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ELEMENT METHOD FOR PARABOLIC INTERFACE PROBLEMS

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OSBE,n Elliptic reconstruction error estimator for the fully discrete backward Euler approximation of the semilinear problem. MSBE,n Space-mesh error estimator for the fully discrete backward Euler approximation of the semilinear problem. Te,SBE,n Temporal error estimator for the fully discrete backward Euler approximation of the semilinear problem.

Crank-Nicolson approximation of the semilinear problem Tre,SCN,n Time reconstruction error estimator for fully discrete. Te,SCN,n A time error estimator for the fully discrete Crank-Nicolson approximation of a semilinear problem.

Problem Statement

The main goal of the thesis is to study the a posteriori error analysis of the finite element method for parabolic interface problems. It also contains a brief review of relevant literature and motivation for the present work. Finally, the organization of the thesis is described in the last part of this chapter.

Other interesting models include the simulation of the electric potential [66], the flow of water in porous media with a source at the interface [80], air-vapor heat transport through textile materials [106], electrokinetic flows [25] and the dynamics of solutes arterial walls [29]. Due to the discontinuity of the coefficients along the interfaceΓ, the interface problems generally lead to non-smooth solutions.

Figure 1.1: Domain Ω with subdomains Ω 1 , Ω 2 and the interface Γ .
Figure 1.1: Domain Ω with subdomains Ω 1 , Ω 2 and the interface Γ .

Notations and Prerequisites

Regarding the regularity of the solution for the parabolic interface problem, we have the following result. For the purposes of the spatially discrete approximations, let Th ={K} be a family of shape-regular conformal triangulations of ¯Ω. Similarly, we divide the set Eh into three disjoint sets Eh∗, Eh,Ω1 and Eh,Ω2, where Eh∗ refers to the set of all edges of the interface triangles in Th∗ and Eh,Ωi(i= 1,2) denotes the set of all edges of the non-interface triangles in Th,Ωi.

Next, we rewrite the elliptic operator in a compact form, which will then be used for the rest of the dissertation. Now, we shift our attention to introduce the finite element discretization of the space-time domain for fully discrete approximations.

Figure 1.2: Polygonal domain P Ω 1 and P Ω 2 with polygonal boundary Γ P of P Ω 1 . The bilinear form a( · , · ) is bounded and coercive on H 0 1 (Ω), i.e., ∃ α 0 , γ 0 > 0 such that (1.2.2) | a(v, w) | ≤ α 0 k v k 1 k w k 1 ∀ v, w ∈ H 0 1 (Ω),
Figure 1.2: Polygonal domain P Ω 1 and P Ω 2 with polygonal boundary Γ P of P Ω 1 . The bilinear form a( · , · ) is bounded and coercive on H 0 1 (Ω), i.e., ∃ α 0 , γ 0 > 0 such that (1.2.2) | a(v, w) | ≤ α 0 k v k 1 k w k 1 ∀ v, w ∈ H 0 1 (Ω),

Background and Motivation

However, FEM posterior error analysis for parabolic problems has been the subject of research since the early 80s. Existing literature on posterior error analysis for parabolic problems using the energy argument can be found in Later, Verf¨urth in [101] derived an optimal order estimate in the L2(H1)-norm and a suboptimal estimate in the L∞(L2)-norm for the parabolic problem using the energy argument.

A new recovery, based on a posteriori error bounds, is derived in [28] for the conformal linear finite element approximation of the elliptic interface problems. To the best of our knowledge, the L∞(L2)-norm a posteriori error estimates for the parabolic interface problems have yet to be investigated.

Organization of the Thesis

In this chapter we derive residual-based estimates of a posteriori errors for the spatially discrete finite element approximation of the linear parabolic interface problem. The salient features of the a posteriori error analysis include: (i) an appropriate introduction of an elliptic reconstruction operator, and (ii) new approximation results of the Cl'ement-type interpolation operator. For purely parabolic problems, an a posteriori error analysis for the spatially discrete approximation was studied by Makridakis and Nochetto in [76].

