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On the zagreb polynomials of benzenoid systems

  • Young Chel Kwun , Manzoor Ahmad Zahid , Waqas Nazeer , Ashaq Ali , Maqbool Ahmad and Shin Min Kang EMAIL logo
Published/Copyright: November 30, 2018

Abstract

Topological indices play significant role in determining properties of chemical compound. Algebraic polynomials help to compute topological indices of studied chemical compounds. Benzenoid systems are used mainly as an intermediate to make other chemicals. In this report we aim to compute Zagreb polynomials of zigzag, rhombic, triangular, hourglass and jagged-rectangle benzenoid systems.

1 Introduction

Chemical reaction network theory deals with an attempt to model the behavior of real world chemical systems. From the very beginning of its foundation, it is crucial for research community; especially due to its importance in two branches i.e. biochemistry and theoretical chemistry. It also has a significant place in pure mathematics particularly due to its mathematical structures.

Cheminformatics is an upcoming and progressive area that deals with the relationships of quantitative structure activity (QSAR), structure property (QSPR) and also predicts the biochemical activities and properties of chemical compounds (see [1, 2]). In these studies, for the prediction of bioactivity of the chemical compounds, some physico-chemical properties and topological indices are used [3, 4].

Mathematical chemistry is a branch, which discusses the chemical structures with the aid of mathematical tools. Molecular graph is a simple graph in chemical graph theory. Such a graph consists of atoms and chemical bonds, which are represented by vertices and edges, respectively. For the connection of vertex set V(G) and edge set E(G) of a graph, there must be an existence of linking between any pair of vertices in G. The distance between two vertices u and v is represented as d(u,v) and it is the shortest length between u and v in graph G. The degree of vertex is basically the number of vertices of G, adjacent to given vertex v and will be represented by d(v).

Many algebraic polynomials have fruitful exercises in chemistry such as Hosoya polynomial, which helps to compute some important distance based topological indices. Degree based topological indices are determined from M-polynomial, which was introduced in 2015. This polynomial has been on the basic areas of interest in computational aspects of substances. Many topological indices can be calculated by using M-polynomial [5, 8]. The topological index of a molecule can be used to quantify the molecular structure and its branches design in many ways. To be simple, the topological index can be considered as a function that assigns each molecular structure to real number [9, 10]. Boiling point, heat of evaporation, heat of formation, chromatographic retention times, surface tension, vapor pressure, etc. can be predicted by using topological indices. The first and the second Zagreb indices are degree based graph invariants, which have been studied extensively since the 1970’s. In 1998, Bollobás and Erdős introduced the general Randić index, which is the generalization of Randić index and has been widely studied by both mathematicians and theoretical chemists. Another variant of Randić index is the harmonic index and its usefulness for computing the heatof formation of alkanes [11, 12]. The graphs considered in this paper are simply connected.

In 1972, the quantities M1 and M2 were found to occur within certain approximate expressions for the total π-electron energy [13]. In 1975, these graph invariants were proposed to be the measures of branching of the carbonatom skeleton [14]. The name “Zagreb index” (or more precisely, “Zagreb group index”) seems to be used in the review article for the first time [15]. For details of the mathematical theory and chemical applications of the Zagreb indices, see surveys [16, 17, 18, 19] and papers [20, 21, 22, 23, 24, 25, 26, 27, 28].

M1(G)=uvE(G)(du+dv)

and

M2(G)=uvE(G)(du×dv).

Considering the Zagreb indices, Fath-Tabar [22] defined the first and the second Zagreb polynomials as

M1(G,x)=uvE(G)xdu+dv

and

M2(G,x)=uvE(G)xdudv.

The properties of the first and the second Zagreb polynomials for some chemical structures have been studied in the literature [29, 30].

The third Zagreb index is defined as:

M3(G)=uvE(G)dudv.

This graph invariant is also known as irregularity of G, see Ref. [31, 32, 33].

The third Zagreb polynomial is defined as:

M3(G,x)=uvE(G)xdudv.

In the year 2016 [34], following Zagreb type polynomials were defined

M4(G,x)=uvE(G)xdu(du+dv)
M5(G,x)=uvE(G)xdv(du+dv)
Ma,b(G,x)=uvE(G)xadu+bdv
Ma,b(G,x)=uvE(G)xdu+adv+b.

For more details about topological indices and polynomials, we refer to Ref. [35, 36, 37, 38, 39, 40, 41, 42, 43, 44].

Benzenoid hydrocarbons play a vital role in our environment, in the food and chemical industries. Benzenoid molecular graphs are systems with deleted hydrogens. It is a connected geometric figure obtained by arranging congruent regular hexagons in a plane, so that two hexagons are either disjoint or have a common edge.

This figure divides the plane into one infinite (external) region and a number of finite (internal) regions. All internal regions must be regular hexagons. Benzenoid systems are of considerable importance in theoretical chemistry, because they are the natural graph representation of benzenoid hydrocarbons. A vertex of a hexagonal system belongs to three hexagons, at most. A vertex shared by three hexagons is called an internal vertex [45].

