@Article{AAMM-13-6,
author = {Qing, Cheng and Wang, Cheng},
title = {Error Estimate of a Second Order Accurate Scalar Auxiliary Variable (SAV) Numerical Method for the Epitaxial Thin Film Equation},
journal = {Advances in Applied Mathematics and Mechanics},
year = {2021},
volume = {13},
number = {6},
pages = {1318--1354},
abstract = {<p style="text-align: justify;">A second order accurate (in time) numerical scheme is analyzed for the slope-selection (SS) equation of the epitaxial thin film growth model, with Fourier pseudo-spectral discretization in space. To make the numerical scheme linear while preserving the nonlinear energy stability, we make use of the scalar auxiliary variable (SAV) approach, in which a modified Crank-Nicolson is applied for the surface diffusion part. The energy stability could be derived a modified form, in comparison with the standard Crank-Nicolson approximation to the surface diffusion term. Such an energy stability leads to an $H^2$ bound for the numerical solution. In addition, this $H^2$ bound is not sufficient for the optimal rate convergence analysis, and we establish a uniform-in-time $H^3$ bound for the numerical solution, based on the higher order Sobolev norm estimate, combined with repeated applications of discrete Hölder inequality and nonlinear embeddings in the Fourier pseudo-spectral space. This discrete $H^3$ bound for the numerical solution enables us to derive the optimal rate error estimate for this alternate SAV method. A few numerical experiments are also presented, which confirm the efficiency and accuracy of the proposed scheme.</p>},
issn = {2075-1354},
doi = {https://doi.org/10.4208/aamm.OA-2020-0297},
url = {https://global-sci.com/article/73011/error-estimate-of-a-second-order-accurate-scalar-auxiliary-variable-sav-numerical-method-for-the-epitaxial-thin-film-equation}
}