In this paper, we consider numerical approximation of the Allen-Cahn equation with double well potential, which is a fundamental equation in phase-field models. We propose a novel linear, energy stable and maximum principle preserving scheme, which is obtained combining a recently developed energy factorization approach with a novel stabilization approach to treat the double well potential semi-implicitly. Different from the traditional stabilization approach, our stabilization approach aims to make sure the energy inequality in an enlarged phase variable domain. Compared with the prevalent convex-splitting approach and auxiliary variable approaches, the proposed approach leads to a very simple, linear scheme that preserves the original energy dissipation law. The proposed fully discrete finite difference scheme is proved to preserve the discrete maximum principle without any time stepping constraint. The performance of the proposed scheme is demonstrated in numerical experiments, and especially, it is vastly superior to the conventional stabilized scheme. (C) 2021 Elsevier B.V. All rights reserved.
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Henan Polytech Univ, Sch Math & Informat Sci, Jiaozuo 454000, Peoples R ChinaHenan Polytech Univ, Sch Math & Informat Sci, Jiaozuo 454000, Peoples R China
Xu, Zhuangzhi
Fu, Yayun
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Xuchang Univ, Sch Sci, Henan Joint Int Res Lab High Performance Computat, Xuchang 461000, Peoples R ChinaHenan Polytech Univ, Sch Math & Informat Sci, Jiaozuo 454000, Peoples R China
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Nanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing 211106, Peoples R ChinaNanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing 211106, Peoples R China
Liao, Hong-lin
Tang, Tao
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SUSTech Int Ctr Math, Shenzhen, Peoples R China
BNU HKBU United Int Coll, Div Sci & Technol, Zhuhai, Guangdong, Peoples R ChinaNanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing 211106, Peoples R China
Tang, Tao
Zhou, Tao
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Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, NCMIS, Beijing 100190, Peoples R China
Chinese Acad Sci, Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, LSEC, Beijing 100190, Peoples R ChinaNanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing 211106, Peoples R China
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Purdue Univ, Dept Math, W Lafayette, IN 47907 USAPurdue Univ, Dept Math, W Lafayette, IN 47907 USA
Shen, Jie
Tang, Tao
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South Univ Sci & Technol, Dept Math, Shenzhen 518055, Guangdong, Peoples R China
Hong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China
Hong Kong Baptist Univ, Inst Computat & Theoret Studies, Kowloon Tong, Hong Kong, Peoples R ChinaPurdue Univ, Dept Math, W Lafayette, IN 47907 USA
Tang, Tao
Yang, Jiang
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Columbia Univ, Dept Appl Phys & Appl Math, New York, NY 10027 USAPurdue Univ, Dept Math, W Lafayette, IN 47907 USA
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Natl Univ Def Technol, Dept Math, Coll Liberal Arts & Sci, Changsha 410073, Hunan, Peoples R ChinaNatl Univ Def Technol, Dept Math, Coll Liberal Arts & Sci, Changsha 410073, Hunan, Peoples R China
Sun, Jingwei
Zhang, Hong
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Natl Univ Def Technol, Dept Math, Coll Liberal Arts & Sci, Changsha 410073, Hunan, Peoples R ChinaNatl Univ Def Technol, Dept Math, Coll Liberal Arts & Sci, Changsha 410073, Hunan, Peoples R China
Zhang, Hong
Qian, Xu
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Natl Univ Def Technol, Dept Math, Coll Liberal Arts & Sci, Changsha 410073, Hunan, Peoples R ChinaNatl Univ Def Technol, Dept Math, Coll Liberal Arts & Sci, Changsha 410073, Hunan, Peoples R China
Qian, Xu
Song, Songhe
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Natl Univ Def Technol, Dept Math, Coll Liberal Arts & Sci, Changsha 410073, Hunan, Peoples R ChinaNatl Univ Def Technol, Dept Math, Coll Liberal Arts & Sci, Changsha 410073, Hunan, Peoples R China
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Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen, Guangdong, Peoples R ChinaChinese Univ Hong Kong, Sch Sci & Engn, Shenzhen, Guangdong, Peoples R China
He, Dongdong
Pan, Kejia
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Cent S Univ, Sch Math & Stat, Changsha 410083, Hunan, Peoples R ChinaChinese Univ Hong Kong, Sch Sci & Engn, Shenzhen, Guangdong, Peoples R China