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  • 标题:The SDP Value for Random Two-Eigenvalue CSPs
  • 本地全文:下载
  • 作者:Sidhanth Mohanty ; Ryan O'Donnell ; Pedro Paredes
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:154
  • 页码:50:1-50:45
  • DOI:10.4230/LIPIcs.STACS.2020.50
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We precisely determine the SDP value (equivalently, quantum value) of large random instances of certain kinds of constraint satisfaction problems, "two-eigenvalue 2CSPs". We show this SDP value coincides with the spectral relaxation value, possibly indicating a computational threshold. Our analysis extends the previously resolved cases of random regular 2XOR and NAE-3SAT, and includes new cases such as random Sortâ," (equivalently, CHSH) and Forrelation CSPs. Our techniques include new generalizations of the nonbacktracking operator, the Ihara-Bass Formula, and the Friedman/Bordenave proof of Alon’s Conjecture.
  • 关键词:Semidefinite programming; constraint satisfaction problems
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