Finite difference approximations for a size-structured population model with distributed states in the recruitment

J Biol Dyn. 2015:9 Suppl 1:2-31. doi: 10.1080/17513758.2014.923117. Epub 2014 Jun 3.

Abstract

We consider a size-structured population model where individuals may be recruited into the population at different sizes. First- and second-order finite difference schemes are developed to approximate the solution of the model. The convergence of the approximations to a unique weak solution is proved. We then show that as the distribution of the new recruits become concentrated at the smallest size, the weak solution of the distributed states-at-birth model converges to the weak solution of the classical Gurtin-McCamy-type size-structured model in the weak* topology. Numerical simulations are provided to demonstrate the achievement of the desired accuracy of the two methods for smooth solutions as well as the superior performance of the second-order method in resolving solution-discontinuities. Finally, we provide an example where supercritical Hopf-bifurcation occurs in the limiting single state-at-birth model and we apply the second-order numerical scheme to show that such bifurcation also occurs in the distributed model.

Keywords: continuous structured population models; convergence theory; distributed states-at-birth; existence and uniqueness of solutions; finite difference approximations.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Computer Simulation
  • Humans
  • Models, Biological*
  • Numerical Analysis, Computer-Assisted
  • Population Density
  • Population Dynamics*
  • Reproducibility of Results