# Fuzzy stability of a cubic functional equation via fixed point technique

- Syed Abdul Mohiuddine
^{1}Email author and - Abdullah Alotaibi
^{1}

**2012**:48

https://doi.org/10.1186/1687-1847-2012-48

© Mohiuddine and Alotaibi; licensee Springer. 2012

**Received: **20 January 2012

**Accepted: **17 April 2012

**Published: **17 April 2012

## Abstract

The object of this article is to determine Hyers-Ulam-Rassias stability results concerning the cubic functional equation in fuzzy normed space by using the fixed point method.

## Keywords

## 1 Introduction, definitions and notations

Fuzzy set theory is a powerful hand set for modeling uncertainty and vagueness in various problems arising in the field of science and engineering. It has a large number of application, for instance, in the computer programming [1], engineering problems [2], statistical convergence [3–7], nonlinear operator [8], best approximation [9] etc. Particularly, fuzzy differential equation is a strong topic with large application areas, for example, in population models [10], civil engineering [11] and so on.

By modifying own studies on fuzzy topological vector spaces, Katsaras [12] first introduced the notion of fuzzy seminorm and norm on a vector space and later on Felbin [13] gave the concept of a fuzzy normed space (for short, FNS) by applying the notion fuzzy distance of Kaleva and Seikala [14] on vector spaces. Further, Xiao and Zhu [15] improved a bit the Felbin's definition of fuzzy norm of a linear operator between FNSs.

Stability problem of a functional equation was first posed by Ulam [16] which was answered by Hyers [17] under the assumption that the groups are Banach spaces. Rassias [18] and Gajda [19] considered the stability problem with unbounded Cauchy differences. The unified form of the results of Hyers, Rassias, and Gajda is as follows:

*Let E and F be real normed spaces with F complete and let f*:

*E*→

*F be a mapping such that the following condition holds*

*for all x, y*∈

*E, θ*≥ 0

*and for some p*∈ [0, ∞) | {1}.

*Then there exists a unique additive function C : E → F such that*

*for all x* ∈ *E*.

This stability phenomenon is called generalized Hyers-Ulam stability and has been extensively investigated for different functional equations. It is to be noted that almost all proofs used the idea imaginated by Hyers. Namely, the additive function *C* : *E → F* is explicitly constructed, starting from the given function *f*, by the formulae (i) $C\left(x\right)=\underset{n\to \infty}{\text{lim}}\frac{1}{{2}^{n}}f\left({2}^{n}x\right)$, if *p* < 1; and (ii) $C\left(x\right)=\underset{n\to \infty}{\text{lim}}{2}^{n}f\left(\frac{x}{{2}^{n}}\right)$, if *p* > 1. This method is called a direct method. It is often used to construct a solution of a given functional equation and is seen to be a powerful tool for studying the stability of many functional equations. Since then several stability problems and its fuzzy version for various functional equations have been investigated in [20–26]. Recently, Radu [27] proposed that fixed point alternative method is very useful for obtaining the solution of Ulam problem.

The stability problem for the cubic functional equation was proved by Jun and Kim [21] for mappings *f : X → Y*, where *X* is a real normed space and *Y* is a Banach space. In this article, we show that the existence of the limit *C*(*x*) and the estimation (i) and (ii) can be simply obtained from the alternative of fixed point.

In this section, we recall some notations and basic definitions used in this article.

*X*× ℝ is called a fuzzy norm on

*X*if the following conditions are satisfied for all

*x, y*∈

*X*and

*c*∈ ℝ;

- (a)
*N*(*x, t*) = 0 for all non-positive*t*∈ ℝ, - (b)
*N*(*x, t*) = 1 for all*t*∈ ℝ^{+}if and only if*x*= 0, - (c)
$N\left(cx,t\right)=N\left(x,\frac{t}{\left|c\right|}\right)$ for all

*t*∈ ℝ^{+}and*c ≠*0, - (d)
*N*(*x + y, t + s*)*≥*min{*N*(*x, t*),*N*(*y, s*)} for all*s, t*∈ ℝ, - (e)
*N*(*x, t*) is a non-decreasing function on ℝ, and sup_{t∈ℝ}*N*(*x*,*t*) = 1.

The pair (*X, N*) will be referred to as a *fuzzy normed space*.

**Example 1.1**. Let (

*X*, ||.||) be a normed linear space. Then

is a fuzzy norm on *X*.

**Example 1.2**. Let (

*X*, ||.||) be a normed linear space. Then

is a fuzzy norm on *X*.

Let (*X, N*) be a fuzzy normed space. Then, a sequence *x* = (*x*_{
k
} ) is said to be *fuzzy convergent* to *L* ∈ *X* if lim *N*(*x*_{
k
} *- L, t*) = 1, for all *t* > 0. In this case, we write *N*-lim *x*_{
k
} = *L*.

