Inthis paper, we discuss two first-order completely discrete schemes based on Backward Euler and its linearized variant methods for the 2D Sobolev equations with Burgers' type nonlinearity. First, we derive some a priori estimates for the semi-discrete scheme, then a priori bounds for the fully discrete scheme are obtained for the backward Euler approximation. Use of discrete Gronwall's Lemma and Stolz-Cesaro's classical result for sequences show that these estimates for the fully discrete scheme are valid uniformly in time. Moreover, an existence of a global attractor of a discrete dynamical system is derived. Further, optimal a priori error bounds are established, which may depend exponentially on time. It is shown that these error estimates are uniform in time under a uniqueness condition. Moreover, as the coefficient of dispersion mu in - mu Delta u(t) tends to zero, both the semi-discrete and completely discrete Sobolev equations converge to the corresponding Burgers' equation linearly with respect to mu. Finally, some numerical examples are established in support of our theoretical analysis.
机构:
Peking Univ, Sch Math Sci, Beijing 100871, Peoples R ChinaPeking Univ, Sch Math Sci, Beijing 100871, Peoples R China
Zhang, Zhifei
Zi, Ruizhao
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Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China
Cent China Normal Univ, Key Lab Nonlinear Anal & Applicat, Minist Educ, Wuhan 430079, Peoples R ChinaPeking Univ, Sch Math Sci, Beijing 100871, Peoples R China
Zi, Ruizhao
JOURNAL DE MATHEMATIQUES PURES ET APPLIQUEES,
2023,
179
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182
机构:
Hunan Normal Univ, Sch Math & Stat, MOE LCSM, Changsha 410081, Hunan, Peoples R ChinaHunan Normal Univ, Sch Math & Stat, MOE LCSM, Changsha 410081, Hunan, Peoples R China
Chen, Hao
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机构:
Nikan, Omid
Qiu, Wenlin
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机构:
Hunan Normal Univ, Sch Math & Stat, MOE LCSM, Changsha 410081, Hunan, Peoples R ChinaHunan Normal Univ, Sch Math & Stat, MOE LCSM, Changsha 410081, Hunan, Peoples R China
Qiu, Wenlin
Avazzadeh, Zakieh
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机构:
Univ South Africa, Dept Math Sci, Florida, South AfricaHunan Normal Univ, Sch Math & Stat, MOE LCSM, Changsha 410081, Hunan, Peoples R China