1. Introduction
Fixed-point technique offers a focal concept with many diverse applications in nonlinear analysis. It is an important theoretical tool in many fields and various disciplines such as topology, game theory, optimal control, artificial intelligence, logic programming, dynamical systems (and chaos), functional analysis, differential equations, and economics.
Recently, many important extensions (or generalizations) of the metric space notion have been investigated (as examples, see References [
1,
2,
3,
4,
5]). In 1989, the class of of
b-metric spaces has been introduced by Bakhtin [
6], that is, the classical triangle inequality is relaxed in the right-hand term by a parameter
. This class was formally defined by Czerwik [
7] (see also References [
8,
9])) in 1993 with a view of generalizing the Banach contraction principle (BCP). The above class has been generalized by Mlaiki et al. [
10] and Abdeljawad et al. [
11], by introduction of control functions (see also Reference [
12]). Fagin et al. [
13] presented the notion of an
s-relaxed metric. A 2-metric introduced by Gahler [
14] is a function defined on
(where
ℑ is a nonempty set), and verifies some particular conditions. Gahler showed that a 2-metric generalizes the classical concept of a metric. While, different authors established that no relations exist between these two notions (see Reference [
15]). Mustafa and Sims [
16] initiated the class of
G-metric spaces. Branciari [
17] gave a new generalization of the metric concept by replacing the triangle inequality with a more general one involving four points. Partial metric spaces have been introduced by Matthews [
18] (for related works, see References [
19,
20,
21]) as a part of the discussion of denotational semantics in dataflow networks. Jleli and Samet [
22] introduced the notion of a JS-metric, where the triangle inequality is replaced by a lim sup-condition. Very recently, Jleli and Samet [
23] also introduced the concept of
F -metric spaces. For this, denote by
the set of functions
the following conditions:
- (F1)
F is non-decreasing;
- (F2)
for each sequence ;
Definition 1 ([
23])
. Let ℑ be a nonempty set and be a function. Assume that there exist a function and such that for -
if and only if ;
-
;
-
for each with n and for each with we have,
Then D is said to be a F-metric on ℑ. The pair is said to be a F-metric space.
In this paper, we present a new generalization of the concept of metric spaces, namely, a —metric space. We compare our concept with the existing generalizations in the literature. Next, we give a natural topology on these spaces, and study their topological properties. Moreover, we establish the BCP in the setting of -metric spaces. As applications, we ensure the existence of a unique solution of two Fredholm type integral equations.
2. On —Metric Spaces
Definition 2. Let D be the set of functions such that:
- (ϕ1)
ϕ is non-decreasing;
- (ϕ2)
for each positive sequence ,
Let be such that:
- (i)
ψ is monotone increasing, that is, ;
- (ii)
for every
We denote by Ψ the set of functions satisfying (i)–(ii).
Now, we introduce the notion of -metric spaces.
Definition 3. Let ℑ be a nonempty set and be a function. Assume that there exist two functions and such that for all , the following hold:
-
if and only if ;
-
;
-
for each , and for each with we have
Then d is named as a -metric on ℑ. The pair is called a -metric space. It is known that property states that this metric should measure the distances symmetrically.
Remark 1. Any metric on ℑ is a -metric on ℑ. Indeed, if d is a metric on ℑ, then it satisfies () and (). On the other hand, by the triangle inequality, for every for each integer and for each with , Then () holds with and .
Example 1. Let and let be defined byfor all . It is easy to see that d satisfies () and (). But, d does not verify the triangle inequality. Hence, d is not a metric on ℑ. Further, let such that Let where and Consider,and Now, we have two cases:
- Case 1:
If we haveObserve thatThus, we get that - Case 2:
If we have
By combining the above, we conclude that for all for each integer and for each with , we have Therefore, d is a -metric.
Remark 2. It should be noted that the class of -metric spaces is effectively larger than the set of F-metric spaces. Indeed, a -metric is a —metric by considering and . We present an easy example to show that a -metric need not be a F -metric.
Example 2. Let . Define as Clearly, d is a -metric on ℑ with and . Assume that there are and . Let and for . Using , we obtain Using (), we getwhich is a contradiction. Therefore, d is not a F-metric space on ℑ. 3. Topology of -Metric Spaces
Here, we study the natural topology defined on -metric spaces.
Definition 4. Let be a -metric space and M be a subset of ℑ. M is said to be -open if for each , there is so that where A subset Z of ℑ is called -closed if is -open. We denote by the set of all -open subsets of ℑ.
Proposition 1. Let be a -metric space. Then is a topology on ℑ.
Proposition 2. Let be a -metric space. Then, for each nonempty subset C of ℑ, we have equivalence of the following assertions:
- (i)
C is -closed.
