New Fourth Order Postprocessing Techniques for Plate Bending Eigenvalues by Morley Element
Abstract.
In this paper, we propose and analyze the extrapolation method and asymptotically exact a posterior error estimate for eigenvalues of the Morley element. We establish an asymptotic expansion of eigenvalues, and prove an optimal result for this expansion and the corresponding extrapolation method. We also design an asymptotically exact a posterior error estimate and propose new approximate eigenvalues with higher accuracy by utilizing this a posteriori error estimate. Finally, several numerical experiments are considered to confirm the theoretical results and compare the performance of the proposed methods.
Keywords. eigenvalue problem, Morley element, extrapolation method, asymptotically exact a posterior error estimates
AMS subject classifications. 65N30
1. Introduction
The biharmonic eigenvalue problem originates from the plate theory of elasticity, and also occurs in many physical areas, say the inverse scattering theory. In the Kirchhoff-Love plate model, the biharmonic eigenvalue problem describes the vibration and buckling of an elastic plate subject to some certain boundary condition. The Morley element method is one of the most popular methods for this problem in applied mechanics and engineering, and is widely studied in literature. The application of the Morley element in plate problems can be found in [8, 12, 31, 40] and the references therein. Some a posteriori error estimates and adaptive algorithms were established in [15, 25, 27]. For eigenvalue problems by the Morley element, the a priori error estimates were analyzed in [17, 42] and an a posteriori error estimate was analyzed in [43]. Guaranteed lower bounds for eigenvalues of the biharmonic equation was proposed and analyzed in [9, 19].
The extrapolation method is an efficient approach to improve the accuracy of approximations of many problems. The key of the efficiency of extrapolation algorithm is an asymptotic expansion of the error. The classical analysis of asymptotic expansions is usually based on a superclose property of the canonical interpolation of the element under consideration, see [5, 16, 32, 33, 34, 35, 36, 37, 38, 39] and the references therein for eigenvalues of second order elliptic operators. For the biharmonic eigenvalue problem, the asymptotic expansions of eigenvalues by the Ciarlet-Raviart scheme and the nonconforming rotated and the enriched rotated elements on rectangular meshes were analyzed in [11] and [29], respectively. For some nonconforming elements on triangular meshes, the lack of this crucial superclose property leads to a substantial difficulty of the asymptotic analysis. Until recently, [21] proved the first optimal asymptotic result of two nonconforming elements for eigenvalues of the Laplacian operator.
Asymptotically exact a posteriori error estimates is another efficient technique to improve the accuracy of eigenvalues. The key of such a posteriori error estimates is to express the error in terms of some computable high accuracy approximations. For eigenvalues of the Laplacian operator, [20, 41] studied the asymptotically exact a posteriori error estimates for some conforming and nonconforming elements.
In this paper, we establish the first asymptotic analysis for eigenvalues by the Morley element and analyze the efficiency of the extrapolation algorithm. Inspired by [21], we overcome the difficulty caused by the lack of a crucial superclose property and get
(1.1) |
where is an eigenpair by the Morley element, the interpolation operator is defined in (2.18) and , , are defined in (3.4). To achieve an optimal result, we conduct a new technical analysis for each term on the right hand side of (1.1). The analysis in this paper is quite different from the one in [21] because some natural orthogonal property is absent in this case. We establish an explicit expression with a vanishing subdominant term for the interpolation in [26]. By use of this expression, we can cancel some suboptimal terms in and get the desired optimal expansion. By employing the commuting property and the equivalence with the HHJ element, we express in terms of the second order accuracy term , instead of the first order accuracy term . In this way, we achieve an optimal estimate of , where and are defined in (2.17). We express the consistency error term in terms of jumps along interior edges, which allows some cancellation and is the key to a desired optimal analysis. For , we establish an explicit expression of the interpolation error of the Morley element, and cancel the suboptimal terms between adjacent elements forming a parallelogram, which is crucial in getting the optimal result.
We also design an asymptotically exact a posteriori error estimate and the corresponding approximate eigenvalue by the Morley element. By a simple postprocessing technique, the accuracy of the approximate eigenvalue can be improved to . Numerical results show that this postprocessing technique is effective on both uniform and adaptive meshes, and achieves better performance than the extrapolation method.
