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–.
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 whichl–F(+∞) = , wherel–f(x) denotes the left
limit of the functionf at the pointx, that is,l–f(x) =limt→x–f(t). The space+is partially
ordered by the usual point-wise ordering of functions,i.e.,F≤Gif 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)whenevera≤candb≤dfor 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 allx∈X,α= ;
(RN) μx+y(t+s)≥T(μx(t),μy(s))for allx,y∈Xand 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.
() A sequence{xn}inXis called aCauchy sequenceif, for every> andλ> , there exists a positive integerNsuch thatμxn–xm() > –λwhenevern≥m≥N.
() 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 xn→x,
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> ,
A∈Mk,n(R),x= [xij]∈Mn(X)andB∈Mn,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:E→Fand 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,y∈X;
() d(x,z)≤d(x,y) +d(y,z)for allx,y,z∈X.
We recall a fundamental result in fixed point theory.
Theorem .([, ]) Let(X,d)be a complete generalized metric space,and let J:X→ X be a strictly contractive mapping with a Lipschitz constantα< .Then,for each given element x∈X,either
dJnx,Jn+x=∞
for all nonnegative integers n or there exists a positive integer nsuch that
() d(Jnx,Jn+x) <∞,∀n≥n ;
() the sequence{Jnx}converges to a fixed pointy∗ofJ;
() y∗is the unique fixed point ofJin the setY={y∈X|d(Jnx,y) <∞}; () d(y,y∗)≤–α d(y,Jy)for ally∈Y.
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 [–]).
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,c∈X.Let f :X→Y 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 a∈X and defines an additive mapping A:X→Y 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,c∈X.
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> anda∈X. Consider the set
and introduce the generalized metric onS:
d(g,h) =inf
ν∈R+:μg(a)–h(a)(νt)≥
t
t+ϕ(a,a, –a),∀a∈X,∀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:S→Ssuch that
Jg(a) := g
a
for alla∈X.
Letg,h∈Sbe given such thatd(g,h) =ε. Then
μg(a)–h(a)(εt)≥ t t+ϕ(a,a)
for alla∈Xandt> . 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 alla∈Xandt> . Sod(g,h) =εimplies thatd(Jg,Jh)≤αε. This means that
d(Jg,Jh)≤αd(g,h)
for allg,h∈S.
It follows from (.) thatd(f,Jf)≤α
.
By Theorem ., there exists a mappingA:X→Ysatisfying the following:
() Ais a fixed point ofJ,i.e.,
A
a
=
A(a)
for alla∈X. The mappingAis a unique fixed point ofJin the set
M=g∈S:d(f,g) <∞.
() d(Jlf,A)→asl→ ∞. This implies the equality
lim l→∞
lf
a
l
=A(a)
() d(f,A)≤–α d(f,Jf), which implies the inequality
d(f,A)≤ α
– α. (.)
By (.),
μlf(a+b
l )–
lf(a
l)–
lf(b
l)
lt≥ t
t+ϕ(al,bl, –a+lb)
for alla,b∈Xandt> . So
μlf(a+b
l )–lf(al)–lf(bl)(t)≥
t
l
t
l + αl
lϕ(a,b, –a–b)
for alla,b∈Xandt> . Sinceliml→∞
t
l t
l+
αl
lϕ(a,b,–a–b)
= for alla,b∈Xandt> ,
μA(a+b)–A(a)–A(b)(t) =
for alla,b∈Xandt> . ThusA(a+b) –A(a) –A(b) = . So the mappingA:X→Y is
additive.
We note thatej∈M,n(R) is thatjth component is and the others are zero,Eij∈Mn(R)
is that (i,j)-component is and the others are zero, andEij⊗x∈Mn(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:X→Y is a unique additive mapping satisfying (.), as
desired.
Corollary . Let r,θbe positive real numbers with r> .Let f :X→Y 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)
for all t> and x= [xij],y= [yij],z= [zij]∈Mn(X).Then A(a) :=liml→∞lf(al)exists for each a∈X and defines an additive mapping A:X→Y 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,c∈X. Then we can chooseα= –rand we get the desired result.
Theorem . Let f :X→Y 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,c∈X.Then A(a) :=liml→∞
lf(la)exists for each a∈X and defines an additive mapping A:X→Y 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:S→Ssuch that
Jg(a) := g
a
for alla∈X.
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 :X→Y be a mapping satisfying(.).Then A(a) :=liml→∞lf(a
l)exists for each a∈X and defines an additive mapping A:X→Y 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
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,c∈X.Let f :X→Y 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 a∈X and defines an additive mapping A:X→Y 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,c∈X.
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> anda∈X.
Let (S,d) be the generalized metric space defined in the proof of Theorem ..
Now we consider the linear mappingJ:S→Ssuch that
Jg(a) := g
a
for alla∈X.
Letg,h∈Sbe given such thatd(g,h) =ε. Then
for alla∈Xandt> . 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 alla∈Xandt> . Sod(g,h) =εimplies thatd(Jg,Jh)≤αε. This means that
d(Jg,Jh)≤αd(g,h) for allg,h∈S.
It follows from (.) thatd(f,Jf)≤α.
By Theorem ., there exists a mappingA:X→Ysatisfying the following:
() Ais a fixed point ofJ,i.e.,
A
a
=
A(a)
for alla∈X. The mappingAis a unique fixed point ofJin the set
M=g∈S:d(f,g) <∞.
() d(Jlf,A)→asl→ ∞. This implies the equality
lim l→∞
lf
a
l
=A(a)
for alla∈X.
() d(f,A)≤–α d(f,Jf), which implies the inequality
d(f,A)≤ α
– α. (.)
By (.),
μlf(a+b
l )–
lf(a
l)–
lf(b
l)
lt≥ t
t+ϕ(al,bl, –al++b)
for alla,b∈Xandt> . So
μlf(a+b
l )–
lf(a
l)–
lf(b
l)
(t)≥
t
l
t
l + αl
lϕ(a,b, –a+b)
for alla,b∈Xandt> . Sinceliml→∞
t
l t
l+
αl
lϕ(a,b,–a–b)
= for alla,b∈Xandt> ,
for alla,b∈Xandt> . ThusA(a+b) –A(a) –A(b) = . So the mappingA:X→Y 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:X→Y is a unique additive mapping satisfying (.), as
desired.
Corollary . Let r,θbe positive real numbers with r> .Let f :X→Y 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 a∈X and defines an additive mapping A:X→Y 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,c∈X. Then we can chooseα= –rand we get the desired result.
Theorem . Let f :X→Y 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,c∈X.Then A(a) :=liml→∞lf(la)exists for each a∈X and defines an additive mapping A:X→Y 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).
Now we consider the linear mappingJ:S→Ssuch that
Jg(a) := g
a
for alla∈X.
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 :X→Y be a mapping satisfying(.).Then A(a) :=liml→∞lf(a
l)exists for each a∈X and defines an additive mapping A:X→Y 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,c∈X. 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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