A Modified Coefficient Ideal for Use with the Strict Transform

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  • Anne Frühbis-Krüger

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Original languageEnglish
Pages (from-to)550-560
Number of pages11
JournalJournal of Symbolic Computation
Volume46
Issue number5
Publication statusPublished - May 2011

Abstract

Two main algorithmic approaches are known for making Hironaka's proof of resolution of singularities in characteristic zero constructive. Their main differences are the use of different notions of transforms during the resolution process and the different use of exceptional divisors in the descent in ambient dimension. In this article, we focus on the first difference. Only the approach using the weak transform has up until now been successfully used in implementations, because the other one requires an explicit stratification by the Hilbert-Samuel function at each step of the algorithm which is highly impractical due to the high complexity of the computation of such a stratification. In this article, a (hybrid-type) algorithmic approach is proposed which allows the use of the strict transform without the full impact of the complexity of the stratification by the Hilbert-Samuel function at each step of the desingularization process. This new approach is not intended to always be superior to the previously implemented one, instead it has its strengths precisely at the weak point of the other one and is thus a candidate to be joined with it by an appropriate heuristic.

Keywords

    Coefficient ideal, Desingularization, Resolution of singularities, Strict transform, Weak transform

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A Modified Coefficient Ideal for Use with the Strict Transform. / Frühbis-Krüger, Anne.
In: Journal of Symbolic Computation, Vol. 46, No. 5, 05.2011, p. 550-560.

Research output: Contribution to journalArticleResearchpeer review

Frühbis-Krüger A. A Modified Coefficient Ideal for Use with the Strict Transform. Journal of Symbolic Computation. 2011 May;46(5):550-560. doi: 10.1016/j.jsc.2010.10.005
Frühbis-Krüger, Anne. / A Modified Coefficient Ideal for Use with the Strict Transform. In: Journal of Symbolic Computation. 2011 ; Vol. 46, No. 5. pp. 550-560.
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