2015
DOI: 10.1007/s10915-015-9989-3
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A Priori Error Estimates for Some Discontinuous Galerkin Immersed Finite Element Methods

Abstract: In this paper, we derive a priori error estimates for a class of interior penalty discontinuous Galerkin (DG) methods using immersed finite element (IFE) functions for a classic second-order elliptic interface problem. The error estimation shows that these methods can converge optimally in a mesh-dependent energy norm. The combination of IFEs and DG formulation in these methods allows local mesh refinement in the Cartesian mesh structure for interface problems. Numerical results are provided to demonstrate the… Show more

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Cited by 35 publications
(21 citation statements)
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“…Later in [1,2], Adjerid and Lin extended the IFE approximation to arbitrary polynomial degree, and proved the optimal error estimates in the energy and the L 2 -norms. In the past decade, IFE methods have also been extensively studied for a variety of interface problems in two dimension [19,26,27,31,32,33] and three dimension [23,37].…”
Section: Introductionmentioning
confidence: 99%
“…Later in [1,2], Adjerid and Lin extended the IFE approximation to arbitrary polynomial degree, and proved the optimal error estimates in the energy and the L 2 -norms. In the past decade, IFE methods have also been extensively studied for a variety of interface problems in two dimension [19,26,27,31,32,33] and three dimension [23,37].…”
Section: Introductionmentioning
confidence: 99%
“…For the first three examples, we consider a diffusion interface problem with a smooth elliptical interface curve which has been reported in [25,27]. Let Ω = [−1, 1] 2 , and the interface Γ is an ellipse centered at (x 0 , y 0 ) = (0, 0) with horizontal semiaxis a = π 6.28 and the vertical semi-axis b = 3 2 a.…”
Section: )mentioning
confidence: 99%
“…Although many works on the 2-D IFE methods have appeared in the literature, such as [22,23,25,27,28,32,43,44] for theoretical analysis and [2,3,7,26,51] for applications, to name just a few, the study on the 3-D case is relatively sparse, see [36] for a linear IFE method and [49] for a trilinear IFE method. Even though the research reported here is within the direction of that in [49], but our work has three distinct new contributions.…”
Section: Introductionmentioning
confidence: 99%