The Graovac-Pisanski Index of Armchair Nanotubes
Niko Tratnik, Petra \v{Z}igert Pleter\v{s}ek

TL;DR
This paper derives closed-form formulas for the Graovac-Pisanski index, a symmetry-aware molecular graph invariant, specifically applied to armchair carbon nanotubes modeled as cylindrical hexagonal lattice subgraphs.
Contribution
It provides the first explicit formulas for the Graovac-Pisanski index of armchair nanotubes, linking molecular symmetry with a modified Wiener index.
Findings
Closed formulas for the Graovac-Pisanski index of armchair nanotubes
Analysis of automorphisms and orbits in nanotube graphs
Enhanced understanding of symmetry in molecular graph indices
Abstract
The Graovac-Pisanski index, which is also called the modified Wiener index, considers the symmetries and the distances in molecular graphs. Carbon nanotubes are molecules made of carbon with a cylindrical structure possessing unusual valuable properties. In a mathematical model we can consider them as a subgraph of a hexagonal lattice embedded on a cylinder with some vertices being identified. In the present paper, we investigate the automorphisms and the orbits of armchair nanotubes and derive the closed formulas for their Graovac-Pisanski index.
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The Graovac-Pisanski index of armchair nanotubes
Niko Tratnika, Petra Žigert Pleteršeka,b
a**Faculty of Natural Sciences and Mathematics, University of Maribor, Slovenia
b**Faculty of Chemistry and Chemical Engineering, University of Maribor, Slovenia
e-mail: [email protected], [email protected]
()
Abstract
The Graovac-Pisanski index, which is also called the modified Wiener index, considers the symmetries and the distances in molecular graphs. Carbon nanotubes are molecules made of carbon with a cylindrical structure possessing unusual valuable properties. In a mathematical model we can consider them as a subgraph of a hexagonal lattice embedded on a cylinder with some vertices being identified. In the present paper, we investigate the automorphisms and the orbits of armchair nanotubes and derive the closed formulas for their Graovac-Pisanski index.
Key words: modified Wiener index; Graovac-Pisanski index; armchair nanotube; carbon nanotube; graph distance; automorphism group
1 Introduction
Theoretical molecular descriptors are graph invariants that play an important role in chemistry, pharmaceutical sciences, etc. The most famous molecular descriptor is the Wiener index introduced in 1947 [19].
The Graovac-Pisanski index is a molecular descriptor that considers symmetries and distances in a graph. It measures how far the vertices of a graph are moved on the average by its automorphisms. The Graovac-Pisanski index was introduced by Graovac and Pisanski in 1991 [7] under the name modified Wiener index. However, the name modified Wiener index was later used for different variations of the Wiener index [8, 13, 14]. Therefore, we use the name Graovac-Pisanski index as suggested by Ghorbani and Klavžar in [6].
Carbon nanotubes are carbon compounds with a cylindrical structure, first observed in 1991 [9]. The extremely large ratio of length to diameter causes unusual properties of these molecules, which are valuable for nanotechnology, electronics, optics and other fields of materials science and technology. Carbon nanotubes can be open-ended or closed-ended. Open-ended single-walled carbon nanotubes are also called tubulenes.
It was shown in [3] that the quotient of the Wiener index and the Graovac-Pisanski index is strongly correlated with the topological efficiency for some nanostructures. The topological efficiency was introduced in [5, 15] as a tool for the classification of the stability of molecules.
For recent studies on the Graovac-Pisanski index of some molecular graphs and nanostructures see also [1, 2, 4, 10, 11, 12, 17]. Moreover, the Graovac-Pisanski index of zig-zag nanotubes was computed in [18]. We use similar ideas to compute this index for armchair nanotubes, but in some places our computation is more difficult and requires some additional insights.
In the present paper we first describe the automorphisms of armchair nanotubes and compute the orbits under the natural action of the automorphism group on the set of vertices of a graph. In the second part, the Graovac-Pisanski index for these nanotubes is computed. For this purpose, different cases according to the number of layers and the width of a nanotube are considered. Final results are then gathered in Table 3.
2 Preliminaries
Unless stated otherwise, the graphs considered in this paper are finite and connected. The distance between vertices and of a graph is the length of a shortest path between vertices and in . We also write for . Furthermore, if and , we define .
The Wiener index of a graph is defined as . Moreover, if , then .
An isomorphism of graphs and with is a bijection between the vertex sets of and , , such that for any two vertices and of it holds that if and are adjacent in then and are adjacent in . When and are the same graph, the function is called an automorphism of . The composition of two automorphisms is another automorphism, and the set of automorphisms of a given graph , under the composition operation, forms a group , which is called the automorphism group of the graph .
