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  • 标题:Polynomial Identity Testing for Low Degree Polynomials with Optimal Randomness
  • 本地全文:下载
  • 作者:Markus Bl{"a}ser ; Anurag Pandey
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:176
  • 页码:8:1-8:13
  • DOI:10.4230/LIPIcs.APPROX/RANDOM.2020.8
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We give a randomized polynomial time algorithm for polynomial identity testing for the class of n-variate poynomials of degree bounded by d over a field ð"½, in the blackbox setting. Our algorithm works for every field ð"½ with ð"½ ≥ d+1, and uses only d log n + log (1/ ε) + O(d log log n) random bits to achieve a success probability 1 - ε for some ε > 0. In the low degree regime that is d ≪ n, it hits the information theoretic lower bound and differs from it only in the lower order terms. Previous best known algorithms achieve the number of random bits (Guruswami-Xing, CCC'14 and Bshouty, ITCS'14) that are constant factor away from our bound. Like Bshouty, we use Sidon sets for our algorithm. However, we use a new construction of Sidon sets to achieve the improved bound. We also collect two simple constructions of hitting sets with information theoretically optimal size against the class of n-variate, degree d polynomials. Our contribution is that we give new, very simple proofs for both the constructions.
  • 关键词:Algebraic Complexity theory; Polynomial Identity Testing; Hitting Set; Pseudorandomness
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