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Limit distribution for the existence of Hamiltonian cycles in a random graph

✍ Scribed by János Komlós; Endre Szemerédi


Book ID
108113655
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
172 KB
Volume
306
Category
Article
ISSN
0012-365X

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P&a proved that a random graph with clt log n edges is Hamiltonian with probability tending to 1 if c >3. Korsunov improved this by showing that, if Gn is a random graph with \*n log n + in log log n + f(n)n edges and f(n) --\*m, then G" is Hamiltonian, with probability tending to 1. We shall prove

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## Abstract We consider the problem of the minimum number of Hamiltonian cycles that could be present in a Hamiltonian maximal planar graph on __p__ vertices. In particular, we construct a __p__‐vertex maximal planar graph containing exactly four Hamiltonian cycles for every __p__ ≥ 12. We also pro