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R E S E A R C H

Open Access

Stability of functional inequalities in matrix

random normed spaces

Jung Rye Lee

*

*Correspondence: [email protected]

Department of Mathematics, Daejin University, Kyeonggi, 487-711, Korea

Abstract

In this paper, we prove the Hyers-Ulam stability of the Cauchy additive functional inequality and the Cauchy-Jensen additive functional inequality in matrix random normed spaces by using the fixed point method.

MSC: 47L25; 46S50; 47S50; 39B52; 54E70; 39B82

Keywords: operator space; matrix random normed space; functional inequality; Hyers-Ulam stability; fixed point method

1 Introduction

The abstract characterization given for linear spaces of bounded Hilbert space operators

in terms ofmatricially normed spaces[] implies that quotients, mapping spaces and

var-ious tensor products of operator spaces may again be regarded as operator spaces. The proof given in [] appealed to the theory of ordered operator spaces []. Effros and Ruan [] showed that one can give a purely metric proof of this important theorem by using a technique of Pisier [] and Haagerup []. The theory of operator spaces has an increasingly significant effect on operator algebra theory (see [, ]).

The stability problem of functional equations originated from a question of Ulam [] concerning the stability of group homomorphisms. The functional equation

f(x+y) =f(x) +f(y)

is called the Cauchy additive functional equation. In particular, every solution of the

Cauchy additive functional equation is said to be anadditive mapping. Hyers [] gave the

first affirmative partial answer to the question of Ulam for Banach spaces. Hyers’ theorem was generalized by Aoki [] for additive mappings and by Rassias [] for linear mappings by considering an unbounded Cauchy difference. A generalization of the Rassias theorem was obtained by Găvruta [] by replacing the unbounded Cauchy difference by a general control function in the spirit of Rassias’ approach.

In [], Gilányi showed that iff satisfies the functional inequality

f(x) + f(y) –fxy–≤f(xy),

thenf satisfies the Jordan-von Neumann functional equation

f(x) + f(y) =f(xy) +fxy–.

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See also []. Gilányi [] and Fechner [] proved the Hyers-Ulam stability of the above functional inequality.

Parket al.[] proved the Hyers-Ulam stability of the following functional inequalities:

f(x) +f(y) +f(z)≤f(x+y+z), (.)

f(x) +f(y) + f(z)≤f

x+y

 +z

. (.)

In the sequel, we adopt the usual terminology, notations and conventions of the theory

of random normed spaces, as in [–]. Throughout this paper,+is the space of

dis-tribution functions, that is, the space of all mappingsF:R∪ {–∞,∞} →[, ] such that

Fis left-continuous and non-decreasing onR,F() =  andF(+∞) = .D+is a subset of

+consisting of all functionsF+for whichlF(+) = , wherelf(x) denotes the left

limit of the functionf at the pointx, that is,lf(x) =limt→xf(t). The space+is partially

ordered by the usual point-wise ordering of functions,i.e.,FGif and only ifF(t)≤G(t)

for alltinR. The maximal element for+ in this order is the distribution functionε

given by

ε(t) = ⎧ ⎨ ⎩

 ift≤,

 ift> .

Definition .([]) A mappingT: [, ]×[, ]→[, ] is a continuous triangular norm

(briefly, a continuoust-norm) ifTsatisfies the following conditions:

(a) T is commutative and associative; (b) T is continuous;

(c) T(a, ) =afor alla∈[, ];

(d) T(a,b)≤T(c,d)wheneveracandbdfor alla,b,c,d∈[, ].

Definition . ([]) Arandom normed space(briefly, RN-space) is a triple (X,μ,T),

where Xis a vector space,T is a continuoust-norm andμis a mapping from Xinto

D+such that the following conditions hold:

(RN) μx(t) =ε(t)for allt> if and only ifx= ;

(RN) μαx(t) =μx(|αt|)for allxX,α= ;

(RN) μx+y(t+s)≥T(μx(t),μy(s))for allx,yXand allt,s≥.

