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21 Years of SINGULAR Experiments in Mathematics

Published online by Cambridge University Press:  11 November 2009

Christoph Lossen
Affiliation:
Technische Universität Kaiserslautern, Germany
Gerhard Pfister
Affiliation:
Technische Universität Kaiserslautern, Germany
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Summary

Abstract

This article gives some overview on Singular, a computer algebra system for polynomial computations with special emphasis on the needs of commutative algebra, algebraic geometry and singularity theory, which has been developed under the guidance of G.-M. Greuel, G. Pfister and the second author [31]. We draw the bow from Singular's early years to its latest features. Moreover, we present some explicit calculations, focusing on applications in singularity theory.

Introduction

By the development of effective computer algebra algorithms and of powerful computers, algebraic geometry and singularity theory (like many other disciplines of pure mathematics) have become accessible to experiments. Computer algebra may help

  • to discover unexpected mathematical evidence, leading to new conjectures or theorems, later proven by traditional means,

  • to construct interesting objects and determine their structure (in particular, to find counter-examples to conjectures),

  • to verify negative results such as the non-existence of certain objects with prescribed invariants,

  • to verify theorems whose proof is reduced to straightforward but tedious calculations,

  • to solve enumerative problems, and

  • to create data bases.

In fact, in the last decades, there is a growing number of research articles in algebraic geometry and singularity theory originating from explicit computations (such as [1] and [46] in this volume).

What abilities of a computer algebra system are needed to become a valuable tool for algebraic geometry and, in particular, for singularity theory? First of all, the system needs an efficient representation of polynomials with exact coefficients.

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Publisher: Cambridge University Press
Print publication year: 2006

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