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On the convergence of relative Pareto efficient sets and the lower semicontinuity of relative Pareto efficient multifunctions

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Noname manuscript No.
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On the convergence of relative Pareto efficient sets
and the lower semicontinuity of relative Pareto
efficient multifunctions
N. V. Tuyen

Received: date / Accepted: date

Abstract T. Q. Bao and B. S. Mordukhovich [2,3] have introduced some new
concepts of extended Pareto efficient by using some kinds of relative interior
replace for interior of ordering cones. The aim of this paper is to present
new results on the convergence of relative Pareto efficient sets and the lower
semicontinuity of relative Pareto efficient multifunctions under perturbations.
Our results extend the results of Bednarczuk [4], Chuong and Yen [12], and
Luc [18]. Examples are given to illustrate the results obtained.
Keywords Stability · Relative Pareto efficient · Kuratowski-Painlev´e
convergence · Relative containment property · Lower semicontinuity.
Mathematics Subject Classification (2000) 49K40 · 90C29 · 90C31.

1 Introduction
To widen the applicability of the traditional solution concepts of scalar optimization and of vector optimization, Kruger and Mordukhovich (see [23, Subsection 5.5.18] and the related references) have introduced the notion of the
locally (f ; Θ)-optimal solution, where f is a single-valued mapping between
Banach spaces and Θ is a set (may not be convex and/or conic) containing the
zero vector. In [29], Tuyen and Yen gave a detailed analysis of the notion of
generalized order optimality and compared it with the traditional notions of
This work is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under Grant No. 101.01-2014.39. A part of this work was done when
the author was working at the Vietnam Institute for Advanced Study in Mathematics (VIASM). He would like to thank the VIASM for providing a fruitful research environment and
working condition.
N. V. Tuyen


Department of Mathematics, Hanoi Pedagogical Institute No. 2, Xuan Hoa, Phuc Yen, Vinh
Phuc, Vietnam.
E-mail:


2

N. V. Tuyen

Pareto efficiency, weakly Pareto efficiency and Slater efficiency. Recently, Bao
and Mordukhovich have introduced the concept of relative Pareto efficient to
extended the concept of weak Pareto efficient (see [2, 3]) by using some kinds
of relative interior replace for interior of ordering cones. This notions is weaker
than the classical minimality with respect to a cone and is actually a generalization of weak minimality, which can be taken into consideration only if the
interior of the ordering cone is nonempty. Recall that the relative interior of
a convex set C in a Banach space Z, denoted ri C, is the interior of C relative to the closed affine hull of C. It is well known that ri C is nonempty
for every nonempty convex set C in finite dimensions. However, it is not the
case in many infinite-dimensional settings. To improve this situation, Borwein
and Lewis [10] have introduced the notion of quasi relative interior of C ⊂ Z,
denoted qri C, which is the set of all z ∈ C such that the closed conic hull of
(C − z) is a linear subspace of Z. In [10, Theorem 2.19], the authors proved
that qri C is nonempty for any nonempty closed and convex set C in a separable Banach space. Further properties of quasi relative interiors of convex sets
in Banach spaces can be found in [10, 11] and the references therein.
Stability analysis is one of the most important and interesting subjects
and its role has been widely recognized in the theory of optimization. In the
literature, two classical approaches can be found to study stability in vector
optimization. One is to investigate the set-convergence of efficient sets of perturbed sets converging to a given set. Another is to study continuity properties
of the optimal multifunctions. For instance, the lower (upper) semicontinuity
of the optimal multifunctions have been examined by Penot [24]. Luc, Lucchetti and Malivert [18] investigated the stability of vector optimization in
terms of the convergence of the efficient sets. Miglierina and Molho [20, 21]

obtained some results on stability of convex vector optimization problems by
considering the convergence of efficient sets. For more results concerning use of
convexity in stability analysis, we refer readers to [17,19]. Various stability results on the optimal multifunctions were presented in the monographs [17, 25]
and papers (see e.g. [4–8, 12, 13, 24]). Using the so-called domination property,
containment property and dual containment property Bednarczuk [4–8] studied
the Hausdorff upper semicontinuity, the C-Hausdorff upper semicontinuity and
the lower (upper) semicontinuity of the efficient solution map and the efficient
point multifunctions. Recently, by using the approach of Bednarczuk [4,6] and
introducing the new concepts of local containment property, K-local domination property and uniformly local closedness of a multifunction around a given
point, Chuong and Yen [12] obtain further results on the lower semicontinuity
of efficient point multifunctions taking values in Hausdorff topological vector
spaces.
In this paper, following the ideas of [4, 12, 18] we study the stability of a
vector optimization problem using the notion of relative Pareto efficiency. The
rest of paper is organized as follows. Section 2 presents the notion of relative
Pareto efficient and the relationships between this notions and the traditional
solution concepts. In Section 3, we establish the upper part of convergence in
the sense of Kuratowski-Painlev´e of relative Pareto efficient sets. In Section 4,


Stability of relative Pareto efficient sets

3

we study the lower part of convergence in the sense of Kuratowski-Painlev´e
of relative Pareto efficient sets. In Section 5, we propose new concepts called
relative containment property, relative lower semicontinuous and relative upper
Hausdorff semicontinuous of a multifunctions around a given point. Then, we
derive some sufficient conditions for the lower semicontinuity of efficient point
multifunctions under perturbations for cones with possibly empty interior. The

new theorems extend the corresponding ones in [4, 12, 18]. Examples are given
to illustrate the results obtained.

2 On the concept of extended Pareto efficient
Let Z be a Banach space. For a set A ⊂ Z, the following notations will be
used throughout: int A, cl A (or A), bd A, ri A, qri A and aff (A) stay for the
interior, closure, boundary, relative interior, quasi relative interior and affine
hull of A in Z. We denote by N (z) the set of all neighborhoods of z ∈ Z. By
0Z we denote the zero vector of Z. The closed unit ball in Z is abbreviated to
B. The closed ball with center z and radius ρ denoted by B(x, ρ).
Definition 1 (see [3, Definition 13.3]) Let Z be a Banach space with an ordering Θ containing the origin, A be a nonempty subset in Z and z¯ ∈ A. We
say that
(i) z¯ is a local extended Pareto efficient of A with respect to Θ, or it is a local
Θ-efficient point of A if there exist a neighborhood V of z¯ such that
A ∩ (¯
z − Θ) ∩ V = {¯
z }.

(1)

(ii) z¯ is a global Θ-efficient (or Θ-efficient for brevity) of A if we can choose
V = Z in (1).
Remark 1 (a) (see [3, Remark 13.1 (d)]) The notion Θ-efficient unifies all
known kinds of Pareto-type optimality. Let A be a subset in a Banach space
Z ordered by a closed and convex cone C ⊂ Z satisfying C\(−C) = ∅, i.e., C
is not a linear subspace of Z, and let z¯ ∈ A.
• z¯ is a Pareto efficient point of A (with respect to C) if
A ∩ (¯
z − C) = {¯
z } or A ∩ (¯

z − C\{0}) = ∅.

(2)

• z¯ is a weak Pareto efficient point of A if
A ∩ (¯
z − intC) = ∅ provided that intC = ∅.

(3)

• z¯ is an ideal Pareto efficient point of A if
A ⊂ z¯ + C or A ∩ (¯
z − (Z\(−C))) = ∅.

