Fractional Operators with Inhomogeneous Boundary Conditions: Analysis, Control, and Discretization
Harbir Antil, Johannes Pfefferer, Sergejs Rogovs

TL;DR
This paper develops new spectral fractional Laplacian definitions for nonhomogeneous boundary conditions, applies them to fractional elliptic equations, and introduces finite element discretizations with error estimates and control applications.
Contribution
It introduces novel characterizations of spectral fractional Laplacian for inhomogeneous boundary conditions and develops associated discretization and control methods.
Findings
New spectral fractional Laplacian characterizations for nonhomogeneous boundaries
Finite element discretization with proven error estimates
Numerical validation of discretization accuracy
Abstract
In this paper we introduce new characterizations of spectral fractional Laplacian to incorporate nonhomogeneous Dirichlet and Neumann boundary conditions. The classical cases with homogeneous boundary conditions arise as a special case. We apply our definition to fractional elliptic equations of order with nonzero Dirichlet and Neumann boundary condition. Here the domain is assumed to be a bounded, quasi-convex Lipschitz domain. To impose the nonzero boundary conditions, we construct fractional harmonic extensions of the boundary data. It is shown that solving for the fractional harmonic extension is equivalent to solving for the standard harmonic extension in the very-weak form. The latter result is of independent interest as well. The remaining fractional elliptic problem (with homogeneous boundary data) can be realized using the existing techniques. We…
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Fractional Operators with Inhomogeneous Boundary Conditions:
Analysis, Control, and Discretization ††thanks: The work of the first and second author is partially supported by NSF grant DMS-1521590.
Harbir Antil Department of Mathematical Sciences, George Mason University, Fairfax, VA 22030, USA. [email protected]
Johannes Pfefferer Chair of Optimal Control, Technical University of Munich, Boltzmannstraße 3, 85748 Garching by Munich, Germany. [email protected]
Sergejs Rogovs Institut für Mathematik und Bauinformatik, Universität der Bundeswehr München, 85577 Neubiberg, Germany. [email protected]
Abstract
In this paper we introduce new characterizations of the spectral fractional Laplacian to incorporate nonhomogeneous Dirichlet and Neumann boundary conditions. The classical cases with homogeneous boundary conditions arise as a special case. We apply our definition to fractional elliptic equations of order with nonzero Dirichlet and Neumann boundary condition. Here the domain is assumed to be a bounded, quasi-convex Lipschitz domain. To impose the nonzero boundary conditions, we construct fractional harmonic extensions of the boundary data. It is shown that solving for the fractional harmonic extension is equivalent to solving for the standard harmonic extension in the very-weak form. The latter result is of independent interest as well. The remaining fractional elliptic problem (with homogeneous boundary data) can be realized using the existing techniques. We introduce finite element discretizations and derive discretization error estimates in natural norms, which are confirmed by numerical experiments. We also apply our characterizations to Dirichlet and Neumann boundary optimal control problems with fractional elliptic equation as constraints.
keywords:
Modified spectral fractional Laplace operator, nonzero boundary conditions, very weak solution, finite element discretization, error estimates.
**AMS subject classification **35S15, 26A33, 65R20, 65N12, 65N30, 49K20
1 Introduction
Let with be a bounded open set with boundary . We will specify the regularity of the boundary in the sequel. The purpose of this paper is to study existence, uniqueness, regularity, and finite element approximation of the following nonhomogeneous Dirichlet boundary value problem
[TABLE]
Here and are measurable functions on and respectively, and satisfy certain conditions (that we shall specify later), and denotes the modified spectral fractional Laplace operator with nonzero boundary conditions.
The nonlocality of makes (1.1) challenging. Nevertheless, when the definition of the resulting nonlocal operator incorporates the zero boundary conditions and has been well studied, see [17, 40, 14, 16, 19, 18, 37], however the case has been neglected by all these references. Imposing nonzero boundary conditions in the nonlocal setting is highly nontrivial, which is the purpose of our paper. We will accomplish this by introducing a new characterization of . We define our operator as
[TABLE]
where and denote the eigenvalues and eigenfunctions of the Dirichlet Laplacian, see Section 2.3 for details. Obviously, if almost everywhere on the boundary then , see also Proposition 2.8. Notice at this point that one cannot apply to functions with nonzero boundary conditions as long as measuring traces is reasonable, see Section 2.1 for details. In contrast, in Section 2.3, we will exemplarily illustrate that is meaningful in that case. Moreover, if we set then (1.2) gives us
[TABLE]
i.e., the spectral characterization of the standard Laplacian (see Proposition 2.8 for details). In other words, our characterization of is a natural extension of . In addition, in Proposition 2.8, we will see that the semigroup property is valid.
To the best of our knowledge, there is only one work which is concerned with inhomogeneous boundary conditions in the context of the spectral fractional Laplacian. More precisely, in [1] the authors study well-posedness of
[TABLE]
where is a reference function with a prescribed singular behavior at the boundary. The (very) weak formulation of (1.3) is given by
[TABLE]
see [1, Definition 3]. This formulation even allows for data in measure spaces. However, we emphasize that they do not impose a boundary condition of the type but instead consider , where is a reference function with a prescribed singular behavior at the boundary.