They used elliptic reconstruction in conjunction with the energy technique to derive optimal order a posteriori error bound in the L∞(L2) norm. In this chapter, an attempt was made to extend the a posteriori error analysis of the spatially discrete approach of the parabolic problems [76] to the parabolic interface problem.

Figure 1.4: Schematic strategy of the thesis.
Figure 1.4: Schematic strategy of the thesis.

Cl´ement-type Interpolation Error Estimates

But in the present case, due to the discontinuity of the diffusion coefficient β along the interface Γ, the solution has a lower regularity in the whole domain Ω, normally one only has u ∈ H01(Ω). The new approximation results for the Cl´ement-type interpolation operator are established to deal with the interface problems. In Section 2.2, we establish new approximation results for the Cl´ement-type interpolation operator.

In Section 2.3, elliptic reconstruction operator is introduced and a posterior error estimate of near-optimal order in the L∞(L2) norm is derived. a) z is an interior point of an elementK. b) z is an interior point of an edge E. c) z is a common boundary point of some edges (marked with dashed line), and z is an interior point of Ω. d) z is a common boundary point of some edges (marked with dashed line), and z is a boundary point of Ω. Let Nh be the set of all interpolation nodes in the triangulation Th. K, ifz is an interior point of K ∈ Th,. E0, any edgeE0 containing z, ifz is a common boundary point of some edges, andz is an interior point of the domainΩ,. E˜0, any edge ˜E0 containing z and ˜E0 ⊂∂Ω if z is a common boundary point of some edges and z is a boundary point of the domain Ω. where zi and zj are nodes connected to Fz. The Cl´ement-type interpolation operator Jh :X −→Sh is defined by. I).

To prove (2.2.3), it is enough to obtain the result for individual elements and then sum to obtain the result for the whole domain. We are now ready to derive the approximation properties of the C´ement-type interpolation operator over edges. Since the interface Γ is of class C2, one can have continuous expansion of the functions vi ∈ H2(Ωi) on the entire domain Ω and obtain a function ˜vi ∈H2(Ω), such that ˜vi|Ωi =vi for i= 1, 2 and.

Cl´ement-type approximations for triangles: To establish the approximation properties of the Cl´ement-type interpolation operator for triangles, we consider the following two cases: First, for the non-interface triangles (K ∈ Th \ Th∗ ) and then for the interfaces (K ∈ Th∗). Cl´ement-type interpolation estimates for edges: Analogous to the previous case, the proof continues here too by considering two cases: Cl´ement-type estimates for edges E ∈ Eh\ Eh∗ :=Eh,Ω1 ∪ Eh,Ω2 and E ∈ Eh∗. Client type estimates for edges E ∈ Eh∗: Let E ∈ Eh∗ be any arbitrary edge of an interface triangle K ∈ Th∗. where the constant CI,4 is independent of h and depends on the shape regularity of the family of triangles. i). The main difference between the approximation properties and is that in the former one needs H2 regularity to obtain O(h2) convergence with piecewise linear elements, while in the later only global H1 regularity is used to obtain O(h2|logh|) approximation properties to obtain the Cl. 'ement-type operator. ii) In Chen and Zou [33], similar approximation properties (cf.

Figure 2.1: Choice of subdomain F z .
Figure 2.1: Choice of subdomain F z .

Abstract Error Analysis

In the proof, the authors of [33] directly used the standard finite element interpolation results to obtain an estimate about non-interface triangles. The property (2.3.2) is called the Galerkin orthogonality and plays a crucial role in the derivation of residual-based a posteriori error estimates. iii) To motivate Definition 2.3.1, we rewrite the spatially discrete approach (2.1.8) as Unlike for the purely parabolic problems, a posteriori error estimates for the elliptic interface problems are not readily available in the literature regarding the L2 norm.

