Abstract
We present existing results and properties for the solutions of some vector equilibrium problems with set-valued functions in the case of a vector space ordered by a cone with some “interiority” properties. Some applications concerning the existence of equilibrium for abstract economies and vector optimization problems are given.
Keywords:
ordered vector space; convex cone; efficient points; vector equilibrium problem; solutions set; set-valued function; abstract economy; Walrasian equilibrium; efficient points; conjugate duality MSC:
46E40; 58E17; 90C33; 91B15
1. Introduction
Begining with Blum and Oettli [1], who introduced an equilibrium problem as a generalization for the well-known Ky Fan inequalities, some vector equilibrium problems (VEPs) have been studied in the literature (see for instance [2,3,4,5,6,7,8,9]) as a tool which unifies the vector variational problem, vector complementary problem, vector optimization problem, vector saddle points problem, Nash equilibrium problem, and fixed point problem.
These problems was formulated with real or vector functions and multifunctions under various assumptions (concerning for example the presence or the absence of the convexity, the monotonicity, or the lower semicontinuity) and interesting results are obtained for the nonemptiness of the solutions set and its properties (see [10,11,12,13,14,15,16]).
Often, for the vector case, the results for VEPs are presented in spaces ordered by a nonempty, convex, pointed cone with a nonempty interior (see [7,17,18]). The framework considered here is a general one which includes both the case of cones with a nonempty and empty interior. In this context, some properties for VEPs with functions are given in [3,19,20] and some of these results can be found as particular cases of those in this paper for VEPs with set valued maps.
It is a theoretical approach to these problems that will be used as a mathematical support for the study of applications from the final sections.
We present in this paper a unified study for some vector equilibrium problems presented in Section 2 for set-valued functions (or multifunctions) with values in a vector space ordered by a cone with some “interiority property” (such as a nonempty interior or quasi interior or relative quasi interior). Section 3 presents some existence results for the solutions set of this problem. Section 4 gives properties for these solutions sets, such as the connectedness and the continuity. The Section 5 and Section 6 provide some applications of VEPs regarding the existence of equilibrium in abstract economies and the vector optimization problems.
2. Preliminaries
Let , , be locally convex spaces, , be nonempty convex compact sets, be a convex set, and let be nonempty, convex, pointed cones. We denote by the topological dual space of Z, is the dual cone, i.e., and is the quasi-interior of the dual cone. A base for the cone is a subset such that for each , there exists and such that . For example, if the interior of is nonempty, the set is a -compact base for the dual cone, where z is an element from the interior of .
The interior (respectively, the closure, the boundary, and the complementary) of a set A will be denoted by (respectively, , and ). We write if the sequence is convergent to x for the locally convex topology of the spaces. If there is no confusion, we omit . Furthermore, and will denote the convex, respectively, the conic hull of A. The relative interior of denoted is the interior of relative to the closed affine hull of . The quasi (respectively, the intrinsec) relative interior of denoted (respectively, ) is the set of for which (respectively, ) is a linear subspace of Z. ( respectively, ) will denote the family of all nonempty subsets of Z (respectively, the family of all nonempty convex subsets of Z). For an element , will denote a fundamental system of neighborhoods for x.
Let be a set valued map (or multifunction, also denoted by ). The domain of F (denoted ) is and the graph of F (denoted ) is the set . A multifunction () is lower semicontinuous (l.s.c.) at if for all and , , such that . The multifunction F is upper semicontinuous (u.s.c.) at if for any neighborhood , there is such that . The multifunction F is -lower semicontinuous at if for all there exists such that . The multifunction F is quasi-lower semicontinuous (respectively quasi-convex) if the level sets are closed (respectively, convex).
We say that the multifunction F is K-concave if for each and we have and . The multifunction F is K-convex if and only if F is concave. We say F is K-convexlike if is convex and F has K-closed values if is closed for each . The multifunction F is closed if the graph is closed. We note by the multifunction defined by , and by the multifunction defined by , .
For we set and . We say that A is the -Painlevé–Kuratowski limit of (and we write ) if .
Let us consider , , with nonempty values. We adopt the notations from [5]:
Let us remark that and .
The vector equilibrium problem , will be:
The vector equilibrium problem , will be:
Let , , . For different types of W, we get some vector equilibrium problems studied in the literature:
- , then is from [6];
- , then is from [9].