In contrast, in Section 3, we will prove the integration-by-parts type formula
[TABLE]
where is defined as the solution to
[TABLE]
Based on this, we can show that the (very) weak formulation of (1.1) is given by
[TABLE]
Thus, the condition within our formulation can be interpreted as a Dirichlet boundary condition.
From a practical point of view but also for the purpose of analyzing problem (1.1), at first, we use a standard lifting argument by constructing a fractional harmonic map
[TABLE]
It may seem at first glance that solving (1.4) is as complicated as solving the original problem (1.1). However, we show that solving (1.4) is equivalent to solving
[TABLE]
i.e., the standard Laplace equation in the very-weak form. To get , it remains to find solving
[TABLE]
then . Thus instead of looking for directly, we are reduced to solving (1.5) and (1.6) for and , respectively.
Both (1.5) and (1.6) have received a great deal of attention, we only refer to [32, 12, 22, 34, 5, 8, 7] for the first case and [17, 40, 14, 16, 19, 18, 37, 13, 4, 35] for the latter. We will show that both (1.5) and (1.6) are well-posed (solution exists and is unique) thus (1.1) is well-posed as well.
For the numerical computation of solutions of (1.5), we rely on well established techniques, see for instance [12, 8, 7]. It is even possible to apply a standard finite element method especially if the boundary datum is regular enough. However, the numerical realization of the nonlocal operator in (1.6) is more challenging. Several approaches have been advocated, for instance, computing the eigenvalues and eigenvectors of (cf. [39]), Dunford-Taylor integral representation [13], or numerical schemes based on the Caffarelli-Silvestre (or the Stinga-Torrea) extension, just to name a few. In our work, we choose the latter even though the proposed ideas directly apply to other approaches where appears, for instance [13]. Notice that the aforementioned extension of Caffarelli-Silvestre (or the Stinga-Torrea) is only applicable to and not directly to the operator in (1.1).
The extension approach was introduced in [17] for , see its extensions to bounded domains [19, 40]. It states that can be realized as an operator that maps a Dirichlet boundary condition to a Neumann condition via an extension problem on the semi-infinite cylinder , i.e., a Dirichlet-to-Neumann operator. A first finite element method to solve (1.6) based on the extension approach is given in [37]. This was applied to semilinear problems in [4]. In the context of fractional distributed optimal control problems, the extension approach was considered in [3] where related discretization error estimates are established as well.
An additional advantage is that our characterization allows for imposing other types of nonhomogeneous boundary conditions such as Neumann boundary conditions (see sections 2.4 and 5) and that it immediately extends to general second order fractional operators (see Section 8).
We remark that the difficulties in imposing the nonhomogeneous boundary conditions are not limited to the spectral fractional Laplacian. In fact, the integral definition of fractional Laplacian [2] requires imposing boundary conditions on . On the other hand, the so-called regional definition of fractional Laplacian with nonhomogeneous boundary conditions may lead to an ill-posed problem when , see [29, 42].
This paper is organized as follows: We state the definitions of and in Sections 2.1 and 2.2. Moreover, we introduce the relevant function spaces. Some of the material in these sections is well-known. However, we recall it such that the paper is self-contained. Our main work begins from Section 2.3 where we first state the new characterization of Dirichlet fractional Laplacian. Next we discuss the Neumann case in Section 2.4. In Section 3 we state two not so well known trace theorems for functions in bounded Lipschitz domains and prove integration-by-parts type formulas for the spectral fractional Laplacians. Subsequently, in Section 4, we analyze the boundary value problem (1.1) and derive a priori finite element error estimates. In Section 5, we study corresponding results for the nonhomogeneous Neumann problem. Afterwards, in Section 6, we consider Dirichlet and Neumann boundary optimal control problems with fractional elliptic PDEs as constraints. We verify our theoretical rates of convergence via two numerical examples in Section 7. We provide further extensions to general second order elliptic operators in Section 8.
2 Spectral Fractional Laplacian
In this section, without any specific mention, we will assume that the boundary is Lipschitz continuous.
2.1 Zero Dirichlet Boundary Data
Let be the realization in of the Laplace operator with zero Dirichlet boundary condition. It is well-known that has a compact resolvent and its eigenvalues form a non-decreasing sequence satisfying . We denote by the orthonormal eigenfunctions associated with . It is well known that these eigenfunctions form an orthonormal basis of .
For , we define the fractional order Sobolev space
[TABLE]
and we endow it with the norm defined by
[TABLE]
where the semi-norm is defined by
[TABLE]
The fractional order Sobolev spaces on the boundary with are defined in the same manner. We also let
[TABLE]
where denotes the space of test functions on , that is, the space of infinitely continuously differentiable functions with compact support in , and
[TABLE]
with norm
[TABLE]
We further introduce the dual spaces of and , and denote them by and , respectively.
For any , we also define the following fractional order Sobolev space
[TABLE]
where we recall that are the eigenvalues of with associated normalized eigenfunctions and
[TABLE]
It is well-known that
[TABLE]
The dual space of will be denoted by .
The fractional order Sobolev spaces can be also defined by using interpolation theory. That is, for every ,
[TABLE]
and
[TABLE]
Definition 2.1**.**
The spectral fractional Laplacian is defined on the space by
[TABLE]
By observing that
[TABLE]
for any , the operator extends to an operator mapping from to by density. Moreover, we notice that in this case we have
[TABLE]
In addition, the following estimate holds by definition of the spaces , , , and , and by relation (2.3).
