Home Physical Sciences Computing multiple ABC index and multiple GA index of some grid graphs
Article Open Access

Computing multiple ABC index and multiple GA index of some grid graphs

  • Wei Gao EMAIL logo , Muhammad Kamran Siddiqui , Muhammad Naeem and Muhammad Imran
Published/Copyright: October 16, 2018

Abstract

Topological indices are the atomic descriptors that portray the structures of chemical compounds and they help us to anticipate certain physico-compound properties like boiling point, enthalpy of vaporization and steadiness. The atom bond connectivity (ABC) index and geometric arithmetic (GA) index are topological indices which are defined as ABC(G)=uvE(G)du+dv2dudv and GA(G)=uvE(G)2dudvdu+dv, respectively, where du is the degree of the vertex u. The aim of this paper is to introduced the new versions of ABC index and GA index namely multiple atom bond connectivity (ABC) index and multiple geometric arithmetic (GA) index. As an application, we have computed these newly defined indices for the octagonal grid Opq, the hexagonal grid H(p, q) and the square grid Gp, q. Also, we compared these results obtained with the ones by other indices like the ABC4 index and the GA5 index.

PACS: 02.10.Ox

1 Introduction

There are sure concoction exacerbates that are helpful for the survival of living things. Carbon, oxygen, hydrogen and nitrogen are the primary components that aides in the generation of cells in the living things. Carbon is a fundamental component for human life. It is helpful in the arrangements of proteins, sugars and nucleic acids. It is crucial for the development of plants as carbon dioxide. The carbon atoms can bond together in different ways, called allotropes of carbon. The outstanding structures are graphite and jewel. As of late, numerous new structures have been found including nanotubes, buckminster fullerene and sheets, precious stone cubic structure, and so forth. The utilizations of various allotropes of carbon are talked about in detail in [1].

A graph G is simply a collection of points and lines that connect the points or subset of points. The points are called vertices of G and lines are called edges of G. The vertices set and edges set of G are denoted as V(G) and E(G), respectively. If e is an edge of G that connects the vertices u and v, then we can write e = uv. A graph is called connected graph if there is a path between all pairs of vertices. The degree of a vertex v in the graph G is the number of edges which are incident to the vertex v and will be represented by dv.

Let Γ be the family of finite graphs. A function T from Γ into set of real numbers having T(G) = T(H) property, for isomorphic G and H, is called a topological index. Someone can clearly notice that the vertices cardinality and the edges cardinality are topological indices. The earliest known topological index is Wiener index [2] and its based on distance, it is characterized as the sum of the half of distances between every pairs of vertices in a graph.

If u, vV(G), then the distance between the vertices u and v is given by the length of any arbitrary shortest path in G that connects u and v. Another well known and one of the earliest degree dependent index was due to Milan Randi´c [3] in 1975, characterized as the sum of the negative square root of the product of degree of the end vertices of each edge of the graph.

One can define the family of atom bond connectivity topological indices [4] consisting of elements(member) of the form ABC(G)=uvE(G)Ju+Jv2JuJv, where Ju is some number that in a uniquely way can be assigned with the vertex u of graph G. One of the element of Γ is the atom bond connectivity index introduced by Estrada et al. [5]:

ABC(G)=uvE(G)du+dv2dudv.(1)

Another well known member of Γ is the fourth version of atom bond connectivity denoted as ABC4 topological index of a graph G, introduced by Ghorbhani et.al. [6]:

ABC4(G)=uvE(G)Su+Sv2SuSv.(2)

where Su=uvE(G)dv,Sv=uvE(G)du.

Here, we define a new member of this family Γ, namely multiple atom bond connectivity index and it is defined as follows:

ABCM(G)=uvE(G)Mu+Mv2MuMv.(3)

where Mu=uvE(G)dv,Mv=uvE(G)du.

A family Λ of geometric arithmetic topological indices consisting of elements(member) of the form GA(G)=uvE(G)2JuJvJu+Jv, where Ju is some number that in a uniquely way can be assigned with the vertex u of G. One of the other member of Λ is the geometric arithmetic index GA of a graph G introduced by Vukičević et.al. [7]:

GA(G)=uvE(G)2dudvdu+dv.(4)

Another well known member of Λ is the fifth version of geometric arithmetic index and is denoted by GA5 topological index of a graph G, introduced by Graovoc et.al. [8]:

GA5(G)=uvE(G)2SuSvSu+Sv.(5)

Here, we define a new member of Λ namely multiple geometric -arithmetic index and it is characterized as:

GAM(G)=uvE(G)2MuMvMu+Mv.(6)

For more information and properties of topological indices, see [9101112131415].

Moreover this idea of computing the topological indices is helpful to discuss the concept of entropy. The entropy of Shannon, Rényi and Kolmogorov are analyzed and compared together with their main properties. The entropy of some particular antennas with a pre-fractal shape, also called fractal antennas, is studied [16]. Fractional derivative of the Riemann zeta function has been explicitly computed and the convergence of the real part and imaginary parts are studied with the help of topological indices [17, 18].

The aim of this paper is the introduction of the multiple atom bond connectivity index and multiple geometric arithmetic index. As an application we shall compute these new indices for the octagonal grid Opq, the hexagonal grid H(p, q) and the square grid Gp,q. Also, we compared these results obtained with the ones obtained by other indices like fourth atom bond connectivity index and fifth geometric arithmetic index via their computation too. But first we shall see some examples.

Example 1

Let G = Kn be the complete graph, then for all uV(Kn), the du = n − 1, so Mu = (n − 1)n−1. Thus

ABCM(G)=n×(n1)n112(n1)n2GAM(G)=n(n1)2.

