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arXiv · 2506.22664

Hybrid Explicit-Implicit Predictor-Corrector Exponential Time-Differencing Multistep Padé Schemes for Semilinear Parabolic Equations with Time-Delay

Haishen Dai·Huan Lei
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Abstract

In this paper, we propose and analyze ETD-Multistep-Padé (ETD-MS-Padé) and ETD Implicit Multistep-Padé (ETD-IMS-Padé) for semilinear parabolic delay differential equations with smooth solutions. In our previous work [15], we proposed ETD-RK-Padé scheme to compute high-order numerical solutions for nonlinear parabolic reaction-diffusion equation with constant time delay. However, the based ETD-RK numerical scheme in [15] is very complex and the corresponding calculation program is also very complicated. We propose in this paper ETD-MS-Padé and ETD-IMS-Padé schemes for the solution of semilinear parabolic equations with delay. We synergize the ETD-MS-Padé with ETD-IMS-Padé to construct efficient predictor-corrector scheme. This new predictor-corrector scheme will become an important tool for solving the numerical solutions of parabolic differential equations. Remarkably, we also conducted experiments in Table$10$ to compare the numerical results of the predictor-corrector scheme with the EERK scheme proposed in paper [42]. The predictor-corrector scheme demonstrated better convergence. The main idea is to employ an ETD-based Adams multistep extrapolation for the time integration of the corresponding equation. To overcome the well-known numerical instability associated with computing the exponential operator, we utilize the Padé approach to approximate this exponential operator. This methodology leads to the development of the ETD-MS-Padé and ETD-IMS-Padé schemes, applicable even for arbitrary time orders. We validate the ETD-MS1,2,3,4-Padé schemes and ETD-IMS2,3,4 schemes through numerical experiments.

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Haishen Dai, Huan Lei. 2025-07-01. Hybrid Explicit-Implicit Predictor-Corrector Exponential Time-Differencing Multistep Padé Schemes for Semilinear Parabolic Equations with Time-Delay. https://arxiv.org/abs/2506.22664

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