Abstract
The Graovac–Pisanski (GP) index of a graph is a modified version of the Wiener index based on the distance between each vertex x and its image , where is an automorphism of graph. The aim of this paper is to compute the automorphism group of some classes of cubic polyhedral graphs and then we determine their Wiener index. In addition, we investigate the GP-index of these classes of graphs.
1. Introduction
In the current work, all graphs are finite, undirected and connected. Two symbols and show the vertex and edge sets of G, respectively. If x and y are two given vertices of a graph G, then the distance between them, denoted by , is the length of each shortest path connecting them.
Let be an edge of a graph G. A permutation on the vertex set is an automorphism of G, if if and only if , where is the image of vertex u. Hence, an automorphism group is a set of all automorphisms of G and we denote it by .
For any vertex an orbit of G containing u is defined as . We say G is vertex-transitive if it has only one orbit. Equivalently, a graph is vertex-transitive if for two vertices there is an automorphism such that
The Wiener number of a graph is a distance-based graph invariant defined as the sum of distances between all pairs of vertices in G. In other words,
The Wiener index is a remarkable predictor (among all graph descriptors) for predicting the boiling point of some molecules such as alkanes and paraffin, see [1]. This quantity is considered by the scientists at the beginning of the development of QSPR/QSAR approaches to chemistry-related problems. It is defined as the half sum of the distances between all pairs of vertices in a graph. Motivated by this single detail, several mathematically oriented investigations of Wiener index were undertaken in [2,3,4] as well as [5,6,7].
Suppose G is a graph with automorphism group . Then the Graovac–Pisanski index is defined as [8]
Črepnjak et al. showed that the GP-index of some hydrocarbon molecules is correlated with their melting points [9]. We refer to [10] for mathematical properties and chemical meaning of this graph invariant.
Ashrafi et al. [11] computed the GP-index of some graph products and in [12], some upper and lower bounds for this graph invariant are presented. In 2016, Ghorbani and Klavžar [13] computed this graph invariant by a cut method and Tratnik [14], by generalizing their method, achieved closed formulas for the GP-index of zig-zag tubulenes.
Recently, some papers are devoted to finding the extremal graphs with respect to GP number, see [15,16]. In [17] it is proved that if T is a tree, then and in [18] the authors showed if G is either a connected bipartite graph or a connected graph of even order, then is an integer. This difference between the Wiener index and GP-index was first considered in [19], and in [20] this quantity was computed for some families of polyhedral graphs. Knor et al. [21] considered the class of trees and they proved that this value is non-negative.
For more details about the GP number of nanostructures, linear polymers, some classes of fullerenes and fullerene-like molecules, see [8,10,11,12,13,14,19,20,22,23,24,25,26,27,28,29,30,31]. However, the following result is crucial in the whole of this paper.
Theorem 1.
[32] (The orbit-stabilizer property) Let G acts on the set X and . If G is finite, then , where .
2. Main Results
A polyhedral graph is a three connected planar graph and a fullerene is a cubic polyhedral graph, see [33,34,35].
The Wiener and GP-indices of several infinite classes of fullerene and polyhedral graphs have been computed in [19,20,23] as well as [24,25,26]. The aim of this paper is to explore these quantities for some new classes of graphs. In [36] a method is described to obtain a fullerene graph from a zig-zag or armchair nanotubes.
Consider an infinite class of fullerene graph with pentagons and hexagons as depicted in Figure 1. This class of fullerene graphs has exactly vertices, where .
Figure 1.
Fullerene , where (left) and (right).
We show a nanotube made up of m rows and n columns of hexagons by , see Figure 2. As it is shown in Figure 3, combining a nanotube from both sides by two caps B and C (Figure 4) results in a fullerene graph on vertices, . In this way, we can construct many classes of polyhedral graphs such as fullerenes. In continuing this section, we introduce some infinite families of cubic polyhedral graphs.
Figure 2.
Two-dimensional graph of zig-zag nanotube , for , .
Figure 3.
Fullerene created by combining a copy of cap B, a copy of a copy of cap C and a copy of zig-zag nanotube .
Figure 4.
Two caps B (left) and C (right).
2.1. (4,5,6)-Cubic Polyhedral Graphs
At first, we demonstrate an infinite class of cubic polyhedral graphs composed of quadrangular, pentagonal and hexagonal faces, see Figure 5. It has exactly vertices where and hence we denote it by . That is a -cubic polyhedral graph.
Figure 5.
The polyhedral graph , where (left) and (right).
