Exponential Runge-Kutta methods are a well-established tool for the numerical integration of parabolic evolution equations. However, these schemes are typically developed under the assumption of homogeneous boundary conditions. In this paper, we extend classical convergence results to the case of non-homogeneous boundary conditions. Since non-homogeneous boundary conditions typically cause order reduction, we introduce a correction strategy based on smooth extensions of the boundary data. This results in a reformulation as a homogeneous problem with modified source term, to which standard exponential integrators can be applied. For linear problems, we prove that the corrected schemes recover the expected convergence order, and hat higher orders can be attained with suitable quadrature rules, reaching order $2s$ for s-stage Gauss collocation methods. For semilinear problems, our approach preserves the convergence orders guaranteed by exponential Runge-Kutta methods satisfying the corresponding stiff order conditions. Numerical experiments validate the theoretical findings.
翻译:指数Runge-Kutta方法是数值求解抛物型发展方程的成熟工具。然而,这类格式通常在齐次边界条件的假设下构建。本文中,我们将经典收敛结果推广至非齐次边界条件的情形。由于非齐次边界条件通常会导致阶数下降,我们提出一种基于边界数据光滑延拓的修正策略。该方法将原问题重构为具有修正源项的齐次问题,从而可应用标准指数积分器进行求解。对于线性问题,我们证明修正后的格式能够恢复预期的收敛阶数,且通过合适的求积规则可获得更高阶精度——s级高斯配置方法可达$2s$阶。对于半线性问题,本文方法能够保持满足相应刚性阶条件的指数Runge-Kutta方法所保证的收敛阶数。数值实验验证了理论结果。