English

Computing low-degree factors of lacunary polynomials: a Newton-Puiseux approach

Symbolic Computation 2014-07-11 v2 Computational Complexity Data Structures and Algorithms

Abstract

We present a new algorithm for the computation of the irreducible factors of degree at most dd, with multiplicity, of multivariate lacunary polynomials over fields of characteristic zero. The algorithm reduces this computation to the computation of irreducible factors of degree at most dd of univariate lacunary polynomials and to the factorization of low-degree multivariate polynomials. The reduction runs in time polynomial in the size of the input polynomial and in dd. As a result, we obtain a new polynomial-time algorithm for the computation of low-degree factors, with multiplicity, of multivariate lacunary polynomials over number fields, but our method also gives partial results for other fields, such as the fields of pp-adic numbers or for absolute or approximate factorization for instance. The core of our reduction uses the Newton polygon of the input polynomial, and its validity is based on the Newton-Puiseux expansion of roots of bivariate polynomials. In particular, we bound the valuation of f(X,ϕ)f(X,\phi) where ff is a lacunary polynomial and ϕ\phi a Puiseux series whose vanishing polynomial has low degree.

Keywords

Cite

@article{arxiv.1401.4720,
  title  = {Computing low-degree factors of lacunary polynomials: a Newton-Puiseux approach},
  author = {Bruno Grenet},
  journal= {arXiv preprint arXiv:1401.4720},
  year   = {2014}
}

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22 pages