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R E S E A R C H

Open Access

New convex functions in linear spaces and

Jensen’s discrete inequality

Xiusu Chen

*

*Correspondence:

xousuchen10@sina.com School of Mathematics and Statistics, Chongqing Key laboratory of Electronic Commerce & Supply Chain System, Chongqing Technology and Business University, Chongqing, 400067, P.R. China

Abstract

In the present paper we introduce a new class ofs-convex functions defined on a convex subset of a real linear space, establish some inequalities of Jensen’s type for this class of functions. Our results in special cases yield some of the recent results on classic convex functions.

Keywords: s-Orlicz convex functions;s-convex functions; Jensen’s inequalities

1 Introduction

The research on convexity and generalized convexity is one of the important subjects in mathematical programming, numerous generalizations of convex functions have been proved useful for developing suitable optimization problems (see [–]).s-convex func-tions defined on a space of real numbers was introduced by Orlicz in [] and was used in the theory of Orlicz spaces.s-Orlicz convex sets ands-Orlicz convex mappings in lin-ear spaces were introduced by Dragomir in []. Some properties of inequalities of Jensen’s type for this class of mappings were discussed.

Definition .[] LetXbe a linear space ands∈(,∞). The setKXis calleds-Orlicz

convex inXif the following condition is true:

x,yXandα,β≥ withαs+βs=  imply αx+βyX.

Remark Ifs= , then, by the above definition, we recapture the concept of convex sets in linear spaces.

Definition .[] LetXbe a linear space ands∈(,∞). LetKXbe ans-Orlicz convex set. The mappingf :KRis calleds-Orlicz convex onKif for allx,yKandα,β≥ withαs+βs= , one has the inequality

f(αx+βy)≤αsf(x) +βsf(y). (.)

Note that fors=  we recapture the class of convex functions.

In this paper we introduce another class ofs-convex functions defined on convex sets in a linear space. Some discrete inequalities of Jensen’s type are also obtained.

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2 The relations amongs-convex functions,s-Orlicz convex functions and convex functions in linear spaces

LetXbe a linear space ands∈(,∞) be a fixed positive number, letKXbe a convex subset. It is natural to consider the following class of functions.

Definition . The mappingf:KRis calleds-convex onKif

f(αx+βy)≤αsf(x) +βsf(y) (.)

for allx,yKandα,β≥ withα+β= .

Remark . Ifs= , then, by the above definition, we recapture the concept of convex functions in linear spaces.

Remark . s-convex functions defined on a convex set in linear spaces are different from convex functions.

() There exists-convex mappings in linear spaces which are not convex for some

s∈(,∞)|{}(see the following Example ).

() When <s≤, every non-negative convex function defined on a convex set in a linear space is also ans-convex function. Whens≥, every non-positive convex function defined on a convex set in a linear space is also ans-convex function.

Example  Let X be a normed linear space, letK=Xand  <s≤, definef(x) =xsfor allxK. For everyx,yKandα,β≥ withα+β= , whenαx= , eitherα=  or

x= , therefore,αx= , and

f(αx+βy) =f(βy) =βys=βsys=βsf(y);

whenαx = , from the monotonous increasing of the functiong(t) =  +ts– ( +t)sin

the interval [,∞), we haveg(t) =  +ts– ( +t)sg() = ,t> , then

f(αx+βy) =αx+βysαx+βys=αsxs

 +βy

αx s

αsxs

 +

βy

αx

s

=αsxs+βsys=αsf(x) +βsf(y),

hencef is ans-convex function onX; however,f is not a convex function onXwith  <

s< .

Remark . There exists-Orlicz convex functions in linear spaces which are nots-convex functions for somes∈(,∞)|{}.

Example   <s≤,K=R. Consider the setK={(x,y)R:|x|s+|y|s} ⊂R. Let

X= (x,y),X= (x,y)∈K, and letα,β≥ withαs+βs= . Then

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which imply

|αx+βx|s

α|x|+β|x|

s

=

α|x|

 +β|x|

α|x|

s

=α|x|

s

 +β|x|

α|x|

s

α|x|

s

 +

β|x|

α|x|

s

=α|x|

s

+β|x|

s

αs|x|s+βs|x|s

and

|αy+βy|sαs|y|s+βs|y|s.

As

αX+βX= (αx+βx,αy+βy) and

|αx+βx|s+|αy+βy|sαs|x|s+βs|x|s+αs|y|s+βs|y|s =αs|x|s+|y|s

+βs|x|s+|y|s

=αs+βs= ,

we deduce thatαX+βX∈K,i.e.,Kiss-Orlicz convex inR.

