1. Introduction
Fixed-point theory has become one of the most attractive fields in nonlinear analysis and even mathematics in general, due to its ability to find solutions of nonlinear equations, such as functional equations, matrix equations [
1,
2,
3,
4], integral equations [
5,
6,
7], etc. Therefore, it is an essential and powerful tool for solving some existence problems because of its wide applications in areas such as computer science, engineering, economics, physics, game theory and many other fields. It is well known that after Banach’s pioneering statement [
8] in 1922, thousands of results that generalize or extend the famous 
Banach contraction principle have appeared. Among those remarkable results, given an arbitrary self-operator, two main concerns must be considered: an appropriate generalized contractive condition, and a reasonable abstract metric structure of the discussed space. A contractivity condition usually guarantees that the distance between the images through the operator 
T of two distinct points of the space is lower than or equal to the distance of two such points, and also that the Picard iterative sequence 
 converges to the fixed point of 
T for any initial point 
.
Very recently, Proinov introduced in [
9] a great family of contractions to propose some novel metric fixed point theorems that cover many earlier fixed point results, including the attractive results presented by Wardowski [
10], and Jleli and Samet [
11]. He also showed that some recently presented results are actually equivalent to the special cases of Skof’s theorem [
12]. The reason why Proinov-type contractions have attracted the attention of many researchers is due to the fact that these contractions involve a wide class of auxiliary functions satisfying some very weak constraints. Consequently, a variety of contractive conditions that inherit or improve the property of Proinov-type contractions has encouraged many mathematicians to persist in the study of this class of contractions (see [
13,
14,
15]).
On the other hand, the second main development direction of fixed-point theory, above mentioned, is to study more general metric structures on the underlying spaces. A kind of significant extension of the family of metric spaces is called 
fuzzy metric spaces. In 1965, Zadeh [
16] introduced the concept of a 
fuzzy set. Since then, one of the important problems in this field of study has been to obtain an adequate notion of 
fuzzy metric space. There are several ways to introduce the notion of metric in the fuzzy setting. After the approaches due to Menger [
17] (statistical metric spaces), Kaleva and Seikkala [
18], Schweizer and Sklar [
19] (probabilistic metric spaces), Kramosil and Michálek [
20] (fuzzy metric spaces), and others (see [
21]), George and Veeramani [
22] introduced a wide class of fuzzy metric spaces which further has demonstrated to be special, according to the needs of fixed-point theory (see, for instance, [
21,
22,
23,
24,
25,
26,
27,
28]). Moreover, to overcome some shortcomings of the notion of fuzzy metric spaces in the study of fixed-point theory, an additional assumption is often introduced: the non-Archimedean property. This property establishes that the same real parameter can relate the fuzzy distance between any three points of the underlying space. This property is very useful in practice because the main examples of fuzzy metric spaces that are handled in applications satisfy such a constraint.
Inspired by Proinov’s results, in [
14], the authors introduced a new class of contractions in the setting of fuzzy metric spaces (in the sense of George and Veeramani) and proved some fixed point results that improved some previous theorems by using a very general class of restrictions on the involved auxiliary functions. Motivated by the contributions of [
9,
14], in this paper, we introduce a novel family of contractions based on the Proinov-type contractions for which the involved auxiliary functions are supposed to satisfy weaker constraints, and we describe some new results about the existence of unique fixed points in non-Archimedean fuzzy metric spaces. Furthermore, we prove that the main results in [
