Abstract
Using the symmetry property of the inverse degree index, in this paper, we obtain several mathematical relations of the inverse degree polynomial, and we show that some properties of graphs, such as the cardinality of the set of vertices and edges, or the cyclomatic number, can be deduced from their inverse degree polynomials.
1. Introduction
The interest in topological indices lies in the fact that they synthesize some of the fundamental properties of a molecule into a single value, and therefore, find many applications in chemistry. With this in mind, several topological indices have been studied so far; we note the seminal work by Wiener [] in which he used the distances of a chemical graph in order to model the properties of alkanes. In particular, the inverse degree index of a graph G is defined by
where denotes the degree of the vertex u in G.
The first time that the inverse degree of a graph attracted attention was due to numerous conjectures that were generated by the computer program Graffiti []. Since then, in many works by several authors (e.g., [,,,,]), the relationship between other graph invariants, such as diameter, edge-connectivity, matching number and Wiener index, have been studied.
The study of polynomials in graphs is a very useful subject from a theoretical and practical point of view and is of growing interest. In particular, in [], there is an extensive development of the domination polynomial, while in [], we find a study of the roots of independent polynomials. In both cases, the fundamental idea was to have a characterization of the graphs from the polynomials.
In the work by Baig et al. [], the authors studies Omega, Sadhana, and PI counting polynomials and computed topological indices associated with them. These polynomials are used to predict several physico-chemical properties of certain chemical compounds. The same three polynomials were computed in a more recent work by Imran et al. []. Here the authors computed polynomials for mesh-derived networks.
We want to recall that polynomials in graphs have been widely used to study the structural properties of certain graph families. Several graph parameters have been used to define a graph polynomial, for instance, differential number, the parameters associated to matching, independent and domination sets, chromatic numbers and many others (see, e.g., [] and the references therein). In recent years there have been many works on graph polynomials associated with different topological indices (see, e.g., [,,,,]).
In [], Shuxian defined the Zagreb polynomial of a graph G as
In [] the harmonic polynomial of a graph G is defined as
The harmonic polynomials of the line graphs were studied in []. The inverse degree polynomial is studied to understand better the inverse degree topological index. In [], this polynomial was used in order to obtain bounds of the harmonic index of the main products of graphs; in order to do that, a main tool was the inverse degree polynomial (or ID polynomial) of a graph G, defined as
Thus, we have . So, one can expect to obtain information on the inverse degree index from the properties of the inverse degree polynomial. Note that,
2. Some Preliminaries
The next interesting result appears in [].
Proposition 1.
If G is a graph with n vertices, and k of them are pendant vertices, then:
- for every and ,
- on ,
- is strictly increasing on if and only if G is not isomorphic to an union of path graphs ,
- is strictly convex on if and only if G is not isomorphic to an union of path graphs and/or cycle graphs, and
- for every .
The following results are direct.
Proposition 2.
If G is a k-regular graph with n vertices, then
The following result computes the ID polynomial of: (the complete graph with n vertices), (the cycle with vertices), (the n-dimensional hypercube), (the complete bipartite graph with vertices), (the star graph with n vertices), (the path graph with n vertices), (the wheel graph with vertices), and (the double star graph with vertices).
Proposition 3.
We have
The forgotten topological index (or F-index) is defined as
3. Main Results
The next result allow us to obtain information about the graph using the ID polynomial.
Proposition 4.
If G is a graph with n vertices and m edges, then we have
- ,
- ,
- , and
- .
Proof.
The equality is a consequence of Proposition 1. By the handshaking Lemma, we have
and
□
Corollary 1.
If G is a graph with n vertices and m edges, then we have
- ,
- ,
- , and
- .
Proposition 2 shows that any two k-regular graphs with the same cardinality of vertices, have the same ID polynomial. The following question is very natural: How many graphs can be characterized by their ID polynomials? Although this is a very difficult question, Corollary 1 provides a partial answer: Graphs with different cardinality of vertices or edges have different ID polynomials. This property allows to conclude the following.
Corollary 2.
If Γ is a proper subgraph of the graph G, then .
Also, we can obtain information about the cycles in the graph by using the ID polynomial. The cyclomatic number of a connected graph with n vertices and m edges is defined as .
Proposition 5.
If G is a connected graph, then its cyclomatic number is
In particular, if , then G is a tree.
Proof.
Corollary 1 gives and . Hence,
If , then and G is a tree. □
Furthermore, Proposition 6 and Theorem 7 show that two graphs with the same ID polynomial have to be similar, in some sense.
If k is any positive integer, we consider
Vieta’s formulas give
Note that and .
The following result generalizes Proposition 4.
Proposition 6.
If G is a graph and k is a positive integer, then
Proof.
We have
□
The next result gives bounds of the ID index in terms of the values of the ID polynomial at the points 0, and 1.
Proposition 7.