(4)

• z¯ is a relative efficient point (or Slater efficient point) of A if
A ∩ (¯
z − riC) = ∅ provided that riC = ∅,

(5)


4

N. V. Tuyen

where riC is the collection of interior points of C with respect to the closed
affine hull of C.
• z¯ is a quasi relative efficient point of A if

A ∩ (¯
z − qriC) = ∅ provided that qriC = ∅,

(6)

where qriC is the collections of those points z ∈ C for which the set
cl (cone (C − z))
is a linear subspace of Z.
Obviously, a Pareto, weak Pareto, ideal, relative Pareto, and quasi relative
efficient point in (3)–(6) can be unified by a Θ-efficient point, where Θ is, for
each kind of efficient points, defined by
• Pareto: Θ = C;
• weak Pareto: Θ = int C ∪ {0};
• ideal Pareto: Θ = (Z\(−C)) ∪ {0};
• relative Pareto: Θ = ri C ∪ {0};
• quasi relative Pareto: Θ = qri C ∪ {0};
(b) Observe that each weak efficient point is a relative efficient point, since the
condition int C = ∅ yeilds ri C = int C. Furthermore, each relative efficient
point is a quasi relative efficient point, since the ri C = ∅ yields qri C = ri C.
(c) The condition C\(−C) = ∅ is equivalent to 0 ∈
/ ri C.
(d) The set of all the relative Pareto efficient (weak Pareto efficient) points of
A with respect to C is denoted by ReMin (A | C) (WMin (A | C)). The set of all
the Pareto efficient poitnts of A with respect to C is denoted by Min (A | C).
It is easy to see that
Min (A | C) ⊂ ReMin (A | C).
The opposite inclusion does not hold in general. However, if A is a rotund set,
then we have Min (A | C) = ReMin (A | C).
Definition 2 (see, e.g., [15, 21]) A nonempty convex set A ⊂ Z is said to be
rotund when the boundary of A does not contain line segments.

Proposition 1 Let Z be a Banach space and C be a convex cone with ri C = ∅
and C\(−C) = ∅. If A is a rotund set, then
ReMin (A | C) = Min (A | C).

(7)

Proof By Remark 1(d), it suffices to prove that ReMin (A | C) ⊂ Min (A | C).
Suppose to the contrary that there is an element z¯ ∈ ReMin (A | C)\Min (A | C).
Then there exist z ∈ A such that
z − z¯ ∈ (−C\(−ri C ∪ {0})).
From z, z¯ ∈ A and rotundity of A imply that

z , z] := {x ∈ Z | x = z¯ + α(z − z¯), α ∈ (0, 1]}


Stability of relative Pareto efficient sets

5

does not lie entirely in the boundary of bd (A). Hence there exist α
¯ ∈ (0, 1]
such that x
¯ := z¯ + α
¯ (z − z¯) ∈ int A. From
α
¯ (z − z¯) ∈ (−C\(−ri C ∪ {0})),
implies that
x
¯ − z¯ ∈ (−C\(−ri C ∪ {0})).
Since x

¯ ∈ int A, we can choose e ∈ −ri C such that x
¯ + e ∈ A. Then we have
x
¯ + e − z¯ = (¯
x − z¯) + e
⊂ (−C\(−ri C ∪ {0})) − ri C
⊂ −C − ri C ⊂ −ri C,
or
x
¯ + e ∈ (¯
z − ri C).
Thus

x + e) ∈ A ∩ (¯
z − ri C),
contrary to z¯ ∈ ReMin (A | C)\Min (A | C). The proof is complete.



Corollary 1 (see [21, Proposition 4.3]) Let Z be a Banach space and C be a
convex pointed cone with int C = ∅. If A is a rotund set, then
WMin (A | C) = Min (A | C).
In [16, 29], we provided an extended version of the notion of generalized
order optimality in [23, Definition 5.53] and gave a detailed analysis of the
notion of generalized order optimality and compared it with the traditional
notions of Pareto efficiency, weakly Pareto efficiency and Slater efficiency.
Definition 3 Let Z be a Banach space, A be a nonempty set in Z, and C ⊂ Z
be a set containing 0Z . A point z¯ ∈ A is said to be a generalized efficient point
of A with respect to C, if there is a sequence {zk } ⊂ Z with zk → 0 as
k → ∞ such that

A ∩ (¯
z − C − zk ) = ∅ ∀k ∈ N.
(8)
The set of all the generalized efficient points of A with respect to C is
denoted by GE(A | C).
Proposition 2 Suppose that C is a convex cone with qri C = ∅. If z¯ ∈ A is a
quasi relative efficient point of A, then z¯ is a generalized efficient point of A
with respect to C.
Proof Suppose that z¯ is a quasi relative efficient point of A with respect to
C. Since qri C = ∅ we can select an element z0 ∈ qri C. For each k ∈ N, put
zk = (k + 1)−1 z0 . From the convexity of C and z0 ∈ qri C imply that
C+

k
z0
z0
=
C+
⊂ qri C ∀k ∈ N.
k+1
k+1
k+1


6

N. V. Tuyen

Since z¯ is a quasi relative efficient point of A with respect to C, we have
A ∩ (¯

z − qri C) = ∅.
Thus
A ∩ (¯
z−C −

z0
) = ∅ ∀k ∈ N.
k+1

(9)

Obviously, zk → 0 as k → ∞. This and (9) imply that z¯ is a generalized
efficient point of A with respect to C.

Corollary 2 (see [29, Proposition 2.9]) Suppose that C is a convex cone with
ri C = ∅. If z¯ ∈ A is a relative efficient point of A, then z¯ is a generalized
efficient point of A with respect to C.
Proposition 3 (see [29, Proposition 2.11]) If C is a convex cone with int C =
∅, then
WMin (A | C) = GE(A | C).
(10)

3 Upper convergence of relative Pareto efficient sets
Let Z be a Banach space, (An ) be a sequence of subsets in Z and A ⊂ Z be
a nonempty subset. We recall some concepts of convergence of a sequence of
sets.
• The convergence in the sense of Kuratowski-Painlev´e:
The Kuratowski-Painlev´e lower and upper limits of (An ) are defined as
Li An := {z ∈ Z , | z = lim zn , zn ∈ An for all large n},
n→∞


Ls An := {z ∈ Z , | z = lim zk , zk ∈ Ank for some (Ank ) ⊂ (An )}.
n→∞

Clearly, Li An ⊂ Ls An . If Ls An ⊂ A ⊂ Li An , then we say that (An ) converges
K
to A in the sense of Kuratowski-Painlev´e and we denote An −→ A. From
K
closedness of Ls An and Li An imply that if An −→ A, then A is a closed
subset. When we consider the limits in the weak topology on Z, we denote
the lower and the upper limits above by w − Li An and w − Ls An . When
w − Ls An ⊂ A ⊂ Li An , we say that (An ) converges to A in the sense of
M
Mosco and we denote An −→ A.
• The convergence in the sense of Wijsman:
We say that (An ) converges to A in the sense of Wijsman if
lim d(An , x) = d(A, x)∀x ∈ Z,

n→∞

where d(A, x) = inf d(a, x).
a∈A

• The convergence in the sense of Attouch-Wets:


Stability of relative Pareto efficient sets

7


Let x ∈ Z and let A, B be nonempty subsets in Z. Define
d(x, A) = inf d(x, a) (d(x, ∅) = ∞),
a∈A

e(A, B) = sup d(a, B) (e(∅, B) = 0, e(∅, ∅) = 0, e(A, ∅) = ∞),
a∈A

eρ (A, B) = e(A ∩ Bρ , B) Bρ = B(0, ρ),
hρ (A, B) = max{eρ (A, B), eρ (B, A)}.
We say that the sequence (An ) ⊂ Z converges to A in the sense Attouch-Wets
if
lim hρ (An , A) = 0
n→∞

for all ρ > 0. We can split this notion of convergence into an upper part and
a lower part as follows
lim eρ (An , A) = 0,
n→∞

and
lim eρ (A, An ) = 0.

