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## A divide-and-conquer algorithm for computing Gröbner bases of syzygies in finite dimension

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Simone Naldi
Vincent Neiger
• Fonction : Auteur

#### Résumé

Let $f_1,\ldots,f_m$ be elements in a quotient $R^n / N$ which has finite dimension as a $K$-vector space, where $R = K[X_1,\ldots,X_r]$ and $N$ is an $R$-submodule of $R^n$. We address the problem of computing a Gr\"obner basis of the module of syzygies of $(f_1,\ldots,f_m)$, that is, of vectors $(p_1,\ldots,p_m) \in R^m$ such that $p_1 f_1 + \cdots + p_m f_m = 0$. An iterative algorithm for this problem was given by Marinari, M\"oller, and Mora (1993) using a dual representation of $R^n / N$ as the kernel of a collection of linear functionals. Following this viewpoint, we design a divide-and-conquer algorithm, which can be interpreted as a generalization to several variables of Beckermann and Labahn's recursive approach for matrix Pad\'e and rational interpolation problems in univariate contexts. To highlight the interest of this method, we focus on the specific case of bivariate Pad\'e approximation and show that it improves upon the best known complexity bounds.

#### Domaines

Informatique [cs] Calcul formel [cs.SC]

### Dates et versions

hal-02480240 , version 1 (15-02-2020)
hal-02480240 , version 2 (04-06-2020)

### Identifiants

• HAL Id : hal-02480240 , version 1

### Citer

Simone Naldi, Vincent Neiger. A divide-and-conquer algorithm for computing Gröbner bases of syzygies in finite dimension. 2020. ⟨hal-02480240v1⟩

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