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Sparse random and pseudorandom graphs and graph Ramsey theory

Subject Area Mathematics
Term from 2014 to 2018
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 263484357
 
Final Report Year 2018

Final Report Abstract

The area of this project was extremal and probabilistic combinatorics with the focus on understanding of when certain, bounded in some sense, ubiquitous (in graph theory) structures appear in large sparse stuctures, and when structures become unavoidable even if one asks for such structure to be monochromatic after a large structure gets 2-colored (Ramsey theory). The prime objects of study were sparse random and pseudorandom graphs and their generalizations to hypergraphs. The project has led to thirteen scientific contributions. The results of the project include: a generalization of Riordan’s theorem about spanning structures in random graphs to random hypergraphs, the study of universal hypergraphs, an algorithmic result on tight Hamilton cycles in random hypergraphs. Furthermore, a development of general technique to address problems in randomly perturbed graphs was given. It was established that these graphs contain certain well-studied bounded degree spanning subgraphs (general bounded degree graphs, powers of Hamilton cycles, trees universally) usually ‘earlier’ than the corresponding random graphs. Also some applications of recently developed blow-up lemmas for sparse graphs have been studied, and a result of near-perfect triangle factors at the optimal density for so-called (n, d, λ)-graphs has been obtained. In Ramsey theory, the study of Ramsey properties of random hypergraphs identified a new type of threshold absent in the random graph case, and 1-statement (up to a logarithmic factor) of a conjecture of Kohayakawa and Kreuter has been proven. The study of minimal Ramsey hypergraphs was initiated and the results on vertex degrees and codegrees in minimal Ramsey 3-uniform hypergraphs have been given.

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