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On the translations of quasimonotone maps and monotonicity

Abstract

We show that given a convex subset K of a topological vector space X and a multivalued map T:K⇉ X ∗ , if there exists a nonempty subset S of X ∗ with the surjective property on K and T+w is quasimonotone for each w∈S, then T is monotone. Our result is a new version of the result obtained by N. Hadjisavvas (Appl. Math. Lett. 19:913-915, 2006).

1 Introduction and some definitions

Throughout the paper, X and X ∗ denote a real topological vector space and the dual space of X, respectively. Suppose K⊆X is a nonempty subset of X and T:K⇉ X ∗ is a multivalued map from K to X ∗ . Recall that T is said to be monotone if for all x ∗ ∈T(x), y ∗ ∈T(y) one has

〈 x ∗ − y ∗ , x − y 〉 ≥0.

T is said to be pseudomonotone and quasimonotone, in the sense of Karamardian (see [1, 2]), respectively, if for any x ∗ ∈T(x), y ∗ ∈T(y) the following implications hold:

〈 y ∗ , x − y 〉 ≥0⇒ 〈 x ∗ , x − y 〉 ≥0

and

〈 y ∗ , x − y 〉 >0⇒ 〈 x ∗ , x − y 〉 ≥0.

It is clear that a monotone map is pseudomonotone, while a pseudomonotone map is quasimonotone. The converse is not true. If T is pseudomonotone (quasimonotone) and w∈ X ∗ ∖{0}, then T+w is not pseudomonotone (quasimonotone) in general. In the case of a single-valued linear map T defined on the whole space R n , it is known that if T+w is quasimonotone, then T is monotone [2]. Many authors (see, e.g., [4, 5]) extended this result for a nonlinear Gateaux differentiable map defined on a convex subset K (of a Hilbert space) with a nonempty interior.

Recently, Hadjisavvas [3] extended the above result to the multivalued maps defined on a convex subset of a real topological vector space with no assumption of differentiability or even continuity on the map T whose domain need not have a nonempty interior. In this paper, we first introduce the surjective property of a subset of X ∗ on a segment of K. By using this concept, we can extend the corresponding result obtained in [3]. Before stating the main result, we recall some definitions.

Definition 1 Let x, y be two elements of K. We say that S⊆ X ∗ has the surjective property on x and y whenever the following equality holds:

〈S,x−y〉= { 〈 x ∗ , x − y 〉 : x ∗ ∈ S } =R.

Remark that we can consider x−y as a linear functional (denoted by x − y ˆ ) on X ∗ which is defined by

〈 x − y ˆ ,f〉=〈f,x−y〉.

Hence if S has the surjective property on x, y, then the image of S under the linear functional x − y ˆ is all of the real numbers, and that is why we used the phrase surjective property.

Definition 2 Let K⊆X be a nonempty set and S⊆ X ∗ . We say that S has the surjective property on K if for every x∈K there exists y∈K such that S has the surjective property on x and y.

Definition 3[3]

Let K be a convex subset of X. An element v of X ∗ is called perpendicular to K if v is constant on K, i.e.,

〈v,x〉=〈v,y〉,∀x,y∈K.

Also the straight line S={u+tv:t∈R}, where u,v∈ X ∗ with v≠0, is said to be perpendicular to K if v is perpendicular to K.

Remark 1 If K⊆X is a nonempty convex set and u,v∈ X ∗ with v is not perpendicular to K, then the straight line S={u+tv:t∈R} has the surjective property on K. Indeed, let x∈K be an arbitrary member of K. Because v is not perpendicular to K, there exists y∈K such that c=〈v,x−y〉≠0. For each a∈R, we put t= a − 〈 u , x − y 〉 c and so a=〈u+tv,x−y〉. Hence 〈S,x−y〉=R. This means that S has the surjective property. Therefore, v being not perpendicular to K implies the surjective property while the simple example X= R 2 , S={(t,t)=(0,0)+(1,1)t:t∈R} and K={(x,−x):x∈R} shows that the converse does not hold in general. In this example, one can see that S has the surjective property and v=(1,1) is perpendicular to K (note 〈v=(1,1),(x,−x)〉=〈v=(1,1),(y,−y)〉=0). The notion v is not perpendicular to K, which plays a crucial rule in proving the main results in [3]; while in this note, the surjective property has an essential rule in the main result. Hence one can consider this paper as an improvement of [3] (slightly, of course).

