On attainability of optimal controls in coefficients for system of Hammerstein type with anisotropic p-Laplacia
T. Durante, O.P. Kupenko, R. Manzo

TL;DR
This paper investigates the existence of optimal controls in a coupled system involving anisotropic p-Laplacian and Hammerstein equations, providing a variational approach and sensitivity analysis for regularized problems.
Contribution
It establishes the existence of optimal controls for a complex coupled PDE system with nonsmooth coefficients and analyzes their sensitivity to regularization parameters.
Findings
Existence of optimal controls proven for the coupled system.
Sensitivity analysis conducted for regularized problem variants.
Framework applicable to anisotropic p-Laplacian systems with nonsmooth controls.
Abstract
In this paper we consider an optimal control problem for the coupled system of a nonlinear monotone Dirichlet problem with anisotropic p-Laplacian and matrix-valued nonsmooth controls in its coefficients and a nonlinear equation of Hammerstein type. Using the direct method in calculus of variations, we prove the existence of an optimal control in considered problem and provide sensitivity analysis for a specific case of considered problem with respect to two-parameter regularization.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Numerical methods in inverse problems · Differential Equations and Boundary Problems
∎
11institutetext: T. Durante 22institutetext: Università degli Studi di Salerno, Dipartimento di Ingegneria dell’Informazione
ed Elettrica e Matematica Applicata,
Via Giovanni Paolo II, 132, 84084 Fisciano (SA), Italy
22email: [email protected] 33institutetext: O. Kupenko 44institutetext: National Mining University, Department of System Analysis and Control,
Yavornitskyi av., 19, 49005 Dnipro, Ukraine,
National Technical University of Ukraine “Kiev Polytechnical Institute”,
Institute for Applied and System Analysis,
Peremogy av., 37, build. 35, 03056 Kiev, Ukraine
44email: [email protected] 55institutetext: R. Manzo 66institutetext: Università degli Studi di Salerno, Dipartimento di Ingegneria dell’Informazione
ed Elettrica e Matematica Applicata,
Via Giovanni Paolo II, 132, 84084 Fisciano (SA), Italy
66email: [email protected]
On attainability of optimal controls in coefficients for system of Hammerstein type with anisotropic p-Laplacian
Tiziana Durante
Olha P. Kupenko
Rosanna Manzo
(Received: date / Accepted: date)
Abstract
In this paper we consider an optimal control problem (OCP) for the coupled system of a nonlinear monotone Dirichlet problem with anisotropic -Laplacian and matrix-valued -controls in its coefficients and a nonlinear equation of Hammerstein type. Using the direct method in calculus of variations, we prove the existence of an optimal control in considered problem and provide sensitivity analysis for a specific case of considered problem with respect to two-parameter regularization.
Keywords:
Nonlinear elliptic equations Hammerstein equation control in coefficients -Laplacian approximation approach
MSC:
47H30 35B20 35M12 35J60 49J20
††journal: Ricerche di Matematica
1 Introduction
The aim of this paper is to prove the existence result for an optimal control problem (OCP) governed by the system of a homogeneous Dirichlet nonlinear elliptic boundary value problem, whose principle part is an anisotropic -Laplace-like operator, and a nonlinear equation of Hammerstein type, and to provide sensitivity analysis for the specific case of considered optimization problem with respect to a two-parameter regularization. As controls we consider the symmetric matrix of anisotropy in the main part of the elliptic equation. We assume that admissible controls are measurable and uniformly bounded matrices of .
Systems with distributed parameters and optimal control problems for systems described by PDE, nonlinear integral and ordinary differential equations have been widely studied by many authors (see for example IvanMel ; KuMa15 ; Lions0 ; Lurie ; Zgurovski99 ). However, systems which contain equations of different types and optimization problems associated with them are still less well understood. In general case including as well control and state constraints, such problems are rather complex and have no simple constructive solutions. The system, considered in the present paper, contains two equations: a nonlinear elliptic equation with the so-called anisotropic -Laplace operator with homogeneous Dirichlet boundary conditions and a nonlinear equation of Hammerstein type, which nonlinearly depends on the solution of the first object. The optimal control problem we study here is to minimize the discrepancy between a given distribution and a solution of Hammerstein equation , choosing an appropriate matrix of coefficients , i.e.
