Stability of Some Models in Mathematical Biology
Lately there has been an increasing awareness of the adverse side effect from the use of pesticides on the environment and on human health. As an alternative solution attention has been directed to the so-called "Biological Control" where pests are removed from the environment by the us...
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| Format: | Thesis |
| Language: | English English |
| Published: |
1998
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/9454/ http://psasir.upm.edu.my/id/eprint/9454/1/FSAS_1998_40_A.pdf |
| _version_ | 1848841150294654976 |
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| author | Aldaikh, Abdalsalam B. H. |
| author_facet | Aldaikh, Abdalsalam B. H. |
| author_sort | Aldaikh, Abdalsalam B. H. |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Lately there has been an increasing awareness of the adverse side effect from
the use of pesticides on the environment and on human health. As an alternative
solution attention has been directed to the so-called "Biological Control" where pests
are removed from the environment by the use of another living but harmless
organism.
A detailed study of biological control requires a clear understanding on the
types of interaction between the species involved. We have to know exactly the
conditions under which the various species achieve stability and live in coexistence.
It is here that mathematics can contribute in understanding and solving the problem.
A number of models for single species are presented as an introduction to the
study of two species interaction. Specifically the following interactions are studied: -Competition
-Predation
-Symbiosis.
All the above interactions are modelled based on ordinary differential
equations. But such models ignore many complicating factors. The presence of
delays is one such factor. In the usual models it is tacitly assumed that the
coefficients of change for a given species depend only on the instantaneous
conditions.
However biological processes are not temporally isolated, and the past
influences the present and the future. In the real world the growth rate of a species
does not respond immediately to changes in the population of interacting species, but
rather will do so after a time lag. This concept should be taken into account, and this
leads to the study of delay differential equations. However the mathematics required
for the detailed analysis of the behaviour of such a model can be formidable,
especially for biologists who share the subject. By the aid of computer and using
Mathematica software (version 3.0), the main properties of the solutions of many
models related to the various interactions can be clarified. |
| first_indexed | 2025-11-15T07:38:40Z |
| format | Thesis |
| id | upm-9454 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T07:38:40Z |
| publishDate | 1998 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-94542013-09-25T07:29:28Z http://psasir.upm.edu.my/id/eprint/9454/ Stability of Some Models in Mathematical Biology Aldaikh, Abdalsalam B. H. Lately there has been an increasing awareness of the adverse side effect from the use of pesticides on the environment and on human health. As an alternative solution attention has been directed to the so-called "Biological Control" where pests are removed from the environment by the use of another living but harmless organism. A detailed study of biological control requires a clear understanding on the types of interaction between the species involved. We have to know exactly the conditions under which the various species achieve stability and live in coexistence. It is here that mathematics can contribute in understanding and solving the problem. A number of models for single species are presented as an introduction to the study of two species interaction. Specifically the following interactions are studied: -Competition -Predation -Symbiosis. All the above interactions are modelled based on ordinary differential equations. But such models ignore many complicating factors. The presence of delays is one such factor. In the usual models it is tacitly assumed that the coefficients of change for a given species depend only on the instantaneous conditions. However biological processes are not temporally isolated, and the past influences the present and the future. In the real world the growth rate of a species does not respond immediately to changes in the population of interacting species, but rather will do so after a time lag. This concept should be taken into account, and this leads to the study of delay differential equations. However the mathematics required for the detailed analysis of the behaviour of such a model can be formidable, especially for biologists who share the subject. By the aid of computer and using Mathematica software (version 3.0), the main properties of the solutions of many models related to the various interactions can be clarified. 1998-12 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/9454/1/FSAS_1998_40_A.pdf Aldaikh, Abdalsalam B. H. (1998) Stability of Some Models in Mathematical Biology. Masters thesis, Universiti Putra Malaysia. Biology - Mathematical models Biomathematics Biological pest control agents English |
| spellingShingle | Biology - Mathematical models Biomathematics Biological pest control agents Aldaikh, Abdalsalam B. H. Stability of Some Models in Mathematical Biology |
| title | Stability of Some Models in Mathematical Biology |
| title_full | Stability of Some Models in Mathematical Biology |
| title_fullStr | Stability of Some Models in Mathematical Biology |
| title_full_unstemmed | Stability of Some Models in Mathematical Biology |
| title_short | Stability of Some Models in Mathematical Biology |
| title_sort | stability of some models in mathematical biology |
| topic | Biology - Mathematical models Biomathematics Biological pest control agents |
| url | http://psasir.upm.edu.my/id/eprint/9454/ http://psasir.upm.edu.my/id/eprint/9454/1/FSAS_1998_40_A.pdf |