Abstract
A vertex degree based topological index called the Sombor index was recently defined in 2021 by Gutman and has been very popular amongst chemists and mathematicians. We determine the amount of change of the Sombor index when some elements are removed from a graph. This is done for several graph elements, including a vertex, an edge, a cut vertex, a pendant edge, a pendant path, and a bridge in a simple graph. Also, pendant and non-pendant cases are studied. Using the obtained formulae successively, one can find the Sombor index of a large graph by means of the Sombor indices of smaller graphs that are just graphs obtained after removal of some vertices or edges. Sometimes, using iteration, one can manage to obtain a property of a really large graph in terms of the same property of many other subgraphs. Here, the calculations are made for a pendant and non-pendant vertex, a pendant and non-pendant edge, a pendant path, a bridge, a bridge path from a simple graph, and, finally, for a loop and a multiple edge from a non-simple graph. Using these results, the Sombor index of cyclic graphs and tadpole graphs are obtained. Finally, some Nordhaus–Gaddum type results are obtained for the Sombor index.
MSC:
05C07; 05C10; 05C30; 68R10
1. Introduction
Let be a graph without loops or multiple edges having the vertex and edge sets as and , respectively. We call and to be the order and the size of G. Sometimes, we use in place of G to emphasize the order and size of G. If and are two end vertices of an edge e of G, this is denoted by . Then, the vertices and are adjacent, and e is said to be incident with these vertices. Incidency and adjacency are frequently used in spectral graph theory. The degree of is denoted by or, briefly, . The smallest and largest degrees of all vertices will be denoted by and , respectively. The neighbourhood of a vertex is defined as . Neighbourhood degree sum of a vertex u is defined as . Let be the sum of all vertex degrees in the neighbourhood of v.
Graph theory is becoming increasingly popular due to its possible applications in chemistry, pharmacology, physics, neuroscience, network science, and many other areas. Each day, new areas are added to the list. This popularity is due to the fact that a molecule or a social science application can be modeled by a graph. For molecules, one can obtain such a graph by replacing each atom by a vertex and adding an edge between two atoms if there is a chemical bond between those atoms. Graphs obtained in such a way are called chemical (molecular) graphs. Once modeled, we can study this graph by mathematical methods using the existing combinatorial, number theoretical, topological, linear algebraic, etc., methods. At the end of such mathematical calculations, we obtain a number that is characteristic of the graph under consideration. Such numbers are actually invariants and they remain the same under isomorphism. The main step is to establish some exact result, an upper or lower bound, or at least some regression between the obtained mathematical number and the same physico-chemical property of the molecule. This step brings together chemistry and mathematics. The oldest known example is the Wiener index, introduced in 1947 by chemist Harold Wiener to determine the boiling points of some alkane isomers. Today, there are more than 3000 such mathematical formulae to study properties of molecules. Mathematicians call them graph theoretical indices or topological graph indices, and chemists call them molecular descriptors. Today, a serious part of research related to graph theory is published on such descriptors and indices.
2. Materials and Methods
The Sombor index was recently defined in [1] by Gutman as
Gutman studied some mathematical and chemical properties of this index in [2,3]. In parallel with these studies, many other researchers also considered various mathematical properties of the Sombor index. In [4], extremal values of the Sombor index were obtained for molecular trees. In [5], the block Sombor index of graphs and their matrix representations were studied. In [6], some mathematical properties of the Sombor index were obtained. In [7], Sombor indices were computed for several networks. In [8], some extremal values were obtained mathematically. In [9], the Sombor index was calculated for c-cyclic graphs. In [10], the mean value of the Sombor index was studied using elementary number theoretical results. In [11], the integer values of the Sombor index were studied by means of extensive use of Pythagorean triples. In [12], some more mathematical properties of the Sombor index were studied. In [13], a spectral study of the Sombor index was done; this new index is related to the graph energy. In [14], Sombor indices of some graph products of some algebraic graphs were considered. Chemical applications of the Sombor index were also considered by some authors. In [15], the Sombor index was calculated for polymers. In [16], Sombor indices of the line graphs of some silicates were studied. In [17], some molecular properties of the Sombor index were obtained. In [18], this index was calculated for some nanotubes. In [19], random hexagonal chains, phenylene chains, and Sombor indices of some chemical graphs were studied. In [20], Sombor indices of chemical graphs were calculated, and their applications to the boiling points of benzenoid hydrocarbons were studied in [21]. Also in [22], the Sombor index was used to predict physicochemical properties of butane derivatives. After defining the Sombor index, its modified version was put forward in [23] and studied in [24,25,26,27].
For an r-regular graph G, the Sombor index is equal to . Also, as the sum of the degrees of vertices is twice the number of edges, we can restate this as .
