Trace operators of the bi-Laplacian and applications
Thomas F\"uhrer, Alexander Haberl, Norbert Heuer

TL;DR
This paper develops and analyzes trace operators related to the bi-Laplacian for ultraweak formulations of the bi-Laplace equation, enabling low-regularity solutions and demonstrating their effectiveness through numerical experiments.
Contribution
It introduces new trace operators and formulations for the bi-Laplacian that are well-posed under low regularity, extending to higher dimensions.
Findings
Two well-posed ultraweak formulations are proposed.
Numerical experiments confirm the effectiveness of the formulations.
Analysis applies to dimensions two and higher.
Abstract
We study several trace operators and spaces that are related to the bi-Laplacian. They are motivated by the development of ultraweak formulations for the bi-Laplace equation with homogeneous Dirichlet condition, but are also relevant to describe conformity of mixed approximations. Our aim is to have well-posed (ultraweak) formulations that assume low regularity, under the condition of an right-hand side function. We pursue two ways of defining traces and corresponding integration-by-parts formulas. In one case one obtains a non-closed space. This can be fixed by switching to the Kirchhoff-Love traces from [F\"uhrer, Heuer, Niemi, An ultraweak formulation of the Kirchhoff-Love plate bending model and DPG approximation, Math. Comp., 88 (2019)]. Using different combinations of trace operators we obtain two well-posed formulations. For both of them we report on numerical experimentsâŠ
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Trace operators of the bi-Laplacian and applications
â â thanks: Supported by CONICYT through FONDECYT projects 11170050, 1190009.
Thomas FĂŒhrer
Facultad de MatemĂĄticas, Pontificia Universidad CatĂłlica de Chile, Avenida Vicuña Mackenna 4860, Santiago, Chile, email: {tofuhrer,nheuer}@mat.uc.cl ââ
Alexander Haberl
Institute for Analysis and Scientific Computing, Technische UniversitĂ€t Wien, Austria, email: [email protected] ââ
Norbert Heuerâ
Abstract
We study several trace operators and spaces that are related to the bi-Laplacian. They are motivated by the development of ultraweak formulations for the bi-Laplace equation with homogeneous Dirichlet condition, but are also relevant to describe conformity of mixed approximations.
Our aim is to have well-posed (ultraweak) formulations that assume low regularity, under the condition of an right-hand side function. We pursue two ways of defining traces and corresponding integration-by-parts formulas. In one case one obtains a non-closed space. This can be fixed by switching to the KirchhoffâLove traces from [FĂŒhrer, Heuer, Niemi, An ultraweak formulation of the KirchhoffâLove plate bending model and DPG approximation, Math. Comp., 88 (2019)]. Using different combinations of trace operators we obtain two well-posed formulations. For both of them we report on numerical experiments with the DPG method and optimal test functions.
In this paper we consider two and three space dimensions. However, with the exception of a given counterexample in an appendix (related to the non-closedness of a trace space), our analysis applies to any space dimension larger than or equal to two.
Key words: bi-Laplacian, biharmonic operator, trace operator, fourth-order elliptic PDE, ultraweak formulation, discontinuous PetrovâGalerkin method, optimal test functions
AMS Subject Classification: 35J35, 74K20, 74S05, 65N30, 35J67
1 Introduction
The bi-Laplace operator and biharmonic functions have generated sustained interest in the mathematics community until today. Just in numerical analysis, MathSciNet reports well beyond 500 publications with these key words in their titles. An early overview of numerical methods for the Dirichlet problem of the bi-Laplacian is given by Glowinski and Pironneau in [16]. A more recent discussion can be found in the introduction of [5].
Our interest in this operator arose while studying the KirchhoffâLove plate bending model and its numerical approximation by the discontinuous PetrovâGalerkin method with optimal test functions (DPG method). It is well known that the KirchhoffâLove model (with constant coefficients) reduces to the bi-Laplace equation when considering the deflection of the plate as the only unknown.
