Abstract
The total graph of G, is the graph whose vertex set is the union of the sets of vertices and edges of G, where two vertices are adjacent if and only if they stand for either incident or adjacent elements in G. For , the k-th iterated total graph of G, , is defined recursively as where and If G is a connected graph, its diameter is the maximum distance between any pair of vertices in G. The incidence energy of G is the sum of the singular values of the incidence matrix of G. In this paper, for a given integer k we establish a necessary and sufficient condition under which . In addition, bounds for the incidence energy of the iterated graph are obtained, provided G is a regular graph. Finally, new families of non-isomorphic cospectral graphs are exhibited.
1. Introduction
Let G be a simple connected graph of order n, and its vertices. An edge e with end vertices u and v will be denoted by . Sometimes, after a labeling of the vertices of G, a vertex is simply referred to by its label i, and an edge is simply referred to as . The incident vertices to the edge are i and j. The distance between two vertices and in G is equal to the length of the shortest path in G joining and , denoted by . The diameter of G, denoted by , is the maximum distance between any pair of vertices in G. The above distance provides the simplest and most natural metric in graph theory, and its study has recently received increasing interest in discrete mathematics research. As usual, , , , and denote, respectively, the complete graph, the path, the cycle, and the star of n vertices.
The line graph of G, denoted by , is the graph whose vertices are the edges of G, where two vertices are adjacent if the corresponding edges in G have a common vertex. The k-th iterated line graph of G is defined recursively as , , where and . Metric properties of the line graph have recently been extensively studied in the mathematical literature [1,2,3,4,5], and it found remarkable applications in chemistry [6,7,8,9].
The total graph of G, denoted by , is the graph whose vertex set corresponds union of set of vertices and edges of G, where, two vertices are adjacent if their corresponding elements are either adjacent or incident in G. The k-th iterated total graph of G is defined recursively as , , where and .
The incidence matrix, is the matrix whose -entry is 1 if is incident to , and 0 otherwise. It is known that
and
where is the signless Laplacian matrix of G and is the adjacency matrix of the line graph of G. Our results can be applied to several disciplines—in engineering for example, solid materials with discrete lattices are modeled to this type of graph. Some recent papers have focused on this application (see, for instance, [10,11,12] and references therein). In [13,14], the authors introduced the concept of the incidence energy of G as the sum of the singular values of the incidence matrix of G. It is well-known that the singular values of a matrix M are the nonzero square roots of or , as these matrices have the same nonzero eigenvalues. From these facts and (1), it follows that
where are the signless Laplacian eigenvalues of G.
In [13], Gutman, Kiani, Mirzakhah, and Zhou proved that
Theorem 1
([13]). Let G be a regular graph on n vertices of degree r. Then,
where and are the order and degree of , respectively. Equality holds if and only if .
This paper is organized as follows. In Section 2, we establish conditions on a graph G, so that the diameter of does not exceed k, . Additionally, conditions so that the diameter of is greater than or equal to k, , are established. Moreover, we establish a necessary condition so that the diameter of is not greater than or equal to , , . In Section 3, we derive upper and lower bounds on the incidence energy for the iterated total graphs of regular graphs. Additionally, we construct some new families of non-isomorphic cospectral graphs.
2. Diameter of Total Graphs
In this section, for we establish necessary and sufficient conditions for a graph G, so that the diameter of does not exceed . Moreover, for we establish necessary and sufficient conditions for a graph G, so that the diameter of is strictly greater than .
2.1. Main Results
Before proceeding, we need the following definitions.
Definition 1.
A path P with end vertices u and v in a connected graph G is called a diameter path of G if P has vertices and .
Definition 2.
A subgraph H of a connected graph G is called diameter subgraph of G if H has a diameter path of G as a subgraph.
Definition 3.
The Lollipop is the graph obtained from a cycle with g vertices by identifying one of its vertices with a vertex of path length . Note that this graph has n vertices and diameter . In Figure 1 we display an example of Lollipop .
Figure 1.
A Lollipop .
In [15] it was conjectured that is the non-bipartite graph of order n with minimum smallest signless Laplacian eigenvalue
Lemma 1.
Let G be a connected graph on n vertices. Then, either or or is a diameter subgraph of G for some , where .
Proof.
