Abstract
In this paper, by using the new concept of -quasiinvexity associated with interval-valued path-independent curvilinear integral functionals, we establish some duality results for a new class of multiobjective variational control problems with interval-valued components. More concretely, we formulate and prove weak, strong, and converse duality theorems under -quasiinvexity hypotheses for the considered class of optimization problems.
1. Introduction
Duality theory represents an important part in the study of mathematical programming problems. Due to its effectiveness, it has been extended and generalized to new classes of optimization problems. Here, we mention the classical research papers of Hanson [1], Mond and Hanson [2], Mond and Smart [3], Aggarwal et al. [4]. Further, the multiobjective optimization problems with mixed constraints have been studied by many researchers, with remarkable results. In this regard, Mishra and Mukherjee [5] considered a multiobjective control problem and established Mond–Weir duality results under V-invexity assumptions and their generalizations. Ahmad and Sharma [6] obtained sufficient conditions of optimality and formulated Wolfe and Mond–Weir duals for a class of multiobjective variational control problems. Further, Antczak [7] established Mond–Weir and Wolfe type duals for multiobjective variational control problems under -invexity. Recently, Mititelu and Treanţă [8] formulated and proved efficiency conditions in vector control problems governed by multiple integrals. Following this work, Treanţă [9] investigated the necessary and sufficient efficiency conditions in uncertain variational control problems. For more and various contributions and approaches to multiobjective variational control problems, the reader is directed to Zhian and Qingkai [10], Mititelu [11], Treanţă and Udrişte [12], Zalmai [13], Hachimi and Aghezzaf [14], Treanţă [15,16], Treanţă and Mititelu [17], Chen [18], Kim and Kim [19], Gulati et al. [20], Nahak and Nanda [21], Arana-Jiménez et al. [22], Khazafi et al. [23], Zhang et al. [24], Treanţă and Arana-Jiménez [25].
The present paper, motivated by the aforementioned research works and practical reasons, establishes weak, strong, and converse Mond–Weir duality results for a new class of multiobjective optimization problems with interval-valued components governed by path-independent curvilinear integral functionals. The main novelty elements of this work are represented by the necessary LU-efficiency conditions derived using some recent research papers of the author; the notion of -quasiinvexity associated with interval-valued path-independent curvilinear integral functionals; and the presence of a partition associated with a set of indices used for the inequality-type constraints.
In the following, we organize the paper as follows: in Section 2, we present notations, preliminary mathematical tools, and the problem formulation we are going to study; in Section 3, we establish the main results of this paper—namely, weak, strong, and converse Mond–Weir dualities are formulated and proved for the new class of multiobjective optimization problems; finally, in Section 4, we conclude the paper.
2. Preliminaries
Throughout this paper, we consider as a compact domain in the Euclidean real space and denote by , and , the points in and , respectively. Further, consider that is a piecewise smooth curve joining the different points , in . Now, we define the following continuously differentiable functions
and we accept that the following Lagrange densities
satisfy the closeness conditions (complete integrability conditions)
where is the total derivative operator. Denote by the space of all piecewise smooth state functions , and by the space of all piecewise continuous control functions , endowed with the induced norm. Additionally, in this paper, for any two p-tuples in , we use the following partial ordering
Let be the set of all closed and bounded real intervals. Denote by a closed and bounded real interval, where and indicate the lower and upper bounds of , respectively. Throughout this paper, the interval operations are performed as follows:
Definition 1
(Treanţă [9]). Let . We write if and only if and . Further, we write if and only if and .
Definition 2
(Treanţă [9]). A function , defined by
where and are real-valued functions and satisfy the condition is said to be an interval-valued function.
For , we consider the following vector continuously differentiable functions with interval-valued components (closed 1-forms)
which, for , generate the interval-valued path-independent curvilinear integral functionals (see Einstein summation):
Further, in accordance with Treanţă and Mititelu [17,26], following Treanţă [9], in order to formulate and prove the main results included in this paper, we introduce the concept of -quasiinvexity associated with an interval-valued path-independent curvilinear integral functional. For , we consider an interval-valued continuously differentiable function:
where and for and , we introduce the following interval-valued path-independent curvilinear integral functional:
Furthermore, let be a real number, be a positive functional, and be a real-valued function on .
Definition 3.
of -class with , and
of -class with , such that for every ,
or, equivalently,
then, is said to be -quasiinvex at with respect to and .
of -class with , and
of -class with , such that for every ,
or, equivalently,
then, is said to be strictly -quasiinvex at with respect to and .
- (i)
- If there exist
- (ii)
- If there exist
Next, for , we consider the vector continuously differentiable function with interval-valued components
Definition 4.
The vector path-independent curvilinear integral functional with interval-valued components
is said to be -quasiinvex (strictly -quasiinvex) at with respect to and , if each interval-valued component of the vector is -quasiinvex (strictly -quasiinvex) at with respect to and .