14] can be deduced from our main results. Simultaneously, our conclusions provide a positive partial solution to one of the open problems posed in [
14] for deleting or weakening the hypothesis of nondecreasingness on auxiliary functions.
  2. Preliminaries
For the sake of convenience and completeness, we briefly recall some basic concepts and preliminaries to be used henceforth. Let  and  be the families of all real numbers and all positive integers, respectively.
Proposition 1. If  is a function and  is a nondecreasing sequence such that , then there is  and a partial subsequence  of  such that the following holds:  Proof.  Since  is nondecreasing and bounded from above, it is convergent. Let  be its limit, that is, assume that  and  for all . If there is  such that , then  for all , that is,  for all . However, this is impossible because . Therefore,  for all . In such a case, the sequence  has an strictly increasing partial subsequence  such that  for all . As it is a partial subsequence of , we conclude that  and  as .    □
 Let  be a map from a nonempty set X into itself. If a point  satisfies , then  is a fixed point of T. We denote by  the set of all fixed points of T.
A sequence  in X is almost periodic if there is  such that  for all . A sequence  in X is infinite if  for all . A sequence  is called a Picard sequence of T based on  if  for all . Notice that in such a case,  for each , where  are the iterates of T defined by  identity,  and  for .
Definition 1. A binary operation  is called a continuous t-norm if it satisfies the following assertions:
* is commutative and associative.
* is continuous.
, for all .
 whenever  and  for all .
 Some classical examples of continuous t-norms are stated as follows.
- Product :   . 
- Minimum :   . 
- ukasiewicz :   . 
Definition 2 ([
29], Definition 4). 
A t-norm is continuous at 1-boundary if it is continuous at each point of type , where  (that is, if  and , then .) Definition 3. A fuzzy metric space in the sense of George and Veeramani is an ordered triple  such that X is a nonempty set, * is a continuous t-norm and M is a fuzzy set on  satisfying the following conditions for all  and :
.
 for all  if and only if .
.
.
 is continuous.
Then, the triple  is called a fuzzy metric space. If we replace  by ,  or ,
then the triple  is called a non-Archimedean fuzzy metric space.
 Since  implies , then each non-Archimedean fuzzy metric space is a fuzzy metric space.
For the sake of generalization, we will only assume that the t-norm is continuous at the 1-boundary.
Lemma 1 ([
30], Lemma 2.5). 
If  is a fuzzy metric space, then  is nondecreasing on  for all . Example 1. Let . Define  and the following: for all  and all . Then,  is a fuzzy metric space.
 Example 2. Let  be a metric space. Define  and, given , the following: for all  and all . Then,  is a fuzzy metric space. Taking  in the above example, we have the following: We call this fuzzy metric, induced by a metric d, the standard fuzzy metric.
 Example 3 ([
23], Example 1.3). 
Let  be a metric space and let ϑ be a nondecreasing and continuous function from  into  such that . Let * be a t-norm such that . For each  and , define the following:Then,  is a non-Archimedean fuzzy metric space.
 Definition 4. Let  be a fuzzy metric space. Then, we have the following:
 Sequence  M-convergesto  if  for all ;
 Sequence  in X is an M-Cauchysequence if for all  and , there exists  such that  for all ;
 The fuzzy metric space is called M-completeif every M-Cauchy sequence converges to some .
 Proposition 2 ([
14], Proposition 2). 
Let  be a Picard sequence in a fuzzy metric space  such that  for all . If there are  such that  and , then there is  and  such that  for all  (that is,  is constant from a term onward). In such a case,  is a fixed point of the self-mapping for which  is a Picard sequence. Proposition 3. Every Picard sequence is either infinite or almost periodic.
 Definition 5 ([
29], Definition 21). 
