Abstract
Our paper proposes a system of nonlinear mixed variational inequality problems (SNMVIPs) on Banach spaces. Under suitable assumptions, using the K-Fan fixed point theorem and Minty techniques, we demonstrate that the solution set to the SNMVIP is nonempty, weakly compact, and unique. Additionally, we suggest a stability result for the SNMVIPs by perturbing the duality mappings. Furthermore, we present an optimal control problem that is governed by the SNMVIPs and show that it can be solved.
Keywords:
system of nonlinear mixed variational inequality problem; inverse relaxed monotonicity; existence; uniqueness; stability; optimal control problem MSC:
47J20; 49J30; 35A15; 49N45; 47H20; 49H52
1. Introduction
Lin [1] introduced the system of generalized quasi-variational inclusion problems. This system includes the set of problems suggested on a product set. It includes several well-known problems such as variational inequalities, equilibrium problems, vector equilibrium problems, and variational inclusions/disclusion problems. The system of variational inequalities has concealed symmetries in both variational inequalities and fixed point theory. However, the appearance of scale symmetry in this system creates a void of symmetric hiddenness and has a correlation effect.
Undoubtedly, in the realm of engineering, sciences, technology, chemical processes, and economics, several challenging and complex problems frequently result in inequalities instead of straightforward equations. In this scenario, variational inequalities have become a formidable mathematical resource. Variational inequalities (VIs) essentially arise from applied models with an underlying convex foundation and have been the subject of extensive research since the 1960s, encompassing mathematical theories, numerical techniques, and practical applications (among other significant sources, see [2,3,4,5,6,7]).
It should be noted that the results mentioned earlier cannot be applied to coupled systems that consist of two elliptical mixed variational inequalities. System of VIs are a mathematical tool used to analyze mixed boundary value problems, control problems, and similar problems. More details can be found in [8,9,10,11,12].
In this paper, we suggest SNMVIPs and using the K-Fan fixed point theorem, the Minty techniques, and inverse relaxed monotonicity to establish the existence, convergence, uniqueness, stability, and optimal control of the problems.
Before we proceed, let us define the problem that will be discussed in this article. Consider two reflexive Banach spaces, and , with their dual spaces and , respectively. We denote the duality pairing between and X by and between and Y by . We use and → to denote the weak and the strong convergence in X, and denotes X with weak topology. The limits, lower limits, and upper limits are considered as n approaches infinity, even if not explicitly stated.
We can formulate SNMVIPs on Banach spaces:
Problem 1.
Determine such that
and
We note that if and , then Problem 1 reduces to the problem of [13] for finding such that
Definition 1.
Let be a subset of a Banach space X. Let be a proper convex and lower semicontinuous function, and . Then is called
- (i)
- Monotone, if
- (ii)
- Strictly monotone, if
- (iii)
- Inverse relaxed monotone with constant if
- (iv)
- Lipschitz continuous with constant if
- (v)
- φ-pseudomonotone, ifthen it implies that
- (vi)
- φ-stable-pseudomonotone with respect to the set , if and are φ-pseudomonotone for each
Let Z and Y be topological spaces and . We use the notation to represent the set of all possible subsets of the set V. Let be a set-valued map. represents the graph of and is defined as
The graph of is sequentially closed in if any sequence converging to as . Then,
Theorem 1.
[14] Let be a bounded, closed, and convex set of a subset of the reflexive Banach space Y. Let be a nonempty, closed, and convex set-values map whose graph is sequentially closed in the topology . Then, Λ has a fixed point.
2. Main Results
In this section, we focus on the uniqueness of solutions and their existence to Problem 1. We use the Minty methodology, Theorem 1, and the K-Fan fixed point theorem to establish the existence theorem for the solutions to Problem 1 under given modest assumptions. Additionally, we deploy the inverse relaxed monotonicity and Lipschitz continuity to prove two uniqueness results for Problem 1.
Furthermore, we propose that and be the set-valued maps described by
and
respectively.
The following assumptions must be made to solve Problem 1:
- (A):
- and are closed and convex.
- (B):
- and .
