DIMENSIONAL REDUCTION OF A MULTISCALE MODEL BASED ON LONG TIME ASYMPTOTICS

摘要

We consider a class of kinetic models for which a moment equation has a natural interpretation. We show that, depending on their velocity field, some models lead to moment equations that enable one to compute monokinetic solutions economically. We detail the example of a multiscale structured cell population model, consisting of a system of two-dimensional (2D) transport equations. The reduced model, a system of one-dimensional (1D) transport equations, is obtained by computing the moments of the 2D model with respect to one variable. The 1D solution is de fined from the solution of the 2D model starting from an initial condition that is a Dirac mass in the direction removed by reduction. For arbitrary initial conditions, we compare 1D and 2D model solutions in asymptotically large time. Finite volume numerical approximations of the 1D reduced model can be used to compute the moments of the 2D solution with proper accuracy. The numerical robustness is studied in the scalar case, and a full scale vector case is presented.