Let (*X, N*) be an fuzzy normed space. Then, *x* = (*x*_{
k
} ) is said to be *fuzzy Cauchy sequence* if lim *N*(*x*_{
k+p
} *- x*_{
k
}*, t*) = 1 for all *t* > 0 and *p* = 1, 2, ....

It is known that every convergent sequence in a fuzzy normed space (*X, N*) is Cauchy. Fuzzy normed space (*X, N*) is said to be *complete* if every fuzzy Cauchy sequence is fuzzy convergent. In this case, (*X, N*) is called *fuzzy Banach space*.

## 2 Fixed point technique for Hyers-Ulam stability

In this section, we deal with the stability problem via fixed point method in fuzzy norm space. Before proceeding further, we should recall the following results related to the concept of fixed point.

**Theorem 2.1**(Banach's Contraction principle). Let (

*X, d*) be a complete generalized metric space and consider a mapping

*J : X → X*be a strictly contractive mapping, that is

*L*< 1. Then

- (i)
The mapping

*J*has one and only one fixed point*x** =*J*(*x**); - (ii)The fixed point
*x** is globally attractive, that is$\underset{n\to \infty}{\text{lim}}{J}^{n}x={x}^{*},$

*x*∈

*X;*

- (iii)One has the following estimation inequalities for all
*x*∈*X*and*n*≥ 0:$d\left({J}^{n}x,{x}^{*}\right)\le {L}^{{\phantom{\rule{0.1em}{0ex}}}^{n}}d\left(x,{x}^{*}\right)$(2.1.1)$d\left({J}^{n}x,{x}^{*}\right)\le \frac{1}{1-L}d\left({J}^{n}x,{J}^{n+1}x\right)$(2.1.2)$d\left(x,{x}^{*}\right)\le \frac{1}{1-L}d\left(x,Jx\right).$(2.1.3)

**Theorem 2.2**(The alternative of fixed point) [28]. Suppose we are given a complete generalized metric space (

*X, d*) and a strictly contractive mapping

*J*:

*X → X*, with Lipschitz constant

*L*. Then, for each given element

*x*∈

*X*, either

*n*

_{0}. Moreover, if the second alternative holds then

- (i)
The sequence (

*J*^{ n }*x*) is convergent to a fixed point*y** of*J*; - (ii)
*y** is the unique fixed point of*J*in the set $Y=\left\{y\in X,\phantom{\rule{2.77695pt}{0ex}}d\left({J}^{{n}_{\circ}}x,\phantom{\rule{2.77695pt}{0ex}}y\right)<+\infty \right\}$ - (iii)
$d\left(y,y*\right)\le \frac{1}{1-L}d\left(y,Jy\right),y\in Y$.

We are now ready to obtain our main results.

is called the *cubic functional equation*, since the function *f*(*x*) = *cx*^{3} is its solution. Every solution of the cubic functional equation is said to be a *cubic mapping*.

*φ*be a function from

*X*×

*X*to

*Z*. A mapping

*f*:

*X → Y*is said to be

*φ*-approximately cubic function if

for all *x, y* ∈ *X and t* > 0.

Using the fixed point alternative, we can prove the stability of Hyers-Ulam-Rassias type theorem in FNS. First, we prove the following lemma which will be used in our main result.

**Lemma 2.1**. Let (

*Z, N'*) be a fuzzy normed space and

*φ*:

*X → Z*be a function. Let

*E*= {

*g*:

*X → Y; g*(0) = 0} and define

for all *h ∈ E*. Then *d*_{
M
} is a complete generalized metric on *E*.

**Proof**. Let

*g, h, k ∈ E, d*

_{ M }(

*g, h*) <

*ξ*

_{1}and

*d*

_{ M }(

*h, k*) <

*ξ*

_{2}. Then

*x ∈ X*and

*t*> 0. Thus

for each *x ∈ X* and *t* > 0. By definition *d*_{
M
} (*h, k*) < *ξ*_{1} + *ξ*_{2}. This proves the triangle inequality for *d*_{
M
} . Rest of the proof can be done on the same lines as in (see [[29], Lemma 2.1]).

**Theorem 2.3**. Let

*X*be a linear space and (

*Z, N'*) be a FNS. Suppose that a function

*φ*:

*X*×

*X*→

*Z*satisfying

*φ*(2

*x*, 2

*y*) =

*αφ*(

*x, y*) for all

*x, y ∈ X*and

*α ≠*0. Suppose that (

*Y, N*) be a fuzzy Banach space and

*f*:

*X*→

*Y*be a

*φ*-approximately cubic function. If for some 0 <

*α*< 8

*x, y*∈

*X*and

*t*> 0. Then there exists a unique cubic mapping

*C : X → Y*such that

for all *x* ∈ *X* and all *t* > 0.