- (C):
- is such that
- (i)
- is a proper, convex and lower semicontinuous function;
- (ii)
- There exists such that
- (iii)
- For each , there exists such that [15]
- (D):
- is such that
- (i)
- is -stable-pseudomonotone with and fulfills
- (ii)
- It possesseswhen are such that
- (iii)
- is a function such thatand♠ every bounded set we have♠ for any it holds that as
- (iv)
- There exists such that
- (E):
- is such that
- (i)
- is a proper, convex and lower semicontinuous function;
- (ii)
- There exists such that
- (iii)
- For each , there exists such that [15]
- (F):
- is such that
- (i)
- is -stable-pseudomonotone with and fulfills
- (ii)
- It possesseswhen and are such that
- (iii)
- is a function such thatand♠ every bounded set , we have♠ any , it holds as
- (iv)
- ∃ a constant such that
Remark 1.
When ♭ appears in (D)(iii) (or ℓ appears in (F)(iii)) but has no effect on the second variable, the condition (D)(iii) (or (F)(iii)) becomes a subsequent uniformly coercive condition:
(D)(iii)′: ∃ with as such that
(respectively,(F)(iii)′: ∃ with as such that
The accessibility of solutions for Problem 1 is the main theorem of this article.
Theorem 2.
Suppose that
(A), (B), (C), (D), (E), and (F) are held. Then, the solution set denoted by of Problem 1 corresponding to is nonempty and weakly compact in .
We require the following lemmas to prove this theorem:
Lemma 1.
Assume that (A), (B), (C), and (D) are satisfied. Then, the following statements hold:
- (i)
- (ii)
- (iii)
- The graph of is sequentially closed in implying that is sequentially closed from a waek topology Y into the subsets of a weak topology X;
- (iv)
- If the map is strictly monotone for a fixed , then is a weakly continuous point-to-point mapping.
Proof.
The assumptions (i) and (ii) are the straightforward consequences of ([16], Theorem 3.3). Now, we present the conclusion (iii).
Let be such that
Then, for each , we have i.e.,
The (i) asserts that
To establish the upper limit as , we use assumption (D)(ii) and the weak lower semicontinuity of (because is convex and lower semicontinuous) to determine
Using the assumption (i), we obtain
Consequently, , which is the the graph of the mapping , is sequentially closure in
Additionally, assume that is strictly monotone. Let us consider be two solutions to (1). Then, we have
and
Given the assumption (C) and the strict monotonicity of , we obtain
Therefore, is a point-to-point mapping. However, assumption (iii) shows that is weakly continuous. □
Similarly, Problem (2) has the following lemma.
Lemma 2.
Assume that (A), (B), (E), and (F) are satisfied. Then, the following statements hold:
- (i)
- (ii)
- For fixed , the solution set namely, of (2) is nonempty, bounded, closed, and convex;
- (iii)
- The map has a sequentially closed graph in ;
- (iv)
- If the map is strictly monotone for a fixed , then is a weakly continuous point-to-point mapping.
Furthermore, we provide an a priori appraisal of the solution to Problem 1.
Lemma 3.
Let us assume that (A), (B), (C), (D), (E), and (F) have been fulfilled satisfactorily. If the solution set , namely, of Problem 1, is nonempty, then there exists such that
Proof.
Taking account of (14), we use hypotheses (C)(i), (iii), and (D)(iii)–(iv) to obtain
This implies that
Similarly, taking account of (15), we use hypotheses (E)(i), (iii) and (F)(iii)–(iv) to obtain
Contrarily, suppose is unbounded. Then, taking a subsequence, if necessary, it is possible to suggest a sequence so that
or
Let us segregate the subsequent cases:
Assuming a is valid, substitute and into (16) to obtain
When we let n approach infinity in the inequality (20) and make use of (18) along with property (D)(iii), we obtain the following:
Consequently, (21) produces a contradiction. Similarly, for b, we could use (17) to obtain a contradiction. However, we assume that c holds, and we will proceed to discuss two additional situations:
- (1)
- (2)
- There exist and such that
If item (1) is true, we enter and into (17) to yield
Taking the limit as n approaches infinity for the inequality mentioned above yields
It is obviously impossible; however, for a situation (2), we can deduce from (16) that
where is such that
This leads to a contradiction. Thus, is bounded in , allowing us to determine satisfying (13). □
Consider the set-valued mapping defined by
By invoking Lemma 1 and Lemma 2, it can be seen that is well defined. In addition, ∃ a bounded, closed, and convex set in such that maps into itself.
