Math. Model. Nat. Phenom.
Volume 1, Number 1, 2006Population dynamics
|Page(s)||98 - 119|
|Published online||15 May 2008|
Dynamics of Propagation Phenomena in Biological Pattern Formation
Institute of Mathematics "O. Mayer", Romanian
Academy, 700505 Iaşi, Romania
2 Institute of Applied Mathematics and Mechanics Warsaw University, 02-097 Warsaw, Poland
3 Departamento de Matemática Aplicada, Facultad de Matemáticas Universidad Complutense, 28040 Madrid, Spain
Corresponding author: email@example.com
A large variety of complex spatio-temporal patterns emerge from the processes occurring in biological systems, one of them being the result of propagating phenomena. This wave-like structures can be modelled via reaction-diffusion equations. If a solution of a reaction-diffusion equation represents a travelling wave, the shape of the solution will be the same at all time and the speed of propagation of this shape will be a constant. Travelling wave solutions of reaction-diffusion systems have been extensively studied by several authors from experimental, numerical and analytical points-of-view. In this paper we focus on two reaction-diffusion models for the dynamics of the travelling waves appearing during the process of the cells aggregation. Using singular perturbation methods to study the structure of solutions, we can derive analytic formulae (like for the wave speed, for example) in terms of the different biochemical constants that appear in the models. The goal is to point out if the models can describe in quantitative manner the experimental observations.
Mathematics Subject Classification: 35B25 / 35K57 / 92C37
Key words: reaction-diffusion systems / travelling waves / singular perturbation methods
© EDP Sciences, 2006
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.