- , then is from [3]
- , then is from [5].
- , then is from [21] and is from [22].
3. The Existence of the Solutions Set
For the existence of the solutions for , let us denote:
Theorem 1
([23]). Let X be a Hausdorff topological space, be a nonempty compact convex set and be a multifunction with nonempty convex values. Assume that for each , is open in A. Then, there exists .
The following theorem generalizes Theorem 2.1 [5] and Theorem 13 [3], which may be reobtained as particular cases from the theorem, as is specified in Remark 1.
Theorem 2.
Let us suppose:
- (i)
- , , is convex and ;
- (ii)
- , is closed;
- (iii)
- is u.s.c. and is convex .
Furthermore, is open in A.
Then, has a solution.
Proof.
For set:
For each , (i) implies that is convex and (iii) implies that E is a closed set. For all , and following (ii) is open in A. Let , if and if . We observe that is convex for all . Furthermore, for all :
Therefore, . Since and are open in A, this implies that is open in A for all . Hypothesis (i) implies that , and thus, for all . Theorem 1 gives us such that . Since , , . Thus, , i.e, there exists such that . We conclude that has a solution. □
Remark 1.
If F is a real single valued map, , and , then is , the ε-set level, which (i) means that is quasi-convex and (ii) means that is quasi upper semicontinuous.
For the existence of the solutions for , we denote:
Theorem 3.
Let us suppose:
- (i)
- , , is convex and ;
- (ii)
- , is closed and is closed;
- (iii)
- is u.s.c. and is convex .
Furthermore, is open in A.
Then, has a solution.
Proof.
The proof is similar to Theorem 1. □
The following result gives another type of existence theorem that relaxes the requests concerning the multifunction but impose additional conditions on the cone.
Theorem 4.
Let us consider the following conditions:
- (i)
- is convex for each b;
- (ii)
- and ;
- (iii)
- ;
- (iv)
- .
If or hold, then and have a solution.
Proof.
Let us suppose that has no solution. Thus, for each , there exists such that . Thus, , which implies that . Since is convex for each b, then is also convex.
(iii) implies that there exists such that for all , . However, there exists , and follows (ii) we have , which is false. Similarly, we obtain the other conclusion. □
4. Properties for the Solutions Set
In what follows, we consider , or , where W is a convex set and F has K-convex values. For , and for , .
We denote:
If there is no confusion, we simply denote and .
The following theorem generalizes the similar result for VEP with functions from [6].
Theorem 5.
If , then:
If or , W is a convex compact set and F has K-closed values; moreover, we have
and:
Proof.
The first inclusion does hold obviously.
Let ; this implies that . Since and are convex sets, there exists such that for and . Obviously, , and thus, . We deduce that , which implies:
The converse is obvious, and thus, the last equality from the conclusion follows. For the case when W is compact, the inequality from the separation theorem is strict and the conclusion follows similar. □
We denote:
If there is no confusion, we denote simply: and .
Theorem 6.
If , then:
If , or , W is a convex compact set and F has K-closed values, we have:
Proof.
Let . For all , there exists such that . This fact implies that for all , we have .
For the converse, let us suppose that and . We find such that for and . Since will exists , , such that is false. The other inclusion does hold obviously. The case when W is compact follows similar to the previous theorem.
We denote:
If there is no confusion, we denote simply and . □
Theorem 7.
If , then:
Proof.
Let . For all , there exists , such that . Obviously, for all . Now, let us suppose that there exists and . We find such that is false.
We denote:
If there is no confusion, we denote simply and . □
Theorem 8.
If , then:
Proof.
Let . For all , there exists , such that . Thus, there exists and . We find such that , which implies . The converse follows obviously and the equality does hold. □
Connectedness for the solutions sets. In the following, we consider , , and .
Theorem 9.
Let us suppose that or , has K-convex values for each and is K-concave, for each . Then, for all , and are convex.
If and in addition we suppose that there exists such that and , then the solutions set is connected.
If W is a convex compact set and F has K-closed values, then is connected.
Proof.
Let . We have:
These relations are equivalent with
Since F is K-concave, for each we have:
Also, we have for , which means that , and thus, is convex.
In the additional hypothesis, for all , we have and . We deduce that is connected. Similarly, we get the conclusion for the case when W is compact. □
Corollary 1.
