Volume 2010, Article ID 328473,16pages doi:10.1155/2010/328473
Research Article
On the Stability of a General Mixed Additive-Cubic
Functional Equation in Random Normed Spaces
Tian Zhou Xu,
1John Michael Rassias,
2and Wan Xin Xu
31Department of Mathematics, School of Science, Beijing Institute of Technology, Beijing 100081, China 2Pedagogical Department E.E., Section of Mathematics and Informatics, National and
Kapodistrian University of Athens, 4, Agamemnonos Str., Aghia Paraskevi, 15342 Athens, Greece
3School of Communication and Information Engineering, University of Electronic Science and
Technology of China, Chengdu 611731, China
Correspondence should be addressed to Tian Zhou Xu,[email protected]
Received 6 June 2010; Revised 1 August 2010; Accepted 23 August 2010
Academic Editor: Radu Precup
Copyrightq2010 Tian Zhou Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
We prove the generalized Hyers-Ulam stability of the following additive-cubic equationfkx y fkx−y kfxy kfx−y 2fkx−2kfxin the setting of random normed spaces.
1. Introduction
A basic question in the theory of functional equations is as follows: when is it true that a function, which approximately satisfies a functional equation, must be close to an exact solution of the equation?
If the problem accepts a unique solution, we say the equation is stablesee1. The first stability problem concerning group homomorphisms was raised by Ulam2in 1940 and affirmatively solved by Hyers3. The result of Hyers was generalized by Rassias4 for approximate linear mappings by allowing the Cauchy difference operatorCDfx, y fxy−fxfyto be controlled byxpyp. In 1994, a generalization of Rassias’
theorem was obtained by G˘avrut¸a 5, who replaced xp yp by a general control
The theory of random normed spacesRN-spaces is important as a generalization of deterministic result of linear normed spaces and also in the study of random operator equations. The RN-spaces may also provide us the appropriate tools to study the geometry of nuclear physics and have important application in quantum particle physicssee17and the references therein. The generalized Hyers-Ulam stability of different functional equations in random normed spaces, fuzzy normed spaces, and non-Archimedean fuzzy normed spaces has been recently studied in14–28.
Najati and Eskandani29established the general solution and investigated the Ulam-Hyers stability of the following functional equation.
f2xyf2x−y2fxy2fx−y2f2x−4fx, 1.1
withf0 0 in the quasi-Banach spaces. It is easy to see that the mappingfx ax3bxis a solution of the functional equation1.1, which is called a mixed additive-cubic functional equation, and every solution of the mixed additive-cubic functional equation is said to be a mixed additive-cubic mapping.
In 14–16, we considered the following general mixed additive-cubic functional equation:
fkxyfkx−ykfxykfx−y2fkx−2kfx. 1.2
It is easy to show that the functionfx ax3bxsatisfies the functional equation1.2. We observe that in casek21.2yields mixed additive-cubic equation1.1. Therefore,1.2is a generalized form of the mixed additive-cubic equation.
In the present paper, we first prove a theorem on stability of equation gax asgx a, s ∈ N, a ≥ 2in random normed spaces and derive from it results on stability of equationf4x 10f2x−16fx. Next, use those results to establish Ulam-Hyers stability for the general mixed additive-cubic functional equation 1.2 in the setting of random normed spaces. In this way some results will be obtained on stability of the linear functional equations also for the random normed spaces, which correspond, for example, to the papers
30–33.
2. Preliminaries
In the sequel we adopt the usual terminology, notations and conventions of the theory of random normed spaces, as in 17,28. Throughout this paper, the space of all probability distribution functions is denoted by
ΔF:R∪ {−∞,∞} → 0,1:F is left-continuous and nondecreasing onR
and F0 0, F∞ 1}, 2.1
ordering of functions, that is,F ≤ G if and only ifFt ≤ Gtfor all t ∈ R. The maximal element forΔin this order is the distribution function given by
ε0t
⎧ ⎨ ⎩
0, ift≤0,
1, ift >0. 2.2
Definition 2.1see17,28. A functionT :0,1×0,1 → 0,1is a continuous triangular normbriefly, a continuoust-normifTsatisfies the following conditions:
aTis commutative and associative;
bTis continuous;
cTa,1 afor alla∈0,1;
dTa, b≤ Tc, dwhenevera≤candb≤dfor alla, b, c, d∈0,1.
