# Fuzzy Stability of the Pexiderized Quadratic Functional Equation: A Fixed Point Approach

- Zhihua Wang
^{1, 2}and - Wanxiong Zhang
^{3}Email author

**2009**:460912

**DOI: **10.1155/2009/460912

© Z.Wang andW. Zhang. 2009

**Received: **25 April 2009

**Accepted: **16 August 2009

**Published: **6 September 2009

## Abstract

The fixed point alternative methods are implemented to give generalized Hyers-Ulam-Rassias stability for the Pexiderized quadratic functional equation in the fuzzy version. This method introduces a metrical context and shows that the stability is related to some fixed point of a suitable operator.

## 1. Introduction

The aim of this article is to extend the applications of the fixed point alternative method to provide a fuzzy version of Hyers-Ulam-Rassias stability for the functional equation:

which is said to be a Pexiderized quadratic functional equation or called a quadratic functional equation for . During the last two decades, the Hyers-Ulam-Rassias stability of (1.1) has been investigated extensively by several mathematicians for the mapping with more general domains and ranges [1–4]. In view of fuzzy space, Katsaras [5] constructed a fuzzy vector topological structure on the linear space. Later, some other type fuzzy norms and some properties of fuzzy normed linear spaces have been considered by some mathematicians [6–12]. Recently, considerable attention has been increasing to the problem of fuzzy stability of functional equations. Several various fuzzy stability results concerning Cauchy, Jensen, quadratic, and cubic functional equations have been investigated [13–16].

As we see, the powerful method for studying the stability of functional equation was first suggested by Hyers [17] while he was trying to answer the question originated from the problem of Ulam [18], and it is called a direct method because it allows us to construct the additive function directly from the given function . In , Radu [19] proposed the fixed point alternative method for obtaining the existence of exact solutions and error estimations. Subsequently, Miheţ [20] applied the fixed alternative method to study the fuzzy stability of the Jensen functional equation on the fuzzy space which is defined in [14].

Practically, the application of the two methods is successfully extended to obtain a fuzzy approximate solutions to functional equations [14, 20]. A comparison between the direct method and fixed alternative method for functional equations is given in [19]. The fixed alternative method can be considered as an advantage of this method over direct method in the fact that the range of approximate solutions is much more than the latter [14].

## 2. Preliminaries

Before obtaining the main result, we firstly introduce some useful concepts: a fuzzy normed linear space is a pair , where is a real linear space and is a fuzzy norm on , which is defined as follow.

Definition 2.1 (cf. [6]).

A function (the so-called fuzzy subset) is said to be a fuzzy norm on if for all and all , is left continuous for every and satisfies

(N5) is a nondecreasing function on and .

Let be a fuzzy normed linear space. A sequence in is said to be convergent if there exists such that . In that case, is called the limit of the sequence and we write .

A sequence in a fuzzy normed space is called Cauchy if for each and , there exists such that . If each Cauchy sequence is convergent, then the fuzzy norm is said to be complete and the fuzzy normed space is called a fuzzy Banach space.

We recall the following result by Margolis and Diaz.

for some natural number . Moreover, if the second alternative holds, then:

## 3. Main Results

We start our works with a fuzzy generalized Hyers-Ulam-Rassias stability theorem for the Pexiderized quadratic functional equation (1.1). Due to some technical reasons, we first examine the stability for odd and even functions and then we apply our results to a general function.

The aim of this section is to give an alternative proof for that result in [15, Section ], based on the fixed point method. Also, our method even provides a better estimation.

Theorem 3.1.

The next Lemma 3.2 has been proved in [15, Proposition ].

Lemma 3.2.

Proof of Theorem 3.1.

Hence, it holds that , that is, , .

whence we obtained (3.4).

This completes the proof of the theorem.

Theorem 3.3.

The following Lemma 3.4 has been proved in [15, Proposition ].

Lemma 3.4.

If , then , and , , , , , where , = , , , , , .

Proof of Theorem 3.3.

Hence, it holds that , that is, , .

The quadratic of can be proved in a similar fashion as in the proof of Proposition [15].

A similar inequality holds for . The rest of the proof is similar to the proof of Theorem 3.1.

Theorem 3.5.

where = , , , , , , , , , , , , , , , , , .

Proof.

This completes the proof of the theorem.

## Declarations

### Acknowledgment

The authors are very grateful to the referees for their helpful comments and suggestions.

## Authors’ Affiliations

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