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The University of Western Ontario

Contraction Analysis of Functional Competitive Lotka-Volterra Systems: Understanding Competition Between Modified Bacteria and Plasmodium within Mosquitoes.

Abstract

dc:description.abstract

We propose and analyze an extension to the classic Competitive Lotka-Volterra (CLV) model. The goal is to model competition between species, with a response from the environment. This response is a function of the population of all species and can represent numerous physical phenomena including resource limitation and immune response of a host due to infection. We name this new system a Functional Competitive Lotka-Volterra (FCLV) model. We mainly use the construction of contraction metrics, to determine global properties of the model. We use this result to analyze the competition between Plasmodium sp. and genetically engineered bacteria within the midgut of a mosquito. We find that the effect of the immune response of the mosquito on invaders has a significant effect on whether Plasmodium or the genetically engineered bacteria dominates, but that under certain conditions the bacterium can eliminate the Plasmodium from the mosquito.

Degree

thesis:*
Name thesis:degree_name
M Sc
Discipline thesis:degree_discipline
Applied Mathematics
Grantor dc:publisher
The University of Western Ontario
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Goncharenko, Nickolas
Advisor dc:contributor.advisor
  • Xingfu Zou

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en_ca

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:uwo.scholaris.ca:20.500.14721/30052

Chain of custody

source
Harvested from
Western University
Base URL
uwo.scholaris.ca/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Goncharenko, Nickolas. Contraction Analysis of Functional Competitive Lotka-Volterra Systems: Understanding Competition Between Modified Bacteria and Plasmodium within Mosquitoes.. The University of Western Ontario, 2020. https://hdl.handle.net/20.500.14721/30052