We say that a fuzzy space  satisfies the property  (“not Cauchy”) if for each sequence , which is not Cauchy and verifies  for all , there are  and  and two partial subsequences  and  of  such that for all , the following holds: Very recently, Proinov [
9] considered a self-mapping 
T on a complete metric space satisfying a very general contractivity condition of the form 
, and proved some fixed point theorems which extend and unify many earlier results in the literature.
Theorem 1 ([
9], Theorem 3.6). 
Let  be a complete metric space and  be a mapping such thatfor all  with , where the functions  satisfy the following conditions:- ψ is nondecreasing. 
-  for any . 
-  for any . 
Then T has a unique fixed point  and the iterative sequence  converges to  for every .
 Inspired by the above theorem, the authors in [
14] considered the Proinov-type contractivity condition defined by the following inequality:
      for all 
 with 
 and all 
, where the pair 
 belongs to a new family of auxiliary functions, which is illustrated in the following definition.
Definition 6 ([
14], Definition 4). 
We denote by  the family of pairs  of functions  verifying the following properties:- φ is nondecreasing. 
-  for any . 
-  for any . 
- if  is such that , then . 
 Here are some examples of pairs of functions belonging to :
 and , for all .
 and , for all .
The next theorem presented in [
14] describes sufficient conditions in order to ensure that a self-mapping admits a unique fixed point in the setting of fuzzy metric spaces, satisfying the non-Archimedean assumption.
Theorem 2 ([
14], Theorem 2). 
Let  be an M-complete non-Archimedean fuzzy metric space and let  be a mapping for which there exists  such thatfor all  with  and all .
Then each iterative Picard sequence  converges to the unique fixed point of T for every initial condition .
 The Proinov contractivity condition is very distinct in nature to its fuzzy version mainly due to the fact that the fuzzy metric spaces include an additional variable 
 for modeling the ambiguity about the exact value of the distance between two points. Hence, the involved auxiliary functions that appear in both contraction conditions have to satisfy very different conditions. In the first case, Proinov showed in [
9] that it is possible to develop the metric fixed point theory when 
 and 
 satisfy conditions 
–
 described in Theorem 1. Accordingly, assumptions 
–
 have also proved to be able to deal with the corresponding problem in the fuzzy setting. However, the monotone conditions “
 is nondecreasing” and “
 is nondecreasing” severely restrict the family of functions that can be used in this field of study. As a consequence, very recently, some authors have posed this question as an open problem in the framework of fixed-point theory.
In the coming section, we provide a novel family of auxiliary functions that can be employed to handle contraction conditions while enjoying the advantage that it generalizes the family of functions given in [
14] by avoiding the monotone condition, which is replaced by a more algebraic property. Moreover, the assumption of monotonicity on auxiliary functions is removed in our main results, which gives a positive partial solution to Open Problem 2 in [
14]: 
can the hypothesis of nondecreasingness be removed (or replaced by a weaker assumption) from Theorem 2?  3. The Contractive Condition and a Class of Auxiliary Functions
We start this section by introducing a new family of auxiliary functions as follows. Let  be two functions satisfying the following properties:
- for every , one has ; 
-  for each ; 
- if  such that , then . 
We shall denote by  the family of all pairs of mappings  that satisfy the conditions –. It is easy to check that this family is nonempty, even considering non-continuous functions. The following ones are some examples of pairs  belonging to :
-  and  for all . 
-  and  for all . 
-  and  for all . 
-  and  for all  and . 
-    and    
Proposition 4. The condition  implies the condition  stated as follows:  Proof.  Suppose that 
 holds but 
 is false. Then, there is 
 such that the following holds:
        
