1. Introduction
Let
be a simple connected graph with vertex set
and edge set
. Let
and
denote the number of vertices and edges, respectively. The degree matrix
is defined where
(or
) denotes the degree of vertex
. The adjacency matrix
is defined as
The Laplacian matrix of G is and its signless Laplacian matrix is .
Let
denote the symmetric group of degree
n, let
be a partition of
n and let
be the irreducible character of
. The
immanant function with respect to the character
, acting on an
matrix
, is defined as
In particular, when , we call the hook immanant of M, abbreviated as . For hook immanants, corresponds to the determinant of M; to the second immanant; and to the permanent of M (i.e., ).
Specific to the focus of this paper, we will pay particular attention to the case
. The
-th immanant is defined as
where the character
corresponds to the partition
and can be computed as
; Here,
denotes the number of fixed points of the permutation
. A key property derived from this character formula is the following combinatorial expression for
:
where
denotes the submatrix of
M obtained by deleting the
i-th row and
i-th column. The computational complexity of
can be established via reduction from the permanent. Since computing the permanent of a matrix is #P-complete [
1] and since the permanent can be reduced to computing
for a constructed matrix
(see, e.g., the construction in [
2]), it follows that computing
for a general matrix
M is also #P-complete.
Bürgisser [
2] showed that computing the hook immanant of
M is VNP-complete. These immanants of graph-related matrices have been extensively investigated in the literature (see, e.g., [
3,
4,
5,
6,
7,
8]). In particular, concerning the Laplacian immanant of trees, Chan and Lam [
9] established lower bounds for
among trees with given diameter and proposed the following open problem:
Problem 1. For each partition λ of n, determine which tree(s) with given diameter minimize ?
With regard to Problem 1, Brualdi and Goldwasser [
10] proved that among all trees with given diameter, the broom graph minimizes
. Given the computational complexity of immanants, attention naturally shifts to specific cases of immanants. In particular, this intrinsic complexity motivates our study of immanant properties on specific structured matrices, such as the Laplacian matrices of trees. Among hook immanants, the case
represents one of the more elementary yet non-trivial cases, which leads us to the following problem:
Problem 2. For the partition of n, determine which tree(s) with given diameter minimize ?
Let
I be the
identity matrix. For any
matrix
, its
hook immanantal polynomial is defined as
Among the family of hook immanantal polynomials, the characteristic polynomial and the permanental polynomial
(i.e.,
) have been the most widely studied [
11,
12,
13]. Yu [
14] derived explicit expressions for immanantal polynomials via fundamental subgraphs. Further investigations into the hook immanantal polynomial can be found in [
15,
16,
17,
18,
19]. In particular, Merris [
20] investigated the roots and coefficients of the second Laplacian immanantal polynomial. For hook immanantal polynomials, Merris posed the following problem about the star degree:
Problem 3. Is the star degree of G always a lower bound for the multiplicity of 1 in ?
Wu et al. [
17] answered this question affirmatively for the case of the second immanantal polynomial. Since Merris’s problem involves
, we are naturally led to consider its analogue for the signless Laplacian matrix
. For
, Faria [
15] proved that the multiplicity of the root 1 in
equals the star degree of
G. These results, combined with the fact that evaluating
is #P-complete for general matrices [
2], motivate us to study the specific case of the hook immanantal polynomial
and to propose the following extension of Problem 3:
Problem 4. Is the multiplicity of the root 1 in related to the star degree of G?
This paper focuses on Problems 2 and 4, investigating the fundamental properties of the
-th Laplacian immanantal polynomial and providing solutions to these problems. The paper is structured as follows. In
Section 2, we first investigate the fundamental properties of the coefficients of the
-th Laplacian immanantal polynomial. Alongside this, we address Problem 2 by showing that the broom graph minimizes
.
Section 3 investigates the properties of the
-th Laplacian immanantal polynomial. In the final section, we resolve Problem 4 by showing that the multiplicity of the root 1 in
is bounded below by the star degree of
G that has a non-zero star degree.
