A discrete variational derivative method for the Cahn–Hilliard equation with high-order spatial accuracy

We consider finite difference schemes for the Cahn–Hilliard equation, which describes spinodal decomposition. For this equation, stable numerical schemes can be designed by the discrete variational derivative method, but their spatial accuracy remained second-order, and it was difficult to improve under the standard boundary conditions. In this letter, we show that the discrete variational derivative method can be extended via the idea of summation-by-parts operators, by which we can construct spatially high-order schemes retaining the desired dissipation property. We also show numerical experiments to confirm the higher-order accuracy.

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Publication Details

Journal
JSIAM Letters
Published
2025-01-01
DOI
https://doi.org/10.14495/jsiaml.17.41
Primary Topic
Solidification and crystal growth phenomena
Type
article
Field-Weighted Citation Impact
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article

A discrete variational derivative method for the Cahn–Hilliard equation with high-order spatial accuracy

Shun Sato, Kenichiro Umezu, Takayasu Matsuo
JSIAM Letters
Solidification and crystal growth phenomena
article

A discrete variational derivative method for the Cahn–Hilliard equation with high-order spatial accuracy

Shun Sato, Kenichiro Umezu, Takayasu Matsuo
article en

Abstract

We consider finite difference schemes for the Cahn–Hilliard equation, which describes spinodal decomposition. For this equation, stable numerical schemes can be designed by the discrete variational derivative method, but their spatial accuracy remained second-order, and it was difficult to improve under the standard boundary conditions. In this letter, we show that the discrete variational derivative method can be extended via the idea of summation-by-parts operators, by which we can construct spatially high-order schemes retaining the desired dissipation property. We also show numerical experiments to confirm the higher-order accuracy.

JSIAM LettersVol. 17(0)
The University of Tokyo (JP)
Openalex Percentile: Top 93%
Solidification and crystal growth phenomena
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