The result can be easily verified for graphs of order . Consequently, we assume . If , then , and is not a diameter subgraph of G for all , where . We claim that for any pair of vertices in . Let , be two vertices in such that . Then, there must exist vertices in , say , such that is adjacent to , , where is adjacent to .
- If are vertices of G, then we can assume that is a vertex of G, . Then, , which is impossible.
- If are vertices of the line graph of G, that is to say if are edges of G, then we can assume that is an edge of G, . Thus, , which is impossible.
- If is a vertex of G and is an edge of G, say , we can assume without loss of generality that is a vertex of or is an edge of . Suppose that is a vertex of . Then, . Since , then . In addition, . Thereby, is a diameter subgraph of G some , where , which is impossible. Otherwise, suppose is an edge of , with then . Since , then . Moreover, . Thus, is a diameter subgraph of G for some , where , which is impossible.That is, for any pair of vertices in , which is a contradiction.
☐
Before proceeding, we need to establish the following facts about the line graphs.
Lemma 2
([16]). If H is an induced subgraph of G, then is an induced subgraph of .
Let us denote by the path of length , . Let be the vertices of so that for is adjacent to .
Let and be the graphs obtained from by adding the edge , and the edges and respectively. Note that , , and have diameter (see Figure 2).
Figure 2.
Graphs , , and .
Theorem 2.
Let . Then, if and only if all the following conditions fail to hold:
- , , and are induced subgraphs of G, and
- is a diameter path of G, and
- is a diameter subgraph of G for some , where .
Proof.
The result can be easily verified for graphs of order . Consequently, we assume that . Let , and suppose that . If is a diameter path of G, by Lemma 1, , which is a contradiction. Suppose that is an induced subgraph of G, by Lemma 2, is an induced subgraph of . Thus, is an induced subgraph of . Therefore, , which is a contradiction. Similarly, we prove that and are not induced subgraphs of G. Moreover, if is a diameter subgraph of G for some , where , then , which is a contradiction. Conversely, suppose that and . By Lemma 1, we have the following cases:
- Case 1: Suppose . If , then is a diameter path in G—a contradiction. If , then is an induced subgraph of G—a contradiction.
- Case 2: Suppose , then there must exist edges in G, say , such that is incident to in G, , and . Let , . Then
- (i)
- If is not adjacent to and is not adjacent to , then is an induced subgraph of G—a contradiction.
- (ii)
- If is adjacent to (or is adjacent to ), then is an induced subgraph of G—a contradiction.
- (iii)
- If is adjacent to and is adjacent to , then is an induced subgraph of G—a contradiction.
- Case 3: Suppose that is a diameter subgraph of G for some , where . If , then is a diameter subgraph of G for some , where —a contradiction. If , then is a diameter path of G—a contradiction. If , then is an induced subgraph of G—a contradiction.
☐
An equivalent result to Theorem 2 is given below.
Theorem 3.
Let . For a connected graph G, if and only if some of the following conditions are verified:
- or or is an induced subgraph of G, or
- is a diameter path of G, or
- is a diameter subgraph of G for some , where .
The following results characterize some subgraphs of according to the diameter of either or G. Evidently, if and only if .
Lemma 3.
For a connected graph G, if , then some of the following conditions are verified:
- or , or is an induced subgraph of G, or
- is a diameter subgraph of G.
Proof.
Let G be a connected graph such that , then there exists 4 vertices, say such that is adjacent to , for .
- (i)
- If is not adjacent to , is not adjacent to and is not adjacent to , then is an induced subgraph of G. Moreover, since , then is a diameter path of G for some v. Hence, is a diameter subgraph of G.
- (ii)
- If is adjacent to (or is adjacent to ) and is not adjacent to , then is an induced subgraph of G.
- (iii)
- If is adjacent to , is adjacent to and is not adjacent to , then is an induced subgraph of G.
- (iv)
- If is adjacent to , is not adjacent to and is not adjacent to , then is an induced subgraph of G.
☐
Corollary 1.
Let G be a connected graph. Then
- a.
- if and only if .
- b.
- If the following conditions fail to hold:
- , and is an induced subgraph of G, and
- is a diameter subgraph of G,
then if and only if or .
Proof.
- a.
- If , then all the vertices of are adjacent. That is, . Thus, .Conversely, let and . Then, there exists two different edges in G, say and . Thus, . Therefore, —a contradiction.