In this paper we introduce and analyze trace operators that stem from the bi-Laplacian and relate to integration-by-parts formulas. Such operators are of general interest as they characterize interface conditions for (piecewise) sufficiently smooth functions to be globally in the domain of the bi-Laplacian, or the subordinated Laplacian when considering the Laplacian of the unknown as independent unknown. Specifically, this analysis is required to construct conforming finite element spaces of minimal regularity. Regularity is a delicate issue when splitting the bi-Laplace equation into two Laplace equations (explicitly, or implicitly through a mixed formulation). Early papers on this technique are by Ciarlet and Raviart [4], and Monk [20]. Regularity issues at corners have been analyzed, e.g., in [14, 7]. Thus, our aim is to use the least possible regularity subject to a given right-hand side function in . We note that Zulehner [21] presents a formulation (and space) where less regular right-hand side functions are permitted.
We consider Dirichlet boundary conditions, that is, a clamped plate in the two-dimensional case. Here we only note that, in principle, it is possible to study different boundary conditions, but the regularity of solutions will depend on them and some technical details can be tricky.
In the rest of this paper we motivate our definitions and analysis by requirements for the DPG method. For instance, the right-hand side function to be in is such a requirement. Considering this method, there are good reasons to use ultraweak variational formulations. From the mathematical point of view they simplify the analysis of well-posedness as they allow for exact representations of adjoint operators, cf. [8]. From a practical point of view they give access to approximations of field variables that are close to optimal in the sense, cf., e.g., [10, 18] for singularly perturbed problems. For general second order elliptic problems, the -optimality up to higher order terms is proved in [11]. Now, since field variables of ultraweak formulations are only -elements, the inherent regularity of the underlying problem is passed onto appearing traces. Therefore, the study of trace spaces is at the heart of proving well-posedness of ultraweak formulations. As explained before, the appearing traces (and trace spaces) are equally relevant for the underlying problem and other variational formulations as they precisely describe the notion of conformity and represent tools for its study.
It is the nature of DPG methods to use product test spaces (defined on meshes). This is a fundamental paradigm proposed by Demkowicz and Gopalakrishnan in [9]. For that reason, our traces will live in product spaces related to the boundaries of elements. Nevertheless, our results will apply to operations on domains without mesh, simply by using meshes that consist of a single element.
The remainder of this paper is as follows. In the next section we fix our model problem and introduce a setting needed to develop ultraweak variational formulations. This approach motivates the framework in which we study trace and jump operators, and trace spaces, and is presented in §3. Aiming at lowest regularity, we first develop a setting where the unknown of the bi-Laplace equation and its Laplacian (as independent unknown) are considered as elements of the same regularity (-functions whose Laplacian is in ). This is done in §3.2. Later, in §5, we present a variational formulation based on this framework, state its well-posedness and equivalence with the model problem (Theorem 11), and prove the quasi-optimal convergence of the induced DPG scheme (Theorem 12). For this formulation, discrete subspaces with good approximation properties seem to require coupled basis functions (trace components are not independent). This limits the practicality of the induced DPG scheme. We therefore also consider the option of using more regular test functions (then trace components can be approximated separately). This change gives rise to different trace operators ( acting on , and acting on ) and spaces. They are studied in §3.3. Unfortunately, it turns out that the image of is not closed (this is proved in Appendix A). We therefore embed this space in a larger, closed trace space known from our KirchhoffâLove traces studied in [13]. The corresponding variational formulation and DPG scheme are presented in §5, stating well-posedness and quasi-optimal convergence by Theorems 13 and 14, respectively. Proofs of Theorems 11 and 13 are given in §6. We do not provide a discrete analysis here, but we do present some numerical experiments in §7. They illustrate expected convergence properties.
One conclusion of our analysis is that the solution to the bi-Laplace equation with right-hand side function in and homogeneous boundary condition satisfies . Since we have not seen this result in the literature, we resume and prove this statement in Appendix C. There are, however, related -regularity results for the bi-Laplacian by Girault and Raviart in [15, §5] (dimensions and ), and by De Coster et al. [7] for corner-type domains in .