The remaining paper is organized as follows. Section 2 presents fourth order elliptic eigenvalue problems and some notations. Section 3 explores an optimal asymptotic expansion of approximate eigenvalues by the Morley element and analyzes the optimal convergence rate of eigenvalues by the extrapolation method. Section 4 proposes and analyzes an asymptotically exact a posterior error estimate of eigenvalues by the Morley element. Section 5 presents some numerical tests.
2. Notations and Preliminaries
2.1. Notations
Given a nonnegative integer and a bounded domain with boundary , let , , and denote the usual Sobolev spaces, norm, and semi-norm, respectively. The Sobolev spaces
Denote the standard inner product and inner product by and , respectively.
Suppose that is a convex polygonal domain and the partition of domain is assumed to be uniform in the sense that any two adjacent triangles form a parallelogram. Let denote the area of element and the length of edge . Let denote the diameter of element and . Denote the set of all interior edges and boundary edges of by and , respectively, and .
Let element have vertices oriented counterclockwise, and corresponding barycentric coordinates . Let denote the centroid of the element, the edges of element , the perpendicular heights, the internal angles, the midpoints of edges , and the unit outward normal vectors, the unit tangent vectors with counterclockwise orientation (see Fig. 1).
There hold the following relationships and
(2.1) |
among the quantities [28]. For , let be the space of all polynomials of degree not greater than on . Denote the piecewise Hessian operator by . For any , denote the third order derivative by . For any , denote
For ease of presentation, the symbol will be used to denote that , where is a positive constant.
2.2. Morley element for eigenvalue problems
Consider the biharmonic eigenvalue problem for plate bending, which finds and such that
(2.2) |
with the clamped boundary condition
(2.3) |
or the simply supported boundary condition
(2.4) |
The weak formulation for (2.2) is to find such that and
(2.5) |
with and
The bilinear form is symmetric, bounded, and coercive, namely
The eigenvalue problem (2.5) has a sequence of eigenvalues
and the corresponding eigenfunctions with
The nonconforming Morley element space over is defined [44, 40] by
if the clamped boundary condition (2.3) is imposed, and
if the simply supported boundary condition (2.4) is imposed. The corresponding canonical interpolation operator is defined by
(2.6) |
The corresponding finite element approximation of (2.5) is to find such that and
(2.7) |
with the discrete bilinear form Denote the approximate solution of (2.7) by with where and , .
Let be an eigenvalue of Problem (2.5) with multiplicity and
Without loss of generality, assume the index of are , that is, Denote
Suppose that is the -th eigenpair of Problem (2.7) by the Morley element, the theory of nonconforming eigenvalue approximations, see for instance, [3, 4, 6, 18, 42] and the references therein, indicates that there exists with such that
(2.8) |
provided that the domain is convex and , where , . Whenever there is no ambiguity, defined this way is the called the corresponding eigenpair to of Problem (2.7) if the estimate (2.8) holds.
2.3. Hellan–Herrmann–Johnson element for source problems
For any source term , the plate bending problem seeks such that
(2.11) |
with boundary condition (2.3) or (2.4). Define
and the space for an auxiliary variable by
with if the clamped boundary condition (2.3) is imposed and
if the simply supported boundary condition (2.4) is imposed.
Given and , let
with the unit outnormal and unit tangential direction with counterclockwise orientation of . Since , the integration by parts gives
(2.12) |
Note that is continuous on interior edges and zero on the boundary , so is the tangential derivative of . Thus,
(2.13) |
The mixed formulation of source problem (2.11), which was analyzed in [30], seeks such that
(2.14) | |||||
Define the discrete spaces [2, 10]
The first order HHJ element [10, 30] of Problem (2.14) seeks such that
(2.15) | |||||
It follows from the theory of mixed finite element methods [13] that
(2.16) |
provided that . In this paper, we consider two different source terms and . Let and be the solutions of Problem (2.15) with source terms and , respectively. Then,
(2.17) |
In the rest of this paper, denote where is the eigenfunction of Problem (2.2).
