22–25 May 2023
Europe/London timezone

Error estimates for the scalar auxiliary variable (SAV) scheme to the Cahn-Hilliard equation

25 May 2023, 10:45
1h 30m
Poster Presentation (MS07) Mathematical and numerical methods for multi-scale multi-physics, nonlinear coupled processes Poster

Speaker

Prof. Weifeng Qiu (City University of Hong Kong)

Description

The optimal error estimate that depending only on the polynomial degree of ε^{-1} is established for the temporal semi-discrete scheme of the Cahn-Hilliard equation, which is based on the scalar auxiliary variable (SAV) formulation. The key to our analysis is to convert the structure of the SAV time-stepping scheme back to a form compatible with the original format of the Cahn-Hilliard equation, which makes it feasible to use spectral estimates to handle the nonlinear term. Based on the transformation of the SAV numerical scheme, the optimal error estimate for the temporal semi-discrete scheme which depends only on the low polynomial order of ε^{−1} instead of the exponential order, is derived by using mathematical induction, spectral arguments, and the superconvergence properties of some nonlinear terms. Numerical examples are provided to illustrate the discrete energy decay property and validate our theoretical convergence analysis.

Participation In-Person
Country China
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Primary authors

Dr Shu Ma (City University of Hong Kong) Prof. Weifeng Qiu (City University of Hong Kong) Prof. Xiaofeng Yang (University of South Carolina)

Presentation materials

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