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dc.contributor.authorBehague, Natalie C.
dc.date.accessioned2020-11-16T15:42:46Z
dc.date.available2020-11-16T15:42:46Z
dc.date.issued2020
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/68332
dc.descriptionPhD Thesisen_US
dc.description.abstractThis thesis encompasses several problems in extremal and probabilistic combinatorics. Chapter 1. Tuza's famous conjecture on the saturation number states that for r-uniform hypergraphs F the value sat(F; n)=nr􀀀1 converges. I answer a question of Pikhurko concerning the asymptotics of the saturation number for families of hypergraphs, proving in particular that sat(F; n)=nr􀀀1 need not converge if F is a family of r-uniform hypergraphs. Chapter 2. Cern y's conjecture on the length of the shortest reset word of a synchronizing automaton is arguably the most long-standing open problem in the theory of nite automata. We consider the minimal length of a word that resets some k-tuple. We prove that for general automata if this is nite then it is 􀀀 nk􀀀1 . For synchronizing automata we improve the upper bound on the minimal length of a word that resets some triple. Chapter 3. The existence of perfect 1-factorizations has been studied for various families of graphs, with perhaps the most famous open problem in the area being Kotzig's conjecture which states that even-order complete graphs have a perfect 1-factorization. In my work I focus on another well-studied family of graphs: the hypercubes. I answer almost fully the question of how close (in some particular sense) to perfect a 1-factorization of the hypercube can be. Chapter 4. The k-nearest neighbour random geometric graph model puts vertices randomly in a d-dimensional box and joins each vertex to its k nearest neighbours. I nd signi cantly improved upper and lower bounds on the threshold for connectivity for the k-nearest neighbour graph in high dimensions. iiien_US
dc.language.isoenen_US
dc.publisherQueen Mary University of Londonen_US
dc.titleTopics in Extremal and Probabilistic Combinatorics.en_US
dc.typeThesisen_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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    Theses Awarded by Queen Mary University of London

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