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arXiv 2209.02306math.RAcs.RO
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允许分解为线性因子的运动多项式

Motion Polynomials Admitting a Factorization with Linear Factors

Academy of Mathematics and Systems Science, Chinese Academy of Sciences(中国科学院数学与系统科学研究院);University of Innsbruck(因斯布鲁克大学);King Abdullah University of Science and Technology(阿卜杜拉国王科技大学)

Zijia Li, Hans-Peter Schröcker, Mikhail Skopenkov, Daniel F. Scharler

AI总结:

本文研究有界运动多项式的线性因子分解,给出充要条件、计算算法及余因子求法的改进,可用于将有理运动分解为简单旋转或平移并构造机构。

摘要:

运动多项式(对偶四元数上具有非零实范数的多项式)描述有理运动。我们提出了约化有界运动多项式可分解为首一线性因子的充要条件,并给出了计算这些因子的算法。我们可以利用这些线性因子来构造机构,因为该分解对应于将有理运动分解为简单的旋转或平移。有界运动多项式在乘以适当的实多项式或四元数多项式后,总是可以分解为线性因子。我们的可分解性判据使我们能够改进早期用于计算适当实多项式或四元数多项式余因子的算法。

英文摘要:

Motion polynomials (polynomials over the dual quaternions with nonzero real norm) describe rational motions. We present a necessary and sufficient condition for reduced bounded motion polynomials to admit factorizations into monic linear factors, and we give an algorithm to compute them. We can use those linear factors to construct mechanisms because the factorization corresponds to the decomposition of the rational motion into simple rotations or translations. Bounded motion polynomials always admit a factorization into linear factors after multiplying with a suitable real or quaternion polynomial. Our criterion for factorizability allows us to improve on earlier algorithms to compute a suitable real or quaternion polynomial co-factor.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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