In this paper, we are concerned with error analysis of the semi-discrete and fully discrete approximations to the pseudostress-velocity formulation of the unsteady Stokes problem. The pseudostress-velocity formulation of the Stokes problem allows a Raviart-Thomas mixed finite element. For the semi-discrete approximation, we prove that solution operators of homogeneous Stokes equations have the so-called parabolic smoothing property. For the fully discrete case, backward Euler and Crank-Nicolson schemes in time are considered. We present how to find the initial value of the pseudostress variable which is not given as initial data in Crank-Nicolson algorithm. Matrix equations are derived to show that backward Euler and Crank-Nicolson schemes corresponding to the pseudostress-velocity formulation are unconditionally stable. Finally, numerical examples are presented to test the performance of the algorithm and validity of the theory developed.
机构:
South China Normal Univ, Sch Math Sci, Guangzhou 520631, Guangdong, Peoples R ChinaSouth China Normal Univ, Sch Math Sci, Guangzhou 520631, Guangdong, Peoples R China
Chen, Yanping
Leng, Haitao
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South China Normal Univ, Sch Math Sci, Guangzhou 520631, Guangdong, Peoples R ChinaSouth China Normal Univ, Sch Math Sci, Guangzhou 520631, Guangdong, Peoples R China
Leng, Haitao
Yang, Wendi
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South China Normal Univ, Sch Math Sci, Guangzhou 520631, Guangdong, Peoples R ChinaSouth China Normal Univ, Sch Math Sci, Guangzhou 520631, Guangdong, Peoples R China
机构:
School of Mathematics and Statistics, Wuhan UniversitySchool of Mathematics and Statistics, Wuhan University
Yanming Lai
Kewei Liang
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School of Mathematical Sciences, Zhejiang UniversitySchool of Mathematics and Statistics, Wuhan University
Kewei Liang
Ping Lin
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Division of Mathematics, University of DundeeSchool of Mathematics and Statistics, Wuhan University
Ping Lin
Xiliang Lu
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School of Mathematics and Statistics and Hubei Key Laboratory of Computational Science, Wuhan UniversitySchool of Mathematics and Statistics, Wuhan University
Xiliang Lu
Qimeng Quan
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School of Mathematics and Statistics, Wuhan UniversitySchool of Mathematics and Statistics, Wuhan University