Abstract
In this study, we initiate the concept of fuzzy --contraction and establish some fixed point results involving a -transitive binary relation and fuzzy -simulation functions, by employing suitable hypotheses on a fuzzy metric space endowed with a binary relation. The presented results unify, generalize, and improve various previous findings in the literature.
Keywords:
fuzzy metric spaces; fixed point; fuzzy contraction; simulation functions; binary relation MSC:
37C25
1. Introduction
As it covers a broad variety of mathematical tools for addressing many sorts of issues that arise from other fields of mathematics, fixed point theory is one of the most important and fundamental study domains in nonlinear functional analysis. Since its establishment, the Banach contraction principle has been researched and improved in several abstract metric spaces using various techniques. It is a key component of the metric fixed point result. A novel direction in fixed point theory research was recently pioneered by Khojasteh et al. [1] by using a class of control functions known as simulation functions. Cho [2] discussed a new type of contraction known as the L-contraction and demonstrated some fixed point results in a generalized metric space for such a contraction.
Another significant and thriving area of fixed point theory is relation-theoretic fixed point results, which was first introduced by Turinici [3] by putting out the idea of an order-theoretic fixed point result. A natural order-theoretic interpretation of the Banach contraction principle was offered in 2004 by Ran and Reurings [4], who also suggested applying their findings to matrix equations. By merging several well-known pertinent order-theoretic ideas with an arbitrary binary relation, Alam and Imdad [5] successfully demonstrated a relation-theoretic variant of the Banach contraction principle.
The fuzzy set concept was developed by L.A. Zadeh [6] in 1965 as a novel mathematical method for interacting with ambiguity and vagueness in the physical world. The idea of fuzzy sets has become a crucial and significant modeling tool.
The theory of fuzzy sets has emerged into an important and critical modeling tool. Kramosil and Michalek [7] initiated a fuzzy metric space by expanding on the idea of a probabilistic metric space to the fuzzy frame. Moreover, in order to obtain a Hausdorff topology, George and Veeramani [8] reconfigured Kramosil and Michalek’s concept of a fuzzy metric space. In this line, Gregori and Sapena [9] presented the idea of fuzzy contractive mappings, who also obtained certain fixed point outcomes. The concept of -contractive mappings was later proposed by Mihet [10]. Recent research by Abdelhamid Moussaoui et al. [11] (see also [12]) introduced the idea of -contractions and initiated a fuzzy metric version of the simulation function technique. Further research consequences of numerous forms of contractions in fuzzy metric spaces and other structures are provided in [11,12,13,14,15,16,17,18]
In this study, we introduce the idea of a fuzzy --contraction and develop some fixed point results encompassing the -transitive binary relation and fuzzy -simulation functions by using appropriate hypotheses on the fuzzy metric space equipped with a binary relation. The results combine, generalize, and enhance a number of prior research results.
2. Preliminaries
Definition 1
([19]). A continuous binary operation is called a continuous t-norm if it is commutative, associative, and
- 1.
- for all ;
- 2.
- whenever and , for all .
Example 1.
The following are some classic continuous t-norm examples: minimum t-norm, that is, , Lukasiewicz t-norm, , and product t-norm , for all .
Definition 2
([8]). Let be a nonempty set, a fuzzy set, and ⋏ a continuous t-norm. The triple is called a fuzzy metric space (in short ) if
- ;
- if and only if ;
- ;
- ;
- is continuous;
for all and .
Example 2
([8]). Let be a metric space. Define the function by , for all , . Then, is an .
Example 3
([8,20]). Let be a nonempty set, be an increasing continuous function and be a one-to-one function. For fixed , define by
Then, is an .
Example 4
([8,20]). Let be a metric space and be an increasing continuous function. Define by
Then, is an .
Lemma 1
([13]). is nondecreasing for all in .
Definition 3
([8]). Let be an .
- 1.
- A sequence is called convergent to iff for all
- 2.
