Abstract
In this paper, we present Proinov-type fixed point theorems in the setting of bi-polar metric spaces and fuzzy bi-polar metric spaces. Fuzzy bi-polar metric spaces with symmetric property extend classical metric spaces to address dual structures and uncertainty, ensuring consistency and balance. We provide different concrete conditions on the real-valued functions for the existence of fixed points via the -contraction in bi-polar metric spaces. Further, we define real-valued functions to obtain fixed point theorems in fuzzy bi-polar metric spaces. We apply fuzzy bi-polar version of a Banach fixed point theorem to show the existence of solutions. Furthermore, we provide some non-trivial examples to show the validity of our results. In the end, we find the existence and uniqueness of a solution of integral equations and boundary value problem used in chemical sciences by applying main results.
1. Introduction
A point g is a fixed point of a self-mapping of if . In 1960, the notion of continuous t-norm was presented by Schweizer and Sklar [1]. In 1965, Zadeh [2] presented the notion of a fuzzy set. Fuzzy sets extend fixed point theory to handle uncertainty and imprecision, enabling the analysis of systems with vague or incomplete information. They facilitate the generalization of classical fixed point results to fuzzy settings, broadening their applicability to real-world problems in optimization, decision making, and dynamic systems. First, Karamosil and Michlek [3] established the notion of fuzzy metric space (FMS). Gregori and Sapena [4] presented a fuzzy contractive mapping and proved some fixed point theorems in the context of the Karamosil and Michlek FMS. In 2008, Mihet [5] established some fixed point results by using -contractive mappings in non-Archimedean FMS. A novel family of contractions was introduced Hierro et al. [6] in the framework of non-Archimedean FMSs, offering a significant advancement in the field. The primary advantage of this family lies in its incorporation of general auxiliary functions, enhancing its flexibility and applicability across diverse mathematical and practical contexts. Zhou et al. [7] presented some auxiliary functions in FMS and established a novel family of contractions based on Proinov-type contractions and proved some fixed point theorems. Sessa et al. [8] established some fixed point theorems by using the fuzzy orthogonal contraction and provided an application for non-linear equations. Ishtiaq et al. [9] proved some fixed point theorems using different types of interpolative contraction mappings.
In 2020, Afshari et al. [10] initiated some fixed point results by using -contractive mappings in b-metric spaces. In 2020 Proinov [11] obtained fixed point results in a metric space (MS) by using generalized contractive mappings. Then, in 2021, Alqahtani et al. [12] determined some fixed point theorems by modifying Proinov-type [11] fixed point results using certain conditions to the corresponding contraction. Hiero et al. [13] proved several fixed point theorems by utilizing multi-parametric contractions and related Hardy Rogers-type fixed point theorem.
Mutlu and Gurdal [14] presented a new idea of bi-polar metric space (in short, BMS) and proved several fixed point results. They used E and F two nonempty sets and define a mapping , where . Khajasteh et al. [15] presented some simulation functions and proved various fixed-point results in the setting of MS. Semet et al. [16] presented some fixed point results for contractive mappings in complete MS. Murthy et al. [17] proved some common fixed point theorems for BMS by using Meir-Keeler type contractions. Prasad [18] established several common fixed point theorems in BMS by using covariant mappings. Jahangeer et al. [19] proved several best proximity point theorems in BMS by using certain interpolative contractions. Bartwal et al. [20] established a new idea of fuzzy bi-polar metric space (in short, FBMS) and proved some fixed point theorems. An FMS uses a fuzzy membership value to describe the degree of closeness between two points, with larger values indicating greater proximity. It involves a single non-empty set with parameter and is mostly used to deal with ambiguity in distance measurements. In an FBM space, two different non-empty sets with parameter are used to represent dual features evaluations of distance. Meanwhile, FMSs are simpler and widely used in applications like image processing and fixed point theory. FBMSs are more complex and suited for scenarios involving bi-polar evaluations, such as satisfaction/dissatisfaction or attraction/repulsion in decision making and psychology. Beg et al. [21] proved several common coupled fixed point results in the setting of FBMSs. Ramalingam et al. [22] used the triangular property of a fuzzy bi-polar b-metric space to derive fixed point theorems without continuity, expanding on previously proven results. Bi-polar metric spaces provide a dual framework for evaluating relationships, and fuzzy bi-polar metric spaces extend this framework to uncertain environments using fuzzified metrics. Symmetry in both settings ensures balanced and consistent evaluation of distances, making these spaces suitable for a wide range of theoretical and applied problems.
