Abstract
In recent years, complex-valued fuzzy metric spaces (in short CVFMS) were introduced by Shukla et al. (Fixed Point Theory 32 (2018)). This setting is a valuable extension of fuzzy metric spaces with the complex grade of membership function. They also established fixed-point results under contractive condition in the aforementioned spaces and generalized some essential existence results in fixed-point theory. The purpose of this manuscript is to derive some fixed-point results for multivalued mappings enjoying the least upper bound property in CVFMS. Furthermore, we studied the existence theorem for a unique solution to the Fuzzy fractional Volterra–Fredholm integro-differential equations (FCFVFIDEs) as an application to our derived result involving the Caputo derivative.
Keywords:
complex-valued fuzzy metric space; fuzzy mappings; fixed-point; cauchy sequence and contractive condition; least upper bound property MSC:
Primary 47H10; Secondary 54H25
1. Introduction
It is a well-known fact that metric fixed-point theory is developed by Banach fixed-point theorem. This result is widely applied in nonlinear functional analysis. Indeed, it is the abstract setting of the successive approximation method to investigate the solution of differential equations. Additionally, the advances made in fixed-point theory are applied to differential equations and integral equations. Specifically, fixed-point theory has applications in nonlinear fractional differential equations.
Mathematical tools such as mathematical logics and mathematical arithmetic etc. are used to modal many natural phenomena. However, it is not easy to obtain the deterministic models of mathematical problems using the above-mentioned tools. Such models also have some vagueness and errors. To obtain or reduce the errors and vagueness, it is essential to introduce another way of modeling and investigating solutions. In 1965, Zadeh introduced the fuzzy sets concept [1]. In recent years, fuzzy sets were applied in many applied branches of science and engineering. This concept has clear advantages over deterministic-stochastic problems. Observing these applications, the mathematical models are converted to fuzzy fields, which form a natural association with between crisp and fuzzy problems, as well as having a natural association between fuzzy fractional and fuzzy non-fractional problems.
Agarwal et al. solved fuzzy fractional differential equations in the sense of the Riemann–Liouville dirivative. Following this, several authors have extended the definitions of generalized gH-differentiability, Caputo derivative and different types of integral equations in fuzzy field. For example Ahmad et al. [2] performed an analysis of fuzzy fractional order Volterra–Fredholm integro-differentials. In [3], the authors studied fuzzy fractional differentail equations under a generalized Caputo derivative. Hoa [4] studied a fuzzy fractional functional integral and differental equations. Moreover, fuzzy fractional functional differential equations under Caputo gH-differentiability were investigated in [5]. Using the Caputo–Katagampola fractional derivative approach, Hoa et al. [6] studied fuzzy fractional differential equations. In 2020, using the concept of kernal -functions, Vu and Hoa [7] investigated the applications of contractive-like mapping principal to fuzzy fractional integral equations. A variety of fuzzy fractional differential and integral equation applications, in different fields of the sciences, such as electrochemistry, physics, economy, chemistry, electromagnetic, viscoelasticity and control theory, are present in the literature—for example, [8,9,10,11,12,13,14].
Classically, a fuzzy set is associated with a membership function, which assigns a numerical value ranging between zero and one to each of its elements. In other words, that fuzzy set is the generalization of the traditional set. Ramot et al. proposed complex fuzzy sets, which are characterized by complex valued membership functions [15]. This extension looks like an extension from real numbers to complex numbers. After this, complex fuzzy sets and logics were systematically reviewed by some authors [16]. Nadler introduced the concept of multivalued contraction mappings and obtained the fixed-point results [17]. Heilpern established the idea of fuzzy contractions, which represents the fuzzy generalization of Banach’s contraction principle [18]. Continuing this, Weiss and Butnairu also obtained fixed points of fuzzy mappings [19,20]. Kramosil and Michalek established the notion of fuzzy metric space [21]. Grabiec followed the work of Kramosil, Michalek and obtained the fuzzy version of the Banach contraction principle [22]. George and Veeramani modified the setting of fuzzy metric spaces due to Kramosil, and defined the Hausdorff topology of fuzzy metric space [23]. Following this, many authors have studied different fixed-point results in fuzzy metric spaces [24]. Furthermore, there are many extensions of metric space terms, including fuzzy metric spaces.
Very recently, Shukla et al. have initiated a new approach to complex valued fuzzy metric space, viewing it as a generalization of fuzzy matrices by replacing [0, 1] for the grade of membership with the complex unit closed interval [25]. They obtained some significant fixed-point results with valid illustrated examples. This work is quite new and interesting, so researchers are interested in generalizing more results in this setting and discussing its applications.