- (ii)
For any sequence we have
Proof. Suppose that
C is
-closed. Let
be a sequence in
C such that
where
. Assume that
. Since
C is
-closed,
is
-open. Hence, there is
so that
, that is,
. Also, by (
1), there is
so that
That is,
. Hence,
. It is a contradiction, and so
. That is,
is proved. Conversely, assume that
is verified. Let
. We now show that there is some
so that
. We argue by contradiction. assume that for each
, there is
. Thus, for each
, there is
. Then
and
By , we get , which is a contradiction with . Thus, C is -closed and so . □
Proposition 3. Let be a -metric space, and . Let be the subset of ℑ given as Assume that for each sequence , we have Then is -closed.
Proof. Let
be a sequence so that
From Proposition 2, we show that
. By using the definition of
, we obtain
,
. Taking
, by (
2), we get
which yields that
. Consequently,
is
-closed. □
Remark 3. Proposition 3 gives only a sufficient condition ensuring that is -closed. An interesting problem is devoted to get a sufficient and necessary condition under which is -closed.
Definition 5. Let be a -metric space. Let C be a nonempty subset of ℑ. Let be the closure of C with respect to the topology , that is, is the intersection of all -closed subsets of ℑ containing C. Obviously, is the smallest -closed subset containing C.
Proposition 4. Let be a -metric space. Let C be a nonempty subset of ℑ. If , then for .
Proof. Let
and
be such that
holds. Define
By
, it is easy to see that
. Next, we will show that
is
-closed. Let
be a sequence in
such that
By (
3), there are some
and
so that
Since
, there is
so that
If
, by
, we have
Hence, in all cases, we obtain , which yields that . Then by Proposition 2, is -closed, which contains C. Then . □
Definition 6. Let be a -metric space. Let be a sequence in ℑ. We say that is -convergent to if is convergent to σ with respect to the topology , that is, for each -open subset of ℑ containing σ, there is so that for any . Here, σ is called the limit of .
The next result comes directly by combining the above definition and the definition of .
Proposition 5. Let be a -metric space. Let be a sequence in ℑ and . We have equivalence of the following assertions:
- (i)
is -convergent to σ.
- (ii)
.
In the following, the limit of a -convergent sequence is unique.
Proposition 6. Let be a -metric space. Let be a sequence in ℑ. Then Proof. Assume that
. By
,
. Using
, there are
and
such that
for every
n. Next, in view of
and
,
and so
, which is a contradiction, and so
. □
Definition 7. Let be a -metric space. Let be a sequence in Then,
- (i)
is -Cauchy if
- (ii)
is -complete, if any -Cauchy sequence in ℑ is -convergent to some element in ℑ.
Proposition 7. Let be a -metric space. If is -convergent, then it is -Cauchy.
Proof. Let
and
be such that (
) holds. Let
be so that
For any
, there is
such that
Let . We consider the two following cases.
- Case 1:
If
. Here, by (
),
- Case 2:
If
. Here, from (
4),
Now, using
, we obtain
which implies from
that
Consequently,
that is,
is
-Cauchy. □
Now, we study the compactness on -metric spaces.
Definition 8. Let be a -metric space. Let C be a nonempty subset of ℑ. then C is called -compact if C is compact with respect to the topology on ℑ.
Proposition 8. Let be a -metric space. Let C be a nonempty subset of ℑ. Then, we have equivalent of the following assertions:
- (i)
C is -compact.
- (ii)
For each sequence , there is a subsequence of so that
Proof. Assume that
C is
-compact. Note that the set of decreasing sequences of nonempty
-closed subsets of
C has a nonempty intersection. Let
be a sequence in
C. For any
, let
. Clearly,
for each
. This implies that
is a decreasing sequence of nonempty
-closed subsets of
Z. Thus, there is
. Given an arbitrary element
. Since
, by Proposition 4, there are
and
so that
. Continuing in this direction, for any
, there are
and
so that
Since C is -compact, one says that C is -closed, and .Hence, we established that . Conversely, suppose that is satisfied. Let and such that is satisfied.
We argue by contradiction. Suppose there is
so that for any finite number of elements
,
Let
be a fixed element. Then
That is, there is
so that
. Also,
So there is
so that
for
Continuing in this direction and by induction, we build a sequence
so that
,
Note that we could bot extract from
any
-Cauchy subsequence, and so (from Proposition 7), any
-convergent subsequence. We get so a contradiction with (ii), which proves (
5). Next, let
be an arbitrary family of
-open subsets of
ℑ so that
We argue by contradiction. Assume that for every
, there is
so that
, for all
. Particularly, for all
there is
so that
for all
. By (ii), we build a subsequence
from
so that
for some
. Moreover, using (
6), there is
so that
. In view of the fact that
is a
-open subset of
ℑ, there is
so that
. Now, for each
and for every
, one writes
Using (
8) and
, there is
so that
for each
. It yields that
Consequently, by
, we find that
. Hence, we get
for
. Thus,
We get a contradiction with respect to
for all
. Then (
7) holds. Further, by (
5), there is
so that
But by (
7), for any
, there exists
such that
, which yields
Thus, C is -compact, and so (ii)⇒(i). □
Definition 9. Let be a -metric space. Let C be a nonempty subset of ℑ. The subset C is said to be sequentially -compact, if for each sequence, there are a subsequence of and so that Definition 10. Let be a -metric space. Let C be a nonempty subset of ℑ. The subset C is called -totally bounded if Due to the proof of Proposition 8, we may state the following proposition.
