Optimal Control of Fractional Elliptic PDEs with State Constraints and Characterization of the dual of Fractional Order Sobolev Spaces
Harbir Antil, Deepanshu Verma, Mahamadi Warma

TL;DR
This paper develops mathematical tools for optimal control problems governed by fractional elliptic PDEs with state constraints, including dual space characterization and well-posedness, extending classical results to fractional orders.
Contribution
It introduces the notion of state constraints for fractional elliptic PDEs and characterizes the dual of fractional Sobolev spaces, advancing the mathematical foundation for fractional optimal control.
Findings
Established well-posedness of fractional PDE control problems
Derived first order optimality conditions for fractional PDEs
Characterized the dual of fractional Sobolev spaces
Abstract
This paper introduces the notion of state constraints for optimal control problems governed by fractional elliptic PDEs of order . There are several mathematical tools that are developed during the process to study this problem, for instance, the characterization of the dual of the fractional order Sobolev spaces and well-posedness of fractional PDEs with measure-valued datum. These tools are widely applicable. We show well-posedness of the optimal control problem and derive the first order optimality conditions. Notice that the adjoint equation is a fractional PDE with measure as the right-hand-side datum. We use the characterization of the fractional order dual spaces to study the regularity of the state and adjoint equations. We emphasize that the classical case () was considered by E. Casas in \cite{ECasas_1986a} but almost none of the existing results are…
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Optimal Control of Fractional Elliptic PDEs with State Constraints
and Characterization of the dual of Fractional Order Sobolev Spaces
Harbir Antil
Department of Mathematical Sciences, George Mason University, Fairfax, VA 22030, USA.
,
Deepanshu Verma
Department of Mathematical Sciences, George Mason University, Fairfax, VA 22030, USA.
and
Mahamadi Warma
University of Puerto Rico, Rio Piedras Campus, Department of Mathematics, College of Natural Sciences, 17 University AVE. STE 1701 San Juan PR 00925-2537 (USA).
[email protected], [email protected]
Abstract.
This paper introduces the notion of state constraints for optimal control problems governed by fractional elliptic PDEs of order . There are several mathematical tools that are developed during the process to study this problem, for instance, the characterization of the dual of the fractional order Sobolev spaces and well-posedness of fractional PDEs with measure-valued datum. These tools are widely applicable. We show well-posedness of the optimal control problem and derive the first order optimality conditions. Notice that the adjoint equation is a fractional PDE with measure as the right-hand-side datum. We use the characterization of the fractional order dual spaces to study the regularity of the state and adjoint equations. We emphasize that the classical case () was considered by E. Casas in [14] but almost none of the existing results are applicable to our fractional case.
Key words and phrases:
Optimal control with PDE constraints, state and control constraints, Fractional Laplacian, measure valued datum, characterization of fractional dual space, regularity of solutions to state and adjoint equations.
2010 Mathematics Subject Classification:
49J20, 49K20, 35S15, 65R20, 65N30
The first and second authors are partially supported by NSF grant DMS-1818772 and the Air Force Office of Scientific Research under Award NO: FA9550-19-1-0036. The third author is partially supported by the Air Force Office of Scientific Research under Award NO: FA9550-18-1-0242.
1. Introduction
Let () be a bounded open set with boundary . The main goal of this paper is to introduce and study the following state and control constrained optimal control problem:
[TABLE]
Moreover, we assume the control constraints
[TABLE]
with being a non-empty, closed, and convex set and the real number satisfies
[TABLE]
Notice that for , with as given in (1.2), we have that , see [8] for details.
Optimal control of fractional PDEs with control constraints has recently received a lot of attention. We refer to [8] for the optimal control of fractional semilinear PDEs with both spectral and integral fractional Laplacians with distributed control, see also [20] for such a control of an integral operator. We refer to [4] for the boundary control with spectral fractional Laplacian and [3, 6] for the exterior optimal control of fractional PDEs. See [9, 7] for the optimal control of quasi-linear fractional PDEs where the control lies in the coefficient.
