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Abstract
In the past decades, graphs that are determined by their spectrum have received more attention, since they have been applied to several fields, such as randomized algorithms, combinatorial optimization problems and machine learning. An important part of spectral graph theory is devoted to determining whether given graphs or classes of graphs are determined by their spectra or not. So, finding and introducing any class of graphs which are determined by their spectra can be an interesting and important problem. A graph is said to be if there is no other non-isomorphic graph with the same signless Laplacian spectrum. For a
graph
, we show that
is
under certain conditions, where
,
are natural numbers and
and
denote the complete graphs on one vertex and two vertices, respectively. Applying these results, some
graphs with independent edges and isolated vertices are obtained.
1 Introduction
Let be a simple graph with vertex set
and edge set
. Denote by
the degree of vertex
. All graphs considered here are simple and undirected. All notions on graphs that are not defined here can be found in [Citation1–5]. The join of two graphs
and
is a graph formed from disjoint copies of
and
by connecting each vertex of
to each vertex of
. We denote the join of two graphs
and
by
. The complement of a graph
is denoted by
.
Let be the
-adjacency matrix of graph
. The characteristic polynomial of
is
, and it is denoted by
. Let
,
, …,
be the distinct eigenvalues of
with multiplicities
,
, …,
, respectively. The multi-set of eigenvalues of
is called the signless Laplacian spectrum of
. The matrices
and
are called the Laplacian matrix and the signless Laplacian matrix of
, respectively, where
denotes the degree matrix. Note that
is diagonal. The multi-set
of eigenvalues of
is called the signless Laplacian spectrum of
, where
denote the multiplicities of
. The Laplacian spectrum is defined analogously.
For any bipartite graph, its -spectrum coincides with its
-spectrum. Two graphs are
-cospectral (resp.
-cospectral,
-cospectral) if they have the same
-spectrum (resp.
-spectrum,
-spectrum). A graph
is said to be
(resp.
,
) if there is no other non-isomorphic graph
-cospectral (resp.
-cospectral,
-cospectral) with
. Van Dam and Haemers [Citation6] conjectured that almost all graphs are determined by their spectra. Nevertheless, the set of graphs that are known to be determined by their spectra is too small. So, discovering infinite classes of graphs that are determined by their spectra can be an interesting problem. About the background of the question “Which graphs are determined by their spectrum?”, we refer to [Citation6]. It is interesting to construct new
(
) graphs from known
(
) graphs. For a
graph
, the join
is also
under some conditions [Citation7]. Actually, a graph is
if and only if its complement is
. Hence we can obtain
graphs from known
graphs by adding independent edges.
Up to now, only some graphs with special structures are shown to be determined by their spectra (DS, for short) (see [Citation1,8–30] and the references cited in them).
In this paper, we investigate signless Laplacian spectral characterization of graphs with independent edges and isolated vertices. For a graph
, we show that
is
under certain conditions. Applying these results, some
graphs with independent edges and isolated vertices are obtained.
2 Some definitions and preliminaries
Some useful established results about the spectrum are presented in this section, will play an important role throughout this paper.
Lemma 2.1
[Citation4,9,17] For the adjacency matrix, the Laplacian matrix and the signless Laplacian matrix of a graph , the following can be deduced from the spectrum:
(1) The number of vertices.
(2) The number of edges.
(3) Whether G is regular.
For the Laplacian matrix, the following follows from the spectrum:
(4) The number of components.
For the signless Laplacian matrix, the following follow from the spectrum:
(5) The number of bipartite components.
(6) The sum of the squares of degrees of vertices.
Lemma 2.2
[Citation17] Let be a graph with
vertices,
edges and
triangles and vertex degrees
. Let
, then
For a graph , let
and
denote the product of all nonzero eigenvalues of
and
, respectively. We assume that
if
has no edges.
Lemma 2.3
[Citation4] For any connected bipartite graph of order
, we have
, where
is the number of spanning trees of
.
For a connected graph with
vertices and
edges,
is called unicyclic (resp. bicyclic) if
(resp.
). If
is a unicyclic graph that contains an odd (resp. even) cycle, then
is called odd unicyclic (resp. even unicyclic).
Lemma 2.4
[Citation31] For any graph ,
if and only if
is an odd unicyclic graph. If
is a non-bipartite connected graph and
, then
, with equality if and only if
is a non-bipartite bicyclic graph with
as its induced subgraph.
Lemma 2.5
[Citation32] Let be a proper subgraph of a connected graph
. Then,
.
3 Main results
We first investigate spectral characterizations of the union of a tree and several complete graphs and
.
Theorem 3.1
Let be a
(
) tree of order
. Then
is
.
Proof
Let be any graph
-cospectral with
. By Lemma 2.1,
has
vertices,
edges and
components. So each component of
is a tree. Suppose that
, where
is a tree with
vertices and
. Since
is
-cospectral with
, by Lemma 2.3, we get
. We claim that
. Suppose not and so
. Therefore,
and since
, one may deduce that
or
. Now if
, then
, a contradiction. Hence
. By a similar argument one may show that
and so
and
. Hence
. Since
and
are
-cospectral,
and
are
-cospectral. Since
is
, we have
,
. Hence
is
. Let
be any graph
-cospectral with
. By Lemma 2.1,
has
vertices,
edges and
bipartite components. So one of the following holds:
(i) has exactly
components, and each component of
is a tree.