Due to important applications of rational type contractions in complex valued metric spaces, and the the work carried out in [25], using Dass and Gupta’s [26] rational type expression, some fixed-point results are established in the context of CVFMS. For the authenticity of the presented results, an example and existence theorem for the solution of fuzzy fractional Volterra–Fredholm integro-differential equation under a generalized fuzzy Caputo derivative is also discussed.
2. Preliminaries
In this section, we present some basic definitions and lemmas of CVFMS and prove some properties for multi-valued mappings in this setting. In This manuscript is labeled
- (I)
- The set of complex numbers by ,
- (II)
- where ,
- (III)
- ,
- (IV)
- ,
- (V)
- (VII)
- .
Define a partial ordering ⪯ on by iff The relations and indicate that
- i.
- ,
- ii.
- .
For iff Suppose Let the exists and it is the lower bound of , that is and for each lower bound of then is called the greatest lower bound(glb) of In the same fashion, one can define the least upper bound(lub) of
Definition 1
([25]). A sequence is monotonic with respect to ⪯ if either or ∀
Definition 2
([25]). A binary relation is called a complex valued -norm if the conditions given below hold:
- (1)
- (2)
- whenever
- (3)
- (4)
- ;
for all
Definition 3
([25]). If is a non-empty set and ⋄ is continuous complex-valued -norm, ℧ a complex fuzzy set on , observing the following conditions:
- (1)
- ;
- (2)
- for every if and only if ;
- (3)
- ;
- (4)
- (5)
- is continuous for all and .
Then is known to be a CVFMS. The function represents the degree of nearness and non-nearness between ℏ and λ with respect to the complex parameter , respectively.
Example 1.
Let (set of natural numbers). Define ⋄ by for all Define complex fuzzy set ℧ as
for each Then is CVFMS.
Definition 4
([25]). Let be a non-empty set. A complex fuzzy set is characterized by a mapping defined on and ranging closed unit complex interval
Definition 5
([25]). Suppose is CVFMS. A sequence in is called a Cauchy sequence if
The CVFMS is said to be complete if every Cauchy sequence converges to an element of .
Definition 6
([25]). For assumed and , we fixed
Lemma 1
([25]). If is a CVFMS. If and then ∀
Lemma 2
([25]). Let be CVFMS. A sequence in converges to iff holds ∀
Lemma 3
([25]). Let be CVFMS. If and then
Lemma 4
([25]). Let be CVFMS. A sequence in converges to iff holds ∀
Remark 1
([25]). Suppose ∀ and ⪯ are in partial order, then:
- (a)
- If the sequence is monotonic and there exists with then there exists such that
- (b)
- Although the partial ordering ⪯ is not a linear order on , the pair is a lattice.
- (c)
- If , then and both exist for with ∀.
Remark 2
([25]). Let ∀ then
- (a)
- If ∀ and then
- (b)
- If ∀ and then
- (c)
- If and then
A relatively important notion in complex fuzzy set theory is -level set. Let be a complex fuzzy set in . Then, the function values of are said to be the grade of membership of . The collection of all those elements in belonging to have at least a degree , which is called the -level set and denoted by . That is,
Please note that the -level representation of fuzzy valued function is expressed by
Definition 7.
Let be a fuzzy mapping. An element is known to be a fuzzy fixed point of if there exists an such that , where is a collection of complex fuzzy sets.
Let be a CVFMS. We denote the family of all nonempty, closed and bounded subsets of a complex valued fuzzy metric space by . From now on we denote for , for and
and
For , we denote
Let be a multivalued mapping from into , for and , we define
Thus for
Definition 8.
In a CVFMS a subset K of is said to be bounded from above if there exists some , such that for all .
Definition 9.
In a CVFMS, a multivalued mapping is said to be bounded from above if and only if, for each , there exists , such that
for all
Definition 10.
A fuzzy mapping is supposed to have an upper bound property on , if, for any related with some , the multivalued mapping defined by
is bounded from above, i.e., for there is an element with
for each , where is known as the upper bound of ϝ.
Lemma 5.
Let be CVFMS.
- (i)
- Let . If ( then
- (ii)
- Let and If then for all or for all
Proof.
- (i)
- Let be a CVFMS. Suppose then . But , therefore . Consequently . Hence .