**Proof**. Put

*y*= 0 in (2.0.2). Then for all

*x*∈

*X*and

*t*> 0

*E*= {

*g*:

*X → Y, g*(0) = 0} together with the mapping

*d*

_{ M }defined on

*E × E by*

*d*

_{ M }(

*g, h*) complete generalized metric space by Lemma 2.1. Now, we define the linear mapping

*J*:

*E*→

*E*such that

*J*is a strictly contractive self-mapping of

*E*with the Lipschitz constant $\frac{\alpha}{8}$. Indeed, let

*g, h ∈ E*be given such that

*d*

_{ M }(

*g, h*) =

*ε*. Then

*x*∈

*X*and

*t*> 0. Thus

*x*∈

*X*and

*t*> 0. Therefore

*g, h*∈

*E*. Next, from

we have ${d}_{M}\left(f,Jf\right)\le \frac{1}{16}$

*J*, that is, the existence of a mapping

*C*:

*X → Y*such that

*C*(2

*x*) = 8

*C*(

*x*), for all

*x ∈ X*. Moreover, we have

*d*

_{ M }(

*J*

^{ n }

*f*,

*C*)

*→*0, which implies

*x ∈ X*. Also

*t*by 2(8 -

*α*)

*t*in the above equation, we obtain

for all *x ∈ X* and *t* > 0.

*x, y ∈ X*. Then

*x*and

*y*by 2

^{ n }

*x*and 2

^{ n }

*y*, respectively, we obtain

*x, y ∈ X*and all

*t*> 0. Since

we conclude that *C* fulfills (2.0.1).

*C*follows from the fact that

*C*is the unique fixed point of

*J*with the following property that there exists

*u*∈(0, ∞) such that

for all *x* ∈ *X* and *t* > 0.

This completes the proof of the theorem.

By a modification in the proof of Theorem 2.3, one can prove the following:

**Theorem 2.4**. Let

*X*be a linear space and (

*Z, N'*) be a FNS. Suppose that a function

*φ*:

*X*×

*X*→

*Z*satisfying

*x, y ∈ X*and

*α*≠ 0. Suppose that (

*Y, N*) be a fuzzy Banach space and

*f*:

*X*←

*Y*be a

*φ*-approximately cubic function. If for some

*α*> 8

*x, y ∈ X*and

*t*> 0. Then there exists a unique cubic mapping

*C*:

*X → Y*such that

for all *x ∈ X* and all *t* > 0.

The proof of the above theorem is similar to the proof of Theorem 2.3, hence omitted.

## 3 Conclusion

This study indeed presents a relationship between three various disciplines: the theory of fuzzy normed spaces, the theory of stability of functional equations and the fixed point theory. This method is easier than those of previously proved (stability problem) by other authors for fuzzy setting. We established Hyers-Ulam-Rassias stability of a cubic functional equation in fuzzy normed spaces by using fixed point alternative theorem.

## Author' information

Address of both the authors: Department of Mathematics, Faculty of Science, King Abdu-laziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia. Email: mohiuddine@gmail.com (S.A. Mohiuddine); mathker11@hotmail.com (A. Alotaibi).

## Declarations

### Acknowledgements

The authors would like to thank the anonymous reviewers for their valuable comments.

