On the arithmetic complexity of computing Gröbner bases of comaximal determinantal ideals

IF 0.8 2区 数学 Q2 MATHEMATICS Journal of Algebra Pub Date : 2025-04-15 Epub Date: 2025-01-27 DOI:10.1016/j.jalgebra.2025.01.014
Sriram Gopalakrishnan
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Abstract

Let M be an n×n matrix of homogeneous linear forms over a field k. If the ideal In2(M) generated by minors of size n1 is Cohen-Macaulay, then the Gulliksen-Negård complex is a free resolution of In2(M). It has recently been shown that by taking into account the syzygy modules for In2(M) which can be obtained from this complex, one can derive a refined signature-based Gröbner basis algorithm DetGB which avoids reductions to zero when computing a grevlex Gröbner basis for In2(M). In this paper, we establish sharp complexity bounds on DetGB. To accomplish this, we prove several results on the sizes of reduced grevlex Gröbner bases of reverse lexicographic ideals, thanks to which we obtain two main complexity results which rely on conjectures similar to that of Fröberg. The first one states that, in the zero-dimensional case, the size of the reduced grevlex Gröbner basis of In2(M) is bounded from below by n6 asymptotically. The second, also in the zero-dimensional case, states that the complexity of DetGB is bounded from above by n2ω+3 asymptotically, where 2ω3 is any complexity exponent for matrix multiplication over k.
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论计算Gröbner极大行列式理想基的算术复杂度
设M是域k上齐次线性形式的n×n矩阵。如果由大小为n−1的次元生成的理想In−2(M)是Cohen-Macaulay,则gulliksen - negamatrd复合体是In−2(M)的自由分辨率。最近有研究表明,通过考虑可以从该复合体中获得的In - 2(M)的syzygy模块,可以推导出一种改进的基于签名的Gröbner基算法DetGB,该算法在计算In - 2(M)的grevlex Gröbner基时避免归零。本文在DetGB上建立了尖锐的复杂度界。为了实现这一点,我们证明了几个关于反向字典理想的简化grevlex Gröbner基的大小的结果,因此我们获得了两个主要的复杂性结果,它们依赖于与Fröberg类似的猜想。第一个说明,在零维情况下,in−2(M)的简化grevlex Gröbner基的大小从下渐近地以n6为界。第二种,同样是在零维情况下,表明DetGB的复杂度从上面逐渐以n2ω+3为界,其中2≤ω≤3是对k进行矩阵乘法的任何复杂度指数。
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来源期刊
Journal of Algebra
Journal of Algebra 数学-数学
CiteScore
1.50
自引率
22.20%
发文量
414
审稿时长
2-4 weeks
期刊介绍: The Journal of Algebra is a leading international journal and publishes papers that demonstrate high quality research results in algebra and related computational aspects. Only the very best and most interesting papers are to be considered for publication in the journal. With this in mind, it is important that the contribution offer a substantial result that will have a lasting effect upon the field. The journal also seeks work that presents innovative techniques that offer promising results for future research.
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