Proposition 2.2**.**
If with then there exists a constant such that
[TABLE]
A Counter Example
The purpose of this example is to illustrate that in general Definition 2.3 cannot be applied to functions with nonzero boundary conditions as long as measuring traces is reasonable. Towards this end, we first observe that the operator can be extended to an operator mapping from to , see the foregoing explanations for the special case . Next, we apply this operator to the function as follows: We set . Thus, there holds and . Basic calculations yield
[TABLE]
Moreover, we get for
[TABLE]
We observe that the series on the right hand side of the above inequality is not convergent. Consequently, whenever it is possible to measure the Dirichlet trace in the classical sense, the fractional operator from Definition 2.3 cannot be applied. In [1, Introduction] it is shown that in case of the application of the fractional Laplacian to the function yields the killing measure. In Section 2.3 we will show that with our definition of fractional Laplacian introduced in Section 2.3, the issues discussed above can be fixed.
2.2 Zero Neumann Boundary Data
Let be the realization of the Laplace operator with zero Neumann boundary condition. It is well-known that there exists a sequence of nonnegative eigenvalues satisfying with and corresponding eigenfunctions in . We have that , , for all . Moreover, the eigenfunctions form an orthonormal basis of .
For any we define the fractional order Sobolev spaces [18]:
[TABLE]
Notice that any function belonging to fulfills .
Furthermore, we denote by the dual space of .
Definition 2.3**.**
For any function with we define the spectral fractional Laplacian by
[TABLE]
As in the previous section for the Dirichlet Laplacian, the operator can be extended to an operator mapping from to . Notice as well that and Thus we have
[TABLE]
We next recall [18, Lemma 7.1].
Proposition 2.4**.**
For any , if and only if and . In addition, the norm in (2.7) is equivalent to the seminorm defined in (2.2).
Remark 2.5**.**
According to Proposition 2.4, we have that
[TABLE]
Due to this, the Neumann Laplacian from Definition 2.3 is also extendable to an operator mapping from to . However, since we are going to treat associated boundary value problems, we consider the Neumann Laplacian with the mapping properties from above to ensure uniqueness of the solution.
2.3 Nonzero Dirichlet Boundary Data
To motivate our definition of fractional Laplacian with nonzero Dirichlet boundary datum, we first derive such a characterization for the standard Laplacian.
Proposition 2.6**.**
For any we have that
[TABLE]
fulfills a.e. in .
Proof.
Standard integration-by-parts formula yields
[TABLE]
where in the last equality we have used the fact that are the eigenfunctions of the Laplacian with eigenvalues . This yields the desired characterization having in mind that the eigenfunctions form an orthonormal basis of . ∎
By density results, the operator extends to an operator mapping from to in the classical way.
We are now ready to state our definition of the fractional Laplacian .
Definition 2.7** (nonzero Dirichlet).**
We define the spectral fractional Laplacian on by
[TABLE]
Let us set
[TABLE]
We observe that for any there holds
[TABLE]
where we used the orthogonality of the eigenfunctions . Thus the operator can be extended to an operator mapping from
[TABLE]
to , cf. Section 4 where we solve associated boundary value problems.
We notice that Definition 2.7 obeys the following fundamental properties.
Proposition 2.8**.**
Let be as in Definition 2.7 then the following holds:
- (a)
When we obtain the standard Laplacian (2.8). 2. (b)
For any there holds
[TABLE]
a.e. in , i.e., we recover the Definition 2.1. 3. (c)
For any and any there is the identity
[TABLE]
a.e. in .
Proof.
The first two assertions are easy to check, thus we only elaborate on the last one. Let and define
[TABLE]
Using the orthogonality of the eigenfunction and (2.9), we obtain for any and for any with
[TABLE]
where the last term is bounded independent of and since . Thus, according to the Cauchy criterion, the limit exists in . Moreover, we can choose the parameter such that which implies zero trace of according to the definition of . Combining the last two observations, we are able to apply to . To this end, we define
[TABLE]
As before we deduce for any with
[TABLE]
where the last term is bounded independent of and since . Again, due to the Cauchy criterion, the limit exists in This allows us to conclude
[TABLE]
where we used the orthogonality of the eigenfunctions several times, and (2.9). Since represents an orthonormal basis of , we get the desired result. ∎
A fix to the counter example
Towards this end we shall apply our definition of fractional Laplacian to the example discussed in Section 2.1. Since , we have
[TABLE]
Recall that
[TABLE]
It is easy to check that
[TABLE]
This yields that
[TABLE]
Then
[TABLE]
2.4 Nonzero Neumann Boundary Data
As in Section 2.3, in order to motivate our definition for the fractional nonhomogeneous Neumann Laplacian, we first derive such a characterization for the standard Laplacian.
Proposition 2.9**.**
For any we have that
[TABLE]
fulfills a.e. in .
Proof.
Standard integration-by-parts formula yields
[TABLE]
where in the last equality we have used the fact that are the eigenfunctions of Laplacian with eigenvalues . This yields the desired representation of having in mind that represents an orthonormal basis of , and that
[TABLE]
∎
As for the Dirichlet Laplacian, if , the operator can be extended to an operator mapping from to in the classical way. We are now ready to state our definition of fractional Laplacian with nonzero Neumann boundary conditions.