In this paper we study five benzenoid systems. These are zigzag, rhombic, triangular, hourglass and jagged-rectangle benzenoid systems.

2 Main results

2.1 Zagreb polynomials of triangular benzenoid system

In this section, we present our computational results. In terms of chemical graph theory and mathematical chemistry, we associate a graph with the molecular structure, where vertices correspond to atoms and edges to bonds. Triangular benzenoid system is shown in Figure 1. In the following theorem we compute M-polynomial of triangular benzenoid system.

Figure 1 Triangular benzenoid.
Figure 1

Triangular benzenoid.

Theorem 1

Let Tp be a triangular benzenoid systemwhere p shows the number of hexagons in the base graph and total number of hexagons in Tp is 12p(p+1).Then

1.M3(Tp,x)=6+32pp1+6p1x.2.M4(Tp,x)=6x8+6p1x10+32pp1x18.3.M5(Tp,x)=6x8+6p1x15+32pp1x18.4.Ma,b(Tp,x)=6px2a+6x2b+32pp1x3a+3p16+32px3b.5.Ma,b(Tp,x)=6x2+a2+b+6p1x2+a3+b+32pp1x3+a3+b.

Proof. Let Tp be a triangular benzenoid system as shown in Figure 1. Then we have,

VTp=p2+4p+1.ETp=32pp+3.

The edge set of Tp has following three partitions,

E2,2=e=uvETp|dTpu=2,dTpv=2,E2,3=e=uvETp|dTpu=2,dTpv=3,E3,3=e=uvETp|dTpu=3,dTpv=3,

Now

E2,2=6,E2,3=6p1,

And

E3,3=32pp1,

Now

1.M3(Tp,x)=uvETpxdudv=uvE{2,2}Tpx22+uvE2,3Tpx32+uvE3,3Tpx33=E2,2Tp+E2,3Tpx+E3,3Tp=6+6p1x+32pp1=6p1x+32p232p+6.2.M4(Tp,x)=uvETpxdudu+dv=uvE{2,2}Tpx2(2+2)+uvE2,3Tpx2(2+3)+uvE3,3Tpx3(3+3)=E2,2Tpx8+E2,3Tpx10+E3,3Tpx18=6x8+6p1x10+32pp1x18.3.M5(Tp,x)=uvETpxdvdu+dv=uvE{2,2}Tpx2(2+2)+uvE2,3Tpx3(2+3)+uvE3,3Tpx3(3+3)=E2,2Tpx8+E2,3Tpx15+E3,3Tpx18=6x8+6p1x15+32pp1x18.4.Ma,b(Tp,x)=uvETpxadu+bdv=uvE2,2Tpx2a+2b+uvE2,3Tpx2a+3b+uvE3,3Tpx3a+3b=E2,2Tpx2a+2b+E2,3Tpx2a+3b+E3,3Tpx3a+3b=6x2a+2b+6p1x2a+3b+32pp1x3a+3b=6px2a+6x2b+32pp1x3a+p16+32px3b.5.Ma,b(Tp,x)=uvETpxdu+adv+b=uvE{2,2}Tpx2+a2+b+uvE2,3Tpx2+a3+b+uvE3,3Tpx3+a3+b=E2,2Tpx2+a2+b+E2,3Tpx2+a3+b+E3,3Tpx3+a3+b=6x2+a2+b+6p1x2+a3+b+32pp1x3+a3+b.

3 Zigzag benzenoid system

Zigzag benzenoid system is denoted by Zn, where n is the number of rows in graph of Zn and each row consists of two hexagons as shown in Figure 2.

Figure 2 Graph of zigzag benzenoid system Zn.
Figure 2

Graph of zigzag benzenoid system Zn.

Zigzag benzenoid system has the following three partitions,

E2,2=e=uvEZn|dZnu=2,dZnv=2,E2,3=e=uvEZn|dZnu=2,dZnv=3,E3,3=e=uvEZn|dZnu=3,dZnv=3,

Now

E2,2Zn=2n+4,E2,3Zn=4n,

And |E{3,3} (Zn)|= 4n − 3,

So we have following results.

Theorem 2

Consider a zigzag benzenoid system Zn, then

1.M3(Zn,x)=4nx+6n+1.2.M4(Zn,x)=2n+2x8+4nx10+4n3x18.3.M5(Zn,x)=2n+2x8+4nx15+4n3x18.4.Ma,b(Zn,x)=23n+2x2a+2n+2x2b+4n3x3a+8n3x3b.5.Ma,b(Zn,x)=2n+2x2+a2+b+4nx2+a3+b+4n3x3+a3+b.

4 Rhombic benzenoid aystem

Take another benzenoid system in which hexagons are arranged to form a rhombic shape Rn, with n rows of n hexagons as given in Figure 3. Then, it has 2n(n + 2) vertices and 3n2 + 4n − 1 edges.

