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dc.contributor.authorKim, Dong Wook
dc.date.accessioned2014-03-04T01:10:15Z
dc.date.available2014-03-04T01:10:15Z
dc.date.issued2006-08
dc.identifier.otherkim_dong-wook_200608_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/kim_dong-wook_200608_ms
dc.identifier.urihttp://hdl.handle.net/10724/23428
dc.description.abstractA variety of ecological models exhibit chaotic dynamics because of nonlinearities in population growth and interactions. Here, we will study the LPA model (beetle Tribolium). The LPA model is known to exhibit chaos. In this project, we investigate two things which arethe effect of noise constant and the effect of diffusion combined with the LPA model. The effect of noise is to blur the bifurcation diagram. Numerical simulations of the model have shown that diffusion can drive the total population of insects into complex patterns of variability in time. We will compare these simulations with simulations without diffusion. And we conclude that the diffusion coefficient is a bifurcation parameter and that there exist parameter regions with chaotic behavior and periodic solutions.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectDiffusion
dc.titleDiffusion induced chaos in an insect population
dc.typeThesis
dc.description.degreeMS
dc.description.departmentMathematics
dc.description.majorMathematics
dc.description.advisorAndrew Sornborger
dc.description.committeeAndrew Sornborger
dc.description.committeeCaner Kazanci
dc.description.committeeMalcolm R Adams


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