On Strong Stability of Explicit Runge-Kutta Methods for Nonlinear Semibounded Operators
arXiv:1811.11601 · doi:10.1093/imanum/drz070
Abstract
Explicit Runge-Kutta methods are classical and widespread techniques in the numerical solution of ordinary differential equations (ODEs). Considering partial differential equations, spatial semidiscretisations can be used to obtain systems of ODEs that are solved subsequently, resulting in fully discrete schemes. However, certain stability investigations of high-order methods for hyperbolic conservation laws are often conducted only for the semidiscrete versions. Here, strong stability (also known as monotonicity) of explicit Runge-Kutta methods for ODEs with nonlinear and semibounded (also known as dissipative) operators is investigated. Contrary to the linear case, it is proven that many strong stability preserving (SSP) schemes of order two or greater are not strongly stable for general smooth and semibounded nonlinear operators. Additionally, it is shown that there are first order accurate explicit SSP Runge-Kutta methods that are strongly stable (monotone) for semibounded (dissipative) and Lipschitz continuous operators.
References in corpus (2)
Cited by in corpus (13)
- General Relaxation Methods for Initial-Value Problems with Application to Multistep Schemes
- Reinterpretation and Extension of Entropy Correction Terms for Residual Distribution and Discontinuous Galerkin Schemes: Application to Structure Preserving Discretization
- Relaxation Runge-Kutta Methods for Hamiltonian Problems
- Fully-Discrete Explicit Locally Entropy-Stable Schemes for the Compressible Euler and Navier-Stokes Equations
- Preventing pressure oscillations does not fix local linear stability issues of entropy-based split-form high-order schemes
- Issues with Positivity-Preserving Patankar-type Schemes
- Enforcing strong stability of explicit Runge--Kutta methods with superviscosity
- Structure-preserving approximations of the Serre-Green-Naghdi equations in standard and hyperbolic form
- Functional-preserving predictor-corrector multiderivative schemes
- A New Class of Stable Summation by Parts Time Integration Schemes with Strong Initial Conditions
- Structure-Preserving Numerical Methods for Two Nonlinear Systems of Dispersive Wave Equations
- Multiderivative time integration methods preserving nonlinear functionals via relaxation
- Pseudo-Energy-Preserving Explicit Runge-Kutta Methods