1. Introduction
A property of a graph that is preserved by the graph isomorphism is known as a graph invariant (see [
1]). The real-valued graph invariants are frequently referred to as topological indices. The readers are referred to [
1,
2,
3] for (chemical) graph theory terminology and notations.
The connectivity index (often referred to as the Randić index, which was initially developed in [
4] with name “branching index”) has taken a significant position among the most studied and implemented topological indices. The connectivity index is thought to be the topological index that has been studied the most, in terms of theory as well as implementation, according to [
5]. This index for a graph
G is represented by the following number:
where
stands for the degree of a vertex
v in
G, and
stands for the edge set of
G. (If more than one graph is being considered, we express the degree of
v in
G using the notion
to prevent confusion). More details on the research of the connectivity index may be found in the survey papers [
6,
7], books [
8,
9], and related works cited therein.
The scientific literature now contains a number of variants of the connectivity index due to its growing popularity. The sum-connectivity (SC) index [
10] and the atom-bond connectivity (ABC) index [
11,
12] are two of the variants of the connectivity index that have been the subject of substantial investigation; these indices have the following definitions
and
The SC index’s fundamental idea was used in [
13] to produce the atom-bond sum-connectivity (ABS) index, a new variation of the ABC index. The ABS index of a graph
G is defined as
In [
13], certain extremal results about the ABS index of (chemical) trees and general graphs were reported. Article [
14] not only gives a solution to an extremal problem involving the ABS index for unicyclic graphs, but it also reports chemical uses of the ABS index. The trees with the lowest ABS index were examined in [
15,
16] independently, with a specified number of vertices of degree 1 and a fixed order. Further existing results on the ABS index can be found in [
17,
18,
19].
The general ABS index [
14] for a graph
G is defined as
where
can assume any real number with the constraint that the graph
G must satisfy the following property when
:
for every edge
. Note that if the inequality
holds for every
, then
can also be defined as
where
, which is the degree of the edge
. Here, we highlight that the general ABS index (and subsequently the ABS index) is a special case of a more general topological index that was first investigated in [
20].
In the upcoming section, the chemical usefulness of
is examined on the data set of twenty-five benzenoid hydrocarbons for predicting their enthalpy of formation for
; it was found that the predictive ability of the index
for the selected property of the considered hydrocarbons is comparable to other existing general indices of this type. Investigating the impact of the addition of an edge in a non-complete graph under
is the focus of
Section 3, where a non-complete graph is one that differs from the complete graph. In
Section 4, a number of extremal problems about trees, general graphs, and triangle-free graphs of a given number of vertices are addressed.
2. Chemical Applicability of
In the current section, the significance of
is examined on the data set of twenty-five benzenoid hydrocarbons (having names given in
Table 1) for predicting the enthalpy of formation
of the mentioned hydrocarbons for
. The experimental data (given in
Table 1) for the selected property of these hydrocarbons is taken from [
21,
22].
First, we calculate the ABS, ABC, SC and R indices of molecular graphs of the twenty-five benzenoid hydrocarbons under consideration. For doing this, we establish a general expression for evaluating the aforementioned indices. By a hexagonal system, we mean a molecular graph of a benzenoid hydrocarbon. In a hexagonal system, a vertex of degree 3 lying on three hexagons is known as an internal vertex; a vertex that is not an internal vertex is referred to as an external vertex. In addition, in a hexagonal system, an edge whose both end vertices are incident to external vertices is called an external edge; an edge that is not an external edge is known as an internal edge. For example, see
Figure 1 where internal/external vertices are indicated by black/white vertices, respectively, while internal/external edges are indicated by thin/bold edges, respectively. A hexagonal system possessing no internal vertex is commonly referred to as a catacondensed hexagonal system. In a catacondensed hexagonal system, an edge whose every vertex has degree 3 is referred to as a branched hexagon. By a kink in a catacondensed hexagonal system, we mean a hexagon possessing exactly one pair of adjacent vertices of degree 2. For further information regarding hexagonal systems, the readers are referred to [
23].
