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Master's Dissertation
DOI
https://doi.org/10.11606/D.45.2008.tde-07082008-105246
Document
Author
Full name
Cristiane Maria Sato
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2008
Supervisor
Committee
Kohayakawa, Yoshiharu (President)
Lemos, Manoel José Machado Soares
Mandel, Arnaldo
Title in Portuguese
Homomorfismos de grafos
Keywords in Portuguese
convergência
grafos
homomorfismos
invariante de grafos
matrizes de conexão
pseudo-aleatoriedade
sequências de grafos
Abstract in Portuguese
Homomorfismos de grafos são funções do conjunto de vértices de um grafo no conjunto de vértices de outro grafo que preservam adjacências. O estudo de homomorfismos de grafos é bastante abrangente, existindo muitas linhas de pesquisa sobre esse tópico. Nesta dissertação, apresentaremos resultados sobre homomorfismos de grafos relacionados a pseudo-aleatoriedade, convergência de seqüência de grafos e matrizes de conexão de invariantes de grafos. Esta linha tem se mostrado muito rica, não apenas pelos seus resultados, como também pelas técnicas utilizadas nas demonstrações. Em especial, destacamos a diversidade das ferramentas matemáticas que são usadas, que incluem resultados clássicos de álgebra, probabilidade e análise.
Title in English
Graph Homomorphisms
Keywords in English
connection matrices
convergence
graph homomorphisms
graph parameters
graph sequences
graphs
quasirandomness
Abstract in English
Graph homomorphisms are functions from the vertex set of a graph to the vertex set of another graph that preserve adjacencies. The study of graph homomorphisms is very broad, and there are several lines of research about this topic. In this dissertation, we present results about graph homomorphisms related to convergence of graph sequences and connection matrices of graph parameters. This line of research has been proved to be very rich, not only for its results, but also for the proof techniques. In particular, we highlight the diversity of mathematical tools used, including classical results from Algebra, Probability and Analysis.
 
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cristianesato.pdf (681.76 Kbytes)
Publishing Date
2008-09-01
 
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