Typical examples of continuoust-norms areTPa, b ab,TMa, b mina, band TLa, b maxab−1,0 the Lukasiewiczt-norm.
Now, ifTis at-norm and{xi}is a given sequence of numbers in0,1, we define a
sequenceTn recursively by T1
i1x1 x1 andTin1xi TTin−11xi, xn for alln ≥ 2.T∞inxi is
defined asT∞i1xni.
Definition 2.2see17,28. A random normed spacebriefly, RN-spaceis a tripleX, μ,T, whereXis a vector space,Tis a continuoust-norm, andμis a mapping fromXintoDsuch that the following conditions hold:
RN1μxt ε0tfor allt >0 if and only ifx0;
RN2μαxt μxt/|α|for allxinX,α /0 and allt≥0;
RN3μxyts≥ Tμxt, μysfor allx, y∈Xand allt, s≥0.
Example 2.3. Let X, · be a normed space. For all x ∈ X and t > 0, consider μxt t/tx. ThenX, μ,TMis a random normed space, whereTMis the minimumt-norm.
This space is called the induced random normed space.
Definition 2.4. LetX, μ,Tbe an RN-space.
1A sequence{xn}inXis said to be convergent to a pointx∈Xif, for everyt >0 and
ε >0, there exists a positive integerNsuch thatμxn−xt>1−εwhenevern≥N.
2A sequence{xn}inXis called a Cauchy sequence if, for everyt >0 andε >0, there
exists a positive integerNsuch thatμxn−xmt>1−εwhenevern≥m≥N.
3. On the Stability of a General Mixed Additive-Cubic Equation
in RN-Spaces
Theorem 3.1. Lets, a∈Nwitha≥2,Xbe a linear space,Y, μ,TMbe a complete RN-space, and
g:X → Ybe a mapping for which there isψ:X → Dsuch that
μgax−asgxt≥ψxt 3.1
for allx∈Xandt >0. If for some0< α < as,
ψaxt≥ψx
t
α 3.2
for allx ∈ X andt > 0, then there exists a uniquely determined mappingG : X → Y such that
Gax asGxand
μgx−Gxt≥ψx
as−αt
2 3.3
for allx∈Xandt >0.
Proof. Replacingxbyaixin3.1and using3.2, we get
μgai1x/asi1−gaix/asi
αit
asi1
≥ψxt 3.4
for allx∈X, i∈N,andt >0. It follows that
μganx/asn−gamx/asm
n−1
im
αit
asi1
μn−1
imgai1x/asi1−gaix/asi
n−1
im
αit asi1
≥ψxt
3.5
for allx∈X, t >0 and all nonnegative integersnandmwithn > m. Hence
μganx/asn−gamx/asmt≥ψx
t/
n−1
im
αi
asi1
3.6
for allx∈X, t >0,andm, n∈Nwithn > m. As 0< α < asand∞
i0αi/asi1<∞, the right hand side of the inequality tends to 1 asmtend to infinity. Then the sequence{ganx/asn}
is a Cauchy sequence inY, μ,TM. SinceY, μ,TMis a complete RN-space, this sequence converges to some pointGx∈Y. Therefore, we may defineGx:limn→ ∞ganx/asnfor
allx∈X. Fixx∈X,and putm0 in3.6. Then we obtain
μganx/asn−gxt≥ψx
t/
n−1
i0
αi
asi1
and so, byRN3, we have
μGx−gxt≥ TM
μGx−ganx/asn
t
2 , μganx/asn−gx
t
2
≥ TM
μGx−ganx/asn
t
2 , ψx
t/
n−1
i0 2αi
asi1
3.8
for everyt > 0. Taking the limit asn → ∞in3.8, byGx limn→ ∞ganx/asn, we get 3.3.
