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
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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