## Authors’ Affiliations

## References

- Giles R: A computer program for fuzzy reasoning.
*Fuzzy Sets Syst*1980, 4: 221–234.MATHMathSciNetView ArticleGoogle Scholar - Hanss M:
*Applied fuzzy arithmetic: an introduction with engineering applications.*Springer-Verlag, Berlin; 2005.Google Scholar - Mohiuddine SA, Danish Lohani QM: On generalized statistical convergence in intuitionistic fuzzy normed space.
*Chaos Solitons Fract*2009, 42: 1731–1737.MATHView ArticleGoogle Scholar - Mursaleen M, Mohiuddine SA: Statistical convergence of double sequences in intuitionistic fuzzy normed spaces.
*Chaos Solitons Fract*2009, 41: 2414–2421.MATHMathSciNetView ArticleGoogle Scholar - Mursaleen M, Mohiuddine SA: On lacunary statistical convergence with respect to the intuitionistic fuzzy normed space.
*J Comput Appl Math*2009, 233(2):142–149.MATHMathSciNetView ArticleGoogle Scholar - Mursaleen M, Mohiuddine SA, Edely OHH: On the ideal convergence of double sequences in intuitionistic fuzzy normed spaces.
*Comput Math Appl*2010, 59: 603–611.MATHMathSciNetView ArticleGoogle Scholar - Mohiuddine SA, Şevli H, Cancan M: Statistical convergence in fuzzy 2-normed space.
*J Computational Analy Appl*2010, 12(4):787–798.MATHGoogle Scholar - Mursaleen M, Mohiuddine SA: Nonlinear operators between intuitionistic fuzzy normed spaces and Fr'echet differentiation.
*Chaos Solitons Fract*2009, 42: 1010–1015.MATHMathSciNetView ArticleGoogle Scholar - Mohiuddine SA: Some new results on approximation in fuzzy 2-normed spaces.
*Math Comput Model*2011, 53: 574–580.MATHMathSciNetView ArticleGoogle Scholar - Guo M, Li R: Impulsive functional differential inclusions and fuzzy population models.
*Fuzzy Sets Syst*2003, 138: 601–615.MATHView ArticleGoogle Scholar - Oberguggenberger M, Pittschmann S: Differential equations with fuzzy parameters.
*Math Mod Syst*1999, 5: 181–202.MATHGoogle Scholar - Katsaras AK: Fuzzy topological vector spaces.
*Fuzzy Sets Syst*1984, 12: 143–154.MATHMathSciNetView ArticleGoogle Scholar - Felbin C: Finite dimensional fuzzy normed linear spaces.
*Fuzzy Sets Syst*1992, 48: 239–248.MATHMathSciNetView ArticleGoogle Scholar - Kaleva O, Seikala S: On fuzzy metric spaces.
*Fuzzy Sets Syst*1984, 12: 215–229.MATHView ArticleGoogle Scholar - Xiao JZ, Zhu XH: Fuzzy normed spaces of operators and its completeness.
*Fuzzy Sets Syst*2003, 133(3):135–146.MathSciNetView ArticleGoogle Scholar - Ulam SM: A Collection of the Mathematical Problems. In
*Interscience Publ*. New York; 1960.Google Scholar - Hyers DH: On the stability of the linear functional equation.
*Proc Natl Acad Sci USA*1941, 27: 222–224.MathSciNetView ArticleGoogle Scholar - Rassias TM: On the stability of the linear mapping in Banach spaces.
*Proc Am Math Soc*1978, 72: 297–300.MATHView ArticleGoogle Scholar - Gajda Z: On stability of additive mappings.
*Int J Math Math Sci*1991, 14: 431–434.MATHMathSciNetView ArticleGoogle Scholar - Alotaibi A, Mohiuddine SA: On the stability of a cubic functional equation in random 2-normed spaces.
*Adv Diff Equ*2012, 2012: 39.View ArticleGoogle Scholar - Jun KW, Kim HM: The generalized Hyers-Ulam-Rassias stability of a cubic functional equation.
*J Math Anal Appl*2002, 274: 867–878.MATHMathSciNetView ArticleGoogle Scholar - Jung SM, Kim TS: A fixed point approach to the stability of the cubic functional equation.
*Bol Soc Mat Mexicana*2006, 12(1):51–57.MATHMathSciNetGoogle Scholar - Mohiuddine SA: Stability of Jensen functional equation in intuitionistic fuzzy normed space.
*Chaos Solitons Fract*2009, 42: 2989–2996.MATHMathSciNetView ArticleGoogle Scholar - Mohiuddine SA, Şevli H: Stability of Pexiderized quadratic functional equation in intuitionistic fuzzy normed space.
*J Comput Appl Math*2011, 235: 2137–2146.MATHMathSciNetView ArticleGoogle Scholar - Mursaleen M, Mohiuddine SA: On stability of a cubic functional equation in intuition-istic fuzzy normed spaces.
*Chaos Solitons Fract*2009, 42: 2997–3005.MATHMathSciNetView ArticleGoogle Scholar - Mirmostafaee AK: A fixed point approach to almost quartic mappings in quasi fuzzy normed spaces.
*Fuzzy Sets Syst*2009, 160: 1653–1662.MATHMathSciNetView ArticleGoogle Scholar - Radu V: The fixed point alternative and the stability of functional equations.
*Sem Fixed Point Theory*2003, 4(1):91–96.MATHMathSciNetGoogle Scholar - Diaz JB, Margolis B: A fixed point theorem of the alternative for contractions on generalized complete metric space.
*Bull Am Math Soc*1968, 126(74):305–309.MathSciNetView ArticleGoogle Scholar - Miheţ D, Radu V: On the stability of the additive Cauchy functional equation in random normed spaces.
*J Math Anal Appl*2008, 343: 567–572.MATHMathSciNetView ArticleGoogle Scholar

## Copyright

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.