1. Introduction
The Banach contraction principle [
1] plays an important role in the study of nonlinear equations and is one of the most useful mathematical tools for establishing the existence and uniqueness of a solution of an operator equation
. Many researchers have extended and generalized this principle in different spaces such as
b-metric spaces, vector valued metric spaces,
G-metric spaces, partially ordered complete metric spaces, cone metric spaces etc. Zadeh [
2] introduced the notions of fuzzy logic and fuzzy sets. With this introduction, fuzzy mathematics began to evolve. Kramosil and Michalek [
3] initiated the concept of fuzzy metric space as a generalization of the probabilistic metric space.
Fixed point theory in fuzzy metric space has been an attractive area for researchers. Heilpern [
4] introduced fuzzy mappings and proved the fixed point theorem for such mappings. Grabiec [
5] defined complete fuzzy metric space (
G-complete fuzzy metric space) and extended the Banach fixed point theorem to fuzzy metric space (in the sense of Kramosil and Michalek). Besides the extension of the illustrious Banach contraction principle, several results concerning fixed point were established in
G-complete fuzzy metric spaces (see, e.g, [
6]). Gregori and Sapena [
6] defined fuzzy contraction and established a fixed point result in fuzzy metric space in the sense of George and Veeramani. Afterwards many fixed point results were established for complete fuzzy metric spaces introduced by George and Veeramani [
7], called
M-complete fuzzy metric.
Gopal et al. [
8] proposed the notion of
-
-fuzzy contractive mapping and proved some fixed point results in
G-complete fuzzy metric spaces in the sense of Grabiec. In this paper, we propose the notion of
-
-fuzzy contractive mapping and establish some fixed point results for such mappings. Our work generalizes several corresponding results given in the literature, in particular, the Grabiec fixed point theorem is extended. A supporting example is also given.
2. Preliminaries
In this section we recall some basic definitions which will be needed in the sequel.
Definition 1 ([
9]).
A binary operation satisfying conditions (1)–(4) is called continuous t-norm:- 1.
* is associative and commutative,
- 2.
* is continuous,
- 3.
for all
- 4.
if for all
, called Lukasievicz t-norm,
, called product t-norm, and
, minimum t-norm are examples of continuous t-norms.
Michalek and Kramosil [
3] defined fuzzy metric space in the following way.
Definition 2. Having a nonempty set S, let ς be a fuzzy set on and * be a continuous t-norm. Then the triplet is said to be fuzzy metric space if the following conditions are satisfied:
;
;
and
is left continuous and non-decreasing function of
, for all
The value of represents the degree of closeness between r and s with respect to .
Veeramani and George modified Kramosil’s definition of fuzzy metric space in the following way.
Definition 3 ([
10]).
The triplet is called fuzzy metric space, if S is a nonempty set, * is a continuous t-norm and ς is a fuzzy set on such that for all and the following assertions are satisfied.,
,
,
is continuous.
Remark 1 ([
11]).
It should be noted that if . Lemma 1 ([
6]).
is nondecreasing for all Example 1 ([
10]).
For a metric space , let be defined as where * is product t-norm (also true for minimum t-norm). Then ς is a fuzzy metric on S and is referred to as a fuzzy metric induced by the metric d.
If we take
, then the above fuzzy metric reduces to the well known
standard fuzzy metric. For further examples of fuzzy metrics see [
12].
Definition 4 ([
7]).
In a fuzzy metric space :- 1.
A sequence will converge to
- 2.
is said to be an M-cauchy sequence if for every positive real number and there exists such that
- 3.
is called G-cauchy sequence if for all and each .
If every M-Cauchy sequence converges to some point of a fuzzy metric space , then is called M-complete. Similarly will be G-complete if every G-Cauchy sequence converges in it. It is worth mentioning that G-completeness implies M-completeness.
3. Main Results
Definition 5. Let be a fuzzy metric space and Ω be the class of all mappings such that for any sequence . Then a self mapping is said to be α-ϱ-fuzzy contraction if there exists two functions and such thatfor all . Now we have proved our first result.
Theorem 1. Let be a G-complete fuzzy metric space, be α-ϱ-fuzzy contraction where is such that for all
Then F has a unique fixed point.
Proof. Define sequence by , where is an arbitrary but fixed element in S. Then by the hypothesis it follows that for If for any , then is a fixed point of F. Therefore we assume that for all , i.e., that no consecutive terms of the sequence are equal.
Further, if
for some
, then as no consecutive terms of the sequence
are equal from (
1), we have
i.e.,
Similarly one can show that
Now
implies that
, and so, the above inequality yields a contradiction. Thus we can suppose
for all distinct
Using (
1), we get
Therefore
Continuing in this manner, one can conclude by simple induction that
Let
q be a positive integer, then using
, we have
For
the above inequality becomes
Hence
is
G-cauchy. Therefore there will be some
such that
as
that is
for each
Now using
and (
1) we have
Thus
To show uniqueness, let
w and
z be two distinct fixed points of
F. That is
Then for all
,
Therefore using (
1), we have
Applying (
1) repeatedly, we have
Letting we have Which is a contradiction. Hence ☐
Theorem 2. Let be a G-complete fuzzy metric space, be a mapping. If there exists two mappings and such that for all , andfor all and then F has a unique fixed point. Proof. Let be an arbitrary element in S. Set , . Then by the hypothesis of the theorem it follows that where If for any , then is a fixed point of F. Therefore we assume that for all , i.e., that no consecutive terms of the sequence are equal.
Further, if
for some
, then as no consecutive terms of the sequence
are equal from (
4), we have
i.e.,
Similarly one can show that
Now
implies that
, and so, the above inequality yields a contradiction. Thus we can suppose
for all distinct
Using (
4), we get
Therefore
Continuing in this manner one can conclude, by simple induction, that
Using
, we have for any positive integer
For
the above inequality gives
Hence is G-cauchy. As S is complete, there will be such that as that is for each
Using
and (
7) we get
For
the above inequality gives
To prove uniqueness of the fixed point, assume
w and
z be two distinct fixed points of
F. That is
Then for all
,
Therefore using (
4), we have
which implies
With repeated use of (
4), it turns out that
For we get Which is a contradiction. Therefore ☐
Theorem 3. Let be a G-complete fuzzy metric space, be a mapping. If there exist two mappings and such that for all , andfor all and , then F has a unique fixed point. Proof. Set
,
, for a fixed element
. By hypothesis of the theorem we have
where
. Let
for
. Otherwise
is fixed point of
F and hence the result is proved. Further, if
for some
, then as no consecutive terms of the sequence
are equal from (
8), we have
i.e.,
Similarly it can be proved that
Now
implies that
, and so, the above inequality yields a contradiction. Thus we can suppose
for all distinct
Using (
8), we have
Therefore
Following the related arguments in the proof of Theorem (1), we conclude that is a G-cauchy sequence. Due to the completeness of S, there will be such that as that is for each
Then using
and (
8) we have
For
the above inequality gives
For uniqueness, assume
w and
z be two distinct fixed points of
F. That is
Then for all
,
Therefore using (
8), we have
Using (
8), it can be shown that
Letting
we get
a contradiction. Hence
☐
By taking
and
in Theorems (1), (2) and (3), we have the following corollary which is actually the fixed point result established by Grabiec [
5].
Corollary 1. Let be a G-complete fuzzy metric space and be be a self mapping such thatfor all . Then F has a unique fixed point.