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dc.contributor.advisorFili, Paul
dc.contributor.authorClark, John Michael
dc.date.accessioned2020-09-09T21:26:50Z
dc.date.available2020-09-09T21:26:50Z
dc.date.issued2020-05
dc.identifier.urihttps://hdl.handle.net/11244/325521
dc.description.abstractFor a minimal polynomial $f$ we denote by $M(f)$ the Mahler measure of the roots of $f$. The classical Lehmer conjecture is concerned with finding a definitive lower bound for $M(f)$. Lehmer's polynomial is known to have the lowest Mahler measure for all polynomials. We look at a version of Lehmer's conjecture involving elliptic curves and investigate the corresponding Mahler measures, looking for those polynomials with minimal Mahler measure on various elliptic curves. We detail the results we have found using genetic algorithms.
dc.formatapplication/pdf
dc.languageen_US
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titlePolynomials with small elliptic Mahler measure via genetic algorithms
dc.contributor.committeeMemberPritsker, Igor
dc.contributor.committeeMemberWright, David
osu.filenameClark_okstate_0664M_16699.pdf
osu.accesstypeOpen Access
dc.type.genreThesis
dc.type.materialText
dc.subject.keywordselliptic curve
dc.subject.keywordsgenetic algorithm
dc.subject.keywordsheight
dc.subject.keywordslehmer conjecture
dc.subject.keywordsmachine learning
dc.subject.keywordsmahler measure
thesis.degree.disciplineMathematics
thesis.degree.grantorOklahoma State University


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