THE EIGEN-COMPLETE DIFFERENCE RATIO OF CLASSES OF GRAPHS- DOMINATION, ASYMPTOTES AND AREA
Journal Title: JOURNAL OF ADVANCES IN MATHEMATICS - Year 2015, Vol 10, Issue 9
Abstract
The energy of a graph is related to the sum of π -electron energy in a molecule represented by a molecular graph, and originated by the HMO (Hückel molecular orbital) theory. Advances to this theory have taken place which includes the difference of the energy of graphs and the energy formation difference between a graph and its decomposable parts. Although the complete graph does not have the highest energy of all graphs, it is significant in terms of its easily accessible graph theoretical properties, and has a high level of connectivity and robustness, for example. In this paper we introduce a ratio, the eigen-complete difference ratio, involving the difference in energy between the complete graph and any other connected graph G, which allows for the investigation of the effect of energy of G with respect to the complete graph when a large number of vertices are involved. This is referred to as the eigen-complete difference domination effect. This domination effect is greatest negatively (positively), for a strongly regular graph (star graphs with rays of length one), respectively, and zero for the lollipop graph. When this ratio is a function f(n), of the order of a graph, we attach the average degree of G to the Riemann integral to investigate the eigen-complete difference area aspect of classes of graphs. We applied these eigen-complete aspects to complements of classes of graphs.
Authors and Affiliations
paul august winter, samson Ogagoghene ojako
STABILITY OF TREDECIC FUNCTIONAL EQUATION IN MATRIX NORMED SPACES
In this current work, we dene and nd the general solution of the tredecic functional equation. We also investigate and establish the generalized Ulam-Hyers stability of this functional equation in matrix normed spaces by...
Markov Stochastic Processes in Biology and Mathematics -- the Same, and yet Different
Virtually every biological model utilising a random number generator is a Markov stochastic process. Numerical simulations of such processes are performed using stochastic or intensity matrices or kernels. Biologists, ho...
Distributions of Stellar Systems Using Mathematica With Applications to Cataclysmic Variables and Planetary Nebulae
In this paper, Meisel's(2013) algorithm for the distribution of galaxies using Mathematica was used for the distributions of Cataclysmic Variables(CV) and Planetary Nebulae(PNe) . Data manipulationsare illust...
Certain Subclass of Univalent Functions Involving Fractional Q-Calculus Operator
The main object of the present paper is to introduce certain subclass of univalent function associated with the concept of differential subordination. We studied some geometric properties like coefficient inequality and...
Spectacular Exponents: A semi modular Approach to Fast Exponentiation
This paper introduces a computational scheme for calculating the exponential bw where b and w are positive integers. This two-step method is based on elementary number theory that is used routinely in this and simil...