Polynomial-Division-Based Algorithms for Computing Linear Recurrence Relations - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Article Dans Une Revue Journal of Symbolic Computation Année : 2022

Polynomial-Division-Based Algorithms for Computing Linear Recurrence Relations

Jérémy Berthomieu

Résumé

Sparse polynomial interpolation, sparse linear system solving or modular rational reconstruction are fundamental problems in Computer Algebra. They come down to computing linear recurrence relations of a sequence with the Berlekamp-Massey algorithm. Likewise, sparse multivariate polynomial interpolation and multidimensional cyclic code decoding require guessing linear recurrence relations of a multivariate sequence. Several algorithms solve this problem. The so-called Berlekamp-Massey-Sakata algorithm (1988) uses polynomial additions and shifts by a monomial. The Scalar-FGLM algorithm (2015) relies on linear algebra operations on a multi-Hankel matrix, a multivariate generalization of a Hankel matrix. The Artinian Gorenstein border basis algorithm (2017) uses a Gram-Schmidt process. We propose a new algorithm for computing the Gröbner basis of the ideal of relations of a sequence based solely on multivariate polynomial arithmetic. This algorithm allows us to both revisit the Berlekamp-Massey-Sakata algorithm through the use of polynomial divisions and to completely revise the Scalar-FGLM algorithm without linear algebra operations. A key observation in the design of this algorithm is to work on the mirror of the truncated generating series allowing us to use polynomial arithmetic modulo a monomial ideal. It appears to have some similarities with Padé approximants of this mirror polynomial. As an addition from the paper published at the ISSAC conferance, we give an adaptive variant of this algorithm taking into account the shape of the final Gröbner basis gradually as it is discovered. The main advantage of this algorithm is that its complexity in terms of operations and sequence queries only depends on the output Gröbner basis. All these algorithms have been implemented in Maple and we report on our comparisons.
Fichier principal
Vignette du fichier
main.pdf (346.04 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01935229 , version 1 (26-11-2018)
hal-01935229 , version 2 (27-08-2020)
hal-01935229 , version 3 (06-07-2021)

Licence

Paternité

Identifiants

Citer

Jérémy Berthomieu, Jean-Charles Faugère. Polynomial-Division-Based Algorithms for Computing Linear Recurrence Relations. Journal of Symbolic Computation, 2022, 109, pp.1-30. ⟨10.1016/j.jsc.2021.07.002⟩. ⟨hal-01935229v3⟩
407 Consultations
559 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More