Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/2962
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Size-structured populations: immigration, (bi)stability and the net growth rate
Author(s): Farkas, Jozsef Zoltan
Contact Email: jzf@maths.stir.ac.uk
Keywords: Structured population dynamics
Population inflow
Bistability
Quasicontraction semigroups
Positivity
Spectral methods
Net growth rate
Population dynamics
Issue Date: Feb-2011
Date Deposited: 19-Apr-2011
Citation: Farkas JZ (2011) Size-structured populations: immigration, (bi)stability and the net growth rate. Journal of Applied Mathematics and Computing, 35 (40940), pp. 617-633. http://www.springerlink.com/content/1598-5865/; https://doi.org/10.1007/s12190-010-0382-y
Abstract: We consider a class of physiologically structured population models, a first order nonlinear partial differential equation equipped with a nonlocal boundary condition, with a constant external inflow of individuals. We prove that the linearised system is governed by a quasicontraction semigroup. We also establish that linear stability of equilibrium solutions is governed by a generalized net reproduction function. In a special case of the model ingredients we discuss the nonlinear dynamics of the system when the spectral bound of the linearised operator equals zero i.e. when linearisation does not decide stability. This allows us to demonstrate, through a concrete example, how immigration might be beneficial to the population. In particular, we show that from a nonlinearly unstable positive equilibrium a linearly stable and unstable pair of equilibria bifurcates. In fact, the linearised system exhibits bistability, for a certain range of values of the external inflow, induced potentially by Allee-effect.
URL: http://www.springerlink.com/content/1598-5865/
DOI Link: 10.1007/s12190-010-0382-y
Rights: Published in Journal of Applied Mathematics and Computing by Springer.; The final publication is available at www.springerlink.com

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