[TABLE]
subject to constrains
[TABLE]
where is a positive linear operator, is a nonlinear operator, is a given distribution, and a class of admissible controls is a nonempty compact subset of .
The interest to equations whose principle part is an anisotropic -Laplace-like operator arises from various applied contexts related to composite materials such as nonlinear dielectric composites, whose nonlinear behavior is modeled by the so-called power-low (see, for instance, BS ; LK and references therein). It is sufficient to say that anisotropic -Laplacian has profound background both in the theory of anisotropic and nonhomogeneous media and in Finsler or Minkowski geometry Xia12 . As a rule, the effect of anisotropy appears naturally in a wide class of geometry — Finsler geometry. A typical and important example of Finsler geometry is Minkowski geometry. In this case, anisotropic Laplacian is closely related to a convex hypersurface in , which is called the Wulff shape Xia11 . Since the topology of the Wulff shape essentially depends on the matrix of anisotropy , it is reasonable to take such matrix as a control. From mathematical point of view, the interest of anisotropic -Laplacian lies on its nonlinearity and an effect of degeneracy, which turns out to be the major difference from the standard Laplacian on .
In practice, the equations of Hammerstein type appear as integral or integro-differential equations. The class of integral equations is very important for theory and applications, since there are less restrictions on smoothness of the desired solutions involved in comparison to those for the solutions of differential equations. It should be also mentioned here, that well posedness or uniqueness of the solutions is not typical for equations of Hammerstein type or optimization problems associated with such objects (see AMJA ). Indeed, this property requires rather strong assumptions on operators and , which is rather restrictive in view of numerous applications (see VainLav ). The physical motivation of optimal control problems which are similar to those investigated in the present paper is widely discussed in AMJA ; ZMN .
Using the direct method of the Calculus of Variations, we show in Section 4 that the optimal control problem (1)–(4) has a nonempty set of solutions provided the admissible controls are uniformly bounded in -norm, in spite of the fact that the corresponding quasilinear differential operator -\mathrm{div}\big{(}|(A\nabla y,\nabla y)_{\mathbb{R}^{N}}|^{\frac{p-2}{2}}A\nabla y\big{)}, in principle, has degeneracies as tends to zero Alessand . Moreover, when the term is regarded as the coefficient of the Laplace operator, we have the case of unbounded coefficients (see HK1 ; Ko ). In order to avoid degeneracy with respect to the control , we assume that matrix has a uniformly bounded spectrum away from zero. As for the optimal control problems in coefficients for degenerate elliptic equations and variational inequalities, we can refer to ButtazzoKogut ; CUO09 ; CUO12 ; CUPR14 ; KoLe3 ; KM2 ; KuMa15 .
A number of regularizations have been suggested in the literature. See Roubicek for a discussion for what has come to be known as -Laplace problem, such as . While the -Laplacian regularizes the degeneracy as the gradients tend to zero, the term , viewed again as a coefficient, may grow large CasasFernandez1991 . Therefore, following ideas of CKL , for the specific case of considered optimization problem we introduce yet another regularization that leads to a sequence of monotone and bounded approximation of . As a result, for fixed parameter and control , we arrive at a two-parameter variational problem governed by operator and a two-parameter Hammerstein equation with non-linear kernel . Finally, we deal with a two-parameter family of optimal control problems in the coefficients for a system of elliptic boundary value problem and equation of Hammerstein type. We consequently provide the well-posedness analysis for the perturbed optimal control problems in Sections 5. In section 6, we show that the solutions of two-parametric family of perturbed optimal control problems can be considered as appropriate approximations to optimal pairs for the original problem similar to (1)–(4). To the end, we note that the approximation and regularization are not only considered to be useful for the mathematical analysis, but also for the purpose of numerical simulations. The numerical analysis as well as the case of degenerating controls are subjects to future publications.
2 Notation and preliminaries
Let be a bounded open subset of () with a Lipschitz boundary. Let be a real number such that , and let be the conjugate of . Let be the set of all symmetric matrices , (). We suppose that is endowed with the Euclidian scalar product and with the corresponding Euclidian norm . We also make use of the so-called spectral norm \|A\|_{2}:=\sup\big{\{}|A\xi|\ :\ \xi\in\mathbb{R}^{N}\ \text{ with }\ |\xi|=1\big{\}} of matrices , which is different from the Euclidean norm . However, the relation holds true for all .