Motivated from the above discussion, we prove some fixed point results in the context of BMS and FBMS. We introduce the L family of functions in the setting of BMS and FBMS. Further, we provide some corollaries and remarks which relate our results to the existing ones in the literature. We divide this paper into four parts. The first part is dedicated for basic definitions and results from the existing literature. In the second part, we present some lemmas, propositions and fixed point results in the setting of BMS and FBMS with several non-trivial examples. In the third part, we find the existence and uniqueness of a solution of a boundary value problem by applying the main result. In the fourth part, we provide a conclusion of our work.
2. Preliminaries
This section contains several definitions and results from the existing literature.
Definition 1
([14]). Suppose E and F are nonempty sets and let a mapping be a function, where denotes the set of non-negative real numbers. Then, is said to be a BMS if it fulfills the following conditions:
(bp1) If , then for all ;
(bp2) If , then for all ;
(bp3) for all ;
(bp4) for all and .
Definition 2
([14]). Let be a BMS.
(i) A sequence on the set is called a bi-sequence on
(ii) If both and are convergent, then the bi-sequence is said to be convergent. If both sequences and both converges to the same point , then the bi-sequence is said to be bi-convergent.
(iii) A bi-sequence on is called a Cauchy bi-sequence if, for every , there exists a number , such that for all positive integers , .
Definition 3
([14]). Let be a BMS. A left sequence converges to a right point j (symbolically or ) if and only if exists as such that for all . Similarly, a right sequence converges to a right point g (symbolically or ) if and only if exists such that for all . When or for a BMS , without exact information about the domain of the sequence, this means that is a left sequence and j is a right point, or a right sequence and j is a left point.
Definition 4
([14]). A BMS is called complete if every Cauchy bi-sequence in this space is convergent.
Theorem 1
([14]). Let be a complete BMS and a contraction (here, “⇉” shows the covariant map). Then, the function has a unique fixed point.
Definition 5
([1]). A binary operation is called a continuous t-norm (ctn) if it satisfies the following conditions:
- (T1) and for all
- (T2) ∘ is continuous;
- (T3) g for all
- (T4) when and with
Definition 6
([20]). Suppose and ∘ is a ctn. A mapping is called a fuzzy b-metric if it satisfies the following axioms for all and
(A1)
(A2) if and only if
(A3)
(A4)
(A5) is continuous.
- Then, is called an FMS.
Example 1.
Let and define a mapping by . Then, is an FMS with ctn .
Definition 7
([20]). Suppose E, and ∘ is a ctn. A mapping is said to be fuzzy bi-polar metric if it satisfies the below axioms for all
(A1) for all ;
(A2) if and only if for and ;
(A3) for all ;
(A4) for all and
(A5) is left continuous;
(A6) is non-decreasing for all and .
- Then, is called an FBMS.
Example 2.
For all , and , define a mapping by
- Then, is an FBMS with ctn .
Definition 8
([20]). Suppose is an FBMS. The points belonging to and are named as left, right, and central points respectively, and sequences belonging to and are called left, right, and central sequences, respectively.
Lemma 1
([20]). Suppose is an FBMS such that
for all , , , and . Then, .
Definition 9
([20]). Suppose is an FBMS. A sequence E converges to a right point j if and only if for each and , there exists such that for all . Similarly, a right sequence converges to a left point g if and only if, for each and , there exists such that for all
Definition 10
([20]). Suppose is an FBMS; then,
(i) A sequence is called a bi-sequence on
(ii) If both sequences and converge, then the sequence is said to be bi-convergent. If both and converge to the same center point, the bi-sequence is said to be bi-convergent.
(iii) A bi-sequence on is called a Cauchy bi-sequence if, for each , there exists a , such that for every positive integer , for each , i.e., a bi-sequence is said to be a Cauchy bi-sequence if as for all .
Definition 11
([20]). The FBMS is known as complete if every Cauchy bi-sequence in is convergent in it.