Let us suppose that , W is a convex compact set such that there exists , which satisfies , has K-convex values for each , is K-concave, for each , F has K-closed values, and for all ; then, is connected.
The following theorem is similar.
Theorem 10.
Let us suppose that or , has K-convex values for each and is K-convex, for each . Then, for all , and are convex.
If and is nonempty, then is connected. If, in addition, we consider W a convex compact set and F has K-closed values, then is connected.
Using Theorems 29 and 35, we get the following two theorems.
Theorem 11.
Let or and suppose that has K-convex values, for each and is K-convex, for each . Then, for all , are convex. If is nonempty, then is connected.
Theorem 12.
Let us suppose that or , has K-convex values, for each and is K-concave, for each . Then, for all , are convex.
If and in addition we suppose that such that and , then is connected.
For , the following theorem gives the link between the solutions set and the solutions set . Let us remark that if , the scalar problem is equivalent to the scalar problem .
Theorem 13.
Let us suppose that , and has K-convex values, for each . Then:
For the following relations, we may have or .
Continuity properties for the solutions sets.
In the following, we generalize the corresponding results from [22] given for VEP with functions. Then, we say that a set sequence is weakly Painlevé–Kuratowski convergent to W (and we write ) if
- I.
- The continuity with respect to “W”.
Theorem 14.
Let and suppose that is K-concave for each and . Then, the following multifunction:
is l.s.c. with respect to the weak Painlevé–Kuratowski convergence.
Remark 2.
does hold if .
Proof of the Theorem 14.
Let us suppose that S is not l.s.c. at . Then, there exists , , such that:
Let us denote for . We observe that implies that , which implies that is empty, which is false. Thus, for each n, .
Let . Since , there exists such that and . We have , for all , and is K-concave, which implies:
Hence , which is false. □
Similarly, we obtain the following theorems.
Theorem 15.
Let and suppose that is K-convex for each and . Then, the following multifunction:
is l.s.c. with respect to the weak Painlevé–Kuratowski convergence.
Theorem 16.
Let and suppose that is K-convex for each and . Then, the multifunction:
is l.s.c. with respect to the weak Painlevé–Kuratowski convergence.
Theorem 17.
Let and suppose that is K-concave for each and . Then, the multifunction:
is l.s.c. with respect to the weak Painlevé–Kuratowski convergence.
- II.
- The continuity with respect to .
Theorem 18.
Let us suppose that A is a convex set, Z is a normed space, is K concave, is a bounded subset of Z, and is nonempty. Then, for a constant , the multifunction:
is l.s.c. with respect to the norm topology.
Proof.
Since , we get . Let us suppose that is not l.s.c. at . Thus, and , , such that:
Since is l.s.c. at , we find such that:
Let . We prove that there exists such that , which is false.
Let such that . Since , we have . For each we have . We get . Hence, , which is false. □
In the same manner, we can prove the following theorems.
Theorem 19.
Let us suppose that A is a convex set, is K concave, is a bounded subset of Z, and . Then, the multifunction is l.s.c. with respect to the norm topology.
Theorem 20.
Let us suppose that A is a convex set, is K convex, is a bounded subset of Z, and . Then, the multifunction is l.s.c. with respect to the norm topology.
Theorem 21.
Let us suppose that A is a convex set, is K convex, is a bounded subset of Z, and . Then, the multifunction is l.s.c. with respect to the norm topology.
Remark 3.
The assumptions from the previous theorems provide the following proprieties:
- (i)
- If , then ;
- (ii)
- If , then ;
- (iii)
- If , then ;
- (iv)
- If , then .
Now, we are able to present the connectedness result for the solutions set . Let us denote and .
Theorem 22.
Let us suppose that A is a convex set, andhas K-convex values for each, is K concave for each, is bounded and . Then, and are connected sets for or .
Proof.
Following Theorem 13, we have:
Let x be an element in ; there exists such that . If we consider we have and . Thus:
Following Theorem 18, we have:
Since is convex and for each , we obtain that and are connected sets. Similarly, we obtain the connectedness of . □
Using the results from this section, the following theorems give the link between the sequence of the solutions sets for a sequence of multifunctions and the solutions set for the limit of this sequence. Let ; we say that is weakly continuous Painlevé–Kuratowski convergent to F and we write if for , is Painlevé–Kuratowski convergent to for each .