The Graovac-Pisanski index of a graph , , is defined as
[TABLE]
Next, we repeat some important concepts from group theory. If is a group and is a set, then a group action of on is a function that satisfies the following: for any (here, is the neutral element of ) and for all and . The orbit of an element in is the set of elements in to which can be moved by the elements of , i.e. the set . If is a graph and the automorphism group, then , defined by for any , , is called the natural action of the group on .
It was shown in [7] that if are the orbits under the natural action of the group on , then
[TABLE]
We also introduce , which is the sum of the Wiener indices of orbits of .
The dihedral group is the group of symmetries of a regular polygon with sides. Therefore, the group has elements. The cyclic group is a group that is generated by a single element of order . Given groups and , the direct product is defined as follows. The underlying set is the Cartesian product and the binary operation on is defined component-wise: , .
If and are groups, then a group isomorphism is a bijective function such that for all and in it holds .
Finally, we will formally define open-ended carbon nanotubes, also called tubulenes (see [16]). Choose any lattice point in the hexagonal lattice as the origin . Let and be the two basic lattice vectors. Choose a vector such that and are two integers and , . Draw two straight lines and passing through and perpendicular to , respectively. By rolling up the hexagonal strip between and and gluing and such that and superimpose, we can obtain a hexagonal tessellation of the cylinder. and indicate the direction of the axis of the cylinder. Using the terminology of graph theory, a tubulene is defined to be the finite graph induced by all the hexagons of that lie between and , where and are two vertex-disjoint cycles of encircling the axis of the cylinder. The vector is called the chiral vector of and the cycles and are the two open-ends of .
For any tubulene , if its chiral vector is , will be called an -type tubulene, see Figure 1. If is a -type tubulene where , we call it an armchair tubulene.
3 Armchair tubulenes and their automorphisms
Let be an armchair tubulene such that and are the shortest possible cycles encircling the axis of the cylinder and such that there is the same number of hexagons in every column of hexagons (see Figure 2). If has vertical layers of hexagons, each containing exactly hexagons, then we denote it by . Obviously, must be an even number. Note that is a -type tubulene. We always assume that and . Moreover, let and be subgraphs of induced by and , respectively.
Obviously, has layers of vertices and every layer has two types of vertices, i.e. type [math] and type . In the figures the vertices of type [math] always lie lower than the vertices of type . The set of vertices of type in layer is denoted by . Moreover, let the vertices in be denoted as follows: . See Figure 2 for an example.
In this section, we determine the orbits under the natural action of the group on the set . First, one lemma is needed.
Lemma 3.1
Let be an isomorphism between subgraphs and , where . Then there is exactly one automorphism such that for any .
**Proof. ** Let be an isomorphism where . For any we define . In the rest of the proof we will define function step by step such that every edge will be mapped to an edge and will be a bijection.
First let . Then there is exactly one such that and are adjacent. Since the degree of is 3, let and be the other two neighbours of in . Obviously, , and are already defined and it holds that and are both adjacent to . Since the degree of is 3, we define to be the neighbour of , different from and . This can be done for any .
Now let . Then there is exactly one vertex such that is adjacent to . Let and be the other two neighbours of . It is easy to see that , , and are already defined. Also, the degree of is . Therefore, we define to be the neighbour of , different from and . This can be done for any .
With the procedure above we have defined function on the set of vertices such that for any two adjacent vertices , it holds that and are also adjacent. Using induction, we can define function on the set such that for any two adjacent vertices it holds that and are adjacent. Since is also bijective, it is an automorphism of the graph . It follows from the construction that is also unique. Therefore, the proof is complete.
Finally, we obtain the orbits under the natural action of the group on the set .
Theorem 3.2
The orbits under the natural action of the group on the set are:
if is odd
[TABLE]
[TABLE]
- 2.
if is even
[TABLE]
[TABLE]
[TABLE]
**Proof. ** It follows from the proof of Lemma 3.1 that for any vertex of type in layer , where , , and any vertex in layer of type or in layer of type , there is an automorphism that maps to . We notice that this also works when is even and , which means that if and , there is an automorphism that maps to .
Also, if is in layer and is in layer , , the distance from to or , i.e. , can not be the same as the distance from to or , i.e. . Therefore, there is no automorphism that maps to .
Moreover, if and or , where , , then the numbers and can not be the same. Again, there is no automorphism that maps to .
Therefore, the proof is complete.
Lemma 3.1 claims that any isomorphism between subgraphs and , where , can be extended to the automorphism of the graph . In the next proposition we show the other direction.
Proposition 3.3
Let be an automorphism. Then the function , for , defines an automorphism of or an isomorphism from to .
**Proof. ** The graph contains exactly two disjoint cycles of length with exactly vertices of degree 2 in the graph . These two are and . Therefore, automorphism maps to either or and the proof is complete.
