1. Introduction
The Banach Fixed Point Theorem [
1] is being studied not only by mathematicians but also by researchers in other branches of science to examine its applicability to real-world situations and accordingly very popular among scientists across various domains such as computer science, physics, applied mathematics and even finance. Even medical experts examine its applicability in their field in real-life situations.
In addition, metric fixed point theory has a wide range of applications such as dynamic programming, variational inequalities, fractal dynamics, dynamical systems of mathematics, as well as the deployment of satellites in their appropriate orbits in space science, etc. It also ensures that patients receive the most appropriate diagnosis and examines the intensity of the spread of contagious diseases in various cities. In mathematics, new discoveries of space and their properties are always of interest to researchers. The notion of probabilistic metric spaces, in which the probabilistic distance between two points is examined, has provided a new dimension to the subject and interest in learning more about stars in the cosmos.
Recently, popular topics in fixed point theory are addressing the existence of fixed points of contraction mappings in bipolar metric spaces, which can be considered as generalizations of the Banach contraction principle.
In 2016, Mutlu and Gürdal [
2,
3] introduced the concepts of bipolar metric space and they investigated certain basic fixed point and coupled fixed point theorems for co-variant and contra-variant maps under certain contractive conditions. Since then, fixed point results using various contractive conditions in the setting of bipolar metric spaces, have been reported by various researchers [
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15].
In this paper, we introduce the notion of Bipolar controlled metric space and prove fixed point theorems on bipolar-controlled metric space. We supplement our results with suitable examples. We also present an application of the derived result to find analytical and numerical solutions to a fractional differential equation.
The rest of the paper is organized as follows: In
Section 2, we define Bipolar controlled metric space and study some topological properties. In
Section 3, we present our main results by establishing fixed point results in the setting of Bipolar controlled metric spaces. In
Section 4, we present an application to find the solution to the fractional differential equation. We conclude this paper with some open problems for further research.
2. Preliminaries
The following basic definitions are required in the sequel.
Definition 1 ([
2])
. Let , be two nonempty sets and such that- (a)
iff , for all .
- (b)
, for all .
- (c)
, for all and .
The triplet is called a bipolar metric space.
Now we define the bipolar-controlled metric space and study some topological properties.
Definition 2. Let , be two nonempty sets and , such that
- (a)
iff , for all ..
- (b)
, for all .
- (c)
, for all and .
Then is called a bipolar-controlled metric space.
Let
be a bipolar-controlled metric space. The set
is called open ball of radius
and at center
. Similarly, the set
is called closed ball of radius
and at center
. The set of open balls
form a basis of some topology
on
. The set
is called open ball of radius
and at center
. Similarly, the set
is called closed ball of radius
with center
. The set of open balls
form a basis of some topology
on
.
Let denote the family of all subsets of of the form , where is open in and open in . Then and the intersection of any two members of lies in . Therefore is a base for a topology on . This topology is called the product topology.
Remark 1. Note that, if , for all and , then bipolar-controlled metric space reduces to a bipolar metric space. That is to say, bipolar-controlled metric space is a generalization of bipolar metric space.
Remark 2. Every bipolar metric space is bipolar-controlled metric space but the converse is not always true and also bipolar-controlled metric space is not Hausdorff. The following example illustrates this.
Example 1. Let and be equipped with and for all and . Then, is a complete bipolar-controlled metric space. However, we see that Therefore, bipolar-controlled metric space need not be a bipolar metric space. However, we have the following:
- 1.
and there does not exist any open ball with center 0 and contained in . So is not an open set on . and there does not exist any open ball with center and contained in . So is not an open set on . Then is not an open in .
- 2.
There does not exist any such that and so is not Hausdorff.
Definition 3. - (A1)
Let be a bipolar-controlled metric space. Then the points of the sets , and are named as left, right and central points, respectively, and any sequence that consists of only left (or right, or central) points is called a left (or right, or central) sequence on .
- (A2)
Let and be bipolar-controlled metric spaces and be a function. If and , then ⊤ is called a covariant map, or a map from to and this is written as . If where , is a map, then ⊤ is called a contravariant map from to and this is denoted as .
