RUS  ENG
Полная версия
СЕМИНАРЫ

Межкафедральный семинар МФТИ по дискретной математике
29 апреля 2014 г. 18:30, г. Долгопрудный, г. Долгопрудный, МФТИ, Корпус Прикладной математики, ауд. 115


A tale of models for random graphs

Джеонг Хан Ким


http://www.youtube.com/watch?v=fB7j3sQqR4I

Аннотация: Since Erdős and Rényi introduced random graphs in 1959, two closely related models for random graphs have been extensively studied. In the G(n,m) model, a graph is chosen uniformly at random from the collection of all graphs that have n vertices and m edges. In the G(n,p) model, a graph is constructed by connecting each pair of two vertices randomly. Each edge is included in the graph G(n,p) with probability p independently of all other edges. Researchers have studied when the random graph G(n,m) (or G(n,p), resp.) satisfies certain properties in terms of n and m (or n and p, resp.). If G(n,m) (or G(n,p), resp.) satisfies a property with probability close to 1, then one may say that a `typical graph’ with m edges (or expected edge density p, resp.) on n vertices has the property. Random graphs and their variants are also widely used to prove the existence of graphs with certain properties. In this talk, a well-known problem for each of these categories will be discussed. First, a new approach will be introduced for the problem of the emergence of a giant component of G(n,p), which was first considered by Erdős–Rényi in 1960. Second, a variant of the graph process G(n,1),G(n,2),…,G(n,m),… will be considered to find a tight lower bound for Ramsey number R(3,t) up to a constant factor. No prior knowledge of graph theory is needed in this talk.


© МИАН, 2024