Definef(u) = (x+y)s,u= (x,y)K, we will show thatfis ans-Orlicz convex function,

f is not ans-convex function, forKis not a convex subset when  <s< . Sinceu= (, )∈

K,v= (, )∈K, but u+v= (,) /∈Kfor ()s+ ()s=s>  with  <s< .

3 Properties ofs-convex functions in linear spaces

We consider the following properties ofs-convex functions in linear spaces.

Theorem . Let KX be a convex set,fi:KR be s-convex functions,i= , , . . . ,n.

Then

() h(x) =max≤infi(x)is ans-convex function onK.

() af(x) +bf(x)is ans-convex function onKfor alla,b≥.

The proof is omitted.

Proposition . Let f :KR be an s-convex function on K andγR so that Kγ(f) =

{xK:f(x)≤γ}is nonempty.Then Kγ(f)is a convex subset of K when either one of the

following two conditions is satisfied:

() γ ≥ands≥, () γ ≤and >s> .

Proof Letx,x∈(f) andα,β≥ so thatα+β= . Thenf(x)≤γ andf(x)≤γ which imply that

f(αx+βx)≤αsf(x) +βsf(x)≤αsγ +βsγ=

αs+βsγ.

Thenf(αx+βx)≤(αs+βs)γγ when either one of () and () is satisfied, which shows

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Theorem . Let X be a linear space,let KX be a convex set,mapping f :KR,the

following statements are equivalent:

() f is ans-convex function onK.

() For everyx,x, . . . ,xnKand non-negative real numberα,α, . . . ,αnwith

n

i=αi= ,we have that

f

n

i=

αixi

n

i=

αisf(xi). (.)

Proof ()⇒(). This is obvious.

()⇒(). We will prove by induction overnN,n≥. For n= , the inequality is obvious by Definition .. Suppose that the above inequality is valid for alln– . For natural numbern, letx,x, . . . ,xnKandα,α, . . . ,αn≥ with

n

i=αi= .

If there is someαi= , then delete the numberαiand for the remainingn–  number,

inequality (.) is obvious by using the inductive hypothesis. Now supposeαi= ,∀i= , . . . ,n, letβ =

n–

i= αi,β=αn,y=β

n–

i= αixi, y=xn,

sinceni=–αiβ

= . Using the inductive hypothesis, we have

f(y) =f n–

i=

αi

β

xi

n–

i=

αi

β

s

f(xi) = 

βs

n–

i=

αisf(xi).

Then

f

n

i=

αixi

=f(βy+βy)≤βsf(y) +βsf(xi)

n–

i=

αisf(xi) +αnsf(xn) =

n

i=

αsif(xi),

and the theorem is proved.

The following corollaries are different formulations of the above inequalities of Jensen’s type.

Corollary . Let f :KR be an s-convex function,α,α, . . . ,αnbe non-negative real numbers,Pn=ni=αi> .For every x,x, . . . ,xnK,we have that

f

Pn n

i=

αixi

≤ 

Ps n

n

i=

αsif(xi).

Corollary . Let f :KR be an s-convex function,x,x, . . . ,xnK,then we have

f

n n

i=

xi

≤ 

ns n

i=

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Corollary . Let f :KR be an s-convex function,x,x, . . . ,xnK.For every

non-negative real numberα,α, . . . ,αn,when Qn=

n

i=α

s

i > ,then we have

fQn n i= αs i xi ≤  Qs n n i=

αif(xi).

We consider the following function:

θ(I,P,f,x) :=

iI

αisf(xi) –

iI

αi s fiIαi

iI

αixi

,

whereαi> ,iI,f is an s-convex function on the convex set K,xiK,iI,IP(N), where P(N)denotes the finite subsets of the natural number set N.

Theorem . Let f :KR be an s-convex function,αi> ,xiK,iN,then

() ∀I,JP(N),IJ=,we have that

θ(IJ,P,f,x)≥θ(I,P,f,x) +θ(J,P,f,x)≥; (.)

() ∀I,JP(N),=JI,we have

θ(I,P,f,x)≥θ(J,P,f,x)≥, (.) that is,the mappingθ(I,P,f,x)is monotonic non-decreasing in the first variable onP(N).

Proof () Let∀I,JP(N),IJ=. Then we have

θ(IJ,P,f,x) =

iI

αsif(xi) +

iJ

αisf(xi) –

iIJ

αi s

f

iIαixi+

iJαixi

iIJαi

=

iI

αsif(xi) +

iJ

αisf(xi)

iIJ

αi s

f iIαi iIJαi

iIαixi

iIαi

+

iJαi

iIJαi

iJαixi

iJαi

iI

αsif(xi) –

iI

αi s

f

iIαixi

iIαi

+

iJ

αsif(xi) –

iJ

αi s

f

iJαixi

iJαi

=θ(I,P,f,x) +θ(J,P,f,x) and inequality (.) is proved.