We remark that the case is classical see for instance [14], we also refer to [15, 16], see also [17] for more recent results. We also refer to to the monographs [26, 30] and the references therein. Nevertheless, none of these existing works are directly applicable to the case of fractional state constraint as stated in (1.1).
The key difficulties in studying (1.1)–(1.2) and the novelties of this paper are outlined next.
- •
Nonlocal equation. The equation (1.1b) is nonlocal, see Section 2 for the precise definition of the nonlocal operator .
- •
Continuity of the state solution. Similarly to the classical case, we need to show that the solution to (1.1b) is continuous whenever . Recall that for such a , that the solution is due to our previous work [8]. Our continuity result in this paper, in a sense, weakens the regularity requirements on in comparison to the celebrated result of [28, Proposition 1.1] where the authors assumed that .
- •
Equation with measure valued data. The adjoint equation is a fractional PDE with measure-valued datum. We shall first show the well-posedness of such PDEs in the space where is as in (1.2).
- •
Characterization of the dual space . Let , and let denote the dual of (see Section 2). Recall that the classical dual space, , of can be characterized in terms of vector-valued -spaces [1, Theorem 3.9]. Such a characterization of the space is essential to study the regularity of the aforementioned adjoint equation (fractional PDE with measure-valued datum) and the state equation with weaker than datum. However, to the best of our knowledge, this characterization has remained open for the fractional order Sobolev spaces. This characterization obtained here is one of the main novelty of the current paper.
- •
Higher regularity of solutions to the Dirichlet problem (1.1b). Using the above characterization of the dual spaces of the fractional order Sobolev spaces, we have shown that for , for appropriate and , solutions of the Dirichlet problem (1.1b) are also continuous up to the boundary of . This is the first time that such a regularity result has been proved (with very weak right-hand side) for the fractional Laplace operator.
We recognize that the fractional operators are starting to play a pivotal in several applications: imaging science, phase field models, Magnetotellurics in geophysics, electrical response in cardiac tissue, diffusion of biological species, and data science, see [6] and references therein. In fact under a very general setting, the article [24] shows that there are only two types of heat kernels: diffusion (exponential), or heat kernels for -stable processes (polynomial). Notice that the fractional Laplace operator is the generator of the -stable Lévy process. For a general description of nonlocal/fractional heat kernels and their relationship to stochastic processes, we refer to [18, 29].
The rest of the paper is organized as follows. In Section 2, we first introduce the underlying notation and state some preliminary results. These results are well-known. Our main work starts from Section 3 where we first establish the continuity of solution to the state equation. In addition, we establish the well-posedness of the fractional PDEs with measured valued datum. In Section 4, we show the well-posedness of the control problem and derive the optimality conditions. In Section 5 we derive the characterization of dual spaces of fractional order Sobolev spaces. We conclude this paper by giving a higher regularity result for the associated adjoint equation in Section 6.
2. Notation and preliminaries
We begin this section by introducing some notation and preliminary results. We follow the notation from our previous works [7, 3]. Unless otherwise stated, is a bounded open set, and . For a sufficiently regular function defined on , we shall denote by the function defined on by
[TABLE]
Then we define the Sobolev space
[TABLE]
which we endow with the norm
[TABLE]
We let
[TABLE]
where denotes the space of smooth functions with compact support in .
We have taken the following result from [25, Theorem 1.4.2.4, p.25] (see also [11, 32]).
Theorem 2.1**.**
Let be a bounded open set with a Lipschitz continuous boundary and . Then the following assertions hold.
- (a)
If , then . 2. (b)
If , then is a proper closed subspace of .
Since is assumed to be bounded, we have the following continuous embedding:
[TABLE]
We shall let
[TABLE]
Using potential theory, a complete characterization of for arbitrary bounded open sets has been given in [32]. Notice that from Theorem 2.1 it follows that for a bounded open set with Lipschitz boundary, if , then
[TABLE]
defines an equivalent norm on . We shall always use this norm for the space .