Proposition 1
([20]). In FBMS, every bi-convergent bi-sequence is a Cauchy bi-sequence.
Lemma 2
([20]). Suppose is an FBMS. If is a limit of the sequence, then it is a unique limit of the sequence.
Theorem 2
([20]). Let be a complete FBMS such that for all , . Then, is a mapping verifying
(i) and ;
(ii) for all , , , where
Then, A has a unique fixed point.
Proposition 2
([7]). Let be a Picard sequence in FMS such that , if for each sequence for all . If there are such that and , then there is and such that for all . In such a case, is a fixed point of the self-mapping for which is a Picard sequence.
Proposition 3
([7]). Every Picard sequence is either infinite or almost periodic.
Proposition 4
([7]). We say that an FMS verifies the property if for each , which is not Cauchy sequence and holds for all , there are and and two partial subsequences and of , such that, for all , the following is fulfilled:
Definition 12
([7]). Let be an FMS. We denote, by L, the family of pairs of the functions fulfills the following axioms:
(p1) Ω is non-decreasing;
(p2) for any ;
(p3) for any
(p4) If is such that , then
Example 3.
(1) and for all .
(2) and for all .
(3) and for all .
3. Main Results
This section contains several fixed point results in the setting of BMS and FBMS.
3.1. Fixed Point Theorems for Contractions in BMS
We provide a fixed point theorem for a self-mapping A on a complete BMS (in short, CBMS) satisfying a contractive condition
where are two function such that for
Lemma 3.
Let be a BMS and be a bi-sequence in which is not Cauchy bi-sequence and . Then, there exists and two bi-subsequences and of and , of such that
Proof.
Since is not a Cauchy bi-sequence and , there exists for and such that for each there exists such that
Thus, we can make two subsequences and of , such that
From these inequalities and triangular inequality, we obtain
By the Sandwich theorem, we get (2). Furthermore, we have
which implies the second limit (3). From the following two inequalities,
we deduce the first and third limits in (3). □
Lemma 4.
Let . Then, Conditions (i), (ii) and (iii) are equivalent, as follows:
(i) for each
(ii) for each
(iii) ⇒
Proof.
(i)⇒(ii): Suppose that Condition (i) is satisfied and for some . Then, for each . However, , i.e., Condition (ii) holds.
(ii) →(iii): Suppose that Condition (ii) is satisfied and for a sequence . Suppose that does not converge to 0. Then, there exists and a subsequence such that for every . Since implies also for , we conclude that , which is a contradiction to Condition (ii). Hence, , that is, is satisfied.
(iii)⇒(i): Suppose that Condition (iii) is satisfied. Suppose that a for some . Then, there exists a subsequence such that for each and . From Condition (iii), we obtain that , which contradicts . That is, Condition (i) is satisfied. □
Lemma 5.
Suppose . Then, Condition (i)⇒ Condition (ii), where
(i) implies
(ii) for every .
Proof.
Let Condition (i) be fulfilled and for some . Then, there exists a sequence such that and From , we have , which is a contradiction. □
Definition 13.
Let . A self-mapping A on BMS is said to be asymptotically regular (in short, ATR) at a point and if
Lemma 6.
Suppose is BMS and let be a mapping, where the functions are such that
(i) for any ;
Let one of the following be satisfied:
(ii) Ω is non-decreasing and for any ;
(iii) if and are convergent sequences with the same limit and is strictly decreasing, then . Then, A is an ATR.
Proof.
Put and and . We examine that every . If for some , then it is obvious. Applying inequality (1) with and and taking into account Condition (i), we obtain
Suppose that Condition (ii) holds. Then, by utilizing (4), that is, for each , is a strictly decreasing and positive sequence. Therefore, there exists such that as . Now, we investigate that . Suppose that . Letting in (4), we deduce
which is a contradiction of Condition (ii). That is, .
Let Condition (iv) be satisfied. By utilizing (4), the sequence is strictly decreasing. We take as not bounded below. Then, we apply Condition (i) and Lemma 4, that is , as . Now let be bounded below. Then, is a convergent bi-sequence. From (4), is also a convergent bi-sequence with the same limit. Therefore, by utilizing Condition (iv), that is, as □
Lemma 7.