Throughout the paper, means that with a generic constant that is independent of the underlying mesh (except for possible general restrictions like shape-regularity of elements). Similarly, we use the notation .
2 Model problem
Let () be a bounded simply connected Lipschitz domain. (We remark that our analysis and results will apply to any space dimension , with the exception of Lemma 10 with respect to the Dirac distributions and the counterexample of Appendix A. Nevertheless, we restrict ourselves to since we will make use of some results from [13] which are true in any space dimension , but are only formulated for .)
The boundary of is denoted by with exterior unit normal vector . For given our model problem is
[TABLE]
We intend to develop an ultraweak formulation of (1) with product test spaces. To this end we consider a mesh that consists of general non-intersecting Lipschitz elements. To the mesh we assign the skeleton .
Introducing , we test the two equations , on any by sufficiently smooth functions and , respectively, and integrate by parts twice. This formally gives
[TABLE]
where denotes the -duality. We still have to interpret the dualities on denoted by . Summing over , we obtain, again formally,
[TABLE]
Here and in the following, denotes the -duality in the product space , meaning that appearing differential operators are taken piecewise with respect to . Below, we also use the notation of differential operators with index to indicate piecewise operations, e.g., . Furthermore, from now on, denotes a generic unit normal vector on () and , pointing outside and , respectively.
Before returning to our formulation (2) we need to study trace operators to give a meaning to the skeleton dualities appearing in (2). This will be done next, before returning to (2) in §4, and again in §5.
3 Traces and jumps
3.1 Spaces and norms
Given , and sufficiently smooth scalar (respectively, symmetric tensor) function (respectively, ), we define the norms , and by
[TABLE]
Here, is the -norm (for scalar and tensor-valued functions), denotes the symmetric gradient, that is, is the Hessian of , is the standard divergence operator, and is the divergence applied row-wise to tensors. Analogously, we use the corresponding norms on where we drop the index . For instance, is the -norm. We also need the -bilinear form , for scalar and tensor functions.
We define the spaces and as the closures of with respect to the norms and , respectively. Correspondingly, is the closure of the space of smooth symmetric tensors on with respect to . Analogously, and are the respective closures of and , with norms and , and is the closure with respect to of the space of smooth symmetric tensors on .
Given the mesh , we will need the induced product spaces
[TABLE]
with canonical product norms , , and , respectively. Here, indicates the space of symmetric -tensors on the indicated domain.
3.2 Traces and jumps, part one
We define linear operators for by
[TABLE]
and observe that, for sufficiently smooth functions and ,
[TABLE]
with -duality and standard trace and normal derivative. In other words, the trace operator can deliver standard traces (trace and normal derivative) on when diverting from the setting as a map from to its dual. This will be further discussed in §3.3 below. Note the duality
[TABLE]
The range of is
[TABLE]
Switching from individual elements to the whole of , a collective trace operator is defined by
[TABLE]
with duality
[TABLE]
To define a trace space that reflects the homogeneous boundary condition under consideration, we make use of the operator that is defined like by replacing with :
[TABLE]
Then, with
[TABLE]
we introduce the product trace spaces
[TABLE]
Below, we refer to elements of such skeleton trace spaces in the form, e.g., .
The local and global trace spaces are equipped with the canonical trace norms,
[TABLE]
(Obviously, is a subspace of . But here, and in some instances below, we write to stress the fact that both spaces are furnished with the same norm.) Alternative norms are defined by duality,
[TABLE]
Here, the dualities on and are given by the corresponding trace operations, (3) for the local spaces and (5) on . For instance, the duality between and is with arbitrary such that .
Lemma 1**.**
It holds the identity
[TABLE]
so that
[TABLE]
has unit norm and is closed.
Proof.
The proof is essentially identical to the one of Lemma 3.2 in [13]. We just need to replace spaces, operators and norms by the ones used here. For the convenience of the reader we repeat the proof.