Example 2

If G = Cn be the cycle graph, then for all uV(Cn), then du = 2, so Mu = 4. Thus

ABCM(G)=n46GAM(G)=n.

Example 3

If G = Pn, n ≥ 5 be the path graph of length n, then for all uV(Pn), we can compute easily as:

ABCM(G)=n546+42GAM(G)=n1.

2 Applications of topological indices

The atom bond connectivity index (ABC) is a topological descriptor that has correlated with a lot of chemical characteristics of the molecules and has been found to the parallel to computing the boiling point and Kovats constants of the molecules. Moreover, the atom bond connectivity (ABC) index provides a very good correlation for the stability of linear alkanes as well as the branched alkanes and for computing the strain energy of cyclo alkanes [19, 20]. To correlate with certain physico-chemical properties, GA index has much better predictive power than the predictive power of the Randic connectivity index [21]. The first Zagreb index and second Zagreb index were found to occur for computation of the total π-electron energy of the molecules within specific approximate expressions [222324]. These are among the graph invariants, who were proposed for measurement of skeleton of branching of the carbon-atom [25].

3 The octagonal grid Opq

In [26] and [27] Diudea et. al. constitute a C4C8 net consisting of a trivalent decoration constructed by alternating octagons and squares in two different manners. One is by alternating squares C4 and octagons C8 in different ways denoted by C4C8(S) and other is by alternating rhombus and octagons in different ways denoted by C4C8(R).We denote C4C8(R) by Opq see Figure 1. In [28] they also called it as the Octagonal grid.

Figure 1 The octagonal grid O85 $O_{8}^5$
Figure 1

The octagonal grid O85

For p, q ≥ 1 the octagonal grid Opq, is the grid with p horizontal octagons and q vertical octagons. Therefore, in Opq the number vertices and edges are 4pq + 2p + 2q and 6pq + p + q, respectively. In this paper, we consider Opq for p, q ≥ 2.

Table 1

Partition of edges Opq based on sum of degrees belonging to neighbourhood of each vertex.

(Su, Sv)Frequency
(4, 4)4
(4, 5)8
(5, 5)2p + 2q – 8
(5, 7)4p + 4q – 8
(7, 9)2p + 2q – 4
(9, 9)6pq − 7p − 7q + 8
Table 2

Partition of edges Opq based on product of degree belonging to neighbourhood of each vertex.

(Mu, Mv)Frequency
(4, 4)4
(4, 6)8
(6, 6)2p + 2q – 8
(6, 12)4p + 4q – 8
(12, 27)2p + 2q – 4
(27, 27)6pq − 7p − 7q + 8

3.1 Results for the octagonal grid Opq

Now we shall compute fourth atom bond connectivity index, fifth geometric arithmetic index, multiple atom bond connectivity index and multiple geometric arithmetic index and we shall compare the results obtained for Opq with for p, q ≥ 2. For this we shall use Table 1 and Table 2. In Table 1 we have partitioned the edges of based on the sum of degrees for each pair of vertices incident to same edge. In Table 2 we have partitioned the edges of Opq based on product of degrees of the neighbouring vertices to each pair of vertices incident to same edge. This will help us to develop the theorems of present section.

Theorem 1

For every p, q ≥ 2, consider the graph of GOpq. Then the fourth atom bond connectivity index ABC4(G) is given as

ABC4(G)=8pq328q9+4355+(2(2p+2q8))25+(4p+4q8)147+(2p+2q4)23+329+628p9.

Proof

Let G be the graph of Opq. Then by using Table 1 and equation (2), the fourth atom bond connectivity index ABC4(G) is computed below.

ABC4(G)=uvE(G)Su+Sv2SuSvABC4(Opq)=44+424×4+84+524×5+(2p+2q8)5+525×5+(4p+4q8)5+725×7+(2p+2q4)7+927×9+(6pq7p7q+8)9+929×9.

After some easy calculations we get:

ABC4(Opq)=8pq328q9+4355+(2(2p+2q8))25+(4p+4q8)147+(2p+2q4)23+329+628p9

Theorem 2

If GOpq for every p, q ≥ 2, then the multiple atom bond connectivity index ABCM(G) is :

ABCM(Opq)=(6pq7p7q+8)5227+(2p+2q8)106+(4p+4q8)23+(2p+2q4)3718+6+833.

Proof

Let G be the graph of Opq. Then by using Table 2 and equation (3), the multiple atom bond connectivity index ABCM(G) is computed as:

ABCM(G)=uvE(G)Mu+Mv2MuMvABCM(Opq)=44+424×4+84+624×6+(2p+2q8)6+626×6+(4p+4q8)6+1226×12+(2p+2q4)12+27212×27+(6pq7p7q+8)27+27227×27.

After some easy calculations we obtained:

ABCM(Opq)=(6pq7p7q+8)5227+(2p+2q8)106+(4p+4q8)23+(2p+2q4)3718+6+833.

Theorem 3

If GOpq for every p, q ≥ 2, then the fifth geometric arithmetic index GA5(G) is:

GA5(Opq)=6pq5p5q+(8p+8q16)3512+(4p+4q8)6316+4+3259.

Proof

Let G be the graph of Opq. Then by using Table 1 and equation (5), the fifth geometric arithmetic index GA5(G) is computed as below:

GA5(G)=uvE(G)2SuSvSu+SvGA5(Opq)=(4)24×44+4+(8)24×54+5+(2p+2q8)25×55+5+(4p+4q8)25×75+7+(2p+2q4)27×97+9+(6pq7p7q+8)29×99+9.

After some easy calculations we get:

GA5(Opq)=6pq5p5q+(8p+8q16)3512+(4p+4q8)6316+4+3259.