Theorem 23.
For , let and is weakly Painlevé–Kuratowski convergent to . Then, the following inclusion:
does hold for (if nonempty) and , respectively, for and .
If in addition we have , , and is K-convexlike on A, for each , is K concave and for each , is a bounded subset of Z and , then we have:
for .
Proof.
Obviously, if or and (respectively, if and ) and , then .
The hypothesis from the theorem and Proposition 3.1 [21] ensure that if and , then:
which implies that and . Thus:
For the second part of the theorem, let us remark that we also have:
and
Thus, for or , we have:
Since , the inclusions implies that . Following Theorem 22 and the inclusion:
we get:
and:
□
Remark 4.
Similarly, we obtain the previous theorem for the solutions set with respect to . Furthermore, if we take , Theorems 14 and 23 give that if is K-concave for each and for , then:
This equality also holds if or and .
Closing conditions for the solutions set.
Theorem 24.
Let and let and K such that is closed. If F is lower semicontinuous then is closed. If F is upper semicontinuous and F has compact values then is closed.
Proof.
Let and . If F is lower semicontinuous, since , we get that .
If F is upper semicontinuous, for all there exists and a subsequence of such that . Since is closed we get , which implies that . □
5. Applications for Abstract Economies
An abstract economy is a family of ordered triples where:
- I is countable set of agents;
- is a nonempty set of actions for agent i, ;
- is the constraint correspondence of agent i;
- is the preference correspondence of agent i.
An equilibrium of is a point such that , and . Let us denote for all .
Let us recall some notions which will be useful for our results.
Definition 1.
- (i)
- A multifunction has lower open section (shortly los), if for any , the set is open in Z. The multifunction F has upper open section (uos) if for all , the set is open in Z.
- (ii)
- The multifunction F is -majorized if there exists a multifunction such that has los, and , .
The following notions generalize the “open lower sections” (ols) multifunctions and are motivated by the equilibrium existence theorem for abstract economies where the preference and the constraint multifunctions are not continuous.
Definition 2
([24]). The multifunction has the “continuous inclusion property” (CIP) at x if there exist an open neighborhood of x and a nonempty multifunction such that for any and has closed graph.
Definition 3
([25]). Let ; the multifunction S is M-majorized if there exists a multifunction such that , for all , has the CIP property for each and .
We denote by the set of multifunctions such that S is M-majorized. A multifunction is M-majorized if .
The following theorem from [26] gives an existence result for the equilibrium of an abstract economy.
Theorem 25
([26]). Let be an abstract economy such that for each :
- (i)
- is a nonempty compact convex metrizable subset of Z;
- (ii)
- has nonempty convex values;
- (iii)
- The correspondence is upper semicontinuous;
- (iv)
- has open lower section;
- (v)
- has open lower section;
- (vi)
- for all .
Then, has an equilibrium.
This theorem can be obtained from the Theorem 2 by taking the following particular sets and multifunctions: , , , if and if . The sets , and . Thus, (ii), (iii), and (iv) are equivalent with (iii) from Theorem 2; (v) is equivalent with (ii); and the condition (vi) is equivalent with (i) from the same theorem. Furthermore, we remark that the hypothesis “metrizable” can be omitted.
Theorem 25 generalizes the following result from [27], which in turn was generalized in [24].
Theorem 26
([27]). Let be an abstract economy such that for each :
- (i)
- is a nonempty compact convex subset of ;
- (ii)
- has nonempty convex compact values;
- (iii)
- is a continuous correspondence;
- (iv)
- has an open graph;
- (v)
- for all .
Then, has an equilibrium.
The following theorem gives a generalization for the case of functions with the CIP property.
Theorem 27
([24]). Let be an abstract economy such that for each :
- (i)
- is a nonempty compact convex metrizable subset of a Hausdorff locally convex space;
- (ii)
- has nonempty convex values;
- (iii)
- The correspondence is upper semicontinuous;
- (iv)
- ψ has CIP at each with ;
- (v)
- for all .
Then, has an equilibrium.
This theorem is based on the following fixed-point theorem.
Theorem 28
([24]). Let X be a nonempty compact convex metrizable subset of a Hausdorff locally convex space and be a correspondence which is nonempty convex valued and has the CIP property. Then, there exists a point such that .
