201. Complexity bounds for the rational Newton-Puiseux algorithm over finite fields
- Author
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Marc Rybowicz, Adrien Poteaux, Solvers for Algebraic Systems and Applications (SALSA), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Institute for Applied Geometry, Johannes Kepler Universität Linz (JKU), DMI, XLIM (XLIM), and Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Discrete mathematics ,[INFO.INFO-SC]Computer Science [cs]/Symbolic Computation [cs.SC] ,[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC] ,Algebra and Number Theory ,Applied Mathematics ,[MATH.MATH-AC]Mathematics [math]/Commutative Algebra [math.AC] ,010102 general mathematics ,Algebraic extension ,Field (mathematics) ,0102 computer and information sciences ,Rational function ,01 natural sciences ,Puiseux series ,Gröbner basis ,Finite field ,010201 computation theory & mathematics ,Algebraic function ,0101 mathematics ,Algebraically closed field ,Algorithm ,ComputingMilieux_MISCELLANEOUS ,Mathematics - Abstract
We carefully study the number of arithmetic operations required to compute rational Puiseux expansions of a bivariate polynomial F over a finite field. Our approach is based on the rational Newton-Puiseux algorithm introduced by D. Duval. In particular, we prove that coefficients of F may be significantly truncated and that certain complexity upper bounds may be expressed in terms of the output size. These preliminary results lead to a more efficient version of the algorithm with a complexity upper bound that improves previously published results. We also deduce consequences for the complexity of the computation of the genus of an algebraic curve defined over a finite field or an algebraic number field. Our results are practical since they are based on well established subalgorithms, such as fast multiplication of univariate polynomials with coefficients in a finite field.
- Published
- 2011
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