In order to study the fractional Laplace equation (1.1b) we need to consider the following function space
[TABLE]
Let be a bounded open set with a Lipschitz continuous boundary. It has been shown in [23, Theorem 6] that is dense in . Moreover, for every , we have
[TABLE]
where
[TABLE]
Remark 2.2**.**
We mention the following observations.
- (a)
The embedding (2.1) holds with replaced by . 2. (b)
Let satisfy (1.2) and . We claim that . Indeed, we have the following three cases.
- •
If , that is , then . In this case we have that , where we have used (2.1) and the fact that is bounded.
- •
If , that is is any a number , then by (2.1).
- •
If , that is , then and by (2.1).
We next state an important result for (recall Theorem 2.1 for ). For a proof, we refer to [7, Theorem 2.3].
Theorem 2.3**.**
Let be a bounded open set with a Lipschitz continuous boundary and . If , then with equivalent norms.
Thus from Theorem 2.3 it follows that for a bounded open set with Lipschitz boundary, if , then
[TABLE]
in other words the second term in (2.3) is not relevant.
If , and , then the space is defined as the dual of , i.e., . We notice that a characterization of this dual space given in Section 5 is one of the novelties of this paper.
After all these preparations, we are now ready to define the fractional Laplacian. We set
[TABLE]
For and , we let
[TABLE]
where is a normalization constant and it is given by
[TABLE]
and is the standard Euler Gamma function (see, e.g. [13, 21, 31, 32]). We then define the fractional Laplacian for by the formula
[TABLE]
provided that the limit exists. Notice that [12, Proposition 2.2] shows that for , we have
[TABLE]
This limit makes use of the constant .
We define the operator in as follows
[TABLE]
Notice that is the realization in of the fractional Laplace operator with the Dirichlet exterior condition in . We refer to [19] for a rigorous definition of .
Finally, we close this section by recalling the integration-by-parts formula for (see e.g. [22]).
Proposition 2.4** **(The integration by parts formula for ).
Let be such that . Then for every we have
[TABLE]
3. State and adjoint equations
Throughout the remainder of the paper, given a Banach space and its dual , we shall denote by their duality pairing.
The purpose of this section is to show that the weak solutions to (1.1b) are continuous and to study the existence and uniqueness of -solutions to the system
[TABLE]
where . Here denotes the space of all Radon measures on . More precisely, i.e., is the dual of such that
[TABLE]
In addition, we have the following norm on this space:
[TABLE]
We will first show the continuity of weak solutions to (1.1b). We recall that the paper [28] proves the optimal Hölder -regularity of under the condition that the datum . However, in our setting we have only assumed that , therefore the result of [28] does not apply. Before we recall the results from [8] and [28], respectively, we state the notion of weak solution to (1.1b).
Definition 3.1** **(Weak solution to Dirichlet problem).
Let . A function is said to be a weak solution to (1.1b) if the identity
[TABLE]
holds.
Proposition 3.2**.**
Let be a bounded Lipschitz domain. Assume that with as in (1.2). Then every weak solution of (1.1b) belongs to and there is a constant such that
[TABLE]
In Theorem 6.3, we shall reduce the regularity requirement on the datum given in Proposition 3.2.
Proposition 3.3**.**
Let be a bounded Lipschitz domain satisfying the exterior cone condition. Assume that . Then every weak solution of (1.1b) belongs to and there is a constant such that
[TABLE]
After giving the above two results, we are ready to state the first main result of this section.