2. Coefficients of the -th Laplacian Immanantal Polynomial and the Solution to Problem 2
For an
matrix
, by Equation (
2), the
-th immanantal polynomial is expressed as
First consider the
-th immanantal polynomial for an
matrix
. Let
denote the collection of all
k-element subsets of
. For
, let
denote the principal
submatrix corresponding to
Y. Define
as the
matrix satisfying
where
is the Kronecker delta. Then
is permutationally similar to the direct sum of
and the
-order identity matrix. This similarity is realized by applying a permutation that brings all indices in
Y to the first
k positions. Under this permutation, the matrix transforms into an explicit block diagonal structure: the upper-left
block is precisely
and the lower-right
block is the identity matrix, as all off-block entries are zero by the definition of
for
i or
.
By Equation (
4), the coefficient
of
in the expansion of
arises from selecting a
k-subset
Y of indices where the term
is chosen (no
x contribution), while the remaining indices contribute
(enforcing fixed points). The matrix
, which retains elements of
M on
Y and is identity elsewhere, encodes this constraint. Unlike the permanent, whose character is multiplicative (
), the character
for the
-th immanant is not multiplicative [
21]. Thus,
≠
and
computes the weighted sum over the subgroup
(permutations that are the identity outside
Y). Therefore, from (
2) we have
Let
be the subgroup of
consisting of permutations that fix all elements outside
Y, which is isomorphic to the symmetric group
acting on
Y. Since each permutation in
has
more fixed points than its corresponding permutation in
, from (
2) and (
5) we obtain
It is essential to clarify the precise meaning of the notation
in this context. In Equation (
5),
operates on an
matrix, employing the character
of the symmetric group
. However, in Equation (
6), the same symbol
is applied to the principal submatrix
, which is a
matrix. Strictly speaking, the corresponding immanant for a matrix of order
k should be denoted as
, utilizing the character
of
. To ensure notational consistency while maintaining readability, we hereby establish the following convention: throughout this work, the symbol
will represent the hook immanant for square matrices of any order. Formally, for any
matrix
B, we define:
where
is the character of
corresponding to the partition
. Under this convention,
in Equation (
6) unambiguously denotes the
-th immanant of the
submatrix
. This complication does not occur for the permanent because the trivial character
remains irreducible upon restriction to subgroups. This stability follows from the fact that the trivial representation is one-dimensional [
21] and is therefore irreducible and multiplicative under any subgroup restriction. Consequently, for permutations that are identity outside subset
Y, the permanent satisfies the multiplicative identity
, where
is the identity matrix of order
. This is unlike the
-th immanant, which corresponds to a higher-dimensional irreducible representation whose character may decompose upon restriction.
Let
be a
matrix (
). By Equation (
3), we obtain
where
denotes the submatrix of
B obtained by deleting the
i-th row and column. Substituting this expression for
from Equation (
7) into (
6), we obtain for each subset
Y:
Therefore, summing this identity over all
yields the desired expression for the coefficient
:
where
denotes the submatrix of
obtained by deleting the row and column corresponding to the
i-th element of
Y (thus directly analogous to the notation
introduced in Equation (
7)) and
denotes the coefficient of
in the permanental polynomial
.
Now consider the special case
. Rewriting Equation (
8) gives
where
. If
G is a regular graph with
(
), then
Theorem 1. Let and be two regular graphs. Then the following statements are equivalent
- (i)
;
- (ii)
;
- (iii)
.
Proof. The equivalence of (i) and (ii) follows from (
10) since
can be expressed in terms of
. If (iii) holds, since the leading coefficients are equal and the coefficients of
are identical,
and
must have the same number of vertices
n, edges
m and thus the same regularity
r. Substituting
into
yields (i). Reversing the steps shows that (i) implies (iii). □
We extend some definitions to facilitate subsequent analysis. Let
denote the degree sequence of a graph
G. For any edge
, the edge-deleted degree sequence
is obtained by removing the entries
and
from
. Let
denote the
k-th elementary symmetric function. For a graph
G, define
. Then, for
, let
Theorem 2. Let G be a graph with n vertices and m edges and let denote its Laplacian matrix. The -th Laplacian immanantal polynomial admits the expansionwhere the coefficients are given by: Here, counts triangles in counts triangles containing vertex and counts quadrilaterals.
