Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

Applied Mathematics

PDF

Theses/Dissertations

2015

Pure sciences

Articles 1 - 3 of 3

Full-Text Articles in Physical Sciences and Mathematics

Isometries Of Besov Type Spaces Among Composition Operators, Melissa Ann Shabazz Jul 2015

Isometries Of Besov Type Spaces Among Composition Operators, Melissa Ann Shabazz

Graduate Theses and Dissertations

Let Bp,alpha for p >1 and alpha >1 be the Besov type space of holomorphic functions on the unit disk D. Given Phi, a holomorphic self map of D, we show the composition operator CPhi is an isometry on Bp,alpha if and only if the weighted composition operator WPhiPhi, is an isometry on the weighted Bergman space Ap,alpha. We then characterize isometries among composition operators in Bp,alpha in terms of their Nevanlinna type counting function. Finally, we find that the only isometries among composition operators on Bp,alpha, except on B 2,0, are induced by rotations. This extends known results by …


Good Stein Neighborhood Bases For Nonsmooth Pseudoconvex Domains, Chizuko Iwaki Jul 2015

Good Stein Neighborhood Bases For Nonsmooth Pseudoconvex Domains, Chizuko Iwaki

Graduate Theses and Dissertations

In 1979, Dufresnoy showed that the existence of a good Stein neighborhood base for Ω ⊂ℂⁿ implies that one can solve the inhomogeneous Cauchy-Riemann equations in C^∞(Ω̄), even if the boundary of Ω is only Lipschitz. In my thesis, I will show sufficient conditions for the existence of a good Stein neighborhood base on a Lipschitz domain satisfying Property (P).


Sensitivity Of Mixed Models To Computational Algorithms Of Time Series Data, Gunaime Nevine Apr 2015

Sensitivity Of Mixed Models To Computational Algorithms Of Time Series Data, Gunaime Nevine

Doctoral Dissertations

Statistical analysis is influenced by implementation of the algorithms used to execute the computations associated with various statistical techniques. Over many years; very important criteria for model comparison has been studied and examined, and two algorithms on a single dataset have been performed numerous times. The goal of this research is not comparing two or more models on one dataset, but comparing models with numerical algorithms that have been used to solve them on the same dataset.

In this research, different models have been broadly applied in modeling and their contrasting which are affected by the numerical algorithms in different …