The estimate is due to the boundedness
[TABLE]
To show the other direction we consider an element and , and define by solving
[TABLE]
One deduces that
[TABLE]
We then define as the solution to
[TABLE]
Again, it holds
[TABLE]
Let us show that . To this end we define and find that cf. (8). Using this relation, and the definitions of and , cf. (3), we obtain
[TABLE]
for any . This shows that solves (9), that is, . Due to this relation and , it follows by (7) that
[TABLE]
In other words, . This relation together with selecting in (7) and in (9), shows that
[TABLE]
Noting that by (10), this relation finishes the proof of the norm identity. The space is closed as the image of a bounded below operator. â
Proposition 2**.**
(i) For it holds
[TABLE]
and
[TABLE]
(ii) The identity
[TABLE]
holds true.
Proof.
The proof of (i) follows the standard procedure, cf. [1, Proof of Theorem 2.3] and [13, Proof of Proposition 3.8(i)]. For and we have that
[TABLE]
The penultimate step is due to (6), and the last identity holds since by definition of . This is the direction ââ in both statements of part (i).
Now, for given with for any we have in the distributional sense
[TABLE]
Therefore, , that is, .
Analogously, if for any , we conclude as before that . Then,
[TABLE]
implies that , cf. (6). That is, .
It remains to prove (ii). Here we follow [13, Proof of Proposition 3.8(ii)]. By definition of the norms it holds for any . To show the other bound let be given with such that . Furthermore, for any , there exists such that and . Defining by () we find with part (i) that with . Therefore,
[TABLE]
which was left to prove. â
Proposition 3**.**
It holds the identity
[TABLE]
In particular,
[TABLE]
have unit norm and , are closed.
Proof.
Having the tools at hand, the proof is standard (cf., e.g., [1, Theorem 2.3] and [13, Proposition 3.5]). By definition of the involved norms, a duality argument in product spaces, Lemma 1 and Proposition (2)(ii) one finds that
[TABLE]
The spaces and are closed as the images of bounded below operators. â
3.3 Traces and jumps, part two
As it is not straightforward to discretize the range of (where the trace components are coupled), we proceed to introduce different trace operators and spaces. According to the regularity of (the solution of (1)) and (which will be represented by an independent variable) we consider two different cases.
3.3.1 Trace of .
Let us start by defining a trace operator that takes instead of as domain (). It is the restriction of , cf. (3),
[TABLE]
Similarly as before, we have the duality relation
[TABLE]
The corresponding collective trace operator (including boundary conditions) is
[TABLE]
with duality
[TABLE]
The ranges of these operators are denoted by
[TABLE]
As before, the local and global trace spaces are equipped with canonical trace norms,
[TABLE]
and alternative norms are induced by the respective duality,
[TABLE]
It goes without saying that the dualities on and are defined by the corresponding trace operations (3) (generically for any local space), and (11) on . For instance, the duality between and is with arbitrary such that .
It is immediate that all the trace operators are bounded both with respect to the respective canonical trace norm and the respective duality norm.
Remark 4**.**
The trace operator gives rise to two components, for . On a non-smooth boundary , they are generally not independent. That is, this trace operator does not map surjectively onto the product space of separate traces, and , cf. Grisvard [17]. In [6], Costabel and Dauge discuss this subject including dual spaces.
Proposition 5**.**
It holds the identity
[TABLE]
In particular,
[TABLE]
has unit norm and is closed.
Proof.
Let be given. By definition of the norms, one sees that for any with . Since
[TABLE]
(cf. [2, (1.2.8)]) we conclude that .
To show the other inequality, we define () as the solution to
[TABLE]
and introduce functions , with and (). We conclude that and . Furthermore, since , , and also using relation (12) we find that
[TABLE]
Finally, we observe that
[TABLE]
Here, we made use of the relation . Collecting the findings we conclude that
[TABLE]
This yields
[TABLE]
and finishes the proof. â
Remark 6**.**
Comparing the results for our trace operators (Proposition 3) and (Proposition 5) one notices that there is no result for the local operator that corresponds to Lemma 1. The reason for the lack of such a local property is that relation (12) requires homogeneous boundary conditions.