Let us define 
, that is, we are assuming the following:
        
As this limit inferior is 
, then there exists a sequence 
 such that the following holds:
        
Since 
 and 
 hold, then the limit 
 exists, and it is equal to the following:
        
Then by taking limits in the following expression,
        
        we deduce the following:
        
As a result, we have the following:
        
        which contradicts the condition 
.    □
 Now, we show that the condition  can be equivalently stated in an alternative way by using series of non-negative terms.
Lemma 2. Let  be two functions satisfying the following:
-  for any . 
Then, the following conditions are equivalent:
-    for any . 
- For each nondecreasing sequence  such that  the series of positive terms  diverges. 
- For each strictly increasing sequence  such that  the series of positive terms  diverges. 
 Proof.   Let 
 be a nondecreasing sequence such that 
. Consider the real number
        
        which is strictly positive by 
. Therefore,
        
Hence, the series of positive terms  diverges.
 It is apparent.
 Reasoning by contradiction, suppose that there exists 
 such that the following holds:
        
Then one can find a sequence 
 such that the following holds:
        
Without loss of generality, we assume that 
 is strictly increasing. Then there exists 
 such that the following holds:
        
Similarly, we can also find 
 such that the following holds:
        
By induction, we can find a partial subsequence 
 of 
 such that the following holds:
        
Thus, the series  converges and  as . This contradicts the condition .    □
 Corollary 1. If we replace the condition  in Lemma 2 by the following,
- For every , one has , 
then Lemma 2 remains true.
 Proof.  It follows from the fact that  implies  (use ).    □
 Next, we introduce a novel property in order to ensure that fixed point theory is able to be developed under these conditions.
Definition 7. A function  satisfies the property  when the following condition holds:
- If there is a nondecreasing sequence  such that , then . 
 We must clarify that when there is no nondecreasing sequence  such that , we accept that the function f satisfies the property . Such a condition can be stated in a more convenient way for proving some results.
Proposition 5. A function  satisfies the property  if, and only if, the following holds:
- If there exists a sequence  converging to  such that  for all  and , then . 
 Proof.  The condition is clearly necessary. To prove that it is also sufficient, suppose that there is a nondecreasing sequence 
 such that 
. By Proposition 1, there is 
 and a partial subsequence 
 of 
 such that the following holds:
        
Using the assumption, we deduce that , so  and f satisfies the property .    □
 In the next result, we show some examples of functions satisfying the property .
Lemma 3. Let  be a function verifying at least one of the following conditions:
- 1. 
- f is bounded from above. 
- 2. 
- f is nondecreasing. 
- 3. 
- f is left-continuous. 
- 4. 
- f is upper semi-continuous. 
- 5. 
- f is continuous. 
Then, there does not exist any nondecreasing sequence  such that . As a consequence, f satisfies the property .
 Proof.  In the first two cases, it is impossible that there is a sequence  such that  because f is bounded from above (in the second case,  for all ). Therefore, f satisfies the property .
Next, we assume by contradiction. Suppose that there is a nondecreasing sequence 
 such that 
. By Proposition 1, there is 
 and a partial subsequence 
 of 
 such that the following holds:
        
Case 3. If 
f is left-continuous, then the following holds:
        
        which contradicts that 
.
Case 4. Since 
f is upper semi-continuous at 
, associated to 
, there is 
 such that the following holds:
        
Since  as , there exists  such that  and  for all . Therefore  for all , which contradicts .
Case 5. The proof is straightforward from the fact that continuity implies upper semi-continuity.    □
 Corollary 2. If  is a pair of functions belonging to , then the function φ satisfies the property .
 Proof.  We have the following from Lemma 3, taking into account that  is nondecreasing.    □
 Note that Lemma 3 shows some classes of functions satisfying the property . However, there exist functions satisfying the property , which do not satisfy any of the conditions of Lemma 3, as we show in the following result.
Proposition 6. Let  be a strictly increasing sequence in  converging to 1 and let  be two functions such that  and G is bounded from above. Then the function  given by satisfies the property . Furthermore, if  and  denote the sets of discontinuity points of f and G, respectively, then the following holds: In addition to this, the function f does not satisfy any of the conditions of Lemma 2.
 Proof.  To prove that 
f satisfies the property 
, we use the characterization given by Proposition 5. Suppose that there is a sequence 
 converging to 
 such that 
 for all 
 and 
. Since 
G is bounded from above, there is 
 such that 
 for all 
. Taking into account that 
, there is 
 such that 
 for all 
. Hence, 
 for all 
, that is, 
 for all 
. As 
 and 
 for all 
, then 
 converges to 
. However, as 
 is a partial subsequence of 
, and 
, then the following holds:
        
