Structure of Pareto Solutions of Generalized Polyhedral-Valued Vector Optimization Problems in Banach Spaces
Abstract
In general Banach spaces, we consider a vector optimization problem (SVOP) in which the objective is a set-valued mapping whose graph is the union of finitely many polyhedra or the union of finitely many generalized polyhedra. Dropping the compactness assumption, we establish some results on structure of the weak Pareto solution set, Pareto solution set, weak Pareto optimal value set, and Pareto optimal value set of (SVOP) and on connectedness of Pareto solution set and Pareto optimal value set of (SVOP). In particular, we improved and generalize, Arrow, Barankin, and Blackwell’s classical results in Euclidean spaces and Zheng and Yang’s results in general Banach spaces.
1. Introduction
Theorem Z 1 (see [13].)Let X and Y be Banach spaces, Γ the union of finitely many polyhedra of X, and F : Γ⇉Y a multifunction whose graph Gr(F) is the union of finitely many convex polyhedra of X × Y. Suppose that the ordering cone C ⊂ Y is closed, convex, pointed, and has a weakly compact base. If F(Γ) + C is convex, then the Pareto solution set S and the Pareto optimal value set V of (SVOP) are the unions of finitely many polyhedra of X and Y, respectively.
Theorem Z 2 (see [13].)Let X and Y be Banach spaces, Γ the union of finitely many polyhedra of X, and F : Γ⇉Y a multifunction whose graph Gr(F) is the union of finitely many convex polyhedra of X × Y. Suppose that the ordering cone C ⊂ Y is closed, convex, and pointed. If the interior int (C) of C is nonempty, then the weak Pareto solution set Sw and the Pareto optimal value set Vw of (SVOP) are the unions of finitely many polyhedra of X and Y, respectively.
A polyhedron is defined [12–15] as the intersection of finitely many closed half-spaces. Polyhedra exist in many contexts such as linear and quadratic programs, game theory, statistical decision theory, and mathematical biology as well. For more details on the theory of polyhedra, we refer the reader to [12, 14] and the references therein. A generalized polyhedron (G-polyhedron or semiclosed polyhedron) in [13, 15] is defined as the intersection of finitely many closed and/or open half-spaces. A G-polyhedron can be regarded as an extension of a polyhedron. It has nice properties analogous to a polyhedron; see [13, 15] and the references therein. It is necessarily noted that the graph Gr(F) of a multifunction F is closed when it is the union of finitely many polyhedra, while the graph Gr(F) is not necessarily closed when it is the union of finitely many G-polyhedra. In the case that F is single valued, the former implies that F is a piecewise continuous linear function but the latter does not imply that F is necessarily a piecewise continuous linear function. G-polyhedra are important in piecewise linear programs as well as polyhedra. For example, Fang et al. [15] proved that (weak) Pareto solution set of a piecewise linear multicriteria program with possible discontinuity is a union of finitely many G-polyhedra.
One of our main aims in this work is to investigate the structure of the (weak) Pareto solution set and the (weak) Pareto optimal set of (SVOP) whose graph Gr(F) is the union of finitely many G-polyhedra.
Another topic in linear optimization problems is to study the connectedness of (weak) Pareto solution sets. Many authors researched this issue; see [2, 11, 13, 16–20] and the references therein. Arrow et al. [2] proved that the (weak) Pareto solution set (Sw) S and the (weak) Pareto optimal value set (Vw) V of (LMOP) are pathwise connected, respectively, when X = Rm, Y = Rn, and . Recently, Zheng and Yang [11] proved that the weak Pareto set Sw and the weak Pareto optimal value set Vw of (LMOP) are pathwise connected, respectively, when the ordering cone C has a nonempty interior and the mapping T(·) + b is C-convex. Zheng [13] proved that the Pareto set S and the Pareto optimal value set V of (SVOP) are pathwise connected, respectively, when the ordering cone C is a pointed, closed, convex cone with a weakly compact base and F is a C-convex multifunction whose graph is the union of finitely many convex polyhedra.