Let L^{1}(\Omega)^{\frac{N(N+1)}{2}}=L^{1}\big{(}\Omega;\mathbb{S}^{N}\big{)} be the space of integrable functions whose values are symmetric matrices. By we denote the space of all matrices in for which the norm
[TABLE]
is finite.
Weak Compactness Criterion in . Throughout the paper we will often use the concept of weak and strong convergence in . Let be a bounded sequence of functions in . We recall that is called equi-integrable on , if for any there is a such that for every measurable subset of Lebesgue measure . Then the following assertions are equivalent for -bounded sequences:
- (i)
a sequence is weakly compact in ; 2. (ii)
the sequence is equi-integrable.
Lemma 1 (Lebesgue’s Theorem)
If a sequence is equi-integrable and almost everywhere in then in .
Lemma 2 (Zh2010 )
If a sequence is bounded in , a.e. in and is equi-integrable, then strongly in .
Lemma 3 (Zh2010 )
Let and be Caratheodory vector functions acting from to . These vector functions are assumed to satisfy the monotonicity and pointwise convergence conditions
[TABLE]
for a.e. and every . If in , in , then
[TABLE]
and in the case of equality in (6), we have .
Admissible controls. Let , be given elements of satisfying the conditions
[TABLE]
where is a given positive value.
We define the class of admissible controls as follows
[TABLE]
where is a given constant. In view of estimate
[TABLE]
it is clear that is a nonempty convex subset of .
Anisotropic Laplace operator. Let us consider now the nonlinear operator defined as
[TABLE]
or via the pairing
[TABLE]
Definition 1
We say that a function is a weak solution (in the sense of Minty) to boundary value problem
[TABLE]
for a fixed control and given function if the inequality
[TABLE]
holds for any .
Remark 1
Another definition of the weak solution to the considered boundary value problem appears more natural:
[TABLE]
However, both concepts for the weak solutions coincide (see, for instance, Past ).
Let us show that for each operator is strictly monotone, coercive and semi-continuous, where the above mentioned properties have respectively the following meaning:
[TABLE]
Indeed, the right-hand side of (9) is continuous with respect to and, therefore, represents an element of because
[TABLE]
(we apply here the Hölder’s inequality and estimate coming from the condition ). Hence, for each the operator is bounded. The coercivity property of we get immediately, since
[TABLE]
As for the proof of the strict monotonicity and semicontinuity of the operator , we refer for the details to Lions69 ; Roubicek ). Then, by well known existence results for non-linear elliptic equations with coercive, semi-continuous, strictly monotone operators, the Dirichlet boundary value problem (10)–(11) admits a unique weak solution for every fixed control matrix and every distribution .
On equations of Hammerstein type. Let and be Banach spaces, let be an arbitrary bounded set, and let be the dual space to . To begin with we recall some useful properties of non-linear operators, concerning the solvability problem for Hammerstein type equations and systems.
Definition 2
We say that the operator is radially continuous if for any there exists such that for all and a real-valued function is continuous.
Definition 3
An operator is said to have a uniformly semi-bounded variation (u.s.b.v.) if for any bounded set and any elements such that , , the following inequality
[TABLE]
holds true provided the function is continuous for each element , and as , . Here, is a seminorm on such that is compact with respect to the norm .
It is worth to note that Definition 3 gives in fact a certain generalization of the classical monotonicity property. Indeed, if , then (17) implies the monotonicity property for the operator with respect to the second argument.
Remark 2
Each operator with u.s.b.v. possesses the following property (see for comparison Remark 1.1.2 in AMJA ): if a set is such that and for all and , then there exists a constant such that , and .
Let and be given operators such that the mapping is linear. Let be a given distribution. Then a typical operator equation of Hammerstein type can be represented as follows
[TABLE]
The following existence result is well-known (see (AMJA, , Theorem 1.2.1)).
Theorem 2.1
Let be a linear continuous positive operator such that there exists a right inverse operator . Let be an operator with u.s.b.v such that is radially continuous for each and the following inequality holds true
[TABLE]
Then the set
[TABLE]
is non-empty and weakly compact for every fixed and .
In what follows, we set , , and .
3 Setting of the optimal control problem
Let us consider the following optimal control problem:
[TABLE]
subject to the constraints
[TABLE]
where and are given distributions, is a linear operator, is a non-linear operator.