Proposition 7**.**
For it holds
[TABLE]
Proof.
The proof is analogous to that of Proposition 2(i). The direction ââ follows by integration by parts and density arguments. The other direction is proved by taking with for any , and concluding that so that . â
3.3.2 Trace of .
Now let us turn to possible trace operations for ( representing a function with a regularity according to the solution of (1)). Obviously, since by assumption, by (1a). That is why we have considered the trace operator in §3.2. Since we have restricted the domain for the definition of , duality considerations reveal that we now have to consider extended traces by testing with -functions. This seems to force to define an operator
[TABLE]
with corresponding collective trace operator , and trace norms and norms defined by duality with . Again, this operator gives rise to two components,
[TABLE]
and
[TABLE]
cf. (4). For a smooth boundary , the two components are independent as in that case the operator maps onto . Here, denotes the space of traces onto of -functions, and is that of the normal derivatives. Glowinski and Pironneau give details in [16, Props 2.3, 2.4] and refer to Lions and Magenes for a proof, see [19, Chapter 2: Theorem 6.5, Section 9.8 (p. 213)]. However, on a polygonal element , the trace operator is not surjective onto . This has been indicated by Costabel and Dauge in [6]. Furthermore, it turns out that in general the operator is not bounded below. We give a counterexample in the appendix.
For these reasons we avoid to employ the seemingly obvious choice (13). Instead, we take a trace operator defined in [13]. It can be interpreted as an extension of to a larger domain, see Lemma 10 below. Let us repeat some definitions and needed properties from [13].
We introduce trace operators for by
[TABLE]
with the collective variant defined as
[TABLE]
with duality
[TABLE]
The range of is denoted by
[TABLE]
and provided with the trace norm
[TABLE]
or the duality norm
[TABLE]
Here, the duality is defined as
[TABLE]
with
[TABLE]
Proposition 8** ([13, Proposition 5]).**
It holds the identity
[TABLE]
In particular,
[TABLE]
has unit norm and is closed.
Proposition 9** ([13, Proposition 8]).**
For the following equivalence holds,
[TABLE]
Now, the connection between and is as follows. For given , it holds since , and one concludes that
[TABLE]
It is clear that is not surjective. Furthermore, since traces of images of do not have jump terms at vertices of which are present in the case of traces of , see [13], it is clear that does not map surjectively onto .
Let us note this result.
Lemma 10**.**
[TABLE]
is bounded but not surjective. In particular, Dirac distributions at boundary points, (, , with ) are elements of but not of .
The fact that is illustrated in Appendix B.
4 First variational formulation and DPG approximation
Let us continue to develop a variational formulation of (1). Considering the trace operator from §3.2, our preliminary formulation (2) now reads
[TABLE]
In this case, test functions and come from . Therefore, introducing independent trace variables , , and spaces
[TABLE]
with respective norms
[TABLE]
our first ultraweak variational formulation of (1) is
[TABLE]
in strong form written as . Here,
[TABLE]
and refers to the duality between (including ) and implied by (5).
Theorem 11**.**
The operator is continuous and bounded below. In particular, for any function , there exists a unique and stable solution to (17),
[TABLE]
with a hidden constant that is independent of and . Furthermore, (1) and (17) are equivalent: If solves (1) then solves (17); and if solves (17) then is element of and solves (1).
For a proof of this theorem we refer to Section 6.
A DPG approximation with optimal test functions based on formulation (17) is as follows. We select discrete spaces and test spaces where is the trial-to-test operator defined by
[TABLE]
Here, is the inner product in that generates the selected norm \bigl{(}\|\cdot\|_{\Delta,\mathcal{T}}^{2}+\|\cdot\|_{\Delta,\mathcal{T}}^{2}\bigr{)}^{1/2}.