Every normed space (X, · ) defines a random normed space (X,μ,TM), where

μx(t) =

t t+ x

for allt> , andTM is the minimum t-norm. This space is called the induced random

normed space.

Definition . Let (X,μ,T) be an RN-space.

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() A sequence{xn}inXis called aCauchy sequenceif, for every> andλ> , there exists a positive integerNsuch thatμxnxm() >  –λwhenevernmN.

() An RN-space(X,μ,T)is said to becompleteif and only if every Cauchy sequence in

Xis convergent to a point inX.

Theorem .([]) If(X,μ,T)is an RN-space and{xn}is a sequence such that xnx,

thenlimn→∞μxn(t) =μx(t)almost everywhere.

We introduce the concept of matrix random normed space.

Definition . Let (X,μ,T) be a random normed space. Then

() (X,{μ(n)},T)is called amatrix random normed spaceif for each positive integern, (Mn(X),μ(n),T)is a random normed space andμ(AxBk) (t)≥μ

(n)

x ( A · B t )for allt> ,

AMk,n(R),x= [xij]∈Mn(X)andBMn,k(R)with A · B = .

() (X,{μ(n)},T)is called amatrix random Banach spaceif(X,μ,T)is a random

Banach space and(X,{μ(n)},T)is a matrix random normed space.

LetE,Fbe vector spaces. For a given mappingh:EFand a given positive integern,

definehn:Mn(E)→Mn(F) by

hn

[xij]

=h(xij)

for all [xij]∈Mn(E).

LetXbe a set. A functiond:X×X→[,∞] is called ageneralized metriconXifd

satisfies

() d(x,y) = if and only ifx=y; () d(x,y) =d(y,x)for allx,yX;

() d(x,z)≤d(x,y) +d(y,z)for allx,y,zX.

We recall a fundamental result in fixed point theory.

Theorem .([, ]) Let(X,d)be a complete generalized metric space,and let J:XX be a strictly contractive mapping with a Lipschitz constantα< .Then,for each given element xX,either

dJnx,Jn+x=∞

for all nonnegative integers n or there exists a positive integer nsuch that

() d(Jnx,Jn+x) <,nn ;

() the sequence{Jnx}converges to a fixed pointyofJ;

() yis the unique fixed point ofJin the setY={yX|d(Jnx,y) <∞}; () d(y,y∗)≤–αd(y,Jy)for allyY.

The stability problem in a random normed space was considered by Mihet and Radu []; next some authors proved some stability results in random normed spaces by differ-ent methods (see [–]).

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using fixed point methods, the stability problems of several functional equations have been extensively investigated by a number of authors (see [–]).

Throughout this paper, letXbe a normed space and (Y,{μ(n)},T) be a matrix random

Banach space. In Section , we prove the Hyers-Ulam stability of the Cauchy additive func-tional inequality (.) in matrix normed spaces by using the direct method. In Section , we prove the Hyers-Ulam stability of the Cauchy-Jensen additive functional inequality (.) in matrix normed spaces by using the fixed point method.

2 Hyers-Ulam stability of the Cauchy additive functional inequality

In this section, we prove the Hyers-Ulam stability of the Cauchy additive functional in-equality (.) in matrix random normed spaces by using the fixed point method.

Theorem . Letϕ:X[,)be a function such that there existsα< with

ϕ(a,b,c)≤α

ϕ(a, b, c)

for all a,b,cX.Let f :XY be an odd mapping satisfying

μ(fn)

n([xij])+fn([yij])+fn([zij])(t)≥min

μ(fn)

n([xij+yij+zij])

t

, t

t+ni,j=ϕ(xij,yij,zij)

(.)

for all t> and x= [xij],y= [yij],z= [zij]∈Mn(X).Then A(a) :=liml→∞lf(al)exists for each aX and defines an additive mapping A:XY such that

μfn([xij])–An([xij])(t)≥

( –α)t

( –α)t+nαn

i,j=ϕ(xij,xij, –xij)

(.)

for all t> and x= [xij]∈Mn(X).

Proof Letn= . Then (.) is equivalent to

μf(a)+f(b)+f(c)(t)≥min

μf(a+b+c)

t

, t

t+ϕ(a,b,c)

(.)

for allt>  anda,b,cX.