The proof uses the standard energy argument and relies on the approximation properties of the Cl´ement-type operator derived in the previous section. For the reconstruction error, the optimal order estimate in the H1-norm and the near-optimal order estimate in the L2-norm are derived. Above CI,i(i refers to the interpolation constants and CR is the elliptic regularity constant.

As a consequence of the second estimate of Lemma 2.3.1, we can immediately obtain an a posteriori error estimate of almost optimal order for elliptic interface problems in the L2-norm. Appropriate adaptation of the elliptic reconstruction operator introduced in Chapter 2 plays an important role in the analysis. As in the spatially discrete case, for v ∈Sn the bilinear form a(·,·) can be briefly represented as

In the context of pure parabolic problems, a posteriori error analysis for the fully discrete backward Euler approximation was studied by Picasso [86], Verf¨urth [101]. Moreover, new approximation results of the Cl´ement-type interpolation operator also play an important role in the analysis. In Section 3.2, elliptic reconstruction operator is introduced in the context of the fully discrete backward Euler approximation.

Abstract Error Analysis

We now recall from Chapter 1 the following approximation properties of the C'ement-type interpolation operator in the context of complete discrete approximation. This chapter is devoted to the subsequent error analysis of the fully discrete Crank-Nicolson approximation for the linear parabolic interface problem. A posteriori error bounds with the energy technique for the Crank-Nicolson method for the linear parabolic problems have been investigated by Verf¨urth [101], Akrivis et al.

In this chapter, an attempt is made to carry a posteriori error analysis for the Crank-Nicolson approximation of parabolic problems (cf. [15]) to the interface problem. Following the idea of ​​[4, 15] we now define the space-time reconstruction for the Crank-Nicolson error analysis of the parabolic interface problem. In the previous two chapters, we have reviewed single-step methods for the time discretization of the linear parabolic interface problem.

In this chapter, we discuss a posteriori error analysis of the two-step backward differentiation formula (BDF-2) method for the linear parabolic interface problem. The fully discrete BDF-2 approximation of the problem associated with the finite element space Sn is presented below. A posteriori estimate of the BDF-2 approximation error for purely linear parabolic problems is investigated by Akrivis and Chatzipantelidis in [3].

In this chapter an attempt has been made to derive a posteriori error bounds for the fully discrete BDF-2 approximation to the parabolic interface problem in the L∞(L2) norm. In section 6.2 we derive a posteriori error estimates for the backward Euler approximation of the semilinear parabolic problem. Now we define the following residual-based error estimators that will be used in the subsequent analysis of the fully discrete backward Euler approximation.

For the fully discrete Crank-Nicolson error analysis, we now define the quadratic space-time reconstruction for the Crank-Nicolson approximation (6.1.13). As a result of the above lemmas, we derive the a posteriori error bound to the parabolic error ˘ρ(t) in the following theorem. The essential components used in the analysis are: (i) the correct elliptic reconstruction of the finite element solution obtained by the backward Euler approximation, and (ii) the approximation results of the Cl'ement type interpolation operator .

Berrone, Robust a posteriori error estimates for finite element discretizations of the heat equation with discontinuous coefficients, M2AN Math.

Figure 7.1: The first plot shows the exact solution and the second one corresponds to the backward Euler FEM solution
Figure 7.1: The first plot shows the exact solution and the second one corresponds to the backward Euler FEM solution

Gambar

Figure 1.1: Domain Ω with subdomains Ω 1 , Ω 2 and the interface Γ .
Figure 1.2: Polygonal domain P Ω 1 and P Ω 2 with polygonal boundary Γ P of P Ω 1 . The bilinear form a( · , · ) is bounded and coercive on H 0 1 (Ω), i.e., ∃ α 0 , γ 0 > 0 such that (1.2.2) | a(v, w) | ≤ α 0 k v k 1 k w k 1 ∀ v, w ∈ H 0 1 (Ω),
Figure 1.3: Pictorial representations of the splitting of T h and E h .
Figure 1.4: Schematic strategy of the thesis.
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