Analysis of differential-delay equations for biology

Ezeofor, Victory S. (2017) Analysis of differential-delay equations for biology. PhD thesis, University of Nottingham.

[thumbnail of thesisthesis7b.pdf] PDF (Thesis - as examined) - Repository staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (6MB)

Abstract

In this thesis, we investigate the role of time delay in several differential-delay equation focusing on the negative autogenous regulation. We study these models for little or no delay to when the model has a very large delay parameter.

We start with the logistic differential-delay equation applying techniques that would be used in subsequent chapters for other models being studied. A key goal of this research is to identify where the structure of the system does change.

First, we investigate these models for critical point and study their behaviour close to these points. Of keen interest is the Hopf bifurcation points where we analyse the parameter associated with the Hopf point. The weakly nonlinear analysis carried out using the method of multiple time scale is used to give more insight to these model. The centre manifold method is shown to support the result derived using the multiple time scale.

Then the second study carried out is the study of the transition from a sinelike wave to a square wave. This is analysed and a scale deduced at which this transition gradually takes place. One of the key areas we focused on in the large delay is to solve for a certain constant a' associated with the period of oscillation.

The effect of the delayed parameter is shown throughout this thesis as a major contributor to the properties of both the logistic delay and the negative autogenous regulation.

Item Type: Thesis (University of Nottingham only) (PhD)
Supervisors: King, John R.
Thul, Ruediger
Keywords: differential-delay equation, Hopf bifurcation, square wave, weakly nonlinear analysis, method of multiple timescale, logistic model, negative autogenous regulation.
Subjects: Q Science > QA Mathematics > QA299 Analysis
Faculties/Schools: UK Campuses > Faculty of Science > School of Mathematical Sciences
Item ID: 39940
Depositing User: EZEOFOR, VICTORY
Date Deposited: 12 Jul 2017 04:40
Last Modified: 19 Oct 2017 23:26
URI: https://eprints.nottingham.ac.uk/id/eprint/39940

Actions (Archive Staff Only)

Edit View Edit View