Let
be any catacondensed hexagonal system possessing
h hexagons, from which
are kinks and
are branched hexagons. Then, one has
where
is the cardinality of the set
Thus, by making use of the formula of
, we have
which is equivalent to
The value of
can be calculated by utilizing Formula (
1). By utilizing the obtained information about the number of edges of different types in any catacondensed hexagonal system, we now derive a general version of (
1). A bond incident degree (BID) index of
is defined as
which implies that
which is equivalent to
Now, we calculate the ABS, ABC, SC and R indices of molecular graphs of the benzenoid hydrocarbons having names given in
Table 1 (the calculated values of the mentioned indices are also given in the same table); we remark here that most of these molecular graphs are catacondensed hexagonal systems, and hence, the mentioned indices are calculated by utilizing (
3).
Now, we calculate the correlation coefficient between
and the ABS, ABC, SC and R indices for the hydrocarbons mentioned in
Table 1. From
Table 2, it follows that all the four examined indices perform almost the same in predicting the enthalpy of formation of the hydrocarbons mentioned in
Table 1.
If
or
or
, then Equation (
2) yields
or the sum-connectivity index
or the general Randić index
, respectively. Next, we calculate the correlation coefficient between
and
,
,
,
for the hydrocarbons mentioned in
Table 1. The positive values for the correlation
r (between the selected property of the considered hydrocarbons and
,
,
,
), with
, are depicted in
Figure 2,
Figure 3,
Figure 4 and
Figure 5. The maximum positive values for the correlation
r (between the selected property of the considered hydrocarbons and
,
,
,
), with
, are given in
Table 3.
Table 3 indicates that the maximum positive values for the correlation
r of the examined four indices are neither considerably different from one another nor significantly better than the ones given in
Table 2.
4. Extremal Results
This section is devoted to proving several extremal results concerning trees, general graphs, and triangle-free graphs of a given order. The following lemma is very crucial in proving the first main result of this section.
Lemma 2. For a fixed positive real number γ greater than or equal to , define a function aswhere . The function is strictly increasing. Proof. Throughout the proof, it is assumed that
. The derivative function
of
is determined as
In order to prove the result, it is enough to show that
or
which is equivalent to
for
. In what follows, we prove (
4).
The mean value theorem confirms the existence of the numbers
and
with
and
such that
If
, then
(because
) and thence from (
5) and (
6), the inequality (
4) follows.
If
, then
(because
and
) and thence from (
5) and (
7), the inequality (
4) follows.
Finally, if
, then
(because
and
) and thence from (
5) and (
8), the inequality (
4) follows. □
The following elementary lemma is also used in the proof of the first main result (that is Theorem 1) of this section.
Lemma 3. For every positive (negative) real number γ, the function defined below is strictly increasing (decreasing, respectively) in both α and βwhere . Let be a non-trivial path in a graph G. The path P is pendent if and only if , and when . Two pendent paths of a graph are said to be adjacent if they have a vertex in common.
Theorem 1. For , if H is a graph with a minimum value of in the family of all connected graphs of size m and order n, then the graph H possess no adjacent pendent paths.
Proof. We prove the contra-positive statement of the theorem. Assume that and are adjacent pendent paths in H, where and are pendent vertices, and . Denote by the graph deduced from H by dropping the edge and by adding the edge . Obviously, and . In the following, we show that the inequality holds, which gives the conclusion of the contra-positive statement of the theorem. Take and assume that .
Case 1. .
By utilizing the definition of
and Lemma 3, one has
Case 2. and .
In this case, again one obtains
Case 3. .
In this case, by using Lemma 3, we have
Now, by using Lemma 2 on the right-hand side of Equation (
9), we obtain
as needed. □
Theorem 1 directly implies the following result.
Corollary 1. For and , if G is any n-vertex tree graph different from the path graph , then Proposition 1 and Theorem 1 directly imply the following result.
