A note on sparse polynomial interpolation in Dickson polynomial basis

IF 0.4 Q4 MATHEMATICS, APPLIED ACM Communications in Computer Algebra Pub Date : 2020-12-01 DOI:10.1145/3465002.3465003
E. Imamoglu, E. Kaltofen
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引用次数: 1

Abstract

The sparsity t≪ deg(f) with respect to the basis Pn has been exploited—since [9] —in interpolation algorithms that reconstruct the degree/coefficient expansion (δj, cj)1≤j≤t from values ai = f(γi) at the arguments x ← γi ∈ K. Current algorithms for standard and Chebyshev bases use i = 1, . . . , N = t + B values when an upper bound B ≥ t is provided on input. The sparsity t can also be computed “on-the-fly” from N = 2t+ 1 values by a randomized algorithm which fails with probability O(ǫ deg(f)), where ǫ≪ 1 can be chosen on input. See [3] for a list of references. This note considers Dickson Polynomials for the basis in which a sparse representation is sought. Wang and Yucas [10, Remark 2.5] define the n-th degree Dickson Polynomials Dn,k(x, a) ∈ K[x] of the (k + 1)’st kind for a parameter a ∈ K, a 6= 0, and k ∈ Z≥0, k 6= 2 recursively as as follows:
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关于Dickson多项式基上稀疏多项式插值的一个注记
自[9]以来,在插值算法中利用了相对于基Pn的稀疏性t≪deg(f),插值算法根据自变量x处的值ai=f(γi)重建度/系数展开(δj,cj)1≤j≤t← γi∈K。标准基和切比雪夫基的当前算法使用i=1,当在输入上提供上界B≥t时,N=t+B值。稀疏性t也可以通过随机算法从N=2t+1值“动态”计算,该算法以概率O(ǫdeg(f))失败,其中ǫ;≪1可以在输入时选择。参考文献列表见[3]。本文将Dickson多项式作为寻求稀疏表示的基础。Wang和Yucas[10,注2.5]递归地定义了参数a∈k,a6=0,k∈Z≥0,k6=2的(k+1)’t类的n次Dickson多项式Dn,k(x,a)∈k[x]如下:
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