Suppose that is BMS and let be a mapping verifying (1), with the functions which fulfills at least one of the following:
(i) for any ;
(ii) for any
If A is an ATR at a point and , then is a Cauchy bi-sequence.
Proof.
Suppose A is an ATR mapping at an element . Let bi-sequence , which is not Cauchy bi-sequence. Set and for every .
Suppose that verify Condition (i). By applying Lemma 3, there exist and two subsequences and of such that limits (2) and (3) fulfilled. By utilizing (2), for each . By using (1) with and , we obtain
for all . We set and . Then, from (5), we obtain
Hence, taking into account Lemma (6) (i), we get
For this and the monotonicity of , we obtain . Then, we use (2) and (3), that is, and . Taking the superior limit in (6) as , we obtain
which contradicts Condition (i).
Assume that and verify Condition (ii). By utilizing Lemma 3, there exist and two bi-subsequences of and of and and of such that the limits (2) and (3) hold. From (6), we conclude that
for every By applying (1) with and , (5) is satisfied for every k. Again, take and . Then, (5) takes from (6). It follows from (2) and (3) that and . From (5), we obtain
which is a contradiction. However, is a Cauchy bi-sequence. □
Definition 14.
A self-mapping A on a BMS is called a closed graph if
is closed in its product topology. Also, A has a closed graph if and only if, for each bi-sequence and in such that and as , we have
Lemma 8.
Let be a BMS and let a mapping verify (1), with the function which fulfills at least one of the following:
(i) A has a closed graph;
any ;
(ii) for any
If for some , then ζ is a fixed point of A.
Proof.
If we take (ii), then the proof of (i) is obvious. Suppose . If for each n, then
Since A has a closed graph, by letting , we obtain , which implies . This means that This means that is a fixed point of Let be satisfied for every n. Then, by utilizing (1) with and , we obtain
which hold for the values of
Theorem 3.
Assume that is a BMS and that a mapping satisfies (1), with the functions , fulfilling at least one of the following:
(i) Ω is non-decreasing;
(ii) for any
Then, A has a unique fixed point and the iterative bi-sequence converges to ζ for every and
Proof.
Let and . For each define and Then, is a bi-sequence in By applying Conditions (i) and (ii) and Lemma 6, A is asymptotically regular. Also, by utilizing Conditions (i) and (ii) and Lemma 7, the bi-sequence is a Cauchy bi-sequence. However, if is complete, then the bi-sequence converges to a point From Condition (i) and Lemma 8, it is clear that is a fixed point of The uniqueness of the fixed point is easy to determine using (1). □
Remark 1.
If and , where , then Theorem 3 is reduced to a Banach contraction principle.
Example 4.
Let and be equipped with for all and Then, is a complete bi-polar metric space. Define by
for all Now, define the function by
Now, we have to show that A satisfies (1). Therefore,
Hence, all the other conditions of Theorem 3 hold. Moreover, 1 is the fixed point of A.
Now, we see that without , and do not hold; thus, we take
which is a contradiction. Hence, it does not hold without .
Theorem 4.
Assume that is a BMS and that is a mapping that satisfies (1), with the functions , verifying at least one from the following:
(i) for any
(ii) If and are convergent sequences with the same limit and is strictly decreasing, then as
(iii) A has closed graph or for any
Then, A has a unique fixed point and the iterative bi-sequence converges to ζ for every and
Proof.
Let and . For each define and Then, is a bi-sequence in By applying Conditions (i) and (ii) and Lemma 6, A is asymptotically regular at g and j. By using Condition (iii) and Lemma 7, it is clear that bi-sequence is Cauchy. Therefore, converges to a point Moreover, by applying Condition (iii) and Lemma 8, it is clear that is a fixed point of A. The uniqueness is easy to determine by using (1). □
Remark 2.
If and , where , then Theorem 4 is reduced to Banach contraction principle.
3.2. Fixed Point Theorem for Contraction in Fuzzy Bi-Polar Metric Spaces
In this part, we prove fixed point theorems in FBMS.
Proposition 5.
Let be a Picard bi-sequence in FBMS such that , if the bi-sequence for all . If there are such that and , then there is and such that . In such a case, is a fixed point of the self-mapping for which is a Picard bi-sequence.
