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Analysis of Randomized Algorithms in Real Algebraic Geometry

dc.contributor.authorElliott, Jesse
dc.date.accessioned2020-09-02T20:56:25Z
dc.date.available2020-09-02T20:56:25Z
dc.date.issued2020-09-02
dc.date.submitted2020-08-21
dc.description.abstractConsider the problem of computing at least one point in each connected component of a smooth real algebraic set. This is a basic and important operation in real and semi-algebraic geometry: it gives an upper bound on the number of connected components of the algebraic set, it can be used to decide if the algebraic set has real solutions, and it is also used as a subroutine in many higher-level algorithms. We consider an algorithm for this problem by Safey El Din and Schost: "Polar varieties and computation of one point in each connected component of a smooth real algebraic set," (ISSAC'03). This algorithm uses random changes of variables that are proven to generically ensure certain desirable geometric properties. The cost of the algorithm was given in an algebraic complexity model, and the analysis of the bit complexity and the error probability were left for future work. We also consider another algorithm that solves a special case of the problem. Namely, when the algebraic set is a compact hypersurface. We determine the bit complexity and error probability of these algorithms. Our main contribution is a quantitative analysis of several genericity statements, such as Thom's weak transversality theorem and Noether normalization properties for polar varieties. Furthermore, in doing this work, we have developed techniques that can be used in the analysis of further randomized algorithms in real algebraic geometry, which rely on related genericity properties. en
dc.identifier.urihttp://hdl.handle.net/10012/16236
dc.language.isoenen
dc.pendingfalse
dc.publisherUniversity of Waterlooen
dc.subjectreal algebraic geometryen
dc.subjectweak transversalityen
dc.subjectNoether positionen
dc.subjectcomplexityen
dc.titleAnalysis of Randomized Algorithms in Real Algebraic Geometryen
dc.typeMaster Thesisen
uws-etd.degreeMaster of Mathematicsen
uws-etd.degree.departmentDavid R. Cheriton School of Computer Scienceen
uws-etd.degree.disciplineComputer Scienceen
uws-etd.degree.grantorUniversity of Waterlooen
uws.contributor.advisorSchost, Eric
uws.contributor.advisorGiesbrecht, Mark
uws.contributor.affiliation1Faculty of Mathematicsen
uws.peerReviewStatusUnrevieweden
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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