To prove the uniqueness of the mappingG, assume that there exists another mapping
H : X → Y which satisfies3.3andHax asHxfor allx ∈ X. Fixx ∈ X. Clearly,
Ganx asnGx,andHanx asnHxfor alln∈N. It follows from3.2and3.3that
μGx−Hxt≥ TM
μGanx/asn−ganx/asn
t
2 , μganx/asn−Hanx/asn
t
2
≥ψx
as−αasnt
4αn .
3.9
Since limn→ ∞as−αasnt/4αn ∞, we get limn→ ∞ψxas−αasnt/4αn 1. Therefore,
it follows from3.9thatμGx−Hxt 1 for allt > 0,and soG H. This completes the
proof.
Corollary 3.2. Lets∈ {1,3}be fixed,Xbe a linear space,Y, μ,TMbe a complete RN-space, and
f:X → Ybe a mapping for which there isψ:X → Dsuch that
μf4x−10f2x16fxt≥ψxt 3.10
for allx∈Xandt >0. If for some0< α <2s,ψ
2xt≥ψxt/αfor allx∈Xandt >0, then there
exists a uniquely determined mappingFs:X → Ysuch thatFs2x 2sFsxand
μf2x−23/sfx−Fsxt≥ψx
2s−αt
2 3.11
for allx∈Xandt >0.
Theorem 3.3. LetX be a linear space,Z, μ,TMbe an RN-space,Y, μ,TMbe a complete RN-space, and f : X → Y be a mapping with f0 0 for which there isϕ : X×X → Z such that
μfkxyfkx−y−kfxy−kfx−y−2fkx2kfxt≥μϕx,yt 3.12
for allx, y∈Xandt >0. If for some0< α <2,
for allx, y∈Xandt >0, then there exists a unique additive mappingA:X → Y such that
μf2x−8fx−Axt≥ψx
2−αk3−kt 2
3.14
for allx∈Xandt >0, where
ψxt: TM32i1
μϕx/2,2k1x/2
t
384k , μ
ϕx/2,2k−1x/2
t
384k ,
μϕx/2,3kx/2
t
384 , μ
ϕ0,3k−1x/2
k−1t
384k , μ
ϕx,x
t
96k2 ,
μϕx/2,kx/2
t
96 , μ
ϕ0,k1x/2
k−1t
96k , μ
ϕ0,k−1x
k−1t
96k2 ,
μϕ0,kx
t
96k1 , μ
ϕx,k1x
t
128 , μ
ϕx,k−1x
t
128 ,
μϕ0,x
k−1t
128 , μ
ϕ0,kx
k−1t
128k , μ
ϕ2x,x
t
32 , μ
ϕ2x,kx
t
16 ,
μϕx,2k−1x
t
56 , μ
ϕx,2k1x
t
56 , μ
3x,x
t
56 , μ
ϕx,x
t
56 ,
μϕ0,k1x
k−1t
56 , μ
ϕ0,k−1x
k−1t
56 , μ
ϕ0,2kx
k−1t
56k ,
μϕx,2k1x
t
384k , μ
ϕx,2k−1x
t
384k , μ
ϕx,3kx
t
384 ,
μϕ0,3k−1x
k−1t
384k , μ
ϕ2x,2x
t
96k2 , μϕx,kx
t
96 ,
μϕ0,k1x
k−1t
96k , μ
ϕ0,2k−1x
k−1t
96k2 ,
μϕ0,2kx
t
96k1 , μ
ϕ2x,2kx
t 16 . 3.15
Proof. Lettingx0 in3.12, we get
μfyf−yt≥μϕ0,yk−1t 3.16
for ally∈Xandt >0. Puttingyxin3.12, we have