Theorem 4

For every p, q ≥ 2 consider the graph of GOpq. The multiple geometric arithmetic index GAM(G) is:

GAM(Opq)=6pq41p1341q13+(8p+8q16)23+413+1665.

Proof

Let G be the graph of Opq. Then by using Table 2 and equation (6). the multiple geometric arithmetic index GAM(G) is computed below:

GAM(G)=uvE(G)2MuMvMu+MvGAM(Opq)=(4)24×44+4+(8)24×64+6+(2p+2q8)26×66+6+(4p+4q8)26×126+12+(2p+2q4)212×2712+27+(6pq7p7q+8)227×2727+27.

After some easy calculations we get:

GAM(Opq)=6pq41p1341q13+(8p+8q16)23+413+1665.

4 The hexagonal grid H(p, q)

In this section we shall compute fourth atom bond connectivity index, fifth geometric arithmetic index, multiple atom bond connectivity index and multiple geometric arithmetic index for hexagonal grid H(p, q). Also we shall compare these results obtained in the last section. For p, q ≥ 1 the hexagonal grid H(p, q) consists of p octagons in a row (horizontal) and q represents the number of rows see Figure 2. One can easily see that in H(p, q) the number vertices and edges are 2pq + 2p + 2q and 3pq+2p+2q−1, respectively. In this paper the we consider H(p, q) for p, q ≥ 2.

Figure 2 The hexagonal grid H(10, 6).
Figure 2

The hexagonal grid H(10, 6).

For this we shall use Table 3 and Table 4. In Table 3 we have partitioned the edges of H(p, q) based on the sum of degrees for each pair of vertices incident to same edge. In Table 4 we have partitioned the edges of H(p, q) based on product of degrees of the neighbouring vertices to each pair of vertices incident to same edge. This will help us to develop the theorems of present section.

Table 3

Partition of edges H(p, q) based on sum of degrees belonging to neighbourhood of each vertex.

Su, Sv)Frequency
(4, 5)4
(5, 5)q
(5, 7)8
(5, 8)2q − 4
(6, 7)4p − 8
(7, 9)2p
(8, 8)q − 2
(8, 9)2q − 4
(9, 9)3pq − 4p − 4q + 5
Table 4

Partition of edges H(p, q) based on product of degree belonging to neighbourhood of each vertex.

(Mu, Mv)Frequency
(4, 6)4
(6, 6)q
(6, 12)8
(6, 18)2q − 4
(9, 12)4p − 8
(12, 27)2p
(18, 18)q − 2
(18, 27)2q − 4
(27, 27)3pq − 4p − 4q + 5

4.1 Results for the hexagonal grid H(p, q)

Now we shall compute fourth atom bond connectivity index, fifth geometric arithmetic index, multiple atom bond connectivity index and multiple geometric arithmetic index and we shall compare the results obtained for H(p, q) with for p, q ≥ 2. For this we shall use Table 3 and Table 4. In Table 3 we have partitioned the edges of H(p, q) based on the sum of degrees for each pair of vertices incident to same edge. In Table 4 we have partitioned the edges of H(p, q) based on product of degrees of the neighbouring vertices to each pair of vertices incident to same edge. This will help us to develop the theorems of present section.

Theorem 5

For every p, q ≥ 2 consider the graph of GH(p, q). The fourth atom bond connectivity index ABC4(G) of H(p, q) is given as

ABC4(H(p,q))=4pq316q916p9+(2q4)11020+(4p8)46242+22p3+(q2)148+(2q4)3012+2355+22q5+8147+209

Proof

Let G be the graph of H(p, q). Then as in Theorem 1, by using Table 3, equation (1) and following computations, the result follows:

ABC4(G)=uvE(G)Su+Sv2SuSvABC4(H)=(4)4+524×5+(q)5+525×5+(8)5+725×7+(2q4)5+825×8+(4p8)6+726×7+(2p)7+927×9+(q2)8+828×8+(2q4)8+928×9+(3pq4q4p+5)9+929×9

One can easily calculate that

ABC4(H(p,q))=4pq316q916p9+(2q4)11020+(4p8)46242+22p3+(q2)148+(2q4)3012+2355+22q5+8147+209

Theorem 6

For every p, q ≥ 2 consider the graph of GH(p, q). The multiple atom bond connectivity index ABCM(G) of H(p, q) is given as

ABCM(H(p,q))=433+10q6+823+(2q4)6618+(4p8)5718+37p9+(q2)3418+(2q4)25854+(3pq4q4p+5)5227

Proof

Let G be the graph of H(p, q). Then as in Theorem 2, by using Table 4, equation (2) and following computations, the result follows.

ABCM(H(p,q))=(4)4+624×6+(q)6+626×6+(8)6+1226×12+(2q4)6+1826×18+(4p8)9+1229×12+(2p)12+27212×27+(q2)18+18218×18+(2q4)18+27218×27+(3pq4q4p+5)27+27227×27

One can easily calculate that

ABCM(H(p,q))=433+10q6+823+(2q4)6618+(4p8)5718+37p9+(q2)3418+(2q4)25854+(3pq4q4p+5)5227

Theorem 7

For every p, q ≥ 2 consider the graph of GH(p, q). The fifth geometric arithmetic index GA5 of H(p, q) is given as

GA5(H(p,q))=16592q+4353+(4q8)4013+(8p16)4213+3p74+3+(4q8)7217+3pq4p.

Proof

Let G be the graph of H(p, q). Then as in Theorem 3, by using Table 3, equation (3) and the following computations, the result follows.

