中文版 | English
Title

Sharp convergence to steady states of Allen-Cahn

Author
Corresponding AuthorDong Li
Publication Years
2022-08-01
DOI
Source Title
Volume1Issue:3
Abstract

In our recent work we found a surprising breakdown of symmetry conservation: using standard numerical discretization with very high precision the computed numerical solutions corresponding to very nice initial data may converge to completely incorrect steady states due to the gradual accumulation of machine round-off error. We solved this issue by introducing a new Fourier filter technique for solutions with certain band gap properties. To further investigate the attracting basin of steady states we classify in this work all possible bounded nontrivial steady states for the Allen-Cahn equation. We characterize sharp dependence of nontrivial steady states on the diffusion coefficient and prove strict monotonicity of the associated energy. In particular, we establish a certain self-replicating property amongst the hierarchy of steady states and give a full classification of their energies and profiles. We develop a new modulation theory and prove sharp convergence to the steady state with explicit rates and profiles.

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Language
English
SUSTech Authorship
First ; Corresponding
Data Source
人工提交
Publication Status
正式出版
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/527495
DepartmentSUSTech International Center for Mathematics
理学院_数学系
Affiliation
1.Department of Mathematics, Southern University of Science and Technology, Shenzhen, P.R. China.
2.SUSTech International Center for Mathematics, Southern University of Science and Technology, Shenzhen, P.R. China.
3.Guangdong Provincial Key Laboratory of Computational Science and Material Design, Southern University of Science and Technology, Shenzhen, P.R. China.
4.Division of Science and Technology, BNU-HKBU United International College, Zhuhai, P.R. China.
5.Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, P.R. China.
First Author AffilicationDepartment of Mathematics;  SUSTech International Center for Mathematics
Corresponding Author AffilicationDepartment of Mathematics;  SUSTech International Center for Mathematics
First Author's First AffilicationDepartment of Mathematics
Recommended Citation
GB/T 7714
Dong Li,Chaoyu Quan,Tao Tang,et al. Sharp convergence to steady states of Allen-Cahn[J]. Communications in Mathematical Analysis and Applications,2022,1(3).
APA
Dong Li,Chaoyu Quan,Tao Tang,&Wen Yang.(2022).Sharp convergence to steady states of Allen-Cahn.Communications in Mathematical Analysis and Applications,1(3).
MLA
Dong Li,et al."Sharp convergence to steady states of Allen-Cahn".Communications in Mathematical Analysis and Applications 1.3(2022).
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