- (ii)
- Suppose andyields thatSince implies that for all Similarly for all
□
Remark 3.
Let be CVFMS. If , then is a fuzzy metric space. Moreover, for , then is the Hausdorff distance induced by
Definition 11.
Let be CVFMS and let be fuzzy mappings from into . A point is called a fuzzy fixed point of if , for some
Definition 12.
Let be CVFMS and the fuzzy mapping satisfies the least upper bound property (lub) on , if for any and , the least upper bound (lub) of exists in for all and . If be the lub of Then,
Definition 13.
The generalized Hukuhara difference of two fuzzy numbers is defined as follows
Definition 14
([2]). The generalized Hukuhara derivative of a fuzzy-valued function at is defined as
if , we say that is generalized Hukuhara differentiable -differentiable) at .
Additionally, we say that is -differentiable at if
and that is -differentiable at if
Definition 15.
Consider , fractional derivative of in the Caputo sense is defined as
where stands for classic derivative.
We denote as the space of all continuous fuzzy-valued functions on . Additionally, we denote the space of all Lebesgue integrable fuzzy-valued functions on the bounded interval by .
Definition 16.
Let . The fractional generalized Hukuhara Caputo derivative of fuzzy-valued function is defined as follows:
Additionally, we say that is -differentiable at if
and that is -differentiable at if
3. Main Results
Theorem 1.
Let CVFMS such that, for any sequence in with , we have
Assume that there exists some , such that, for each , such that is a nonempty compact subset of . Let be a fuzzy mapping with the least upper bound property, such that
Then ϝ has a unique σ-fuzzy fixed point.
Proof.
Let be any arbitrary point in Define a sequence in by
First of all, we have to show that is a Cauchy sequence. For this, we define
for and fixed Since for all Using Remark 1, we obtain that, for all , the infimum, (say) exists. For with , from (1) by setting and , we obtain
Using Lemma 5 , we obtain
Since is nonempty subset of , there exists some such that
Using Definition 12, we obtain
Applying the least upper bound property of ϝ
Utilizing Lemma 3, this yields
which implies that
Therefore, by definition, we have
Thus, is a monotonic sequence in ℘, and by the use of Remark 1 and (3), there exists , such that
Again, from (2), we have, for
Similarly, for we obtain
hence, for all
Since using (4) and from hypothesis, we have
Hence, is a Cauchy sequence in Since is complete and from Lemma 4, there exists such that
Considering (1), for any , we obtain
Using Lemma 5 , we obtain
By definition, we obtain
Applying the least upper bound property of ϝ
From the definition and using (7), we obtain
Taking and using (6) and Remark 2, we can see that
i.e., Let be another fixed point of ϝ, and there exists such that then it yields from (1) that
Using Lemma 5 , we get
Since is nonempty subset of , there exists some such that
Using Definition 12, we obtain
Applyingthe least upper bound property of ϝ
On simplification, we get
Using and From this we get which is a contradiction. Thus, for all . i.e., which follows the uniqueness. □
In the succeeding theorem, we use Definition 6 to demonstrate the existence of fixed-point for a mapping enjoying a restricted condition.
Theorem 2.
Let CVFMS and be a fuzzy mapping where the least upper bound property enjoys:
- (1)
- There exists and with for all
- (2)
for all and for each , there exist some , such that be a nonempty closed and bounded subset of , while . Then, ϝ has a unique σ-fuzzy fixed point in .
Proof.
To prove this, it is enough to show that is complete and for all
Let be a Cauchy sequence in . Thus, from the completeness of the ground set and Lemma 4, there is an with
at this instant, for all
Since and so, by utilizing Remark 2 and using the properties of t-norm, we obtain
Setting alimit such that and using Remark 2, we have Consequently,
For each it can be seen (8) that
By Definition, we obtain
This yields
for all Using and It yields from above inequality
Taking and utilizing Remark 2, we have
Thus, □
In Theorem 1 the contractive condition (1) for can be replaced by the following, analogous proof:
Corollary 1.
for each . Where .
By setting in Theorem 1, we get the following corollary.
Corollary 2.
Let be a complete complex valued fuzzy metric space, such that, for any sequence in with , we have
Assume that there exists some , such that, for each such that is a nonempty compact subset of for all Let be a fuzzy mapping with least upper bound property, such that
where Then, ϝ has a unique σ-fuzzy fixed point.
By setting in Theorem 1, we get the following corollary.
Corollary 3.
