Comparing the excepted values of atom-bond connectivity and geometric-arithmetic indices in random spiro chains
Shouliu Wei1, Xiaoling Ke1, Guoliang Hao2
11Department of Mathematics, Minjiang University, Fuzhou, P.R. China.
Summary
This study derives formulas for atom-bond connectivity (ABC) and geometric-arithmetic (GA) indices in random spiro chains. It compares their expected and average values for these chemical structures.
Area of Science:
- Chemical graph theory
- Computational chemistry
- Structure-property relationships
Background:
- The atom-bond connectivity (ABC) index and geometric-arithmetic (GA) index are established topological indices.
- These indices are valuable in quantitative structure-property relationship (QSPR) and quantitative structure-activity relationship (QSAR) studies.
- Spiro chains represent a class of unbranched polycyclic aromatic hydrocarbons.
Purpose of the Study:
- To derive explicit formulas for the expected values of the ABC and GA indices in random spiro chains.
- To calculate the average values of these indices for spiro chains with n hexagons.
- To compare the expected and average values of the ABC and GA indices within this class of chemical structures.
Main Methods:
- Utilizing graph theory principles to analyze spiro chain structures.
- Deriving mathematical formulas for topological indices based on graph properties.
- Statistical analysis to compute expected and average values.
Main Results:
- Explicit formulas for the expected values of ABC and GA indices in random spiro chains were obtained.
- The average values of ABC and GA indices for spiro chains with n hexagons were presented.
- A comparative analysis of the expected and average values of these indices was performed.
Conclusions:
- The derived formulas provide a basis for understanding the behavior of ABC and GA indices in spiro chains.
- This research contributes to the application of topological indices in predicting properties of polycyclic aromatic hydrocarbons.
- The findings facilitate further investigations into the relationship between molecular structure and chemical properties.
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