ON PERFECTLY FRIENDLY BISECTIONS OF RANDOM GRAPHS

成果类型:
Article
署名作者:
Minzer, Dor; Sah, Ashwin; Sawhney, Mehtaab
署名单位:
Massachusetts Institute of Technology (MIT)
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/24-AOP1696
发表日期:
2024
页码:
2281-2341
关键词:
local algorithms asymptotic enumeration BOOLEAN FUNCTIONS sharp threshold degree sequence maximum degree max-cut
摘要:
We prove that there exists a constant gamma (crit) approximate to 0.17566 such that if G similar to G (n, 1/2), then for any epsilon > 0 with high probability G has a equipartition such that each vertex has (gamma( crit) - epsilon) root n more neighbors in its own part than in the other part and with high probability no such partition exists for a separation of (gamma( crit) + epsilon) root n . The proof involves a number of tools ranging from isoperimetric results on vertex-transitive sets of graphs coming from Boolean functions, switchings, enumeration of graphs with a given degree sequence, and the second moment method. Our results substantially strengthen recent work of Ferber, Kwan, Narayanan, and the last two authors on a conjecture of F & uuml;redi from 1988 and, in particular, prove the existence of fully-friendly bisections in G (n, 1/2).
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