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首页> 外文期刊>Computational complexity >PSEUDORANDOM GENERATORS FOR CC~0[p] AND THE FOURIER SPECTRUM OF LOW-DEGREE POLYNOMIALS OVER FINITE FIELDS
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PSEUDORANDOM GENERATORS FOR CC~0[p] AND THE FOURIER SPECTRUM OF LOW-DEGREE POLYNOMIALS OVER FINITE FIELDS

机译:有限域上CC〜0 [p]的伪随机生成器和低阶多项式的傅立叶谱

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In this paper, we give the first construction of a pseudorandom generator, with seed length O(logn), for CC~0[p], the class of constant-depth circuits with unbounded fan-in MOD_P gates, for some prime p. More accurately, the seed length of our generator is O(log n) for any constant error ε > 0. In fact, we obtain our generator by fooling distributions generated by low-degree polynomials, over F_p, when evaluated on the Boolean cube. This result significantly extends previous constructions that either required a long seed (Luby et al. 1993) or could only fool the distribution generated by linear functions over F_p, when evaluated on the Boolean cube (Lovett et al. 2009; Meka & Zuckerman 2009). En route of constructing our PRG, we prove two structural results for low-degree polynomials over finite fields that can be of independent interest. 1. Let f be an n-variate degree d polynomial over F_p. Then, for every ε > 0, there exists a subset S C [n], whose size depends only on d and e, such that ∑_(α∈F~n_p:α≠0,α_S=0) |f(α)|~2 ≤ ε. Namely, there is a constant size subset S such that the total weight of the nonzero Fourier coefficients that do not involve any variable from S is small. 2. Let f be an n-variate degree d polynomial over F_p. If the distribution of f when applied to uniform zero-one bits is ε-far (in statistical distance) from its distribution when applied to biased bits, then for every δ > 0, f can be approximated over zero-one bits, up to error δ, by a function of a small number (depending only on ε, δ and d) of lower degree polynomials.
机译:在本文中,我们为CC〜0 [p]给出了种子长度为O(logn)的伪随机发生器的第一种构造,对于某些素数p,CC〜0 [p]是具有无限扇入MOD_P门的恒定深度电路。更准确地说,对于任何恒定误差ε> 0,我们的生成器的种子长度为O(log n)。实际上,当对布尔型立方体求值时,我们通过对F_p上的低次多项式生成的分布进行欺骗来获得生成器。该结果大大扩展了先前的构造,该构造需要长种子(Luby等,1993),或者仅当在布尔立方体上进行评估时,只能欺骗由线性函数在F_p上生成的分布(Lovett等,2009; Meka&Zuckerman 2009)。 。在构造PRG的过程中,我们证明了有限域中低阶多项式的两个结构结果,这些结果可以引起人们的关注。 1.令f为F_p的n变量d多项式。然后,对于每个ε> 0,都有一个子集SC [n],其大小仅取决于d和e,使得∑_(α∈F〜n_p:α≠0,α_S= 0)| f(α) |〜2≤ε。即,存在恒定大小的子集S,使得不涉及来自S的任何变量的非零傅立叶系数的总权重很小。 2.令f为F_p的n变量d多项式。如果将f应用于统一零一比特时的分布与应用于偏置零一比特时的分布相距ε-far(统计距离),则对于每个δ> 0,f可以在零一比特上近似,直到误差δ是少数低阶多项式的函数(仅取决于ε,δ和d)。

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