for allx∈Xandt >0. Replacingxby 2xin3.17, we obtain
μf2k1xf2k−1x−kf4x−2f2kx2kf2xt≥μϕ2x,2xt 3.18
for allx∈Xandt >0. Lettingykxin3.12, we get
μf2kx−kfk1x−kf−k−1x−2fkx2kfxt≥μϕx,kxt 3.19
for allx∈Xandt >0. Lettingy k1xin3.12, we have
μf2k1xf−x−kfk2x−kf−kx−2fkx2kfxt≥μϕx,k1xt 3.20
for allx∈Xandt >0. Lettingy k−1xin3.12, we have
μf2k−1x−k2fkx−kf−k−2x2k1fxt≥μϕx,k−1xt 3.21
for allx∈Xandt >0. Replacingxandyby 2xandxin3.12, respectively, we get
μf2k1xf2k−1x−2f2kx−kf3x2kf2x−kfxt≥μϕ2x,xt 3.22
for allx∈Xandt >0. Replacingxandyby 3xandxin3.12, respectively, we get
μf3k1xf3k−1x−2f3kx−kf4x−kf2x2kf3xt≥μϕ3x,xt 3.23
for allx∈Xandt >0. Replacingxandyby 2xandkxin3.12, respectively, we have
μf3kxfkx−kfk2x−kf−k−2x−2f2kx2kf2xt≥μϕ2x,kxt 3.24
for allx∈Xandt >0. Settingy 2k1xin3.12, we have
μf3k1xf−k1x−kf2k1x−kf−2kx−2fkx2kfxt≥μϕx,2k1xt 3.25
for allx∈Xandt >0. Lettingy 2k−1xin3.12, we have
μf3k−1xf−k−1x−kf−2k−1x−kf2kx−2fkx2kfxt≥μϕx,2k−1xt 3.26
for allx∈Xandt >0. Lettingy3kxin3.12, we have
for allx∈Xandt >0. By3.16,3.17,3.23,3.25, and3.26, we get
μkf2k1xkf−2k−1x6fkx−2f3kx−kf4x2kf3x−6kfxt
≥TM7
i1
μϕx,2k−1x
t
7 , μ
ϕx,2k1x
t
7 , μ
ϕ3x,x
t
7 , μ
ϕx,x
t
7 ,
μϕ0,k1x
k−1t
7 , μ
ϕ0,k−1x
k−1t
7 , μ
ϕ0,2kx
k−1t
7k
3.28
for allx∈Xandt >0. By3.16,3.20, and3.21, we have
μf2k1xf2k−1x−kfk2x−kf−k−2x−4fkx4kfxt
≥TM4
i1
μϕx,k1x
t
4 , μ
ϕx,k−1x
t
4 , μ
ϕ0,x
k−1t
4 , μ
ϕ0,kx
k−1t
4k
3.29
for allx∈Xandt >0. It follows from3.22and3.29that
μkfk2xkf−k−2x−2f2kx4fkx−kf3x2kf2x−5kfxt
≥TM5
i1
μϕx,k1x
t
8 , μ
ϕx,k−1x
t
8 ,
μϕ0,x
k−1t
8 , μ
ϕ0,kx
k−1t
8k , μ
ϕ2x,x
t
2
3.30
for allx∈Xand t>0. By3.24and3.30, we have
μf3kx−4f2kx5fkx−kf3x4kf2x−5kfxt
≥TM6
i1
μϕx,k1x
t
16 , μ
ϕx,k−1x
t
16 , μ
ϕ0,x
k−1t
16 ,
μϕ0,kx
k−1t
16k , μ
ϕ2x,x
t
4 , μ
ϕ2x,kx
t
2
3.31
for allx∈Xandt >0. By3.16and3.25–3.27, we have
μkf−k1x−kf−k−1x−k2f2k1xk2f−2k−1xk2f2kx−k2−1f−2kxf4kx−2fkx2kfxt
≥TM4
i1
μϕx,2k1x
t
4k , μ
ϕx,2k−1x
t
4k , μ
ϕx,3kx
t
4 , μ
ϕ0,3k−1x
k−1t
4k
for allx∈Xandt >0. It follows from3.16,3.18,3.19, and3.32that