		Therefore, 
 and 
f satisfies the property 
. The second part follows from the fact that 
 for all 
, so 
f can be discontinuous at 
 and also at the points where 
G is discontinuous.
        Finally, the function 
f does not satisfy any of the conditions of Lemma 2:
        
- It is not bounded from above because ; 
- It is not nondecreasing because if  - , then
             
- f does not verify any kind of continuity at the points  because for  and , we have . 
        This completes the proof.    □
 The previous result permits to introduce a great variety of functions satisfying the property  that do not verify any of the conditions of Lemma 2.
Example 4. If the sequence  is given by  for  and  is the function defined by the following: and then f satisfies the property  but it does not satisfy any of the conditions of Lemma 3. This case corresponds to the functions  and  for all  in Proposition 4.
   4. Fixed-Point Theory in the Setting of Non-Archimedean Fuzzy Metric Spaces
In this section, we introduce the main results of this work in the setting of non-Archimedean fuzzy metric spaces. The main advantages are based on the fact that we do not assume that any of the auxiliary functions involved in the contraction conditions are monotone. This forces us to do some additional work in order to control the behavior of the sequences involved in the proofs. For instance, in the following lemma, we introduce a new condition on the non-Archimedean fuzzy metric space (in the sense of George and Veeramani) in order to guarantee that the sequences involved in the proofs of fixed-point theorems satisfy additional properties, which are of great importance henceforth.
Lemma 4. Each non-Archimedean fuzzy metric space (in the sense of George and Veeramani)  whose t-norm * is continuous at the 1-boundary satisfies the following property (called ): if  is a sequence which is not M-Cauchy and it verifies then there exists  and , and two partial subsequences  and  of  such that  Proof.  It follows by applying the same arguments given in Theorem 22 of [
29].    □
 Notice that the main difference between Definition 5 and Lemma 4 is the placement of the inequalities (
1) and (
3), which plays an important role henceforth (in order to guarantee that some sequences converge from the left). Additionally, notice that in the following statements, we do not assume any kind of monotonicity on the auxiliary functions 
 and 
.
Theorem 3. Let  be an M-complete non-Archimedean fuzzy metric space whose t-norm is continuous at the 1-boundary, and let  be two functions such that . Let  be self-mapping, satisfying the following contractivity condition: Then, each iterative Picard sequence  converges to the unique fixed point of T for every initial condition of .
 Proof.  To show the existence of the fixed point of 
T, let us start with an arbitrary point 
. We define the sequence 
 by 
 for all 
 and denote 
 for all 
 and all 
. Indeed, if there exists 
 such that 
, then 
 is a fixed point of 
T. So, we next suppose that 
 for all 
, which means that the following holds:
        
Taking 
 and 
 in the contractivity condition (
4), we deduce that for all 
 and all 
, the following holds:
        
First, we aim to prove that the sequence  is nondecreasing. Let  be arbitrary. We consider two cases depending on whether  or .
Case 1. If 
, then we have the following:
        
In such a case, condition  leads to . So, we can say that .
Case 2. If 
, from condition 
 and (
4), we can deduce the following:
        
        which means that 
. Hence, the sequence 
 is nondecreasing, and one can find 
 such that 
, as 
, for all 
.
Next, we prove that 
 for all 
. Let 
 be arbitrary. If there exists 
 such that 
, then 
, so 
. In this case, we have that 
 for all 
, which implies that 
. Next, we suppose the following:
        
In this case, by (
4) and condition 
, we have the following:
        
        and
        
In order to prove 
, suppose on the contrary that 
. In such a case, the following holds:
        
Taking into account that
        
        it follows that
        
Taking limits in (
5) as 
, we have the following:
        
However, this contradicts the condition 
 because the following is true:
        
Hence, 
 for all 
. From Proposition 3, we can claim that the sequence 
 is either almost periodic or infinite. For the first case, one can easily deduce that the sequence 
 is almost constant, that is, there exists 
 and 
 such that 
 for all 
. In this case, 
 is a fixed point of 
T, and the part of the proof about the existence of the fixed point of 
T is completed. So, we suppose that 
 for any 
 such that 
 (that is 
 is an infinite sequence). In this case, we have the following:
        
