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  • 标题:A Largish Sum-Of-Squares Implies Circuit Hardness and Derandomization
  • 本地全文:下载
  • 作者:Pranjal Dutta ; Nitin Saxena ; Thomas Thierauf
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2021
  • 卷号:185
  • 页码:23:1-23:21
  • DOI:10.4230/LIPIcs.ITCS.2021.23
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:For a polynomial f, we study the sum of squares representation (SOS), i.e. f = â^'_{i â^^ [s]} c_i f_i² , where c_i are field elements and the f_i’s are polynomials. The size of the representation is the number of monomials that appear across the f_i’s. Its minimum is the support-sum S(f) of f. For simplicity of exposition, we consider univariate f. A trivial lower bound for the support-sum of, a full-support univariate polynomial, f of degree d is S(f) ≥ d^{0.5}. We show that the existence of an explicit polynomial f with support-sum just slightly larger than the trivial bound, that is, S(f) ≥ d^{0.5 ε(d)}, for a sub-constant function ε(d) > ω(â^S{log log d/log d}), implies that VP ≠VNP. The latter is a major open problem in algebraic complexity. A further consequence is that blackbox-PIT is in SUBEXP. Note that a random polynomial fulfills the condition, as there we have S(f) = Î~(d). We also consider the sum-of-cubes representation (SOC) of polynomials. In a similar way, we show that here, an explicit hard polynomial even implies that blackbox-PIT is in P.
  • 关键词:VP; VNP; hitting set; circuit; polynomial; sparsity; SOS; SOC; PIT; lower bound
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