To construct this class of graphs, combine a nanotube (Figure 2) with a copy of a copy of cap B, a copy of cap C (Figure 6) as shown in Figure 7 to form a polyhedral graph with vertices, where .
Figure 6.
Two caps B (left) and C (right).
Figure 7.
Polyhedral graph constructed by combining a copy of cap B, a copy of a copy of cap C and a copy of zig-zag nanotube .
2.2. (4,6,7,8)-Cubic Polyhedral Graphs
A cubic polyhedral graph containing squares, hexagons, heptagons and octagons is denoted by a -polyhedral graph, see Figure 8. If we combine a nanotube (Figure 9) with a copy of cap B and a copy of cap C (Figure 10) as shown in Figure 11, the resulted graph is denoted by , which has vertices.
Figure 8.
Two-dimensional graph of for (left) and (right).
Figure 9.
Two-dimensional graph of nanotube , for , .
Figure 10.
Two caps B (left) and C (right).
Figure 11.
Polyhedral graph made up by combining a copy of cap B, a copy of cap C and a copy of
2.3. (4,6,8)-Cubic Polyhedral Graph
In continuing, we introduce two classes of cubic polyhedral graphs containing the quadrilateral, the hexagonal and the octagonal faces. At first, consider the polyhedral graph in Figure 12. This graph has which can be constructed in a similar way to the last ones, see Figure 13 and Figure 14.
Figure 12.
The polyhedral graph , where (left) and (right).
Figure 13.
Two caps B (left) and C (right).
Figure 14.
Polyhedral graph created by combining a copy of cap B, a copy of a copy of cap C and a copy of zig-zag nanotube .
Another class of polyhedral graphs, denoted by , is depicted in Figure 15 which has vertices . In Figure 16 and Figure 17, the construction of is depicted.
Figure 15.
The polyhedral graph for .
Figure 16.
Two caps B (left) and C (right).
Figure 17.
Polyhedral graph made up by combining a copy of cap B, a copy of cap C and a copy of
3. Symmetry Group of Polyhedral Graphs
The aim of this section is to compute the automorphism group of polyhedral graphs introduced in this paper. We explain our methods only for small ones and in a similar way, we can determine the automorphism group of each member of related class. For more details on the automorphism group of polyhedral graphs, see [37,38,39].
In continuing this section, two symbols and are defined to show a cyclic group with two elements and a dihedral group with eight elements, respectively. The dihedral group arises as the symmetry group of many classes of molecular graphs. This group has elements and a presentation of it is as follows:
Theorem 2.
The automorphism group is isomorphic with dihedral group
Proof.
For , a labeling of vertices of is depicted in Figure 18. Suppose indicates a rotation element of the through an angle of 45. Then we can prove that , where is a subgroup generated by . Now, consider the axis symmetry which fixes no vertices, we have, By the orbit-stabilizer property, we obtain . Since no element fixes 2, we have or equivalently and thus By applying the method of [13] one can verify that and the proof is complete. □
Figure 18.
Labeling of cubic polyhedral graph where .
Theorem 3.
The automorphism group of is isomorphic with dihedral group .
Proof.
Similar to the last cases, we compute the structure of where see Figure 19. If denotes a rotation through an angle of , then we have
and so . Now, suppose
Figure 19.
Labeling of cubic polyhedral graph for .
Then and orbit-stabilizer property yields that , since . But no automorphism such that and thus . On the other hand where and then . This completes the proof. □
Theorem 4.
The automorphism group of is isomorphic with the cyclic group .
Proof.
Suppose and (Figure 20). Suppose
then , where . Hence, by the above discussion, the automorphism group can be computed as . □
Figure 20.
Labeling of fullerene graph for .
Theorem 5.
.
Proof.
Suppose and , as depicted in Figure 21. Similar to the proof of the last theorem, if denotes the rotation of F through an angle of
then . Now, suppose
Figure 21.
Labeling of vertices of polyhedral graph for .
One can show that , where and On the other hand, and the proof is complete. □
Theorem 6.
The automorphism group of is isomorphic with .
Proof.
Figure 22.
Labeling of cubic polyhedral graph for .
It can be proved that , where and hence □
4. The Wiener Index and GP-Index of Polyhedral Graphs
In this section, we investigate two descriptors introduced in this paper which are based on distances between vertices of a graph.
Theorem 7.
Suppose . For we have
Proof.