- (A3)
If a covariant map ⊤ is right and left continuous at each and , then it is continuous.
Definition 3 implies that a covariant or a contra-variant function ⊤, which is defined from to , is continuous, iff on implies on .
Definition 4. Let be a bipolar-controlled metric space.
- (B1)
A left sequence converges to μ be a right point iff .
- (B2)
A right seqence converges to a left point κ iff .
- (B3)
A sequence on the set is known as a bisequence on .
- (B4)
If both and converge, then the bisequence is known as convergent. If and both converge to a point , then this bi-sequence known as bi-convergent.
- (B5)
A bi-sequence on known as a Cauchy bi-sequence, if for every , we can find , satisfying for all non negative integers
- (B6)
A Cauchy bisequence is any biconvergent bisequence.
- (B7)
Every biconvergent Cauchy bisequence is convergent.
Definition 5. A bipolar-controlled metric space is called complete, if every Cauchy bisequence in this space is convergent.
3. Main Results
In this section, we prove fixed point theorems in bipolar-controlled metric spaces.
Theorem 1. Let be a complete bipolar-controlled metric space. Consider the mapping such thatfor all and , where . Suppose thatand Then the function has a UFP.
Proof. Let
∈
and
∈
. Define
and
. Then
,
is a bisequence on (
) and
For all natural numbers
, we have
Now by conditions (
1), (
2) and the ratio test, we obtain that
and
exists. Therefore
and
are Cauchy sequences. As
, we get
Hence
is a Cauchy bisequence. By completeness property,
, where
and
Since ⊤ is continuous
, so
. Hence ⊤ has a fixed point
. If
is another fixed point of ⊤, then
implies that
and we have
where
, which implies
, and so
. □
Example 2. Let and be equipped with and for all and . Then, is a complete bipolar-controlled metric space. Define by ∀. Let and , , then for all and for all . We can easily get Let and , then Thus, all the criteria of Theorem 1 are satisfied and ⊤ has a UFP .
Example 3. Let and be the set of all upper and lower triangular matrices of order ξ, respectively. Let be defined by for all and and for all and . Then, is a complete bipolar-controlled metric space. Define by ∀. Let and , then for all . We can easily get Let and , then Hence Theorem 1 is satisfied and ⊤ has a UFP .
Theorem 2. Let be a complete bipolar-controlled metric space. Consider the mapping such thatfor all and , where . Suppose thatand Then the function has a UFP.
Proof. Let
. Define
and
. Then
are bisequence on
. Now,
For all natural numbers
, we have
Now by conditions (
7), (
8) and ratio test, we obtain that
and
exists. Therefore
and
are Cauchy sequences. As
, we get
Therefore
is a Cauchy bisequence. By completeness property,
, where
. Since the contravariant function ⊤ is continuous
which implies that
and combining this with
gives
. If also
is a fixed point of ⊤, then
so that
which gives
. Hence
. □
Example 4. Let and be equipped with and for all and . Then, is a complete bipolar-controlled metric space. Define by ∀. Let , and assume and for all , then and for all . We can easily get Let and , then we can easily get Thus, the conditions of Theorem 2 are satisfied and ⊤ has a UFP .
Now we present a theorem based on Kannan’s fixed point theorem [
16].
Theorem 3. Let be a complete bipolar-controlled metric space. Consider the mapping such thatfor all and , where . Suppose thatandwhere . Then the function has a UFP. Proof. Let
. Define
and
for all
. Then, we have
for all integers
. Now,
and
so that
If we say
, then we have
since
. Now
For all natural numbers
, we have
Now by conditions (
13), (
14) and the ratio test, we obtain that
and
exists. Therefore
and
are Cauchy sequences. As
, we get
Therefore,
is a Cauchy bisequence. By completeness property,
where
. Since
Therefore,
. Hence
. If
is any fixed point of ⊤, then
, which implies that
. Then
Consequently . □
Now we present a fixed point result based on Reich type fixed point theorem [
17].