Theorem 3.4**.**
Let be a bounded Lipschitz domain satisfying the exterior cone condition. Assume that with as in (1.2). Then every weak solution of (1.1b) belongs to and there is a constant such that
[TABLE]
Proof*.*
Since is dense in , therefore given , we can construct a sequence such that
[TABLE]
For each , let solve
[TABLE]
Then from Proposition 3.3, we have that . Next, subtracting (1.1b) from (3.5), we deduce that
[TABLE]
Since , we can apply Proposition 3.2 to deduce that
[TABLE]
Thus
[TABLE]
Since , it follows that and the proof is complete. ∎
We shall reduce the regularity requirement on the datum in the above result in Corollary 6.4.
Towards this end, we introduce the notion of very-weak solution to (3.1) with measure valued right-hand-side datum. We refer to [3, 6] for the notion of very-weak solution with exterior datum.
Definition 3.5** **(Very-weak solution to the Dirichlet problem with measure datum).
Let be as in (1.2) and . Let . A function is said to be a very-weak solution to (3.1) if the identity
[TABLE]
holds for every .
In the next theorem we present the second main result of this section.
Theorem 3.6**.**
Let be a bounded Lipschitz domain satisfying the exterior cone condition. Let and as in (1.2). Then there exists a unique , with such that , that solves (3.1) according to the Definition 3.5 and there is a constant such that
[TABLE]
Proof*.*
For a given we begin by considering the following auxiliary problem
[TABLE]
Since (by using Remark 2.2), with the embedding being continuous, it follows that there exists a unique satisfying (3.6). Then according to Theorem 3.4, we have that . Towards this end we define the mapping
[TABLE]
Notice that is linear and continuous (due to Theorem 3.4).
Let us define . Then . We shall show that solves (3.1). Notice that
[TABLE]
Thus, we have constructed a unique function that solves (3.1) according to the Definition 3.5. It then remains to prove the required bound. From (3.7) we have that
[TABLE]
where in the last step we have used Theorem 3.4. Then dividing both sides by and taking the supremum over we obtain the desired result. The proof is finished. ∎
The regularity of , given in Theorem 3.6 , and solving (3.1) will be improved in Corollary 6.5.
4. Optimal control problem
Throughout this section, we will operate under the conditions of Theorem 3.6.
The purpose of this section is to study the existence of solution to the optimal control problem (1.1) and establish the first order optimality conditions.
We begin by rewriting the optimal control problem (1.1). We recall from (2.7) that is the realization in of the fractional Laplacian which incorporates zero exterior Dirichlet condition and it is a self-adjoint operator on . As a result, the problem (1.1) can be rewritten as
[TABLE]
Next, we introduce relevant function spaces. We let
[TABLE]
Then is a Banach space with the graph norm . Notice that in . We let be a nonempty, closed, and convex set and as in (1.1c), i.e.,
[TABLE]
Notice that for every , due to Theorem 3.4, there is a unique that solves the state equation (1.1b). Using this fact, the control-to-state (solution) map
[TABLE]
is well-defined, linear, and continuous. Since is continuously embedded into , then we can consider the control-to-state map as
[TABLE]
Towards this end, we define the admissible control set as
[TABLE]
and as a result, the reduced minimization problem is given by
[TABLE]
Next, we state the well-posedness result for (1.1) and equivalently (4.3).
Theorem 4.1**.**
*Let be a bounded, closed, and convex subset of and be a convex and closed subset of such that is nonempty. If is weakly lower-semicontinuous, then there is a solution to (4.3). *
Proof*.*
The proof is based on the so-called direct method or the Weierstrass theorem [10, Theorem 3.2.1]. We will provide some details for completeness. We can always construct a minimizing sequence such that . Since is bounded, it follows that is a bounded sequence. Due to the reflexivity of , there exists a weakly convergent subsequence (not relabeled) such that in as . Next, due to being closed and convex, thus weakly closed, we obtain that .
Notice that is non-reflexive. However, we have that and , therefore we have a subsequence (not-relabeled) that converges weakly⋆ to in . Since is also weakly closed, we have that .
