Error estimates of time-splitting schemes for nonlinear Klein--Gordon equation with rough data
Lun Ji, Xiaofei Zhao
TL;DR
This work analyzes the convergence of Lie-Trotter and Strang time-splitting schemes for the nonlinear Klein-Gordon equation on the torus with rough data. It develops a two-pronged framework: Sobolev-space analysis for $s>\tfrac12$ and a discrete Bourgain-space approach for very rough data with $s\in(\tfrac{11}{40},\tfrac{51}{40}]$, including a projection $\Pi_\tau$ to control high-frequency components. The authors prove optimal temporal-error bounds in Sobolev spaces, and establish corresponding global error estimates in the Bourgain regime via discrete Bourgain multilinear estimates, complemented by nonlinear-estimate generalizations and numerical verifications. The results demonstrate sharp convergence orders for both Lie and Strang splitting under low regularity and introduce a discrete Bourgain machinery applicable to general second-order wave models, with practical implications for reliable simulations of dispersive PDEs with rough initial data.
Abstract
In this work, we consider the convergence analysis of time-splitting schemes for the nonlinear Klein--Gordon/wave equation under rough initial data. The optimal error bounds of the Lie splitting and the Strang splitting are established with sharp dependence on the regularity index of the solution from a wide range that is approaching the lower bound for well-posedness. Particularly for very rough data, the technique of discrete Bourgain space is utilized and developed, which can apply for general second-order wave models. Numerical verifications are provided.