n→∞

Sonntag and Z˘
alinescu [26] shown that the upper part convergence in the sense
of Attouch-Wets is equivalent to
lim inf d(An , B) ≥ d(A, B),
n→∞


for each nonempty bounded set B, where d(A, B) := inf inf d(a, b).
a∈A b∈B

For the relationships between the various notions of set convergence introduced here, see, e.g., [1, 26]. It is well known that, if Z is a finite dimensional
space, the above quoted notions of set-convergence coincide whenever we consider a sequence (An ) of closed sets.
Lemma 1 Let C be a convex subset in Z with nonempty relative interior. If
z∈
/ ri C, then there exists y ∈ C such that
(1 − µ)y + µz ∈
/C
for all µ > 1.
Proof On the contrary, suppose that there exist z ∈
/ ri C and µ > 1 such that
(1 − µ)y + µz ∈ C

(11)

for all y ∈ C. Since ri C = ∅, it follows that there is x ∈ ri C. From (11) implies
that
(1 − µ)x + µz ∈ C.
Thus there is y ∈ C satisfying (1 − µ)x + µz = y. Thus z = (1 − λ)x + λy,
where 0 < λ = µ1 < 1. By [11, Lemma 3.1], we have z ∈ ri C, which contradicts
the fact that z ∈
/ ri C.



8

N. V. Tuyen


Let (Cn ) be a sequence of convex cones in Z, and C ⊂ Z be a convex cone. For
brevity, in the sequel we write ReMin A, ReMin An , Min A, Min An , WMin A,
and WMin An instead of ReMin (A | C), ReMin (An | Cn ), Min (A | C), Min (An | Cn ),
WMin (A | C), and WMin (An | Cn ), respectively.
Theorem 1 Let (Cn ) and C be convex cones in Z with nonempty relative
interior and Cn \(−Cn ) = ∅, C\(−C) = ∅. If
K
(i) An −→ A,
(ii) Ls Cnc ⊂ C c ∪ {0}, where C c := Z\C, then
Ls ReMin An ⊂ ReMin A.
Proof Arguing by contradiction, assume that there is x ∈ Ls ReMin An \ReMin A.
Since x ∈ Ls ReMin An and (i), we see that for each k ∈ N there exist
xk ∈ ReMin Ank such that lim xk = x and x ∈ A. From x ∈
/ ReMin A
k→∞

implies that there exists a ∈ A satisfying
x − a ∈ ri C,
or
x−a∈
/ (ri C)c .

(12)

We claim that
x−a∈
/ Ls (ri Cn )c .
Indeed, if otherwise, then there exist
zk ∈ (ri Ck )c


(13)

where (ri Ck ) ⊂ (ri Cn ) satisfying lim zk = x − a. From (13) we see that for
k→∞

each k ∈ N there exists yk ∈ Ck such that
(1 − µ)yk + µzk ∈
/ Ck
for all µ > 1. Substituting µ = 1 +


1
m

(14)

into the left side of (14) we obtain

1
1
yk + (1 + )zk ∈
/ Ck ,
m
m

(15)

for all m ∈ N. Taking m → ∞ in (15), we have
zk ∈ cl (Ckc ) ∀k ∈ N.

Taking k → ∞ in (16), we obtain
x − a ∈ Ls [cl (Cnc )] .
Furthermore,
Ls [cl (Cnc )] = Ls Cnc ⊂ C c ∪ {0} ⊂ (ri C)c .
Thus
x − a ∈ (ri C)c ,

(16)


Stability of relative Pareto efficient sets

9

contrary to (12). From Ls (ri Cnk )c ⊂ Ls (ri Cn )c implies that x−a ∈
/ Ls (ri Cnk )c .
Since a ∈ A and (i) imply that there exist an ∈ An satisfying lim an = a.
n→∞
Thus lim ank = a, where ank ∈ Ank ∀k ∈ N. From
k→∞

lim (xk − ank ) = x − a ∈
/ Ls (ri Cnk )c ,

k→∞

implies that there exists k0 ∈ N such that
xk0 − ank0 ∈
/ (ri Cnk0 )c ,
or

xk0 − ank0 ∈ ri Cnk0 ,
contradicting the fact that xk0 is efficient of Ank0 with respect to Cnk0 . The
proof is complete.

In Theorem 1, the condition (ii) cannot be replaced the weaker condition
“Ls Cnc ⊂ cl (C c )”. To see this, we consider the following example.
Example 1 Let Z = R2 and C = R+ × {0}. Let
An =

1
z = (z1 , z2 ) ∈ R2 | z2 = − z1 , −1 ≤ z1 ≤ 1 , Cn = C ∀n ∈ N,
n
K

and A = [−1, 1]×{0}. It is easy to see that An −→ A and Ls Cnc = cl (C c ) = R2 .
However, we have ReMin An = An for all n ∈ N and ReMin A = {(−1, 0)}.
Clearly,
Ls ReMin An = A ReMin A.
Corollary 3 Let (Cn ) and C be convex cones in Z with nonempty interior.
If
K
(i) An −→ A,
(ii) Ls Cnc ⊂ cl (C c ),
then
Ls WMin An ⊂ WMin A.
Proof Note that when int C = ∅ then cl (C c ) ⊂ (int C)c . Analysis similar to
that in the proof of Theorem 1 shows that
Ls ReMin An ⊂ ReMin A.
From ReMin An = WMin An for all n and ReMin A = WMin A imply that
Ls WMin An ⊂ WMin A.

The proof is complete.



Remark 2 If Cn = C for all n ∈ N and int C = ∅, then the condition (ii) in
Corollary 3 is satisfied and Corollary 3 coincides with [19, Proposition 3.1]


10

N. V. Tuyen

Theorem 2 Let Cn and C be convex cones in Z with nonempty relative interior and Cn \(−Cn ) = ∅, C\(−C) = ∅. If
K

(i) An −→ A,
(ii) Ls Cnc ⊂ C c ∪ {0},



(iii) for every bounded subset of

ReMin An is relatively compact,
n=1

then
lim inf d(ReMin An , B) ≥ d(ReMin A, B),
n→∞

(17)


for each bounded subset B.
Proof The conclusion of the Theorem is trivial lim inf d(ReMin An , B) = +∞.
n→∞

Thus it suffices to consider the case lim inf d(ReMin An , B) is finite. Suppose
n→∞
on the contrary that there is some bounded subset B ⊂ Z and some positive
number γ > 0 such that
lim inf d(ReMin An , B) < γ < α,

(18)

n→∞

where α := d(ReMin A, B). By taking a subsequence of (An ) if necessary we
may assume that
d(ReMin An , B) < γ ∀n ∈ N.
This implies that there exists yn ∈ ReMin An satisfying
d(yn , B) < γ ∀n ∈ N.


Hence the sequence (yn ) is bounded. From (yn ) ⊂

ReMin An and (iii),
n=1

without loss of generality, we can assume that the sequence (yn ) converges to
y0 ∈ Z. Since (i), we have y0 ∈ A. From
d(y0 , B) ≤ γ < α = d(ReMin A, B)

implies that y0 ∈
/ ReMin A. Thus there exists a ∈ A satisfying
y0 − a ∈ ri C,
or
y0 − a ∈
/ (ri C)c .