Let us denote by the set of all admissible triplets to the optimal control problem (19)–(22).
Hereinafter we suppose that the space is endowed with the norm .
Remark 3
We recall that a sequence converges weakly-∗ to in if and only if the two following conditions hold (see AFP2000 ): strongly in and weakly∗ in the space of Radon measures . Moreover, if converges strongly to some in and satisfies , then (see, for instance, AFP2000 )
[TABLE]
Also we recall, that uniformly bounded sets in -norm are relatively compact in .
Definition 4
We say that a sequence of triplets from the space -converges to a triplet if in , in and in .
Further we use the following auxiliary results.
Proposition 1
For each and every , a weak solution to variational problem (20)–(21) satisfies the estimate
[TABLE]
Proof
The estimate (24) immediately follows from the following relations
[TABLE]
Lemma 4
Let be a sequence of pairs such that , in , and in . Then
[TABLE]
Proof
Since in and is bounded in , by Lebesgue’s Theorem we get that strongly in for every . Hence, strongly in for every . Therefore,
[TABLE]
Moreover, since strongly in for every and in , it follows that
[TABLE]
as a product of weakly and strongly convergent sequences in and , respectively. Using the fact that
[TABLE]
we finally get from (27)
[TABLE]
Thus, to complete the proof it remains to note that
[TABLE]
and apply the properties (26) and (28).
The following result concerns the regularity of the optimal control problem (19)–(22).
Proposition 2
Let and be operators satisfying all conditions of Theorem 2.1. Then the set
[TABLE]
is nonempty for every .
Proof
Let be an arbitrary admissible control. Then for a given , the Dirichlet boundary problem (20)–(21) admits a unique solution which satisfies the estimate (24). It remains to remark that the corresponding Hammerstein equation has a nonempty set of solutions by Theorem 2.1.
4 Existence of optimal solutions
The following result is crucial for our consideration and it states the fact, that the set of admissible triplets to the optimal control problem (19)–(22) is closed with respect to -topology of the space .
Theorem 4.1
Assume the following conditions hold:
- •
The operators and satisfy conditions of Theorem 2.1;
- •
The operator is compact in the following sense:
if weakly in , then strongly in .
Then for every the set is sequentially -closed, i.e. if a sequence -converges to a triplet , then , , , and, therefore, .
Proof
Let be any -convergent sequence of admissible triplets to the optimal control problem (19)–(22), and let be its -limit in the sense of Definition 4. We divide the rest of the proof onto two steps.
Step 1. On this step we show that and . As follows from Definition 4 and Remark 3, we have
[TABLE]
Moreover, as follows from (30) and definition of the set (see (8)), the inequality
[TABLE]
is valid. Thus, . Hence, it is enough to show that the limit pair is related by (20) or (12) (see Definition 1 and Remark 1). With that in mind we write down relation (12) for and arbitrary :
[TABLE]
and pass to the limit in it as .
In view of the properties (29)–(32) and the boundedness of in , by Lebesgue’s Theorem we get that strongly in for every . Therefore,
[TABLE]
and, by Lemma 4,
[TABLE]
We, thus, can pass to the limit in relation (33) as and arrive at the inequality
[TABLE]
which means that is a solution to boundary value problem (20)–(21), corresponding to control matrix . This fact together with leads us to the conclusion: .
Step 2. On this step we show that . To this end, we have to pass to the limit in equation
[TABLE]
as and get the limit pair is related by the equation With that in mind, let us rewrite equation (34) in the following way
[TABLE]
where , is the conjugate operator for , i.e. and . Then, for every , we have the equality
[TABLE]
The left-hand side in (35) is strictly positive for every , hence, the right-hand side must be positive as well. In view of the initial assumptions, namely,
[TABLE]
we conclude that
[TABLE]
Since the linear positive operator cannot map unbounded sets into bounded ones, it follows that . As a result, see (35), we have
[TABLE]
Hence, in view of Remark 2, we get
[TABLE]
Since the left-hand side of (35) does not depend on , it follows that the constant does not depend on as well.
