Convergence and supercloseness of a finite element method for a two-parameter singularly perturbed problem on Shishkin triangular mesh☆
Introduction
We discuss the following singularly perturbed problem in the interval under the condition and for all there areandwhere , , are positive constants. Assume , and sufficiently smooth. Moreover, assume that the funciton satisfies the compatibility conditionsFrom these assumptions and [1] we obtain that problem (1) has a unique solution for .
Due to the influence of small parameters in the equation, boundary layers or inner layers often appear in singularly perturbed problems. Unfortunately, classical numerical methods are useless for these problems because the solution changes so quickly within the layer. In recent years, layer-adapted mesh has been developed to analyze singular perturbed problems. And one of the most popular layer-adapted meshes is Shishkin mesh, which is simple in structure and easy to analyze.
In general, one issue of numerical methods for singular perturbation problems is to obtain uniform convergence independent of perturbation parameters. It is worth noting that with the development of research, researchers have also discovered the importance of supercloseness, which is a useful tool to improve numerical solutions by postprocessing. For singularly perturbed problems with one parameter, there are plenty of supercloseness results; see [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13] and their bibliography. But, few studies have been done for singular perturbation problems with two parameters; see [14], [15].
In this article, for two-dimensional singular perturbation problems with two parameters, we prove the convergence and supercloseness of finite element method on Shishkin triangular mesh. Compared with the one-parameter problems, layers of two-parameter problems are more complex, as makes the analysis more difficult. The analysis shows that there are four corner layers, two exponential boundary layers and two parabolic layers in the solution of problem (1). Their properties are different and closely related to small parameters , and mesh properties. Therefore, we combine the characteristics of the mesh and the layers to choose technical tools for error analysis. At the same time, some integral inequalities on Shishkin triangular mesh are also of great significance in error analysis. Finally, we obtain the main theoretical results of this paper.
The organization of this article is as follows. In Section 2, we present some information about the exact solution and some necessary assumptions. In Section 3, the Shishkin triangle mesh is built, and some information about the mesh is given. Besides, we provide the variational formulation and finite element method for the problem (1). In Section 4, the error results of exact solution and its interpolation in norm and energy norm are proved. We present some important integral inequalities in Section 5, while in Section 6 our main theoretical results on supercloseness and uniform convergence are given. In the last section, we illustrate and support the theoretical results with numerical examples.
For nonnegative integers , , and any measurable subset of , a standard notation for Banach spaces is given, and we denote by the Sobolev space and on . We write by the norm of and write by the seminorm of , respectively. The notation stands for the scalar product in . Furthermore, we will omit the in the norm and seminorm when it is . Throughout this paper, represents a general constant independent of the perturbation parameters , and the number of mesh points.
Section snippets
The decomposition of solution and its prior information
The layers of two-parameter problems are more complex than ones of one-parameter problems. In order to better analyze the exponential layer with faster change speed, similar to [16], we introduce two constants that determine the width of the exponential boundary layerswhere for all . From [16] we have the following inequalities about and : Remark 1 It is noted that the values of
Shishkin triangular mesh
Based on Assumption 1, we take . To construct the Shishkin triangle mesh we define the following appropriate transition parameterswhere , is multiple of 4, is the parameter selected by the user and is the parameter defined in Assumption 1.
Next, we takewhich are the usual transition points used in Shishkin mesh for this kind of problem. Then similar to [16, (21)], we can build our Shishkin triangular mesh
Interpolation error
First, from [19, Lemma 3.2], we have the following lemma about anisotropic interpolation estimates. Lemma 1 Assume that and is the standard nodal linear interpolation of on Shishkin triangular mesh . Thenwhere , and are nonnegative integers, with and Lemma 2 Let Assumption 1 be true and
Integral inequalities
We will give some interpolation integral inequalities that are essential for convergence and supercloseness analysis.
First, the estimates of diffusion terms rely on the lemma as follows(see [7, Lemma 2.1]). Lemma 6 Assume that and is the standard nodal linear interpolation of on Shishkin triangular . Then we can obtain thatwhere and are
Supercloseness and uniform convergence
In order to estimate the bilinear form, integration by parts is used to obtainThe estimates of the three terms at the right will be given in the following three lemmas. Lemma 8 Let be the standard nodal linear interpolation of the solution of (1) and be the numerical approximation of . Let Assumption 1 hold true, then one has
Numerical experiments
In this section, we will give some numerical examples to verify the theoretical results obtained in the previous section.
Our test problem is given bywhere the right end item is chosen such that exact solution meetsAnd from (5) we have
In our tests, we choose . In order to satisfy conditions (14) and (11), there is a perturbation parameter range
Acknowledgments
We thank the anonymous referees for his/her valuable comments and suggestions that led us to improve this paper.
References (22)
- et al.
Asymptotic analysis and Shishkin-type decomposition for an elliptic convection-diffusion problem
J. Math. Anal. Appl.
(2001) - et al.
Supercloseness of continuous interior penalty method for convection-diffusion problems with characteristic layers
Comput. Methods Appl. Mech. Engrg.
(2017) - et al.
Supercloseness of the continuous interior penalty method for singularly perturbed problems in 1D: vertex-cell interpolation
Appl. Numer. Math.
(2018) - et al.
Uniform supercloseness of Galerkin finite element method for convection-diffusion problems with characteristic layers
Comput. Math. Appl.
(2018) - et al.
Convergence and supercloseness in a balanced norm of finite element methods on Bakhvalov-type meshes for reaction-diffusion problems
J. Sci. Comput.
(2021) - et al.
An elliptic singularly perturbed problem with two parameters. II. Robust finite element solution
J. Comput. Appl. Math.
(2008) - et al.
High-order finite element method on a Bakhvalov-type mesh for a singularly perturbed convection-diffusion problem with two parameters
Appl. Math. Comput.
(2021) The finite element method for elliptic problems
(1978)- et al.
Superconvergence analysis of the Galerkin FEM for a singularly perturbed convection-diffusion problem with characteristic layers
Numer. Methods Partial Differential Equations
(2008) - et al.
Uniform superconvergence of a finite element method with edge stabilization for convection-diffusion problems
J. Comput. Math.
(2010)
Supercloseness result of higher order FEM/LDG coupled method for solving singularly perturbed problem on S-type mesh
Abstr. Appl. Anal., pages Art. ID 260840
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Funding: The work of the author is supported by NSFC grant 11771257 and 11601251.