Definition 2.10** (nonzero Neumann).**
We define the spectral fractional Laplacian on by
[TABLE]
Note that we have by construction. However, different types of normalization are possible as well. Similar to the foregoing section, let us set
[TABLE]
For any we observe that
[TABLE]
where we employed the orthogonality of the eigenfunctions . From (2.13) it follows that then under the assumption that , the operator is extendable to an operator mapping from
[TABLE]
to , see also Section 5 where associated boundary value problems are considered.
Similar to the Dirichlet case, we get the following properties.
Proposition 2.11**.**
Let be as in Definition 2.10 then the following holds:
- (a)
When we obtain the standard Laplacian (2.11). 2. (b)
For any with there holds
[TABLE]
a.e. in , i.e., we recover the Definition 2.3. 3. (c)
For any and for any with there is the identity
[TABLE]
a.e. in .
Proof.
The first two assertions are again easy to check. To show the third one, let with and define
[TABLE]
Using the orthogonality of the eigenfunctions several times, and (2.12), we deduce for any and for any with
[TABLE]
where the last term is bounded independent of and since . Thus, according to the Cauchy criterion, there exists a function with
[TABLE]
Next, using the definition and the orthogonality of the eigenvalues and eigenfunctions once again, we deduce
[TABLE]
where the last term is again bounded independent of and since . Again, due to the Cauchy criterion, there exists a function with
[TABLE]
Moreover, for all we have
[TABLE]
Consequently, represents the Laplacian of in the sense of distributions. In addition, we obtain with
[TABLE]
According to [25, Appendix A] and [27, Section 3] the normal derivative can be defined in a weak sense as a mapping from
[TABLE]
by
[TABLE]
which is an extension of the classical normal derivative. As a consequence, we obtain by means of the foregoing results and the definition of the eigenvalues and eigenfunctions for
[TABLE]
For we get
[TABLE]
The above observations allow us to apply to . For that purpose, we define
[TABLE]
As before we deduce for any with
[TABLE]
where the last term is bounded independent of and since . As a consequence, due to the Cauchy criterion, the limit exists in Finally, according to the orthogonality of the eigenfunctions and (2.12), we obtain for
[TABLE]
Moreover, we deduce
[TABLE]
Since represents an orthonormal basis of , we conclude the result. ∎
3 Trace Theorems and Integration-by-parts Type Formulas
The purpose of this section is to state the Neumann trace space for and the Dirichlet trace space for functions belonging to .
We begin by introducing the reflexive Banach space with which is defined as
[TABLE]
with norm
[TABLE]
Due to the fact that
[TABLE]
we notice that
[TABLE]
which can be deduced by classical results of real interpolation.
For we state the following trace theorem for the Neumann trace operator.
Lemma 3.1**.**
Let and be a bounded Lipschitz domain. Then the Neumann trace operator
[TABLE]
is well-defined, linear, bounded, onto, and with a linear, bounded right inverse. Additionally, the null space of is , the closure of in .
Proof.
See Lemma 6.3 of [26]. ∎
Remark 3.2** (Relation between and for ).**
If is of class with then for , see [26, Lemma 6.2].
Next, we state an integration-by-parts type formula which relates to . In order to do so, we need to assume that the domain is quasi-convex, see [26, Definition 8.9]. The latter is a subset of bounded Lipschitz domains which is locally almost convex. For a precise definition of an almost convex domain we refer to [26, Definition 8.4]. In the class of bounded Lipschitz domains the following sequence holds (see [26]):
[TABLE]
where UEBC and LEBC stands for bounded Lipschitz domains which fulfill the uniform exterior ball condition and local exterior ball condition, respectively. We further remark that a bounded Lipschitz domain which fulfills UEBC is also known as semiconvex domain [36, Theorem 3.9].
Theorem 3.3** (Dirichlet: integration-by-parts formula).**
Let be a bounded quasi-convex domain. Moreover, let with and . Then the following integration-by-parts formula holds
[TABLE]
where is defined as the solution to
[TABLE]
Proof.
Let us define
[TABLE]
Using the orthogonality of the eigenfunctions , we obtain for any with
[TABLE]
where the last term is bounded independent of and since . As a consequence, by means of the Cauchy criterion, the limit exists in . In the same manner, we obtain for that the limit
[TABLE]
exits is . Moreover, if we set
[TABLE]
we can conclude that the solution to (3.4) is given by
[TABLE]
With similar arguments as above, it is straightforward to verify that , and
[TABLE]
since . Combining the last observations yields
[TABLE]
The proof is complete, once we have shown that
[TABLE]
To this end, we notice that in quasi-convex domains, for , the solution of (3.4) belongs to and fulfills
[TABLE]
see e.g. [26, Theorem 10.4]. According to [26, Corollary 6.5], the duality pairing between and is compatible with the natural integral pairing in . Consequently, using Lemma 3.1, (3.6) and (3.5), we obtain
[TABLE]
Thus, the assertion is proved since as shown above. ∎
Remark 3.4**.**
- (a)
If in Theorem 3.3 we let then we do not need to assume quasi-convexity, bounded Lipschitz domains are sufficient. Following e.g. [26], it may even be possible to further relax the regularity requirements for on the boundary in this case. 2. (b)
If in Theorem 3.3 we let then . As a consequence, according to [26, Theorem 6.4], we obtain .