Then, an approximation is defined as the solution to
[TABLE]
Being a minimum residual method it delivers the best approximation of the exact solution in the residual norm , cf., e.g., [8]. Then, using the equivalence of the norms and stated by Theorem 11, we obtain its quasi-optimal convergence in the latter norm.
Theorem 12**.**
Let be given and let be the solution of (17). For any finite-dimensional subspace there exists a unique solution to (19). It satisfies the quasi-optimal error estimate
[TABLE]
with a hidden constant that is independent of , and .
5 Second variational formulation and DPG approximation
Let us reconsider the preliminary formulation (2). We make use of the regularity . Then, the variable replaces instead of . We then use test functions instead of . This means that we have a trace (cf. Lemma 10) rather than . This corresponds to using the spaces
[TABLE]
with respective norms
[TABLE]
The corresponding ultraweak variational formulation is:
[TABLE]
Here, the bilinear form is defined similarly as in (18), namely
[TABLE]
Specifically, the duality is the one induced by (11) analogously as before, and is defined by (16). For consistency with trace definitions we have changed the sign in front of the latter duality, cf. Lemma 10.
We refer to the strong form of (20) as .
Theorem 13**.**
The operator is continuous and bounded below. In particular, for any function , there exists a unique solution of (20). It holds the bound
[TABLE]
with a hidden constant that is independent of and . Furthermore, (1) and (20) are equivalent: If solves (1) then solves (20); and if solves (20) then solves (1).
A proof of this result is given in Section 6.
The corresponding DPG approximation uses discrete spaces and test spaces where the trial-to-test operator is defined by
[TABLE]
with inner product that induces the norm \bigl{(}\|\cdot\|_{2,\mathcal{T}}^{2}+\|\cdot\|_{\Delta,\mathcal{T}}^{2}\bigr{)}^{1/2} in . The approximation is defined analogously as before,
[TABLE]
Again, this scheme converges quasi-optimally, see Theorem 12.
Theorem 14**.**
Let be given and let be the solution of (20). For any finite-dimensional subspace there exists a unique DPG approximation defined by (21). It satisfies the quasi-optimal error estimate
[TABLE]
with a hidden constant that is independent of , and .
6 Proofs of Theorems 11 and 13
We start by showing unique and stable solvability of the (self) adjoint problem to (1), with continuous spaces.
Lemma 15**.**
For given , there exists a unique solution of
[TABLE]
It satisfies
[TABLE]
with a constant that is independent of , and .
Proof.
We write a variational formulation for . Applying to (22a) and using (22b), this gives the relation
[TABLE]
Testing with and integrating by parts we see that solves
[TABLE]
By standard arguments, this problem has a unique solution with bound
[TABLE]
Here, we made use of (12). Using PoincarĂ©âs inequality we conclude that
[TABLE]
A unique solution of (22) is then obtained by setting , with bound
[TABLE]
This finishes the proof. â
6.1 Proof of Theorem 11.
Well-posedness of (17).
We check the standard conditions. The boundedness of and holds by definition of the norms in and .
The injectivity of the adjoint operator can be seen as follows. Let be such that for any . The selection of for any reveals that by Proposition 2(i). Analogously, selecting with arbitrary , Proposition 2(i) shows that . We conclude that solves and . It follows that . Since , so that , relation (6) shows that . In particular, . Now, defining as the solution to , and again using (6), we find that that is, .
It remains to check the infâsup condition
[TABLE]
To this end we employ the technique proposed by Carstensen et al. in [1]. To simplify reading let use relate our notation to the one in [1].
[TABLE]
According to [1, Theorem 3.3] it suffices to show the two infâsup properties
[TABLE]
and the identity
[TABLE]
This identity is true by Proposition 2. Lemma 15 shows that (24) holds:
[TABLE]
Finally, Proposition 3 shows that (6.1) is satisfied. This finishes the proof of (23), and of the theorem.
Equivalence of (1) and (17).
By construction of (17), any solution of (1) provides a solution of (17). In fact, the regularity , together with , is sufficient for this conclusion.