Proof. The coefficient of the highest-degree term in the polynomial, denoted , is given by . The coefficient equals the product of and the trace of the Laplacian matrix, i.e., . For , the coefficient of is determined by two types of permutations: the identity permutation , contributing and the transpositions corresponding to the endpoints of each edge in G (where ), leading to .
For the coefficient , the analysis of involves three parts: the contribution from the identity permutation, ; the contribution from transpositions of edge endpoints, ; and the contribution from 3-cycles (and their inverses) corresponding to triangular structures in G, . Specifically, for any permutation containing a 3-cycle where (forming a triangle in G), the calculation of shows that the character . Given that the off-diagonal entries of the Laplacian matrix satisfy , each 3-cycle and its inverse contribute to . The total contribution from all 3-cycles is . Thus, .
For the coefficient , we provide a systematic classification of all permutation types in with support on precisely 4 vertices that yield non-zero products in . The analysis reveals five distinct types of such permutations that contribute to this coefficient:
- Type I:
Identity permutation: This type contributes , accounting for all ways of selecting 4 vertices and using their diagonal entries.
- Type II:
Single transposition: These permutations consist of one transposition (an edge) and two fixed points. Each has and contributes a product equal to for the fixed points p and q. Summing over all edges and all vertex pairs not incident to the edge results in the term , where .
- Type III:
Two disjoint transpositions: These permutations have and contribute a product of 1. The number of such permutations is equal to the number of pairs of vertex-disjoint edges, given by , leading to the term .
- Type IV:
4-cycles: A 4-cycle permutation has and yields a non-zero product if and only if its vertices form a 4-cycle in G, contributing a product of 1. Each undirected 4-cycle corresponds to two cyclic orders, giving the term .
- Type V:
3-cycle with an isolated fixed point: These permutations have . Specifically, consider any permutation containing a 3-cycle where (forming a triangle in G) with an arbitrary fixed point (). For each such permutation, the product of the relevant entries from is and thus its total contribution to the coefficient is . The off-diagonal entries and the diagonal entries (particularly of the fixed point ) yield the observed character value. The inverse permutation contributes an identical amount, so for each triangle and each vertex , the combined contribution is . Summing over all triangles and all vertices not in gives:
This double sum is equivalent to , since for a fixed vertex , counts exactly the number of triangles that avoid .
For example, consider the Graph
with 5 vertices illustrated in
Figure 1. This graph contains two triangles:
and
. The degrees of the vertices are
,
,
,
and
. The number of triangles incident to each vertex is given by:
(as
belongs to both
and
),
(only in
),
(both triangles),
(only in
) and
(in no triangle). We now evaluate the expression:
This result is corroborated by a direct computation: for triangle , the vertices not belonging to it are and , whose degrees sum to ; for triangle , the external vertices are and , with degree sum . The total is therefore , which agrees with the previous calculation. Then we obtain:
Figure 1.
Graph with 5 vertices.
Figure 1.
Graph with 5 vertices.
Summing the contributions from all five types yields the final expression:
□
Lemma 1 (Bapat [
22])
. Let M be a positive semidefinite matrix. Then Note that every principal submatrix of the Laplacian matrix
of a graph
G is positive semidefinite; this follows from the well-known property that the Laplacian matrix
of
G itself is positive semidefinite, and all principal submatrices of any positive semidefinite matrix inherit this positivity. By Lemma 1 and Equation (
9), we derive the following inequality for
:
Theorem 3. Let G be a graph with n vertices, and the coefficient of in . Then Proof. Since the Laplacian matrix
is positive semidefinite, every principal submatrix
is also positive semidefinite. By Lemma 1, it follows that
for all
. Furthermore, the diagonal entries
and the coefficient
are nonnegative. Therefore, from Equation (
9), we conclude that
. On the other hand, it is not difficult to observe that the upper bound for the permanent of
k-th order principal submatrices of the complete graph
, obtained using the diagonal dominance matrix permanent bound [
23], serves as an upper bound for the permanent of
k-th order principal submatrices of any graph
G. Thus, Equation (
9) can be transformed into:
where
denotes the collection of all
-element subsets of
. □
At the end of this section, we characterize the broom graph as the minimizer of among trees with given diameter. First, we introduce necessary notations and lemmas.
