带参数的零维理想的有理单变量表示

Dingkang Wang, Jingjing Wei, Fanghui Xiao, Xiaopeng Zheng
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引用次数: 0

摘要

本文给出了一种计算带参数的零维理想的有理单变量表示的算法。不同于无参数的零维理想的有理单变量表示,不同专门化下有参数的零维理想的零个数不同,这就导致了计算有理单变量表示的关键——分离元素的选择和校验的困难。为了挑选出分离元素,通过对参数空间进行划分,可以保证在每个分支下理想的零个数是相同的。然后根据参数情况下的扩展子结定理,通过进一步划分参数空间,选择每个分支对应的分离元素。最后,利用参数最大公约数理论,得到了带参数的零维理想的有理单变量表示的有限集合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rational Univariate Representation of Zero-Dimensional Ideals with Parameters
An algorithm for computing the rational univariate representation of zero-dimensional ideals with parameters is presented in the paper. Different from the rational univariate representation of zero-dimensional ideals without parameters, the number of zeros of zero-dimensional ideals with parameters under various specializations is different, which leads to choosing and checking the separating element, the key to computing the rational univariate representation, is difficult. In order to pick out the separating element, by partitioning the parameter space we can ensure that under each branch the ideal has the same number of zeros. Subsequently based on the extended subresultant theorem for parametric cases, the separating element corresponding to each branch is chosen with the further partition of parameter space. Finally, with the help of parametric greatest common divisor theory a finite set of the rational univariate representation of zero-dimensional ideals with parameters can be obtained.
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