A Randomized Runge-Kutta Method for time-irregular delay differential equations
Fabio V. Difonzo, Paweł Przybyłowicz, Yue Wu, Xinheng Xie
TL;DR
The paper tackles time-irregular delay differential equations where the right-hand side is Lipschitz in the state but Hölder in time and delay arguments. It introduces a randomized two-stage Runge-Kutta scheme (ARRK) tailored to Carathéodory-type DDEs, establishes existence/uniqueness of solutions, and proves an $L^p$-error bound of the form $\|\max_{0\le i\le N}|x(t_i^j)-y_i^j|\|_p \le C_{p,j} h^{\alpha^j\rho}$ with $\rho=\tfrac12+\min\{\gamma,\alpha\}$. The numerical experiments demonstrate that ARRK outperforms randomized Euler in accuracy for small step sizes, justifying the additional cost of the intermediate computations, and the results corroborate the theoretical convergence behavior across varied parameters. Overall, the work provides a rigorous, implementable framework for solving Carathéodory DDEs with time-irregular delays, expanding the toolbox of numerical methods for such systems.
Abstract
In this paper we investigate the existence, uniqueness and approximation of solutions of delay differential equations (DDEs) with the right-hand side functions $f=f(t,x,z)$ that are Lipschitz continuous with respect to $x$ but only Hölder continuous with respect to $(t,z)$. We give a construction of the randomized two-stage Runge-Kutta scheme for DDEs and investigate its upper error bound in the $L^p(Ω)$-norm for $p\in [2,+\infty)$. Finally, we report on results of numerical experiments.