GA5(H(p,q))=(4)24×54+5+(q)25×55+5+(8)25×75+7+(2q4)25×85+8+(4p8)26×76+7+(2p)27×97+9+(q2)28×88+8+(2q4)28×98+9+(3pq4p4q+5)29×99+9.

After some easy calculations we get

GA5(H(p,q))=16592q+4353+(4q8)4013+(8p16)4213+3p74+3+(4q8)7217+3pq4p.

Theorem 8

For every p, q ≥ 2 consider the graph of GH(p, q). The multiple geometric arithmetic index GAM of H(p, q) is given as

GAM(H(p,q))=8652q+1623+(4q8)34+(8p16)12728p13+3+(4q8)65+3pq.

Proof

Let G be the graph of H(p, q). Then as in Theorem4, by using Table 4, equation (4) and the calculations below, the result follows.

GAM(H(p,q))=(4)24×64+6+(q)26×66+6+(8)26×126+12+(2q4)26×186+18+(4p8)29×129+12+(2p)212×2712+27+(q2)218×1818+18+(2q4)218×2718+27+(3pq4p4q+5)227×2727+27.

After some computation, we obtained the following result

GAM(H(p,q))=8652q+1623+(4q8)34+(8p16)12728p13+3+(4q8)65+3pq.

5 The square grid Gp,q

In this section we shall compute fourth atom bond connectivity index, fifth geometric arithmetic index, multiple atom bond connectivity index and multiple geometric arithmetic index for square grid Gp,q and we shall compare the results obtained in the last section. For p, q ≥ 1 the square grid Gp,q consists of p horizontal squares and q vertical squares, see Figure 3. One can easily see that in Gp,q the number vertices and edges are pq + p + q + 1 and 2pq + p + q, respectively. In this paper the we consider Gp,q for p, q _ 4. For this we shall use Table 5 and Table 6 . In Table 5 we have partitioned the edges of Gp,q based on the sum of degrees for each pair of vertices incident to same edge. In Table 6 we have partitioned the edges of Gp,q based on product of degrees of the neighbouring vertices to each pair of vertices incident to same edge. This will help us to develop the theorems of present section.

Figure 3 The square grid G9,7.
Figure 3

The square grid G9,7.

5.1 Results for the square grid Gp,q

Now we shall compute fourth atom bond connectivity index, fifth geometric arithmetic index, multiple atom bond connectivity index and multiple geometric arithmetic index and we shall compare the results obtained for Gp,q with for p, q ≥ 4. For this we shall use Table 5 and Table 6. In Table 5 we have partitioned the edges of Gp,q based on the sum of degrees for each pair of vertices incident to same edge. In Table 6 we have partitioned the edges of Gp,q based on product of degrees of the neighbouring vertices to each pair of vertices incident to same edge. This will help us to develop the theorems of present section.

Table 5

Partition of edges Gp,q based on sum of degrees belonging to neighbourhood of each vertex.

(Su, Sv)Frequency
(6, 9)8
(9, 10)8
(10, 10)2p + 2q − 16
(9, 14)8
(10, 15)2p + 2q − 12
(14, 15)8
(15, 15)2p + 2q − 16
(15, 16)2p + 2q − 12
(16, 16)2pq − 7p − 7q + 24
Table 6

Partition of edges Gp,q based on product of degree belonging to neighbourhood of each vertex.

(Mu, Mv)Frequency
(4, 6)4
(6, 6)q
(6, 12)8
(6, 18)2q − 4
(9, 12)4p − 8
(12, 27)2p
(18, 18)q − 2
(18, 27)2q − 4
(27, 27)3pq − 4p − 4q + 5

Theorem 9

For every p, q ≥ 4 consider the graph of GGp,q. Then the fourth atom bond connectivity index ABC4(G) of Gp,q is given as

ABC4(Gp,q)=4789+417015+(2p+2q16)1810+463+(2p+2q12)13830+127035+(2p+2q16)2815+(2p+2q12)43560+(2pq7p7q+24)3016

Proof

Let G be the graph of Gp,q. Then as in Theorem 1, by using Table 5, equation (1) and the computations below, the result follows.

ABC4(Gp,q)=(8)6+926×9+(8)9+1029×10+(2p+2q16)10+10210×10+(8)9+1429×14+(2p+2q12)10+15210×15+(8)14+15214×15+(2p+2q16)15+15215×15+(2p+2q12)15+16215×16+(2pq7q7p+24)16+16216×16

After simplification, we obtained required result:

ABC4(Gp,q)=4789+417015+(2p+2q16)1810+463+(2p+2q12)13830+127035+(2p+2q16)2815+(2p+2q12)43560+(2pq7p7q+24)3016

Theorem 10

For every p, q ≥ 4 consider the graph of G ≅= Gp,q. Then the multiple atom bond connectivity index ABCM(G) of Gp,q is given as

ABCM(Gp,q)=21869+2879+(2p+2q16)7036+2499+(2p+2q12)678144+100236+(2p+2q16)382192+(2p+2q12)1338384+(2pq7p7q+24)510256

Proof

Let G be the graph of Gp,q. Then as in Theorem 2, by using Table 6, equation (2) and the computations below, the result follows.

ABCM(Gp,q)=(8)9+2429×24+(8)24+36224×36+(2p+2q16)36+36236×36+(8)24+144224×144+(2p+2q12)36+192236×192n+(8)144+1922144×192n+(2p+2q16)192+1922192×192n+(2p+2q12)192+2562192×256n+(2pq7q7p+24)256+2562256×256

After some calculation, we get:

ABCM(Gp,q)=21869+2879+(2p+2q16)7036+2499+(2p+2q12)678144+100236+(2p+2q16)382192+(2p+2q12)1338384+(2pq7p7q+24)510256

Theorem 11

For every p, q ≥ 4 consider the graph of GGp,q. Then the fifth geometric arithmetic index GA5 of Gp,q is given as

GA5(Gp,q)=1665+4810193p3q8+481423+(4p+4q24)65+1621029+(4p+4q24)12031+2pq.