In this paper, we use the ingenious methods that are used in mathematics to calculate large mathematical objects by means of smaller objects that are easier to calculate. These methods are vertex and edge removal. Here, we shall determine how much gthe Sombor index changes when an edge or a vertex is deleted.
3. Results
3.1. Effect of Vertex Removal on the Sombor Index
We now determine how much changes when a vertex is deleted from G. According to the enumarations we do with different graphs, there are two different cases where the vertex to be deleted is pendant or not. We shall see those two cases seperately below.
Theorem 1.
Let be a vertex of degree . Then
Proof.
From the definition of the Sombor index, we can partition the edges of G into four families: (i) such that , (ii) such that , , (iii) so that , and (iv) such that . By means of this edge partition, we can alternatively rephrase as
If we remove a non-pendant vertex v from the graph G, then the edge partition of would be (i) such that , (ii) such that , , and (iii) such that . That is, only the edges of type (iv) will disappear. Hence, the Sombor index of the remaining graph is
The desired result follows. □
Using this theorem, we can directly deduce an upper bound for the change in the Sombor index when a non-pendant vertex is deleted from a graph:
Corollary 1.
Let be of degree . Let be as above. Let . If there are t pairs of vertices in the neighbourhood of v forming an edge of G, then
Proof.
From Theorem 1
Since , we have
□
Corollary 2.
Let G be a tree and let be of degree . Let be as above. If there are t pairs of vertices in the neighbourhood of v forming an edge of G, then
The proof depends on the fact that in a tree, and, hence, . Note that Corollary 2 is also valid when the graph has at least one pendant vertex but is not a tree.
Now, we give results for deleting a pendant vertex from a graph:
Theorem 2.
If is a pendant vertex, then
That is, the formula in Theorem 1 simplifies.
Corollary 3.
If is a pendant vertex and u is its support vertex, then
where A is given in Corollary 1.
Proof.
Using Theorem 2 and the formula , we have
Hence, the result follows. □
3.2. Effect of Edge Removal on the Sombor Index
In this section, we will determine the change in the Sombor index when we remove an edge from graph G. First, we check the effect of deleting a pendant edge.
Theorem 3.
If is a pendant edge with pendant vertex v, then
Proof.
Using the definition of , we reorganize it as
If we remove a pendant edge with pendant vertex v, then we get
Hence, the result follows. □
Theorem 3 implies that it is possible to obtain the maximum value of the decrease in the Sombor index when a pendant edge is deleted from the graph:
Corollary 4.
For a graph G and a pendant edge with pendant vertex v, we have
Proof.
By Theorem 3, we have
Since there are edges in the neighbourhood of the vertex u, the result follows. □
The next result gives a similar formula for the amount of change in the Sombor index of a graph when a non-pendant edge is deleted:
Theorem 4.
Let be a non-pendant edge. Then
Proof.
By the definition of the Sombor index, we can group the edges in G as follows:
If we remove a non-pendant edge e from the graph G, the Sombor index of graph becomes
Hence, the result is obtained. □
The following result giving the maximum amount of change in the Sombor index of a graph in terms of the size of the graph when a non-pendant edge is deleted from the graph can be deduced from the above results:
Corollary 5.
Let e be a non-pendant edge in G. Then
Proof.
We have
giving the required result. □
3.3. Effect of Bridge Removal on the Sombor Index
In many calculations with graphs, cut vertices and bridges help us to do the calculations much more easily, as they partition the graph into blocks that are much smaller than the given graph. In the following result, we use this method to calculate the Sombor index of some large graphs in terms of Sombor indices of the blocks of the given graphs.
Theorem 5.
Let G be a graph and let be a bridge in G. Let and . Then
Proof.
Let the two blocks of G connected with the bridge e be and . Let the neighbours of u apart from v be , and let the neighbours of v apart from u be . Let and . We can organize as follows:
Similarly,
Hence, the required result is obtained easily after some calculations. □
Theorem 5 can be generalized to some number of bridges seperating some number of blocks.
The difference in Theorem 5 can also be stated in terms of the Sombor indices of the two blocks and as follows. The proof is omitted as it is similar to the previous ones:
Corollary 6.
Let G be a graph and let be a bridge in G, as in Theorem 5. Let and . Then
3.4. Effect of Path-Bridge Removal on the Sombor Index
In the following result, we delete a path bridge between two blocks of a graph instead of deleting a bridge:
Theorem 6.
Let G be a graph and let be a path bridge of length r. That is, between u and v, there are r vertices all having degree 2 in G. Let , , and . Then, the change in the Sombor index of G when the set C is deleted from G is
Proof.
The edges in G can be partitioned as A and B as in the proof of Theorem 5: , , . Then, the partitioning of would be A and B, , . Considering the fact that the degrees of the end vertices u and v will decrease by one in , the proof follows. □
Our next result is about deleting a pendant path from a graph. Let be a pendant path in a graph G such that , . Let us denote the set by T. Then, we have the following result:
Theorem 7.