- b.
- Suppose that none of the three graphs , , and are induced subgraphs of G, and that is not a diameter subgraph of G. By Lemma 3 it does not occur that . Now, if , by Lemma 1 some of the following cases are verified:
- Case 1: . Then, , thus any couple of edges of G are incidents. Consequently, or . Since , we concluded that .
- Case 2: . Then, , thus any couple of vertices of G are adjacents. Therefore, .
- Case 3: is a diameter subgraph of G. Then, . Thus, .
Conversely, let . Then, any couple of vertices in G are at distance 1. Let and be two different edges in G. If and are incident edges, then . Otherwise, since is an edge in G, we have . Finally, let be an edge of G and let v be a vertex of G. If or , then . Otherwise, since is an edge of G, then . Hence, .If , then all the edges of G are incidents to a common vertex. Therefore, all vertices are pairwise incident in and thus . Hence, . Moreover, all vertices are adjacents to a common vertex in G. Then, . Finally, since , then any edge of G and any vertex of G are to distance less than or equal to 2. Therefore, .
☐
2.2. Results for Iterated Total Graphs
Theorem 4.
Let and . Let G be a connected graph such that
Then, is an induced subgraph of G.
Proof.
Suppose . By Theorem 3, we have
- or or is an induced subgraph of , or
- is a diameter path of , or
- is a diameter subgraph of for some , where .
Moreover,
- (a)
- If is an induced subgraph of , then either or is an induced subgraph of or is an induced subgraph of . Since , then is an induced subgraph of .
- (b)
- If is an induced subgraph of , then is an induced subgraph of . By , is an induced subgraph of .
- (c)
- If is an induced subgraph of , then is an induced subgraph of . By , is an induced subgraph of .
- (d)
- If is a diameter path of , then either or is a diameter path of or is a diameter path of . Since , then is an induced subgraph of .
- (e)
- If is a diameter subgraph of , for some , where . Then, is a diameter path of . By , is a diameter path of .
Therefore, is an induced subgraph of . By (a), is an induced subgraph of . Then, is an induced subgraph of . Following this process, we concluded that is an induced subgraph of G. ☐
Theorem 5.
Let , and G be a connected graph. If be an induced subgraph of G, then
Proof.
Suppose is an induced subgraph of G, then is an induced subgraph of . Moreover, is an induced subgraph of . Following this process, we concluded that is an induced subgraph of . Then, the graph with vertices
is an induced subgraph of isomorphic to . By Theorem 3, .
2.3. Results for Iterated Line Graphs
Let be the path with vertices , where is adjacent to , , . Let be the graph obtained from by joining two new vertices to the vertex and another two new vertices the vertex . Thus, has vertices and edges. Let be a path on the vertices , where is adjacent to , , . Let be the graph obtained from by joining two new vertices to the vertex . Note that and have diameter (see Figure 3).
Figure 3.
Graphs and .
Lemma 4
([5]). Let G be a connected graph with vertices. Let . Then, , if and only if either or or is an induced subgraph of G.
Considering Lemma 4, the next result is obtained.
Corollary 2.
Let G be a connected graph.
- a.
- If and such thatThen is an induced subgraph of G.
- b.
- If such that or or is an induced subgraph of G. Then
Proof.
- a.
- Suppose . By Lemma 4, or or is an induced subgraph of . Then, is an induced subgraph of . Since . Then, is an induced subgraph of . Thus, is an induced subgraph of . Then, is an induced subgraph of . Following this process, we concluded that is an induced subgraph of G.
- b.
- Suppose or or is an induced subgraph of G. By Lemma 2, or or is an induced subgraph of . Moreover, , , and . By Lemma 4, .
☐
3. Energy of Iterated Graphs
In this section, we derive bounds on the incidence energy of iterated total graphs of regular graphs. Furthermore, we construct new families of non-isomorphic cospectral graphs.
3.1. Incidence Energy of Iterated Graphs
The basic properties of iterated line graph sequences are summarized in References [17,18].
The line graph of a regular graph is a regular graph. In particular, the line graph of a regular graph of order and degree is a regular graph of order and degree . Consequently, the order and degree of are (see [17,18]):
, and , where and stand for the order and degree of . Therefore,
and
Theorem 6.