Taking these arguments into account, we may suppose existence of an element such that up to a subsequence the weak convergence in takes place. As a result, passing to the limit in (34), by continuity of , we finally get
[TABLE]
It remains to show that . Let us take an arbitrary element such that . Using the fact that is an operator with u.s.b.v., we have
[TABLE]
where , or, after transformation,
[TABLE]
Since , it follows from (38) that
[TABLE]
In the meantime, due to the weak convergence in as , we arrive at the following obvious properties
[TABLE]
Moreover, the continuity of the function with respect to the second argument and the compactness property of operator , which means strong convergence in , lead to the conclusion
[TABLE]
As a result, using the properties (40)–(43), we can pass to the limit in (39) as . One gets
[TABLE]
Since by (37), we can rewrite the inequality (44) as follows
[TABLE]
It remains to note that the operator is radially continuous for each , and is the operator with u.s.b.v. (see Definitions 2 and 3). Therefore, the last relation implies that (see (AMJA, , Theorem 1.1.2)) and, hence, equality (37) finally takes the form
[TABLE]
Thus, and the triplet is admissible for OCP (19)–(22). The proof is complete.
Remark 4
In fact, as follows from the proof of Theorem 4.1, the set of admissible solutions to the problem (19)–(22) is sequentially -compact. To prove this fact it is enough to show the sequential compactness of the set of admissible controls with respect to the mentioned topology. Indeed, the set is bounded in , so any sequence is weakly- relatively compact in . This implies (see (8)) boundedness of in within a subsequence and, according to Remark 3, there exist an element and a subsequence, still denoted by the same index, such that in . It is easy to see, that correspondent solutions of (19)–(20) , due to estimate (24), form a weakly compact sequence in and sequence is bounded in (see the proof of Theorem 4.1), hence, it is weakly compact as well.
Now we are in a position to prove the existence result for the original optimal control problem (19)–(22).
Theorem 4.2
Assume that and operators and satisfy preconditions of Theorem 4.1. Then the optimal control problem (19)–(22) admits at least one solution
[TABLE]
for each and .
Proof
Since the cost functional in (19) is bounded from below and, by Theorem 2.1, the set of admissible solutions is nonempty, there exists a sequence such that
[TABLE]
As was mentioned in Remark 4, the set of admissible solutions to the problem (19)–(22) is sequentially -compact. Hence, there exists an admissible solution such that, up to a subsequence, as . In order to show that is an optimal solution of problem (19)–(22), it remains to make use of the lower semicontinuity of the cost functional with respect to the -convergence
[TABLE]
The proof is complete.
5 Regularization of OCP (19)–(22)
In this section we introduce the two-parameter regularization for a specific example of the considered optimization problem for the case when the terms , and may grow large. Indeed, this circumstance causes certain difficulties in the process of deriving optimality conditions. As a result, we show that in suitable topologies optimal solutions of regularized problems tend to some optimal solutions of the initial problem.
The Hammerstein equation (22) in the initial optimal control problem (19)–(22) is given in rather general framework, so, for the sake of convenience, in this section we choose operators and more specifically, however, preconditions of theorem Theorem 4.2 are still satisfied.
Let us take a linear bounded and positive operator as follows
[TABLE]
where the kernel is such that
[TABLE]
Remark 5
In view of condition (47), there exists a constant such that
[TABLE]
Hence, the linear positive operator , considered as a mapping from to , still maintains positivity and boundedness properties.
As for the nonlinear operator , we specify it to the form . It is clear that in this case is strictly monotone, radially continuous with respect to second argument and compact with respect to the first argument. So, further we deal with the following Hammerstein equation
[TABLE]
Remark 6
The above Hammerstein equation has a unique solution for each fixed . Indeed, if are two different solutions, corresponding to , then . Let us multiply this equality on , where and . Positivity property of and strict monotonicity of with respect to the second argument imply
[TABLE]
Hence, the initial control problem takes the form
[TABLE]
As was pointed out in Roubicek , the anisotropic -Laplacian provides an example of a quasi-linear operator in divergence form with a so-called degenerate nonlinearity for . In this context we have non-differentiability of the state with respect to the matrix-valued control . As follows from Theorem 4.2, this fact is not an obstacle to prove existence of considered optimal controls in the coefficients, but it causes certain difficulties when one is deriving the optimality conditions for this problem. To overcome this difficulty, in this section we introduce the family of correspondent approximating control problems (see, for comparison, the approach of Casas and Fernandez CasasFernandez1991 for quasi-linear elliptic variational inequalities with a distributed control in the right hand side).