Let G be a simple graph and be a vertex subset. Denote by the principal submatrix of the Laplacian matrix obtained by deleting rows and columns corresponding to vertices in W. When , we simply write ; when with , we write . For any vertex , let denote the collection of all cycles in G containing v and the set of vertices adjacent to v.
Let
be a symmetric matrix over the complex field. For any
, define a symmetric matrix
where
Thus,
is obtained by replacing the
-th and
-th entries of
B with zeros. For example, if
then
Clearly, if , then .
Lemma 2 (Chan and Lam [
9])
. Let denote the caterpillar graph of diameter k (see Figure 2), where pendant vertices are attached at the i-th position along the diameter. For any tree T with n vertices and diameter k, there exists an index depending on λ such thatMoreover, the inequality is strict unless for some .
Lemma 3. Let G be a simple graph and a vertex. Then Proof. Let . By definition of , we consider the product terms corresponding to permutations in the expansion of the Laplacian matrix , where denotes the -entry of . Note that and for , if , otherwise . Thus, if , then for every , either or . Without loss of generality, let , so .
Considering as a product of disjoint cycles, let be a cycle in and write . Define the set . Based on the length of , we partition P into three cases:
(fixed point at 1);
(transposition corresponding to edge );
is a cycle of length containing v}.
Since
,
(for any
), and
are pairwise disjoint with
, we have:
□
Remark 1. For the Young diagram (a first row of boxes and a second row of 1 box), the Murnaghan-Nakayama rule for simplifies to:
For a length-1 cycle (fixed point): Remove one of two possible length-1 rim hooks (last box of the first row or the single box of the second row), giving where is σ with the fixed point removed.
For a length-2 cycle (transposition): Remove the unique length-2 rim hook consisting of the last two consecutive boxes of the first row. This leaves the Young diagram, so where is σ with the transposition removed.
For a length- cycle: Remove the unique length-l rim hook consisting of the last l consecutive boxes of the first row. This leaves the Young diagram, so
where is σ with the l-cycle removed.
Using Remark 1 to compute the character values for each case, we proceed as follows:
- 1.
For
with
:
- 2.
For
with
:
- 3.
For each permutation
, the cycle
corresponds to a cycle
C of length
in the graph, with sign
and contributing a factor of 2 (since the cycle is reversible). Therefore,
where
are the vertices of the graph
.
Combining these results yields:
To facilitate subsequent proofs, for the n-vertex path graph , we employ the standard vertex labeling in which vertices are labeled consecutively as with for and edges are given by for .
Lemma 4. Let be the path graph with n vertices and its Laplacian matrix. Given as defined earlier, for and any , Proof. The proof proceeds by induction on
n. By path symmetry, we may assume
. The base case
is verified by computation (see
Appendix A):
. By Lemma 3, when we delete the second vertex
from the left in the path graph
(under the standard labeling where vertices are labeled
consecutively), which is adjacent to the pendant vertex
on one side and vertex
on the other side. By applying Lemma 3 to vertex
of
(adjacent to
and
), we derive:
Based on the proof of Lemma 3, the following recursive relation is obtained: for a cycle of length 2,
, where
is the permutation after removing the corresponding cycle. From the definition of the
-th immanant
and the proof of Lemma 3, we have:
Then we can combine Equations (
11) and (
12) to obtain:
The inequality follows because, as established by Corollary 2.13 in Ref. [
10], we have
≤
for all
and the induction hypothesis applies. □
Theorem 4. Let T be a tree with n vertices and diameter k. Thenwith equality holding if and only if T is the broom graph . Proof. By Lemma 2, it suffices to prove that
for
. We proceed by induction on
n. For the base case
, the broom graph
reduces to the path graph
, which is the unique tree with diameter
k and
vertices. Now consider
. By Lemma 3, removing any
pendant vertices
v with their incident edges
from
, we obtain
. The linearity of the permanent yields
, which combined with Equation (
7) gives
, where
reduces to the direct sum of an
-identity matrix and
.