We continue the proof in the latter case, where we keep in mind that (
6) holds.
Next, we aim to prove that 
 is a 
M-Cauchy sequence. Suppose that 
 is not an 
M-Cauchy sequence. According to Lemma 4, one can find 
 and 
 and two partial subsequences 
 and 
 of 
 such that for all 
,
        
        and also
        
Since 
, there exists 
 such that the following holds:
        
Therefore, from (
4), for all 
, we obtain
        
        which implies the following:
        
Then it follows from (
8) that 
 and 
. Taking the limit superior in (
9), we obtain the following:
        
        which contradicts the condition 
. Thus 
 is an 
M-Cauchy sequence. As 
 is 
M-complete, then there exists 
 such that 
M-converges to 
, that is,
        
To prove that 
 is a fixed point of 
T, assume, by contradiction, that 
. As the sequence 
 is infinite, then there exists 
 such that 
 and 
 for all 
. From (
4), we have the following:
        
        for all 
 and 
. To prove that 
, we have two cases.
Case 1. If 
, then
        
In such a case, condition  guarantees that . We can say .
Case 2. If 
, from (
4), we have the following:
        
In both cases, we have that
        
By (
9), we conclude that
        
        which means that the sequence 
 is 
M-convergent and it converges to 
. The uniqueness of the limit of a convergent sequence in a fuzzy metric space shows that 
. To check the uniqueness of the fixed point, we assume that 
 are two distinct fixed points of 
T. Since 
, then for all 
, we have
        
        which together with condition 
, implies that
        
If we suppose that 
 for some 
, then we have the following:
        
        which is a contradiction. Hence, 
 for all 
, but this contradicts that 
 and 
 are distinct. Therefore, the mapping 
T has a unique fixed point.    □
 Remark 1. From Axiom , we can easily find the possible case in which there exist two distinct points  satisfying  for some . In such a case, we deduce from Lemma 1 that  for all , which shows that the contractivity condition stated in (2) includes the case that  for some . Thus, the conclusion of Theorem 3 remains valid by removing the condition  on the contraction constraint in inequality (2), which is stated as the following corollary.  Corollary 3. Let  be an M-complete non-Archimedean fuzzy metric space under a continuous t-norm * at the 1-boundary, and let φ and η be two mappings such that . Additionally, consider a mapping  satisfying the following contractive condition: Then, each iterative Picard sequence  converges to the unique fixed point of T for every initial condition of .
 In the following result, we involve the property .
Theorem 4. Let  be an M-complete non-Archimedean fuzzy metric space whose t-norm is continuous at the 1-boundary, and let  be two functions such that φ is left-continuous on  and they satisfy the following conditions:
- For every , one has ; 
- ; 
- If  is such that , then ; 
- At least one of the functions of the pair of  satisfies the property . 
Let us also consider a mapping  satisfying the following contractive condition:Then, each iterative Picard sequence  converges to the unique fixed point of T for every initial condition of .  Proof.  Let  be an arbitrary point. We define the sequence  by  for all  and we denote  for all  and all . A similar analysis to that given in the proof of Theorem 3 shows that the sequence  is nondecreasing and converges to  as  for all .
Next, we show that 
. By (
4), we obtain that
        
From the above inequality, we obtain the following:
        
It follows that 
. At the same time, since 
, we deduce from condition 
 that 
 for all 
 and 
, so 
. Therefore, by property 
, we have that
        
Likewise, we also claim that the sequence 
 is either almost periodic or infinite, and in this last case, the following holds:
        
Now we claim that 
 is a 
M-Cauchy sequence. Suppose that 
 is not an 
M-Cauchy sequence. According to Lemma 4, one can find 
 and two partial subsequences 
 and 
 of 
 such that for all 
, the following holds:
        
        and also
        
Since 
, there exists 
 such that the following holds:
        