Theorem 27 suggests a generalization for the existence theorem for the (VEPs) with multifunctions with the CIP property. The result concerning the existence of equilibrium for the abstract economies may be obtained as a particular case.
Lemma 1.
Let , be a closed set and for each , and G has the CIP property at . Then, the multifunction , for and if has the CIP property at .
Theorem 29.
Let X be a Hausdorff topological space and be a nonempty compact convex set, and we suppose:
- (i)
- has CIP at each with , where is given by ;
- (ii)
- , for all ;
- (iii)
- is u.s.c. , is convex .
Then, has a solution.
Proof.
Let and be a multifunction given by if and for . We observe that E is closed since is u.s.c. and for each , is convex, and lemma implies that Q has CIP. Following Theorem 35 we get such that . Since for all we get , and thus, . The conclusion follows now obviously. □
Let us remark that if , , , if and if , then and this theorem becomes Theorem 27 of Yannelis and He for abstract economies.
Furthermore, let us remark that and from Theorem 2; the assumptions of Theorem 2 provide that has los, and thus, and have CIP.
The existence Theorem 29 may be generalized for -majorized multifunctions as follows.
Theorem 30.
Let X be a Hausdorff topological space, be a nonempty compact convex set and we suppose:
- (i)
- , is -majorized and ;
- (ii)
- is u.s.c.; , is convex; .
Then, has a solution.
Proof.
Let us denote by the multifunction which has the CIP property for each , and . The proof is similar to that of Theorem 29 by replacing with . □
For the case of a noncompact set of actions, we have from [28] the following theorem for the existence of an equilibrium for an abstract economy.
Theorem 31
([28]). Let be an abstract economy such that for each :
- (i)
- is a nonempty convex metrizable subset of Z;
- (ii)
- is a nonempty convex set for all ;
- (iii)
- The correspondence is upper semicontinuous and is compact for all ;
- (iv)
- has an open lower section;
- (v)
- has an open lower section;
- (vi)
- for all .
- (vii)
- There exists , nonempty, compact, convex sets such that:, where , is compact and convex;, , ;, , there exists .
Then, has an equilibrium.
In what follows, we present a similar result for the case of correspondence with the CIP property which extends to noncompact case Theorem 2 from [24].
Theorem 32.
Let be an abstract economy such that for each
- (i)
- is a nonempty convex metrizable subset of Z;
- (ii)
- is a nonempty convex set for all ;
- (iii)
- The correspondence is upper semicontinuous and is compact for all ;
- (iv)
- has CIP;
- (v)
- for all .
- (vi)
- There exists , nonempty, compact, convex sets such that:, where , is compact and convex;, , ;, , there exists .
Then, has an equilibrium.
Proof.
Let and for each , , , . Since has closed graph, are compact sets, then has closed graph, compact values, and thus, is u.s.c.
We remark that , and , otherwise. Let . We remark that has a closed graphic, which implies that has the CIP property.
The abstract economy satisfies the conditions from Theorem 2 [24], and thus, there exists and which yields , and thus, , . We conclude , , and thus, is an equilibrium for . □
In what follows, we present some results concerning the existence for the Walrasian equilibrium in a vector exchange economy.
A vector exchange economy, is a family such that I is a finite set of agents and for every :
- is the consumption set of agent i and ;
- An element will be called an allocation for agent il;
- is the preference correspondence of agent i;
- is the initial endowment of agent i.
We suppose that has a compact base .
The budget set of agent i is for . For , , , let , the set of allocations in the budget set of agent i at price that he prefers to x.
A free disposal Walrasian equilibrium for the exchange economy is such that:
- For each , and ;
- .
Theorem 33.
Let be an exchange economy satisfying the following assumptions for each :
- (i)
- is a nonempty compact convex subset of ;
- (ii)
- For all , and ψ is -majorized at .
Then, has a free disposal Walrasian equilibrium.
Proof.
Let and for each , , , let:
and for :
Since , are nonempty convex valued, u.s.c. on . For , and since is -majorized so is .
For :
For , let which is a constant, and thus, a continuous multifunction. There exists such that for each , which implies that has CIP, and thus, is -majorized.
For the abstract economy , we may apply Theorem 30 and we get such that and for each . Thus, for , .
Since , for each , we have:
and finally, . Therefore, is a free disposal Walrasian equilibrium. □
In what follows, we present a result concerning the existence of a nonfree disposal Walrasian equilibrium.