The other of our main aims is to study the connectedness of the Pareto set S and the Pareto optimal value set V of (SVOP) without the assumption of the ordering cone C having a weakly compact base but with that of the cone C being polyhedral.
2. Preliminaries
In this paper, we will consider set-valued vector optimization problem (SVOP). In the remainder of the paper, we always assume that the graph Gr(F) of the objective mapping F is the union of finitely many G-polyhedra or polyhedra of X × Y.
Next, we provide some properties on the union of finitely many G-polyhedra in general Banach spaces, which generalize the corresponding results in [13].
Lemma 1. A subset P of X × Y is the union of finitely many G-polyhedra (resp., polyhedra) if and only if there exist closed subspaces X1 and X2 of X, closed subspaces Y1 and Y2 of Y, and the union of finitely many G-polyhedra (resp., polyhedron) P2 of X2 × Y2 such that
The proof of Lemma 1 is similar to that for polyhedron or G-polyhedron in [13] and is omitted.
If Y = {0} in Lemma 1, we have the following corollary.
Corollary 2. A subset P of X is the union of finitely many G-polyhedra (resp., polyhedra) if and only if there exist closed subspaces X1 and X2 of X and the union of finitely many G-polyhedra (resp., polyhedra) P2 of X2 such that
Lemma 3 (see [13].)Let P be a G-polyhedron (resp., polyhedron) of X × Y. Then PX is the union of finitely many G-polyhedra (resp., polyhedra) of X.
Corollary 4. Let G : X⇉Y be a multifunction whose graph is a convex G-polyhedron (resp., polyhedra) of X × Y. Let P and Q be convex G-polyhedra (resp., polyhedra) of X and Y, respectively. Then G(P) and G−1(Q) are the union of finitely many G-polyhedra (resp., polyhedra) of Y and X, respectively.
Lemma 5. Let A be a subset of Y with a closed convex cone C. Then
Proof. Let a ∈ A. Then, one can easily verify that
Lemma 6. Let A be a subset of Banach space Y with the ordering cone C. Then,
Proof. It is obvious that A∩WE(cl A, C)⊆WE(A, C). We only need to show that WE(A, C)⊆A∩WE(cl A, C). Let x ∈ WE(A, C). Then (x − int (C))∩A = ∅; that is
We will also use the following lemma [13, Proposition 2.1] in the sequel.
Lemma 7. Let Y1 and Y2 be closed subspaces of a Banach space Y such that
- (i)
Y1 + Pos(A2, C2) ⊂ Pos(A, C) if Y1∩C = {0}.
- (ii)
E (A, C) = ∅ if Y1∩C ≠ {0}.
- (iii)
E (A, C) = Y1 + E (A2, C2) if Y1∩C = {0}.
- (iv)
WE(A, C) = ∅ if Y1∩int (C) ≠ ∅.
- (v)
WE(A, C) = Y1 + WE(A2, C2) if int (C) ≠ ∅ and Y1∩int (C) = ∅.
Proof. For the proofs of (ii)–(v), see [13, Proposition 2.1]. We only need to show (i).
For (i), we assume that Y1∩C = {0}. Let y1 ∈ Y1 and y2 ∈ Pos(A2, C2). Then there exists such that
3. The Structure of Solution Sets and Optimal Value Sets
In this section, our aim is to investigate the structure of the (weak) Pareto solution set and the (weak) Pareto optimal set of (SVOP) whose graph Gr(F) is the union of finitely many G-polyhedra. Throughout the remainder of this paper, we assume that Sw, S, and Sp are nonempty.
The following lemma is also useful in our later analysis and can be found in [13].
Lemma 9. Let Y be a Banach space with the ordering cone C which has a weakly compact base. Let A be the union of finitely many polyhedra of Y. Suppose that A + C is convex and that E(A, C) is nonempty. Then E(A, C) is the union of finitely many convex polyhedra. More precisely, there exist such that
We have the following proposition.
