Other Mathematics Commons^™

Gompertz Distribution On Time Scales, Wasiu Sule

Theses, Dissertations and Capstones

We shall investigate Gompertz dynamic equations within the context of time scales calculus, by exploring the mathematical foundations and applications of the Gompertz model, which is commonly used to describe growth phenomena in various fields such as biology and economics. This research seeks to analyze the Gompertz cumulative distribution functions (CDF) and probability density functions (PDF) across different time scales, including the real numbers R and integer multiples hN. Probability techniques will be used to derive the CDF and PDF associated with the Gompertz dynamic equations, and we will examine how varying the time scale impacts the characteristics …

A Numerical Method For Coefficient Reconstruction Of A Periodic Inverse Source Problem, Robert Ireri

Theses, Dissertations and Capstones

This thesis investigates a numerical method for solving the periodic inverse source problem governed by the Helmholtz equation. The problem involves reconstructing an unknown periodic source term from boundary measurements, which is inherently ill-posed. To address this challenge, we employ a quasi-reversibility method (QRM) combined with a basis function expansion to stabilize the inverse reconstruction. The forward problem is solved using the Lippmann-Schwinger equation, discretized via the trapezoidal rule, and the inverse problem is formulated as a constrained least-squares minimization. The discretized system is efficiently solved using sparse matrix techniques and regularization strategies. Numerical experiments demonstrate the robustness of the …

Discrete Fractional Gompertz Models, Rebecca Oduro

Theses, Dissertations and Capstones

This thesis explores the theory and application of discrete fractional Gompertz models—systems that integrate fractional difference operators into the classical Gompertz growth paradigm. By doing so, these models capture both discrete time steps and the long-range memory effects characteristic of fractional calculus. After outlining the fundamental notions of discrete calculus, discrete fractional sums and differences, and related special functions such as the discrete Mittag–Leffler function, we derive various fractional Gompertz-type equations. We prove the existence and uniqueness of solutions to these fractional difference equations, often employing discrete analogues of standard solution methods like variation of constants. We also investigate the …

Bounded Point Derivations On Roadrunner Sets, Evan Abshire

Theses, Dissertations and Capstones

This paper is concerned primarily with a type of subset of the complex plane known as a Roadrunner set, and its admittance of a bounded point derivation with respect to a given norm on the complex plane. The four norms we are concerned with are the Uniform norm, Lipschitz norm, L^p norm, and Campanato semi-norm. The purpose of this thesis is to provide researchers in approximation theory with more tools for them to accomplish their goals such as the proof of theorems regarding generalized derivatives. A connection has historically been established between the existence of bounded point derivations and …

On 2-Primitive Triangle Decompositions Of Cocktail Party Graphs, Ian P. Waddell

Theses, Dissertations and Capstones

A decomposition of a graph Γ is a collection C of subgraphs, perhaps nonisomorphic, that partition the edges of Γ. Analogously, consider a group of truck drivers whose non-overlapping routes jointly cover all of the roads between a set of cities; that is, each road is traversed by precisely one driver. In this scenario, the cities are the vertices of the graph, the roads are the edges between vertices, and the drivers’ routes are the subgraphs in the decomposition. Given a graph H, we call C an H-decomposition of Γ if each subgraph in C is isomorphic to …

Sensitivity Analysis Of Wolf Restoration In Yellowstone Nation Park Using Omnivory Models, Derek Fields

Theses, Dissertations and Capstones

In the ever-changing world of ecology, species survival often depends on approximations and measurements taken by biologists. These approximations help to ensure and predict the future of that given species. Our ecological community of interest involves wolves, elk, and berry producing shrubs within Yellowstone National Park. We use two different systems of ordinary differential equations, each increasing in complexity to model our community. In each model the predator (wolves) and consumers (elk) compete for a common resource, berry producing shrubs. We call this consumption of resources, from more than one trophic level, omnivory. We approximate each system with parameter values …

Solutions To Dynamic Equations On Varying Times Scales, Sher B. Chhetri

Theses, Dissertations and Capstones

Note: The mathematical symbols could not be represented. See the abstract in the thesis for complete text.

The Dynamics Of Newton's Method On Cubic Polynomials, Shannon N. Miller

Theses, Dissertations and Capstones

The field of dynamics is itself a huge part of many branches of science, including the motion of the planets and galaxies, changing weather patterns, and the growth and decline of populations. Consider a function f and pick x0 in the domain of f . If we iterate this function around the point x0, then we will have the sequence x0, f (x0), f (f (x0)), f (f (f (x0))), ..., which becomes our dynamical system. We are essentially interested in the end behavior of this system. Do …

Convergence Analysis Of Mcmc Method In The Study Of Genetic Linkage With Missing Data, Diana Fisher

Theses, Dissertations and Capstones

Computational infeasibility of exact methods for solving genetic linkage analysis problems has led to the development of a new collection of stochastic methods, all of which require the use of Markov chains. The purpose of this work is to investigate the complexities of missing data in pedigree analysis using the Monte Carlo Markov Chain (MCMC) method as compared to the exact results. Also, we attempt to determine an association between missing data in a familial pedigree and the convergence to stationarity of a descent graph Markov chain implemented in the stochastic method for parametric linkage analysis.

In particular, we will …