We continue by introducing the space with ,
[TABLE]
This space can be endowed with the norm
[TABLE]
Here with .
Similarly to the explanations above, we obtain by the fact that
[TABLE]
the following characterization of the intermediate spaces
[TABLE]
which is due to classical results of real interpolation.
For we have the following result for the Dirichlet trace operator.
Lemma 3.5**.**
Let and be a bounded Lipschitz domain. Then the Dirichlet trace operator
[TABLE]
is well-defined, linear, bounded, onto, and with a linear, bounded right inverse. Additionally, the null space of is , the closure of in .
Proof.
See Lemma 6.9 of [26]. ∎
Remark 3.6** (Relation between and for ).**
If is of class with then for , see [26, Lemma 6.8].
As for the Dirichlet fractional Laplacian, we are able to state an integration-by-parts type formula which relates to .
Theorem 3.7** (Neumann: integration-by-parts formula).**
Let be a bounded quasi-convex domain. Moreover, let with and . Then the following integration-by-parts formula holds
[TABLE]
where is defined as the solution to
[TABLE]
Proof.
The proof is almost a word-by-word repetition of the proof of Theorem 3.3. In contrast it is crucial to show that
[TABLE]
with . It is again straightforward to verify that , and . As a consequence, according to [26, Theorem 10.8], the solution belongs to and fulfills
[TABLE]
According to [26, Corollary 6.12], the duality pairing between and is compatible with the natural integral pairing in . Using this in combination with Lemma 3.5 and the foregoing results, we obtain
[TABLE]
Again, the assertion is proved since as shown above. ∎
Remark 3.8**.**
- (a)
If in Theorem 3.7 we let then we do not need to assume quasi-convexity , bounded Lipschitz domains are again sufficient. 2. (b)
If in Theorem 3.7 we let and Lebesgue measurable then . Consequently, using [26, Theorem 6.10], we obtain .
4 Application I: Fractional Equation with Dirichlet Boundary Condition
We next apply our definition in (2.10) to (1.1). In order to impose the boundary condition on , we use the standard lifting argument, i.e., given with
[TABLE]
we construct solving
[TABLE]
and given , solves
[TABLE]
then . Notice that in (4.2) by Proposition 2.8 and density. Study of (4.2) has been the focal point of several recent works [17, 40, 14, 16, 19] and can be realized by using the Caffarelli-Silvestre extension or the Stinga-Torrea extension [17, 40], see for instance [37].
On the other hand, at the first glance, (4.1) seems as complicated as the original problem (1.1). However, we will show that (4.1) is equivalent to solving a standard Laplace problem with nonzero boundary conditions
[TABLE]
in the so-called very-weak form [32, 12, 22, 34, 5, 8, 7] or in the classical weak form if the regularity of the boundary datum guarantees its well-posedness.
We start with introducing the very weak form of (4.3). Given , we are seeking a function fulfilling
[TABLE]
Next, we show existence and regularity results for the very weak solution of (4.3).
Lemma 4.1**.**
Let be a bounded, quasi-convex domain. For any , there exists an unique very weak solution of (4.3). For more regular boundary data with , the solution belongs to and admits the a priori estimate
[TABLE]
Moreover, if s=1 then the very weak solution is actually a weak solution.
Remark 4.2**.**
Notice that owing to Remark 3.2, when is with we have and thus . Moreover, by employing similar arguments, in combination with [26], the results of Lemma 4.1 can be extended to general Lipschitz domains at least for .
Proof.
The idea of the existence and uniqueness proof of a solution to (4.4) is based on applying the Babuška-Lax-Milgram theorem. This is already outlined in the proof of Lemma 2.3 in [8]. However, in that reference, the focus was on two dimensional polygonal domains. Since we are working in space dimensions with different assumptions on the boundary, we present the proof again, also for the convenience of the reader. We also refer to [26] for related results.
First, we notice that the bilinear form associated to (4.4) is obviously bounded on . In order to show the inf-sup conditions, we use the isomorphism
[TABLE]
which is valid under the present assumptions on the domain according to [26, Theorem 10.4]. A norm in is given by due to the standard a priori estimate . Then by taking , we deduce
[TABLE]
If we choose as the solution of with some then we obtain
[TABLE]
It remains to check that the right hand side of (4.4) defines a linear functional on for any . In view of Lemma 3.1 we have that
[TABLE]
Thus, all the requirements of the Babuška-Lax-Milgram theorem are fulfilled and we can deduce the existence of a unique solution in for any Dirichlet boundary datum .
The a priori estimate in that case is a simple consequence of the above shown inf-sup condition combined with (4.4) and (4.6). Indeed,
[TABLE]
Moreover, according to [26, Theorem 5.3] there holds
[TABLE]
Next, we show that for any the very weak solution belongs to and represents actually a weak solution. For the weak formulation of problem (4.3) it is classical to show that for those data there is a unique weak solution in fulfilling the a priori estimate
[TABLE]
According to the integration by parts formula in [24]
[TABLE]
we can check that any weak solution represents a very weak solution. Just set and use . Due to the uniqueness of both, the weak and the very weak solution, they must coincide. Finally, by real interpolation in Sobolev spaces, we can conclude, according to (4.7)–(4.9) and (3.3), the existence of a solution in for any boundary datum , and the validity of the a priori estimate, which ends the proof. ∎
Next we show the uniqueness of the fractional problem for solution to (4.1). We shall use this result, in combination with Lemma 4.1, to show the existence of a solution to (4.1).
