1. Introduction
In this paper, a graph means a simple undirected graph. Let
be a graph with
vertices and
edges. The degree of
in
, denoted by
, is equal to the number of vertices adjacent to
in
. The distance between two vertices
and
of
, denoted by
, is the length of a shortest path joining
and
in
. For notations and terminologies undefined here, the readers may refer to [1].
In theoretical chemistry, to correlate molecular structures with the physicochemical and bilogical properties of molecules, many topological indices have been introduced and investigated over the years. One of the most studied problems in chemical graph theory is to characterize extremal graphs with respect to certain topological indices among the set of all trees, unicyclic graphs, bicyclic graphs, tricyclic graphs, etc. The Wiener index, as the oldest and one of the most popular molecular structure descriptors [2] [3], is well correlated with many physical and chemical properties of a variety of classes of chemical compounds. This topological index was introduced in 1947 [4] and is defined as the sum of distances between all pairs of vertices, namely that
For details on its mathematical properties, see the survey [5].
A modified version of the Wiener index, introduced by Dobrynin, Kochetova and Gutman [6], is the degree distance defined as
In 2006, Yuan and An [7] presented the maximum value of degree distance for unicyclic graphs. Later, Tomescu [8] determined the unicyclic and bicyclic graphs with minimum degree distance. Some further mathematical results on degree distance can be found in [9] [10]-[13].
Based on the theory of electrical networks, Klein and Randić [14] 1993 introduced a new distance function named resistance distance. They viewed a graph
as an electric network
such that each edge of
is assumed as a unit resistor. The resistance distance between two vertices
and
of
, denoted by
, is defined as the effective resistance between the nodes
and
in
. This new kind of distance between vertices of a graph was eventually studied in detail [15]-[20]. By replacing the ordinary distance with resistance distance in the expression for the Wiener index, we can arrive at the Kirchhoff index
which has been widely studied [19] [21]-[25].
In analogy with the degree distance of a graph, the degree resistance distance of a graph
was first proposed by Gutman, Feng and Yu [26] as
Palacios [27] named the same graph invariant “additive degree-Kirchhoff index”. In [26], some properties of
-index are given, and the unicyclic graphs with minimum and second minimum
-value are determined. Later, the unicyclic graphs with the maximum and the second-maximum
-value are characterized in [28] [29]. Qi et al. [30] considered the maximum
-value of
-vertex unicyclic graphs with a given maximum degree. The first three minimum
-values among all cacti with
vertices and
cycles are completely determined in [31] [32].
To the best of our knowledge, the third-maximum value of degree resistance distance for unicyclic graphs has not been considered so far. We will solve it in this paper. Recall that a unicyclic graph is a connected graph with the same number of vertices and edges. Denote by
the set of all unicyclic graphs of order
. Let
and
be the path, the cycle and the star on
vertices, respectively.
This paper is organized as follows. In Section 2, we introduce some transformations to compare the degree resistance distance of two graphs. In Section 3, we determine the unique graph with the third-maximum degree resistance distance among unicyclic graphs in
.
2. Lemmas
Let
denote the resistance distance between
and
in the graph
. It is known that
and
with equality if and only if
. For a vertex
in
, we define
and
.
For the sake of brevity, in the whole of our context, for any two vertices
of
(or
), we let
(or
) and
(or
). In the following, we give some necessary lemmas that will be used to prove our main results.
Lemma 1 ([14]) Let
be a graph,
be a cut vertex of
and let
be vertices belonging to different components which arise upon deletion of
. Then
.
Gutman et al. [26] presented the following exact formulas for cycles.
Lemma 2 ([26]) Let
be a cycle with length
and
. Then
,
and
.
Definition 3 ([26]). Let
be a vertex of degree
in a graph
, such that
are pendant edges incident with
, and
is the neighbor of
distinct from
. We form a graph
by deleting the edges
and adding new edges
. We say that
is a
-transform of the graph
(see Figure 1).
Lemma 4 ([26]) Let
be a
-transform of the graph
,
. Then
. Equality holds if and only if
is a star with
as its center.