The nanotube has exactly rows. Let us to show the vertices of the last row by . Let . A straightforward (but somehow lengthy) computation yields the recurrence
It is not difficult to see that
where and can be defined similarly, see Figure 23. A direct computation yields that and This implies that The solution of this recurrence is
□
Figure 23.
Three-dimensional graph of nanotube .
Theorem 8.
For the polyhedral graph , for , we have
Proof.
First, we determine the distance matrix of polyhedral graph F which is a block matrix
where V, B and W are distances between vertices of the first cap, and the second cap and where , and are the set of vertices of the first cap, vertices of and vertices of the second cap, respectively. The matrix U is the distance matrix of vertices . Then
. If indicates the Wiener index of then for , we have , , , . In general, we get
and solution of this recurrence is
This completes the proof. □
Definition 8.
Suppose is an arbitrary vertex of graph G and . Then the symmetric total distance of x can be defined as
We have the following result.
Theorem 9.
Let G be a graph with automorphism group . If x and y are in the same orbit, then .
Proof.
Suppose are all orbits of G and and Then the number of automorphisms that map x to y, namely , is . Hence
This completes the proof. □
Example 9.
Consider the polyhedral graph , for (Figure 21). As we proved in Theorem 5, and we obtain . Also, all orbits of are
| , | |
For an orbit, for example by an easy computation we obtain . By using Theorem 9, we have
where is an arbitrary vertex. On the other hand,, , , , , , , , , , , , , and using Equation(1)yields that
Corollary 9.
For the cubic polyhedral graph it yields that
Proof.
Use Theorem 9 and Example 9 to see that we have
□
Theorem 10.
Suppose . For , we have
Proof.
Let us are the vertices of the last layer of (Figure 4). Hence
and
where and defines similarly, see Figure 24. A direct computation yields that and This implies that and so
□
Figure 24.
Three-dimensional graph of nanotube .
Theorem 11.
For ,
Proof.
By Figure 3, the distance matrix of has the following form
where and are the set of vertices of cap B, vertices of and vertices of cap C, respectively. The matrix U is the distance matrix of and . If , then for we have
Similar to the last cases, we obtain
and consequently
□
Corollary 11.
For the fullerene graph with , we have
Theorem 12.
For , we obtain
where is the number of layers of
Proof.
Suppose indicates the vertices of the last row. Similar to the last examples, we have
and
where , and defines similarly, see Figure 25. Then
Figure 25.
Two-dimensional graph of nanotube [8, 3].
This implies that , and so
□
Theorem 13.
For , we have
Proof.
Suppose , then
for , we yield that
Consequently,
and thus □
Corollary 13.
For the cubic polyhedral graph with we have
Theorem 14.
For , we have
where is the number of layers of .
Proof.
Suppose are vertices of last row of Figure 26. One can prove that that and so
□
Figure 26.
Two-dimensional graph of nanotube .
Theorem 15.
For , we obtain
Proof.
Similar to the lst theorems, suppose
Then and so , , , . This yields to and the solution of this recurrence is
□
Corollary 15.
For the cubic polyhedral graph , we have
Theorem 16.
For ,
Proof.
Suppose
where V, B and W are distance matrices of cap B, and cap C in Figure 17. Also, let U be the distance matrix of . Similar to the last cases, we have and for , we yield , , and . This means that
The solution of this recurrence yields the result. □
Corollary 16.
For the cubic polyhedral graph , we have
In Table 1, the Wiener index and the GP-index of five infinite classes of polyhedral graphs, depicted in Figure 27, are reported. Also, in Figure 28 and Figure 29, the behavior of the Wiener and GP-indices of these graphs are depicted. It should be noted that these data are derived from references [19,20,23,24,25]. Our results show that in the class of polyhedral graphs, two descriptors W and are highly correlated () and capture structural information similarly. Also, we see that the correlation values between the Wiener index and GP-index of trees are also very low, see Table 2. This implies that we can really distinguish these measures on non-polyhedral graphs. Finally, it would be important to perform a similar study to evaluate these measures on different graph classes with more structural diversity.
Table 1.
Wiener index and Graovac–Pisanski (GP)-index.
Figure 27.
All polyhedral graphs used in Table 1.
Figure 28.
Behavior of the Wiener index of graphs given in Table 1.
Figure 29.
Behavior of the GP-index of graphs given in Table 1.
Table 2.
The correlation between the Wiener index and GP-index of trees of order .
In Table 2, the correlation between the Wiener index and GP-index of trees of order are reported.
