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Master's Dissertation
DOI
https://doi.org/10.11606/D.45.1999.tde-20210729-023709
Document
Author
Full name
Alexandre Scalzitti
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 1999
Supervisor
Title in Portuguese
Convergência na teoria de grafos aleatórios
Keywords in Portuguese
Teoria Dos Grafos
Abstract in Portuguese
O objeto de estudo desta dissertação é o modelo 'G IND.n,p(n)' de grafos aleatórios. Estudamos a probabilidade de 'G IND.n,p(n)' satisfazer propriedades que podem ser expressas numa teoria de primeira ordem de grafos. O estudo desta probabilidadeé feito em termos assintóticos, ou seja, quando o número de vértices n de 'G IND.n,p(n)' tende ao infinito. Particularmente, estamos interessados no caso em que a probabilidade acima mencionada converge para 0 ou para 1 (lei zero-um). Como ferramenta no estudo dessa probabilidade, utilizamos o Jogo de Ehrenfeucht. Apresentamos dois importantes resultados na área: o de Glebskii-Fagin e de Shelah-Spencer
Title in English
not available
Abstract in English
The object of study in this dissertation is the model 'G IND.n,p(n)' for random graphs. We study the probability of 'G IND.n,p(n)' satisfying graph properties which can be expressed in a first-order theory. The study of this probability is donein asymptotic terms, that is, when the number of vertices n of 'G IND.n,p(n)' tends to infinity. In particular, we are interested in the case that this probability converges to 0 or 1 (zero-one laws). As a tool in the study of this probability,we use the Ehrenfeucht Game and Theorem. We present two major results in the field: the Glebskii-Fagin Theorem as well as the Shelah-Spencer Theorem
 
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Publishing Date
2021-07-29
 
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