Proof

Let G be the graph of Gp,q. Then as in Theorem 3, by using Table 5, equation (3) and the computations below, the result follows.

GA5(Gp,q)=(8)26×96+9+(8)29×109+10+(2p+2q16)210×1010+10+(8)29×149+14+(2p+2q12)210×1510+15+(8)214×1514+15+(2p+2q16)215×1515+15+(2p+2q12)215×1615+16+(2pq7p7q+24)216×1616+16.

Simplification provide our required result as follows:

GA5(Gp,q)=1665+4810193p3q8+481423+(4p+4q24)65+1621029+(4p+4q24)12031+2pq.

Theorem 12

For every p, q ≥ 4 consider the graph of GGp,q. Then the multiple geometric arithmetic index GAM of Gp,q is given as

GAM(Gp,q)=323263853p3q8+(66(4p+4q24))3133+3237+2pq.

Proof

Let G be the graph of Gp,q. Then as in Theorem 4, by using Table 6, equation (4) and the computations below, the result follows.

GAM(Gp,q)=(8)29×249+24+(8)224×3624+36+(2p+2q16)236×3636+36+(8)224×14424+144+(2p+2q12)236×19236+192+(8)2144×192144+192+(2p+2q16)2192×192192+192+(2p+2q12)2192×256192+256+(2pq7p7q+24)2256×256256+256.

After some calculation we obtained our required result:

GAM(Gp,q)=323263853p3q8+(66(4p+4q24))3133+3237+2pq.

6 Comparison and conclusion

In this paper, we have introduced the multiple atom bond connectivity index and multiple geometric arithmetic index. As their application we have computed these new indices for octagonal grid Opq hexagonal grid H(p, q) and square grid Gp,q. We then give comparisons of the results obtained by these indices with the ones obtained by other indices like the fourth atom bond connectivity index and the fifth geometric arithmetic index via their computation too for the octagonal grid, hexagonal grid and square grid graphs. Table 7, Table 8 and Table 9 show the comparisons between ABC4, ABCM, GA5 and GAM for Opq, H(p, q) and Gp,q, respectively.

Table 7

Comparison of ABC4, ABCM, GA5 and GAM for Opq.

[p, q]ABC4ABCMGA5GAM
[2,2]15.12313.26027.80815.073
[3,3]30.65724.76459.66458.308
[4,4]51.52639.474103.52101.54
[5,5]77.72857.388159.38156.78
[6,6]109.2678.506227.23224.01
[7,7]146.13102.83307.09303.24
[8,8]188.33130.36398.95394.49
[9,9]235.88161.09502.81497.72
[10,10]288.74195.04618.66612.95
Table 8

Comparison of ABC4, ABCM, GA5 and GAM for H(p, q).

[p, q]ABC4ABCMGA5GAM
[2,2]7.43758.753518.83218.154
[3,3]19.20115.32637.74736.650
[4,4]30.96323.562.66161.147
[5,5]45.39233.27693.57891.644
[6,6]62.48744.656130.50128.14
[7,7]82.25057.638173.41170.64
[8,8]104.6872.221222.34219.14
[9,9]129.7888.408277.25273.64
[10,10]157.54106.20338.15334.13
Table 9

Comparison of ABC4, ABCM, GA5 and GAM for Gp,q.

[p, q]ABC4ABCMGA5GAM
[4,4]16.4948.840239.54935.358
[5,5]23.92811.63459.46654.233
[6,6]32.73114.78183.38377.110
[7,7]42.90418.280111.30103.99
[8,8]54.44522.133143.21134.86
[9,9]67.35926.339179.13169.74
[10,10]81.63830.896219.05208.61

Acknowledgement

The authors are grateful to the anonymous referees for their valuable comments and suggestions that improved this paper. This research is supported by the Start-Up Research Grant 2016 of United Arab Emirates University (UAEU), Al Ain, United Arab Emirates via Grant No. G00002233 and UPAR Grant of UAEU via Grant No. G00002590.

References

[1] Siddiqui M.K., Imran M., Ahmad A., On zagreb indices, zagreb polynomials of some nanostar dendrimers, Appl. Math. Comput., 2016, 280, 132-139.10.1016/j.amc.2016.01.041Search in Google Scholar

[2] Wiener H., Influence of interatomic forces on para–n properties, J. Chem. Phys., 1947, 15, 766-767.10.1063/1.1746328Search in Google Scholar

[3] Randic M., On characterization of molecular branching, J. Amer. Chem. Soc., 1975, 97(23), 6609-6615.10.1021/ja00856a001Search in Google Scholar

[4] Furtula B., Graovac A., Vukicevic D., Atom–bond connectivity index of trees, Disc. Appl. Math., 2009, 157, 2828-2835.10.1016/j.dam.2009.03.004Search in Google Scholar

[5] Estrada E., Torres E., Rodriguez L., Gutman I., An atom-bond connectivity index: Modelling the enthalpy of formation of alkanes, Indian J. Chem., 1998, 37A, 849-855.Search in Google Scholar

[6] Ghorbani A., Hosseinzadeh M.A., Computing ABC4 index of nanostar dendrimers, Optoelectr. Adv. Mat. Rapid Comm., 2010, 4, 1419-1422.Search in Google Scholar

[7] Vukičević D., Furtula B., Topological index based on the ratios of geometrical and arithmetical means of end-vertex degrees of edges, J. Math. Chem., 2009, 46, 1369-1376.10.1007/s10910-009-9520-xSearch in Google Scholar