For the plate bending problem with the clamped boundary condition (2.3), it was analyzed in [22] that the HHJ element admits an important superconvergence property on uniform triangulations as presented below. For Problem (2.2) with the simply supported condition (2.4), for all edges . A simple extension of the analysis in [24] proves the superconvergence property of the HHJ element when (2.4) is imposed.
2.4. Equivalence between the HHJ element and the Morley element
Let be the linear interpolation of any function . Given a function . Let be the Morley solution of the source problem
(2.21) |
and be the modified Morley solution of the source problem
(2.22) |
As analyzed in [1], the HHJ solution of source problem (2.15) and the modified Morley solution of source problem (2.22) are equivalent in the following sense
(2.23) |
This equivalence leads to the following lemma.
3. Optimal Analysis of Extrapolation Algorithm for the Morley element
In this section, we consider the extrapolation algorithm on the eigenvalues by the Morley element. An asymptotic expansion of eigenvalues is established, which gives an optimal theoretical analysis of the extrapolation algorithm on the eigenvalue problem.
Given the approximate eigenvalues and on and , respectively. The extrapolation algorithm computes a new approximate eigenvalue by
(3.1) |
where the convergence rate if the eigenfunction is smooth enough. Suppose that there exists such an asymptotic expansion of eigenvalues
(3.2) |
where is independent on the mesh size . It is easy to verify that the extrapolation algorithm (3.1) improves the accuracy of eigenvalues to if (3.2) holds.
In the rest of this section, we establish an expansion in the form of (3.2) with an optimal rate and is expressed explicitly by the function .
3.1. Error expansions for eigenvalues
The classic asymptotic analysis does not work for the Morley element because of the lack of a crucial superclose property. Inspired by [21], we use the equivalence between the mixed HHJ element and the modified Morley element in Lemma 2.2 and the superconvergence property of the mixed HHJ element in Lemma 2.1 to establish an asymptotic expansion of eigenvalues by the Morley element.
To begin with, we list the discrete problems and the corresponding solutions considered in this paper:
-
(P1)
eigenvalue problem (2.7) by the Morley element: ;
-
(P2)
source problem (2.21) by the Morley element: ;
-
(P3)
source problem (2.22) by the modified Morley element: and ;
-
(P4)
source problem (2.15) by the HHJ element: , .
The Morley solution in Problem (P1) is also a solution of Problem (P2) with . The following Lemma 3.1 analyzes some superclose property of the Morley element and the mixed HHJ element, including the relation between Problems (P1) and (P2), and that between Problems (P2) and (P3). Lemma 2.2 presents the equivalence between the solutions of Problems (P3) and (P4). Thus, the superconvergence in Lemma 2.1 of the HHJ element for Problem (P4) can be used to analyze the expansion of eigenvalues of Problem (P1).
Lemma 3.1.
Proof.
To bound , let in (2.21) and (2.22). It holds that
which implies that and completes the estimate of the first term on the left-hand side of (3.3). A similar analysis leads to the following estimate of the second term, that is A similar analysis to the one for Lemma 3.1 in [21] gives for the third term. Consider the last term on the left-hand side of (3.3). By the equivalence (2.24) between the modified Morley element and the HHJ element,
It follows that which completes the proof. ∎
For simplicity of presentation, we introduce the following notations
(3.4) |
The asymptotic expansion of eigenvalues by the Morley element is based on the decomposition in the following theorem.
Theorem 3.1.
Proof.
Recall the expansion (2.10) of eigenvalues by the Morley element
(3.6) |
Thanks to the equivalence in (2.24),
with the HHJ solutions and of the source problem (2.15) with and , respectively, and the Morley solutions and of the eigenvalue problem (2.7) and the modified problem (2.22), respectively. It holds that
(3.7) |
Recall the superconvergence (2.20) of the HHJ element in Lemma 2.1 and the superclose property (3.3) of both the Morley element and the HHJ element. Then,
(3.8) | ||||
A combination of (2.19) and the superconvergence property (2.20) of the HHJ element yields
(3.9) |
A substitution of (3.8) and (3.9) into (3.7) leads to
which completes the proof. ∎
In the rest of this section, we will conduct an asymptotic analysis of each term on the right-hand side of the expansion (3.5) in the above theorem.
