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Orientable Embedding Genus Distribution For Three Types Of Letter-graphs

Posted on:2009-06-13Degree:MasterType:Thesis
Country:ChinaCandidate:S Z GongFull Text:PDF
GTID:2120360242490050Subject:Operational Research and Cybernetics
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This thesis is to discuss genus distribution of embeddings for connected graphs. It belongs to the counting problem of the graph embedding theory. It is used to solve the range of the genus of the embedded surfaces, and the number of distinct embeddings for a graph. The genus distribution can be expressed by genus polynomial, that is f(x)=a0+a1x + a2x2 +…+ anxn.Here n denotes the maximum genus of the embedded surface, and ai is the number of the distinct embeddings for genus i.Embedding mentioned here means orientable embedding; Surface is 2-dimensimal compact manifold without boundary; " Distinct" means being not homeomorphic.Particularly, this thesis mainly solve the genus distribution problem of three types of letter-graphs called Vn(n= 0,1,2,…),Dn(n = 0,1,2,…)/On(n = 0,1,2,…) and Hn(n = 0,1,2,…).Each type has similar shape and the numbers of their vertexes and edges compose arithmetic series. The basic theory of my thesis is joint tree model for embedding which was created by Liu in 2003;The method used here is called surface generating method. In order to get the genus distribution of the graph considered, we have to do work as follows (Here give Vn(n=0,1, 2,…) for example):1) Calculate the range of the orientable surface's genus that Vn can be embedded;2) Get the joint tree model for Vn;3) Generate the surfaces that Vn can be embedded from that of Vn-1, then sort them by topological equivalence between the surfaces themselves;4) Deduce the genus of the sorted surfaces from which they are generated by the conclusion of 3) and get the relationship of the genus between the orientable surfaces that Vn-2,Vn-1,Vn can be embedded respectively;5) Get the genus polynomial for Vn by the relationship of the genus that can be known from 4).
Keywords/Search Tags:topological surface, orientable embedding, genus distribution, Joint tree, surface generating method, letter-graph
PDF Full Text Request
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