[8] Ghorbani A., Ghorbani M., Hosseinzadeh M.A., Computing fifth geometric–arithmetic index for nanostar dendrimers, J. Math. Nanosci., 2011, 1, 33-42.Search in Google Scholar

[9] Ahmad M.S., Nazeer W., Kang S.M., Imran M., Gao W., Calculating degree-based topological indices of dominating David derived networks, Open Phys., 2017, 15, 1015-1021.10.1515/phys-2017-0126Search in Google Scholar

[10] Liu J.B., Siddiqui M.K., Zahid M.A., Naeem M., Baig A.Q., Topological Properties of Crystallographic Structure of Molecules, Symmetry, 2018, 10, 1-20.10.3390/sym10070265Search in Google Scholar

[11] Shao Z., Siddiqui M.K., Muhammad M.H., Computing Zagreb Indices and Zagreb Polynomials for Symmetrical Nanotubes, Symmetry, 2018, 10(7), 1-20.10.3390/sym10070244Search in Google Scholar

[12] Gao W., Siddiqui M.K., Imran M., Jamil M.K., Farahani M.R., Forgotten topological index of chemical structure in drugs, Saudi Pharmac. J., 2016, 24, 258-264.10.1016/j.jsps.2016.04.012Search in Google Scholar PubMed PubMed Central

[13] Gao W., Siddiqui M.K., Molecular Descriptors of Nanotube, Oxide, Silicate, and Triangulene Networks, J. Chem., 2017, 6540754, 1-10.10.1155/2017/6540754Search in Google Scholar

[14] Gao W., Siddiqui M.K., Naeem M., Rehman N.A., Topological Characterization of Carbon Graphite and Crystal Cubic Carbon Structures, Molecules, 2017, 22(9), 1496-1507.10.3390/molecules22091496Search in Google Scholar

[15] Rostray D.H., The modeling of chemical phenomena using topological indices, J. Comp. Chem., 1987, 8, 470-480.10.1002/jcc.540080427Search in Google Scholar

[16] Guariglia E., Entropy and Fractal Antennas, Entropy., 2016, 18(3), 84.10.3390/e18030084Search in Google Scholar

[17] Guariglia E., Spectral Analysis of the Weierstrass-Mandelbrot Function, IEEE Conference Proceedings, In: Proceeding of the 2nd International Multidisciplinary Conference on Computer and Energy Science, Split, Croatia, 12-14, July, 2017.Search in Google Scholar

[18] Guariglia E., Fractional Derivative of the Riemann zeta function. In: Fractional Dynamics, Cattani C., Srivastava H., Yang X.J. (Eds.), De Gruyter, 2015, 357-368.10.1515/9783110472097-022Search in Google Scholar

[19] Shao Z., Wu P., Gao Y., Gutman I., Zhang X., On the maximum ABC index of graphs without pendent vertices, Appl. Math. Comput., 2017, 315, 298-312.10.1016/j.amc.2017.07.075Search in Google Scholar

[20] Shao Z., Wu P., Zhang X., Dimitrov, D., Liu, J., On the maximum ABC index of graphs with prescribed size and without pendent vertices, IEEE Access, 2018, 6, 27604-27616.10.1109/ACCESS.2018.2831910Search in Google Scholar

[21] Das K.C., Gutman I., Furtula B., Survey on geometric arithmetic indices of graphs, MATCH Commun. Math. Comput. Chem., 2011, 65, 595-644.Search in Google Scholar

[22] Gutman I., Ruscic B., Trinajstic N., Wilcox C.F., Graph theory and molecular orbitals, XII. Acyclic polyenes, J. Chem. Phys., 1975, 62, 3399-3405.10.1063/1.430994Search in Google Scholar

[23] Imran M., Siddiqui M.K., Naeem M., Iqbal M.A., On Topological Properties of Symmetric Chemical Structures, Symmetry., 2018, 10, 1-21.10.3390/sym10050173Search in Google Scholar

[24] Imran M., Ali M.A., Ahmad S., Siddiqui M.K., Baig A.Q., Topological Characterization of the Symmetrical Structure of Bismuth Tri-Iodide, Symmetry, 2018, 10(6), 1-20.10.3390/sym10060201Search in Google Scholar

[25] Gutman I., Trinajstc N., Graph theory and molecular orbitals., Total π-electron energy of alternant hydrocarbons, Chem. Phys. Lett.., 1972, 17, 535-538.10.1016/0009-2614(72)85099-1Search in Google Scholar

[26] Diudea M.V., Distance counting in tubes and tori: Wiener index and Hosoya polynomial, In: Nanostructures-NovelArchitecture, NOVA, New York, 2005, 203-242.Search in Google Scholar

[27] Stefu M., Diudea M.V., Wiener Index of C4C8 Nanotubes, MATCH Comm. Math. Comp. Chem., 2004, 50, 133-144.Search in Google Scholar

[28] Siddiqui M.K., Naeem M., Rahman N.A., Imran M., Computing topological indices of certain networks, J. Optoelctr. Adv. Material., 2016, 18(9), 884-892.Search in Google Scholar

Received: 2018-03-15
Accepted: 2018-07-15
Published Online: 2018-10-16

© 2018 Wei Gao et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Articles in the same Issue

