1. Introduction
Researchers in mathematics and different branches of science and technology studied the Banach Fixed Point Theorem [
1] and continued their research to find out if the theorem was applicable to the real world. The Banach Fixed Point Theorem is still popular among computer scientists, physicists, applied mathematicians, as well as people with medical expertise in the 21st century for attempting to apply the theorem to real-life issues. Metric spaces play a significant role in Real Analysis and Functional Analysis due to their most general space that possibly allows one to rethink real-life applications. It is always interesting as well as challenging for mathematicians to understand and apply the concept of topological properties to normed linear spaces as well as metric space in various fields. In the sequel of various generalisations, Meir–Keeler [
2] established fixed-point results using weakly uniformly strict contraction in the setting of complete metric spaces.
In addition, metric fixed point theory has a wide range of applications—in dynamic programming, variational inequalities, fractal dynamics, dynamical systems of mathematics, as well as the deployment of satellites in their appropriate orbits in space science, to name a few. It also ensures that patients receive the most appropriate diagnosis, and it examines the intensity of spread of contagious diseases in a variety of cities.
In mathematics, new discoveries of space and their properties are always of interest to researchers. As a result, Gahler [
3] introduced the idea of 2-metric spaces in his series of papers, giving us the notion of new dimensions for ordinary metric spaces. The metric adopted here is non-negative real (i.e.,
), which has a wide range of applications in this study.
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. Similarly, Grabiec [
4] and Michalek [
5] investigated fuzzy metric spaces, taking into account the degree of agreement and disagreement. It is evident that most of the work was based on real numbers, be it 2-metric, fuzzy metric, modular metric, etc.
Let
X be a nonempty set and let
and
“What happens if we replace
with some other sets that are not totally ordered sets like
?” was a reasonable question. The response of the researchers resulted in various types of metrics, such as the cone metric, the partially ordered metric, the modular metric, and more recently the complex-valued metrics proposed by Huang and Zhang [
6], Matthew [
7], Azam et al. [
8], and Murthy et al. [
9]. For more details on the topic, see [
10,
11,
12,
13,
14,
15,
16]) and the references therein.
The goal of this study is to prove some fixed-point theorems in bipolar metric spaces. In our theorems, the contraction condition is the extension of Meir–Keeler [
2] in bipolar metric spaces.
The rest of the paper is organised as follows. In
Section 2, we provide some definitions related to bipolar metric spaces, which are used in our main results. In
Section 3, we present our main result by establishing fixed-point results using an extension of Meir–Keeler type contraction in the setting of bipolar metric spaces and supplement the derived results with suitable examples. In
Section 4, we present an application to find the analytical solution to the integral equation to supplement the derived result.
3. Main Results
We begin this section with some propositions as follows.
Proposition 1. Let be a bipolar metric space, and let be four covariant maps satisfying the following conditions:
For any given there exists such thatthen Proof. Let
then
for some
and from condition (
1) we have
and so (
3) holds. From (
2) and (
3) we get (
4). □
Proposition 2. Let be a bipolar metric space, and let be two covariant maps satisfying the condition IfS is a continuous function, then T is also a continuous function.
Proof. Let a left sequence
converge to a right point
, then
tends to zero as
S is continuous and so by (
5)
tends to zero, that is,
converges to
. Similarly, we can show that if the right sequence
converges to the left point
, then
converges to
. So,
T is also continuous. □
Proposition 3. Let be a bipolar metric space and let be two covariant maps that are compatible. If ξ is a coincidence point of S and T (i.e., ) then . That is, a compatible map is weakly compatible.
Proof. This can be easily proved by taking in the Definition 5. □
Proposition 4. Let be a bipolar metric space and let be four covariant maps such that the quadruple is compatible. If ξ is a coincidence point of all these four mappings, then and .
We now prove a lemma that will be used in proving our main theorems.
Lemma 1. Let be a complete bipolar metric space and is a bisequence in satisfying the condition: For any given there exists such thatthen the bisequence is the Cauchy bisequence. Proof. Let
and
then from given condition
and
both are monotonic non-increasing bounded below sequences. Hence,
If
then for this
there exists
such that (
6) holds.
Using (
8), we can find
such that for each
This implies from (
6) that
This contradicts (
8). So,
and
Claim:
is Cauchy. Suppose not. So, there exists
such that
For this
there exists
so that (
6) holds.
Let
. So, we have
Using (
9), (
10) and (
11), we can find integers
such that,
Now, we consider two cases.
If
, then for
we have by (B3)
Using (
13) and (
14) above, the inequality implies
Similarly, we can prove that
This implies, since
and
, that there exists
such that
This implies (
12) that
Now
This contradicts (
16). Similarly, we get the contradiction if
. Therefore,
is Cauchy. □
Our first main result is as follows:
Theorem 1. Let be a complete bipolar metric space and let be two covariant maps satisfying the following conditions
- 1.
S and T are compatible mappings.
- 2.
S is continuous.
- 3.
- 4.
