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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01x633f3979
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dc.contributor.advisorShcherbina, Tatyana-
dc.contributor.authorMong, Arnold-
dc.date.accessioned2020-07-24T11:46:31Z-
dc.date.available2020-07-24T11:46:31Z-
dc.date.created2020-05-04-
dc.date.issued2020-07-24-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01x633f3979-
dc.description.abstractWe introduce Grassman integration to derive the asymptotic behavior of the correlation function of the product of two characteristic polynomials for various matrix ensembles. We first derive the result for the Gaussian Unitary and Gaussian Orthogonal ensembles (GUE and GOE), before moving onto general real symmetric Wigner matrices. The main result is to show that a Grassman integration approach can be used to derive a GOE universality result for second order correlation functions. While the resulting asymptotics are already known, it is unclear how to generalize any previous approach to study universality of higher order correlations. This work yields the same result for the second order correlations, and previous work on GUE universality suggests that the method can be generalized to higher order correlations over GOE as well.en_US
dc.format.mimetypeapplication/pdf-
dc.language.isoenen_US
dc.titleORIGINALen_US
dc.titleCharacteristic Polynomials over Random Matrix Ensembles through a Grassman Integration Approachen_US
dc.titleORIGINALen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2020en_US
pu.departmentMathematicsen_US
pu.pdf.coverpageSeniorThesisCoverPage-
pu.contributor.authorid961258442-
Appears in Collections:Mathematics, 1934-2020

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