  1. Regular Articles
  2. A modified Fermi-Walker derivative for inextensible flows of binormal spherical image
  3. Algebraic aspects of evolution partial differential equation arising in the study of constant elasticity of variance model from financial mathematics
  4. Three-dimensional atom localization via probe absorption in a cascade four-level atomic system
  5. Determination of the energy transitions and half-lives of Rubidium nuclei
  6. Three phase heat and mass transfer model for unsaturated soil freezing process: Part 1 - model development
  7. Three phase heat and mass transfer model for unsaturated soil freezing process: Part 2 - model validation
  8. Mathematical model for thermal and entropy analysis of thermal solar collectors by using Maxwell nanofluids with slip conditions, thermal radiation and variable thermal conductivity
  9. Constructing analytic solutions on the Tricomi equation
  10. Feynman diagrams and rooted maps
  11. New type of chaos synchronization in discrete-time systems: the F-M synchronization
  12. Unsteady flow of fractional Oldroyd-B fluids through rotating annulus
  13. A note on the uniqueness of 2D elastostatic problems formulated by different types of potential functions
  14. On the conservation laws and solutions of a (2+1) dimensional KdV-mKdV equation of mathematical physics
  15. Computational methods and traveling wave solutions for the fourth-order nonlinear Ablowitz-Kaup-Newell-Segur water wave dynamical equation via two methods and its applications
  16. Siewert solutions of transcendental equations, generalized Lambert functions and physical applications
  17. Numerical solution of mixed convection flow of an MHD Jeffery fluid over an exponentially stretching sheet in the presence of thermal radiation and chemical reaction
  18. A new three-dimensional chaotic flow with one stable equilibrium: dynamical properties and complexity analysis
  19. Dynamics of a dry-rebounding drop: observations, simulations, and modeling
  20. Modeling the initial mechanical response and yielding behavior of gelled crude oil
  21. Lie symmetry analysis and conservation laws for the time fractional simplified modified Kawahara equation
  22. Solitary wave solutions of two KdV-type equations
  23. Applying industrial tomography to control and optimization flow systems
  24. Reconstructing time series into a complex network to assess the evolution dynamics of the correlations among energy prices
  25. An optimal solution for software testing case generation based on particle swarm optimization
  26. Optimal system, nonlinear self-adjointness and conservation laws for generalized shallow water wave equation
  27. Alternative methods for solving nonlinear two-point boundary value problems
  28. Global model simulation of OH production in pulsed-DC atmospheric pressure helium-air plasma jets
  29. Experimental investigation on optical vortex tweezers for microbubble trapping
  30. Joint measurements of optical parameters by irradiance scintillation and angle-of-arrival fluctuations
  31. M-polynomials and topological indices of hex-derived networks
  32. Generalized convergence analysis of the fractional order systems
  33. Porous flow characteristics of solution-gas drive in tight oil reservoirs
  34. Complementary wave solutions for the long-short wave resonance model via the extended trial equation method and the generalized Kudryashov method
  35. A Note on Koide’s Doubly Special Parametrization of Quark Masses
  36. On right-angled spherical Artin monoid of type Dn
  37. Gas flow regimes judgement in nanoporous media by digital core analysis
  38. 4 + n-dimensional water and waves on four and eleven-dimensional manifolds
  39. Stabilization and Analytic Approximate Solutions of an Optimal Control Problem
  40. On the equations of electrodynamics in a flat or curved spacetime and a possible interaction energy
  41. New prediction method for transient productivity of fractured five-spot patterns in low permeability reservoirs at high water cut stages
  42. The collinear equilibrium points in the restricted three body problem with triaxial primaries
  43. Detection of the damage threshold of fused silica components and morphologies of repaired damage sites based on the beam deflection method
  44. On the bivariate spectral quasi-linearization method for solving the two-dimensional Bratu problem
  45. Ion acoustic quasi-soliton in an electron-positron-ion plasma with superthermal electrons and positrons
  46. Analysis of projectile motion in view of conformable derivative
  47. Computing multiple ABC index and multiple GA index of some grid graphs
  48. Terahertz pulse imaging: A novel denoising method by combing the ant colony algorithm with the compressive sensing
  49. Characteristics of microscopic pore-throat structure of tight oil reservoirs in Sichuan Basin measured by rate-controlled mercury injection
  50. An activity window model for social interaction structure on Twitter
  51. Transient thermal regime trough the constitutive matrix applied to asynchronous electrical machine using the cell method
  52. On the zagreb polynomials of benzenoid systems
  53. Integrability analysis of the partial differential equation describing the classical bond-pricing model of mathematical finance
  54. The Greek parameters of a continuous arithmetic Asian option pricing model via Laplace Adomian decomposition method
  55. Quantifying the global solar radiation received in Pietermaritzburg, KwaZulu-Natal to motivate the consumption of solar technologies
  56. Sturm-Liouville difference equations having Bessel and hydrogen atom potential type
  57. Study on the response characteristics of oil wells after deep profile control in low permeability fractured reservoirs
  58. Depiction and analysis of a modified theta shaped double negative metamaterial for satellite application
  59. An attempt to geometrize electromagnetism
  60. Structure of traveling wave solutions for some nonlinear models via modified mathematical method
  61. Thermo-convective instability in a rotating ferromagnetic fluid layer with temperature modulation
  62. Construction of new solitary wave solutions of generalized Zakharov-Kuznetsov-Benjamin-Bona-Mahony and simplified modified form of Camassa-Holm equations
  63. Effect of magnetic field and heat source on Upper-convected-maxwell fluid in a porous channel
  64. Physical cues of biomaterials guide stem cell fate of differentiation: The effect of elasticity of cell culture biomaterials
  65. Shooting method analysis in wire coating withdrawing from a bath of Oldroyd 8-constant fluid with temperature dependent viscosity
  66. Rank correlation between centrality metrics in complex networks: an empirical study
  67. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering
