Using a bihomogeneous resultant to find the singularities of rational space curves
Using a bihomogeneous resultant to find the singularities of rational space curves
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使用双齐次合力找到有理空间曲线的奇点
DOI:
10.1016/j.jsc.2012.09.005
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发表时间:
2013-06
影响因子:
0.7
通讯作者:
Ron Goldman
中科院分区:
文献类型:
--
作者:
Xiaoran Shi;Xiaohong Jia;Ron Goldman
We provide a new technique to detect the singularities of rational space curves. Given a rational parametrization of a space curve, we first compute a μ-basis for the parametrization. From this μ-basis we generate three planar algebraic curves of different bidegrees whose intersection points correspond to the parameters of the singularities. To find these intersection points, we construct a new sparse resultant matrix for these three bivariate polynomials. We then compute the parameter values corresponding to the singularities by applying Gaussian elimination to this resultant matrix. Let νQdenote the multiplicity of the singular point Q, and let n be the degree of the curve. We find that when ∑νQ⩽2n−3, the last nonzero row after Gaussian elimination represents a univariate polynomial whose roots are exactly the parameter values of the singularities with the correct multiplicity. Otherwise the last two nonzero rows represent two bivariate polynomials whose common roots provide the parameter values of the singularities. We also show that if R is this resultant matrix, then size(R)−rank(R) gives the total multiplicity ∑νQ(νQ−1) of all the singular points including the infinitely near singular points of a rational space curve and we provide bounds on the expression ∑νQ(νQ−1) for the total multiplicity of all the singular points of a rational space curve. To verify our results, we present several examples to illustrate our methods.
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影响因子:
1.5
作者:
Haohao Wang;Xiaohong Jia;Ron Goldman
通讯作者:
Ron Goldman
DOI:
10.1007/978-0-8176-4771-1
发表时间:
1994-03
期刊:
--
影响因子:
--
作者:
I. M. Gelʹfand;M. Kapranov;A. Zelevinsky
通讯作者:
I. M. Gelʹfand;M. Kapranov;A. Zelevinsky
DOI:
10.1016/s0167-8396(01)00087-5
发表时间:
2002-02
期刊:
Comput. Aided Geom. Des.
影响因子:
--
作者:
Falai Chen;T. Sederberg
通讯作者:
Falai Chen;T. Sederberg
影响因子:
64.8
作者:
G. Fischer;L. Kay
通讯作者:
G. Fischer;L. Kay
DOI:
10.1007/978-1-4612-5350-1
发表时间:
1995-03
期刊:
--
影响因子:
--
作者:
D. Eisenbud
通讯作者:
D. Eisenbud