Figure 3 Graph of rhombic benzenoid system with n rows of n hexagons.
Figure 3

Graph of rhombic benzenoid system with n rows of n hexagons.

A graph of Rn has following three partitions,

E2,2=e=uvERn|dRnu=2,dRnv=2,E2,3=e=uvERn|dRnu=2,dRnv=3,E3,3=e=uvERn|dRnu=3,dRnv=3,

Now

E2,2Rn=6,E2,3Rn=8n1,

And

|E{3,3} (Rn)| = 3n2 − 4n + 1.

The following theorem follows immediately.

Theorem 3

Consider the rhombic bezenoid system Rn, then

1.M3(Rn,x)=8n1x+3n24n+7.2.M4(Rn,x)=6x8+8n1x10+3n24n+1x18.3.M5(Rn,x)=6x8+8n1x15+43n24n+1x18.4.Ma,b(Rn,x)=24n1x2a+6x2b+3n24n+1x3a+3n24n+7x3b.5.Ma,b(Rn,x)=6x2+a2+b+8n1x2+a3+b+3n24n+1x3+a3+b.

5 Hourglass benzenoid system

Let X p denotes the benzenoid hourglass,which is obtained from two copies of a triangular benzenoid Tp by overlapping their external hexagons. Then we have,

VXp=2p2+4p2EXp=3p2+9p4

The edge set of Xp has following three partitions,

E2,2=e=uvEXp|dXpu=2,dXpv=2,E2,3=e=uvEXp|dXpu=2,dXpv=3,

And

E3,3=e=uvEXp|dXpu=3,dXpv=3.

Now

E2,2Xp=8E2,3Xp=43p4

And

E3,3Xp=3p23p+4
Figure 4 Benzenoid hourglass system.
Figure 4

Benzenoid hourglass system.

Theorem 4

Consider the bezenoid hourglass X p, then

1.M3(Xp,x)=43p4x+3p2p+4.2.M4(Xp,x)=8x8+43p4x10+3p23p+4x18.3.M5(Xp,x)=8x8+43p4x15+3p23p+4x18.4.Ma,b(Xp,x)=43p2x2a+8x2b+3p23p+4x3a+3p2+3p4x3b.5.Ma,b(Xp,x)=8x2+a2+b+43p4x2+a3+b+3p23p+4x3+a3+b.

6 Benzenoid jagged-rectangle

Now we study the benzenoid jagged-rectangle shown in Figure 5.

Figure 5 Benzenoid jagged-rectangle system.
Figure 5

Benzenoid jagged-rectangle system.

Let Bp,q denotes a benzenoid system jagged-rectangle for all p, q ∈ N − 1. A Benzenoid jagged-rectangle forms a rectangle and the number of benzenoids called in each chain alternate p and p-1. The edge set of Bp,q has following three partitions,

E2,2=e=uvEBp,q|dBp,qu=2,dBp,qv=2,E2,3=e=uvEBp,q|dBp,qu=2,dBp,qv=3,E3,3=e=uvEBp,q|dBp,qu=3,dBp,qv=3,

Now

E2,2Bp,q=2q+4,E2,3Bp,q=4p+4q4

And

E3,3Bp,q=6pq+p5q4.

Hence we have the following theorem.

Theorem 5

Consider the bezenoid jagged-rectangle Bp,q, then

1.M3(Bp,q,x)=4p+q1x+6pq+p3q.2.M4(Bp,q,x)=2q+2x8+4p+q1x10+6pq+p5q4x18.3.M5(Bp,q,x)=2q+2x8+4p+q1x15+6pq+p5q4x18.4.Ma,b(Bp,q,x)=22p+3qx2a+2q+2x2b+4p+q1x3a+36pq+5pq8x3b.5.Ma,b(Bp,q,x)=2q+2x2+a2+b+4p+q1x2+a3+b+6pq+p5q4x3+a3+b.

7 Conclusion

Topological indices are numbers associated with graphs of chemical compound and help to predict many properties of understudy chemical compound. Polynomials associated with the graph of chemical compound help to compute topological indices, for example Hosaya polynomial help to compute Wiener index, Hyper Wiener index etc. M-polynomial can be used to compute Zagreb indices, Randić index, symmetric division index, harmonic index, inverse sum index, augmented Zagreb index. Similarly first, second and third Zagreb polynomial help to compute first, second and third Zagreb index. These polynomials also help to understand molecular structure of understudy chemical compound.

  1. Completing Interests: Authors do not have any competing interest.

Acknowledgement

This research is supported by the funds of Dong A University.

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Received: 2018-05-26
Accepted: 2018-08-28
Published Online: 2018-11-30

© 2018 Y. ChelKwun et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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  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
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  97. Microblog topic evolution computing based on LDA algorithm
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  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
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  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
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