Nonsmooth data error estimates for exponential Runge-Kutta methods and applications to split exponential integrators

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Authors: Qiumei Huang, Alexander Ostermann, Gangfan Zhong
Cited by: 0
References: 23

Abstract

We derive rigorous error bounds for exponential Runge-Kutta discretizations of parabolic equations with nonsmooth initial data. Our analysis is carried out in the framework of abstract semi-linear evolution equations, allowing for operators with non-dense domains. The results provide a foundation for establishing error estimates for nonsmooth data in prototypical problems such as the Allen-Cahn and Burgers equations. Furthermore, we apply these estimates to the analysis of split exponential integrators, yielding convergence results expressed explicitly in terms of the prescribed data.

Fields of Study & Subjects

Numerical methods for differential equations Advanced Numerical Methods in Computational Mathematics Model Reduction and Neural Networks

Publication details

Journal / source
ESAIM Mathematical Modelling and Numerical Analysis
Volume
60
Issue
2
Pages
495–515
Publication date
27 January 2026
Language
EN