Date of Award
2008
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Bioinformatics & Computational Biology
First Advisor
Eric R. Kaufmann
Abstract
In this work, the theory of time scales calculus that we will employ is developed, as derivatives, integrals, and fundamental results are introduced. When necessary for subsequent discussion, other results are presented. The Hilger Complex Plane, the time scale exponential function, and its properties are given, as is a generalization of the variation of constants formula. The discrete and continuous Malthus population model, and the discrete and continuous Verhulst population models are investigated and analyzed. A unified and extended version of both models is developed and criteria for stability of critical solutions is presented. We investigate the relationship between both models through their generalized counterparts via different time scales. These include, but are not limited to the integers, [special characters omitted], and the reals, [special characters omitted]. Discrepancies and similarities between the original models and the generalized models are studied by applying both to classic examples of population data. We then use these results to consider the dynamics of emigration and harvesting. Finally, we consider a solution matching technique for finding solutions to a system of three population models on a time scale.
Recommended Citation
Eggensperger, Martin, "Mathematical models: A generalization from population biology and time scales" (2008). Theses and Dissertations. 98.
https://research.ualr.edu/etd/98