() Suppose thatI,JP(N), with=JIandJ=I. With the above assumptions, consider the sequence

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whence we get

θ(I,P,f,x) –θ(J,P,f,x)≥θ(I|J,P,f,x)≥

and inequality (.) is proved.

With the above assumptions, consider the sequence

θn:= n

i=

αisf(xi) –

n i= αi s fn

i=αi n

i=

αixi

, n> .

Corollary . With the above assumptions,

θnθn–≥ · · · ≥θ≥

i.e.,the sequenceθnis non-decreasing and one has the inequality

θn≥ max

≤ijn

αisf(xi) +αjsf(xj) – (αi+αj)sf

αixi+αjxj

αi+αj

≥.

Theorem . Let f :KXR be an s-convex function,andαi≥so that

n

i=αi= . Let xijX, ≤i,jn.Then one has the inequalities

n

i=

αisαsjf(xij)≥max{A,B} ≥min{A,B} ≥f

n

i=

αiαjxij

, (.)

where A:=ni=αisf(nj=αjxij),B:=nj=αsjf(ni=αixij).

Theorem . Let f:KXR be an s-convex function,andαi≥so that

n

i=αi= . Then,for everyα,β≥,withα+β= ,we have

()

n

j=

αjs

αs+βs

n

i=

αisf(xi)≥

n

i,j=

αsiαjsf(αxi+βxj),

()

n

i,j=

αijsf(αxi+βxj)≥s–

n

i,j=

αisαsjf

xi+xj

 , () n

i,j=

αijsf

xi+xj

 ≥f n i= αixi ,

() αs+βs

n

i=

αif(xi)≥ n

i,j=

αiαjf(αxi+βxj).

Proof By thes-convexity off, we can state

f(αxi+βxj)≤αsf(xi) +βsf(xj)

n

i,j=

αijsf(αxi+βxj)≤αs

n

i,j=

αisαsjf(xi) +βs

n

i,j=

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=αs

n

j=

αsj

n

i=

αsif(xi) +βs

n

i=

αis

n

j=

αjsf(xj)

=

n

j=

αsj

αs+βs

n

i=

αisf(xi).

We get the first inequality () in Theorem .. By the following inequality

f

xi+xj

=f

αxi+βxj+αxj+βxi

≤ 

s

f(αxi+βxj) +f(αxj+βxi)

,

we have

n

i,j=

αisαsjf

xi+xj

 ≤  s n

i,j=

αisαsjf(αxi+βxj) +

n

i,j=

αisαsjf(αxj+βxi)

=  s–

n

i,j=

αijsf(αxi+βxj)

.

We get the second inequality () in Theorem .. Letxij=xi+xj, by the inequality in Theorem ., we have

n

i,j=

αisαsjf

xi+xj

f

n

i,j=

αiαj xi+xj

 =f n i= αixi ,

i.e., inequality () is obtained.

n

i,j=

αiαjf(αxi+βxj)≤ n

i,j=

αiαjαsf(xi) + n

i,j=

αiαjβsf(xj)

=αs+βs

n

i=

αif(xi)

i.e., inequality () is proved.

Competing interests

The author declares that they have no competing interests.

Acknowledgements

The author has greatly benefited from the referee’s report. So I wish to express our gratitude to the reviewer and the associate editor SS Dragomir for their valuable suggestions which improved the content and presentation of the paper. The work was supported by the project of Chongqing Municipal Education Commission (No. KJ090732) and special fund project of Chongqing Key laboratory of Electronic Commerce & Supply Chain System (CTBU).

Received: 20 March 2013 Accepted: 30 August 2013 Published:07 Nov 2013 References

1. Chen, XS: Some properties of semi E-convex functions. J. Math. Anal. Appl.275, 251-262 (2002)

2. Youness, EA: E-convex sets, E-convex functions and E-convex programming. J. Optim. Theory Appl.102, 439-450 (1999)

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4. Orlicz, W: A note on modular spaces, I. Bull. Acad. Pol. Sci., Sér. Sci. Math. Astron. Phys.9, 157-162 (1961) 5. Dragomir, SS:s-Orlicz convex functions in linear spaces and Jensen’s discrete inequality. J. Math. Anal. Appl.210,

419-439 (1997)

10.1186/1029-242X-2013-472

References

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