Asymptotics under self-intersection for minimizers of self-avoiding energies

dc.contributor.advisorHardt, Robert M.en_US
dc.creatorDunning, Ryan Patricken_US
dc.date.accessioned2011-07-25T01:38:34Zen_US
dc.date.available2011-07-25T01:38:34Zen_US
dc.date.issued2009en_US
dc.description.abstractA knot energy is a real-valued function on a space of curves which in some sense assigns higher energy values to more complicated curves. The key property of any knot energy is self-repulsiveness: for a sequence of curves approaching a self-intersection, the energy blows up to infinity. While the study of optimally embedded curves as minimizers of energy among a given knot class has been well-documented, this thesis investigates the existence of optimally immersed self-intersecting curves. Because any self-intersecting curve will have infinite knot energy, parameter-dependent renormalizations of the energy remove the singular behavior of the curve. This process allows for the careful selection of an optimally immersed curve.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS MATH. 2009 DUNNINGen_US
dc.identifier.citationDunning, Ryan Patrick. "Asymptotics under self-intersection for minimizers of self-avoiding energies." (2009) Diss., Rice University. <a href="https://hdl.handle.net/1911/61838">https://hdl.handle.net/1911/61838</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/61838en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectMathematicsen_US
dc.titleAsymptotics under self-intersection for minimizers of self-avoiding energiesen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentMathematicsen_US
thesis.degree.disciplineNatural Sciencesen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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