Proposition 9. Let be a -metric space. Let C be a nonempty subset of ℑ.
- (i)
C is -compact if and only if C is sequentially -compact.
- (ii)
If C is -compact, then C is -totally bounded.
4. Banach Contraction Principle on -Metric Spaces
In this section, we prove a new version of the BCP in the context of -metric spaces.
Theorem 1. Let be a complete -metric space and be a self-mapping. Suppose that there exists such that for all Then T has a unique fixed point in
Proof. Let
. Define the sequence
in
ℑ by
If for some
n,
then
is a fixed point of
Without restriction of the generality, we may suppose that
for all
n. Using (
9), we get
for all
Thus,
Hence, by
, we have
Since
is monotone increasing, we obtain for
Since
by
, we have
Using
, we obtain
Then from
, we have
Therefore,
is a
-Cauchy sequence in
ℑ. Since
ℑ is
-complete, we can find
such that
Next, we prove that
. We argue by contradiction. Assume that
. By using
, we obtain
for
By (
9) and
,
By using
and (
11), we get
which is a contradiction. Therefore,
and
. Thus,
T has a fixed point
. Next, we prove that
T has at most one fixed point. Assume that
and
are two fixed points of
T such that
. Then from (
9), we have
It is a contradiction. Hence, T has a unique fixed point in . □
Corollary 1. Let be a -metric space. Suppose there exist a continuous comparison function and so that holds. Let be a given mapping, where and . Assume that:
- (i)
Suppose that for each sequence , we have - (ii)
is -complete;
- (iii)
There exists such that - (iv)
There exists such that
Then S has a fixed point.
Proof. Consider
such that
is satisfied. First, we will show that
Let
, that is,
. Assume that
. By (
),
Using
, we obtain
Hence, by (
1), we have
, which yields
. Therefore,
Further, the mapping is well-defined, and the Banach contraction condition holds. Next, since the condition of Proposition 3 is satisfied, it is known that is -closed, so from , it is -complete. Finally, the result is deduced by using Theorem 1. □
5. Solving a Nonlinear Fredholm Integral Equation
This section is devoted to discusses the existence and uniqueness of a solution of a Fredholm type integral equation of the 2nd kind [
24,
25,
26,
27,
28,
29]. Consider the equation below:
Let
be the set of all continuous functions defined on
For
and
define
by
Then is a complete —metric space with and .
To study the existence of a solution for the problem (
12), we state and prove the theorem below.
Theorem 2. Consider the problem (12) via the assumptions below: - (†1)
and are continuous functions;
- (†2)
For we have - (†3)
Then the nonlinear integral equation (12) has a unique solution in Θ. Proof. Define the operator
by
The solution of problem (
12) is a fixed point for the operator (
13). By hypotheses
we have
Thus, the condition (
9) of Theorem 1 holds with
Therefore, all hypotheses of Theorem 1 are fulfilled. So the problem (
12) has a unique solution in
. □
The example below supports Theorem 2.
Example 3. has a solution in
Proof. Define the operator by Customize and in Theorem 2. Note that
Therefore, the stipulations of Theorem 2 are justified, hence the mapping
T has a unique fixed point in
, which is the unique solution of the Equation (
14). □
6. Solving a Two-Dimensional Nonlinear Fredholm Integral Equation
In many problems in engineering and mechanics under a suitable transformation, two-dimensional Fredholm integral equations of the second kind appear. For example, in the calculation of plasma physics, it is usually required to solve some Fredholm integral equations, see References [
30,
31,
32].
Now, consider the two-dimensional Fredholm integral equation of the shape:
where
e,
and
ℸ are given continuous functions defined on
and
is a function in
Let be the set of all real valued continuous functions on Consider the same distance of the above section, then for the pair is a complete —metric space with and .
Now, we consider the problem (
15) under the hypotheses below:
- (‡1)
and and are continuous functions;
- (‡2)
for all
there is a constant
such that
- (‡3)
we have
Our related theorem in this part is listed as follows.
Theorem 3. The problem (15) has a unique solution in if the hypotheses hold. Proof. Define the operator
by
then for
we get
Taking the supremum, we get
Thus, from Theorem 1, the operator (
16) has a unique fixed point in
which is considered as the unique solution of the problem (
15). □