For any graph G, we have the inequalities
and the equality in each inequality is attained if and only if G is isomorphic to an union of path graphs.
Proof.
Hermite–Hadamard’s inequality gives
for every convex function g on , and both inequalities are strict when g is strictly convex.
If G is not isomorphic to an union of path graphs and/or cycle graphs, then Proposition 1 gives that is a strictly convex function. So, applying Hermite-Hadamard’s inequality to the function , we obtain
If G is isomorphic to an union of path graphs and/or cycle graphs, then the ID polynomial of G has degree at most 1, and so, both inequalities are attained. □
Given a graph G and a vertex , we denote by the set of neighbors of v. We say that v is dominant if .
Given a polynomial , let us denote by the degree of , and by the minimum degree of the monomials with non-zero coefficients of .
Proposition 8.
Let G be a graph with n vertices, maximum degree Δ and minimum degree δ. Then:
- .
- .
- is a zero of if and only if .
- If , then is a zero of with multiplicity .
- , and the equality is attained if and only if there exists at least a dominant vertex in G.
- If Γ is a subgraph of G, then and .
Proof.
The two first items are a direct consequence of the definition of .
The third and fourth items follow from the second one.
We have , and the equality holds if and only if , i.e., there exists at least a dominant vertex in G.
The last statement follows from the two first items. □
Theorem 1.
Let G be a graph with minimum degree δ. The point is the unique zero of the ID polynomial of G if and only if and G is regular.
Proof.
If and G is regular, then Proposition 2 gives that is the unique zero of .
Assume now that is the unique zero of the ID polynomial of the graph G. Thus, for some positive integers and for every , and so, G is regular. Also, Proposition 8 gives . □
The next result allows to obtain information about the connectedness and diameter of a graph G in terms of the degree of its ID polynomial.
Theorem 2.
Let G be a graph with n vertices. If , then and G is a connected graph.
Proof.
Since , Proposition 8 gives that there exists at least a dominant vertex v in G. Hence, for every . If , then . Hence, and, consequently, G is a connected graph. □
The following classical result gives an asymptotically sharp upper bound for the diameter of a connected graph (see [] [Theorem 1]). Recall that, if t is any real number, then denotes the lower integer part of t, i.e., the largest integer less than or equal to t.
Theorem 3
(Erdös, Pach, Pollack, and Tuza). Let G be a connected graph with n vertices and minimum degree . Then
The two next results in [] provide better estimations for the diameter of a connected graph.
Theorem 4.
If G is a connected graph with n vertices and minimum degree δ, then if , and
for every .
Theorem 5.
Let n be the number of vertices of the connected graph G and with a minimum degree equal to δ.
- i.
- If , then .
- ii.
- If , then .
- iii.
- If , then .
These two results in [] have the following consequences for general graphs.
Proposition 9.
If G is a graph with n vertices, minimum degree δ and at least connected components, and Γ is a connected component of G, then:
- i.
- If we have .
- ii.
- If , then
Proof.
Each connected component of G has at least vertices. Since G is a graph with at least connected components, G has at least vertices, i.e., . Also, any connected component of G has at most vertices.
If , then
If , then Theorem 4 gives
□
The arguments in the proof of Proposition 9 have the following consequence.
Corollary 3.
Let G be a graph with n vertices and minimum degree δ. Then G has at most connected components. In particular, if , then G is connected.
Proposition 10.
Let G be a graph with n vertices, minimum degree δ and at least connected components, and let Γ be a connected component of G.
- If , then
- If , then
- If , then .
- If , then .
- If , then .
- If , then .
- If , then .
Proof.
The arguments in the proof of Proposition 9 give that Γ has at most vertices.
Assume first that , with . Thus,
and Theorem 5 gives , for each .
Assume now that , with . Thus,
and Theorem 5 gives , for . □
The results that we are going to show in the following three propositions provide information about a graph based on its polynomial ID.
Proposition 11.
If G is a graph with at least connected components, and Γ is a connected component of G.
- i.
- If then ,
- ii.
- If , then
Proof.
Using the results summarized in Proposition 1, we have that the number of vertices that have degree 1 is equal to , while is equal to the number of total vertices of the graph. On the other hand, it is obtained directly that if is different from zero then the minimum degree of the graph G is exactly 1, while if then the . Finally, from Proposition 8 we have and , and directly applying the results of Proposition 9 we obtain the proposed result. □
Continuing with the same arguments used previously, from Proposition 1 we have that , while from Proposition 8 we have that , then as direct consequence of Corollary 3 we obtain the following result.
Proposition 12.
Let G be a graph. Then G has at most
connected components. In particular, if , then G is connected.
In the same way, the next proposition is a direct consequence of the results given in Propositions 1, 8, and 10.
Proposition 13.
Let G be a graph with at least connected components, and let Γ be a connected component of G.