Lemma 5 ([28]) Let
be a connected graph with
edges, and
be two distinct vertices with the degree at least 3 in
such that
. Let
and
be two paths of order
and
, respectively. Let
be the graph obtained from
,
and
by adding edges
,
. Suppose that
and
. Then either
or
.
Remark 6. From the proof of Lemma 5, we know that the conditions
are not necessary. As long as
is not a path, or
is a path with
, the result in Lemma 5 always holds.
Figure 1. The
-transform of the graph
.
Figure 2. Graphs
and
in Lemma 7.
We show in the following lemma that the result in Lemma 5 still holds if
and
are the same.
Lemma 7. Let
be a connected graph with a cut vertex
and
. Let the paths
and
be two connected components of
. Let
(see Figure 2), where
if
. Then
.
Proof. Let
. Then
. Let
,
,
,
. For the transformation from
to
, one has
for any
,
,
and
for any
. By the definition of the degree resistance distance, we get
and
If
, then
and
If
, then
and
Since
, we have
.
Let
be the set of all unicyclic graphs with order
and girth
, and
denote the graph obtained by identifying one end-vertex of
with any vertex of
. Let
be the graph constructed from
by adding one pendant edge to the vertex
and
be the unicyclic graph obtained from a cycle
by identifying
of
with a vertex of
. Figure 3 illustrates the graphs
and
.
Chen et al. [28] characterized the unicyclic graphs with the maximum and the second-maximum
-value. They also obtained the unique graph with maximum
-value among
.
Theorem 8 ([28]) Let
, then
, the equality holds if and only if
.
Theorem 9 ([28] [29]) Let
be an arbitrary unicyclic graph, then
, with the equality holds if and only if
.
Theorem 10 (28) Let
be an arbitrary unicyclic graph,
. Then
, with the equality holds if and only if
.
Remark 11. From the proof of Theorem 8, we have
.
3. The Third-Maximum Degree Resistance Distance of Unicyclic Graphs
In this section, we will determine the unique graph with the third-maximum degree resistance distance among
. Let
,
and
be depicted in Figure 4.
Figure 3. Graphs
and
.
Figure 4. Graphs
,
and
.
Lemma 12. Suppose
is a graph in
having the third-maximum degree resistance distance, where
. Then
, or
, or
for some
.
Proof. Let
be the girth of
. By Theorem 8 and Remark 11,
if
. Suppose
and
be the cycle of
. We show that
, or
, where
.
Let
,
and
be the components of
containing
,
and
, respectively. If
, by Lemma 7,
(
,
, resp.) is a path such that
(
,
, resp.) is a leaf in
(
,
, resp.). By Lemma 5 and Remark 6, there is a graph
with
, a contradiction. Thus,
. Without loss of generality, we suppose
, i.e.,
.
By repeating the use of Lemmas 7, 5 and Remark 6, we have
for some
if
, and
if
.
Now we give our main result as follows.
Theorem 13. For graphs in
,
is the unique graph with maximum
-value, where
is depicted in Figure 4 and
.
Proof. By Lemma 12, in order to prove this theorem, it suffices to show that
and
for each
. Let
be depicted in Figure 3.
(1) By Theorems 10 and 8,
(2) Let
,
. For the transformation from
to
, one has
for any
,
,
and
for any
. By the definition of the degree resistance distance, we get
and
Thus,
.
(3) Let
,
. For the transformation from
to
, one has
for any
,
,
and
for any
. If
, then
and
Similarly, if
, then
,
,
,
and
.
Let
,
. Then
Since
if
, we get
and
for each
. Moreover, by (2) and Theorem 10,
.
4. Conclusion
In this paper, we completely characterized the unicyclic graphs with the third-maximum degree resistance distance. Some transformations for comparing the degree resistance distance of two graphs were introduced. This may help determine the maximum or minimum degree resistance distance for other classes of graphs. We will investigate these problems in our future studies.
Funding Statement
This research is supported by the National Natural Science Foundation of China (Nos. 11801568, 42272156).