[TABLE]
subject to the constraints
[TABLE]
Here, is defined in (8), , is a small parameter, which varies within a strictly decreasing sequence of positive numbers converging to [math] and
[TABLE]
where is a non-decreasing -function such that
[TABLE]
The main goal of this section is to show that, for each and , the approximating optimal control problem (52)–(55) is well posed and its solutions can be considered as a reasonable approximation of optimal pairs to the original problem (48)–(51). To begin with, we establish a few auxiliary results concerning monotonicity and growth conditions for the regularized anisotropic -Laplacian and (see for comparison KuMa15 ).
Remark 7
It is clear that the effect of such perturbations of and is their regularization around critical points and points where , and become unbounded. In particular, if and , then the following chain of inequalities
[TABLE]
shows that the Lebesgue measure of the set satisfies the estimate
[TABLE]
for any element . For and we obviously get similar estimates for all and
[TABLE]
which mean that approximations , , are essential on sets with small Lebesgue measure.
Proposition 3
For every , , and , the operator is bounded, strictly monotone, coercive (in the sense of relation (15)) and semi-continuous.
Proof
The proof is given in Appendix.
Proposition 4
For every and the operator is bounded, is strictly monotone and radially continuous for every , and is compact in the following sense: if in , then strongly in as .
Proof
The proof is given in Appendix.
Using above results we arrive at the following assertion.
Proposition 5
The set of admissible solutions to problem (52)–(55)
[TABLE]
is nonempty for every .
Proof
Properties of the operator given by Proposition 3 imply, that for every fixed and boundary value problem (53)–(54) admits a unique weak solution for every and . Moreover, the following estimate takes place
[TABLE]
Hence, we have . And what is more, there exists such that for any and all the inequality
[TABLE]
holds true. Since the operator , given by (46), maps , it follows from Theorem 2.1 that the set
[TABLE]
is non-empty and weakly compact.
Definition 5
We say that a sequence of triplets from the space -converges to a triplet if in , in and in .
By analogy with Theorem 4.1 it is easy to show, that the set of admissible triplets to the optimal control problem (52)–(55) is sequentially closed and compact with respect to -topology of the set . We conclude the section with the following result.
Theorem 5.1
For every and every integer , the optimal control problem (52)–(55) is solvable, i.e. there exists a triplet such that
[TABLE]
Proof
Since the cost functional in (52) is bounded from below and the set of admissible solutions is nonempty, it follows that there exists a minimizing sequence such that
[TABLE]
Hence, there exists a constant such that
[TABLE]
Moreover, in view of definition of the set , we have
[TABLE]
Hence, there exists a subsequence and a triplet such that
[TABLE]
In view of -closedness of the set , we have . It remains to make use of the lower semicontinuity of the cost functional with respect to the -convergence
[TABLE]
The proof is complete.
6 Asymptotic Analysis of the Approximating OCP (52)–(55)
Our main intention in this section is to show that some optimal solutions to the original OCP (48)–(51) can be attained (in certain sense) by optimal solutions to the approximating problems (52)–(55). With that in mind, we make use of the concept of variational convergence of constrained minimization problems (see KogutLeugering2011 ). In order to study the asymptotic behaviour of a family of OCPs (52)–(55), the passage to the limit in relations (52)–(55) as and has to be realized. The expression “passing to the limit” means that we have to find a kind of “limit cost functional” and “limit set of constraints” with a clearly defined structure such that the limit object to the family (52)–(55) could be interpreted as some OCP.
Further we use the folowing notation
[TABLE]
Proposition 6
Let , , and be given. Then, for arbitrary and , we have
[TABLE]
Proof
The proof is given in Appendix.
Remark 8
For any fixed admissible control and an arbitrary element such that with a constant independent of and for the set we have
[TABLE]
Hence, the Lebesgue measure of the set satisfies the estimate
[TABLE]
Theorem 6.1
For every and every the sequence of weak solutions to boundary value problem (53)–(54) is uniformly bounded in .
Proof
Using notation (61) and Proposition 6, from (53) we get
[TABLE]
Since for , it follows from (64) that
[TABLE]
Hence, there exist , and such that and the required assertion immediately follows from the estimate (see the proof of Proposition 6)
[TABLE]
The following results are crucial for our further analysis.
