Anisotropic graded meshes and quasi-optimal rates of convergence for the FEM on polyhedral domains in 3D
Anisotropic graded meshes and quasi-optimal rates of convergence for the FEM on polyhedral domains in 3D
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发表时间:
2012
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通讯作者:
C. Bacuta;Hengguang Li;V. Nistor
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作者:
C. Bacuta;Hengguang Li;V. Nistor
We consider the model problem −∆u + V u = f ∈ Ω, with suitable boundary conditions on ∂Ω, where Ω is a bounded polyhedral domain in R, d = 2, 3, and V is a possibly singular potential. We study efficient finite element discretizations of our problem following Numer. Funct. Anal. Optim., 28(7-8):775–824, 2007, Bull. Math. Soc. Sci. Math. Roumanie (N.S.), 55(103):157–178, 2012, and a few other more recent papers. Under some additonal mild assumptions, we show how to construct sequences of meshes such that the sequence of Galerkin approximations uk ∈ Sk achieve h-quasi-optimal rates of convergence in the sense that ‖u − uk‖H1(Ω) ≤ C dim(Sk)‖f‖Hm−1(Ω). Our meshes defining the Finite Element spaces Sk are suitably graded towards the singularities. They are topologically equivalent to the meshes obtained by uniform refinement and hence their construction is easy to implement. We explain in detail the mesh refinement for four typical problems: for mixed boundary value/transmission problems for which V = 0, for Schrödinger type operators with an inverse square potential V on a polygonal domain in 2D, for Schrödinger type operators with a periodic inverse square potential V in 3D, and for the Poisson problem on a three dimensional domain. These problems are listed in the increasing order of complexity. The transmission problems considered here include the cases of multiple junction points. Constantin Băcuţă, Hengguang Li, and Victor Nistor Introduction Let Ω ⊂ R be an open, bounded set. Consider the model problem (−∆ + V )u = f in Ω (1) defined on a bounded domain Ω ⊂ R, where ∆ is the Laplacian ∆ = ∑d i=1 ∂ 2 i . Suitable boundary conditions will be imposed. This model problem (even for V = 0) arises in many practical applications. We are interested in finding efficient numerical methods for the approximation of the solution u. In this paper we shall deal with the classical Finite Element Method. The rate of convergence of the Finite Element approximations uk of u depends (at least for quasi-uniform meshes) on the smoothness of the solution u. When ∂Ω is smooth and V = 0, it is well known that our model problem (1) has a unique solution u ∈ H(Ω) for any f ∈ Hm−1(Ω) and g ∈ H(∂Ω) [6], where g is the Dirichlet boundary condition, u = g on ∂Ω. Moreover, u depends continuously on f and g. This result is the classical well-posedness of the Poisson problem on smooth domains and provides a satisfactory smoothness result for u. On the other hand, when Ω is not smooth and V = 0, it is also well known [4, 5, 9, 10, 11] that there exists s = sΩ such that u ∈ H(Ω) for any s 0, independent of k and f , such that ‖u− uk‖H1(Ω) ≤ C dim(Sk)‖f‖Hm−1(Ω), uk ∈ Sk, (2) where d = 2 or d = 3 is the dimension of our polyhedral domain Ω. The amount of work required to find uk depends on the dimension of Sk, so it is natural to compare the error with dim(Sk), especially since the usual parameter h loses its meaning for a non quasi-uniform sequence of meshes. Our main goal is to define suitable subspaces Sk ⊂ H(Ω), satisfying all essential boundary conditions in our problem, such that the Galerkin finite element projections uk ∈ Sk that approximate the solution u of Equation (1) for f ∈ Hm−1(Ω) achieve h-quasioptimal rates of convergence. We shall show how this is done in the four cases mentioned in the abstract: 1) for mixed boundary value/transmission problems with V = 0 in 2D, 2) for Schrödinger type operators with inverse square potential V on a polygonal domain in 2D, 3) for Schrödinger type operators with a periodic inverse square potential V in 3D, and 4) for the Poisson problem (so V = 0) on a three dimensional domain. The above cases were listed in the increasing order of complexity. The transmission problems considered here in2D include the cases of multiple junction points.