![Axioms 14 00716 i001 Axioms 14 00716 i001]()
According to Equation (
6), we have
Brualdi and Goldwasser [
10] proved that among all trees with given diameter, the broom graph minimizes
. Combining Equations (
13) and (
14) with Lemma 4 and the induction hypothesis completes the proof of the theorem. □
3. The Properties of the -th Laplacian Immanantal Polynomials
In this section, we investigate the properties and prove that complete graphs with at most three edges removed are uniquely determined by their -th Laplacian immanantal polynomials. We begin by establishing several fundamental lemmas that will be crucial for our main results.
Lemma 5 (Merris, Theorem 2 [
20])
. Let G be a graph with n vertices and m edges and its Laplacian matrix. Thenwhere denotes the number of spanning trees in G. Lemma 6 (Johnson and Peirce [
24])
. Let A be an positive semidefinite Hermitian matrix, . ThenIf , equality holds if and only if A has a zero row, A is diagonal, or A has rank 1. If , then holds as an identity. Lemma 7 (Liu, Theorem 5 [
25])
. Let be a graph with n vertices and m edges and let be its degree sequence. For any two vertices i and j (), let denote the subgraph obtained by deleting vertices i and j from G and let denote the number of edges in this subgraph. Then the following identities hold: Theorem 5. Let G be a simple connected graph with at least one edge. Then the polynomial has no zero roots.
Proof. Assume 0 is a root of . By Lemmas 5 and 6, , which proves the theorem. □
Theorem 6. Let G be a simple connected graph with at least one edge. Then the polynomial has no negative real roots.
Proof. The
-th Laplacian immanantal polynomial of
G is
By Theorem 2, we have
and
. For
,
. Since
is positive semidefinite,
and
, so by Equation (
6) we have
.
Observe that . If n is odd, for all real , and . If n is even, for all real , and . Thus for all , when n is odd and when n is even. Therefore, any connected graph G with at least one edge has no negative real roots in . □
Substituting the expressions for and into Theorem 2, we obtain:
Corollary 1. Let G be a graph with n vertices and m edges and its Laplacian matrix. Then:where the coefficients satisfy: Here, counts triangles in G, counts triangles containing vertex and counts quadrilaterals.
Proof. We derive the expressions for
by substituting the combinatorial definitions of
and
into Theorem 2, using the identities established in Lemma 7 to handle the resulting summations. The calculations proceed as follows:
□
Theorem 7. The following can be deduced from the -th Laplacian immanantal polynomial of a graph G:
- (i)
The number of vertices.
- (ii)
The number of edges.
- (iii)
The sum of squares of vertex degrees.
Proof. (i) is obvious. From Corollary 1, we have the number of edges
and
Thus (ii) and (iii) hold. □
From Theorem 1, we know that if regular graph G is determined by its permanental polynomial, then G is also determined by its -th Laplacian immanantal polynomial. In the subsequent research of this section, we consider the case of non-regular graphs.
Let
H be a subgraph of
G and denote by
the subgraph obtained by deleting all edges of
H from
G. Let
denote the collection of all graphs obtained by deleting at most 3 edges from the complete graph
. These graphs are labeled as
where
and
, as illustrated in
Figure 3.
Lemma 8 (Zhang et al. [
26])
. Let be a graph with l edges and . Thenwhere denotes the number of triangles (3-cycles) in a graph G (or similarly, for graph H). From Theorem 7 and
Table 1, we easily obtain the following lemmas:
Lemma 9. The graphs , , , , , and are uniquely determined by their -th Laplacian immanantal polynomials.
Lemma 10. The graphs and are uniquely determined by their -th Laplacian immanantal polynomials.
Proof. Using Corollary 1 and Lemma 8, we calculate
This implies that graphs and are uniquely determined by their -th Laplacian immanantal polynomials. □
From Lemmas 9 and 10, we directly obtain the following theorem:
Theorem 8. All graphs in the collection are uniquely determined by their -th Laplacian immanantal polynomials.