Lemma 9.
We say that an FBMS sequence is not Cauchy if for each , which is not a Cauchy sequence and holds for each , there are and and two partial bi-subsequences, two bi-subsequences and of and and of such that for each , the following holds:
Theorem 5.
Suppose that is a complete FBMS and suppose that is a mapping for which there exists such that
Then, each iterative Picard bi-sequence is bi-convergent to the unique fixed point of A.
Proof.
In such a case, Property (p4) leads to
Specifically,
As is non-decreasing according to Property (p1), then
We proved that the bi-sequence is non-decreasing. This property allows us to define the function as
Step 2. for all
as is non-decreasing, we conclude that
Choose and and suppose that and ∀. Then, we obtain as a bi-sequence on FBMS . Now, we have
for all and . By continuing this process, we obtain
for all and . For the next proof, we use six steps to prove the statement.
Step 1. For all , the bi-sequence is non-decreasing.
Let be arbitrary. We consider two cases depending on or
- If , then
- If then (12) and Property (p2) certify that
Suppose . If there is such that , then so, . In this case, by induction, we can check that for all , which implies that . Next, suppose that
In this case, (12) and Property (p2) confirm that
As is non-decreasing, then
In order to prove that suppose, by contradiction, that . In such a case,
Consider
thus, it follows that
This limit exists and is finite because is well defined on and is non-decreasing on . By letting , we obtain
However, this contradicts Property (p3) because
This contraction shows that for all , which completes Step 2 and proves that
Step 3. The bi-sequence is either almost constant or infinite, and in this last case,
If we suppose that for and we consider (14), Proposition 5 guarantees that the bi-sequence is almost constant. This means that there are and . Therefore, s is a fixed point of A, and we are finished. Oppositely, let for any such that . For the second case, by continuing the process, we can see that (15) is satisfied.
Step 4. We claim that is a Cauchy bi-sequence.
Contrarily, assume that is not a Cauchy bi-sequence. Hence, there are , and two partial bi-subsequences and of and and of , such that for each , the following holds:
and
Since , there is such that
Assume that
By applying (11), Property (p2), and (18), we conclude that, for all
In particular,
Since is non-decreasing, then
With (19), we obtain
Using (19) and (20), we conclude that
If in (19), it follows that
However, this is a contradiction to Property (p3) because
which is contradiction, stating that is a Cauchy bi-sequence.
As is a complete FBMS, there is such that is bi-convergent to As stated in Proposition 1, the bi-sequence is bi-convergent.
As bi-sequence is bi-convergent, then ∃, which is a limit of both sequences and . Using Lemma 2, we have a unique limit for both bi-sequences and , that is,
Step 5. An element is a fixed point of
Oppositely, suppose that s is not a fixed point of A. As the bi-sequence is infinite, then there is such that and for every . Assume that
Condition (4) of the theorem leads to
for each and each . Now, we investigate that by discussing two cases, as follows:
- If , then
By assumption, Property (p4) guarantees that
In particular,
- If , then
In both cases, we checked that
which means that the bi-sequence also converges to . The uniqueness of the limit of a bi-convergent sequence in an FBMS demonstrates that
Step 6. The mapping A has a unique fixed point in .
Finally, suppose that are two distinct fixed points of A. Since , then, for all
If we suppose that for some , then
which is a contradiction. Hence, for all Therefore, A has a unique limit. □
Example 5.
Let and be equipped with for all and Then, is a complete FBMS. Define by
for all Now, define the function by
Now, we have to show that A satisfies (11). Therefore, we consider and as follows:
Hence, all the other conditions of Theorem 5 hold. The fixed point of A is This is similar to other cases.
Now, we see that without , and do not hold. Therefore, we take
which is a contradiction. Hence, it does not hold without .
Corollary 1.
Suppose is a complete FBMS, and suppose that is a mapping for which there exists , such that
Then, each iterative Picard bi-sequence is bi-convergent to the unique fixed point of A for every initial condition and
Proof.
The proof of Corollary 1 is taken as being the same as the proof of Theorem 5. □
Corollary 2.
Suppose that is a complete FBMS and is a mapping for which there exists , such that
Suppose that Ω and Π verify the following assumptions:
(1) Ω is non-decreasing;
(2) for any ;
(3) for any
(4) .