Owing to the uniqueness of the limit and the assumption that is nonempty we can deduce that . Finally, it remains to show that is a solution to (4.3). This follows from the weak lower-semicontinuity assumption on . ∎
Next, we derive the first order necessary optimality conditions, but before we make the following standard assumption.
Assumption 4.2** **(Slater condition).
There is some control function such that the corresponding state fulfills the strict state constraint
[TABLE]
See the monographs [26, 30] for a further discussion.
Using the definition of we have that is a bounded operator and from Theorem 3.4 it is a surjective operator. We have the following first order necessary optimality conditions:
Theorem 4.3**.**
Let be continuously Fréchet differentiable and assume that (4.4) holds. Let be a solution to the optimization problem (1.1). Then there exist Lagrange multipliers and an adjoint variable such that
[TABLE]
Proof*.*
We begin by checking the requirements for [26, Lemma 1.14]. We notice that is bounded and surjective. Moreover, the condition (4.4) implies that the interior of the set , is nonempty. It then remains to show the existence of a such that
[TABLE]
Since solves the state equation, therefore from (4.6) we have that
[TABLE]
Notice that for every , there is a unique that solves (4.7), in particular works. Thus we immediately obtain (4.5a)–(4.5c). Instead of (4.5d) we obtain that
[TABLE]
where denotes the polar cone. Then the equivalence between (4.8) and (4.5d) follows from a classical result in functional analysis, see [26, pp. 88] for details. ∎
5. Characterization of the dual of fractional order Sobolev spaces
Given , and , the aim of this section is to give a complete characterization of the space . Recall that is the dual of the space .
We start by stating this abstract result taken from [2, pp. 194].
Lemma 5.1**.**
If and are two Banach spaces, then is also a Banach space with the associated norm
[TABLE]
Moreover, the dual of the product space, is isometrically isomorphic to the product of the dual spaces, that is,
[TABLE]
Let and let be endowed with the norm
[TABLE]
For , we associate the vector given by
[TABLE]
Since , we have that is an isometry and hence, injective, so is an isometric isomorphism of onto its image . Also, is a closed subspace of , because is complete (isometries preserve completion).
Throughout this section without any mention, we shall let
[TABLE]
Lemma 5.2**.**
Let . Then for every , there exists a unique such that for every , we have
[TABLE]
Moreover,
[TABLE]
Proof*.*
Let . Then . We define . Then . For arbitrary and for scalars , we have
[TABLE]
and for all , we have that
[TABLE]
Thus . Notice that .
Similarly, let then . Thus for , if we define , then . Notice that .
Hence, by the Riesz Representation theorem there exist a unique and a unique such that
[TABLE]
and
[TABLE]
Now let . Notice that is an arbitrary element of and we can write . Hence
[TABLE]
Moreover,
[TABLE]
Therefore,
[TABLE]
The proof of the first part is complete. It then remains to show that the norms in (5.2) are equal.
Let us first consider the case . Define
[TABLE]
and
[TABLE]
Then, for , we have that
[TABLE]
where we have used the equality in Hölder’s inequality, the equality holds because . Moreover, we have used the fact that due to Lemma 5.1.
Let us consider the case , then and we can set (due to Lemma 5.1) . Notice that . It is sufficient to show that to get the desired result. Now for any and there exists a measurable set (or when ) with finite, non zero measure such that , .
Next, we define
[TABLE]
Set if , otherwise set . Then,
[TABLE]
Since is chosen arbitrarily, the result follows from the definition of operator norm. ∎
Theorem 5.3**.**
Let . Assume . Then there exists such that
[TABLE]
and
[TABLE]
where the infimum is taken over all for which (5.3) holds for every . Moreover, if then is unique.