4. The Solution of Problem 4
We begin with the following definitions: A pendant star of a graph is a maximal subgraph consisting of all pendant edges connected to a common central vertex. By this definition, we define the degree of a pendant star as the number of its pendant vertices (or pendant edges) minus 1. Furthermore, for any graph, we define its star degree as follows: if the graph contains pendant stars, the star degree equals the sum of the degrees of all pendant stars; otherwise, the star degree is zero. In this section, we prove that when a graph G has positive star degree, the multiplicity of 1 as a root of the polynomial is at least the star degree, thereby answering Problem 4. To this end, we first recall the following result on immanants of isomorphic matrices, which will be critical for our proof.
Proposition 1 ([
8])
. Let and be two isomorphic matrices and let λ be an arbitrary partition of n. Let denote the immanant function associated with the irreducible character of the symmetric group . Then there exists a permutation matrix P such that Corollary 2. Let and be two isomorphic matrices, denote the -th immanant. Then there exists a permutation matrix P such that Let
C be an
matrix. According to Equation (
2) and Corollary 2, we can conclude: If
, then 0 is a root of
with multiplicity at least
p.
Let
I be the identity matrix of order
n,
and suppose 0 is a root of
with multiplicity at least
p. Then
Therefore, 1 is a root of with multiplicity at least p.
If and are adjacency matrices corresponding to two different labelings of the same graph G, then there exists a permutation matrix P such that . This conclusion also applies to and , where and . By Corollary 2, the -th immanantal polynomial of the matrix is independent of the specific labeling of the graph.
In the proof of Theorem 9, we will use instead of , as they have the same roots.
Theorem 9. Let G be a simple connected graph. If the star degree of G is not zero, then the multiplicity of the root 1 in the polynomial is greater than or equal to the star degree of G.
Proof. We consider only simple connected graphs and further assume that the number of vertices , otherwise Theorem 9 holds trivially.
When the star degree , the graph contains r pendant stars (), each containing pendant vertices (), respectively, with . We can label the vertices as follows: label the r central vertices as ; label the pendant vertices adjacent to as , the vertices adjacent to as and so on; the remaining non-pendant vertices can be arbitrarily labeled as .
With this labeling Q(G) has the form
Under this notation, the matrix satisfies for . We need to prove that the root 1 of the polynomial has multiplicity at least p, which is equivalent to showing that the root 0 of the polynomial has multiplicity at least p.
Consider the matrix , which has the following block structure:
![Axioms 14 00716 i003 Axioms 14 00716 i003]()
We first prove that 0 is a root of multiplicity at least
p for
. Given
with
(implying
), observe that
and all its submatrices are nonnegative. Every principal submatrix of order
contains a
zero submatrix and since
. Therefore, by Frobenius-König theorem, all order
principal minors of
have
. In fact, all submatrices of order
have an
zero submatrix which appears in the top left corner and thus the conditions of Frobenius and Konig’s theorem are satisfied for all these submatrices. By the Laplace expansion for permanents, we can conclude that the permanent of all submatrices of order
k of
, with
, is zero; in particular, the permanent of all principal submatrices of order
k (that is, the permanental polynomial coefficient
),
, is zero. From Equation (
9)
and its consequences, we conclude that the
of all principal submatrices of order
k,
, is zero. Furthermore, the same argument shows that the coefficients
are also zero, establishing that 0 is a root of multiplicity at least
p for
. Consequently, 1 is a root of multiplicity at least
p for
. □
Remark 2. When the star degree of G is zero, there exist graphs G with star degree zero such that either or . We know that when , then 1 is a root of ; when , then 1 is not a root of .
We provide four specific examples (see Figure 4) to illustrate that when the star degree of G is zero, the multiplicity of the root 1 in may equal the star degree of G or may be greater than the star degree of G. (a) There exists a graph G without pendant stars (i.e., G has no pendant vertices) and .
Example: For graph shown, .
(b)
There exists a graph G without pendant stars and .
Example: For graph shown, .
(c)
There exists a graph G containing pendant stars of degree zero (i.e., all pendant stars contain exactly one pendant vertex) and .
Example: For graph shown, .
(d)
There exists a graph G containing pendant stars of degree zero and .
Example: For graph shown, .