1. Introduction and Preliminaries
Based on the theory of fuzzy sets introduced by Zadeh [
1], George and Veeramani [
2], provided axioms to fuzzy metric spaces. One of the most influential axioms regarding binary functions is the triangular norm (for short,
t-norm), which first appeared in the work of Schweizer and Sklar [
3]. This is a crucial operation in several fields, such as fuzzy sets, fuzzy logic, and their applications.
Starting with the famous Banach contraction principle [
4], a large number of mathematicians started to formulate various contractive conditions under which a fixed point exists. One of the most interesting motivations is the fixed-point theory established in fuzzy metric spaces, which was initiated by Grabiec [
5], where a fuzzy metric version of the Banach contraction principle was presented. Subsequently, Gregori and his coauthors introduced a variety of fuzzy contractive mappings in fuzzy metric spaces (see [
6,
7,
8]). On the other hand, Mihet [
9,
10] proposed a fixed-point theorem for weak Banach contraction in
W-complete fuzzy metric spaces and generalized the previous results involving some new type of contractions, such as Edelstein fuzzy contractive mappings, fuzzy
-contractive mappings, and so forth (for details, see [
11]). Recently, Wardowski [
12] introduced a new concept of fuzzy
H-contractive mapping and obtained some relevant fixed-point theorems. Additionally, Wardowski [
13] introduced a contraction called
F-contraction and proved a fixed-point theorem in metric spaces. Very recently, [
11,
14] gave other contractions in fuzzy metric spaces.
Throughout this paper, we introduce a new contraction called fuzzy
F-contraction, which is different from that of [
12,
15] since our contraction contains a simpler condition, that is, the mapping is only strictly increasing. Moreover, we cope with fixed-point theorems for fuzzy
F-contraction in the setting of fuzzy metric spaces. Specifically, we first give a lemma with respect to the Cauchy sequence in fuzzy metric spaces. Second, we introduce the concept of fuzzy
F-contraction, in which the function only needs a strictly increasing condition. Third, utilizing the lemma mentioned above, we obtain some fixed-point theorems for fuzzy
F-contraction with shorter conditions and straightforward proofs. Fourth, we present some examples to support our results. Our examples show that our conclusions are indeed the real generalizations in the existing literature.
In what follows, we recall several basic definitions and concepts.
Definition 1 ([
3])
. A binary operation is called a triangular norm (for short, t-norm) if the following conditions hold: - (i)
, for each;
- (ii)
, for any, and;
- (iii)
T is associative and commutative.
Three basic examples of continuous t-norms are as follows: and (minimum, product, and Lukasiewicz t-norm, respectively).
Definition 2 ([
2])
. A triple is called a fuzzy metric space if X is a nonempty set, T is a continuous t-norm, and is a fuzzy set satisfying the following conditions: (GV1) for all and ;
(GV2) if and only if ;
(GV3) for all and ;
(GV4) for all and ;
(GV5) is continuous for all .
If (GV4) is replaced by the following condition:
(GV4)’ for all and ,
then is called a strong fuzzy metric space (see [16]). Moreover, if
is a fuzzy metric space, then
W is a continuous function on
(see [
17]) and
is nondecreasing for all
(see [
5]).
In the sequel, unless there is a special explanation, we always denote by , the set of all positive integers; , the set of all nonnegative integers; , the set of all real numbers; and , the set of all positive real numbers.
Definition 3 ([
2])
. Let be a fuzzy metric space and be a sequence in X. Then, we say the following: - (i)
converges to (say , if for any ;
- (ii)
is a Cauchy sequence if, for any and , there exists such that for any ;
- (iii)
is complete if every Cauchy sequence is convergent.
Definition 4 ([
8])
. Let be a fuzzy metric space and a mapping. Then ϕ is called a Gregori and Sapena fuzzy contraction if there exists such thatfor all and . In this case, k is called the contractive constant of ϕ. We say that the mapping
is called a Tirado contraction if there exists
such that
for all
and
(see [
18]).
2. Main Results
Stimulated by Lemma 4 from [
19], we give the following lemma in the framework of fuzzy metric spaces. It will be vital to prove our main theorems.
Lemma 1. Let be a fuzzy metric space and be a sequence in X such that for each ,and for any , If is not a Cauchy sequence in X, then there exist and two sequences of positive integers such that the following sequencestend to as . Proof. Let
be a sequence in
X, which is not a Cauchy sequence. Then, by Definition 3, there exist
and sequences
and
,
such that for any
, we have
and
Using Condition (GV4), for any
and
, it is not hard to verify that
Note that, by (
3) and (
4), it follows that
If we take
in (
8), then by (
9), (
6) and the continuity of
T, we obtain
This inequality and (
7) imply
Indeed, by (
9) and (
10), on the one hand, we have
On the other hand, by (
10) and (
4), we have
Then, by (
12) and (
13), we obtain (
11).
The left proofs are similar to the above argument, and therefore we omit them. □
Remark 1. Condition (3) in Lemma 1 can be omitted if is a strong fuzzy metric space. In this case, instead of (8), we have In the following, denote by the class of all mappings satisfying the following condition: for all , implies . That is to say, F is strictly increasing on .
First of all, for the sake of the reader, we recall Definition 2.1 from [
13] as follows:
Definition 5 ([
13])
. Let be a metric space and be a mapping, satisfying the following:(F) F is strictly increasing on ;
(F) For each sequence of positive numbers, if, and only if ;
(F) There exists such that .
The mapping is said to be an F-contraction if there exists such that for all with .
