Energy methods for fractional Navier-Stokes equations
被引:16
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作者:
Zhou, Yong
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机构:
Xiangtan Univ, Fac Math & Computat Sci, Xiangtan 411105, Hunan, Peoples R China
King Abdulaziz Univ, Fac Sci, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, POB 80203, Jeddah 21589, Saudi ArabiaXiangtan Univ, Fac Math & Computat Sci, Xiangtan 411105, Hunan, Peoples R China
Zhou, Yong
[1
,2
]
Peng, Li
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Xiangtan Univ, Fac Math & Computat Sci, Xiangtan 411105, Hunan, Peoples R ChinaXiangtan Univ, Fac Math & Computat Sci, Xiangtan 411105, Hunan, Peoples R China
Peng, Li
[1
]
Ahmad, Bashir
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King Abdulaziz Univ, Fac Sci, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, POB 80203, Jeddah 21589, Saudi ArabiaXiangtan Univ, Fac Math & Computat Sci, Xiangtan 411105, Hunan, Peoples R China
Ahmad, Bashir
[2
]
Alsaedi, Ahmed
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King Abdulaziz Univ, Fac Sci, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, POB 80203, Jeddah 21589, Saudi ArabiaXiangtan Univ, Fac Math & Computat Sci, Xiangtan 411105, Hunan, Peoples R China
Alsaedi, Ahmed
[2
]
机构:
[1] Xiangtan Univ, Fac Math & Computat Sci, Xiangtan 411105, Hunan, Peoples R China
[2] King Abdulaziz Univ, Fac Sci, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, POB 80203, Jeddah 21589, Saudi Arabia
In this paper we make use of energy methods to study the Navier-Stokes equations with time-fractional derivative. Such equations can be used to simulate anomalous diffusion in fractal media. In the first step, we construct a regularized equation by using a smoothing process to transform unbounded differential operators into bounded operators and then obtain the approximate solutions. The second part describes a procedure to take a limit in the approximation program to present a global solution to the objective equation. (C) 2017 Elsevier Ltd. All rights reserved.
机构:
Inst Appl Phys & Computat Math, Beijing, Peoples R ChinaInst Appl Phys & Computat Math, Beijing, Peoples R China
Ju, Qiangchang
Wang, Zhao
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机构:
Inst Appl Phys & Computat Math, Beijing, Peoples R China
China Acad Engn Phys, Grad Sch, Beijing, Peoples R ChinaInst Appl Phys & Computat Math, Beijing, Peoples R China
机构:
Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R ChinaCent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China
Tang, Lan
Yu, Yong
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机构:
Chinese Univ Hong Kong, Dept Math, Shatin, Hong Kong, Peoples R ChinaCent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China