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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Tight Hamilton Cycles in Random Hypergraphs

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Author(s):
Allen, Peter [1] ; Boettcher, Julia [1] ; Kohayakawa, Yoshiharu [2] ; Person, Yury [3]
Total Authors: 4
Affiliation:
[1] London Sch Econ, Dept Math, London WC2A 2AE - England
[2] Univ Sao Paulo, Inst Matemat & Estat, BR-05508090 Sao Paulo - Brazil
[3] Goethe Univ, Inst Math, D-60325 Frankfurt - Germany
Total Affiliations: 3
Document type: Journal article
Source: RANDOM STRUCTURES & ALGORITHMS; v. 46, n. 3, p. 446-465, MAY 2015.
Web of Science Citations: 7
Abstract

We give an algorithmic proof for the existence of tight Hamilton cycles in a random r-uniform hypergraph with edge probability p=n-1+epsilon for every epsilon>0. This partly answers a question of Dudek and Frieze (Random Struct Algor 42 (2013), 374-385), who used a second moment method to show that tight Hamilton cycles exist even for p=(n)/n(r3) where (n) arbitrary slowly, and for p=(e+o(1))/n(r4). The method we develop for proving our result applies to related problems as well. (c) 2013 Wiley Periodicals, Inc. Random Struct. Alg., 46, 446-465, 2015 (AU)

FAPESP's process: 09/17831-7 - Embedding and packing problems in extremal graph theory
Grantee:Julia Boettcher
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:Oswaldo Baffa Filho
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 13/03447-6 - Combinatorial structures, optimization, and algorithms in theoretical Computer Science
Grantee:Carlos Eduardo Ferreira
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 10/09555-7 - Embedding, randomised and structural problems in extremal graph theory
Grantee:Peter David Allen
Support Opportunities: Scholarships in Brazil - Post-Doctoral