Lettingb=aandc= –ain (.), we get

μf(a)–f(a)(t)≥

t

t+ϕ(a,a, –a), (.)

and so

μf(a)–f(a)(t)≥ t

t+ϕ(a,a, –a)≥

t

t+αϕ(a,a, –a) (.)

for allt>  andaX. Consider the set

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and introduce the generalized metric onS:

d(g,h) =inf

ν∈R+:μg(a)–h(a)(νt)≥

t

t+ϕ(a,a, –a),∀aX,∀t> 

,

where, as usual,infφ= +∞. It is easy to show that (S,d) is complete (see the proof of [,

Lemma .]).

Now we consider the linear mappingJ:SSsuch that

Jg(a) := g

a

for allaX.

Letg,hSbe given such thatd(g,h) =ε. Then

μg(a)–h(a)(εt)≥ t t+ϕ(a,a)

for allaXandt> . Hence

μJg(a)–Jh(a)(αεt) =μg(a)–h(a)(αεt) =μg(a)–h(a)

α

εt

αt

αt

 +ϕ(

a

,

a

, –a) ≥

αt

αt

 + α

ϕ(a,a, –a)

= t

t+ϕ(a,a, –a)

for allaXandt> . Sod(g,h) =εimplies thatd(Jg,Jh)≤αε. This means that

d(Jg,Jh)≤αd(g,h)

for allg,hS.

It follows from (.) thatd(f,Jf)≤α

.

By Theorem ., there exists a mappingA:XYsatisfying the following:

() Ais a fixed point ofJ,i.e.,

A

a

=

A(a)

for allaX. The mappingAis a unique fixed point ofJin the set

M=gS:d(f,g) <∞.

() d(Jlf,A)→asl→ ∞. This implies the equality

lim l→∞

lf

a

l

=A(a)

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() d(f,A)≤–αd(f,Jf), which implies the inequality

d(f,A)≤ α

 – α. (.)

By (.),

μlf(a+b

l )–

lf(a

l)–

lf(b

l)

ltt

t+ϕ(al,bl, –a+lb)

for alla,bXandt> . So

μlf(a+b

l )–lf(al)–lf(bl)(t)≥

t

l

t

l + αl

(a,b, –ab)

for alla,bXandt> . Sinceliml→∞

t

l t

l+

αl

lϕ(a,b,–ab)

=  for alla,bXandt> ,

μA(a+b)–A(a)–A(b)(t) = 

for alla,bXandt> . ThusA(a+b) –A(a) –A(b) = . So the mappingA:XY is

additive.

We note thatejM,n(R) is thatjth component is  and the others are zero,EijMn(R)

is that (i,j)-component is  and the others are zero, andEijxMn(X) is that (i,j

)-component isxand the others are zero. Sinceμ(En)

kl⊗x(t) =μx(t), we have

μ([nx)

ij](t) =μ (n) n

i,j=Eij⊗xij(t)≥min

μ(En)

ij⊗xij(tij) :i,j= , , . . . ,n

=minμxij(tij) :i,j= , , . . . ,n

,

wheret=ni,j=tij. Soμ([nxij)](t)≥min{μxij(

t

n) :i,j= , , . . . ,n}.

By (.),

μ(fn)

n([xij])–An([xij])(t)≥min

μf(xij)–A(xij)

t n

:i,j= , , . . . ,n

≥min

( –α)t

( –α)t+nαϕ(x

ij,xij, –xij)

:i,j= , , . . . ,n

≥ ( –α)t

( –α)t+nαn

i,j=ϕ(xij,xij, –xij)

for allx= [xij]∈Mn(X). ThusA:XY is a unique additive mapping satisfying (.), as

desired.