  68. Modeling of electric and heat processes in spot resistance welding of cross-wire steel bars
  69. Dynamic characteristics of triaxial active control magnetic bearing with asymmetric structure
  70. Design optimization of an axial-field eddy-current magnetic coupling based on magneto-thermal analytical model
  71. Thermal constitutive matrix applied to asynchronous electrical machine using the cell method
  72. Temperature distribution around thin electroconductive layers created on composite textile substrates
  73. Model of the multipolar engine with decreased cogging torque by asymmetrical distribution of the magnets
  74. Analysis of spatial thermal field in a magnetic bearing
  75. Use of the mathematical model of the ignition system to analyze the spark discharge, including the destruction of spark plug electrodes
  76. Assessment of short/long term electric field strength measurements for a pilot district
  77. Simulation study and experimental results for detection and classification of the transient capacitor inrush current using discrete wavelet transform and artificial intelligence
  78. Magnetic transmission gear finite element simulation with iron pole hysteresis
  79. Pulsed excitation terahertz tomography – multiparametric approach
  80. Low and high frequency model of three phase transformer by frequency response analysis measurement
  81. Multivariable polynomial fitting of controlled single-phase nonlinear load of input current total harmonic distortion
  82. Optimal design of a for middle-low-speed maglev trains
  83. Eddy current modeling in linear and nonlinear multifilamentary composite materials
  84. The visual attention saliency map for movie retrospection
  85. AC/DC current ratio in a current superimposition variable flux reluctance machine
  86. Influence of material uncertainties on the RLC parameters of wound inductors modeled using the finite element method
  87. Cogging force reduction in linear tubular flux switching permanent-magnet machines
  88. Modeling hysteresis curves of La(FeCoSi)13 compound near the transition point with the GRUCAD model
  89. Electro-magneto-hydrodynamic lubrication
  90. 3-D Electromagnetic field analysis of wireless power transfer system using K computer
  91. Simplified simulation technique of rotating, induction heated, calender rolls for study of temperature field control
  92. Design, fabrication and testing of electroadhesive interdigital electrodes
  93. A method to reduce partial discharges in motor windings fed by PWM inverter
  94. Reluctance network lumped mechanical & thermal models for the modeling and predesign of concentrated flux synchronous machine
  95. Special Issue Applications of Nonlinear Dynamics
  96. Study on dynamic characteristics of silo-stock-foundation interaction system under seismic load
  97. Microblog topic evolution computing based on LDA algorithm
  98. Modeling the creep damage effect on the creep crack growth behavior of rotor steel
  99. Neighborhood condition for all fractional (g, f, n′, m)-critical deleted graphs
  100. Chinese open information extraction based on DBMCSS in the field of national information resources
  101. 10.1515/phys-2018-0079
  102. CPW-fed circularly-polarized antenna array with high front-to-back ratio and low-profile
  103. Intelligent Monitoring Network Construction based on the utilization of the Internet of things (IoT) in the Metallurgical Coking Process
  104. Temperature detection technology of power equipment based on Fiber Bragg Grating
  105. Research on a rotational speed control strategy of the mandrel in a rotary steering system
  106. Dynamic load balancing algorithm for large data flow in distributed complex networks
  107. Super-structured photonic crystal fiber Bragg grating biosensor image model based on sparse matrix
  108. Fractal-based techniques for physiological time series: An updated approach
  109. Analysis of the Imaging Characteristics of the KB and KBA X-ray Microscopes at Non-coaxial Grazing Incidence
  110. Application of modified culture Kalman filter in bearing fault diagnosis
  111. Exact solutions and conservation laws for the modified equal width-Burgers equation
  112. On topological properties of block shift and hierarchical hypercube networks
  113. Elastic properties and plane acoustic velocity of cubic Sr2CaMoO6 and Sr2CaWO6 from first-principles calculations
  114. A note on the transmission feasibility problem in networks
  115. Ontology learning algorithm using weak functions
  116. Diagnosis of the power frequency vacuum arc shape based on 2D-PIV
  117. Parametric simulation analysis and reliability of escalator truss
  118. A new algorithm for real economy benefit evaluation based on big data analysis
  119. Synergy analysis of agricultural economic cycle fluctuation based on ant colony algorithm
  120. Multi-level encryption algorithm for user-related information across social networks
  121. Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
  122. Fast recognition method of moving video images based on BP neural networks
  123. Compressed sensing image restoration algorithm based on improved SURF operator
  124. Design of load optimal control algorithm for smart grid based on demand response in different scenarios
  125. Face recognition method based on GA-BP neural network algorithm
  126. Optimal path selection algorithm for mobile beacons in sensor network under non-dense distribution
  127. Localization and recognition algorithm for fuzzy anomaly data in big data networks
  128. Urban road traffic flow control under incidental congestion as a function of accident duration
  129. Optimization design of reconfiguration algorithm for high voltage power distribution network based on ant colony algorithm
  130. Feasibility simulation of aseismic structure design for long-span bridges
  131. Construction of renewable energy supply chain model based on LCA
  132. The tribological properties study of carbon fabric/ epoxy composites reinforced by nano-TiO2 and MWNTs
  133. A text-Image feature mapping algorithm based on transfer learning
  134. Fast recognition algorithm for static traffic sign information
  135. Topical Issue: Clean Energy: Materials, Processes and Energy Generation
  136. An investigation of the melting process of RT-35 filled circular thermal energy storage system
  137. Numerical analysis on the dynamic response of a plate-and-frame membrane humidifier for PEMFC vehicles under various operating conditions
  138. Energy converting layers for thin-film flexible photovoltaic structures
  139. Effect of convection heat transfer on thermal energy storage unit
Downloaded on 8.12.2025 from https://www.degruyterbrill.com/document/doi/10.1515/phys-2018-0077/html
Scroll to top button