Hence, we obtain that all the automorphisms of graph can be obtained by finding all the automorphisms of subgraph and all the isomorphisms from subgraph to subgraph . It is easy to see that the automorphism group of subgraph is isomorphic to the dihedral group . Moreover, any isomorphism from to can be obtained as the composition of an automorphism of subgraph and a fixed isomorphism from to . Therefore, we state the following conjecture.
Conjecture 3.4
Let be an armchair tubulene. The automorphism group of the graph is isomorphic to the direct product of the dihedral group and the cyclic group .
4 The Graovac-Pisanski index of armchair tubulenes
In this section, we calculate the Graovac-Pisanski index of armchair tubulenes. We have to consider the following four cases. The first part is explained in details, while for the remaining cases only the important results are given. We always denote by an arbitrary element of and by an arbitrary element of .
is even and
It is enough to compute and since, for example, of the graph is exactly of the graph (the graph is a convex subgraph of the graph ). Beside that, we need to calculate . Since the graph induced on the vertices in is an isometric cycle of length , we have .
Next, we need to calculate and therefore, we consider distances between some vertices on the cycle of length , see Figure 3. Note that the thick vertices represent the vertices in set . Therefore,
[TABLE]
Obviously, . To determine and , we consider two cases.
- (a)
In this case, we can draw two lines and , see Figure 4. All vertices of are between lines and or near lines and (at most vertices).
It is easy to observe that a shortest path from vertex to some vertex can be obtained by joining a path following line or line and a vertical path. Therefore, the distance from to the vertex directly above equals and the distance increases by for every next vertex in (in both directions). For an example see Figure 4. Hence, we get
[TABLE]
Therefore,
[TABLE]
and since every vertex in has equivalent position, we deduce
[TABLE] 2. (b)
In this case, we also draw two lines and as before. There are exactly vertices of between lines and , exactly vertices ( on each side) of near lines and , and other vertices. See Figure 5.
We can notice that the distance from to the vertex directly above is and that the distance from increases by (in both directions) for every next vertex among other vertices that are between or near lines and . Afterwards, for the rest vertices the increase of the distance from alternates between and in both directions. Therefore, we get
[TABLE]
Consequently,
[TABLE]
and since every vertex in has equivalent position, we obtain
[TABLE]
To compute , we also consider two cases.
- (a)
Similar as before, we can draw two lines and as shown in Figure 6. All vertices of are between lines and or near the lines and (at most vertices).
It is easy to observe that the distance from vertex to the vertex directly above equals and that the distance increases by for every next vertex in (in both directions). For an example see Figure 6. Hence, we get
[TABLE]
Therefore,
[TABLE]
and since every vertex in has equivalent position, we deduce
[TABLE] 2. (b)
In this case, we also draw two lines and as in the previous case. There are exactly vertices of between lines and , exactly vertices ( on each side) of near lines and , and other vertices.
We can notice that the distance from to the vertex directly above is and that the distance from increases by (in both directions) for every next vertex among other vertices that are between or near lines and . Afterwards, for the rest vertices the increase of the distance from alternates between and in both directions. Therefore, we get
[TABLE]
Consequently,
[TABLE]
and since every vertex in has equivalent position, we get
[TABLE]
Putting all the results together, we obtain Table 1.
To compute , we use Formula 1. First define the following functions:
[TABLE]
One can easily notice that if and if (and similar can be done for ). Now consider the following four cases.
- (a)
It follows
[TABLE]
- (b)
For it follows
[TABLE]
The case can be easily computed in a similar way.
- (c)
and
For it follows
[TABLE]
The case can be easily computed in a similar way.
- (d)
and
For it follows
[TABLE]
The cases or can be easily computed in a similar way.
To compute all the sums from the previous cases, we use a computer program. Since and the cardinality of any orbit of is , it is easy to see that . The results are presented in the first part of Table 3. 2. 2.
is even and
All the details are similar to the case 1. Therefore, the important results are presented in Table 2. We also have . The values of the Graovac-Pisanski index in this case are shown in the second part of Table 3.
is odd and
All the details are similar to the case 1. It turns out that the distances are the same as for even . Therefore, we can consider Table 1. The values of the Graovac-Pisanski index in this case are shown in the third part of Table 3. 4. 4.
is odd and
All the details are similar to the case 1. As above it turns out that the distances are the same as for even . Therefore, we can consider Table 2. The values of the Graovac-Pisanski index in this case are shown in the last part of Table 3.
Finally, the results for the Graovac-Pisanski index of are shown in Table 3. The results for some small cases are omitted.
Acknowledgment
The author Petra Žigert Pleteršek acknowledge the financial support from the Slovenian Research Agency (research core funding No. P1-0297).
The author Niko Tratnik was financially supported by the Slovenian Research Agency.
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