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PRIMARY DECOMPOSITION OF ZERO-DIMENSIONAL IDEALS OVER FINITE FIELDS

机译:有限域上零维理想的初分解

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A new algorithm is presented for computing primary decomposition of zero-dimensional ideals over finite fields. Like Berlekamp's algorithm for univariate polynomials, the new method is based on the invariant subspace of the Frobenius map acting on the quotient algebra. The dimension of the invariant subspace equals the number of primary components, and a basis of the invariant subspace yields a complete decomposition. Unlike previous approaches for decomposing multivariate polynomial systems, the new method does not need primality testing nor any generic projection, instead it reduces the general decomposition problem directly to root finding of univariate polynomials over the ground field. Also, it is shown how Grobner basis structure can be used to get partial primary decomposition without any root finding.
机译:提出了一种新的算法,用于计算有限域上零维理想的初次分解。像Berlekamp的单变量多项式算法一样,新方法基于作用于商代数的Frobenius映射的不变子空间。不变子空间的维数等于主要成分的数量,不变子空间的基础产生完整的分解。与以前的分解多元多项式系统的方法不同,该新方法不需要素数测试,也不需要任何泛型投影,而是将一般分解问题直接归因于地面领域单变量多项式的求根。此外,还显示了如何使用Grobner基础结构来进行部分主分解而无需任何根查找。

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