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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01nz806295z
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dc.contributor.advisorTarnita, Corina-
dc.contributor.authorBauman, Daniel-
dc.date.accessioned2023-07-10T13:04:44Z-
dc.date.available2023-07-10T13:04:44Z-
dc.date.created2023-05-01-
dc.date.issued2023-07-10-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01nz806295z-
dc.description.abstractInteractions between bacteria which produce antibiotics and those which produce degrading enzymes to counteract the antibiotics are common in nature. They have been proposed as a mechanism enabling robust species coexistence and the stability of communities with many species. Current approaches to this rely on complex simulations, without effective mathematical treatment or insight. As a possible approach to better understand this system, I describe these bacterial interactions as a Wright-Fisher evolutionary model on a randomly colored graph. By taking an infinite-population limit, I derive a replicator equation, which is studied at varying degrees of simplicity. I show that the interaction can be captured by a three-strategy matrix game which exhibits stability. Three-strategy matrix games are then studied more generally, and I prove a theorem connecting coexistence of all species in the replicator equation to the ability of smaller sub-communities to be invaded.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.titleAn Analytical Model of Microbial Interactionsen_US
dc.typePrinceton University Senior Theses
pu.date.classyear2023en_US
pu.departmentMathematicsen_US
pu.pdf.coverpageSeniorThesisCoverPage
pu.contributor.authorid920208983
pu.mudd.walkinNoen_US
Appears in Collections:Mathematics, 1934-2023

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