Abstract
The aim of this manuscript is to introduce the concept of fuzzy b-metric-like spaces and discuss some related fixed point results. Some examples are imparted to illustrate the feasibility of the proposed methods. Finally, to validate the superiority of the obtained results, an application is provided to solve a first kind of Fredholm type integral equations.
1. Introduction and Preliminaries
The concept of fuzzy sets was initiated by Zadeh [1], which gave a new aspect to research activity leading with the improvement of fuzzy systems. Afterwards, several researchers contributed towards some basic significant results in fuzzy sets.
Kramosil and Michlek [2] introduced the concept of fuzzy metric spaces by generalizing the concepts of probabilistic metric spaces to fuzzy metric spaces. George and Veeramani [3] derived a Hausdorff topology which was initiated by a fuzzy metric to modify the concept of fuzzy metric spaces. Later on, the fixed point theory dealing with a fuzzy metric has been enriched with a number of different generalizations. Garbiec displayed the fuzzy version of Banach contraction principle in fuzzy metric spaces. For some necessary definitions, examples, and basic results, we refer to [4–6] and the references herein.
As we know, fixed point theory plays a crucial role in proving the existence of solutions for different mathematical models and has a wide range of applications in different fields related to mathematics. This theory has intrigued many researchers. Recently, Harandi [7] initiated the concept of metric-like spaces, which generalizes the notion of metric spaces in a nice way. Alghamdi et al. [8] used the concept metric-like spaces to introduce the notion of b-metric-like spaces. Since then, a number of authors contributed in same. For more details, we refer to [7, 9–16]. In this sequel, Shukla and Abbas [8] generalized the concept of metric-like spaces and introduced fuzzy metric-like spaces. For more details on this topic, please see [17–29].
In this article, our aim is to generalize the concept of b-metric-like spaces by introducing the concept of fuzzy b-metric-like spaces and prove some related fixed point results. We also support this work by some examples and an application to solve an integral equation.
First, we write some notations used throughout this paper, as C-t-norm for a continuous triangular norm, b-metric-l for b-metric-like, F-metric-l for fuzzy metric-like, F-b-metric for fuzzy b-metric, F-b-metric-l for fuzzy b-metric-like, and s.t. for such that.
Definition 1 [17]. A binary operation: is called a C-t-norm if it satisfies the following assertions: (1)(2)(3)(4)If and with then Some fundamental examples of a t-norm are and
Definition 2 [8]. A b-metric-l on a set is a function such that for all and it satisfies the following conditions: (1)If (2)(3)
The pair is called a b-metric-l space.
Example 1 [8]. Let . Define the function by
Then, is called a b-metric-l space with .
Example 2 [8]. Let . Define the function by.
Then, is named as a b-metric-l space with .
Definition 3 [18]. A 3-tuple is said an F-metric-l space if is a random set, is a C-t-norm, and is a fuzzy set on meeting the conditions below for all :
FL1)
FL2) If then
FL3)
FL4)
FL5) is continuous.
Example 3 [18]. Let , , and Define a t-norm by and the fuzzy set on by
Then, is an F-metric-l space.
Definition 4 [5]. A 3-tuple is said an F-b-metric space if is a random (nonempty) set, is a C-t-norm, and is a fuzzy set on meeting the conditions below for all and a provided real number:
FB1)
FB2) iff
FB3)
FB4)
FB5) is continuous.
Example 4 [9]. Let where is a real number. It is then simple to show that is an F-b-metric with .
2. Main Results
We start this section with the introduction of F-b-metric-l spaces and prove some related fixed point results.
Definition 5. A 4-tuple is named an F-b-metric-l space if is a random set, is a C-t-norm, and is a fuzzy set on meeting the following conditions below for all :
B1)
B2) If then
B3)
B4) for
B5) is continuous.
Remark 6. In the above definition, a set is endowed by an F-b-metric-l with a t-norm (). An F-b-metric-l space does not satisfy the (FB2) condition of F-b-metric spaces, that is, the self-distance may not be equal to 1, i.e., for all for some or may be for all But all other conditions are the same. Hence, the F-b-metric-l may not be a F-b-metric, but the converse is true.
Definition 7. Let be an F-b-metric-l space. For we define the open ball as Then, is a topology on .
The following simplest example shows that an F-b-metric-l need not to be an F-b-metric.
Example 5. Take . Consider the t-norm defined by , then is an F-b-metric-l. But it is not an F-b-metric.
Proof. (B1), (B2), (B3), and (B5) are obvious. Here, we prove (B4). We have
Here, is an arbitrary integer. We have
Hence,
Since is an increasing function for one writes
That is,
Hence, (B4) satisfied.
Now, we have to prove that is not an F-b-metric space. For this purpose, we investigate the self-distance. Indeed,
Hence, is not an F-b-metric space.
The following example shows that an F-b-metric-l space need not be continuous.
Example 6. Let and If we consider the t-norm defined by , then is an F-b-metric-l space with a coefficient To illustrate the discontinuity, we have However, since One can assert that is not continuous.
Proposition 8. Let be a b-metric-l space. Then, is an F-b-metric-l space defined as
Proof. (B1), (B2), (B3), and (B5) are obvious. Here, we prove (B4). We have Therefore, That is, Hence, That is, Hence, (B4) is satisfied and is an F-b-metric-l space.