Theorem 4. Let be a complete bipolar-controlled metric space. Consider the mapping such thatfor all and , where such that . Suppose thatandwhere and . Then the function has a UFP. Proof. Let
. Define
and
for all
. Then, we have
for all integers
. Now,
and
so that
If we say
and
, then we have
. Now
For all natural numbers
, we have
Now by conditions (
16), (
17) and the ratio test, we obtain that
and
exists. Therefore
and
are Cauchy sequences. As
, we get
Therefore,
is a Cauchy bisequence. By completeness property,
where
. Since
Therefore,
. Hence
. If
is any fixed point of ⊤, then
, implies that
. Then
Consequently . □
4. Application
Now, we apply the derived results of Theorem 1 to find an analytical solution to an integral equation.
Theorem 5. Suppose we have the following equation: where is a Lebesgue measurable set. let us assume that
- (T1)
and ,
- (T2)
there is a continuous function and such thatfor , - (T3)
, i.e., .
Then the integral equation has a unique solution in .
Proof. Let and be two normed linear spaces, where are Lebesgue measurable sets and . Consider to be defined by and for all . Then is a complete bipolar conrolled metric space. Define the covariant mapping by Thus, we have established that the conditions of Theorem 1 are satisfied and hence the integral equation has a unique solution. □
Application to Fractional Differential Equations
Before proceeding to this subsection, let us recall the following: For a function
, the Reiman–Liouville fractional derivative of order
is given by
provided that the right hand side is pointwise defined on
, where
is the integer part of the number
is the Euler gamma function. Consider the following fractional differential equation
where
is a continuous function from
to
and
represents the Caputo fractional derivative of order
and it is defined by
Let
be the set of all continuous functions defined on
with values in the interval
and
be the set of all continuous functions defined on
with values in the interval
. Consider
to be defined by
and
for all
. Then
is a complete bipolar conrolled metric space.
Theorem 6. Let us consider the fractional differential Equation (FDE) (19). Assuming that the following holds: - (i)
there exists , and such that - (ii)
Then the FDE (19) has a unique solution in . Proof. Equation (
19) is equivalent to
where
Define the covariant mapping
defined by
It is easy to note that if
is a fixed point of ⊤ then
is a solution to the problem (
19).
Taking the supremum on both sides, we get
Thus, the conditions of Theorem 1 are satisfied and hence the fractional differential Equation (
19) has a unique solution. □
Example 5.Let us consider the following fractional differential equation :with initial condition: . Equation (20) has the exact solution with : By Equation (19), we can express Equation (20) in the homotopy form;the solution of Equation (20) is: Substituting Equation (22) in (21) and collecting terms with the power of , we get Applying and the inverse operation of , on both sides of Equation (23) and fractional integral operation of order , we have Hence the solution of Equation (20) iswhen For and , the results (both numerical and exact) using the matrix approach are presented in Table 1 and the maximum error observed was is . While Figure 1a compares the numerical and exact solutions of the FDE (20), Figure 1b displays the absolute error between them. 5. Conclusions
The notion of bipolar-controlled metric space was introduced and its basic topological properties were discussed in this article. We have established fixed-point results in these spaces. The derived results have been applied to find the analytical solution to the integral equation and fractional differential equation. The analytical solution has been supplemented with numerical computations. It is an open problem to investigate the existence of fixed points using various types of contractions such as Presi’c, Meir-Keeler, etc., and apply the results to find solutions to problems involving differential and integral equations.
Author Contributions
Investigation: G.M., R.R., A.J.G. and A.E.; Methodology: R.R. and G.M.; Project administration: R.R. and S.R.; Software: A.J.G., A.E. and O.A.A.A.; Supervision: R.R. and S.R.; Writing original draft: G.M., R.R. and A.E.; Writing review & editing: R.R., O.A.A.A. and S.R. All authors have read and agreed to the published version of the manuscript.
Funding
This study is supported via funding from Prince Sattam Bin Abdulaziz University project number (PSAU/2023/R/1444).
Data Availability Statement
Not applicable.
Acknowledgments
1. This study is supported via funding from Prince Sattam Bin Abdulaziz University project number (PSAU/2023/R/1444). 2. The authors are thankful to the anonymous reviewers for their valuable inputs which helped in bringing the manuscript to its present form.
Conflicts of Interest
The authors declare no conflict of interest.
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