Computing Circuit Polynomials in the Algebraic Rigidity Matroid

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED SIAM Journal on Applied Algebra and Geometry Pub Date : 2023-05-23 DOI:10.1137/21m1437986
Goran Malić, Ileana Streinu
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引用次数: 1

Abstract

We present an algorithm for computing circuit polynomials in the algebraic rigidity matroid associated to the Cayley–Menger ideal for points in 2D. It relies on combinatorial resultants, a new operation on graphs that captures properties of the Sylvester resultant of two polynomials in this ideal. We show that every rigidity circuit has a construction tree from graphs based on this operation. Our algorithm performs an algebraic elimination guided by such a construction tree and uses classical resultants, factorization, and ideal membership. To highlight its effectiveness, we implemented the algorithm in Mathematica: it took less than 15 seconds on an example where a Gröbner basis calculation took 5 days and 6 hours. Additional speed-ups are obtained using non- generators of the Cayley–Menger ideal and simple variations on our main algorithm.
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计算代数刚性矩阵中的电路多项式
我们提出了一种计算二维点的Cayley-Menger理想代数刚性矩阵中电路多项式的算法。它依赖于组合结式,这是一种对图的新操作,它捕获了这个理想中两个多项式的Sylvester结式的性质。我们证明了每个刚性电路都有一个基于此操作的图的构造树。我们的算法在构造树的指导下进行代数消去,并使用经典结果、因式分解和理想隶属度。为了突出其有效性,我们在Mathematica中实现了该算法:在一个示例中,它只花了不到15秒的时间,而一个Gröbner基础计算需要5天零6小时。使用Cayley-Menger理想的非生成器和我们的主要算法的简单变体获得了额外的加速。
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
19
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