To see the other direction we use that (17) is uniquely solvable. Its solution satisfies and solves in , as can be seen as follows. Selecting smooth test functions and with supports on individual elements, one obtains and , first in the distributional sense and then in by the regularity . Second, denoting as usual , , and using test functions for , one concludes that and for any so that and by Proposition 2. Altogether, solves . Since any such function leads to a solution of (17), as noted before, one concludes the stronger regularity by uniqueness of (17). Therefore, solves (1).
6.2 Proof of Theorem 13.
The proof of Theorem 13 is analogous to the one of Theorem 11. The equivalence between (1) and (20) holds as before. To show the well-posedness of (20) we repeat the steps that show the well-posedness of (17) where we only have to replace the corresponding ingredients. Specifically, the injectivity of is obtained by using Propositions 7 and 9 instead of Proposition 2(i) to deduce the continuity of satisfying . Then Lemma 15 shows that .
The infâsup condition for , corresponding to (23), is shown by the same framework, based on the two infâsup conditions
[TABLE]
and the identity
[TABLE]
This identity is true by Propositions 7 and 9, and (27) holds as we have seen with (6.1). Finally, Propositions 5 and 8 show that (28) is satisfied.
7 Numerical examples
According to Theorems 12 and 14, any conforming subspaces and yield quasi-optimal approximations and , respectively, of the solution(s) and to (17) and (20), respectively. (In fact, .) Here, solves (1), and and are the solutions of (19) and (21), respectively.
The construction of discrete subspaces of and and their approximation properties is ongoing research. In the case of the KirchhoffâLove model we have presented a fully discrete analysis in [12]. Here, we only select some discrete spaces in an ad hoc fashion and present the corresponding convergence results without proving any convergence orders. Also, the construction of appropriate Fortin operators (needed to take the approximation of optimal test functions into account) is left open. Test functions are approximated by selecting identical meshes for ansatz and test spaces, and increasing polynomial degrees in the test spaces (see [12] for details).
Specifically, we consider the two-dimensional case , and use regular triangular meshes of shape-regular elements, with mesh parameter . The DPG method provides a built-in error estimator, the residual norm . (We generically use and select or as needed.) By the product form of the test spaces, is composed of local element contributions For the case with singular solution we use these indicators to perform adaptive DPG schemes, based on newest-vertex-bisection and Dörfler marking with parameter of one half.
7.1 Example with smooth solution
We take and use the manufactured solution .
To compare the approximations given by the schemes (19) and (21), we use piecewise constant functions on uniform meshes for and , and traces of the reduced HsiehâCloughâTocher (HCT) functions for both and (). These HCT traces use piecewise cubic polynomials for (standard) traces on edges and piecewise linear polynomials for normal derivatives on edges, subject to the regularity of stemming from -functions. For the reduced HCT elements we refer to [3], and the traces we use are described in [13].
Figure 1 presents the approximation errors for and along with the corresponding residual . The results for scheme (19) are on the left and for (21) on the right. It appears that in both cases we have an asymptotical behavior of . This is expected for lowest order approximations of a smooth function.
7.2 Example with singular solution
The next example is taken from [13]. We consider the non-convex domain from Figure 2 with reentrant corner at . The outer angle at this corner is . We take the manufactured solution
[TABLE]
with polar coordinates centered at the origin. It holds For the boundary conditions we prescribe the values of and . The parameters and are chosen such that and its normal derivative vanish on the boundary edges that meet at the origin. Here, we have and . It holds but .
The numerical results for the two schemes (19) (on the left) and (21) (on the right) are shown in Figure 3. As before, we plot the -errors for and along with the corresponding residual . In both cases the schemes converge at a low rate when using quasi-uniform meshes (curves without label âadapâ), variant (19) being extremely slow. The rates exhibited by the second scheme are as expected by the regularity of . However, scheme (19) seems to suffer from the approximation of by smooth -traces. This is clearly not an efficient basis. We can only claim convergence based on a density argument.
