an identity matrix.
Let be a matrix , and let be the submatrix of R formed by deleting the s-th row and column of R. The determinant and second immanant of R are respectively denoted as and . Merris [6] gave a result that the second immanant of matrix R satisfies:
Currently, numerous results exist on determinants [1,7,8,9]. Some scholars have also investigated problems related to permanents [10,11,12,13]. Merris [6] first introduced the second immanantal polynomial for the Laplacian matrix of graphs and examined its coefficients and properties. Subsequent work by Wu et al. [14,15] further explored properties of this polynomial. Bürgisser [16] showed that computing the immanant is VNP-complete, so that the computation of immanantal polynomials is very difficult. There have been some studies on the immanantal polynomials of the Laplacian matrix [17,18,19,20,21]. Yu et al. [22] established that the immanantal polynomials of the Laplacian and signless Laplacian matrices are the same for bipartite graphs. But the study of immanantal polynomials in non-bipartite graphs is still unclear. Therefore, the study of immanantal polynomials of the signless Laplacian matrix for non-bipartite graphs is our main goal. In this paper, we study the fundamental algebraic and spectral properties of the second immanantal polynomial of the signless Laplacian matrix for non-bipartite graphs and obtain the expressions for the first few coefficients of this polynomial and some properties of its roots.
The remainder of this paper is structured in the following manner. In Section 2, we investigate coefficients of the second signless Laplacian immanantal polynomial of graphs. Explicit expressions for several coefficients are derived, and related inequalities are established. In Section 3, we study properties of the roots of this polynomial and provide conditions under which a graph is determined by its polynomial. Additionally, we conclude that paths and almost-complete graphs are determined by their second signless Laplacian immanantal polynomials based solely on the first few coefficients identified in Section 2. Finally, a summary of the work is presented.
2. Coefficients of the Second Signless Laplacian Immanantal Polynomial
In this section, we primarily investigate the coefficients of the second signless Laplacian immanantal polynomial of a graph. The second signless Laplacian immanantal polynomial of the graph G is defined as:
Merris [6] studied the second immanantal polynomial of an matrix and established relations for its coefficients. The set of subsets of with k elements is denoted by . For , let be the principal submatrix of M corresponding to B. Merris [6] proposed that the coefficient of in the expansion of the second immanantal polynomial of matrix M satisfies:
where is the coefficient of in the expansion of the characteristic polynomial . Furthermore, several coefficients of the second Laplacian immanantal polynomial of the graph are provided.
Lemma 1
(Merris, [6]). Let G be a graph with n vertices and m edges, and define as the Laplacian matrix of G, and
then
where is the number of spanning trees in graph G.
Lemma 2
(Biggs, [7]). Let ; then
where is the number of triangles in graph G, and is the number of quadrangles in graph G.
We primarily study the signless Laplacian matrix of a graph. By Equation (2), let ; we obtain:
when G is a regular graph and its regularity is r, then:
Let , and let be the degree sequence of graph G. Denote by the diagonal matrix obtained from by deleting and . Define as the l-th elementary symmetric function, with . When , let
Lemma 3
(Yu and Qu, [22]). Let G be a graph with n vertices, and let be its signless Laplacian matrix. The immanantal polynomial of the signless Laplacian matrix of G is as follows:
then
where B is a k-subset of , C is a conjugacy class of the subgroup , and is the degree of vertex .
The second immanant of matrix M is expressed as follows:
where stands for the irreducible character of associated to the partition . In particular, , where is the alternating character and F is the number of fixed points.
Let G be a graph with vertex set , and let be the degree of vertex . , and let H be a subgraph of G with vertices where , such that all connected components of H can only be an edge or a cycle. Define as the number of vertices in graph H. Denote by the set of all subgraphs H. By Equations (5) and (6), when , we have , where is the number of components in H. If H contains cycle components, they have clockwise and counterclockwise directions. Therefore, we obtain the following corollary.
Corollary 1.
Let G be a graph with n vertices, and let be its signless Laplacian matrix. Denote by the coefficient of in the polynomial . Then
where is the number of components in H, and is the number of cycle components of H.
Theorem 1.
Let G be a graph with n vertices and m edges, and let E be the edge set of G. Denote by the signless Laplacian matrix of G, and
then
where is the number of triangles in graph G, is the number of triangles containing vertex v in graph G and is the number of quadrangles (cycles of length 4) in graph G.
Proof.
By Equation (6), let , then . The coefficient is equal to the product of the trace of and , so . When , the coefficient of has two sources: One is when , which contributes ; the other is when it constitutes a set of vertex exchanges forming an edge, so then and there are m edges, contributing . Therefore, .