Theorem 6.2
Let be a given sequence of admissible controls. Let be a sequence of correspondent solutions to problem (53)–(54). Then each cluster point of the sequence with respect to the weak convergence in , satisfies: .
Proof
To establish this property, we suppose, due to Theorem 6.1, that there exists a subsequence of (here, and as ) and a distribution such that in as . Further, we fix an index and associate it with the following set
[TABLE]
Due to estimates (63), we see that
[TABLE]
and, therefore,
[TABLE]
Using the fact that
[TABLE]
and (65), we have that sequence is bounded in . Since, in , we infer that in as well. Hence,
[TABLE]
Thus, and the proof is complete.
Proposition 7
Let be a given sequence of admissible triplets to problem (52)–(55). Then the sequence is bounded in .
Proof
First, we show boundedness of the sequence in . We are going to find such that for all and the inequality holds (see Theorem 4.1). We have
[TABLE]
which implies and vice versa.
As is a solution of Hammerstein equation (55), the following estimate takes place
[TABLE]
Now we show that . Indeed, maps (see (46)) and , we immediately obtain that any solution of the equation belongs to . Moreover, since is also linear continuous operator, mapping to , it cannot map unbounded sets into bounded, hence there exists a constant such that . By Hölder inequality
[TABLE]
As a result, the boundedness of implies existence of a constant such that .
Proposition 8
Let be a given sequence such that
[TABLE]
Then, within a subsequence,
[TABLE]
Proof
The proof is given in Appendix.
Proposition 9
Let and as and be a sequence of admissible triplets to problem (52)–(55), such that
[TABLE]
Then in , where
[TABLE]
and strongly in .
Proof
Step 1. Here we show, that
[TABLE]
in view of equation (55) we have . Since sequence is bounded in (see Proposition 7) then the following estimate takes place. Indeed,
[TABLE]
because
[TABLE]
Continuity of implies boundedness in of the left-hand side of equation
[TABLE]
Hence, the right-hand side is bounded in as well, and, therefore,
[TABLE]
Using Proposition 8 and continuity of , we obtain the strong convergence of the sequence in the right-hand side of equation (72), i.e.
[TABLE]
In particular, this fact leads to the strong convergence of the left-hand side, i.e.
[TABLE]
where is a weak limit of within a subsequence.
Now we are in a position to show, that . Indeed, let is such that . In view of properties of , weakly in , . Now we multiply on both sides of equality (72). We have
[TABLE]
If we put , then and Lemma 3 implies
[TABLE]
However, in view of (73), all inequalities in (75) become equalities and Lemma 3 implies and, in particular, after passing to the limit in (72), we obtain the desired equation
[TABLE]
Step 2. We are left to show the strong convergence of to element in . Indeed, by (71)
[TABLE]
and as , since weakly in . Let us denote and, by (59), . Then the following chain of relations takes place
[TABLE]
Let us show, that for . Indeed, as for , we easily get the desired result, since, as follows:
[TABLE]
And by Lebesgue’s theorem (see Lemma 1), we have
[TABLE]
as the integrand converges to zero a.e. in and the estimate
[TABLE]
provides its equi-integrability property.
Hence, combining (76),(77) and (78), we get as . Since and for all , it follows that and . However,
[TABLE]
where similarly to (77)
[TABLE]
Hence, by well known inequality , taking into account (79) and (80), we have
[TABLE]
Thus in . The proof is complete.
We are now in a position to show that optimal pairs to approximating OCP (52)–(55) lead in the limit to some optimal solutions to the original OCP (48)–(51). With that in mind we make use of the scheme of the direct variational convergence of OCPs KogutLeugering2011 . We begin with the following definition for the convergence of constrained minimization problems.
Definition 6
A problem is the variational limit of the sequence as and with respect to the -convergence in , if the following conditions are satisfied:
- (d)
If sequences , , and are such that and as , , and in as follows
[TABLE]
then
[TABLE] 2. (dd)
For every , there exists a sequence (called a -realizing sequence) such that
[TABLE]
Then the following result holds true KogutLeugering2011 .
Theorem 6.3
Assume that the constrained minimization problem
[TABLE]
is the variational limit of sequence as and in the sense of Definition 6 and this problem has a nonempty set of solutions
[TABLE]
For every and , let be a minimizer of on the corresponding set . If the sequence is bounded in , then there exists a triplet such that
[TABLE]
The main result of this section can be stated as follows.