Now, we are in a position to formulate the following new class of multiobjective fractional variational control problems with interval-valued components, called the Primal Problem (in short, PP):
subject to
where, for , we have denoted
and it is assumed that .
The set of all feasible solutions in is defined by
Definition 5.
A feasible solution in is called an LU-efficient solution if there is no other such that .
Taking into account Treanţă [9], Mititelu and Treanţă [8], and Treanţă and Mititelu [26], under constraint qualification assumptions, if is an LU-efficient solution of the variational control problem , then there exist , and , with piecewise smooth functions, satisfying the following conditions (see Einstein summation)
for all , except at discontinuities.
Definition 6.
The feasible solution is a normal LU-efficient solution for if the necessary LU-efficiency conditions formulated in – hold for and .
3. Mond–Weir Duality
Let be a partition of the set , where . For and , with the same notations as in Section 2, we associate to the next multiobjective fractional variational control problem with interval-valued components of the vector, called the Dual Problem (in short DP):
subject to
In this section, we establish that the multiobjective optimization problems with interval-valued components of the ratio vector, and , are a Mond–Weir (see [27]) dual pair under -quasiinvexity hypotheses. Further, assume that is the set of all feasible solutions associated with .
Now, in accordance with Treanţă and Mititelu [17], we formulate and prove a first duality result.
Theorem 1
(Weak Duality). Let be a feasible solution of the multiobjective variational control problem with interval-valued components and be a feasible solution of the multiobjective variational control problem with interval-valued components . Further, assume that the following conditions are fulfilled:
(a) Each functional
is -quasiinvex at with respect to and , or, equivalently, each interval-valued path-independent curvilinear integral functional
is -quasiinvex at with respect to and .
(b) For , each functional
is -quasiinvex at with respect to and .
(c) At least one of the functionals given in is strictly -quasiinvex at with respect to and , where or .
(d) .
Then, the infimum of is greater than or equal to the supremum of .
Proof.
Denote by and the value of problem at and the value of problem at , respectively. Contrary to the result, suppose that . Further, for and , consider the following nonempty set:
Using for and , we get
Multiplying by , and making summation over , we find
For , the inequality holds and, according to and making summation over , it follows that
Making the sum + side by side and taking into account , we have
The previous inequality implies and, as a consequence, we can rewrite it as
Now, considering constraints and of , we obtain
By direct computation, we get
but, applying the condition and the result “A total divergence is equal to a total derivative.”, we get
It results that
Consequently,
and applying the hypothesis and , we get a contradiction. Therefore, the infimum of is greater than or equal to the supremum of . □
The next, according to Treanţă and Mititelu [17], establishes a strong duality between the two considered multiobjective optimization problems with interval-valued components.
Theorem 2
(Strong Duality). Under the same -quasiinvexity hypotheses formulated in Theorem 1, if is a normal LU-efficient solution of the Primal Problem , then there exist and such that is an LU-efficient solution of the Dual Problem and the corresponding objective values are equal.
Proof.
Considering that is a normal LU-efficient solution in , the necessary LU-efficiency conditions, formulated in (4)–(6), involve that there exist and such that is a feasible solution for . Since
and (by )
the dual objective has the same value as the primal objective and, by Theorem 1, is an LU-efficient solution of . □
The following theorem formulates a converse duality result associated with the considered multiobjective optimization problems with interval-valued components.
Theorem 3
(Converse Duality). Let be an LU-efficient solution of . Further, assume that the following conditions are fulfilled:
(a) is a normal LU-efficient solution of ;
(b) the hypotheses of Theorem 1 are satisfied for .
Then, and the corresponding objective values are equal.
Proof.
Contrary to the result, let us suppose that is not a normal LU-efficient solution of , that is, . As is a normal LU-efficient solution of , according to Treanţă [9] and Mititelu and Treanţă [8], there exist and , satisfying (4)–(6) and Definition 6. It follows
and, therefore, . Moreover, we have . In accordance to Theorem 1, we have or . This contradicts the maximal LU-efficiency of . Hence, and the corresponding objective values are equal. □
Remark 1.
If, for and , each interval-valued path-independent curvilinear integral functional is equal to 1, then we obtain primal and dual multiobjective nonfractional variational control problems with interval-valued components and the corresponding Mond–Weir duality results.
4. Conclusions
In this paper, we have studied a dual pair of multiobjective variational control problems with interval-valued components. More precisely, based on the new notion of -quasiinvexity associated with interval-valued path-independent curvilinear integral functionals, we have established weak, strong, and converse duality results for the considered class of optimization problems. Moreover, by considering the physical meaning of the curvilinear integrals (mechanical work) and the importance of Interval Analysis in the applied sciences and engineering, this research work can be seen as a starting point for further investigations.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
The author would like to thank anonymous referees for their careful reading and constructive suggestions that improve substantially the revision of the manuscript.
Conflicts of Interest
The author declares no conflict of interest.
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