(19)

As in the proof of Theorem 1, inclusion (19) gives
y0 − a ∈
/ Ls (ri Cn )c .
From a ∈ A and (i) imply that there is a sequence (an ), an ∈ An such that
lim an = a. Consequently

n→∞

lim (yn − an ) = y0 − a ∈
/ Ls (ri Cn )c .

n→∞


Stability of relative Pareto efficient sets

11

Thus there exists n0 ∈ N satisfying
yn0 − an0 ∈
/ (ri Cn0 )c ,

or
yn0 − an0 ∈ ri Cn0 ,
contradicting the fact that yn0 is a relative efficient point of An0 with respect
to Cn0 . The proof is complete.

Corollary 4 (see [18, Theorem 2.1]) Let Cn and C be convex cones in Z with
nonempty interior and Cn \(−Cn ) = ∅, C\(−C) = ∅. If the conditions (i)–(iii)
of Theorem 2 are satisfied, then
lim inf d(WMin An , B) ≥ d(WMin A, B),
n→∞

(20)

for each bounded subset B.
Theorem 3 Let Z be a reflexive Banach space, let (Cn ) and C be convex
pointed cones with nonempty relative interior. If
(i) w − Ls An ⊂ A ⊂ w − Li An ,
(ii) w − Ls (ri Cn )c ⊂ (ri C)c ,
then
lim inf d(ReMin An , x) ≥ d(ReMin A, x) ∀x ∈ Z.
(21)
n→∞

Proof Let x be an arbitrary element in Z. As in the proof of Theorem 2, we
need only consider the case that lim inf d(ReMin An , x) is finite. Arguing by
n→∞
contradiction, assume that
lim inf d(ReMin An , x) < d(ReMin A, x)
n→∞


for some x ∈ Z. By taking a subsequence of (An ) if necessary we can find
yn ∈ ReMin An and a positive number γ satisfying
d(yn , x) < γ < d(ReMin A, x) ∀n ∈ N.
By the reflexivity of Z and the boundedness of (yn ), there exists a subsequence
of (yn ) weakly converges to y0 ∈ Z. From (i) we obtain y0 ∈ A. Hence
d(y0 , x) ≤ γ < d(ReMin A, x).
This implies that y0 ∈
/ ReMin A. Thus there exists a ∈ A such that y0 − a ∈
ri C. From (i) implies that there is a sequence (an ), an ∈ An for n large enough
satisfying
w − lim an = a.
n→∞

We claim that there exists n0 such that yn − an ∈ ri Cn for all n ≥ n0 . Indeed,
if otherwise, then there exists (ynk − ank ) ⊂ (yn − an ) satisfying
ynk − ank ∈ (ri Cnk )c ∀k ∈ N.


12

N. V. Tuyen

From w − lim (ynk − ank ) = y0 − a we have
k→∞

y0 − a ∈ w − Ls (ri Cn )c ⊂ (ri C)c .
Thus y0 − a ∈ (ri C)c , which contradicts the fact that y0 − a ∈ ri C. The proof
is complete.

4 Lower convergence of relative Pareto efficient sets

Let Z be a Banach space, ∅ = A ⊂ Z and let C ⊂ Z be a closed convex cone
with C\(−C) = ∅. Put Θ := ri C ∪ {0}.
Definition 4 We say that the relative domination property, denoted by (RDP ),
holds for a set A ⊂ Z if for each x ∈ A, there is some a ∈ ReMin A such that
x ∈ a + Θ.
Remark 3 1) The relative domination property is an extended version of the
weak domination property ((W DP ) for brevity). If int C = ∅, then Θ = int C ∪
{0} and the relative domination property coincides with the weak domination
property.
2) From Difinition 4 implies that (RDP ) holds for A iff A ⊂ ReMin A + Θ.
3) Θ = ri C ∪ {0} is a correct cone. Indeed, we have
cl Θ + Θ\l(Θ) = C + Θ\l(Θ)
⊂ C + Θ\{0}
= C + ri C
= ri C ⊂ Θ.
Thus Θ is a correct cone.
4) From ReMin A = Min (A | Θ) and the correctness of Θ imply that (RDP )
holds for every compact set A.
In this section we assume that Cn = C for all n ∈ N, where C is a closed
convex cone with nonempty relative interior and C\(−C) = ∅.
Theorem 4 Suppose that the following conditions hold
K
(i) An −→ A,
(ii) (RDP ) holds for (An ) for all n large enough,


(iii)

ReMin An is relative compact.
n=1


Then ReMin A is nonempty and ReMin A ⊂ Li ReMin An .
Proof We first show that ReMin A is nonempty. Define A0 := Ls ReMin An .
Then A0 is a closed subset in Z. From the nonemptyness of A and A ⊂
Li An imply that An is nonempty for all n large enough. Since (ii) and (iii),
it follow that A0 is a nonempty compact set. From the correctness of Θ and


Stability of relative Pareto efficient sets

13

the compactness of A0 imply that ReMin A0 = Min (A0 | Θ) is nonempty. We
claim that ReMin A0 ⊂ ReMin A. On the contrary, suppose that there exists
e ∈ ReMin A0 \ReMin A. Then there is a ∈ A such that
e ∈ a + ri C.

(22)

By (i), there is a sequence (an ) such that an ∈ An for all n and lim an = a.
n→∞

From (ii) implies that there exists en ∈ ReMin An satisfying
an ∈ en + Θ
for all n large enough. Consequently,
an ∈ en + C
for all n large enough. In view of (iii) we may assume that the sequence (en )
converges to some e0 ∈ Z. It is easy to see that e0 ∈ A0 and
a ∈ e0 + C.
From this and (22) imply that

e ∈ e0 + C + ri C ⊂ e0 + ri C.
Consequently,
e ∈ e0 + ri C,
which contradicts the minimality of e. Thus
ReMin A0 ⊂ ReMin A
and ReMin A is nonempty.
We now claim that ReMin A ⊂ Li ReMin An . Taking any a ∈ ReMin A.
From (i) implies that there is a sequence (an ) such that an ∈ An for all
n ∈ N and lim an = a. Since (RDP ) holds for An , it follows that there exists
n→∞
en ∈ ReMin An such that
an ∈ en + Θ
(23)
for all n large enough. From (iii) we may assume that (en ) converges to some
e ∈ A. We shall show that e = a. Indeed, assume that e = a. Taking n → ∞
in (23) we obtain
a − e ∈ C.
From lim (an − en ) = a − e = 0 we have
n→∞

0 = an − en ∈ Θ,
for all large enough n. Consequently,
0 = an − en ∈ ri C,


14

N. V. Tuyen

for all large enough n. Let x be an arbitrary element in C. Then there exists

µ > 1 satisfying
(1 − µ)x + µ(an − en ) ∈ C ∀n ∈ N.
(24)
Taking n → ∞ in (24), by the closedness of C, we obtain
(1 − µ)x + µ(a − e) ∈ C.
Thus a − e ∈ ri C, which contradicts the fact that a ∈ ReMin A. Thus a = e.
From this and e ∈ Li ReMin An imply that a ∈ Li ReMin An . Thus
ReMin A ⊂ Li ReMin An .


The proof is complete.