Then, each iterative Picard bi-sequence is bi-convergent to the unique fixed point of A for every initial condition and
Proof.
By applying Property (p2), Condition implies Property (p4). Suppose that such that . To prove that , we suppose the opposite of i.e.,
However, contradicts Property (p2). Therefore, . Hence, the remaining proof is the same as the proof of Theorem 5. □
Corollary 3.
Suppose that is a complete FBMS, and suppose that is a mapping, such that
Then, each iterative Picard bi-sequence is bi-convergent to the unique fixed point of A for every initial condition and
Proof.
If we take and , also holds for all the conditions of the L family. The remaining proof of the Corollary is taken as same as the proof of Theorem 5. □
4. Applications
In this part, we proved the applications of integral equations and chemical science.
4.1. An Application to Integral Equations
Let us consider the Banach space of all continuous functions defined on a real interval endowed with the supremum norm
with the following complete bi-polar metric:
Consider the following integral equation:
Consider the FBMS with the product t-norm as follows:
According to George and Veeramani, the standard fuzzy metric space and the corresponding metric space are endowed by the same topology. Therefore, the fuzzy metric space defined by (22) is complete.
Theorem 6.
Suppose that the integral operator A on is
where is such that , for each , and A fulfills the following conditions:
for all , where
Then, the integral Equation (21) has a unique solution.
Proof.
As , we have that
Therefore, the following holds:
Using (22), we can write
which can be interpreted as follows:
Hence, we have
which means that the following holds:
If we take and , then we can write the above inequality as
Since all the conditions of Theorem 5 hold, we conclude that (21) has a unique solution. □
4.2. An Application to Chemical Science
Consider a diffusing substance placed in an absorbing medium between parallel walls such that and are the stipulated concentrations at walls. Furthermore, suppose to be the given source of density and to be the known absorption coefficient. Then, the concentration of the substance under the aforementioned hypothesis governs the following boundary value problem:
Theorem 5 is equivalent to the following integral equation:
where is Green’s function, which is continuous and given by
Suppose that is the space of all real-valued continuous functions defined on I, and let be endowed with the FBMS defined by
where Obviously, is a complete FBMS with the product t-norm that is defined as
Let the mapping be defined as
where
Then, is the unique solution of (24) if and only if it is a fixed point of A. The following theorem is provided for proving the existence of a fixed point of
Theorem 7.
Proof.
Clearly, considering and , the mapping is well defined. Also, A is an FBMS:
Therefore, the following holds:
Using (26), we can write
which can be interpreted as the following:
Hence, we have
which means that the following holds:
If we take and , then we can write the above inequality as
Since all the conditions of Theorem 5 hold, we conclude that the integral Equation (24) has a unique solution. Consequently, the boundary value problem (23) has a unique solution. □
5. Conclusions
In this work, we proved some fixed point theorems for bi-polar metric spaces and fuzzy bi-polar metric spaces. We provided some lemmas, corollaries, remarks and non-trivial examples. We solved the integral equation by applying our main result. Furthermore, we solved a boundary value problem that occurred in chemical science by applying the main result. Thus, researchers can enhance the results in the setting of fuzzy bi-polar multiplicative metric spaces, fuzzy bi-polar p-metric spaces, and many other structures.
Author Contributions
Conceptualization, U.I. and F.J.; methodology, U.I. and I.-L.P.; software, U.I. and F.J.; validation, M.G. and I.-L.P.; formal analysis, U.I., M.G. and I.-L.P.; investigation, U.I. and M.G.; resources, U.I., F.J., M.G. and I.-L.P.; data curation, U.I. and F.J.; writing—original draft preparation, U.I. and F.J.; writing—review and editing, U.I., M.G. and I.-L.P.; visualization, U.I., F.J. and M.G.; supervision, U.I. and I.-L.P.; project administration, M.G. and I.-L.P.; funding acquisition, I.-L.P. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data will be made available upon request from the corresponding author.
Acknowledgments
The authors extend their appreciation to King Saud University for funding this work through Researchers Supporting Project number (RSPD2025R1056), King Saud University, Riyadh, Saudi Arabia.
Conflicts of Interest
The authors declare no conflicts of interest.
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