Functional decomposition of polynomials

J. Gathen, D. Kozen, S. Landau
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引用次数: 37

Abstract

Fast DecoIIlposition in the tame case 2 polynomials over F. We obtain a range of results, trom Ulldecidability over sufficiently general fields to fast sequential and parallel algorithms over finite fields. A version of the algorithm of Theorem 1 below has beel implemented [2,6J and compares favorably with [3J. Dick erson [9J has extended some of these results to multivariate polynomials. We should give a brief history of the research behind this joint paper. Kozen and Landau [18] gave the first polynomial-time sequential and NCalgorithms for this problem in the tame case. The time hounds were O(n3 ) sequential, O(n ) if F supports an FFT, and 0(1og2 n) parallel. They also presented the structure theorem (Theorem 9), reducing the problem in the wild case to factorization, and gave an O(n ) algorithm for the decomposition of irreducible polynomials over general fields admitting a polynomial-time factorization algorithm, and an NC algorithm for irreducible polynomials over finite fields. Based on the algorithm of [18], von zur Gathen [17] improved the bounds in the tame case to those stated above. These results are presented in §2. He also gave an improved algorithm for the wild case, yielding a polynomial-time reduction to factorization of polynomials, and observed undecidability over sufficiently general fields. These results are presented in §3. Introduction 1
多项式的泛函分解
我们得到了一系列的结果,从足够一般的域上的不可判定性到有限域上的快速顺序和并行算法。下面定理1的算法的一个版本已经被实现[2,6 j],并且与[3J]相比具有优势。Dick erson [9J]将其中一些结果推广到多元多项式。我们应该简要介绍一下这篇联合论文背后的研究历史。Kozen和Landau b[18]给出了这个问题的第一个多项式时间序列和n算法。时间猎犬顺序为O(n3),如果F支持FFT则为O(n),并行为0(102n)。他们还提出了结构定理(定理9),将野生情况下的问题简化为因子分解,并给出了一个O(n)算法来分解一般域上的不可约多项式,允许多项式时间因子分解算法,以及一个有限域上不可约多项式的NC算法。在[18]算法的基础上,von zur Gathen[17]将tame情况下的边界改进为上述的边界。这些结果已在§2中提出。他还给出了一种改进的算法,对多项式的因式分解产生了多项式时间的简化,并在足够一般的域中观察到不可判定性。这些结果见§3。介绍1
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