The dynamics of front propagation in nonlocal reaction-diffusion equations
| Autor: | Roquejoffre, Jean-Michel |
|---|---|
| Rok vydání: | 2022 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | The question addressed here is the long time evolution of the solutions to a class of one-dimensional reaction-diffusion equations, in which the diffusion is given by an integral operator. The underlying motivation, discussed in the first chapter, is the mathematical analysis of models for biological invasions. The model under study, while simple looking, is of current use in real life situations. Interestingly, it arises in totally different contexts, such as the study of branching random walks in probability theory. While the model under study has attracted a lot of attention, and while many partial results about the time asymptotic behaviour of its solutions have been proved over the last decades, some basic questions on the sharp asymptotics have remained unanswered. One ambition of this monograph is to close these gaps and to provide a complete and unified treatment of the equation. In some of the situations that we envisage, the level sets organise themselves into an invasion front that is asymptotically linear in time, up to a correction that converges exponentially in time to a constant. In other situations, that constitute the main and newest part of the work, the correction is asymptotically logarithmic in time. Despite these apparent different behaviours, there is an underlying common way of thinking in the study of all these situations. The ideas presented in the book apply to more elaborate systems modelling biological invasions or the spatial propagation of epidemics. The models themselves may be multidimensional, but they all have in common a mechanism imposing the propagation in a given direction; examples are presented the problems that conclude each chapter. These ideas should also be useful in the treatment of further models that we are not able envisage at the time being. Comment: The previous version is now a part a larger book project, that grew out of a series of lectures given in the fall 2021. In the process, typos and mistakes have been corrected, and new results have been added |
| Databáze: | arXiv |
| Externí odkaz: |
|