Let G be a regular graph of order and degree , then for the k-th iterated total graph of G is a regular graph of degree and order , where
- 1.
- , and
- 2.
- .
Proof.
Let . Suppose that the -th iterated total graph of G is a regular graph of order and degree .
- Let v be a vertex of the k-th iterated total graph of G. Then
- Case a: If v is a vertex of the -th iterated total graph of G, then v is adjacent to vertices and incident to edges in . Thus, the degree of v in is
- Case b: If v is an edge of the -th iterated total graph of G, then v is adjacent in each extreme to edges and incident to its two extreme vertices in . Thus, the degree of v in is
Therefore, the k-th iterated total graph of G is a regular graph of degree - Let be a regular graph with edges, then . Therefore, the order of the k-th iterated total graph of G is
☐
Repeated application of the previous theorem generates the following result.
Corollary 3.
Let G be a regular graph of order and degree , then for the k-th iterated total graph of G is a regular graph of degree and order , where
and
The following result gives the eigenvalues of for a regular graph of order n and degree r.
Lemma 5
([19]). Let G be a regular graph of order n and degree r. Then, the eigenvalues of are
where is an eigenvalue of G.
Now we consider bounds for the incidence energy of the iterated total graph.
Theorem 7.
Let G be a regular graph of order n and degree r. Then
- and
- .
Equality holds if and only if .
Proof.
1. Let , then G is union disjoint of copies of and is union disjoint of copies of . That is, and , where n is even. Since , it follows that . Therefore, if
with equality if and only if that is, .
Let . Since G is a regular graph of degree r. From Theorem 6, is a regular graph of degree . From Lemma 5, the signless Laplacian eigenvalues of are
where is an eigenvalue of G.
From Perron–Frobenius’s theory, and for . By definition of the incidence energy of a graph, we have
Let
and
where . Thus,
It is clear that is an increasing function for .
Since , then there exists for some . Therefore, the equality does not hold. ☐
Corollary 4.
Let G be a regular graph of order and degree , and let for , the iterated total graph of G be of degree and order . Then,
- , and
- .
Equality holds if and only if and .
Corollary 5.
Under the notation specified in Corollary 3, for any integer k
- , and
- .
Equality holds if and only if and .
3.2. An Application: Constructing Non-isomorphic Cospectral Graphs
Many constructions of cospectral graphs are known. Most constructions from before 1988 can be found in [20], Section 6.1, and [21], Section 1.3; see also [22], Section 4.6. More recent constructions of cospectral graphs were presented by Seress [23], who gives an infinite family of cospectral 8-regular graphs. Graphs cospectral to distance-regular graphs can be found in [20,21,22,23,24,25,26]. Notice that the graphs mentioned are regular, so they are cospectral with respect to any generalized adjacency matrix, which in this case includes the Laplace matrix.
Let us consider the functions
and
Theorem 8.
Let and be two regular graphs of the same order and degree and , respectively. Then, for any , the following hold
- (a)
- and are of the same order, and have the same edges number.
- (b)
- and are cospectral if and only if and are cospectral.
4. Conclusions
In this article, in Section 2, necessary and sufficient conditions such that the diameter of the total graph of a graph are less than or equal to a given integer k are established, . Additionally, we introduce necessary and sufficient conditions such that the diameter of the -th iterated line and total graph of a graph are greater than the difference between two given integers k and r. In Section 3, upper and lower bounds are determined for the incidence energy of the total graph of a regular graph, depending on the order and degree of the graph. Finally, we obtain an application for the construction of non-isomorphic cospectral graphs.
Author Contributions
E.E., E.M.-Z., M.R. and J.R. have been contributed equally in the research and writing of this manuscript.
Funding
This research received no external funding.
Acknowledgments
Eber Lenes was supported by Departamento de Investigaciones of the Universidad del Sinú, Colombia, Exequiel Mallea-Zepeda was supported by Proyecto UTA-Mayor 4740-18, Universidad de Tarapacá, Chile and Maria Robbiano was partially supported by project VRIDT UCN 170403003. The authors express their gratitude to professor Ricardo Reyes of Universidad de Tarapacá for his valuable corrections and suggestions in the translation of the manuscript into english language.
Conflicts of Interest
The authors declares no conflict of interest.
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