The next example shows that Theorem 4 cannot be deduced from [18, Theorem
3.1].
Example 2 Let Z = R2 and C = R+ × {0}. Let
1
n
z1 , 0 ≤ z1 ≤ 1 +
n+1
n
1
∪ (z1 , z2 ) ∈ R2 | 0 ≤ z2 ≤ 1, z1 > 1 +
, Cn = C ∀n ∈ N,
n

An =

(z1 , z2 ) ∈ R2 | 0 ≤ z2 ≤

and

A = (z1 , z2 ) ∈ R2 | 0 ≤ z2 ≤ z1 , 0 ≤ z1 ≤ 1
∪ (z1 , z2 ) ∈ R2 | 0 ≤ z2 ≤ 1, z1 > 1 .
We have ReMin A = {(z1 , z2 ) | z2 = z1 , 0 ≤ z1 ≤ 1} and
ReMin An =

(z1 , z2 ) ∈ R2 | z2 =

1
n
z1 , 0 ≤ z1 ≤ 1 +
n+1
n

∀n ∈ N.

It is easy to check that all conditions in Theorem 4 are satisfied. Thus
ReMin A ⊂ Li ReMin An .
However, Ls Θ
be employed.

Θ, where Θ = {0} ∪ ri C. Thus Theorem 3.1 in [18] cannot

Remark 4 In Theorem 4, the condition (iii) can be replaced by the following
weaker condition:
(iii ) If an ∈ An is such that lim an exists and
n→∞

en ∈ ReMin An ∩ (an − Θ),
then (en ) admits a convergent subsequence.



Stability of relative Pareto efficient sets

15

Theorem 5 Suppose that the following conditions hold
K
(i) An −→ A,
(ii)(RDP ) holds for (An ) for all n large enough,
(iii) if an ∈ An is such that lim an exists and
n→∞

en ∈ ReMin An ∩ (an − Θ),
then (en ) admits a convergent subsequence.
(iv) for any ρ > 0, ReMin A ∩ B(0, ρ) is relatively compact.
Then for each ρ > 0 we have
lim eρ (ReMin A, ReMin An ) = 0.

n→∞

Proof We will follow the scheme of the proof of [18, Theorem 3.3]. Suppose
that the conclusion of Theorem does not hold, then there exist ρ > 0, > 0
and a subsequence (Ank ) of (An ) such that
eρ (ReMin A, ReMin Ank ) >

∀k ∈ N.

(25)

Thus for each k ∈ N there is ek ∈ ReMin A ∩ Bρ satisfying

d(ek , ReMin Ank ) > .

(26)

By (iv), (ek ) admits a subsequence converging to some e ∈ Z and then from
(26) there exists k0 such that
d(e, ReMin Ank ) >

2

∀k > k0 .

(27)

From Theorem 4 implies that ReMin A ⊂ Li ReMin An . Thus, for each k,
there exists a sequence (eki ) such that eki ∈ ReMin Ani for all i ∈ N and
lim eki = ek . Consequently, for each k ∈ N, there is a sequence (eki(k) ) such
i→∞

that eki(k) ∈ ReMin Ani(k) and
d(ek , eki(k) ) <

1
.
k

Clearly, (eki(k) ) converges to e, contrary to (27).




5 The relative containment property and the lower semicontinuity
of the relative Pareto efficient multifunction
Let A be a nonempty subset in a Banach space Z and B ⊂ A. Suppose that
C ⊂ Z is a convex cone.
Definition 5 We say that the domination property (DP ) holds for (A, B) ⊂
Z × Z, if
A ⊂ B + C.
(28)


16

N. V. Tuyen

Definition 6 We say that the containment property (CP ) holds for (A, B) ⊂
Z × Z, if for each W ∈ N (0Z ) there exists V ∈ N (0Z ) such that
[A\(B + W )] + V ⊂ B + C.

(29)

The following definition gives a weaker form of the notion containment property of a pair subset (A, B).
Definition 7 We say that the relative containment property ((RCP ) for
brevity) holds for (A, B) ⊂ Z × Z if for each W ∈ N (0Z ) there exists
V ∈ N (0Z ) such that
[A\(B + W )] + [V ∩ aff (C)] ⊂ B + C.

(30)

Note that if int C = ∅, then the relative containment property coincides with
the containment property.

Example 3 Let A = {(z1 , z2 ) ∈ R2 | 0 ≤ z1 ≤ 1, 0 ≤ z2 ≤ 1}, C = R+ × {0}
and B = Min A. We have
Min A = {0} × [0, 1] and Min A + C = {(z1 , z2 ) ∈ R2 | 0 ≤ z1 , 0 ≤ z2 ≤ 1}.
It is easy to see that A ⊂ Min A + C. Thus (DP ) holds for (A, Min A). But
(CP ) does not hold for this pair. Indeed, take W = B(0R2 , 21 ). We have
A\(Min A + W ) =

(z1 , z2 ) ∈ R2 |

1
≤ z1 ≤ 1, 0 ≤ z2 ≤ 1 .
2

Hence for any V ∈ N (0R2 ) then [A\(Min A + W )] + V
Min A + C. We now
claim that (RCP ) holds for (A, Min A). Let W = B(0R2 , ) be an arbitrary
neighborhood of zero. An easy computation shows that
A\(Min A+W ) = {(z1 , z2 ) ∈ R2 | ≤ z1 ≤ 1, 0 ≤ z2 ≤ 1} and aff C = R×{0}.
Choose V = B(0R2 , 2 ) ∈ N (0R2 ). Then
[A\(Min A + W )] + [V ∩ aff C] ⊂ Min A + C.
Thus (RCP ) holds for (A, Min A).
Proposition 4 Let A be a nonempty subset in Z and C ⊂ Z be a convex cone
with ri C = ∅. If (RCP ) holds for (A, Min A), then
Min A ⊂ ReMin A ⊂ cl Min A.
Proof Due to Remark 1(d), to finish the proof, it suffices to show that
ReMin A ⊂ cl Min A.
Arguing by contradiction, assume that there is z¯ ∈ ReMin A\cl Min A. Since
z¯ ∈ ReMin A, we have

z − ri C) ∩ A = ∅.

(31)


Stability of relative Pareto efficient sets

17

We claim that

z − ri C) ∩ (Min A + C) = ∅.

(32)

Otherwise, there exist θ ∈ ri C, a ∈ Min A and c ∈ C such that z¯ − θ = a + c.
This imply that
a = z¯ − (θ + c) ⊂ z¯ − (ri C + C)
⊂ z¯ − ri C.
Thus a ∈ (¯
z − ri C) ∩ A, contrary to (31). From z¯ ∈
/ cl Min A implies that
there exists W ∈ N (0Z ) such that z¯ ∈
/ (Min A + W ). Since(RCP ) holds for
(A, Min A) there exists V ∈ N (0Z ) such that
[A\(Min A + W )] + [V ∩ aff (C)] ⊂ Min A + C.
Thus
z¯ + [V ∩ aff (C)] ⊂ Min A + C.
Clearly, (¯
z − ri C) ∩ z¯ + [V ∩ aff (C)] = ∅. Hence

z − ri C) ∩ (Min A + C) = ∅,



contrary to (32).

Note that the set ReMin A may not be closed even in case that A is closed.
Indeed, let
A = {z = (z1 , z2 ) ∈ R2 | z12 + z22 ≤ 1} ∪ {(−2, 0)}
and C = R+ × {0}. Then
ReMin A = {z = (z1 , z2 ) ∈ R2 | z12 + z22 = 1, z1 ≤ 0, z2 = 0} ∪ {(−2, 0)}
and it is not closed.
However, if A ⊂ Rm is polyhedral, then ReMin A is closed. To prove this
we need the following lemma.
Lemma 2 Suppose that A is a polyhedral subset of Rm defined by
A = {z ∈ Rm | ai , z ≤ bi , i = 1, 2, ..., N },

(33)

where ai ∈ Rm and bi ∈ R for all i ∈ I =: {1, 2, ..., N }. Let C ⊂ Z be a pointed
closed convex cone. Then ReMin A is nonempty if and only if
Rec (A) ∩ (−ri C) = ∅,
where Rec (A) is the recession cone of A and defined by Rec (A) = {z ∈
Rm | ai , z ≤ 0, i ∈ I}.


