2020/11/04 by Yong-Liang Zhao, Meng Li, Alexander Ostermann +1
Computer Science · Engineering · Materials Science · Mathematics · #Advanced Numerical Methods in Computational Mathematics #Block (permutation group theory) #Block Copolymer Self-Assembly #Convergence (economics) #Energy (signal processing) #Krylov subspace #Matrix (chemical analysis) #Scheme (mathematics) #Solidification and crystal growth phenomena #Space (punctuation) #Stability (learning theory) #Subspace topology #cs.NA #math.NA
paper · pdf · doi:10.1007/s10543-021-00843-6
published as BIT Numerical Mathematics, 2021 · 26 pages, 5 tables, 4 figures
arxiv created 2020/11/04 · openalex created_date 2020/11/09 · openalex publication_date 2021/02/26 · arxiv updated 2021/05/13 · openalex updated_date 2026/08/05
The space fractional Cahn-Hilliard phase-field model is more adequate and accurate in the description of the formation and phase change mechanism than the classical Cahn-Hilliard model. In this article, we propose a temporal second-order energy stable scheme for the space fractional Cahn-Hilliard model. The scheme is based on the second-order backward differentiation formula in time and a finite difference method in space. Energy stability and convergence of the scheme are analyzed, and the optimal convergence orders in time and space are illustrated numerically. Note that the coefficient matrix of the scheme is a 2 × 2 block matrix with a Toeplitz-like structure in each block. Combining the advantages of this special structure with a Krylov subspace method, a preconditioning technique is designed to solve the system efficiently. Numerical examples are reported to illustrate the performance of the preconditioned iteration.