Corollary . Let r,θbe positive real numbers with r> .Let f :XY be an odd mapping satisfying

μ(fn)

n([xij])+fn([yij])+fn([zij])(t)

≥min

μ(fn)

n([xij+yij+zij])

t

, t

t+ni,j=θ( xij r+ yij r+ zij r)

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for all t> and x= [xij],y= [yij],z= [zij]∈Mn(X).Then A(a) :=liml→∞lf(al)exists for each aX and defines an additive mapping A:XY such that

μfn([xij])–An([xij])(t)≥

(r– )t (r– )t+n( + r)n

i,j=θ xij r

for all t> and x= [xij]∈Mn(X).

Proof The proof follows from Theorem . by takingϕ(a,b,c) =θ( a r+ b r+ c r) for

alla,b,cX. Then we can chooseα= –rand we get the desired result.

Theorem . Let f :XY be an odd mapping satisfying(.)for which there exists a functionϕ:X[,)such that there existsα< with

ϕ(a,b,c)≤αϕ

a

,

b

,

c

for all a,b,cX.Then A(a) :=liml→∞

lf(la)exists for each aX and defines an additive mapping A:XY such that

μfn([xij])–An([xij])(t)≥

( –α)t

( –α)t+nn

i,j=ϕ(xij,xij, –xij)

for all t> and x= [xij]∈Mn(X).

Proof Let (S,d) be the generalized metric space defined in the proof of Theorem ..

Now we consider the linear mappingJ:SSsuch that

Jg(a) := g

a

for allaX.

It follows from (.) thatd(f,Jf)≤. So

d(f,A)≤   – α.

The rest of the proof is similar to the proof of Theorem ..

Corollary . Let r,θ be positive real numbers with r< .Let f :XY be a mapping satisfying(.).Then A(a) :=liml→∞lf(a

l)exists for each aX and defines an additive mapping A:XY such that

μfn([xij])–An([xij])(t)≥

( – r)t ( – r)t+n( + r)n

i,j=θ xij r

for all t> and x= [xij]∈Mn(X).

Proof The proof follows from Theorem . by takingϕ(a,b,c) =θ( a r+ b r+ c r) for

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3 Hyers-Ulam stability of the Cauchy-Jensen additive functional inequality

In this section, we prove the Hyers-Ulam stability of Cauchy-Jensen additive functional inequality (.) in matrix random normed spaces by using the fixed point method.

Theorem . Letϕ:X[,)be a function such that there existsα< with

ϕ(a,b,c)≤α

ϕ(a, b, c)

for all a,b,cX.Let f :XY be an odd mapping satisfying

μ(fn)

n([xij])+fn([yij])+fn([zij])(t)

≥min

μ(n)

fn([xij+yij+zij])

t

, t

t+ni,j=ϕ(xij,yij,zij)

(.)

for all t> and x= [xij],y= [yij],z= [zij]∈Mn(X).Then A(a) :=liml→∞lf(al)exists for each aX and defines an additive mapping A:XY such that

μfn([xij])–An([xij])(t)≥

( –α)t

( –α)t+nαn

i,j=ϕ(xij,xij, –xij)

(.)

for all t> and x= [xij]∈Mn(X).

Proof Letn= . Then (.) is equivalent to

μf(a)+f(b)+f(c)(t)≥min

μf(a+b

 +c)

t

, t

t+ϕ(a,b,c)

(.)

for allt>  anda,b,cX.

Lettingb=aandc= –ain (.), we get

μf(a)–f(a)(t)≥ t

t+ϕ(a,a, –a), (.)

and so

μf(a)–f(a)(t)≥ t

t+ϕ(a,a, –a)≥

t

t+αϕ(a,a, –a) (.)

for allt>  andaX.

Let (S,d) be the generalized metric space defined in the proof of Theorem ..

Now we consider the linear mappingJ:SSsuch that

Jg(a) := g

a

for allaX.

Letg,hSbe given such thatd(g,h) =ε. Then

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for allaXandt> . Hence

μJg(a)–Jh(a)(αεt) =μg(a)–h(a)(αεt) =μg(a)–h(a)

α

εt

αt

αt

 +ϕ(

a

,

a

, –

a

) ≥

αt

αt

 + α

ϕ(a,a, –a)

= t

t+ϕ(a,a, –a)

for allaXandt> . Sod(g,h) =εimplies thatd(Jg,Jh)≤αε. This means that

d(Jg,Jh)≤αd(g,h) for allg,hS.