Let be a complete complex valued fuzzy metric space such that, for any sequence, in with , we have
Assume that there exists some , such that, for each such that is a nonempty compact subset of for all Let be a fuzzy mapping with the least upper bound property, such that
where . Then ϝ has a unique σ-fuzzy fixed point.
The task of Theorem 1, can also be obtained for self mapping while relaxing the least upper bound property, with analogous proof:
Corollary 4.
Let CVFMS such that, for any sequence, in with , we have
Let enjoy
Then, ϝ has a unique σ-fuzzy fixed point.
Remark 4.
To obtain a unique fixed-point in the the above Corollary, it is sufficient that, to some extent, sequence such that , we get This state is obtained from the suppositions of Corollary 4 as, for any sequence, also for each
By the use of the above remark, and the rest of the proof of Corollary 4, we can use a more general statement for our main theorem, as follows.
Corollary 5.
Let be CVFMS. Suppose for any sequence such that we obtained . Moreover, let for any sequence in there exists with we obtained
where represents the collection of iterates of If with:
where . Then ϝ has a unique σ-fuzzy fixed point in .
Proof.
Define a sequence as , for all Thanks to (9), which guarantee that is a Cauchy sequence, as for
Thus
The proof is in the same fashion of Theorem 1. □
Corollary 6.
Let be CVFMS such that, for any sequence in with , we have
Suppose be a multivalued mapping with least upper bound property, such that
Then, has a unique fixed point.
Proof.
Consider the fuzzy mapping defined by
where Then,
Thus, Theorem 1 can be applied to obtain a fixed point, i.e., there exists such that □
Example 2.
Let and Let ⋄ be defined by
for all Define by
and
Clearly, is a complex valued metric space. Let be defined by
Then, is a complete CVFMS. Let and be a fuzzy mapping defined by:
if
Then, for and . Thus,
Let be the least upper bound of . Moreover, if such that
then,
Consider
Therefore, we have
Hence, all conditions of Corollary 3 are satisfied by ; therefore, there exists , such that
4. Applications Fuzzy Caputo Fractional Volterra–Fredholm Integro-Differential Equations
Consider initial value problem
where is a real number and denote the Caputo fractional generalized derivative of order is continuous in , which satisfies some assumptions that will be specified later, and
This problem is equivalent to the integral equation
where is a fuzzy valued -differentiable on
For a detailed study of problem (11), we recommend that the readers look at [8].
To study our results for the existence of a fixed point, we define the integral operator as
For the sake of simplicity, we mentioned Now, we study the existence and uniqueness of solutions to problem (11). To proceed, we use the following hypotheses:
Hypothesis 1 (H1).
is continuous such that
where
Then, the initial value problem (11) has only one solution.
Proof.
Consider with the metric
Let defined by
for It is obvious that is CVFMS. Consider (14), define the integral operator For we have
From assumption (15), we obtain, for each
This yields
By using (16), we get
Thus, all conditions of Theorem 1 hold. Therefore, there exists only one fixed point of in , and so there exists a unique solution to the system (11). □
5. Discussion and Conclusions
In many situations, classical models fail to describe the features of natural phenomena such as the dynamics of viscoelastic materials such as polymers, the atmospheric diffusion of pollution, and signal transmissions through strong magnetic fields. In such situations, fuzzy concepts are the best solution. This concept has the ability to model difficult uncertainties with ease. In our research work, we considered a complex fuzzy set in fuzzy metric spaces, which is more general than classical fuzzy metric fixed-point theory. We obtained complex fuzzy versions of rational type contractions via the least upper bound property in the new approach (complex valued fuzzy metric spaces). We also discussed its applications in multivalued mappings. Then, we proposed an existence theorem for a unique solution to fractional Volterra–Fredholm integro-differential equations under generalized fuzzy Caputo Hukuhara differentiability using the technique of a fixed point. As an application, we provided an illustrative example, which shows the applicability and validity of the approach we used in this article.
Our results will open doors for researchers working on rational type contraction in complex valued fuzzy spaces. The studied results and their applications can be extended to functional, differential and integral equations via numerical experiment.
Author Contributions
Conceptualization, writing—original draft preparation, writing—review and editing, supervision, investigation, H. and M.S.; methodology, formal analysis, funding acquisition, visualization T.A. and N.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
We are very grateful to the editor and unbiased arbitrator for his/her prudent interpretation and proposition which refined the excellency of this manuscript. The last two authors would like to thank Prince Sultan University for funding this work through the research lab TAS.
Conflicts of Interest
The authors declare no conflict of interest.
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