Therefore, from (
4), for all 
, we obtain the following:
        
        which implies the following:
        
This means, by (
10), that
        
Then it follows from (
10) that 
 and 
. Since 
 is left continuous at 
, taking limits as 
 in (
11), we have the following:
        
        which contradicts the condition 
. Thus, 
 is a 
M-Cauchy sequence. As 
 is 
M-complete, then there exists 
 such that 
 is 
convergent and converges to 
, that is,
        
The rest of the proof to show that  is the unique fixed point of T follows as in the proof of Theorem 3.    □
 Corollary 4. Let  be an M-complete non-Archimedean fuzzy metric space whose t-norm * is continuous at the 1-boundary and let , satisfying where  are two functions satisfying the following conditions:
η is nondecreasing;
 for every ;
φ is upper semi-continuous from the left;
 If  is such that , then .
Then, each iterative Picard sequence  converges to the unique fixed point of T for every initial condition of .
 Proof.  It follows from 
 and 
 that 
 satisfies the condition 
. Let any 
. Using 
 and 
, we have the following:
        
Since  is nondecreasing, then we have . Consequently, the condition  is verified. Therefore, together with condition , the conclusion now follows from Theorem 3.    □
 Here are two examples to illustrate the validity of Theorem 3 and Theorem 4.
Example 5. Let  and  be the product t-norm. Define the following: Apparently,  is a M-complete non-Archimedean fuzzy metric space whose t-norm is continuous at the 1-boundary. Define  by  and  for all , and let , An easy verification shows that  satisfies all the conditions required in Theorem 3. It remains to verify that T satisfies the contractivity condition. Let  be such that . Then, , say .
Therefore, the contractivity condition is fulfilled, and T has a unique fixed point (which is 1).
 Example 6. Let  and  be the product t-norm. Define the following: It is obvious that  is a M-complete non-Archimedean fuzzy metric space whose t-norm is continuous at the 1-boundary. Define  as follows: Let  and let  be  for all . The pair  satisfies all the conditions given in Theorem 4. Let us check that T satisfies the contractivity condition. Let  such that . Then, , say . Therefore, the contractivity condition is fulfilled, and T has a unique fixed point (which is 0).
 In the following corollary, we highlight that Theorem 2 can be deduced as a consequence of Theorem 3.
Corollary 5. Theorem 2 can be deduced from Theorem 3.
 Proof.  First of all, it directly follows from properties 
 and 
 that 
 satisfies the condition 
. Additionally, due to the monotonicity of 
, we deduce that there exists 
, which coincides with 
 for every 
. So, from 
, we have for any 
 the following:
        
Thus, condition  also holds. Moreover, condition  follows from property . Therefore, the conclusion of Theorem 2 can be obtained from Theorem 3.    □
 Remark 2. In [14], the authors remarked that the conclusion of Theorem 2 remains true while replacing the property  by , stated in Corollary 2, [14], as follows: Indeed, we can verify that under the property , the condition  implies the property . To prove it, let  be such that . To check that , we assume that . From property , we have the following: which contradicts the property . Therefore, . Hence, . Consequently, the conclusion of Corollary 2 in [14] can also be obtained from Theorem 3.  Corollary 6. Let  be a complete metric space, let  be two mappings such that  and let ϑ be a nondecreasing and continuous function from  into  such that . Let  be a mapping for which there exists  such that for all  with  and all . Then, each iterative Picard sequence  converges to the unique fixed point of T for every initial condition of .
 Proof.  As we commented in Example 3, if * is a t-norm such that 
 and we define 
 such that
        
        for each 
 and all 
, then 
 is a non-Archimedean fuzzy metric space. Since 
 is complete, so is 
. Further, the contractivity condition (
12) is equivalent to (
2). Therefore, Theorem 3 guarantees the validity of the conclusion.    □