Lemma 4.3**.**
A solution to (4.1) is unique.
Proof.
Since (4.1) is linear, it is sufficient to show that when then . The function , solution to (4.1) with , fulfills
[TABLE]
Setting , we arrive at the asserted result. ∎
Theorem 4.4**.**
Let the assumptions of Lemma 4.1 hold. Then solving problem (4.1) is equivalent to solving problem (4.3) in the very weak sense. As a consequence, the results of Lemma 4.1 are valid for the solution of the fractional problem (4.1).
Proof.
Since both (4.1) and (4.3) have unique solutions, it is sufficient to show that the solution to (4.1) solves (4.3) in the very weak sense. The solution to (4.1) fulfills
[TABLE]
Taking an arbitrary eigenfunction as a test function, and employing the orthogonality of the eigenfunctions in , we obtain
[TABLE]
Since and , we have arrived at
[TABLE]
Since a basis of is given by the eigenfunctions we have shown that solves (4.3). This concludes the proof. ∎
Theorem 4.5** (Existence and uniqueness).**
Let be a bounded, quasi-convex domain. If , then (1.1) has a unique solution which satisfies
[TABLE]
where is a positive constant independent of , and .
Proof.
Notice that solving (1.1) for is equivalent to solving (4.1) and (4.2) for and , respectively. Then . The existence and uniqueness of for Lipschitz domains is due to [18, Theorem 2.5]. The existence and uniqueness of is given by Theorem 4.4 which says that (4.1) is equivalent to (4.3) such that the results of Lemma 4.1 apply. Finally, using the triangle inequality we obtain
[TABLE]
From Theorem 4.4 and Lemma 4.1 we know that . It remains to estimate . Using Proposition 2.2 we obtain
[TABLE]
and from the weak form of (4.2) it immediately follows that . Collecting all the estimates we obtain (4.10). ∎
In Section 4.2 we will be concerned with discretization error estimates for (1.1). For that purpose we need to establish higher regularity for the solution given more regular data and . Due to the fact that the solution to (4.2) is formally given by
[TABLE]
we obtain that belongs to for any . The results about higher regularity for the solution to (4.1) are collected in the following lemma.
Lemma 4.6** (Regularity of ).**
Let one of the following conditions be fulfilled:
- (a)
: is Lipschitz, , 2. (b)
: is quasi-convex, ,
where denotes the Dirichlet trace operator. Then belongs to and fulfills
[TABLE]
with a constant independent of , and the trace space defined by
[TABLE]
Remark 4.7**.**
Notice that by definition every quasi-convex domain is Lipschitz, therefore condition (a) in Lemma 4.6 also holds in quasi-convex domains. Moreover, when is with (cf. [26, Lemma 10.1]), then , whence, the interpolation space in part (b) of Lemma 4.6 is
[TABLE]
Notice as well that implies that on each side/face of a polygonal/polyhedral domain we have . Consequently, in case of polygonal/polyhedral domains, we conclude by real interpolation
[TABLE]
for any .
Proof.
When , this result follows from [26, Theorem 5.3]. Finally, when we recall from [26, Eq. (10.16)-(10.17) in Theorem 10.4]
[TABLE]
Moreover, corresponding natural a priori estimates are valid. Using real interpolation we arrive at
[TABLE]
which completes the proof. ∎
4.1 The extended problem
It is well-known that (4.2) can equivalently be posed on a semi-infinite cylinder. This approach in is due to Caffarelli and Silvestre [17]. The restriction to bounded domains was considered by Stinga-Torrea in [40], see also [16, 19]. For the existence and uniqueness of a solution to the problem on the semi-infinite cylinder it is sufficient to consider to be a bounded open set with Lipschitz boundary [18, Theorem 2.5].
We first introduce the required notation, we will follow [4, section 3]. We denote by the aforementioned semi-infinite cylinder with base , i.e., , and its lateral boundary . We also need to define a truncated cylinder: for , the truncated cylinder is given by . Additionally, we set . As and are objects in , we use to denote the extended variable, such that a vector admits the representation with for , and .
Next we introduce the weighted Sobolev spaces with a degenerate/singular weight function , , see [41, Section 2.1], [31], and [28, Theorem 1] for further discussion on such spaces. Towards this end, let be an open set, such as or , then we define the weighted space as the space of all measurable functions defined on with finite norm . Similarly, using a standard multi-index notation, the space denotes the space of all measurable functions on whose weak derivatives exist for and fulfill
[TABLE]
To study the extended problems we also need to introduce the space
[TABLE]
The space is defined analogously, i.e.,
[TABLE]
We finally state the extended problem in the weak form: Given , find such that
[TABLE]
with and , where we recall that . That is, the function is a weak solution of the following problem
[TABLE]
where we have set
[TABLE]
Even though the extended problem (4.11) is local (in contrast to the nonlocal problem (4.2)), however, a direct discretization is still challenging due to the semi-infinite computational domain . To overcome this, we employ the exponential decay of the solution in certain norms as tends to infinity, see [37]. This suggests truncating the semi-infinite cylinder, leading to a problem posed on the truncated cylinder : Given , find such that
[TABLE]
We refer to [37, Theorem 3.5] for the estimate of the truncation error.