3.2. Asymptotic expansion of
Define the three basis functions for the HHJ element
By (2.1), it is easy to verify that
(3.10) |
Define four short-hand notations for the HHJ element
(3.11) |
Note that are linear independent and
(3.12) |
(3.13) |
Define
(3.14) |
Lemma 3.2.
Constants in (3.14) are the same on different elements of a uniform triangulation and independent of the mesh size .
Proof.
By the definition of and (3.10),
(3.15) |
Since ,
is constant independent of the mesh size , where is the midpoint of edge . Similarly, for any and , constant is independent on the mesh size . It follows from (3.14) and (3.15) that
(3.16) |
By the definition of and , each entry of is a linear combination of and . Thus, for any , . For any , both and on uniform triangulations are constant independent of . It follows (3.16) that in (3.14) are the same on different elements and independent of . ∎
For any region , define
(3.17) |
The following lemma presents the Taylor expansion of the interpolation error of the HHJ element.
Lemma 3.3.
For any ,
(3.18) |
Proof.
Lemma 3.3 indicates that is an expansion of with accuracy . Next we improve this estimate to an optimal rate . Define the interpolation in [26] for each positive integer by
(3.22) |
Let . There exists the following error estimate of the interpolation error
(3.23) |
Note that
(3.24) | ||||
where the second term on the right-hand side is a higher order term. The key to analyze is to prove a nearly orthogonal property of . To this end, define a set of polynomials
(3.25) |
with constant
(3.26) |
For any , and it is the first term that determines the -th derivatives of .
The explicit expression of the interpolation in the following lemma admits an important property that all with vanish in .
Lemma 3.4.
For any nonnegative integer and ,
(3.27) |
Moreover,
(3.28) |
Proof.
First we prove that basis functions in (3.25) satisfy that
(3.29) |
by induction. It is obvious that with satisfies (3.29). Suppose that (3.29) holds for any with , consider with .
If , a combination of (3.25), (3.26) and (3.29) gives
(3.30) |
If , since is a linear combination of and ,
(3.31) |
If and , there must exist such that which implies that Consequently,
(3.32) |
Since ,
(3.33) |
If and , a combination of (3.25), (3.32) and (3.33) gives . If , by the definition (3.25), a direct computation yields Since , it is trivial that for any . A combination of all the results above leads to (3.29) for , which completes the proof for (3.29). A combination of the definition of in (3.22) and (3.29) gives (3.27) directly.
Lemma 3.5.
It holds on uniform triangulations that
provided .
Proof.
The partition of domain includes the set of parallelograms and the set of a few remaining boundary triangles , see Fig. 2 for example.
Let
(3.36) |
denote the number of the elements in . It holds that
(3.37) |
with .
It follows from the estimate (3.23) that
(3.38) |
Consider the expansion of . Let in (3.28). It holds that
This implies that does not include any homogeneous third order terms. These vanishing homogeneous third order terms are crucial for the analysis here. By the definition of the interpolation and the fact that is constant if ,
Similarly, Thus, by (3.38),
(3.39) |
with
Consider in (3.37). Let be the centroid of a parallelogram formed by two adjacent elements and . Define a mapping . It is obvious that maps onto and Note that for any and , and are homogeneous polynomials of and with degree 2 and 1, respectively. For any adjacent elements and forming a parallelogram, It follows that
(3.40) |
Recall in (3.27). Note that for all , we have The Bramble-Hilbert Lemma leads that
A similar analysis for gives
(3.41) |
Note that
(3.42) |
A substitution of (3.41) and (3.42) into (3.40) gives
(3.43) |
For any element , it follows from (3.39) and (3.42) that
Since , it follows that
(3.44) |
A substitution of (3.43) and (3.44) into (3.37) leads to
which completes the proof. ∎
Thanks to Lemmas 3.2, 3.3 and 3.5, there exists the following fourth-order accurate expansion of in Theorem 3.1.
Lemma 3.6.
3.3. Error estimate of
The first order term leads to a suboptimal result of if the Cauchy-Schwarz inequality is applied directly. To prove an optimal error estimate, we employ the commuting property of the interpolation of the Morley element and the equivalence between the HHJ element and the modified Morley element. This allows to express in terms of the error of with a second order accuracy, which leads to the desired optimal estimate.