Proposition 10. Let Y be a Banach space with the ordering cone C and let , Ai ⊂ Y. Set
Proof. Let x ∈ E(A, C). Then, there exists an integer i0 ∈ [1 − k] such that . For each j with x ∈ Aj + C, noting that
Conversely, let . Then, x ∈ Ei for some integer i in [1 − k]. Let z ∈ A∩(x − C). We only need to show that z = x. By the definition of A, there exists an integer j in [1 − k] such that z ∈ Aj. Noting that Ei ⊂ E(Ai, C), one has z = x if j = i. Now suppose that j ≠ i. Then, by the definition of Ei, it follows that x ∉ (Aj + C)∖(E(Ai, C)∩E(Aj, C)). Since x ∈ z + C ⊂ Aj + C, one has x ∈ E(Aj, C). It follows that x = z. The proof is completed.
Lemma 11. Let Y be a Banach space, let A be the union of finitely many G-polyhedra of Y, and let Λ be a subset of Y*. Then, is the union of finitely many G-polyhedra of Y and, more precisely, there exists a finite subset Λ0 of Λ such that
Proof. By the assumptions, there exist finitely many G-polyhedra P1, …, Pn such that . Then for each i ∈ [1 − n], let
Theorem 12. Let X and Y be Banach spaces, Γ a G-polyhedron, and Gr(F) the union of finitely many G-polyhedra of X × Y and let the ordering cone C have nonempty interior. Suppose that F(Γ) + C is convex. Then, Sw and Vw are the union of finitely many G-polyhedra of X and Y, respectively. More precisely, there exist with for some integer q) such that
Proof. Since F(Γ) + C is convex, by (28), we have
By Lemma 3, dropping convexity of F(Γ) + C but requiring that the ordering cone C is polyhedral, we generalize Theorem 3.3 in [13] to the union of finitely many G-polyhedra setting.
Theorem 13. Let X and Y be Banach spaces. Let the ordering cone C be polyhedral and have nonempty interior. Suppose that Γ and Gr(F) are the unions of finitely many G-polyhedra of X and X × Y, respectively. Then, Sw and Vw are the unions of finitely many G-polyhedra of X and Y, respectively.
Proof. Suppose that Gr(F) is the union of finitely many G-polyhedra of X × Y. Since F(Γ) = (Gr(F)∩(Γ × Y)) Y, by Lemma 3, one has that cl (F(Γ)) is the union of finitely many polyhedra of Y. It is similar to the proof of Theorem 3.3 in [13]; we can show that WE(cl (F(Γ))) is the union of finitely many polyhedra of Y. By Lemma 6, one has
Dropping the assumption of the ordering cone C having a weakly compact base but inquiring C being a polyhedral cone, we have the following result analogous to that of Lemma 11.
Lemma 14. Let Y be a Banach space, let the ordering cone C be pointed and polyhedral, and let A be the union of finitely many polyhedra of Y. Suppose that A + C is convex and that E (A, C) is nonempty. Then E (A, C) is the union of finitely many polyhedra of Y. More precisely, there exist such that
Proof. By Corollary 2 there exist a closed subspace Y1, a finite dimensional subspace Y2 of Y, and the union A2 of finitely many polyhedra of Y2 such that
Let x2 ∈ C2∩−C2. Then there exist such that . Since C is a convex cone, it follows that
We have shown that C2 is a closed, convex, and pointed cone of Y2. Noting that Y2 is finite dimensional, it follows that C2 has a compact base. Applying Lemma 9, it follows that there exist in such that
For each , i ∈ [1 − p], we define c* by
Theorem 15. Let X and Y be Banach spaces and let the ordering cone C be pointed and polyhedral. Suppose that Γ and Gr(F) are the unions of finitely many polyhedra of X and X × Y, respectively, and that F(Γ) + C is convex. Then, S and V are the union of finitely many convex polyhedra of X and Y, respectively, and more precisely, there exist for some integer q) such that
Proof. Suppose that Γ and Gr(F) are the unions of finitely many polyhedra of X and X × Y, respectively. Noting that
Without the convexity of A + C in Lemma 14, we have the following lemma which will also be applied to consider (SVOP).