Motivated by Definition 5, Definition 2.1 of [
20] and Theorem 3.1 of [
21], we introduce the concept of fuzzy
F-contraction and prove several fixed-point theorems in fuzzy metric spaces.
Definition 6. Let be a fuzzy metric space and . The mapping is said to be a fuzzy F-contraction if there exists such thatfor all , , and . Remark 2. Compared with Definition 5, Definition 6 has less conditions, since fuzzy F-contraction only requires that the mapping F strictly increases, but the F-contraction has too many conditions for mapping F. Moreover, the condition from Definition 5 is stronger than the condition from Definition 6. This is because implies . Indeed, let but , then . Thus, . This is a contradiction. In addition, fuzzy metric spaces are more general than metric spaces. Therefore, as applications, fuzzy F-contraction is more convenient than F-contraction.
Theorem 1. Let be a complete fuzzy metric space such that for all . If is a continuous fuzzy F-contraction, then ϕ has a unique fixed-point in X.
Proof. Choose
and
for all
. Suppose that
is a fuzzy
F-contractive mapping. If
holds for some
, then
is a fixed point. Assume that
for any
. By (
14), for every
and
, one has
Thus,
is a strictly increasing sequence bounded from above, so
is convergent. In other words, there exists
such that for any
, one has
Clearly, for any
and
, it follows that
Note that, by (
15) and (
16), for any
, we have
Assume that
for some
. By (
14), it implies that
Taking the limit from both sides of (
18) together with (
17), we get
which means that
. This is a contradiction with
. Therefore, we have
Further, we need to prove that
is a Cauchy sequence. Suppose that this claim is not true. Using Lemma 1 and noting that (
19) is in fact Condition (
4), then there exist
and sequences
and
such that
Letting
from both sides of the above inequality, we have
which establishes that
. This is in contradiction with
. Hence,
is a Cauchy sequence. Since
is complete, then there exists
such that
Let us prove that
is a fixed point of
. As a matter of fact, it follows immediately from (
20) and the continuity of
that
Finally, we prove the uniqueness of the fixed point. Suppose that
and
are distinct fixed points of
. Again, by using (
14), we easily obtain that
As a consequence, we have
This is a contradiction. □
Remark 3. Let be a fuzzy metric space.
- (i)
Define a strictly increasing functionfor anyand let ϕ be a fuzzy F-contraction. Then, the Gregori and Sapena fuzzy contraction (1) is obtained. Indeed, since ϕ is fuzzy F-contractive, then there existssuch that
holds for all, and.
- (ii)
Let, where, and suppose that ϕ is a fuzzy F-contraction. Then we easily obtain the Tirado contraction (2).
Corollary 1. Letbe a complete fuzzy metric space, andbe a function such that there existsand for all, , and one of the following conditions holds:
- (1)
;
- (2)
;
- (3)
;
- (4)
.
Then, ϕ has a unique fixed point in X.
Proof. For Cases (1)–(4), put
respectively. Using Theorem 1, we claim that
has a unique fixed point. □
In the following, we give a supportive example to illustrate Theorem 1.
Example 1. Let and define the usual metric for all . Let T be a product t-norm. Define a fuzzy set as follows:where , and . Clearly, satisfies the conditions of (GV1)–(GV3) and (GV5). Moreover, for all and , it is clear that that is, Condition (GV4) holds.
Let , and . Sinceholds for all , and , then Condition (14) is fulfilled. Hence, by Theorem 1, it follows that ϕ has a unique fixed point. It is worth mentioning that this example is true for arbitrary function , where is a constant with . The following example shows our contractive condition (
14) which greatly generalizes the contractive condition of [
22].
Example 2. Let be a metric space and T a t-norm. Then for all and ,defines a fuzzy set. Define a function on and let be a constant. If Condition (14) is fulfilled, thenholds for all and . That is to say, we obtain the contractive condition (1) from [22]. Theorem 2. Let be a complete fuzzy metric space and be a continuous mapping. If is a fuzzy F-contraction, then ϕ has a unique fixed-point in X.
Proof. Choose
and define a sequence
by
. If
for some
, then the proof is finished. Assume that
for any
. From the definition of the
F-contraction, we have
then
for any
. Let
. Notice that
then
, for any
. Since
is bounded, then there exists
such that
for all
. Let us prove that
for all
. Suppose the contrary, and there exists
such that
Then by (
14), for some
, one has
Using the assumption that
F is continuous, we have
which means that
. This is in contradiction with
. Thus,
for any
. Consequently,
for any
. Thus,
is a Cauchy sequence. Since
is complete, then there exists
such that
.
Taking advantage of (
14), we have
for all
. Letting
and using the assumption that
F is continuous, we have
Thus, it leads to . Therefore, .
Suppose now that
has distinct fixed-points
, then by (
14), we obtain
This is a contradiction. Hence, . □
Theorem 3. Let be a complete fuzzy metric space such that for all . Let be a mapping and . Suppose that for all , and , there exists such that Then, ϕ has a unique fixed point, provided that ϕ or F is continuous.
Proof. Choose
and define a sequence
as follows:
. By (
21), we have
for all
and
.
If
, then by (
22), we get
which is a contradiction. If
, then by (
22), we have
Following the proof of Theorem 1, we find such that .
Suppose first that is continuous. Then, by the construction of sequence , it follows that has a fixed point .
Suppose that
F is continuous. Then, by (
21), we have
for all
and
. If
, then taking
from both sides of (
23), we have
which means that
. This is in contradiction with
.
Finally, we prove the uniqueness of the fixed point. Assume that
has two distinct fixed points,
. Then, by (
21), we have
which is a contradiction. Therefore,
. □