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A new faster algorithm for factoring skew polynomials over finite fields.

机译:一种用于在有限域上分解偏多项式的新的更快算法。

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Let k be a finite field of characteristic p and size p^qr, and let σ be an automorphism of k of order r. The ring of skew polynomials k[X, σ] is defined as usual polynomial rings except that X • a = σ(a) • X, so that X^r • a = σ^r(a)• X^r = a • X^r, so multiplication by X^r is commutative. Typical examples for skew polynomials (not necessarily over finite fields) are differential and difference operators, while over finite fields they have applications in coding theory. Skew polynomials can be factored into irre-ducibles, but unlike commutative polynomials, the result is not necessarily unique. However, by a classical theorem of Ore, the factorizations are similar, where two skew polynomials P and Q are similar if there exist skew polynomials U and V such that UP = QV (and rgcd(P, V) = 1, lgcd(Q, U) = 1). "Similarity" turns out to be the correct generalization of "equal up to constant factors." Hence, the authors only require that their factorization algorithm returns one of the possible factorizations, just as we would expect "factor(30)" to return "2,3,5" rather than "2,3,5 or -2,5,-3 or ..." The authors summarize their paper well: "The strategy of our algorithm is roughly comparable to the one of [1]: in order to factor P, we find a multiple N of P lying in the center of k[X,σ], we factor N in the center (which is a commutative polynomial ring), and we recover a factorization of P from the factorization of N we have just computed."
机译:令k为特征p和大小p ^ qr的有限域,令σ为r阶k的自同构。偏多项式k [X,σ]的环定义为通常的多项式环,只是X•a =σ(a)•X,因此X ^ r•a =σ^ r(a)•X ^ r = a •X ^ r,因此与X ^ r的乘积是可交换的。偏多项式(不一定在有限域上)的典型示例是微分和差分算子,而在有限域上它们在编码理论中具有应用。偏多项式可以分解为不可约式,但是与可交换多项式不同,结果不一定是唯一的。但是,根据Ore的经典定理,因式分解相似,如果存在两个偏斜多项式U和V,使得UP = QV(并且rgcd(P,V)= 1,lgcd(Q ,U)= 1)。事实证明,“相似性”是对“等于恒定因子”的正确概括。因此,作者只要求他们的因式分解算法返回可能的因式分解之一,就像我们希望“ factor(30)”返回“ 2,3,5”而不是“ 2,3,5或-2,5”一样,-3或...”作者很好地总结了他们的论文:“我们算法的策略与[1]中的算法大致相当:为了分解P,我们发现P的多个N位于P的中心k [X,σ],我们将N分解为中心(这是可交换的多项式环),然后从刚刚计算的N的分解中恢复P的分解。”

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