5. Summary and Conclusions
In this paper, we determined the automorphism group of some classes of cubic polyhedral graphs and then we investigated their Wiener and Graovac–Pisanski indices. An analysis of all data shows that the correlation values between the Wiener and GP-indices is very high and meaningful but these graph descriptors have quite a low correlation. Therefore, this implies that we cannot really distinguish these measures on cubic polyhedral graphs.
Author Contributions
M.G., M.H.-N., M.D., and X.L. wrote the paper. All authors have read and agreed to the published version of the manuscript.
Funding
Matthias Dehmer thanks the Austrian Science Funds for supporting this work (P30031).
Conflicts of Interest
The authors declare no conflict of interest.
References
- Wiener, H.J. Structural Determination of Paraffin Boiling Points. J. Am. Chem. Soc. 1947, 69, 17–20. [Google Scholar] [CrossRef] [PubMed]
- Harary, F. Graph Theory; Addison-Wesley: Reading, MA, USA, 1969. [Google Scholar]
- Dobrynin, A.A.; Entringer, R.; Gutman, I. Wiener index of trees: Theory and applications. Acta Appl. Math. 2001, 66, 211–249. [Google Scholar] [CrossRef]
- Guo, H.; Zhou, B.; Lin, H. The Wiener index of uniform hypergraphs. MATCH Commun. Math. Comput. Chem. 2017, 78, 133–152. [Google Scholar]
- Knor, M.; Škrekovski, R. Wiener index of line graphs. In Quantitative Graph Theory: Mathematical Foundations and Applications; Dehmer, M., Emmert-Streib, F., Eds.; CRC Press: Boca Raton, FL, USA, 2014; pp. 279–301. [Google Scholar]
- Knor, M.; Škrekovski, R.; Tepeh, A. Mathematical aspects of wiener index. Ars Math. Contemp. 2016, 11, 327–352. [Google Scholar] [CrossRef]
- Xu, K.; Liu, M.; Das, K.C.; Gutman, I.; Furtula, B. A survey on graphs extremal with respect to distance-based topolgical indices. MATCH Commun. Math. Comput. Chem. 2014, 71, 461–508. [Google Scholar]
- Graovac, A.; Pisanski, T. On the Wiener index of a graph. J. Math. Chem. 1991, 8, 53–62. [Google Scholar] [CrossRef]
- Črepnjak, M.; Tratnik, N.; Pleteršek, P.Ž. Predicting melting points of hydrocarbons by the Graovac-Pisanski index. Fuller. Nanotub. Carbon Nanostruct. 2016, 26, 239–245. [Google Scholar] [CrossRef]
- Gutman, I.; Šoltés, L. The range of the Wiener index and its mean isomer degeneracy. Z. Naturforschung 1991, 46, 865–868. [Google Scholar] [CrossRef]
- Ashrafi, A.R.; Shabani, H. The modified Wiener index of some graph operations. Ars Math. Contemp. 2016, 11, 277–284. [Google Scholar]
- Koorepazan-Moftakhar, F.; Ashrafi, A.R. Distance under symmetry. MATCH Commun. Math. Comput. Chem. 2015, 74, 259–272. [Google Scholar]
- Ghorbani, M.; Klavžar, S. Modified Wiener index via canonical metric representation, and some fullerene patches. Ars Math. Contemp. 2016, 11, 247–254. [Google Scholar] [CrossRef][Green Version]
- Tratnik, N. The Graovac-Pisanski index of zig-zag tubulenes and the generalized cut method. J. Math. Chem. 2017, 55, 1622–1637. [Google Scholar] [CrossRef]
- Knor, M.; Škrekovski, R.; Tepeh, A. Trees with the maximum value of Graovac– Pisanski index. Appl. Math. Comput. 2019, 358, 287–292. [Google Scholar]
- Knor, M.; Komorník, J.; Škrekovski, R.; Tepeh, A. Unicyclic graphs with the maximal value of Graovac-Pisanski index. Ars Math. Contemp. 2019, 17, 455–466. [Google Scholar] [CrossRef]
- Knor, M.; Škrekovski, R.; Tepeh, A. On the Graovac-Pisanski index of a graph. Acta Math. Univ. Comen. 2019, 88, 867–870. [Google Scholar]
