An Algorithm for Computing an Integral Basis in an Algebraic Function Field
β Scribed by Mark van Hoeij
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 310 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0747-7171
No coin nor oath required. For personal study only.
β¦ Synopsis
Algorithms for computing integral bases of an algebraic function field are implemented in some computer algebra systems. They are used e.g. for the integration of algebraic functions. The method used by Maple 5.2 and AXIOM is given by Trager in [Trager,1984]. He adapted an algorithm of Ford and Zassenhaus [Ford,1978], that computes the ring of integers in an algebraic number field, to the case of a function field.
It turns out that using algebraic geometry one can write a faster algorithm. The method we will give is based on Puiseux expansions. One can see this as a variant on the Coates' algorithm as it, is described in [Davenport,1981]. Some difficulties in computing with Puiseux expansions can be avoided using a sharp bound for the number of terms required which will be given in Section 3. In Section 5 we derive which denominator is needed in the integral basis. Using this result 'intermediate expression swell' can be avoided.
The Puiseux expansions generally introduce algebraic extensions. These extensions will not appear in the resulting integral basis.
π SIMILAR VOLUMES
In this article I describe an algorithm for computing finite dimensional graded algebras, and I describe an implementation of the algorithm. As an application of the algorithm, I investigate associative algebras satisfying the identity \(x^{4}=0\). I show that if \(A\) is an associative algebra over
We consider the problem of finding an optimal and sub-optimal allocation of program modules onto processors of a distributed computing system. A module causes two types of cost to be incurred at the processor to which it is allocated-an execution cost for processing the module, and a communication c
## Abstract To decrease the calculation time of iterative tomographic reconstruction, this study proposes and investigates the uses of the βdotβprojectionβ algorithm, which uses smooth basis functions for data representation. Basis functions give an approximation to the basis functions of blobs, wh
This paper is motivated by some recent work of Fukuda, Ishiwata, Iwasaki, and Nakamura (Inverse Problems 2009; 25:015007). We first design an algorithm for computing the eigenvalues of a specially structured matrix from the discrete Bogoyavlensky Lattice 2 (dBL2) system. A Lax representation for the
## Abstract This Letter, proposes an algebraic domain decomposition algorithm (ADDA) to solve large sparse linear systems derived from the vector finiteβelement method (FEM) for 3D electromagnetic field problems. The proposed method segments the problem into several smaller pieces, solves each subp