English

Energy dissipation law and maximum bound principle-preserving linear BDF2 schemes with variable steps for the Allen-Cahn equation

Numerical Analysis 2025-10-22 v2 Numerical Analysis

Abstract

In this paper, we propose and analyze a linear, structure-preserving scalar auxiliary variable (SAV) method for solving the Allen--Cahn equation based on the second-order backward differentiation formula (BDF2) with variable time steps. To this end, we first design a novel and essential auxiliary functional that serves twofold functions: (i) ensuring that a first-order approximation to the auxiliary variable, which is essentially important for deriving the unconditional energy dissipation law, does not affect the second-order temporal accuracy of the phase function ϕ\phi; and (ii) allowing us to develop effective stabilization terms that are helpful to establish the MBP-preserving linear methods. Together with this novel functional and standard central difference stencil, we then propose a linear, second-order variable-step BDF2 type stabilized exponential SAV scheme, namely BDF2-sESAV-I, which is shown to preserve both the discrete modified energy dissipation law under the temporal stepsize ratio 0<rk:=τk/τk1<4.864δ 0 < r_{k} := \tau_{k}/\tau_{k-1} < 4.864 - \delta with a positive constant δ\delta and the MBP under 0<rk<1+2 0 < r_{k} < 1 + \sqrt{2} . Moreover, an analysis of the approximation to the original energy by the modified one is presented. With the help of the kernel recombination technique, optimal H1 H^{1}- and L L^{\infty}-norm error estimates of the variable-step BDF2-sESAV-I scheme are rigorously established. Numerical examples are carried out to verify the theoretical results and demonstrate the effectiveness and efficiency of the proposed scheme.

Keywords

Cite

@article{arxiv.2502.04616,
  title  = {Energy dissipation law and maximum bound principle-preserving linear BDF2 schemes with variable steps for the Allen-Cahn equation},
  author = {Bingyin Zhang and Hongfei Fu and Rihui Lan and Shusen Xie},
  journal= {arXiv preprint arXiv:2502.04616},
  year   = {2025}
}

Comments

32 pages,31 figures