Mean Sojourn Time Problems and Eigenvalue Asymptotics of the Laplacian
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Open Access
Type
ThesisThesis type
Doctor of PhilosophyAuthor/s
Trad, WilliamAbstract
In this thesis, the theory of pseudo-differential operators, an element of microlocal analysis is used in
order to construct explicit Greens function expansions in a variety of standard geometric settings in
order to derive mean sojourn time asymptotics for a test Brownian motion. ...
See moreIn this thesis, the theory of pseudo-differential operators, an element of microlocal analysis is used in order to construct explicit Greens function expansions in a variety of standard geometric settings in order to derive mean sojourn time asymptotics for a test Brownian motion. In addition, we apply these Greens function expansions to derive a spectral asymptotic result on the variation of Neumann eigenvalues when a geometrically small Dirichlet boundary perturbation is introduced. What appears ubiquitously throughout our results are special geometric quantities such as the mean and principal curvatures, as well as the geodesic distance and volumes of the geometries in question.
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See moreIn this thesis, the theory of pseudo-differential operators, an element of microlocal analysis is used in order to construct explicit Greens function expansions in a variety of standard geometric settings in order to derive mean sojourn time asymptotics for a test Brownian motion. In addition, we apply these Greens function expansions to derive a spectral asymptotic result on the variation of Neumann eigenvalues when a geometrically small Dirichlet boundary perturbation is introduced. What appears ubiquitously throughout our results are special geometric quantities such as the mean and principal curvatures, as well as the geodesic distance and volumes of the geometries in question.
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Date
2023Licence
The author retains copyright of this thesisRights statement
The author retains copyright of this thesis. It may only be used for the purposes of research and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission.Faculty/School
Faculty of Science, School of Mathematics and StatisticsDepartment, Discipline or Centre
Mathematics and StatisticsAwarding institution
The University of SydneyShare