Lemma 16. Let Y be a Banach space, let the ordering cone C be pointed and polyhedral, and let A be the union of finitely many G-polyhedra of Y. Suppose that E(A, C) is nonempty. Then E(A, C) is the union of finitely many G-polyhedra of Y.
Proof. By Corollary 2 there exist a closed subspace Y1, a finite dimensional subspace Y2 of Y, and the union A2 of finitely many G-polyhedra of Y2, such that (45) and (46) hold.
Let C be the projection of C on Y2. We first show that A2 + C2 is the union of finitely many G-polyhedra of Y2. Indeed, since C is a polyhedron on Y1 × Y2, Lemma 3 implies that C2 is the union of finitely many polyhedra of Y2. We can assume
Theorem 17. Let X and Y be Banach spaces and let the ordering cone C be pointed and polyhedral. Suppose that Γ and Gr(F) are the unions of finitely many G-polyhedra of X and X × Y, respectively. Then, S and V are the union of finitely many convex G-polyhedra of X and Y, respectively.
Proof. Suppose that Γ and Gr(F) are the unions of finitely many G-polyhedra of X and X × Y, respectively. Noting that
4. Connectedness of Pareto Solution Sets and Pareto Optimal Value Sets
For various applications, it is of special interest to move continuously from an optimal solution to another along optimal alternatives. In order to do this movement, one needs that the optimal solution set is pathwise connected or at least connected. Many authors studied connectedness of optimal solution sets in multiobjective optimization under some restrictive assumptions (cf. [2, 16–20, 22, 23]).
In this section, dropping the assumption that the ordering cone C has a weakly compact base but requiring that C is pointed and polyhedral, under the C-convexity assumption on the set-valued objective mapping F, we will establish connectedness of Pareto solution set S and Pareto optimal value set V of (SVOP).
Let S′ and V′ denote the set of all Pareto solutions of (SVOP′) and the set of all Pareto optimal values of (SVOP′), respectively.
Lemma 18. Let Γ be a polyhedron of X, let C be a closed, convex, pointed, and polyhedral cone of Y, and let Gr F(Γ) be the union of finitely many polyhedra of X × Y. Suppose that F is C-convex. Then S′ = S and V′ = V.
Proof. By Corollary 4, F(Γ) is the union of finitely many polyhedra of Y. From Corollary 2, there exist a closed subspace Y1, a finite dimensional subspace of Y, and the union of finitely many polyhedra F(Γ) 2 of Y2 such that
For our main result, we need the following lemma; see [13, Lemma 4.2].
Lemma 19. Let Y be a Banach space and A a polyhedron of Y. Let Λ be a convex subset of Y*. Then is pathwise connected.
Theorem 20. Let X and Y be Banach spaces, Γ a polyhedron of X, C a closed, convex, pointed, and polyhedral cone of Y, and Gr F(Γ) the union of finitely many polyhedra of X × Y. Suppose that the set-valued objective function F is C-convex. Then, the Pareto solution set S and the Pareto optimal value set V of (SVOP) are pathwise connected.
Proof. Let F′ : X⇉Y be defined by (88). Then, Gr(F′) is a polyhedron of X × Y. By (27), one has . It follows that
Corollary 21. Let Y be a Banach space with the pointed ordering C being closed and polyhedral and let A be the union of finitely many convex polyhedra of Y. Suppose that A + C is convex. Then, E (A, C) is pathwise connected.
Remark 22. In [13, Theorem 4.1 and Corollary 4.1], under the assumptions that the ordering cone C has a weakly compact base and the Banach space Y is finite dimensional, respectively, the corresponding results of connectedness of (SVOP) were established. In our results, Theorem 20 and Corollary 21, we drop these two assumptions, respectively.
Acknowledgments
This research was supported by the National Natural Science Foundation of China (Grant nos. 11261067, 11061039, XT412003) and IRTSTYN.