For any given there exists such that
where and Then the functions S and T have a unique common fixed point. Proof. Let , and choose and such that and . This can be done since . In general, we can choose such that and for all .
If
for some
then this implies by a given condition that
and if
then this implies by condition (
17) that
. So, by Lemma 1
is a Cauchy bisequence, and as
is complete,
converges and, thus, biconverges to a point
. Hence
Since
S and
T are compatible, hence
Now, by Proposition 2, both the functions
S and
T are continuous, so we have
By the compatibility of
S and
T, we have
Let , then we will show that u is a common fixed point of S and T.
Let
then
which is a contradiction. So
So u is a common fixed point of S and T.
Uniqueness: Let us assume that
u and
v be two distinct common fixed points of
S and
T. If
, then
which is a contradiction. So
, and this implies
, and the proof is complete. □
In the above theorem, if we take S as an identity mapping, then we get the following corollary.
Corollary 1. Let be a complete bipolar metric space and let be a covariant map that satisfies the following condition.
For any given there exists such thatthen the function T has a unique fixed point. In the above corollary, if we take
, then we get the main result of Meir and Keeler [
2].
In our next result, we do not require the continuity of S and we have used weakly compatible maps in place of compatible maps.
Theorem 2. Let be a bipolar metric space, and let be two covariant maps satisfying the following conditions
- 1.
S and T are weakly compatible maps.
- 2.
is complete
- 3.
S is injective
- 4.
- 5.
For any given there exists such that
where and Then the functions S and T have a unique common fixed point. Proof. Let the bisequence
be as in the proof of Theorem 1, then by the same theorem the bisequence
is a Cauchy bisequence and hence biconverges to a point
. Hence
for some
. So,
Now, by using Proposition 1, we have the following.
By (
21) and (
22), we have
Again from (
23), we have
and
. So
. Thus,
u and
are two coincidence points of
S and
T. We will prove that
. Suppose not. Then
and we get
This is a contradiction. So and hence .
So, u is a common fixed point of S and T. Uniqueness can be proved as in Theorem 1. □
The following example supplements the derived results of Theorem 2.
Example 1. Let X be the class of singleton subsets of and Y be the class of nonempty bounded subsets of the metric space where , for all . We define a function by . We will show that is a bipolar metric space.
- (B1)
It is clear that , for every . Let , then . This implies .
- (B2)
for all .
- (B3)
Let and , then . Therefore, is a bipolar metric space.
Let be two covariant maps defined byfor every and . Here we observe the following: S and T are weakly compatible maps for let for some , then , so .
is complete.
S is injective.
.
for any given , if we choose δ with and with then this implies that . So we get
If then as S is injective, so .
Therefore, all the conditions of Theorem 2 are satisfied, so S and T have a unique common fixed point.
Remark 1. In the above example, one can easily see that cannot be a metric space as and the triangle inequality is meaningless.
For a common fixed point of four mappings, we have the following theorem:
Theorem 3. Let be a complete bipolar metric space and let be four covariant maps satisfying the following conditions
- 1.
The quadruple (f, S, g, T) is compatible.
- 2.
All four mappings are continuous.
- 3.
and
- 4.
For any given there exists such that
where and Then the functions and g have a unique common fixed point. Proof. Let , and choose and such that and . This can be done since and . In general, we can choose such that and for all .
Let and . Then by condition 4 of the theorem we have and if , then again by condition 4 of the theorem we have
So, by Lemma 1, the sequence is a Cauchy bisequence. Since is complete, the sequence biconverges to some point . So and converge to .
Since the quadruple
is compatible, we have
and
0. As all four functions
and
T are continuous, this implies
and
. So
and
. Let
then
. This is a contradiction. So,
By compatibility, this implies
and
that is,
and
. If
then
. This is a contradiction. So,
Now let that is then . This is a contradiction. So . Thus, u is a common fixed point of and T.
For uniqueness, assume that u and v are two fixed points of and T. If such that with u≠v. Then . This implies , a contradiction. So , that is, □
Remark 2. In the above theorem, taking and , we get Theorem 1 as a corollary.
Example 2. Let and and the distance function is defined by for all and .
Then is a complete bipolar metric space.
Let us consider two covariant maps S and defined by for all and for all . We can see thatandSo, , S and T are continuous functions. Now we are going to verify the compatibility of S and T.
For this, let be a sequence in such that for some .
Without loss of generality, we can assume that .
So, and . Both and converge to ξ, so .
Now . Similarly, we have . Hence S and T are compatible.
Now we show that S and T satisfy condition 4 of Theorem 1.
For this, let be given. Then the maximum value of δ is given byLet us verify the above condition for . For this ϵ, we take . Let . This implies . This is possible only if so that . This gives and hence . For other values of ϵ, one can verify in a similar way. Therefore, all the conditions stipulated in Theorem 1 are satisfied and 0 is the unique common fixed point of S and T.
Example 3. Let be the bipolar metric space as in the above example. Let us consider four covariant maps and defined by and for all and for all .
Then we can easily verify that all the conditions given in Theorem 3 are satisfied. Hence, A, B, S and T have zero as a common fixed point.