We have also used adaptive variants of both DPG schemes (curves with label âadapâ in the same figures). It turns out that the second scheme (21) recovers its optimal rate of . On the other hand, the residual and error of the first scheme converge as slowly as before. Again, this seems to be caused by the inappropriate basis for . It is an open problem to construct discrete trace spaces that improve the convergence rate of scheme (19) for non-smooth solutions.
Appendix A The space is not closed in .
We give an example for the two-dimensional case and conjecture that the result is true in arbitrary space dimension , replacing the Dirac delta below by distributions supported on -simplexes.
We consider a domain in with a vertex, for instance the open triangle with vertices , , . The construction that follows also works for a Lipschitz domain where part of the boundary (connected, non-zero relative measure) is , considering an interior point of this smooth part instead of a vertex.
Let us recall the definition of the trace operator , cf. (13),
[TABLE]
To show that is not closed we construct a sequence of smooth functions (e.g., with positive integer ) so that the corresponding trace sequence converges in to the Dirac distribution at . This distribution is an element of the trace space , cf. [13], but it is not the trace of an -function, cf. Lemma 10 and Appendix B.
We remark that this construction does not contradict the closedness of the trace space proved by Lemma 1. Indeed, Dirac distributions at boundary points are not elements of since, e.g., satisfies (because ), but its value at is not controlled.
We start by considering the mollifier type functions
[TABLE]
where is chosen such that . Note that is independent of .
In the following let us denote and . We need two technical results.
Lemma 16**.**
We have that
[TABLE]
(Here and in the following, denotes the -norm.)
Proof.
Since takes its maximum at we can bound
[TABLE]
â
Lemma 17**.**
Let and with . It holds the bound
[TABLE]
with hidden constant independent of and .
Proof.
The statement follows in the standard way by using the continuous embedding , a PoincarĂ© inequality, and scaling arguments. â
Now, using , we define by
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Theorem 18**.**
Let denote the Dirac distribution supported at , that is, for . It holds
[TABLE]
Proof.
Since is smooth we can represent its trace as
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To obtain a representation of we note that for , and its derivatives vanish on the edge spanned by the nodes , . Second, we have that
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Let . Then, and
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Here, is the (local) arc length of starting at . Similarly, we calculate where is the arc length of starting at .
Now, for , we find that
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with -duality , and correspondingly for . Note that
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We obtain the very same estimate replacing by . Lemma 16 then proves that
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To rewrite and estimate the term we use the representation (29) and the fact that . This shows that
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Analogously it holds
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The last term in the latter two estimates can be estimated as follows (we only consider the first one). Since , Lemma 17 and a trace inequality show that
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Now, using the delta distribution , we therefore obtain for any
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This bound, together with (30), shows that
[TABLE]
when . This finishes the proof. â
Appendix B The Dirac mass is not an element of .
The following argument is essentially the observation that fundamental solutions to the Laplacian (in any space dimension ) are not bounded. For illustration we show details for the case . Without loss of generality we assume that is the upper half of a circle with center and radius 1. (A smoothness of the boundary apart from Lipschitz continuity is not needed in our construction.) We define the points and consider the sequence
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Since this sequence converges pointwise in to and is bounded in , it converges in to . It also converges in to because in .
Now we argue by contradiction. Suppose there exists with (the Dirac delta supported at ), i.e., for all .
Since the value has to be finite. Moreover, since in as , . However, since we conclude that
[TABLE]
This contradicts .
Appendix C On the regularity of solutions to the bi-Laplace problem.
We note a regularity result for the bi-Laplacian. Generally, a solution to problem (1) is a priorily sought in . In this respect, (12) is a fundamental relation to show the ellipticity (coercivity) of the induced bilinear form . On the other hand, for a right-hand side function , the proof of Theorem 11 shows that this regularity is automatically satisfied.
Theorem 19**.**
Let with . It holds so that, in particular, .
Proof.
By assumption, satisfies . The proof of Theorem 11 shows that this problem has a unique solution . Then, holds by (12). â
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