Proof*.*
Define the linear functional , where is the range of given in (5.1), by
[TABLE]
\widetilde{W}_{0}^{s,p}(\Omega)$$Z\subset Y$${\mathbb{R}}$$P$$\widehat{L}$$f
Since is an isometric isomorphism onto , it follows that and
[TABLE]
Then, by the Hahn-Banach extension theorem, there exists an such that . Since , using Lemma 5.2, there exists such that for , we have
[TABLE]
Notice that when , is unique due to the uniform convexity of the Banach space .
Thus, for we have . Then using the definition of we get
[TABLE]
which is (5.3) after noticing that . Moreover, we have
[TABLE]
The proof for the case is complete.
Now, for arbitrary , for which (5.3) holds for all , we can define as
[TABLE]
Then and (due to (5.3)). As a result,
[TABLE]
Thus
[TABLE]
The proof is complete. ∎
In view of Theorem 2.3(b), for we can everywhere replace in Theorem 5.3 by . More precisely, we have the following result.
Corollary 5.4**.**
Let and . Let . Then there exists a unique such that
[TABLE]
and
[TABLE]
where the infimum is taken over all for which (5.3) holds for every .
6. Improved regularity of state and higher regularity of adjoint
In this section, we study the higher regularity properties of solutions to the Dirichlet problem (1.1b) with right hand side for some suitable and .
Throughout the remainder of this section, for , we shall let
[TABLE]
We start with the following theorem result which can be viewed as the first main result of this section.
Theorem 6.1**.**
Let and with and . Then there exists a unique function satisfying
[TABLE]
for every . In addition, and there is a constant such that
[TABLE]
To prove the theorem we need the following lemma which is of analytic nature and will be useful in deriving some a priori estimates of weak solutions of elliptic type equations (see e.g. [27, Lemma B.1.]).
Lemma 6.2**.**
Let be a nonnegative, non-increasing function on a half line such that there are positive constants and () with
[TABLE]
Then
[TABLE]
Proof of Theorem 6.1.
We prove the result in several steps.
Step 1: Firstly, we show that there is a unique satisfying (6.1). It suffices to show that the right hand side of (6.1) defines a continuous linear functional on . Indeed, recall that by Remark 2.2. Hence, using this embedding and the classical Hölder inequality, we get that there is a constant such that
[TABLE]
Since the bilinear form is continuous and coercive, it follows from the classical Lax-Milgram lemma that there is unique function satisfying (6.1).
Step 2: Notice that if , it follows from the embedding (2.1) that . We give the proof for the case . The case follows with a simple modification of the case . Therefore, throughout the proof we assume that .
Step 3: Let be the unique function satisfying (6.1). Let be a real number and set . By [32, Lemma 2.7] we have that for every . Proceeding exactly as in the proof of [5, Theorem 2.9] (see also [8, Proposition 3.10 and Section 3.3]) we get that
[TABLE]
for every .
Let . Then it is clear that
[TABLE]
Let be such that
[TABLE]
where we recall that . Since by assumption , we have that
[TABLE]
Using (6.4), the continuous embedding , and the Hölder inequality, we get that there is a constant such that
[TABLE]
fore every .
Let by (6.5). Using the Hölder inequality again, we get that there is a constant such that for every , we have
[TABLE]
Step 4: Next, let be such that
[TABLE]
Since by assumption , we have that
[TABLE]
Using (6.4), the continuous embedding , and the Hölder inequality again, we can deduce that there is a constant such that
[TABLE]
for every .
Let by (6.8). Using the Hölder inequality we get that there is a constant such that for every , we have
[TABLE]
Step 5: Let . It follows from (6.7) that there is a constant such that for every
[TABLE]
Similarly, it follows from (6.10) that there is a constant such that for every
[TABLE]
We have shown that that there is a constant such that
[TABLE]
for every .