- A sequence is called a Cauchy sequence iff for each and , there exists such that for all
- 3.
- A complete is an in which every Cauchy sequence is convergent.
The idea of fuzzy contractive mapping was first proposed by Gregori and Sapena [9] as follows.
Definition 4
([9]). Let be an . A mapping is called fuzzy contractive mapping if there exists such that
for each and
Definition 5.
We say that the function is a fuzzy -simulation function if
- ;
- for all ;
- if are sequences in such that then .
We denote by the class of all fuzzy -simulation functions.
Example 5.
Let be the function given by
where Then, .
Example 6.
Let be the function given by
where such that α is continuous, increasing, and , for all . Then, .
Example 7.
Let be defined by
for all , where such that for all and if are sequences in with . Then, .
In 2020, Saleh et al. [15] proposed the notion of fuzzy -contractive mappings with the help of the class of the functions fulfilling the following conditions:
- ()
- is non-decreasing and continuous,
- ()
- if and only if , where is a sequence in .
The following fundamental relation-theoretic notions, concepts, and associated results are required in order to establish our results.
Definition 6
([21]). A subset of is called a binary relation on . If , we say that ω is related to ϖ under ( or ). We write if either or .
Note that is a binary relation on termed as the universal relation. Trivially, the empty relation on is represented by ∅.
A binary relation on a nonempty set is called reflexive if for all , transitive if and imply for all , and -transitive if it is transitive in .
Definition 7
([5]). Let be a nonempty set and be a binary relation on . A sequence is called an -preserving sequence if for all .
Remark 1.
If every -preserving Cauchy sequence is convergent in , then we say that is -complete. Note that, for each given binary relation , every complete metric space is -complete. In particular, -completeness specifically becomes the ordinary completeness under the universal relation.
Definition 8
([22]). A binary relation on is called a β-self-closed if for any -preserving sequence such that
there exists a subsequence of with .
Definition 9.
Let be an , is a binary relation in . A mapping is called -continuous at if for all -preserving sequence such that , we have . is called -continuous if it is -continuous at each point of .
Remark 2.
Every continuous mapping is -continuous, for any binary relation . Particularly, under the universal relation, the notion of -continuity coincides with usual continuity.
Definition 10
([23]). Let be a nonempty set and a binary relation on . For , a path of length p in from ω to ϖ is a finite sequence fulfilling the following:
- (
- and ;
- (
- for all q.
Observe that a path of length p involves elements of .
Definition 11
([24]). If for all there exists a path from ω to ϖ in , then the subset E is called -connected.
Let be a nonempty set and be a self-mapping. The following notations will be used.
3. Main Results
In this part, we begin by defining the concept of a fuzzy --contraction in .
Definition 12.
Let be an , is a binary relation in , and . We say that is a fuzzy --contraction with respect to if
where
Proposition 1.
Let be an , is a binary relation in , and is a fuzzy --contraction with respect to . Then, the following are complement to each other:
- for all with ,
- for all with .
Proof.
The implication implies is trivial. Conversely, suppose that holds. Consider with , then follows directly from . Otherwise, if , taking into account the symmetry of the fuzzy metric and , we obtain
Thus, implies . □
Theorem 1.
Let be an endowed with a binary relation and be a self-mapping. Suppose that
- (i)
- is -complete;
- (ii)
- (iii)
- is -closed and is -transitive;
- (iv)
- is a fuzzy --contraction with respect to some ;
- (v)
- Either is β-self-closed or is -continuous.
Then, has a fixed point.
Proof.