- Črepnjak, M.; Knor, M.; Tratnika, N.; Pleteršek, P.Ž. The Graovac-Pisanski index of a connected bipartite graph is an integer number. arXiv 2017, arXiv:1709.04189v1. [Google Scholar]
- Hakimi-Nezhaad, M.; Ghorbani, M. Differences between Wiener and modified Wiener indices. J. Math. NanoSci. 2014, 4, 19–25. [Google Scholar]
- Ghorbani, M.; Hakimi-Nezhaad, M. An algebraic study of non-classical fullerenes. Fuller. Nanotub. Carbon Nanostruct. 2016, 24, 385–390. [Google Scholar] [CrossRef]
- Knor, M.; Škrekovski, R.; Tepeh, A. On the difference between Wiener index and Graovac–Pisanski index. MATCH Commun. Math. Comput. Chem. 2020, 83, 109–120. [Google Scholar]
- Ghorbani, M. Fullerene graphs with pentagons and heptagons. J. Math. Nanosci. 2013, 3, 33–37. [Google Scholar]
- Ghorbani, M.; Hakimi-Nezhaad, M.; Abbasi Barfaraz, F. An algebraic approach to Wiener number. J. Appl. Math. Comput. 2016, 55, 629–643. [Google Scholar] [CrossRef]
- Ghorbani, M.; Hakimi-Nezhaad, M. Polyhedral graphs under automorphism groups. Stud. Ubb Chem. 2016, LXI, 261–272. [Google Scholar]
- Hakimi-Nezhaad, M.; Ghorbani, M. On the Graovac-Pisanski index. Kragujev. J. Sci. 2017, 39, 91–98. [Google Scholar] [CrossRef]
- Ghorbani, M.; Hakimi-Nezhaad, M. Study of fullerenes via their symmetry groups. Fuller. Nanotub. Carbon Nanostruct. 2017, 25, 613–623. [Google Scholar] [CrossRef]
- Khaksari, A.; Hakimi-Nezhaad, M.; Ori, O.; Ghorbani, M. A survey of the automorphism groups of some fulleroids. Fuller. Nanotub. Carbon Nanostruct. 2018, 26, 80–86. [Google Scholar] [CrossRef]
- Koorepazan-Moftakhar, F.; Ashrafi, A.R.; Ori, O. Symmetry groups and Graovac—Pisanski index of some linear polymers. Quasigroups Relat. Sys. 2018, 26, 87–102. [Google Scholar]
- Ashrafi, A.R.; Koorepazan-Moftakhar, F.; Diudea, V.M.; Ori, O. Graovac–Pisanski index of fullerenes and fullerene—like molecules. Fuller. Nanotub. Carbon Nanostruct. 2016, 24, 779–785. [Google Scholar] [CrossRef]
- Madani, S.; Ashrafi, A.R. Symmetry and two symmetry measures for the web and spider web graphs. J. Appl. Math. Comput. 2020, 1–12. [Google Scholar] [CrossRef]
- Tratnik, N.; Pleteršek, P.Ž. The Graovac-Pisanski index of armchair nanotubes. J. Math. Chem. 2018, 56, 1103–1116. [Google Scholar] [CrossRef]
- Dixon, J.D.; Mortimer, B. Permutation Groups; Springer: Berlin/Heidelberg, Germany, 1966. [Google Scholar]
- Deza, M.; Dutour Sikirić, M.; Fowler, P.W. Zigzags, railroads, and knots in fullerenes. J. Chem. Inf. Comp. Sci. 2004, 44, 1282–1293. [Google Scholar] [CrossRef]
- Dutour Sikirić, M.; Delgado-Friedrichs, O.; Deza, M. Space fullerenes: Computer search for new Frank-Kasper structures. Acta Crystallogr. A 2010, 66, 602–615. [Google Scholar] [CrossRef] [PubMed]
- Fowler, P.W.; Manolopoulos, D.E. An Atlas of Fullerenes; Oxford University Press: New York, NY, USA, 1995. [Google Scholar]
- Zhang, H.; Ye, D. An upper bound for the Clar number of fullerene graphs. J. Math. Chem. 2007, 41, 123–133. [Google Scholar] [CrossRef]
- Ghorbani, M.; Dehmer, M.; Emmert-Streib, F. Properties of entropy-based topological measures of fullerenes. Mathematics 2020, 8, 740. [Google Scholar] [CrossRef]
- Ghorbani, M.; Dehmer, M.; Mowshowitz, A.; Tao, J.; Emmert-Streib, F. The Hosoya entropy of graphs revisited. Symmetry 2019, 11, 1013. [Google Scholar] [CrossRef]
- Ghorbani, M.; Dehmer, M.; Rahmani, S.; Rajabi-Parsa, M. A Survey on symmetry group of polyhedral graphs. Symmetry 2020, 12, 370. [Google Scholar] [CrossRef]
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).