We need the following lemma in the sequel.

Lemma 1 Let X be a real topological vector space, K a nonempty convex subset of X andT:K⇉ X ∗ a multivalued map. Supposex,y∈K, S⊆ X ∗ has the surjective property on x, y andT+wis quasimonotone on the line segment[x,y]={tx+(1−t)y:t∈[0,1]}for allw∈S. Then T is monotone on[x,y].

Proof We can define an order on [x,y] as follows:

a⪯b⇔ t 1 ≤ t 2 ,where a=x+ t 1 (y−x),b=x+ t 2 (y−x).

On the contrary, assume T is not monotone on [x,y]. So there exist a,b∈[x,y] and a ∗ ∈T(a), b ∗ ∈T(b) with a≺b and 〈 a ∗ − b ∗ ,a−b〉<0. Hence we have

〈 a ∗ , y − x 〉 > 〈 b ∗ , y − x 〉 .

Since S is surjective on x, y, there exists w∈S such that

〈 a ∗ , y − x 〉 >〈w,x−y〉> 〈 b ∗ , y − x 〉 .

Therefore,

〈 a ∗ + w , y − x 〉 >0, 〈 b ∗ + w , y − x 〉 <0,

which is a contradiction. This completes the proof. □

Now we are ready to present the main result.

Theorem 1 Let X be a real topological vector space, K a nonempty convex subset of X andT:X⇉ X ∗ a multivalued map. AssumeS⊆ X ∗ is connected and has the surjective property on K. IfT+wis quasimonotone for allw∈S, then T is monotone on K.

Proof Let x,y∈K, x ∗ ∈T(x) and y ∗ ∈T(y) be arbitrary elements. If S is surjective on x, y then, by Lemma 1, T is monotone on [x,y] and the proof is complete. Assume S does not have the surjective property on x, y. So S(x−y)≠R. Since S has the surjective property on K, then there exists z∈K such that S is surjective on x, z; and since S is connected, then 〈S,y−z〉 is a connected subset of the real numbers unbounded from above and below, and so it is equal to the real numbers. This means that S has the surjective property on y, z and also on x + y 2 , z. Therefore, it follows from Lemma 1 that T is monotone on [y,z] and [ x + y 2 ,z]. Similarly, T is monotone on the segments [x, z s ] and [y, z s ], for all s∈]0,1[, where z s =sz+(1−s) x + y 2 . Therefore, for any z s ∗ ∈T( z s ) and z ∗ ∈T(z), we have

(1)
(2)
(3)

From (1) and (2), we deduce that

2s 〈 z s ∗ , z − x + y 2 〉 ≥ 〈 x ∗ , z s − x 〉 + 〈 y ∗ , z s − y 〉 .
(4)

Now from z− z s =(1−s)(z− x + y 2 ) and (3), we obtain

〈 z ∗ , z − x + y 2 〉 ≥ 〈 z s ∗ , z − x + y 2 〉 .
(5)

Combining (4) and (5), we have

2s 〈 z ∗ , z − x + y 2 〉 ≥ 〈 x ∗ , z s − x 〉 + 〈 y ∗ , z s − y 〉 .

So if in the previous inequality we tend s→0, then z s → x + y 2 , and hence we deduce

0≥ 〈 x ∗ , y − x 〉 + 〈 y ∗ , y − x 〉 .

This means T is monotone and the proof is now complete. □

Remark 1 shows that Theorem 1 is a new version of Theorem 1 in [3], although our proof is, in fact, completely similar to it.

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Correspondence to S Plubtieng.

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Farajzadeh, A., Karamian, A. & Plubtieng, S. On the translations of quasimonotone maps and monotonicity. J Inequal Appl 2012, 192 (2012). https://doi.org/10.1186/1029-242X-2012-192

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