Let G be a graph and let be a pendant path of length r as above. Then, the change in the Sombor index of G when the set T is deleted from G is
Proof.
The edges in G can be partitioned as , and . Similarly, the edges in can be partitioned as and A. Considering the vertex degrees in G and , the result follows. □
As an application of this result, we calculate the Sombor index of a tadpole graph:
Example 1.
Let in Theorem 7. Let T be the pendant path of G so that . Here . Hence, by Theorem 7, we get
3.5. Nordhaus–Gaddum Type Result for the Sombor Index
Let G be a graph and let be its complement. For a vertex v in , . Also, for any tree T and for a vertex v in , . It is an obvious fact that if G is r-regular, then is -regular. Also for an r-regular graph G, we have . If the end vertices of an edge e are x and y, then this edge is said to be of type . Hence, an r-regular graph has edges of type . Therefore, we have the following result:
Theorem 8.
If G is an r-regular graph, then its Sombor index is
Theorem 8 is enough to show the following Nordhaus–Gaddum type result on the Sombor index:
Theorem 9.
If G is an r-regular graph, then the following relation is satisfied:
Proof.
Note that the size of the complement graph is
and, hence, we obtain the required relation using the regularity of the complement graph :
This proves our required relation. □
The following example gives a nice application of Theorem 9 to calculate the Sombor index of the complement of a cycle graph.
Example 2.
By Theorem 9, we can write
As has n edges of type , . Therefore, by subtracting this from Equation (2), we can deduce the Sombor index of the complement of the cycle graph. As has edges of type , , which gives us the same result.
4. Non-Simple Graphs
In this paper, up to now, we have been concerned with simple graphs, which are without loops or multiple edges. As the existence of these rather crude types of vertices causes problems with the combinatorial calculations, most papers restrict themselves to simple graphs. In this section, we shall consider non-simple graphs and deal with the effect of removing a loop or multiple edge from a non-simple graph on the Sombor index. First, we study the effect of deleting a loop:
Theorem 10.
Let G be a non-simple graph having at least one loop and let e be a loop starting and ending at a vertex u of G. Let . Then
Proof.
As and the edge e contributes 2 to this degree as a loop, there are neighbours of u in G. Let these neighbours be . The edge partition of G is as follows: (i) the edges joining the vertex u to its neighbours, (ii) the edges such that , which has both end vertices different than u, and (iii) . In the graph , we have the following edge types: (i) The edges , (ii) such that . Now, concerning the vertex degrees in G and , we know that , , and all the remaining vertices have the same degree in both graphs, as the removal of e does not effect their end vertices. Therefore, we have
and
implying the required result. □
Second, we study the effect of deleting one of the multiple edges between two vertices of a graph.
Theorem 11.
Let G be a non-simple graph having l multiple edges between two vertices u and v of G and let these multiple edges be labeled by . Let and .
Proof.
Let G be as stated. Then, there are incident edges to u in addition to the l multiple edges , and there are incident edges to v in addition to the l multiple edges . The edge partition of G is as follows: (i) the multiple edges joining the vertex u to v for , (ii) the edges for such that , which are different than the multiple edges between u and v, (iii) the edges for such that , which are different than the multiple edges between u and v, and (iv) the remaining edges such that are adjacent to neither u nor v. Similarly, the edge partition of is as follows: (i) the multiple edges joining the vertex u to v for , that is, all the multiple edges except , which is removed, (ii) the edges for such that , which are different than the multiple edges between u and v, (iii) the edges for such that , which are different than the multiple edges between u and v, and (iv) the remaining edges such that are adjacent to neither u nor v.
Now, concerning the vertex degrees in G and , we know that , , , , and all the remaining vertices have the same degree in both graphs, as the removal of does not effect their end vertices. Therefore, we have
as the first sum in the first line has l summands, and
as the first sum in the first line has summands, implying the required result. □
5. Conclusions
The effects of vertex and edge removal from a graph are useful in calculating some property of large graphs in terms of the same property of a smaller graph. Sometimes, using iteration, one can manage to obtain a property of a really large graph in terms of the same property of many other smaller graphs. Here, the calculations are made for a pendant and non-pendant vertex, a pendant and non-pendant edge, a pendant path, a bridge, and a bridge path in a simple graph. Using these results, Sombor indices of cyclic graphs and tadpole graphs are obtained as an application. Finally, some Nordhaus–Gaddum type results are given for the Sombor index.
Author Contributions
Conceptualization, I.N.C.; validation, I.N.C.; investigation, A.Y.G., H.O.A.; resources, H.O.A.; writing—original draft preparation, A.Y.G.; writing—review and editing, H.O.A.; supervision, I.N.C. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The authors acknowledge that there are no potential conflicts of interest. No part of this article has been published or simultaneously submitted to any other journals.
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