As , let be an arbitrary point such that . Now, define a Picard sequence by for all . Using the fact that is -closed and , we have
Hence,
If there exists such that , then is a fixed point. Assume that for all , that is, for all , which means that . Since is a fuzzy --contraction with respect to , we have
Then,
As is nondecreasing, we derive
We derive that is a nondecreasing sequence of positive real numbers in . Thus, there exists such that for all . We prove that
On the contrary, assume that for some . Now, if we take the sequences and and apply , we obtain
Which is a contradiction. Then,
From , we have
for all . Next, we prove that the sequence is Cauchy. Reasoning by contradiction, assume that is not Cauchy. Then, there exists , and two subsequences and of with for all such that
Taking into consideration Lemma 1, we obtain
By taking as the lowest index fulfilling (6), we have
Taking into account that the sequence is -preserving and is -transitive, thus , and we have
Then,
As is nondecreasing, we obtain
Taking the limit as in both sides and using (4), we obtain
In addition,
As is a fuzzy --contraction with respect to , and making use of , we obtain
A contradiction. Thus, is an -preserving Cauchy sequence in . As is -complete, there exists such that .
If is -continuous, then
Thus, is a fixed point of .
Now, if is -self-closed. As is an -preserving sequence and , there exists a subsequence of such that for all and Proposition 1, we obtain
We prove that is a fixed point of . By contradiction, suppose that is not the case, that is, for all . From (12), we have
Then, . As is nondecreasing, we obtain
Passing to the limit as in the last inequality, we derive that
Which is a contradiction. Thus, , that is, , which means that is a fixed point of . □
Theorem 2.
In addition to the assumptions of Theorem 1, if for all , then has a unique fixed point.
Proof.
We argue by contradiction, suppose that and are two distinct fixed points of . As for all , there exists a path of some finite length q in from to such that
As is transitive, we have
Taking into account that is a fuzzy --contraction with respect to , we obtain
A contradiction. Thus, the fixed point of is unique. □
The following corollary is a sharpened version and relation-theoretic analog of the main finding (Theorem 3.1, [15]) due to Saleh et al. [15].
Corollary 1.
Let be an endowed with a binary relation and be a self-mapping. Suppose the following:
- (i)
- is -complete;
- (ii)
- (iii)
- is -closed and -transitive;
- (iv)
- There exists such thatfor all , with and ;
- (v)
- Either is β-self-closed or is -continuous.
Then, has a fixed point. Moreover, if for all , then we obtain the uniqueness of the fixed point.
Proof.
The conclusion can be drawn from Theorems 1 and 2 by defining for all . □
Corollary 2.
If we assume that is a transitive binary relation in Theorems 1 and 2, then the results are still valid since any transitive binary relation is -transitive for a certain self-map on .
Corollary 3.
If the -completeness of is substituted by completeness and -continuity by continuity, Theorem 1 remains true.
Proof.
It follows as a natural consequence of Remarks 1 and 2. □
4. Conclusions
In the context of s with a binary relation, we developed the idea of the fuzzy --contraction and explored some relevant findings about the existence and uniqueness of a fixed point for such mappings via control functions, without the completeness criterion, which in turn generalizes, extends, and combines a number of findings in the literature. It is important to note that by properly integrating many examples of the control function , we can particularize and infer a wide range of potential outcomes from our core findings. Our research could pave the way for fresh research in fuzzy fixed point theory and it is conceivable to investigate relation-theoretic fuzzy metrical coincidence and common fixed point outcomes using the obtained results and notions. Moreover, these findings are generalizable to more abstract distance spaces, including partial fuzzy metric spaces, fuzzy b-metric spaces, and others of the same nature.
Author Contributions
Conceptualization, A.M., V.T., M.P., S.R. and S.M.; Methodology, A.M. and S.M.; Validation, A.M., V.T., S.R. and S.M.; Formal analysis, A.M., V.T., M.P., S.R. and S.M.; Investigation, A.M. and M.P.; Writing—original draft, A.M., V.T., M.P., S.R. and S.M.; Writing—review & editing, A.M., V.T., M.P. and S.R.; Supervision, A.M., S.R. and S.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data is contained within the article.
Acknowledgments
This work was supported by the Serbian Ministry of Education, Science and Technological Development (Agreement No. 451-03-47/2023-01/200122).
Conflicts of Interest
The authors declare no conflict of interest.
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