Lemma 4.
Suppose (A), (B), (C), (D), (E), and (F) are met. Then, ∃ a constant satisfy
where is defined as
Proof.
Our proof will be based on contradiction. Assume that
Then, for each , we may determine and (i.e., ) and so that
Thus, assuming for each (similarly for for each ). We employ (16); one has
Since
Therefore, passing to the limit as for the inequality above, we have
This leads to a contradiction. Thus, ∃ a constant satisfying
□
Proof. (Proof of Theorem 2)
Let us see that if has a fixed point , then
By employing the concepts of and , it offers
and
Thus, it is clear that solves Problem 1. We will apply Theorem 1, the K-Fan fixed point theorem, to determine the existence of a fixed point for .
Moreover, Lemmas 1, 2, and 4, in fact, infer that has nonempty, closed, and convex values; the graph of is sequentially closed in The conditions stated in Theorem 1 have been verified. From this theorem, It can be shown that Problem 1 has a solution , such that
Hence,
Lemma 3 clearly shows that is bounded in . Therefore, we will demonstrate that is weakly closed. Consider such that
It is clear that for each natural number n, the pair Since is sequentially closed from to (see Lemma 1 and Lemma 2), we can conclude that
This signifies that
Thus, due to the boundedness of , we can conclude that is weakly compact. □
Theorem 2 shows that the solution set of Problem 1 is both nonempty and weakly compact. However, it raises the question of whether it is possible to prove the uniqueness of the solution under certain assumptions. Fortunately, the theorems below provide a positive solution to this problem.
Theorem 3.
Assume that (A), (B), (C), (D), (E), and (F) are fulfilled. In addition, if the inequality below holds,
Then Problem 1 has a unique solution.
Proof.
Theorem 2 assures that
We now demonstrate that Problem 1 has unique solution. Assume are the two different solutions. Then,
and
After setting to correspond to and to correspond to in Equation (28), we add the two equations to obtain
Similarly, assigning to correspond to and to correspond to in Equation (29), we add the two equations to obtain
This, combined with the condition (27), implies that and . Thus, Problem 1 has a unique solution. □
By adding an additional condition to (27), the resulting theorem establishes a unique solution for Problem 1.
Theorem 4.
Assume that (A), (B), (C), (D), (E), and (F) are fulfilled. If the following assumptions are met:
- ➀
- The function is inversely relaxed monotone and Lipschitz continuous for , with constants and . Moreover, for each the function is Lipschitz continuous with ;
- ➁
- The function is inversely relaxed monotone and Lipschitz continuous for , with and . Moreover, for every the function is Lipschitz continuous with ;
- ➂
Then Problem 1 has a unique solution.
Proof.
Let and be two solutions to Problem 1. Then, it has
and
Again, from the inverse relaxed monotonicity and Lipschitz continuity of , we have
Similarly, we obtain
However, the inequality implies that and
Therefore, Problem 1 has a unique solution. □
3. Stability Results
In this section, we delve into examining the stability of the system of nonlinear mixed variational inequality problems. Firstly, we present a set of regularized problems perturbed by duality mappings that correspond to Problem 1. Secondly, we arrive at a stability conclusion that demonstrates that every solution sequence to a regularized problem contains at least one subsequence that solves Problem 1.
Let X and Y be two reflexive Banach spaces, and let and be their dual spaces. We assume that X and Y are strictly convex without losing the generality. Let and be the duality mappings, so that
Let and be real sequences such that
Consider the following perturbated problem for every which corresponds to Problem 1.
Problem 2.
Determine so that
and
We assume the following.
- (G):
- and are monotone, and meet
- (H):
- is inverse relaxed monotone with and Lipschitz continuous with ; similarly, is inverse relaxed monotone with and Lipschitz continuous with , and fulfil
The theory described below ensures that solutions to Problem 2 exist and converge.
Theorem 5.
Assume that (A), (B), (C), (D) (ii)–(iv), (E), and (F) (ii)–(iv) are satisfied. Then the following assertions hold:
- (i)
- If, in addition to assumption(G), Problem 2 has at least one solution for every ;
- (ii)
- Furthermore, if(G)holds, there is a subsequence for every solution of the sequence to Problem 2, such thatwhere solves the Problem 2;
- (iii)
- Under the conditions of(H), any sequence of solutions of Problem 2 has a subsequence such thatwhere solves Problem 1.