18

N. V. Tuyen

Proof Denote Θ := {0} ∪ ri C. We have ReMin A = Min (A | Θ). By Theorem
3.18 of Chapter 2 [17], ReMin A is nonempty if and only if

Rec (A) ∩ (−Θ) = {0}.

(34)

From the pointedness of C we see that 0 ∈
/ ri C. Thus the condition (34) is
equivalent to
Rec (A) ∩ (−ri C) = ∅,
completing the proof.

Theorem 6 If A is a polyhedral subset in Rm given by (33) and C ⊂ Rm is
a pointed closed convex cone, then ReMin A is closed.
Proof We will follow the scheme of the proof of [8, Proposition 4.1]. Suppose
that the conclusion of Theorem does not hold, then there exists a sequence
(zn ) ⊂ ReMin A which converges to z¯ and z¯ ∈
/ ReMin A. Thus there is z ∈ A
satisfying z¯ − z ∈ ri C. For each n ∈ N put
In := {i ∈ I | ai , zn = bi }.
From I is finite and In ⊂ I for all n ∈ N imply that there exist infinitely many
integers n such that In = I1 . Without loss of generality, we can assume that
In = I1 for all n ∈ N. This means that
ai , zn = bi , i ∈ I1 and ai , zn < bi , i ∈ I\I1
for all n ∈ N. Thus ai , z¯ = bi and ai , z¯ ≥ ai , z for i ∈ I1 . Furthermore,
there exists i ∈ I\I1 such that ai , z¯ < ai , z . Otherwise,
ai , z¯ ≥ ai , z
for all i ∈ I, or
ai , z − z¯ ≤ 0
for all i ∈ I. This implies that z−¯
z ∈ Rec (A). Hence z−¯
z ∈ [Rec (A)∩(−ri C)],

which is impossible. Thus there are two index subsets J1 , J2 ⊂ I with J2 = ∅
satisfying
ai , z − z¯ ≤ 0, i ∈ J1 ⊃ I1 , and ai , z − z¯ > 0, i ∈ J2 .
For each n ∈ N put
λn = min
i∈J2

bi − ai , zn
> 0,
ai , z − z¯

and yn = zn + λn (z − z¯). We have
ai , yn = ai , zn + λn ai , z − z¯
≤ ai , zn + (bi − ai , zn )
≤ bi
for all i ∈ J2 . Clearly, ai , yn ≤ bi for all i ∈ I\J2 . Thus yn ∈ A for all n ∈ N.
Moreover, we have
yn − zn ∈ −ri C,
contradicting the fact that zn ∈ ReMin A. The proof is complete.



Stability of relative Pareto efficient sets

19

Corollary 5 Let A be a polyhedral subset in Rm and C be a pointed closed
convex cone. If (RCP ) holds for (A, Min A), then ReMin A = cl Min A.
Example 4 Let A and C be as in Example 3. It is easy to check that all
conditions in Corollary 5 are satisfied. Thus ReMin A = cl Min A = Min A.

Note that A is not a rotund set. Hence the sufficient condition for equation
(7) given by Proposition 1 is not a necessary one.
The following proposition gives a characterization of (RCP ) whenever
ri C = ∅.
Proposition 5 If ri C = ∅, then the following two properties are equivalent:
(i) (RCP ) holds for (A, B);
(ii) For each W ∈ N (0Z ) there is W0 ∈ N (0Z ) such that for all
y ∈ A\(B + W )
there exist ηy ∈ B and cy ∈ C satisfying
y = ηy + cy , (cy + W0 ) ∩ aff (C) ⊂ C.
Proof (i) ⇒ (ii): For each W ∈ N (0Z ), put CW = {c ∈ C | (c + W ) ∩ aff (C) ⊂
C}. Clearly, ri C = W ∈N (0Z ) CW . We claim that for any V ∈ N (0Z ) there
exists WV ∈ N (0Z ) such that
z ∈ Z | z + [V ∩ aff (C)] ∈ B + C ⊂ B + CWV .

(35)

Indeed, since 0Z ∈ (−C) = cl (−ri C), it follows that there exists WV ∈ N (0Z )
satisfying V ∩ (−CWV ) = ∅. Obviously, −CWV ⊂ aff (C). Thus
V ∩ (−CWV ) = V ∩ [(−CWV ) ∩ aff (C)] = [V ∩ aff (C)] ∩ (−CWV ) = ∅.
Choose zV ∈ [V ∩ aff (C)] ∩ (−CWV ). Take any z ∈ {c ∈ Z | c + [V ∩ aff (C)] ⊂
B + C}, i.e., z + [V ∩ aff (C)] ⊂ B + C. We have z + zV ∈ B + C. In the other
hand, we have C + CWV ⊂ CWV . Indeed, take any c1 ∈ C and c2 ∈ CWV . We
claim that (c1 + c2 ) ∈ CWV , or equivalent to [(c1 + c2 ) + WV ] ∩ aff (C) ⊂ C.
Let u be an arbitrary point in [(c1 + c2 ) + WV ] ∩ aff (C). Then there is w ∈ WV
such that u = c1 +c2 +w and c1 +c2 +w ∈ aff (C). Since C is a convex cone, we
have aff (C) + C = aff (C). Thus c2 + w = u − c1 ∈ aff (C) − C = aff (C). From
this and c2 ∈ CWV imply that c2 +w ∈ C. Thus u = c1 +(c2 +w) ∈ C +C = C.
This means that [(c1 + c2 ) + WV ] ∩ aff (C) ⊂ C for any c1 ∈ C and c2 ∈ CWV .
Hence C + CWV ⊂ CWV . This implies that

z ∈ B + C − zV ⊂ B + C + CWV ⊂ B + CWV .
Next, take any W ∈ N (0Z ). Since (RCP ) holds for A there exists V ∈ N (0Z )
such that
[A\(B + W )] + [V ∩ aff (C)] ⊂ B + C.
(36)
By virtue of (35) we can find WV ∈ N (0Z ) satisfying
{z ∈ Z | z + [V ∩ aff (C)] ∈ B + C} ⊂ B + CWV .

(37)


20

N. V. Tuyen

For each y ∈ A\(B + W ), it follows from (36) and (37) that
y + [V ∩ aff (C)] ⊂ B + C ⊂ B + CWV .
Thus there exist ηy ∈ B and cy ∈ C satisfying
y = ηy + cy , (cy + W0 ) ∩ aff (C) ⊂ C,
where W0 := WV .
(ii)⇒(i): Obviously.



Corollary 6 [7, Proposition 2.2] If int C = ∅, then the following two properties are equivalent:
(i) (CP ) holds for (A, Min A);
(ii) For each W ∈ N (0Z ) there is W0 ∈ N (0Z ) such that for all
y ∈ A\(Min A + W )
there exist ηy ∈ Min A and cy ∈ C satisfying
y = ηy + cy , cy + W0 ⊂ C.