- i.
- If , then .
- ii.
- If , then .
- iii.
- If , then .
If is a polynomial, then we denote by the number of non-zero coefficients of . In particular, if , then is the cardinality of the set .
Let us define inductively the graph for . Let and be the path graphs and , respectively. If , then we define from in the following way: Choose two points and define by
Theorem 6.
If G is a graph with n vertices, minimum degree δ and at least r connected components, then the following statements hold:
- ,
- if and only if G is regular,
- if and only if G is isomorphic to .
Proof.
If G is a connected graph, then the inequalities for every give . Assume now that G is not connected and let Γ be a connected component of G. The argument in the proof of Proposition 9 gives that Γ has at most vertices. Thus, for every , and so, for every , and we conclude .
The second item is direct, since if and only if every vertex has the same degree.
Next, let us show by induction on n that the degree sequence of is equal to for each (if for some , then the value appears just once in the degree sequence). This is direct if and . Assume that the statement holds for some with , and let us prove it for . If , then the definition of gives . The induction hypothesis gives , and so, . Since and , the degree sequence of is . Hence, for every . Note that is connected, since it contains a vertex with degree and .
Assume now that G is a graph with . If and , it is clear that G is isomorphic to . Assume that . Since and , we have . Choose vertices with and , and denote by the graph with vertices obtained from G by deleting the vertices and the edges incident to them. Note that is incident just to . Since there exists with (recall that ), we have , and so, for every . Thus, for every , and is connected. Also, for every . Hence, the degree sequence of is . If , then is isomorphic to and G is isomorphic to . Otherwise we obtain, by iterating this process, a finite sequence of graphs with ; thus, is isomorphic to and G is isomorphic to . □
Theorem 6 has the following consequence.
Corollary 4.
If G is a graph with n vertices, then .
The argument in the proof of Theorem 6 also gives the following result.
Proposition 14.
If G is a graph with n vertices, maximum degree Δ and minimum degree δ, then .
Next, we present a result that allows to bound the inverse degree index of a graph by using information about its ID polynomial.
Given a graph G, let us denote by and the cardinality of the sets and , respectively.
Proposition 15.
If G is a graph with n vertices, maximum degree Δ and minimum degree δ, then
and the equality in each inequality is attained if and only if we have either that G is regular or .
Proof.
Let us denote by the cardinality of the set . Thus,
Hence,
If G is regular, then the lower and upper bounds are both equal to , and the equalities hold. If , then the lower and upper bounds are both equal to , and the equalities hold.
Assume now that the equality is attained in the lower bound and G is not a regular graph. Thus, and
and so, for every . Hence, .
If the equality is attained in the upper bound and G is not a regular graph, a similar argument also gives . □
Although two non-isomorphic graphs can have the same ID polynomial, we show now that two graphs with the same ID polynomial must be “similar".
For each function , let us define the following topological indices
Note that if , then . The Narumi–Katayama index is defined in [] as
If , then .
Theorem 7.
Let G and Γ be two graphs with . Then and for every . In particular, for every , and .
Proof.
As in the proof of Proposition 15, for any graph with maximum degree and minimum degree , and , let us define as the cardinality of . We have seen that
Thus, if , we conclude that for every . Note that we have, for any graph and any function ,
Hence, we conclude that and . □
We also have a relation between the harmonic and the inverse degree polynomials.
Given a graph G, the line graph of G is denoted by . It is not difficult to verify that if , then the degree of is .
Line graphs were initially introduced by Whitney in [] and a few year later by Krausz in his work [], however the first time that the exact terminology of line graph was used, it was in the joint work by Harary and Norman in []. Nowadays this is an active topic, where we can find very recent works that study some topological indices on line graphs (see, e.g., [,]).
Proposition 16.
Let G be a graph. Then,
Proof.
We have
If G is a regular graph is regular, then the both bounds are the same, and they are equal to . If we have the equality, then for every ; thus, G is a regular graph. □
4. Conclusions
In this work we obtain several mathematical relations of the inverse degree polynomial from the symmetry property of the inverse degree index. We show that some properties of graphs, such as the cardinality of the set of vertices and edges, or the cyclomatic number, can be deduced from their inverse degree polynomials. We also obtain bounds of the ID index in terms of the values of the ID polynomial and we have a relation between the harmonic and the inverse degree polynomials.
Author Contributions
The authors contributed equally to this work.
Funding
Supported in part by two grants from Ministerio de Economía y Competititvidad, Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER) (MTM2016-78227-C2-1-P and MTM2015-69323-REDT), Spain. This research was also partially supported by Science, Technology, Knowledge and Innovation Ministry of Chile (CONICYT, FONDECYT Projects 1160894).
Acknowledgments
The authors thanks the anonymous reviewers for their constructive and detailed feedback.
Conflicts of Interest
The authors declare no conflict of interest.
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