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E. Nart

Publications and source records attributed to E. Nart.

3 recordsLinked to original sources

Higher Newton polygons and integral bases

Let $A$ be a Dedekind domain, $K$ the fraction field, $\p$ a non-zero prime ideal of $A$, and $K_\pp$ the completion of $K$ with respect to the $\p$-adic topology. At the input of a monic irreducible separable polynomial, $f(x)\in A[x]$, Montes algorithm determines the factorization of $f(x)$ over $K_\pp[x]$, and it provides essential arithmetic information about the finite extensions of $K_\pp$ determined by the different irreducible factors. In particular, it can be used to compute $\p$-integral bases of the extension of $K$ determined by $f(x)$ \cite{newapp}. In this paper we present new (and faster) methods to compute $\p$-integral bases, based on the use of the quotients of certain divisions with remainder of $f(x)$ that occur along the flow of Montes algorithm.

math.NT

Single-factor lifting and factorization of polynomials over local fields

Let $f(x)$ be a separable polynomial over a local field. Montes algorithm computes certain approximations to the different irreducible factors of $f(x)$, with strong arithmetic properties. In this paper we develop an algorithm to improve any one of these approximations, till a prescribed precision is attained. The most natural application of this "single-factor lifting" routine is to combine it with Montes algorithm to provide a fast polynomial factorization algorithm. Moreover, the single-factor lifting algorithm may be applied as well to accelerate the computational resolution of several global arithmetic problems in which the improvement of an approximation to a single local irreducible factor of a polynomial is required.

math.NT

Arithmetic in big number fields: the '+Ideals' package

We introduce our package '+Ideals' for Magma, designed to perform the basic tasks related to ideals in number fields without pre-computing integral bases. It is based on Montes algorithm and a number of local techniques that we have developed in a series of papers in the last years.

math.NT