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  • 标题:Testing Low Complexity Affine-Invariant Properties
  • 本地全文:下载
  • 作者:Arnab Bhattacharyya ; Eldar Fischer ; Shachar Lovett
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2012
  • 卷号:2012
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:Invariance with respect to linear or affine transformations of the domain is arguably the most common symmetry exhibited by natural algebraic properties. In this work, we show that any low complexity affine-invariant property of multivariate functions over finite fields is testable with a constant number of queries. This immediately reproves, for instance, that the Reed-Muller code over Fp of degree dp is testable, with an argument that uses no detailed algebraic information about polynomials, except that low degree is preserved by composition with affine maps. The complexity of an affine-invariant property refers to the maximum complexity, as defined by Green and Tao (Ann. Math. 2008), of the sets of linear forms used to characterize . A more precise statement of our main result is that for any fixed prime p2 and fixed integer R2, any affine-invariant property of functions f:Fnp[R] is testable, assuming the complexity of the property is less than p. Our proof involves developing analogs of graph-theoretic techniques in an algebraic setting, using tools from higher-order Fourier analysis.
  • 关键词:additive combinatorics, Gowers norm, Regularity Lemma
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