Theorem 6.4
The optimal control problem (48)–(51) is the variational limit of the sequence (52)–(55) as and .
Proof
To show, that all conditions of Definition 6 hold true, we begin with the property . Let , , and be sequences such that and as , , and in the sense of relations (81). We note that by Theorem 6.2. Since the inequality (82) is a direct consequence of semicontinuity of the cost functional with respect to -convergence in , it remains to show that . To this end, we note that the inclusion is guaranteed by the strong convergence in and condition for all . In order to show that is related by (49), let us fix an arbitrary function and pass to the limit in the Minty inequality (see Remark 1)
[TABLE]
as . Taking into account that strongly in any , we have (see for comparison Proposition 8)
[TABLE]
and making use of Lemma 4, we get
[TABLE]
Upon passing to the limit in (89) as , we arrive at the relation
[TABLE]
which means that is a weak solution to the boundary value problem (49)–(50). Making use of Proposition 9 we obtain that is a solution of Hammerstein equation (51), so .
The next step is to prove property (dd) of Definition 6. Let be an arbitrary admissible pair to the original OCP (48)–(51). We construct a -realizing sequence as follows: for all and , and is a corresponding weak solution to regularized BVP (53)–(54) under and is a solution of regularized Hammerstein equation (55) under . Then, for all and , and, as follows from Theorem 6.1 and Proposition 7, this sequence is relatively compact with respect to the -convergence in . Hence, applying the arguments of the previous step, we obtain: all cluster pairs of the sequence with respect to the -convergence in are related by (49)–(51) and belong to . The boundary value problem (49)–(50) has a unique weak solution for each , hence in . Just as well, according to Remark 6, the Hammerstein equation (51) has a unique solution for each , hence, . It remains to establish relation (85), which obviously holds due to strong convergence , given by Proposition 9.
Appendix
.
Proof of Proposition 3
Boundedness. From the assumptions on and the boundedness of , we get
[TABLE]
Strict monotonicity We make use of the following algebraic inequality, which is proved in (KuMa151, , Proposition 4.4):
[TABLE]
With this, having put , we obtain
[TABLE]
Since the relation \big{<}\mathcal{A}_{{\varepsilon},k}(A,y)-\mathcal{A}_{{\varepsilon},k}(A,v),y-v\big{>}_{H^{-1}(\Omega);H^{1}_{0}(\Omega)}=0 implies , it follows that the strict monotonicity property (13)–(14) holds true for each , , and .
Coercivity. The coercivity property obviously follows from the estimate
[TABLE]
Semi-continuity. In order to get the equality
[TABLE]
it is enough to observe that
[TABLE]
as almost everywhere in , and make use of Lebesgue’s dominated convergence theorem.
Proof of Proposition 4
Similarly to the proofs of Proposition 3, the boundedness, strict monotonicity, and radial continuity of can be shown. It remains to prove the compactness property. Let in . Hence, strongly in and, up to a subsequence, a.e. in . We must show that strongly in , i.e.
[TABLE]
Obviously, a.e. in . Also, the following estimate implies the equi-integrability property of this function
[TABLE]
Therefore, due to Lebesgue’s Theorem 1,
[TABLE]
i.e. (91) holds true.
Proof of Proposition 6.
Let us fix an arbitrary element of . We associate with this element the set , where . Then
[TABLE]
Since a.e. in , and a.e. in , we get
[TABLE]
and
[TABLE]
As a result, inequality (92) finally implies the desired estimate. The proof is complete.
Proof of Proposition 8
Due to strong convergence in and relations
[TABLE]
it is enough to prove that strongly in as for .
Step 1. To prove we use Lemma 2. The initial suppositions imply that sequence is bounded in and converges to 0 almost everywhere in . On this step we are left to prove only the equi-integrability property of the sequence . Let us notice, that and, using Hölder inequality with exponents , where , , we have
[TABLE]
Indeed, , because and within a subsequence, still denoted by the same index, a.e. in . As for the second integral, we have
[TABLE]
Step 2. Here we prove that strongly in . Indeed, within a subsequence, a.e. in and closely following the arguments of the previous step it can be shown that
[TABLE]
It remains to apply Lemma 2.
Acknowledgements. The research was partially supported by Grant of the President of Ukraine GP/F61/017 and Grant of NAS of Ukraine 2284/15.
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