μf4kx−2f2kx−k3f4x2k3f2xt
≥TM9
i1
μϕx,2k1x
t
24k , μ
ϕx,2k−1x
t
24k , μ
ϕx,3kx
t
24 , μ
ϕ0,3k−1x
k−1t
24k ,
μϕ2x,2x
t
6k2 , μϕx,kx
t
6 , μ
ϕ0,k1x
k−1t
6k ,
μϕ0,2k−1x
k−1t
6k2 , μ
ϕ0,2kx
t
6k1
3.33
for allx∈Xandt >0. Hence
μf2kx−2fkx−k3f2x2k3fxt
≥TM9
i1
μϕx/2,2k1x/2
t
24k , μ
ϕx/2,2k−1x/2
t
24k , μ
ϕx/2,3kx/2
t
24 ,
μϕ0,3k−1x/2
k−1t
24k , μ
ϕx,x
t
6k2 , μϕx/2,kx/2
t
6 ,
μϕ0,k1x/2
k−1t
6k , μ
ϕ0,k−1x
k−1t
6k2 , μ
ϕ0,kx
t
6k1
3.34
for allx∈Xandt >0. By3.19, we have
μf4kx−kf2k1x−kf−2k−1x−2f2kx2kf2xt≥μϕ2x,2kxt 3.35
for allx∈Xandt >0. From3.33and3.35, we have
μkf2k1xkf−2k−1x−k3f4x2k3−2kf2xt
≥TM10
i1
μϕx,2k1x
t
48k , μ
ϕx,2k−1x
t
48k , μ
ϕx,3kx
t
48 , μ
ϕ0,3k−1x
k−1t
48k ,
μϕ2x,2x
t
12k2 , μ
ϕx,kx
t
12 , μ
ϕ0,k1x
k−1t
12k , μ
ϕ0,2k−1x
k−1t
12k2 ,
μϕ0,2kx
t
12k1 , μ
ϕ2x,2kx
t
2
for allx∈Xandt >0. Also, from3.28and3.36, we get
μ2f3kx−6fkxk−k3f4x−2kf3x2k3−2kf2x6kfxt
≥TM17
i1
μϕx,2k−1x
t
14 , μ
ϕx,2k1x
t
14 ,
μϕ3x,x
t
14 , μ
ϕx,x
t
14 , μ
ϕ0,k1x
k−1t
14 ,
μϕ0,k−1x
k−1t
14 , μ
ϕ0,2kx
k−1t
14k , μ
ϕx,2k1x
t
96k ,
μϕx,2k−1x
t
96k , μ
ϕx,3kx
t
96 , μ
ϕ0,3k−1x
k−1t
96k ,
μϕ2x,2x
t
24k2 , μ
ϕx,kx
t
24 , μ
ϕ0,k1x
k−1t
24k ,
μϕ0,2k−1x
k−1t
24k2 , μ
ϕ0,2kx
t
24k1 , μ
ϕ2x,2kx
t
4
3.37
for allx∈Xandt >0.
On the other hand, it follows from3.31and3.37that
μ8f2kx−16fkxk−k3f4x2k3−10kf2x16kfxt
≥TM23
i1
μϕx,k1x
t
64 , μ
ϕx,k−1x
t
64 , μ
ϕ0,x
k−1t
64 , μ
ϕ0,kx
k−1t
64k ,
μϕ2x,x
t
16 , μ
ϕ2x,kx
t
8 , μ
ϕx,2k−1x
t
28 ,
μϕx,2k1x
t
28 , μ
ϕ3x,x
t
28 , μ
ϕx,x
t
28 , μ
ϕ0,k1x
k−1t
28 ,
μϕ0,k−1x
k−1t
28 , μ
ϕ0,2kx
k−1t
28k , μ
ϕx,2k1x
t
192k ,
μϕx,2k−1x
t
192k , μ
ϕx,3kx
t
192 , μ
ϕ0,3k−1x
k−1t
192k ,
μϕ2x,2x
t
48k2 , μ
ϕx,kx
t
48 , μ
ϕ0,k1x
k−1t
48k
μϕ0,2k−1x
k−1t
48k2 , μϕ0,2kx
t
48k1 , μ
ϕ2x,2kx
t
8
3.38
for allx∈Xandt >0. Therefore by3.34and3.38, we get
μf4x−10f2x16fx
t
for allx∈Xandt >0. ByCorollary 3.2, there exists a unique mappingA:X → Y such that
A2x 2Axandμf2x−8fx−Axt≥ψx2−αk3−kt/2for allx∈Xandt >0.