Lemma 3.7.
Suppose that is the solution of Problem (2.5) and . It holds that
Proof.
By the equivalence (2.24) between the HHJ element and modified Morley element,
(3.46) |
Since , the commuting property (2.9) of the Morley element leads to
(3.47) |
Recall that and are the solutions of Problem (2.22) with and , respectively. It follows that
(3.48) |
Thanks to the error estimate (2.8) of the Morley element and (2.16) of the HHJ element, the equivalence (2.24) between the modified Morley element and the HHJ element, and the triangle inequality,
(3.49) |
A combination of (2.8), (3.46), (3.47), (3.48) and (3.49) gives
which completes the proof.
∎
3.4. Error estimate of
This term is essentially a consistency error term of the Morley element with third order accuracy by a direct use of the Cauchy-Schwarz inequality. The main idea here is to employ the equivalence between the HHJ element and the modified Morley element and make use of the weak continuity of solutions in .
Lemma 3.8.
Suppose that is the solution of Problem (2.5) and . It holds that
Proof.
By the equivalence (2.24) between the HHJ element and the modified Morley element and the superclose property in Lemma 3.1,
By the commuting property (2.9) of the Morley element and Problems (2.7), (2.22),
(3.50) |
with . Note that
(3.51) |
It follows from the triangle inequality and the error estimate (2.8) that
(3.52) |
According to the expansion of the interpolation error in [28] for the linear element,
(3.53) |
where are the barycentric coordinates. Integration by parts indicates that
(3.54) |
As , it holds that Note that is the unit tangent vector of edge with the same direction on two adjacent elements sharing the edge , and is the one along the boundary of an element with counterclockwise orientation. Since is the same on two adjacent elements, it follows (2.8) that
(3.55) |
By the commuting property of the interpolation in (2.9), a substitution of (3.51), (3.52), (3.53), (3.54) and (3.55) into (3.50) gives
which completes the proof. ∎
3.5. Error estimate of
This interpolation term can not be cancelled with other terms as the analysis in [21] for the Crouzeix-Raviart element. The key here to obtain an optimal estimate is to exploit the Taylor expansion of and make full use of the uniform triangulations.
Define
(3.56) |
with the barycentric coordinates . For two adjacent elements and forming a parallelogram, let the local index of vertices satisfy By (2.1), there exist the following properties of these cubic polynomials
(3.57) |
Note that
(3.58) |
For , and
Lemma 3.9.
For any ,
(3.59) |
with
(3.60) |
Proof.
The expansion in Lemma 3.9 of the interpolation error of the Morley leads to the following optimal analysis of on uniform triangulations.
Lemma 3.10.
Suppose that is the solution of Problem (2.5) and . It holds on uniform triangulations that
Proof.
Note that
(3.62) |
(3.63) |
It follows from (3.59), (3.62) and (3.63) that
(3.64) |
with and defined in (3.60). By the definition of in (3.56), constant has the same value on different elements. Note that the directions of for two adjacent elements are opposite. Thus, the definition of in (3.60) indicates
where adjacent elements and forming a parallelogram. Similar to the analysis in Lemma 3.5, A substitution of this estimate into (3.64) leads to
which completes the proof. ∎
Lemma 3.7, 3.8, 3.10 show that the terms , and are higher order terms. According to the decomposition of eigenvalues in Theorem 3.1, the error of eigenvalues equals to the interpolation error of the HHJ element in norm up to a higher order term. The following asymptotic expansion of eigenvalues of the Morley element comes from the combination of Lemma 3.6, 3.7, 3.8, 3.10 and Theorem 3.1.
Theorem 3.2.
The optimal convergence result of the extrapolation algorithm in the following theorem is an immediate consequence of Theorem 3.2.
Theorem 3.3.
Remark 3.1.
If is a multiple eigenvalue, eigenfunctions on triangulations with different mesh size may approximate to different functions . Then, the asymptotic expansion of eigenvalue in Theorem 3.2 cannot lead to a theoretical estimate of in (3.1). Some numerical tests in Section 5 show that extrapolation method can also improve the accuracy of multiple eigenvalues to if the eigenfunction is smooth enough.
