Predicting the Number of Hexagonalsystems with 24 and 25 Hexagons
نویسندگان
چکیده
We predict the number of hexagonal systems consisting of 24 and 25 hexagons to be H 24 = 122237774262384 and H 25 = 606259305418149, with 6 and 5 signiicant digits, respectively. Further estimates for H n up to n = 31 are also given. Informally speaking, a hexagonal system can be viewed as a connected arrangement of hexagonal cells packed in the same way as the typical honeycomb arrangement in a beehive. More formally, it is a nite connected plane graph with no cut-vertices, in which all interior regions are mutually congruent regular hexagons 1]. Hexagonal systems have from time to time attracted the attention of mathematicians (and were named \hexagonal animals", \honeycomb systems", \polyhexes", etc.), in connection with statistical physics and applications to lattice gas models 2, 3, 4]. But the main interest in them comes from chemistry: hexagonal systems are the natural graph representations of benzenoid hydrocarbons , whence the names \benzenoid graphs", \benzenoid systems", and \fusenes" used in the chemical literature. An enormous literature exists on various chemical applications of hexagonal systems. We refer to 5, 6] for details and references. One of the classical problems in the theory of hexagonal systems is their enumeration. In what follows, the number of non-isomorphic hexagonal systems consisting of n hexagons is denoted by H n , where \non-isomorphic" means viewed up to translations, rotations, and symmetries. This in turn is equal to the number of n-cyclic benzenoid hydrocarbons. The rst few values of H n are given in Table 1. The enumeration of hexagonal systems according to area stands as one of the most challenging unsolved problems of combinatorial theory (cf. Section 10.8.5 in 7]). In spite of numerous attempts, no one was successful in applying PP olya's theory 7, 8, 9] or any other technique of combinatorics to nd H n or, at least, in establishing the asymptotic behavior n 1 2 3 4 5 6 H n
منابع مشابه
Hosoya polynomials of random benzenoid chains
Let $G$ be a molecular graph with vertex set $V(G)$, $d_G(u, v)$ the topological distance between vertices $u$ and $v$ in $G$. The Hosoya polynomial $H(G, x)$ of $G$ is a polynomial $sumlimits_{{u, v}subseteq V(G)}x^{d_G(u, v)}$ in variable $x$. In this paper, we obtain an explicit analytical expression for the expected value of the Hosoya polynomial of a random benzenoid chain with $n$ hexagon...
متن کاملPredicting CpG Islands and Their Relationship with Genomic Feature in Cattle by Hidden Markov Model Algorithm
Cattle supply an important source of nutrition for humans in the world. CpG islands (CGIs) are very important and useful, as they carry functionally relevant epigenetic loci for whole genome studies. As a matter of fact, there have been no formal analyses of CGIs at the DNA sequence level in cattle genomes and therefore this study was carried out to fill the gap. We used hidden markov model alg...
متن کاملPredicting the Prevalence of COVID-19 and its Mortality Rate in Iran Using Lyapunov Exponent
Background: COVID-19 was first reported in late December 2019 in Wuhan, China, and spread rapidly throughout the world including Iran. Objective The purpose of this paper is to predict the prevalence of coronavirus and the number of confirmed cases and deaths in Iran based on the theory of chaos and measuring the Lyapunov exponent. Methods: In this analytical study, the number of confirmed ca...
متن کاملThe Role of Increased Uric Acid in Predicting Pre-eclampsia at The Gestational Age of 24-28 Weeks
Abstract Background and objectives: Despite prenatal care, pre-eclampsia is still one of the most important causes of maternal and fetal mortality. There is no screening test for pre-eclampsia to be reliable and economical. One of the most accessible and easiest screening tests is blood uric acid measurement. The goal of this study is to assess the level of uric acid in high risk pregnant women...
متن کاملP22: The Role of Religious Coping in Predicting Post-Traumatic Growth in Patients with Breast Cancer
لطفاً به چکیده انگلیسی مراجعه شود.
متن کامل