It remains to show thatAis an additive map. Replacingx, yby 2nx,2nyin3.12we
get
μ1/2nfk2nx2nyfk2nx−2ny−kf2nx2ny−kf2nx−2ny−2fk2nx2kf2nxt
≥μ
ϕx,y
2nt
αn
3.40
for allx, y∈Xandt >0. Hence
μfkxyfkx−y−kfxy−kfx−y−2fkx2kfxt
≥TM8
i1
μAkxy−g2nkxy/2n
t
8 , μAkx−y−g2nkx−y/2n
t
8 ,
μAxy−g2nxy/2n
t
8k , μAx−y−g2nx−y/2n
t
8k ,
μAkx−g2nkx/2n
t
16 , μAx−g2nx/2n
t
16k ,
μϕx,y
2nt
8αn1 , μ
ϕx,y
2nt
64αn
3.41
for allx, y ∈ X andt > 0. Taking the limit asn → ∞in3.41, we conclude thatAfulfills
1.2, and so by16, Lemma 3.1, we see that the mappingx → A2x−8Axis additive, which implies that the mappingAis additive. This completes the proof.
Similar toTheorem 3.3, one can prove the following result.
Theorem 3.4. LetX be a linear space,Z, μ,TMbe an RN-space,Y, μ,TMbe a complete RN-space, and f : X → Y be a mapping with f0 0 for which there isϕ : X×X → Z such that
μfkxyfkx−y−kfxy−kfx−y−2fkx2kfxt≥μϕx,yt 3.42
for allx, y ∈Xandt >0. If for some0< α <8,μϕ2x,2yt≥μαϕx,ytfor allx, y∈Xandt >0, then there exists a unique cubic mappingC:X → Y such that
μf2x−2fx−Cxt≥ψx
8−αk3−kt 2
3.43
for allx∈Xandt >0, whereψxtis defined as inTheorem 3.3.
Theorem 3.6. LetX be a linear space,Z, μ,TMbe an RN-space,Y, μ,TMbe a complete RN-space, and f : X → Y be a mapping with f0 0 for which there isϕ : X×X → Z such that
μfkxyfkx−y−kfxy−kfx−y−2fkx2kfxt≥μϕx,yt 3.44
for allx, y∈Xandt >0. If for some0< α <2,
μϕ2x,2yt≥μαϕx,yt 3.45
for allx, y∈Xandt >0, then there exist a unique additive mappingA:X → Yand a unique cubic mappingC:X → Y such that
μfx−Ax−Cxt≥ψx
32−αk3−kt 2
3.46
for allx∈Xandt >0, whereψxtis defined as inTheorem 3.3.
Proof. By Theorems3.3and3.4, there exist an additive mappingA1 : X → Y and a cubic mappingC1 :X → Ysuch that
μf2x−8fx−A1xt≥ψx
2−αk3−kt 2
, 3.47
μf2x−2fx−C1xt≥ψx
8−αk3−kt 2
3.48
for allx∈Xandt >0. Therefore from3.47and3.48, we get
μ
fx1
6A1x− 1 6C1x
t≥ψx
32−αk3−kt 2
3.49
for allx∈Xandt >0. LettingAx −1/6A1xandCx 1/6C1xfor allx∈X, it follows from3.49that
μfx−Ax−Cxt≥ψx
32−αk3−kt 2
for allx∈ Xandt >0. To prove the uniqueness ofAandC, letA, C: X → Y be another additive and cubic mapping satisfying3.46. SetAA−AandCC−C. So
μAxCxt≥ TM
μAxCx−fx
t
2 , μfx−Ax−Cx
t
2
≥ψx
32−αk3−kt 4
3.51
for allx∈Xandt >0. ByA2x 2Ax,C2x 8Cx, and3.51, we get
μCxt≥ TM
μA2nxC2nx
8nt
2 , μA2nx
8nt
2
≥ TM
ψx
32−αk3−k8nt
4αn
, μAx
4nt
2
3.52
for allx ∈ X and t > 0. Since the right hand side of the inequality tends to 1 asntend to infinity, we find thatCx 0. ThereforeC0, and thenA0. This completes the proof.
