Abstract
The stochastic two-dimensional KdV equation arises as a mathematical model for shallow water wave dynamics in physical systems. To efficiently handle the equation’s high-order spatial derivatives and stochastic terms, a local discontinuous Galerkin method is proposed. The method is proved to be L 2 -stable and to achieve the optimal mean-square convergence rate of order N + 1 when degree- N polynomials are used. For temporal discretization, the implicit midpoint method is applied, and the restarted Generalized Minimum Residual method is employed to solve the resulting linear systems in two-dimensional simulations. Numerical experiments demonstrate optimal convergence rates and confirm both the theoretical analysis and the effectiveness of the method.
| Original language | English |
|---|---|
| Pages (from-to) | 310-328 |
| Number of pages | 19 |
| Journal | Applied Numerical Mathematics |
| Volume | 220 |
| DOIs | |
| State | Published - Feb 2026 |
| Externally published | Yes |
Keywords
- Convergence
- L2-stability
- Local discontinuous Galerkin method
- Restarted generalized minimum residual method
- Stochastic two-dimensional KdV equation
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