Corollary 2. For and , if G is any connected n-vertex graph different from the path and complete graphs , then Theorem 2. Let G be a graph. Let such that is not a part of any triangle (if it exists) of G and . Take and . Generate a graph from G by dropping out the edges and by inserting . Then, for and for
Proof. By making use of the definition of
, one obtains
the right-hand side of this equation is negative for
and positive for
, because of Lemma 3. □
Theorem 3. For , if G is any n-vertex tree graph different from the star graph , then Proof. For , the result is trivial. Because the proofs of the desired inequalities for and are very similar to each other, we prove the inequality only for . Thereby, in the rest of the proof, we suppose that . The constraints and guarantee that G has an edge such that . Assume that . Take and . Generate a graph from G by dropping out the edges and by inserting . By using Theorem 2, one obtains . If then we are finished. If , then contains an edge such that , and hence, we apply the above transformation on all the neighbors of , except x, of to obtain another graph satisfying . If , then we are finished. If , then we repeat this process (of applying the above graph transformation) until we obtain . □
Lemma 4 ([
24])
. If G is an n-vertex graph, then at most, two of the following properties can hold:- (i).
The graph G is triangle free.
- (ii).
The minimum degree of G is more than .
- (iii).
The chromatic number of G is at least 3.
The set of all different members of the degree sequence of a graph G is referred to as the degree set of G.
Theorem 4. If G is a triangle-free graph, containing no component isomorphic to , with edges and n vertices, thenIn either case, the equality holds if and only if G is a completely bipartite graph. Proof. Note that the function
defined as follows is strictly decreasing for
and strictly increasing for
:
The definition of
G implies that for every edge
, the inequality
holds, and hence
with equality holds, in either case, if and only if
. Consequently, we have
with equality if and only if the equation
holds for every edge
.
It remains to be shown that G (being a triangle-free graph) is completely bipartite if and only if the equation holds for every edge . If G is completely bipartite, then the desired conclusion follows from the definition of G. Conversely, assume that the equation holds for every edge . Take . Then, , which gives . Thus, the degree set of G has at most two elements. (Under the given constraint, if the degree set of G has two elements then adjacent vertices of G have different degrees.)
Next, we claim that G (being a triangle-free graph) is bipartite. Contrarily, assume that G is not bipartite. The graph G then contains a cycle of odd length (of at least 5), which implies that G is regular; otherwise, adjacent vertices of G have different degrees, which is not possible because of the existence of a cycle of odd length in G. Since for every edge , the graph must be -regular, and n must be even. Since and the chromatic number of G is greater than 2 (because we have contrarily assumed that G having at least one edge is not bipartite), we arrive at a contradiction to Lemma 4. Thus, G must be bipartite.
Let be the bipartition of G. Take with and . Then, must be adjacent to all vertices of , and must be adjacent to all vertices of because for every . Therefore, G is completely bipartite. □
We remark here that the part of Theorem 3 regarding follows from Theorem 4. Next, we give another consequence of Theorem 4.
Corollary 3. If G is a triangle-free graph, containing no component isomorphic to , with n vertices and with at least two edges, thenwhere is the only graph for which the equality sign in this inequality holds. Proof. The well-known Turán Theorem guaranties , where is the only graph for which the equality sign in this inequality holds. Now, the required conclusion follows from Theorem 4. □
Since bipartite graphs are also triangle free, Corollary 4 implies the next result.
Corollary 4. If G is a bipartite graph, containing no component isomorphic to , with n vertices and with at least two edges, thenwhere is the only graph for which the equality sign in this inequality holds. Theorem 5. If G is a graph, containing no component isomorphic to , with edges, thenThe equality holds, in either case, if and only if G is the star graph. Proof. Note that the function
defined as follows is strictly decreasing for
and strictly increasing for
:
Note that the inequality
holds for every edge
, and hence
with equality, in either case, if and only if
. Consequently, we have
with equality, in either case, if and only if
for every edge
; that is, every edge of
G is adjacent with all other edges of
G. □
Theorem 3 confirms that is the only graph with the least value of over the family of all n-vertex tree graphs for . Next, by utilizing Theorem 5, we prove a result similar to this statement for connected graphs when .
Corollary 5. For an n-vertex connected graph , with , the following inequality holds Proof. Assume that
G has
m edges. Since
and
, by using Theorem 5, we have
Consider the function
defined as follows:
where
is a fixed number satisfying
. The derivative function
of
is found as
Since
and
, the inequality
holds whenever
, which holds whenever
which is certainly true because
and
. Thus,
, and hence,
, which together with (
10) yield
□