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  • 标题:A Spectral Bound on Hypergraph Discrepancy
  • 本地全文:下载
  • 作者:Aditya Potukuchi
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:168
  • 页码:93:1-93:14
  • DOI:10.4230/LIPIcs.ICALP.2020.93
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:Let â"< be a t-regular hypergraph on n vertices and m edges. Let M be the m Ã- n incidence matrix of â"< and let us denote λ = max_{v â^^ ðY^âY,} 1/â€-vâ€- â€-Mvâ€-. We show that the discrepancy of â"< is O(â^St + λ). As a corollary, this gives us that for every t, the discrepancy of a random t-regular hypergraph with n vertices and m ≥ n edges is almost surely O(â^St) as n grows. The proof also gives a polynomial time algorithm that takes a hypergraph as input and outputs a coloring with the above guarantee.
  • 关键词:Hypergraph discrepancy; Spectral methods; Beck-Fiala conjecture
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