Let us denote for , and .
A nonfree disposal Walrasian equilibrium is an element such that:
- For each , , ;
- .
Theorem 34.
Let be an exchange economy satisfying the following assumptions for each :
- (i)
- is a nonempty compact convex subset of ;
- (ii)
- For each we have and ψ is -majorized at .
- (iii)
- implies that .
Then, has a nonfree disposal Walrasian. equilibrium.
Proof.
Similar to the first part of the proof in the case “free disposal”, we get such that:
- ;
- , .
From 1, we obtain . Let and we suppose that . From 2, for , we have for each . Let ; we get , which yields and since , we conclude that . Using 1, we obtain that , and thus, for each . However, since , we find such that , which is false. Thus, and , . Note that implies that . Since and , . If there exists i such that , one can find a point such that and are sufficiently close, and . Thus, , which contradicts 2. Therefore, for each , and summing up over all i yields . Finally, we conclude is a nonfree disposal Walrasian equilibrium. □
Let us remark that if , we get Theorems 3 and 4 from [24].
Finally, we remark that the notion of Walrasian equilibrium was extended for the case of a vector exchange economy with an infinite number of agents and commodities, both for the additive case and for the nonadditive one. For results concerning the existence of the Walrasian equilibrium and the core-Walras equivalence with linear and nonlinear prices, the reader may consult [29,30,31].
6. Applications of VEPs to the Vector Optimization Problems
In this section, we intend to find a vector optimization problem such that the solutions of the vector equilibrium problem are solutions for this vector optimization problem. Let such that and consider the problem :
Let us recall the definition for the principal efficient points and the domination property which will be used in the following. For more details concerning this subject, see [32].
Let , , . The following sets:
will be the K-infimal, the K-approximative infimal, and the K- minimal points sets of A, respectively. Similarly, we may consider the K-supremal, K-approximative supremal, and the K- maximal points sets of A denoted , , and .
We remark that if , the K-efficient points becomes the efficient points sets given in [33]. We will denoted these points by , , and , respectively, if . If the interior of the cone is nonempty and , the K-efficient points are the weak efficiencies denoted , i.e., , , , and if , respectively.
In what follows, the efficient points are considered by respect to the cone which ensure that the following domination property does holds.
Theorem 35.
Let , and , . Let us denote and let us suppose that . Then, and the following domination properties hold:
Obviously, if x is a solution for then x is a solution for the optimization problem :
The dual problem is :
where .
We say that is stable if .
Let us consider now the perturbed problem:
where if and else. We have . The dual problem is:
Let us denote .
Let us consider the vector equilibrium problem .
We denote and and the problem becomes:
We remark that if x is a solution for , then x is a solution for the problems:
for all . We consider the dual problem for :
where .
The element x is a solution for if there exists such that . We denote the set of these solutions by . Let us remark that if , then and thus , that is:
Theorem 36.
If is stable, then there exists such that for all we have:
Proof.
Let . Thus, . If is stable, then . Since , then for all , . Furthermore, following the domination property, there exists such that and there exists such that . We remark that for all , .
since . The conclusion follows obviously. □
Let us consider the vector equilibrium problem :
Moreover, let us consider the problem :
This relation is equivalent with the following conditions: and . We remark that .
We consider the dual problem:
.
An element x is a solution for if there exists such that . We denote the set of these solutions by . Let us remark that if then:
so , i.e., x is a solution for .
Theorem 37.
If is stable, then there exists such that:
Proof.
If , then there exists (since is stable) and such that . If we suppose we have , , which is false. Since , we get the conclusion. □
7. Conclusions
We present a unified approach for the vector equilibrium problems in the case of the ordering cone with nonempty quasi-interior or relative interior (possible with empty interior). In this case, some results concerning the existence of the solutions for a vector equilibrium problem are given and are applied to obtain conditions of existence for equilibrium in an abstract economy and for Walrasian equilibrium in a vector exchange economy. Several properties concerning the continuity and the connectedness for the solutions set are obtained. Some applications of this study in other domains, such as vector optimization problems and vector duality, are also given. Optimality results, linear and nonlinear scalarization characterization, as well as algorithm methods remain topics for future research.
Funding
This research received no external funding.
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The author declares no conflicts of interest.
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