Proof.
- (i)
- AssignandWe shall confirm that and satisfy, respectively, (D) and (F). Observe that is demicontinuous andUsing hypotheses (G), we determine that (D)(i) is satisfied for each , . Utilizing the information that andIt is easy to show that satisfies (D)(ii)–(iv). Similarly, satisfies (F). Consequently, by using Theorem 2, we can argue that Problem 2 has a solution.
- (ii)
- Let be any arbitrary sequence that solves Problem 2. Next, a meticulous calculation yieldsandThe same argument that was employed in Lemma 3’s proof that is bounded in .If necessitated we can go to a relabeled subsequence and assume thatBy using the monotonicity of and , we can make the following deduction:andBy taking the upper limit as and applying conditions (D)(ii) and (F)(ii), we infer thatandHere, we utilized the boundedness of . Using the Minty approach, we find to solve Problem 1, i.e.,
- (iii)
- It can be deduced from (ii) that if we have a sequence of solutions denoted by for Problem 2, there will always exist a subsequence of that satisfies (42). We assert that the sequence has a strong convergence to . It is simple to demonstrate thatBy using hypothesis (D)(ii) and taking the upper limit as n approaches infinity on the above inequality, we obtain
This implies that
On the other hand, it has
□
4. Optimal Control
In this section, we explore optimal control for the SNMVIPs. Additionally, we examine and demonstrate the solveability of an optimal control problem that is influenced by the nonlinear mixed variational inequality system.
Consider two Banach spaces and with continuous embeddings from X to and from Y to . Let and be two target profiles. We define subspaces and such that the embeddings from U to and V to are compact. We now examine the ensuing optimal control problem:
Problem 3.
Find such that
in which is defined as
Here, denotes the set of solution to Problem 1 for , where the regularized parameters are and .
We assume that the function satisfies the following conditions:
(K): is such that
- (i)
- is bounded from beneath;
- (ii)
- is coercive on , that is, it maintains
- (iii)
- is weakly lower semicontinuous on , i.e.,whenever and are such that
In this context, we are exploring the existence result for Problem 3.
Theorem 6.
Assume that (A), (B), (C), (D) (ii)–(iv), (E), and (F) (ii)–(iv) hold. If (K) and (G) are also satisfied, then Problem 3 has an optimal control pair.
Proof.
For each fix , the closedness of ensures that such that
is attainable.
According to ℸ and (K)(i), there exists a minimizing sequence such that
We assume that the sequence is bounded in . To arrive at a contradiction, we suppose that
Using the latter with (K)(ii), we can conclude that
The result is a contradiction, which means that is bounded in . Passing to a relabeled subsequence if necessary, we may assume that
Let satisfy (53) by letting , , and . We will now prove that is uniformly bounded in . A simple computation reveals that
and
Since there is continuity in the embeddings from U to and from V to , we use the same approach as in the proof of Lemma 3 to show that the sequence is uniformly bounded in . Without loss of generality, we can assume that
Using the Minty approach yields
and
The embedding from into is compact, and (56) implies that
Taking the upper limit as for (60) and (61), we obtain
and
where we used (F)(ii) and (D)(ii). Using the Minty trick once more, we accomplish
The weaker lower semicontinuity of and , however, suggests that
Note that is weakly lower semicontinuous on ; it implies
Author Contributions
Conceptualization, H.G. and A.A.H.A.; methodology, H.G.; software, A.A.H.A.; validation, H.G., A.A.H.A. and S.; formal analysis, H.G.; investigation, H.G.; resources, Salahuddin; data curation, H.G.; writing—original draft preparation, S.; writing—review and editing, S.; visualization, S.; supervision, H.G.; project administration, H.G.; funding acquisition, S. All authors have read and agreed to the published version of the manuscript.
Funding
Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia funded this research work through Project Number: ISP-2024.
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors are grateful to the anonymous referee for their useful comments and suggestions, which have improved the quality of the paper.
Conflicts of Interest
The authors declare no conflicts of interest.
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