An implicit robust numerical scheme with graded meshes for the modified Burgers model with nonlocal dynamic properties

Computational and Applied Mathematics(2023)

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摘要
In this paper, an implicit robust difference method with graded meshes is constructed for the modified Burgers model with nonlocal dynamic properties. The L1 formula on graded meshes for the fractional derivative in the Caputo sense is employed. The Galerkin method based on piece-wise linear test functions is used to handle the nonlinear convection term uu_x implicitly and attain a system of nonlinear algebraic equations. The Taylor expansion with integral remainder is used to deal with the fourth-order term u_xxxx and the second-order term u_xx . Then the existence and uniqueness of numerical solutions for the proposed implicit difference scheme are proved. Meanwhile, the unconditional stability is also derived. By introducing a new discrete Gronwall inequality, we improve the L_2 -stability to the α -robust stability, that is, when α→ 1^- , the bound will not blow up. And we also yield the optimal convergence order in the L_2 energy norm. Finally, we give three numerical experiments to illustrate and compare the efficiency of the proposed robust method on uniform meshes and graded meshes. It shows that the results are consistent with our theoretical analysis.
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关键词
Nonlocal Burgers equations,Graded meshes,Finite difference method,Stability and convergence
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