Convergence analysis of Strang splitting for Vlasov-type equations
arXiv:1207.2090 · doi:10.1137/130918599
Abstract
A rigorous convergence analysis of the Strang splitting algorithm for Vlasov-type equations in the setting of abstract evolution equations is provided. It is shown that under suitable assumptions the convergence is of second order in the time step τ. As an example, it is verified that the Vlasov-Poisson equation in 1+1 dimensions fits into the framework of this analysis. Also, numerical experiments for the latter case are presented.
submitted to the SIAM Journal on Numerical Analysis
Cited by in corpus (18)
- Vlasov methods in space physics and astrophysics
- A structure-preserving, operator splitting scheme for reaction-diffusion equations with detailed balance
- A comparison of semi-Lagrangian discontinuous Galerkin and spline based Vlasov solvers in four dimensions
- Convergence analysis of a discontinuous Galerkin/Strang splitting approximation for the Vlasov--Poisson equations
- Exponential methods for solving hyperbolic problems with application to kinetic equations
- An almost symmetric Strang splitting scheme for nonlinear evolution equations
- Kinetic theory for a simple modeling of phase transition: Dynamics out of local equilibrium
- An exponential integrator for the drift-kinetic model
- A study on conserving invariants of the Vlasov equation in semi-Lagrangian computer simulations
- A comparison of boundary correction methods for Strang splitting
- ADI type preconditioners for the steady state inhomogeneous Vlasov equation
- On the error propagation of semi-Lagrange and Fourier methods for advection problems
- High-order Hamiltonian splitting for Vlasov-Poisson equations
- Runge-Kutta time semidiscretizations of semilinear PDEs with non-smooth data
- Convergence of splitting methods on rotating grids for the magnetized Vlasov equation
- On numerical Landau damping for splitting methods applied to the Vlasov-HMF model
- A dynamic domain semi-Lagrangian method for stochastic Vlasov equations
- Semi-Lagrangian 4d, 5d, and 6d kinetic plasma simulation on large scale GPU equipped supercomputer