The classical models for populations
structured by size have two features which may cause problems in
biologically realistic modeling approaches: the structure variable
always increases, and individuals in an age cohort that are
identical initially stay identical throughout their lives. Here a
diffusion term is introduced in the partial differential equation
which mathematically amounts to adding viscosity. This approach
solves both problems but it requires to identify appropriate
boundary (recruitment) conditions. The method is applied to
size-structured populations, metapopulations,
infectious diseases, and vector-transmitted diseases.
Citation: Karl Peter Hadeler. Structured populations with diffusion in state space[J]. Mathematical Biosciences and Engineering, 2010, 7(1): 37-49. doi: 10.3934/mbe.2010.7.37
Abstract
The classical models for populations
structured by size have two features which may cause problems in
biologically realistic modeling approaches: the structure variable
always increases, and individuals in an age cohort that are
identical initially stay identical throughout their lives. Here a
diffusion term is introduced in the partial differential equation
which mathematically amounts to adding viscosity. This approach
solves both problems but it requires to identify appropriate
boundary (recruitment) conditions. The method is applied to
size-structured populations, metapopulations,
infectious diseases, and vector-transmitted diseases.