It follows from (.) thatd(f,Jf)≤α.

By Theorem ., there exists a mappingA:XYsatisfying the following:

() Ais a fixed point ofJ,i.e.,

A

a

=

A(a)

for allaX. The mappingAis a unique fixed point ofJin the set

M=gS:d(f,g) <∞.

() d(Jlf,A)asl→ ∞. This implies the equality

lim l→∞

lf

a

l

=A(a)

for allaX.

() d(f,A)≤–αd(f,Jf), which implies the inequality

d(f,A)≤ α

 – α. (.)

By (.),

μlf(a+b

l )–

lf(a

l)–

lf(b

l)

ltt

t+ϕ(al,bl, –al++b)

for alla,bXandt> . So

μlf(a+b

l )–

lf(a

l)–

lf(b

l)

(t)≥

t

l

t

l + αl

(a,b, –a+b)

for alla,bXandt> . Sinceliml→∞

t

l t

l+

αl

lϕ(a,b,–ab)

=  for alla,bXandt> ,

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for alla,bXandt> . ThusA(a+b) –A(a) –A(b) = . So the mappingA:XY is additive.

By (.),

μ(fn)

n([xij])–An([xij])(t)≥min

μf(xij)–A(xij)

t n

:i,j= , , . . . ,n

≥min

( –α)t

( –α)t+nαϕ(x

ij,xij, –xij)

:i,j= , , . . . ,n

≥ ( –α)t

( –α)t+nαn

i,j=ϕ(xij,xij, –xij)

for allx= [xij]∈Mn(X). ThusA:XY is a unique additive mapping satisfying (.), as

desired.

Corollary . Let r,θbe positive real numbers with r> .Let f :XY be an odd mapping satisfying

μ(fn)

n([xij])+fn([yij])+fn([zij])(t)

≥min

μ(n)

fn([xij+yij+zij])

t

, t

t+ni,j=θ( xij r+ yij r+ zij r)

(.)

for all t> and x= [xij],y= [yij],z= [zij]∈Mn(X).Then A(a) :=liml→∞lf(al)exists for each aX and defines an additive mapping A:XY such that

μfn([xij])–An([xij])(t)≥

(r– )t

(r– )t+ nn

i,j=θ xij r

for all t> and x= [xij]∈Mn(X).

Proof The proof follows from Theorem . by takingϕ(a,b,c) =θ( a r+ b r+ c r) for

alla,b,cX. Then we can chooseα= –rand we get the desired result.

Theorem . Let f :XY be an odd mapping satisfying(.)for which there exists a functionϕ:X[,)such that there existsα< with

ϕ(a,b,c)≤αϕ

a

,

b

,

c

for all a,b,cX.Then A(a) :=liml→∞lf(la)exists for each aX and defines an additive mapping A:XY such that

μfn([xij])–An([xij])(t)≥

( –α)t

( –α)t+nn

i,j=ϕ(xij,xij, –xij)

for all t> and x= [xij]∈Mn(X).

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Now we consider the linear mappingJ:SSsuch that

Jg(a) := g

a

for allaX.

It follows from (.) thatd(f,Jf)≤. So

d(f,A)≤   – α.

The rest of the proof is similar to the proof of Theorem ..

Corollary . Let r,θ be positive real numbers with r< .Let f :XY be a mapping satisfying(.).Then A(a) :=liml→∞lf(a

l)exists for each aX and defines an additive mapping A:XY such that

μfn([xij])–An([xij])(t)≥

( – r)t ( – r)t+ nn

i,j=θ xij r

for all t> and x= [xij]∈Mn(X).

Proof The proof follows from Theorem . by takingϕ(a,b,c) =θ( a r+ b r+ c r) for

alla,b,cX. Then we can chooseα= r–and we get the desired result.

Competing interests

The author declares that she has no competing interests.

Received: 15 July 2013 Accepted: 29 October 2013 Published:27 Nov 2013

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10.1186/1029-242X-2013-569

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