4. Asymptotically exact a posterior error estimate and postprocessing scheme
In this section, we establish and analyze an asymptotically exact a posterior error estimate of eigenvalues by the Morley element. This estimate gives a high accuracy postprocessing scheme of eigenvalues.
To begin with, we introduce a gradient recovery technique [7, 24]. Define the discrete space
For any function , it is known that each entry of is uniquely determined by its value at the midpoint of edges, so does the function itself. Given , define as follows.
Definition 1.
1.For each interior edge , the elements and are the pair of elements sharing . Then the value of at the midpoint of is
2.For each boundary edge , let be the element having as an edge, and be an element sharing an edge with . Let denote the edge of that does not intersect with , and m, and be the midpoints of the edges , and , respectively. Then the value of at the point m is
The Morley element solution for source problems admits a first order superconvergence on uniform triangulations [22]. According to Lemma 3.1, the eigenfunction is superclose to the Morley element solution for a corresponding source problem. These two facts lead to the following superconvergence result on uniform triangulations
(4.1) |
provided that .
Define the following asymptotically exact a posteriori error estimate
(4.2) |
Given a discrete eigenvalue of the Morley element, the postprocessing scheme computes a new approximate eigenvalue
(4.3) |
By the expansion (2.10), a similar analysis to the one in [21] leads to the following theorem.
Theorem 4.1.
5. Numerical examples
This section presents some numerical tests to confirm the theoretical analysis in the previous sections.
5.1. Example 1 (simply support plate and clamped plate)
We consider the plate problem (2.5) on the unit square . The initial mesh consists of two right triangles, obtained by cutting the unit square with a north-east line. Each mesh is refined into a half-sized mesh uniformly, to get a higher level mesh .
Simply support plate
Consider the simply support plate with boundary condition . It is known that the first eigenvalue of this problem is , and the convergence rate of approximate eigenvalues by the Morley element is . Fig. 3 plots the errors of eigenvalues , and by the Morley element, the corresponding extrapolation method and the postprocessing technique, respectively. The convergence rate of eigenvalues by the Morley element is improved remarkably from second order to fourth order, which verifies the analysis in Theorem 3.3 and Theorem 4.1. Fig. 3 also shows that the postprocessing technique has a better performance than the extrapolation method, although the theoretical convergence rate is smaller than the extrapolation method.

Among the smallest six eigenvalues, it is known that and . Table 1 lists the relative errors of eigenvalues by the Morley element for these multiple eigenvalues. It shows that the extrapolation method also improves the convergence rate of multiple eigenvalues to a rate of 4.
rate | |||||||
---|---|---|---|---|---|---|---|
2.55E-01 | 6.95E-02 | 8.39E-03 | 6.54E-04 | 4.35E-05 | 2.76E-06 | 3.98 | |
2.34E-01 | 6.05E-02 | 7.20E-03 | 5.55E-04 | 3.68E-05 | 2.33E-06 | 3.98 | |
4.63E-01 | 1.54E-01 | 2.81E-02 | 2.64E-03 | 1.87E-04 | 1.21E-05 | 3.95 | |
4.63E-01 | 1.55E-01 | 2.82E-02 | 2.65E-03 | 1.87E-04 | 1.21E-05 | 3.95 |

Clamped plate
Consider the clamped plate with boundary condition . The sum of the eigenvalue by the Morley element on the mesh and the corresponding a posteriori error estimate in (4.2) is taken as the reference eigenvalue for this example. Fig. 4 plots the relative errors of the first eigenvalues , and . It shows that both the extrapolation method and the postprocessing technique can improve the accuracy of eigenvalues on the clamped plate to order 4, which verifies the analysis in Theorem 3.3 and Theorem 4.1. Similar to the results in Example 1 for simply supported plate, Fig. 4 implies that the accuracy of eigenvalues by the postprocessing technique is better than that of eigenvalues by the extrapolation method.
