|Appears in Collections:||Computing Science and Mathematics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Net reproduction functions for nonlinear structured population models|
|Author(s):||Farkas, Jozsef Zoltan|
|Keywords:||Physiologically structured populations|
net reproduction function
|Citation:||Farkas JZ (2018) Net reproduction functions for nonlinear structured population models. Mathematical Modelling of Natural Phenomena, 13 (3), Art. No.: 32. https://doi.org/10.1051/mmnp/2018036|
|Abstract:||The goal of this note is to present a general approach to define the net reproduction function for a large class of nonlinear physiologically structured population models. In particular, we are going to show that this can be achieved in a natural way by reformulating a nonlinear problem as a family of linear ones; each of the linear problems describing the evolution of the population in a different, but constant environment. The reformulation of a nonlinear population model as a family of linear ones is a new approach, and provides an elegant way to study qualitative questions, for example the existence of positive steady states. To define the net reproduction number for any fixed (constant) environment, i.e. for the linear models, we use a fairly recent spectral theoretic result, which characterizes the connection between the spectral bound of an unbounded operator and the spectral radius of a corresponding bounded operator. For nonlinear models, varying the environment naturally leads to a net reproduction function.|
|Rights:||This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Publisher policy allows this work to be made available in this repository. Published in Mathematical Modelling of Natural Phenomena, 13.3 (2018) 32 by EDP Scienes. The original publication is available at www.mmnp-journal.org. DOI: https://doi.org/10.1051/mmnp/2018036|
|netrep-Feb2018.pdf||Fulltext - Accepted Version||293.35 kB||Adobe PDF||View/Open|
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