4.2 A Priori Error Estimates
To get an approximation of , we apply the approach from [37], i.e. the truncated problem is discretized by a finite element method, and in order to obtain an approximation of , we will use the approach described in [12, 8, 7] or equivalently a standard finite element method if the boundary datum is smooth enough. From here on, we assume that the domain is convex and polygonal/polyhedral.
Due to the singular behavior of towards the boundary , we will use anistropically refined meshes. We define these meshes as follows: Let be a conforming and quasi-uniform triangulation of , where is an element that is isoparametrically equivalent either to the unit cube or to the unit simplex in . We assume . Thus, the element size fulfills . The collection of all these meshes is denoted by . Furthermore, let be a graded mesh of the interval in the sense that with
[TABLE]
Now, the triangulations of the cylinder are constructed as tensor product triangulations by means of and . The definitions of both imply . Finally, the collection of all those anisotropic meshes is denoted by .
Now, we define the finite element spaces posed on the previously introduced meshes. For every the finite element spaces are now defined by
[TABLE]
In case that in the previous definition is a simplex then , the set of polynomials of degree at most . If is a cube then equals , the set of polynomials of degree at most 1 in each variable.
Using the just introduced notation, the finite element discretization of (4.13) is given by the function which solves the variational identity
[TABLE]
with and , where we recall that .
Next we are concerned with the discretization of (4.3). Since we will assume that the boundary datum belongs at least to , a standard finite element discretization is applicable, see e.g. [11]. More precisely, let
[TABLE]
Moreover, let denote the -projection into . Then we seek a discrete solution which fulfills
[TABLE]
Notice that in case that , the weak formulation of (4.3) is not well-posed. However, the discretization (4.15) is still reasonable and corresponding error estimates hold, see [12, 8, 7].
Finally, we define the discrete solution to (1.1) as
[TABLE]
where and solve (4.14) and (4.15), respectively.
We conclude this section with the following theorem about discretization error estimates for .
Theorem 4.8**.**
Let convex polygonal/polyhedral, satisfies the conditions of Lemma 4.6, and . Moreover, let be the solution of (1.1) and let be as in (4.16) then there is a constant independent of the data such that
[TABLE]
and
[TABLE]
provided that .
Proof.
After applying the triangle inequality we arrive at
[TABLE]
We treat each term on the right-hand-side separately. Using Proposition 2.2 we obtain
[TABLE]
Subsequently invoking [37, Theorem 5.4 and Remark 5.5] we arrive at
[TABLE]
Condensing the last two estimates we obtain
[TABLE]
We now turn to . Using classical arguments (see e.g. [11]), in combination with the regularity results of Lemma 4.6 and Remark 4.7, we infer the estimates
[TABLE]
Due to the fact that is the interpolation space between and , see (2.4), we obtain
[TABLE]
where the constant is independent of and the data. Collecting the estimates for , , we obtain (4.17) after having observed that .
Finally, (4.18) is due the -estimate of [38, Proposition 4.7] and the aforementioned -estimate of . ∎
5 Application III: Fractional Equation with Neumann Boundary Condition
Given data , with
[TABLE]
we seek a function satisfying
[TABLE]
We assume that the data and additionally fulfill the compatibility condition
[TABLE]
Now, we proceed as in Section 4. Given , we construct solving
[TABLE]
and given , we seek fulfilling
[TABLE]
Finally, we have .
We will show that (5.3) is equivalent to solving the following standard Laplace problem with nonzero Neumann boundary conditions
[TABLE]
in the very-weak form or in the classical weak form if the regularity of the boundary datum guarantees its well-posedness.
We start with introducing the very weak form of (5.5). Given , we are seeking a function fulfilling
[TABLE]
where .
Lemma 5.1**.**
Let be a bounded, quasi-convex domain. For any and fulfilling (5.2), there exists an unique very weak solution of (5.5). For more regular boundary data where , the solution belongs to and admits the a priori estimate
[TABLE]
Moreover, if s=1 then the very weak solution is actually a weak solution.
Remark 5.2**.**
Notice that due to Remark 3.6, when is with we have and thus . Moreover, as for the Dirichlet problem, by employing similar arguments, in combination with [26], the results of Lemma 4.1 can be extended to general Lipschitz domains at least for .
Proof.
The proof is similar to the proof of Lemma 4.1. We only elaborate on the main differences. The proof of existence and uniqueness of a solution in with is again based on the Babuška-Lax-Milgram theorem using the isomorphism
[TABLE]
see [26, Theorem 10.8], and Lemma 3.5. The higher regularity can be deduced by real interpolation from classical regularity results for the solution of the corresponding weak formulation, which is actually a very weak solution due to the integration-by-parts formula, and the regularity results in from [26, Theorem 5.4]. ∎
The equivalence between (5.3) and (5.5) now follows along the same lines as in Theorem 4.4. We collect this result in the following theorem.