Definition 8 Give a multifunction F : P ⇒ Z, where P is a topological space.
We put F(p) = Min (F (p)), R(p) = ReMin (F (p)) and call F : P ⇒ Z and
R : P ⇒ Z are the Pareto efficient multifunction and the relative Pareto efficient multifunction corresponding to the quadruplet {F, P, Z, C}, respectively.
We recal some concepts of upper and lower continuities of a multifunction.
Definition 9 Let F : P ⇒ Z be a multifunction and p0 ∈ P .
(i) F is upper semicontinuous (usc for brevity) at p0 if for every open set V
containing F (p0 ) there exists U0 ∈ N (p0 ) such that F (p) ⊂ V for all p ∈ U0 .
(ii) F is lower semicontinuous (lsc) at p0 ∈ dom F if for any open set V ⊂ Z
satisfying V ∩ F (p0 ) = ∅ there exists U0 ∈ N (p0 ) such that V ∩ F (p) = ∅ for
all p ∈ U0 .
(iii) F is Hausdorff upper semicontinuous (H-usc) at p0 if for every W ∈ N (0Z )
there exists U0 ∈ N (p0 ) such that F (p) ⊂ F (p0 ) + W for all p ∈ U0 .
(iv) F is Hausdorff lower semicontinuous (H-lsc) at p0 if for every W ∈ N (0Z )
there exists U0 ∈ N (p0 ) such that F (p0 ) ⊂ F (p) + W for all p ∈ U0 .
We now introduce some stronger forms of the properties lsc and H-usc of a
multifunction, which will be used in this section.
Definition 10 (i) F is said to be relatively lower semicontinuous (r-lsc for
brevity) at p0 ∈ dom F if for any z¯ ∈ F (p0 ) and W ∈ N (0Z ) there exists
U0 ∈ N (p0 ) such that [¯
z + (W ∩ aff (C))] ∩ F (p) = ∅ for all p ∈ U0 .
(ii) F is said to be relatively Hausdorff upper semicontinuous (r-H-usc) at p0
if for every W ∈ N (0Z ) there exists U0 ∈ N (p0 ) such that F (p) ⊂ F (p0 ) +
[W ∩ aff (C)] for all p ∈ U0 .


Stability of relative Pareto efficient sets

21

The following observations and remarks are simple:

1. If F is upper semicontinuous (Hausdorff lower semicontinuous), then F
is Hausdorff upper semicontinuous (lower semicontinuous).
2. If int C = ∅ then aff (C) = Z. Thus the properties r-usc (r-H-usc) and
usc (H-usc) are coincide.
3. If F is relatively lower semicontinuous, then F is lower semicontinuous.
The converse does not hold in general. For instance, let F : R ⇒ R2 be defined
by
F (p) = {(z1 , z2 ) ∈ R2 | 0 < z2 ≤ 1} ∀p ∈ R\{0},
F (0) = {0R2 } and C = R+ × {0}. Then F is lsc at every points but not r-lsc
at p = 0.
4. If F is relatively Hausdorff upper semicontinuous, then F is Hausdorff
upper semicontinuous. But not vice versa. For example, let P = R, Z = R2 ,
C = R+ × {0}. Let F : R ⇒ R2 be defined by
F (0) = {(z1 , z2 ) | z1 = 0}\{0R2 }
and
F (p) = {(z1 , z2 ) | − |p| ≤ z1 ≤ |p|} ∀p ∈ R\{0}.
Then for any δ > 0 we have
F (p) ⊂ F (0) + B(0R2 , δ) ∀p ∈ R, |p| <

δ
.
2

Thus F is H-usc at p0 = 0. However, for each δ > 0, we have
F (0) + [B(0R2 , δ) ∩ aff (C)] = {(z1 , z2 ) | |z1 | < δ and z1 = 0}.
Hence F (p) F (0) + [B(0R2 , δ) ∩ aff (C)] ∀p ∈ R\{0}. This means that F is
not r-H-usc at 0.
Let F and G be two multifunctions from P to Z. We say that (RCP )
holds for pair (F, G) uniformly around a certain p0 if for any neighborhood
W ∈ N (0Z ) there exist V ∈ N (0Z ) and U0 ∈ N (p0 ) such that

[F (p)\(G(p) + W )] + [V ∩ aff (C)] ⊂ G(p) + C ∀p ∈ U0 .

(38)

Theorem 7 Suppose that ri C = ∅ and (RCP ) holds for pair (F, R) uniformly
around p0 . If F is r-H-usc and r-lsc at p0 , then R is lcs at p0 .
Proof Let z¯ ∈ R(p0 ) and W ∈ N (0Z ). The proof will be completed if we can
show that there exists UW ∈ N (p0 ) such that

z + W ) ∩ R(p) = ∅ ∀p ∈ UW .

(39)

Take any W1 ∈ NB (0Z ) satisfying W1 + W1 ⊂ W . Since (RCP ) holds for pair
(F, R) uniformly around p0 , there exist W0 ∈ N (0Z ) and U0 ∈ N (p0 ) such
that for all p ∈ U0 and y ∈ [F (p)\(R(p) + W1 )] we can find ηy ∈ R(p) and
cy ∈ C satisfying
y = ηy + cy , (cy + W0 ) ∩ aff (C) ⊂ C.

(40)


22

N. V. Tuyen

Choose W2 ∈ NB (0Z ) satisfying W2 + W2 ⊂ W0 . By the relatively lower
semicontinuity of F at p0 , there exists a neighborhood U1 of p0 , U1 ⊂ U0 such
that


z + (W1 ∩ W2 ) ∩ aff (C)] ∩ F (p) = ∅ ∀p ∈ U1 .
For each p ∈ U1 let
yp ∈ [¯
z + (W1 ∩ W2 ) ∩ aff (C)] ∩ F (p).

(41)

By the relatively Hausdorff upper semicontinuity of F at p0 , there exists U2 ∈
N (p0 ), U2 ⊂ U1 , such that
F (p) ⊂ F (p0 ) + [(W1 ∩ W2 ) ∩ aff (C)] ∀p ∈ U2 .

(42)

Suppose first that there exists U ∈ N (p0 ), U ⊂ U0 , such that
yp ∈ R(p) + W1 ∀p ∈ U .

(43)

For each p ∈ U1 ∩ U , from (41) and (43) imply that there exist wp ∈ W1 ∩ W2 ,
ηp ∈ R(p) and w
¯p ∈ W1 satisfying
yp = z¯ + wp = ηp + w
¯p .
Thus
ηp = z¯ + wp − w
¯p ∈ z¯ + W1 + W1 ⊂ z¯ + W.
This means that

z + W ) ∩ R(p) = ∅ ∀p ∈ U1 ∩ U ,
which proves assertion (39) with UW = U1 ∩ U .

Next, suppose that for all U ∈ N (p0 ), U ⊂ U2 , there exists p ∈ U such
that
yp ∈
/ R(p) + W1 .
(44)
Combining (44) with (40) we have yp ∈ [F (p)\(R(p) + W1 )]. By (40), there
exist ηp ∈ R(p) and cp ∈ C satisfying
yp = ηp + cp , (cp + W0 ) ∩ aff (C) ⊂ C.

(45)

From (42) and the relation ηp ∈ R(p) ⊂ F (p) imply that there exist z0 ∈ F (p0 )
and w0 ∈ (W1 ∩ W2 ) ∩ aff (C) such that
ηp = z0 + w0 .

(46)

By (41), there is wp ∈ (W1 ∩ W2 ) ∩ aff (C) such that
yp = z¯ + wp .
Using (47), (45) and (46) we get
z¯ + wp = ηp + cp = z0 + w0 + cp .
This implies that
z¯ = z0 + cp + w0 − wp .