5.2. Example 2 (Piecewise uniform mesh)
Consider a model problem (2.5) with on the domain shown in Fig. 5, where the coordinates of to are , , , , , respectively. The minimal and maximal angle of are and , respectively. Fig. 5 plots the initial mesh and each mesh is refined into a half-sized mesh uniformly, to get a higher level mesh . The eigenvalue by the Aygris element on is taken as the reference eigenvalue for this example.
Table 2 indicates an almost fourth order convergence rate of extrapolation eigenvalues in (3.1) with and postprocessed eigenvalues in (4.2). Although the meshes are no longer uniform, we can still observe the optimal estimate for the asymptotic expansion of the Morley element on such piecewise uniform meshes. It implies that both the extrapolation method and the postprocessing technique are effective on piecewise uniform meshes. Similar to Example 1, the accuracy of eigenvalues by the postprocessing technique is slightly better than that of eigenvalues by the extrapolation method.
9.91E-01 | 2.71E-01 | 6.95E-02 | 1.75E-02 | 4.38E-03 | 1.99 | |
1.51E-01 | 1.37E-02 | 1.05E-03 | 7.95E-05 | 6.38E-06 | 3.64 | |
3.21E-01 | 3.11E-02 | 2.28E-03 | 1.52E-04 | 9.81E-06 | 3.95 |
5.3. Example 3 (Cracked domain)




Consider the model problem (2.5) on a square domain with a crack
The boundary condition is . Let consist of two right triangles, obtained by cutting the domain with a north-east line. Each mesh is refined into a half-sized mesh uniformly, to get a higher level mesh . Let be the initial mesh.

The eigenfunction with respect to the smallest eigenvalue for this case is singular. Adaptive method is a popular and efficient way to deal with singular cases. For eigenvalue problems by the Morley element, an efficient and reliable a posteriori error estimator of Morley elements was proposed in [43]. This a posteriori error estimator is adopted here to generate adaptive grids. Denote the smallest approximate eigenvalues by the Morley element on these adaptive grids by . For the approximate eigenvalues , compute the asymptotically exact a posterior error estimate in (4.2) and denote the postprocessed approximate eigenvalues in (4.3) by . Since the eigenvalues of the problem in consideration are unknown, we use the adaptive postprocessed eigenvalue on an adaptive mesh with 3454396 degrees of freedom as the reference eigenvalue. Fig. 6 plots the approximate eigenfunction on adaptive meshes, and Fig. 7 plots the errors of approximate eigenvalues , , , and . In this case, the discrete eigenvalue converges at the rate 1. We compute the extrapolation eigenvalue in (3.1) with . Since the eigenfunction is singular, the postprocessing scheme improves the accuracy of eigenvalues on uniform meshes without improving the convergence rate, while the extrapolation method can improve the convergence rate to 2.00. Fig. 7 also implies that the postprocessing scheme is also effective on adaptive meshes.
5.4. Example 4
Consider the model problem (2.5) on a Dumbbell-split domain with a slit . The boundary condition is . The initial triangulation is shown in Fig. 8.


Fig. 9 and Fig. 11 plot the first and the fourth eigenfunctions on adaptive meshes, respectively. Fig. 10 plots the relative errors of the first and the fourth eigenvalues by the Morley element, the extrapolation eigenvalue in (3.1), the adaptive eigenvalue , and the postprocessed eigenvalues and . The first eigenvalue converges at the rate 2, while the fourth eigenvalue only converges at the rate 1. This implies a relatively higher regularity of the first eigenfunction. This explains why the extrapolation method and postprocessing technique on uniform meshes even have better performance than adaptive methods. For the first eigenvalue, both the extrapolation method and the postprocessing technique can improve the convergence rate to 3. For the fourth eigenvalue, the convergence rate of eigenvalues by the postprocessing technique stays at 1, while that of eigenvalues by the extrapolation method (3.1) with increases to 2. For the case that the eigenfunction is not smooth enough, Fig. 10 shows that the proposed postprocessing technique is effective on both uniform meshes and adaptive meshes.




Acknowledgments
The authors are greatly indebted to Professor Jun Hu from Peking University for many useful discussions and the guidance. The first author also wishes to thank the partial support from the Center for Computational Mathematics and Applications, the Pennsylvania State University.
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