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Counting Points on an Abelian Variety over a Finite Field

机译:在有限域上对阿贝尔品种的点计数

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Matsuo, Chao and Tsujii have proposed an algorithm for counting the number of points on the Jacobian variety of a hyper-elliptic curve over a finite field. The Matsuo-Chao-Tsujii algorithm is an improvement of the 'baby-step-giant-step' part of the Gaudry-Harley scheme. This scheme consists of two parts: firstly to compute the residue modulo a positive integer m of the order of a given Jacobian variety, and then to search for the actual order by a square-root algorithm. In this paper, following the Matsuo-Chao-Tsujii algorithm, we propose an improvement of the square-root algorithm part in the Gaudry-Harley scheme by optimizing the use of the residue modulo m of the characteristic polynomial of the Frobenius endomorphism of an Abelian variety. It turns out that the computational complexity is O ( q~(4g-2+i~2-i/8)/m~(i+1/2)), where i is an integer in the range 1 ≤ i ≤ g. We will show that for each g and each finite field F_9 of q = p~n elements, there exists an i which gives rise to the optimum complexity among all three corresponding algorithms.
机译:Matsuo,Chao和Tsujii提出了一种算法,用于计算有限域上超椭圆曲线的Jacobian变种上的点数。 Matsuo-Chao-Tsujii算法是对Gaudry-Harley方案的“婴儿步-巨型步”部分的改进。该方案包括两个部分:首先计算给定雅可比变量阶数的正整数m的模余数,然后通过平方根算法搜索实际阶数。本文根据Matsuo-Chao-Tsujii算法,通过优化Abelian Frobenius同态特征多项式的残差模的使用,提出了对Gaudry-Harley方案中平方根算法部分的改进品种。事实证明,计算复杂度为O(q〜(4g-2 + i〜2-i / 8)/ m〜(i + 1/2)),其中i是1≤i≤g范围内的整数。我们将证明,对于q = p〜n个元素的每个g和每个有限域F_9,都存在一个i,这会在所有三个相应算法中引起最佳复杂度。

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