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A variable time step method for an age-dependent population model with nonlinear diffusion
Journal article   Peer reviewed

A variable time step method for an age-dependent population model with nonlinear diffusion

Bruce Ayati
SIAM journal on numerical analysis, Vol.37(5), pp.1571-1589
2000
DOI: 10.1137/S003614299733010X

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Abstract

We propose a method for solving a model of age-dependent population diffusion with random dispersal. This method, unlike previous methods, allows for variable time steps and independent age and time discretizations. We use a moving age discretization that transforms the problem to a coupled system of parabolic equations. The system is then solved by backward differences in time and a Galerkin approximation in space; the equations that need to be solved at each step treat each age group separately. A priori L2error estimates are obtained by an energy analysis. These estimates are superconvergent in the age variable. We present a postprocessing technique which capitalizes on the superconvergence.

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