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Combinatorial theorems in sparse random sets
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DOI：10.4007/annals.2016.184.2.2.png)
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摘要
En 中文
We develop a new technique that allows us to show in a unified way that many well-known combinatorial theorems, including Turan's theorem, Szemeredi's theorem and Ramsey's theorem, hold almost surely inside sparse random sets. For instance, we extend Turan's theorem to the random setting by showing that for every epsilon > 0 and every positive integer t >= 3 there exists a constant C such that, if G is a random graph on n vertices where each edge is chosen independently with probability at least Cn(-2/(t+ 1)), then, with probability tending to 1 as n tends to infinity, every subgraph of G with at least (1 - 1/t-1 + epsilon) e(G) edges contains a copy of K-t. This is sharp up to the constant C. We also show how to prove sparse analogues of structural results, giving two main applications, a stability version of the random Turan theorem stated above and a sparse hypergraph removal lemma. Many similar results have recently been obtained independently in a different way by Schacht and by Friedgut, Rodl and Schacht.
Keyword:
RANDOM DISCRETE STRUCTURES
K-UNIFORM HYPERGRAPHS
TURANS EXTREMAL PROBLEM
RANDOM GRAPHS
RAMSEY PROPERTIES
ARITHMETIC PROGRESSIONS
3-UNIFORM HYPERGRAPHS
K-4-FREE SUBGRAPHS
RANDOM SUBSETS
UPPER TAILS
期刊
IF:
5.3
论文数:
1.4K
被引数:
1.6W
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