Error estimates for splitting methods based on AMF-Runge-Kutta formulas for the time integration of advection diffusion reaction PDEs
Provides theoretical convergence guarantees for a class of efficient splitting methods, benefiting researchers solving time-dependent PDEs with complex dynamics.
The paper derives uniform global error bounds for AMF-Runge-Kutta methods applied to advection-diffusion-reaction PDEs, showing competitive performance compared to existing methods for multidimensional nonlinear parabolic problems.
The convergence of a family of AMF-Runge-Kutta methods (in short AMF-RK) for the time integration of evolutionary Partial Differential Equations (PDEs) of Advection Diffusion Reaction type semi-discretized in space is considered. The methods are based on very few inexact Newton Iterations of Aproximate Matrix Factorization splitting-type (AMF) applied to the Implicit Runge-Kutta formulas, which allows very cheap and inexact implementations of the underlying Runge-Kutta formula. Particular AMF-RK methods based on Radau IIA formulas are considered. These methods have given very competitive results when compared with important formulas in the literature for multidimensional systems of non-linear parabolic PDE problems. Uniform bounds for the global time-space errors on semi-linear PDEs when simultaneously the time step-size and the spatial grid resolution tend to zero are derived. Numerical illustrations supporting the theory are presented.