Attacking the Polynomials in the Maze of Finite Fields problem

Fuente: arXiv
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Auteurs principaux: Barbero, Àngela, Freij-Hollanti, Ragnar, Hollanti, Camilla, Raddum, Håvard, Ytrehus, Øyvind, Øygarden, Morten
Format: Preprint
Publié: 2026
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author Barbero, Àngela
Freij-Hollanti, Ragnar
Hollanti, Camilla
Raddum, Håvard
Ytrehus, Øyvind
Øygarden, Morten
author_facet Barbero, Àngela
Freij-Hollanti, Ragnar
Hollanti, Camilla
Raddum, Håvard
Ytrehus, Øyvind
Øygarden, Morten
contents In April 2025 GMV announced a competition for finding the best method to solve a particular polynomial system over a finite field. In this paper we provide a method for solving the given equation system significantly faster than what is possible by brute-force or standard Gröbner basis approaches. The method exploits the structured sparsity of the polynomial system to compute a univariate polynomial in the associated ideal through successive computations of resultants. A solution to the system can then be efficiently recovered from this univariate polynomial. Pseudocode is given for the proposed ResultantSolver algorithm, along with experiments and comparisons to rival methods. We also discuss further potential improvements, such as parallelizing parts of the computations.
format Preprint
id arxiv_https___arxiv_org_abs_2603_05054
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Attacking the Polynomials in the Maze of Finite Fields problem
Barbero, Àngela
Freij-Hollanti, Ragnar
Hollanti, Camilla
Raddum, Håvard
Ytrehus, Øyvind
Øygarden, Morten
Computational Complexity
In April 2025 GMV announced a competition for finding the best method to solve a particular polynomial system over a finite field. In this paper we provide a method for solving the given equation system significantly faster than what is possible by brute-force or standard Gröbner basis approaches. The method exploits the structured sparsity of the polynomial system to compute a univariate polynomial in the associated ideal through successive computations of resultants. A solution to the system can then be efficiently recovered from this univariate polynomial. Pseudocode is given for the proposed ResultantSolver algorithm, along with experiments and comparisons to rival methods. We also discuss further potential improvements, such as parallelizing parts of the computations.
title Attacking the Polynomials in the Maze of Finite Fields problem
topic Computational Complexity
url https://arxiv.org/abs/2603.05054