Remark 3.7. We can formulate similar statements toTheorem 3.6forα >8.
Corollary 3.8. LetX, · be a normed space,Z, μ,TMbe an RN-space, andY, μ,TMbe a complete RN-space. Letpbe a non-negative real number such thatp∈0,1∪1,3∪3,∞,and let
z0∈Z. Iff:X → Yis a mapping withf0 0such that
μfkxyfkx−y−kfxy−kfx−y−2fkx2kfxt≥μxpypz
0t 3.53
for allx, y∈Xandt >0, then there exist a unique additive mappingA:X → Yand a unique cubic mappingC:X → Y such that
μfx−Ax−Cxt≥ ⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩
μxpz 0
2−2pk2−1t 25613k
, p∈0,1,
μxpz 0
⎛ ⎜
⎝2p−2
k2−1t 2561 3k3
⎞ ⎟
⎠, p∈1,log25,
μxpz 0
⎛ ⎜
⎝8−2p
k2−1t
2561 3k3
⎞ ⎟
⎠, p∈log25,3,
μxpz 0
2p−8k2−1t 2561 3kp
, p∈3,∞,
3.54
Corollary 3.9. LetX, · be a normed space,Z, μ,TMbe an RN-space, andY, μ,TMbe a complete RN-space. Letr, sbe non-negative real numbers such thatλ:rs∈0,1∪1,3∪3,∞,
and letz0∈Z. Iff:X → Y be a mapping withf0 0such that
μfkxyfkx−y−kfxy−kfx−y−2fkx2kfxt≥μxrysxrsyrsz
0t 3.55
for allx, y∈Xandt >0, then there exist a unique additive mappingA:X → Yand a unique cubic mappingC:X → Y such that
μfx−Ax−Cxt≥ ⎧ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎩
μ
xλz 0
2−2λk2−1t 25616k
, λ∈0,1,
μ
xλz 0
⎛ ⎜ ⎝
2λ−2k2−1t 256123k3
⎞ ⎟
⎠, λ∈1,log25,
μ
xλz 0
⎛ ⎜ ⎝
8−2λk2−1t
256123k3
⎞ ⎟
⎠, λ∈log25,3,
μ
xλz 0
⎛ ⎜ ⎝
2λ−8k2−1t 256123kλ
⎞ ⎟
⎠, λ∈3,∞,
3.56
for allx∈Xandt >0.
Now, we give one example to illustrate the main results ofTheorem 3.6. This example is a modification of the example of Zhang et al.34.
Example 3.10. LetX, · be a Banach algebra,x0be a unit vector inX,andμxtis defined as inExample 2.3. It is easy to see thatX, μ,TMis a completeRN-space.
Definef :X → Xbyfx x3xpx
0forx∈X. For 0< p <1, define
ϕx, y8kxpypx0, x, y∈X. 3.57
Since 0< p <1, the inequalityabp≤apbpholds whena≥0 andb≥0. A straightforward computation shows that
f
kxyfkx−y−kfxy−kfx−y−2fkx 2kfx≤8kxpyp
for allx, y ∈ X. Therefore, all the conditions ofTheorem 3.6hold, and there exist a unique additive mappingA:X → Xand a unique cubic mappingC:X → Xsuch that
μfx−Ax−Cxt≥ψx
32−αk3−kt 2
3.59
for allx∈Xandt >0, whereψxtis defined as inTheorem 3.3.
Acknowledgments
The authors would like to thank the area editor professor Radu Precup and two anonymous referees for their valuable comments and suggestions. T. Z. Xu was supported by the National Natural Science Foundation of China10671013.
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