Definition 9. A sequence in a F-b-metric-l space is said to be convergent to , if
Definition 10. A sequence in an F-b-metric-l space is said to be Cauchy if exists and is finite.
Definition 11. An F-b-metric-l space is said to be complete if every Cauchy sequence in converges to some such that
Definition 12. Let be an F-b-metric-l space. A mapping is said to be fuzzy contractive if there exists such that for all and Here, is called the fuzzy contractive constant of.
Theorem 13. Let be a complete F-b-metric-l space and be a fuzzy contractive mapping with a fuzzy contractive constant, then has a unique fixed point so that for all
Proof. For an arbitrary, define a sequence in by
If for some then is a fixed point of. We assume that for all . For and , we get from (24)
We have
Therefore,
Continuing in this way, we get
We have
Now, for and , we have
Continuing in this way, we get
By using (30) in the above inequality, we have
Here, is an arbitrary positive integer, and as , we deduce from the above expression that
Therefore, is a Cauchy sequence in By the completeness of ,
there is such that
Now, we prove that is a fixed point for . For this, we obtain from (24) that
Using the above inequality, we obtain
Taking limit as and using (35) in the above expression, we get that that is, Therefore, is a fixed point of and for all
Now, we investigate the uniqueness of the fixed point of . Let be another fixed point of , s.t. for some . It follows from (24) that
a contradiction. Therefore, we must have for all and hence
Corollary 14. Let be a complete F-b-metric-l space and be a mapping satisfying for some , where . Then, has a unique fixed point and .
Proof. is the unique fixed point of by using Theorem 13, and is also a fixed point of as and from Theorem 13, , is the unique fixed point, since the unique fixed point of is also the unique fixed point of
Example 7. Let and the t-norm be defined as. Given as (From Example 2 and Proposition 8, is an F-b-metric-l).
Then, is a complete F-b-metric-l space. Define as
Then, we have 8 cases:
Case 1. If , then .
Case 2. If and , then and
Case 3. If and , then and
Case 4. If and , then and .
Case 5. If and , then and .
Case 6. If and , then and
Case 7. If and then and
Case 8. If and then and
All above cases satisfy the fuzzy contraction: with . Hence is a fuzzy contractive mapping with . All conditions of Theorem 13 are satisfied. Also, 0 is the unique fixed point of and
Theorem 15. Let be a complete F-b-metric-l space such that for all , and be a mapping satisfying the condition for all where Then has a unique fixed point and
Proof. For an arbitrary , define a sequence in by
If for some , then is a fixed point of. We assume that for all . For and , we get from (44) that
for all and Therefore, by applying the above expression, we can deduce that
for all , , and >0. Thus, we have
Continuing in this way, we get
Using (48) in the above inequality, we deduce
Here, is an arbitrary positive integer. We know that and . So, from (51), we deduce that
Hence, is a Cauchy sequence. The hypothesis of completeness of the F-b-metric-l space ensures that there exists such that
Now, we derive that is a fixed point of . We have
Taking limit as , and by (53), we get
Therefore, is a fixed point of and
Now, we investigate the uniqueness of fixed point. For this, assume that and are two fixed points of Then, by (44), we have
We obtain
Taking limit as and using the fact so ; hence the fixed point is unique.
Example 8. Let and the t-norm be defined as Also, is defined as Then, is a complete F-b-metric-l space. Define by
Now, For, we have four cases:
Case 1. If , then Here,
Case 2. If and then and . We have
Case 3. If then and Here,
Case 4. If and then and Then,
From all 4 cases, we obtain that
Hence, all conditions of Theorem 13 are satisfied, and 0 is the unique fixed point of. Also,
3. An Application to an Integral Equation
Consider the following integral equation: where and
Let be the set of all continuous real valued functions defined on. Consider the b-metric-l given as
Then, by Proposition 8,
Clearly, is a complete F-b-metric-l space. Let
for . Observe that the existence of a solution of (66) is equivalent to the existence of a fixed point of.
Theorem 16. Assume that the following hypotheses hold: (1) is continuous(2), there is a continuous function such thatwhere and (3)andThen, the integral Equation (66) has a unique solution.
Proof. For all we have Therefore,. Also, observe that all conditions of Theorem 15 are satisfied. Hence, the operator has a unique fixed point. This means that the integral Equation (66) has a unique solution.
Example 9. Consider the nonlinear integral equation below Then, it has a solution in
Proof. Let be defined by Set in Theorem 16, we get (i) is continuous(ii), there is a continuous function such thatwhere (iii)andHence, all hypotheses of Theorem 16 are fulfilled. Therefore, the problem (72) has a solution on
4. Conclusion
Fixed point techniques are used to solve many mathematical problems, as differential and integral equations, integro-differential equations, game theory, and economics. The intent of this manuscript is to present a new space, so-called a fuzzy b-metric-like space. Topological properties and related examples are addressed, so our fixed point results are new. Ultimately, to illustrate the practical side of the theoretical results, a solution of a nonlinear integral equation is given.
Data Availability
The data used to support the findings of this study are available from the corresponding author upon request.
Conflicts of Interest
The authors declare no conflict of interest.
Authors’ Contributions
All authors contributed equally in writing this article. All authors read and approved the final manuscript.
Acknowledgments
The authors extend their appreciation to the Deanship of Post Graduate and Scientific Research at Dar Al Uloom University for funding this work.