When , the coefficient of has three sources: one is when , which contributes ; next is the set of vertex exchanges that form an edge, which contributes ; the third is 3-cycle , where are edges. For a 3-cycle , the irreducible character . Moreover, each triangle in graph G has both clockwise and counterclockwise orientations. Lastly, as the entries of corresponding to the edges of a triangle are all 1, the total contribution from 3-cycles is . Therefore, .
First, we introduce some notation. Let denote the number of triangles in graph G that contain vertex v. Let be i distinct vertices in G, and let be the subgraph obtained by deleting vertices from G. We use to represent the graph obtained by attaching a loop of weight at vertex . Similarly, denote by the graph obtained by attaching loops with weights and at vertices and , respectively. Finally, is the graph obtained by attaching a loop of weight at each vertex . Define the adjacency matrix of as the matrix , where
By expanding the determinant, we obtain
With respect to the loops on all n vertices, we conduct additional iterations, and thus we obtain the expression
Consider a graph G with degree sequence . It then follows that the signless Laplacian matrix is the exact adjacency matrix of . Therefore, by Equation (9) we obtain the following expression.
By Lemma 2, it can be deduced that
According to reference [4], we have
□
We summarize this section using some inequalities of .
Theorem 2.
Let G be a graph with n vertices. Define as the l-th elementary symmetric function of , with defined as the coefficient of in the polynomial . Therefore .
Proof.
Given that is a positive semidefinite symmetric matrix and every term in Equation (3) is non-negative, for the principal submatrices, we can obtain the following through Hadamard’s determinant inequality.
□
Theorem 3.
Let G be a graph with n vertices, and let H be a spanning subgraph of G. Then for .
Proof.
Let and be the vertex set and edge set of graph G, respectively. G and H have the same vertices, and let be the edge set of graph H. Define as a graph with the same set of vertices as G and H, and whose edge set is composed of edges in G that are not in H. Naturally, . If X and Y are two positive semidefinite Hermitian matrices, and they have the same order, then . From Equation (3), it follows that . □
Lemma 4.
(Yu and Qu, [22]) Assume G is a bipartite graph, then the second immanantal polynomial of the signless Laplacian matrix and the Laplacian matrix of G have the same coefficients.
Lemma 5.
Let G be a graph with n vertices. When ,
Suppose that G is a connected graph, then , where T is a spanning tree of G. Then
Proof.
By Theorem 3, , where is a complete graph, we obtain
By Equation (4), we can calculate that
By Lemmas 1 and 4, it follows that . When graph G is connected, Theorem 3 implies that for any spanning tree T, we have .
This completes the proof of the theorem. □
3. Roots of the Second Signless Laplacian Immanantal Polynomial
Section 3.1 investigates the properties of the roots of the second signless Laplacian immanantal polynomial of a graph. In Section 3.2, we mainly study the characterizing properties of the second signless Laplacian immanantal polynomial of graphs, and certain graphs determined by the second signless Laplacian immanantal polynomial are given.
3.1. The Roots of the Second Signless Laplacian Immanantal Polynomial
Biggs [7] proposes that roots are an important aspect of studying polynomials in graph theory; the root distribution of polynomials has always been a highly concerned issue, and we study properties of the real roots of the second signless Laplacian immanantal polynomial of a graph.
Theorem 4.
Let G be a connected graph and let its edge set be non-empty, then the polynomial has no root equal to zero.
Proof.
Assuming that 0 is the root of polynomial , by Lemma 5 we obtain that when the root , . Therefore, , and the theorem is proven. □
Theorem 5.
Let G be a connected graph and let its edge set be non-empty. No negative real roots exist for the polynomial .
Proof.
Let the second signless Laplacian immanantal polynomial of graph G be denoted as:
In view of Theorem 1, we conclude that
and . If , then . Since is a positive semidefinite symmetric matrix, , , by Equation (3), .
Obviously, .
If the graph G is of odd order, for all negative real numbers x, , then . If the graph G is of even order, for all negative real numbers x, , . For all negative real numbers x, when n is odd, , and when n is even, . Therefore, no negative real roots exist for the polynomial of connected graph G. □
3.2. Determining Graphs by the Second Signless Laplacian Immanantal Polynomial
In [23], van Dam and Haemers posed the following question: A graph G is said to be determined by its characteristic polynomial if graph , sharing the same characteristic polynomial as G, is isomorphic to G. With respect to any graph polynomial, investigating its capability of characterizing graphs is meaningful. Specifically, characteristic polynomials [23,24] and permanental polynomials [4,5] have been extensively studied, while research on second immanantal polynomials are relatively scarce. A natural extension is whether a graph G can be determined by the second signless Laplacian immanantal polynomial and whether different second signless Laplacian immanantal polynomials can distinguish non-isomorphic graphs.
For regular graphs, we can obtain a theorem as follows:
Theorem 6.
Given two regular graphs G and H, the following three equations are equivalent:
- (i)
- ;
- (ii)
- ;
- (iii)
- .