Theorem 5.3**.**
Let the assumptions of Lemma 5.1 hold. Then solving problem (5.3) is equivalent to solving problem (5.5) in the very weak sense. As a consequence, the results of Lemma 5.1 are valid for the solution of the fractional problem (5.3).
Finally, we conclude this section with the well-posedness of (5.1).
Theorem 5.4** (Existence and uniqueness).**
Let be a bounded, quasi-convex domain. If , fulfill the compatibility condition (5.2) then the system (5.1) has a unique solution . In addition
[TABLE]
Proof.
The proof is similar to that of Theorem 4.5 and is omitted for brevity. ∎
6 Application IV: Boundary Control Problems
6.1 Dirichlet boundary control problem
Given and , we consider the following problem: minimize
[TABLE]
subject to the state equation
[TABLE]
and for given with for a.a. , the control belongs to the admissible set defined as
[TABLE]
Notice that . Consequently, owing to Theorem 4.4 we notice that the state equation (6.2) is equivalent to
[TABLE]
where the latter is understood in the very-weak sense.
Without going into further details we refer to [22, 34, 6] where the (numerical) analysis for this problem is carried out. The advantage of our characterization of fractional Laplacian is clear, i.e., it allows to equivalently rewrite the fractional optimal control problem into an optimal control problem which has been well studied.
6.2 Neumann boundary control problem
Given and , we consider the following problem: minimize as defined in (6.1) subject to the state equation
[TABLE]
and the control with , where is defined in (6.3). Since , the state equation (6.5) is well-posed according to Theorem 5.4. Moreover, it is equivalent to
[TABLE]
where the latter can be understood in the classical weak sense.
The optimization problem with constraints
[TABLE]
where , has been well studied, see [21, 20, 33, 30, 9].
7 Numerics
Let . We verify the results of Theorem 4.8 by two numerical examples. In the first example, we let the exact solution and to (4.2) and (4.1) to be smooth. In the second example we will take to be a nonsmooth function. All the computations were carried out in MATLAB under the FEM library [23].
7.1 Example 1: Smooth Data
Let . Under this setting, the eigenvalues and eigenfunctions of are:
[TABLE]
Setting then the exact solution of (4.2) is
[TABLE]
We let and . Recall that . As is smooth, the approximation error will be dominated by the error in .
Recall that , where , , and are the exact solutions and , , and are the approximated solutions. Recall from Proposition 2.2 that . Then using the extension, in conjunction with Galerkin-orthogonality, it is straightforward to approximate the -norm
[TABLE]
However, it is more delicate to compute , for instance see [15, 10]. To accomplish this we first solve the generalized eigenvalue problem , where A and M denotes the stiffness and mass matrices on . If v and denotes the nodal values of the exact and approximated then we take
[TABLE]
as an approximation of , where D is the diagonal matrix with eigenvalues and the columns of matrix V contains the eigenvectors of the aforementioned generalized eigenvalue problem.
Figure 1 (left) illustrates the -norm, computed as described above. Figure 1 (right) shows the -norm of the error between the and . As expected we observe rate in the former case. In the latter case, we observe a rate which is higher than the stated rate in Theorem 4.8. However, this is not a surprise as we already observed this in [4], recall that our result for -norm rely on [38, Proposition 4.7].
7.2 Example 2: Nonsmooth Data
We let . Moreover, let and be the same as in Section 7.1 and we choose the boundary datum
[TABLE]
This function belongs to for every . The exact is simply
[TABLE]
Then . In view of the regularity of , we expect the approximation error of to be dominated by the approximation error in if . On the other hand, if , the approximation error of will dominate. More precisely, we expect in the former case a rate of about (\#\mathscr{T}{Y})^{-\frac{1}{3}\big{(}\frac{3}{2}-s\big{)}} in the -norm. In the latter case, we expect a convergence rate of in the -norm as in the foregoing example. Figure 2 confirms this.
8 Further Extensions: General Second Order Elliptic Operators
We notice that our Definitions 2.7 and 2.10 immediately extend to general second order fractional operators. More precisely, let the general second order elliptic operator be given as
[TABLE]
Here, the coefficients are measurable, belong to , are symmetric, that is,
[TABLE]
and satisfy the ellipticity condition, that is, there exists a constant such that
[TABLE]
Moreover, we use to denote the conormal derivative of , i.e.,
[TABLE]
The fractional operators corresponding to are defined as follows.
Definition 8.1** (nonzero Dirichlet).**
For , we define the spectral fractional Dirichlet Laplacian on by
[TABLE]
where are the eigenvalue-eigenvector pairs of with .
As we showed in Section 2.3, the operator can be extended to an operator mapping from
[TABLE]
to , where and
Definition 8.2** (nonzero Neumann).**
For , we define the spectral fractional Neumann Laplacian on by
[TABLE]
where are the eigenvalue-eigenvector pairs of with .
Again, as in Section 2.4, we set and . Then, if we assume , the operator is extendable to an operator mapping from
[TABLE]
to .
Remark 8.3**.**
For and for a.a. , we can further generalize in (8.1) to . The definitions above of fractional operators remain intact with the obvious modification in the Neumann case.
Acknowledgement
We thank Boris Vexler, Pablo Stinga, and Mahamadi Warma for several fruitful discussions.
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