FACTORIZATION OF DEGREE k-ALMOST SIMPLE POLYNOMIALS

Anatoly Beletsky, Mikolay Karpinski
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Abstract

In this work, we introduce the notion of k-almost prime polynomials formed by the product over a Galois field of an arbitrary characteristic p of exactly k irreducible polynomials. The study aims to develop an effective algorithm for factorizing the degree of such composite polynomials providing a minimum of computational complexity. The proposed algorithm is based on the solution of a system of two equations functionally related to the a priori unknown degree of the components of the compound polynomial. One of these equations reflects that the degree of the composite polynomial equals the sum of degrees of elements of this polynomial. The second equation is based on the so-called cycle period of the compound polynomial, which coincides with the least common multiple of the unknown degrees of the components of the compound polynomial. It is found that the expansion of the cycle period contains all the degrees of the factorizable compound polynomial. The computational volume reduction is achieved by switching from the linear scale of the multiplicative group of subtractions generated by the cycle period of the compound polynomial to the logarithmic scale.
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k次几乎简单多项式的因数分解
在这项工作中,我们引入了k-概素数多项式的概念,它是由k个不可约多项式的任意特征p在伽罗瓦域上的积所形成的。本研究旨在开发一种有效的算法,以提供最小的计算复杂度来分解这些复合多项式的程度。所提出的算法是基于两个方程系统的解,该系统与复合多项式的组成部分的先验未知度函数相关。其中一个方程反映了复合多项式的度数等于该多项式各元素的度数之和。第二个方程是基于所谓的复合多项式的循环周期,它与复合多项式的未知分量的最小公倍数相吻合。发现循环周期的展开式包含了可分解复合多项式的所有次。计算量的减少是通过从由复合多项式的循环周期产生的减法乘法组的线性尺度切换到对数尺度来实现的。
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