Proof.
By Theorem 1, The polynomial of a graph G can determine the number of vertices and edges. If G is a regular graph, the regularity r can obviously be determined. From Equation (4), we can see that and are equivalent. Assume that holds, then the two polynomials have the same degree and the same coefficient of . Then G and H have the same number of vertices and edges, hence they have the same regularity r. In , replacing by x yields . Similarly, we can see that implies . □
We define a graph G as almost-regular provided that the difference in degrees of any two vertices in G is not greater than 1.
Theorem 7.
Let G be an almost regular graph of order n. If , then and G have the same degree sequence.
Proof.
Let G have k vertices with and vertices with .
therefore . Let the degree sequence of be , where .
By Theorem 1, and , we have , that is,
and , where
Assuming there are s negative numbers in , arranged in ascending order, then
which is obviously not valid; therefore are all non-negative integers. By Equations (11) and (15), we have
since is a non-negative integer, . Then, from Equation (16), . Therefore, or 1. By Equation (11), we can obtain . The theorem is proved. □
Theorem 8.
The path is determined by the second signless Laplacian immanantal polynomial.
Proof.
If a graph G has the same second signless Laplacian immanantal polynomial as the path , then by Theorem 1, Lemmas 1 and 4, we obtain G has n vertices, edges, and is a connected graph. By Theorem 7, G and have the same degree sequence, thus G is isomorphic to the path . The proof is complete. □
Zhang et al. [5] demonstrated that, for , the non-isomorphic graphs obtained by removing up to three edges from are as shown in Figure 1, and these non-isomorphic graphs are denoted as , where s is the number of deleted edges and t is the index used to distinguish between different graphs.
Figure 1.
The graphs obtained by removing up to three edges from a complete graph .
By Theorem 1, we can obtain some properties of second signless Laplacian immanantal polynomials of graphs.
Lemma 6.
From the second signless Laplacian immanantal polynomial of a graph G, we can derive:
- (i)
- n, the vertex count;
- (ii)
- m, the edge count;
- (iii)
- , the sum of the squares of the vertex degrees.
Proof.
By Theorem 1, it can be inferred that the coefficients of the second signless Laplacian immanantal polynomial of graph G can be used to derive the number of vertices and edges of graph G, where
The coefficients of the second signless Laplacian immanantal polynomial of graph G can be used to derive the sum of squares of the vertex degrees of graph G. □
The reference [25] provides the results of the sum of squares of the vertex degrees for some graphs, as shown in Table 1.
Table 1.
The sum of squares of the vertex degrees of some graphs in .
Theorem 9.
The graphs obtained by removing up to three edges from a complete graph are determined by the second signless Laplacian immanantal polynomial.
Proof.
By Lemma 6 and Table 1, Graphs are determined by the second signless Laplacian immanantal polynomial, respectively. And
and by Theorem 1,
According to reference [6], ; according to reference [25], . Then
This means that the graphs and are determined by the second signless Laplacian immanantal polynomial. The theorem is proved. □
4. Conclusions
This paper established fundamental algebraic and spectral properties of the second signless Laplacian immanantal polynomial of a graph. Explicit formulas for its first five coefficients are derived, inequalities involving specific coefficients are established, and the distribution of its roots is described. Furthermore, the question posed by van Dam and Haemers [23] of whether a graph is determined by its characteristic polynomial motivates the study of various polynomials for graph characterization. We prove an equivalence between the characteristic polynomial and the second signless Laplacian immanantal polynomial for regular graphs: if two regular graphs have the same characteristic polynomial, then they also share the same second signless Laplacian immanantal polynomial. For non-regular graphs, sufficient conditions for a graph to be determined by this polynomial are provided, and it is shown that certain special graph classes are uniquely determined by it. There are relatively few research results related to immanantal polynomials, and many challenging open problems warrant further investigation. For example, the second signless Laplacian immanantal polynomial characterization or real root characterization of general graph classes.
Author Contributions
Conceptualization, Y.G. and T.W.; methodology, Y.G.; software, Y.G.; validation, Y.G. and T.W.; formal analysis, Y.G.; investigation, Y.G.; resources, T.W.; data curation, Y.G.; writing—original draft preparation, Y.G.; writing—review and editing, T.W.; visualization, Y.G.; supervision, T.W.; project administration, T.W.; funding acquisition, T.W. All authors have read and agreed to the published version of the manuscript.
Funding
Supported by the National Natural Science Foundation of China (No. 12261071) and Natural Science Foundation of Qinghai Province (No. 2025-ZJ-902T).
Data Availability Statement
No data were used to support this study.
Acknowledgments
We would like to thank the anonymous referees for their comments, which helped us make several improvements to this paper.
Conflicts of Interest
The authors declare no conflicts of interest.
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