(ii) has
components which are trees, the other components of
are odd unicyclic.
If (i) holds, then and
are both bipartite, so they are also
-cospectral. Since
is
, we have
.
If (ii) holds, then by Lemma 2.4, is divisible by 4. Since
is a tree of order
, by Lemma 2.3,
is divisible by 4. Hence
is
when
is not divisible by 2 and
.
Remark 1
Some trees are given in [33–38]. We can obtain
(
) graphs with independent edges and isolated vertices from Theorem 3.1.
Theorem 3.2
Let be a
odd unicyclic graph of order
. Then
is
.
Proof
Let be any graph
-cospectral with
. By Lemma 2.4,
. By Lemma 2.1,
has
vertices,
edges and
bipartite components. So one of the following holds:
(i) has exactly
components, and each component of
is a tree.
(ii) has
components which are trees, the other components of
are odd unicyclic.
If (i) holds, then we can let , where
is a tree with
vertices and
. Since
, by Lemma 2.3, we have
,
.
Since contains a cycle, we have
. Let
be the maximum degree of
. If
, then all components of
are paths, i.e.,
, a contradiction. So
. From
and
, we know that
(without loss of generality),
and
. Since
has
vertices, we get
, a contradiction to
.
If (ii) holds, then we can let , where
is odd unicyclic,
is a tree with
vertices. By Lemmas 2.3 and 2.4,
. So
,
and
. Since
and
are
-cospectral,
and
are
-cospectral. Since
is
, we have
,
Remark 2
Some unicyclic graphs are given in [39–44]. We can obtain
graphs with independent edges and isolated vertices from Theorem 3.2.
Theorem 3.3
Let be a non-bipartite
bicyclic graph with
as its induced subgraph and
. Then
is
.
Proof
Let be any graph
-cospectral with
. By Lemma 2.4, we have
. By Lemma 2.1,
has
vertices,
edges and
bipartite components, where
. So
has at least
components which are trees. Suppose that
are
bipartite components of
, where
are trees. If
contains an even cycle, then by Lemma 2.3, we have
, and
if and only if
. Since
has
vertices, we get
, a contradiction (
contains
). Hence
are trees. Since
has
vertices,
edges and
bipartite components,
has a non-bipartite component
which is a bicyclic graph. Lemma 2.4 implies that
, and
if and only if
and
contains
as its induced subgraph. By
, we have
. Since
and
are
-cospectral,
and
are
-cospectral. Since
is
, we have
. Hence
is
Remark 3
Some bicyclic graphs are given in [45–48]. We can obtain
graphs with independent edges and isolated vertices from Theorem 3.3.
Theorem 3.4
Let be a
connected non-bipartite graph with
vertices. If
is
-cospectral with
, then
is a
graph.
Proof
By Lemma 2.1, has
vertices and at least
bipartite components. We perform the mathematical induction on
.
has
components. Since
has at least
bipartite components, each component of
is bipartite. Suppose that
, where
is a connected bipartite graph with
vertices, and
. Since
and
are
-cospectral, by Lemma 2.1,
is a connected non-bipartite graph.
Let . For
,
, since
has
or
as its subgraph. Obviously
has exactly
eigenvalues that are zero. We show that if
is
-cospectral with
, then
is a
graph. First we show that there is no connected graph
-cospectral with
. In fact we prove that
cannot have 2 as its eigenvalue. Obviously,
. But, in this case
and
, which means that
must be connected. Otherwise,
contains 0 as its signless eigenvalues, a contradiction. Therefore,
is a proper subgraph of
and so
(see Lemma 2.5), a contradiction. Therefore,
cannot have 2 as its eigenvalue. By what was proved one can easily conclude that
, since
is not a bipartite graph and so has not
as an its signless Laplacian eigenvalue. Therefore,
.
Now, let the theorem be true for ; that is, if
, then
. We show that it follows from
that
. Obviously,
has
vertices, one edge and one bipartite component more than
. So, we must have
.
Remark 4
In the following results graph in
is a connected non-bipartite.
Corollary 3.1
The graph is
.
Proof
From [Citation6] (Proposition 7), if , then
is
. For
, by Theorem 3.4 the result follows.
In [Citation49], Cámara and Haemers proved that a graph obtained from by deleting a matching is
. In [Citation50], it have been shown that this graph is also
.
Corollary 3.2
Let be the graph obtained from
by deleting a matching. Then
is
.
Proof
From [Citation6] (Proposition 7), if , then
is
. For
, by Theorem 3.4 the result follows.
A regular graph is if and only if it is
[Citation6]. It is known that a
-regular graph of order
is
when
[Citation17]. Hence a
-regular graph of order
is
when
.
Corollary 3.3
Let be a connected
-regular graph of order
. Then
is
.
Corollary 3.4
Let be a connected
-regular graph of order
. Then
is
.
Corollary 3.5
Let be a connected
-regular
graph. Then
is
.
Remark 5
Some -regular
graphs are given in [Citation6,51]. We can obtain
graphs with independent edges and isolated vertices and isolated vertices from Corollary 3.4.
Corollary 3.6
Let denote the friendship graph and
be
-spectral with
, then
is
.
Proof
It is well-known that is
. By Theorem 3.4 the proof is completed.
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