Using (6.3), (6), (6), (6.11) and the fact that there is a constant such that
[TABLE]
we get that there is a constant such that for every , we have
[TABLE]
Using the continuous embedding and (6.12), we get that there is a constant such that for every , we have
[TABLE]
Step 6: Now let . Then and in we have that . Thus, it follows from (6.13) that there is a constant such that for every ,
[TABLE]
Let . It follows from (6.14) that
[TABLE]
for all . Finally, applying Lemma 6.2 to the function, , we can deduce that there is a constant such that
[TABLE]
We have shown the estimate (6.2) and the proof is finished. ∎
We also have the following regularity result for solutions to the problem (1.1b) which is the second main result of this section. Here, we reduce the regularity of datum , compare with Proposition 3.2. In view of Step 2 in the proof of Lemma 6.2, we shall focus on the case .
Theorem 6.3**.**
Let be a bounded open set with a Lipschitz continuous boundary. Let , , and . Then for every , there is a unique solution of the Dirichlet problem (1.1b). In addition, and there is a constant such that
[TABLE]
Proof*.*
We prove the result in several steps.
Step 1: Firstly, for , by a solution to the Dirichlet problem (1.1b), we mean a function satisfying
[TABLE]
provided that the left and right hand sides expressions make sense.
Step 2: Secondly, since and , it follows from Corollary 5.4 that there exists a pair of functions such that
[TABLE]
Choose satisfying (6.17) and are such that
[TABLE]
Since and , it follows from [7, Proposition 2.2] that we have the continuous embedding . More precisely, there is a constant such that
[TABLE]
where we have used that . Thus, for every , we have
[TABLE]
Hence, (6.17) also holds for every . Thus the right and left hand sides of (6.16) make sense.
Step 3: We claim that there is a unique satisfying (6.16). As in the proof of Theorem 6.1, we have to show that the right hand side of (6.17) defines a linear continuous functional on . Indeed, let . Using Step 1 and Remark 2.2, we get that there is a constant such that
[TABLE]
and the claim is proved.
Step 4: It follows from Step 3 that the unique satisfying (6.16) is such that
[TABLE]
Therefore, proceeding exactly as in the proof of Theorem 6.1, we get that and there is a constant such that
[TABLE]
where we have used (6.18). We have shown the estimate (6.15) and the proof is finished. ∎
We have the following regularity result as a corollary of Theorems 6.3 and 3.4.
Corollary 6.4**.**
Let be a bounded Lipschitz domain satisfying the exterior cone condition. Let , , and . Let and let be the unique solution of (1.1b). Then .
Proof*.*
Let and a sequence such that in as . Let satisfy
[TABLE]
It follows from Theorem 3.4 that . Since satisfies
[TABLE]
it follows from Theorem 6.3 that and there is a constant (independent of ) such that
[TABLE]
Since and in as , it follows from the preceding estimate that in as . Thus, and the proof is finished. ∎
Next we improve the regularity of solving (3.1) with measure as the right-hand-side. Notice that such a result will immediately improve the regularity of the adjoint variable solving (4.5b). Recall that the best result so far proved for the solution to (3.1) is given in Theorem 3.6.
Corollary 6.5**.**
Let be a bounded Lipschitz domain satisfying the exterior cone condition. Let , , and . Let . Then there is a unique solution to (3.1) and there is a constant such that
[TABLE]
Proof*.*
The proof follows exactly as the proof of Theorem 3.6 with the exception that for the inequality (3.8), we use Corollary 6.4 to arrive at
[TABLE]
The preceding estimate implies that . The proof is finished. ∎
Recall that the “strong form” of the adjoint equation (4.5b) is given by
[TABLE]
Then using Corollary 6.5 and the fact that , we obtain the following regularity result for the adjoint variable .
Corollary 6.6** **(Regularity of the adjoint variable).
Let and let be the Lagrange multiplier given in Theorem 4.3. Then under the conditions of Corollary 6.5, we have that .
We conclude the paper with the following remark.
Remark 6.7** **(Regularity for the controls).
In case of the widely used cost functional
[TABLE]
*where is the given datum from (4.5c), invoking the standard projection formula type approach (see e.g., [30]), it is possible to show that has the same regularity as . *
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