(47)


Stability of relative Pareto efficient sets

23


Furthermore,
cp + w0 − wp ∈ cp + [(W1 ∩ W2 ) ∩ aff (C)] − [(W1 ∩ W2 ) ∩ aff (C)]
⊂ cp + [W2 ∩ aff (C)] + [W2 ∩ aff (C)]
⊂ (cp + W0 ) ∩ aff (C) ⊂ C.
Put k0 := cp +w0 −wp . Then k0 ∈ ri C and z0 = z¯−k0 . Thus F (p0 )∩(¯
z −ri C) =
∅, which contradicts the fact that z¯ ∈ R(p0 ). The proof of the theorem is now
complete.

Note that if C is a convex cone with C\(−C) = ∅ and k0 ∈ ri C, then k0 =
0. From z¯ − k0 ∈ F (p0 ) and k0 = 0 imply that F (p0 ) ∩ (¯
z − ri C) = {¯
z }.
Consequently, F (p0 ) ∩ (¯
z − C) = {¯
z }. Thus, by replacing R by F, we have the
following assertion.
Corollary 7 Suppose that C is a convex cone with C\(−C) = ∅ and ri C = ∅,
and (RCP ) holds for pair (F, F) uniformly around p0 . If F is r-H-usc and r-lsc
at p0 , then F is lcs at p0 .
Corollary 8 (see [4, Theorem 4]) Suppose that C is a convex pointed cone
with int C = ∅, and (CP ) holds for pair (F, F) uniformly around p0 . If F is
H-usc and lsc at p0 , then F is lcs at p0 .
Example 5 Let P = [0, 1], Z = R2 , C = R+ × {0}. Let F : : P ⇒ R2 be
defined by setting
F (p) = {(z1 , z2 ) | f (z1 ) ≤ z2 ≤ −z1 + 1}
for all p ∈ [0, 1], where



−t + p
f (t) = 0


−t + 1

if t ≤ p
if p < t ≤ 1
if t > 1

for all t ∈ R. For each p ∈ [0, 1] we have
F(p) = {(z1 , z2 ) | z2 = −z1 + p, z1 ≤ p} ∪ {(z1 , z2 ) | z2 = −z1 + 1, z1 > 1}.
It is easy to check that (locCP ) (see [12, Definition 3.1]) does not hold for
F uniformly around p0 = 0. Note that F is r-H-usc and r-lsc at p0 . An easy
computation shows that (RCP ) holds for F uniformly around p0 . Thus F is
lsc at p0 .


24

N. V. Tuyen

References
1. Aubin, J. P., Frankowska, H.: Set-Valued Analysis, Birkh¨
auser, Boston, Massachusetts,
1990.
2. Bao, T. Q., Mordukhovich, B. S.: Relative Pareto minimizers for multiobjective problems:
existence and optimality conditions, Math. Program. 122 (2010), 101–138.
3. Bao, T. Q., Mordukhovich, B. S.: Extended Pareto optimality in multiobjective problems,
Chapter 13 of the book Recent Advances in Vector Optimization (Q. H. Ansari and J.-C.

Yao, eds.), pp. 467–516, Springer, Berlin, 2011.
4. Bednarczuk, E. M.: Berge-type theorems for vector optimization problems, Optimization
32 (1995), 373384.
5. Bednarczuk, E. M.: Some stability results for vector optimization problems in partially
ordered topological vector, in: Proceedings of the first world congress on World congress
of nonlinear analysts, volume III table of contents, Tampa, Florida, United States (1996),
2371–2382.
6. Bednarczuk, E. M.: A note on lower semicontinuity of minimal points, Nonelinear Anal.
50 (2002), 285–297.
7. Bednarczuk, E. M.: Upper H¨
older continuity of minimal points, J. Convex Anal. 9 (2002),
327–338.
8. Bednarczuk, E. M.: Continuity of minimal points with applications to parametric multiple
objective optimization, European J. Oper. Res. 157 (2004), 59–67.
9. Bednarczuk, E. M.: Stability analysis for parametric vector optimization problems. Diss.
Math. 442 (2007).
10. Borwein, J. M., Lewis, A. S.: Partially finite convex programming, Part I: Quasi relative
interior and duality theory, Math. Program. 57 (1992), 15–48.
11. Borwein, J. M., Goebel, R.: Notions of relative interior in Banach spaces, J. Math. Sci.
115 (2003), 2542–2553.
12. Chuong, T. D., Yao, J. C., Yen, N. D.: Further results on the lower semicontinuity of
efficient point multifunctions, Pacific J. Optim. 6, 405–422 (2010)
13. Dolecki, S., Malivert, C.: Stability of efficient sets: Continuity of mobile polarities, Nonlinear Anal., 12 (1988), pp. 1461–1486.
14. Dolecki, S., El Ghali, B.: Some old and new results on lower semicontinuity of minimal
points, Nonlinear Anal. 39 (2000), 599–609.
15. Holmes, R. B.: Geometric Functional Analysis and Its Applications, Grad. Texts in
Math. 24, Springer-Verlag, New York, 1975.
16. Huy, N. Q., Kim, D. S., Tuyen, N. V.: Existence theorems in vector optimization with
generalized order, submited.
17. Luc, D. T.: Theory of Vector Optimization, Lecture Notes in Econom. and Math. Systems 319, Springer-Verlag, Berlin, Heidelberg, 1989.

18. Luc, D. T., Lucchetti, R., Malivert, C.: Convergence of the efficient sets, Set-Valued
Anal., 2 (1994), pp. 207–218.
19. Lucchetti, R., Miglierina, E.: Stability for convex vector optimization problems, Optimization, 2 (2004), pp. 517–528 .
20. Miglierina, E., Molho, E.: Well-posedness and convexity in vector optimization, Math.
Methods Oper. Res., 58 (2003), pp. 375–385.
21. Miglierina, E., Molho, E.: Convergence of the minimal sets in convex vector optimization. SIAM J. Optim. 15, 513–526 (2005)
22. Mordukhovich, B. S.: Variational Analysis and Generalized Differentiation, Vol. I: Basic
Theory, Springer, Berlin, 2006.
23. Mordukhovich, B. S.: Variational Analysis and Generalized Differentiation, Vol. II:
Applications, Springer, Berlin, 2006.
24. Penot, J. P., Sterna-Karwat, A.: Parametrized multicriteria optimization: Continuity
and closedness of optimal multifunction, J. Math. Anal. Appl., 120 (1986), pp. 150–168.
25. Sawaragi, Y., Nakayama, H., Tanino, T.: Theory of Multiobjective Optimization. Mathematics in Science and Engineering, 176. Academic Press, Inc., Orlando, FL, 1985.
26. Sonntag, Y., Z˘
alinescu, C.: Set convergences: A survey and a classification, Set-Valued
Anal. 2 (1994), 339–356.


Stability of relative Pareto efficient sets

25

27. Stadler, W.: Initiators of multiobjective optimization. In: Stadler, W. (ed.) Multicriteria
Optimization in Engineering and in Sciences, pp. 325. Series in Mathematical Concepts
and Mathematics in Science and Engineering 37. Plenum Press, New York (1988).
28. Tolstonogov, A. A.: Differential Inclusions in a Banach Space, Mathematics and Its
Applications, vol. 524, Kluwer Academic, Dordrecht, 2000.
29. Tuyen, N. V., Yen, N. D.: On the concept of generalized order optimality, Nonlinear
Analysis 75 (2012), 1592–1601.



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