1. Introduction and Preliminaries
An important field of application of fixed point theory exist nowadays in the investigation of the stability of complex continuous-time and discrete-time dynamic systems [
1,
2,
3]. Meir–Keeler self-mappings have received important attention in the context of fixed point theory perhaps due to the associated relaxing in the required conditions for the existence of fixed points compared with the usual contractive mappings [
4,
5,
6]. A connection between
p-cyclic contractive,
p-cyclic Kannan and
p-cyclic Meir–Keeler contractions was obtained in [
7]. The notion of orbital contractions introduced in [
8] weakens the contraction condition in a different way by assuming that the contractive condition is not satisfied for all pairs
. On the other hand, an extension of Banach’s fixed point theorem is obtained in [
9] by considering a cyclical contractive condition. Some generalizations of cyclic maps that involve Meir–Keeler maps were given in [
5,
10,
11,
12]. Another kind of generalization of the Banach contraction principle is by altering the underlying space. Such kinds of generalizations are also obtained in partial metric spaces. To understand partial metric spaces, one may refer to [
13,
14,
15]. For generalizations of the Banach contraction theorem, in which the underlying space is a partial metric space, one may refer to [
16,
17,
18,
19,
20]. In this article, we give the conditions for the existence of a unique fixed point and a best proximity point of
p-cyclic orbital Meir–Keeler maps in partial metric spaces.
A partial metric space is a generalization of a metric space, as is well seen from the following definition:
Definition 1 ([13]). A partial metric space is a pair , where such that:
- (1)
(non-negativity and small self-distances)
- (2)
If then (indistancy implies equality)
- (3)
(symmetry)
- (4)
(triangularity).
A metric space can be defined to be a partial metric space in which each self-distance is zero.
It is easy to see that if is a partial metric space and if , then .
Since for any , , we have . From the triangle inequality, it follows that and are continuous functions, i.e., , provided that and , provided that and .
Example 1. For an example of a partial metric space, let us consider I to be the collection of all nonempty, closed and bounded intervals in . That is, . For , let:then it can be shown that ρ is a partial metric over I, and the self-distance of is the length b-a. This is related to the real line as follows: , and so, by mapping each to , we embed the usual metric structure of into that of the partial metric structure of intervals.
Following [
15], we will recall some basic facts and definitions about partial metric spaces.
Each partial metric on X induces a topology on X, which has the base of the family of open balls , where for all and .
If
is a partial metric on
X, then the function
given by:
is a metric on
X.
Definition 2. Let be a partial metric space.
- 1.
A sequence in converges to a point if and only if ;
- 2.
A sequence in is called a Cauchy sequence if there exists a finite limit ;
- 3.
is called a complete partial metric space if every Cauchy sequence converges, with respect to , to a point , such that .
Lemma 1 ([18]). A sequence is a Cauchy sequence in a partial metric space if and only if is a Cauchy sequence in the metric space . A partial metric space is complete if and only if the metric space is complete. Moreover, Below, we obtain a new partial metric from the existing metric and partial metric.
Example 2. Let , and let be given by for all . Then, it is easy to see that is a complete partial metric space.
Example 3 ([19]). Let and be a metric space and a partial metric space, respectively. Functions :, for , are defined by:
- 1.
- 2.
- 3.
for all introduce partial metrics on X, where is an arbitrary function and .
Now, we recall the notion of L-functions introduced by Lim in [
21], which is useful to prove the main result.
Definition 3 ([21]). A function is called an L-function if ; for every and for every , there exists such that for .
Note that every L-function satisfies the condition
for every
. Suzuki generalized Lim’s results in [
22]. The following result of Lim is used in the proof of the main result.
Lemma 2 ([22]). Let Y be a nonempty set, and let . Then, the following are equivalent:
- 1.
For each , there exists a , such that .
- 1.
There exists an L-function ϕ (which may be chosen to be a non-decreasing and continuous) such that and .
2. Main Result
For the investigation of the best proximity points, the notion of the uniform convexity of a Banach space plays a crucial role. In [
23], Suzuki et al. introduced the notion of the metric space, which satisfies property UC. In a similar way, we generalize this notion in the partial metric space.
Definition 4. Let be a partial metric space and A and B be subsets. The pair is said to satisfy the property UC if the following holds: If are sequences in A and is a sequence in B, such that and for any , there is , so that for all , then for any , there is , so that for .
Now, let us recall the notion of cyclic maps.
Definition 5. Let X be a nonempty set and be nonempty subsets of X. A map is called a p-cyclic map if , for all , where we use the convention .
Definition 6. Let be a partial metric space and be nonempty subsets of X. A point is said to be a best proximity point of T in , if , .
We introduce the notion of p-cyclic orbital M-Kcontraction as follows:
Definition 7. Let be a partial metric space,
be nonempty subsets of X and be a p-cyclic map. The map T is called a p-cyclic orbital M-K contraction if for some , for each , there exists , such that the following condition:holds for all and for all , where , for . Theorem 1. Let () be a complete partial metric space. Let be nonempty and closed subsets of X. Let be a p-cyclic orbital M-K contraction map with constants equal to zero or , .
- 1.
If for all , then is nonempty, and T has a unique fixed point . For any , satisfying (1) with , holds. - 2.
If for all and is a partial metric space with property UC, then for every satisfying (1), the sequence converges to a unique point , which is the best proximity point, as well as the unique periodic point of T in . Furthermore, is a best proximity point of T in , which is also a unique periodic point of T in , for each .
5. Examples
We start with a lemma, which is useful in checking whether a partial metric space is complete.
Lemma 6. Let be a complete metric space and be a partial metric space. Let and . The partial metric space is complete if and only if ω satisfies the condition: if , then .
Proof. is complete if and only if
is complete ([
19]). By the definition of the partial metric
, we get that:
Sufficiency: Let
be a Cauchy sequence in
, and
satisfies the condition in the lemma. From [
19], it follows that
is a Cauchy sequence in
. That is, for every
, there exists
, such that the inequality
holds for every
. Thus, from (
13), we get
, and therefore, the inequality
holds for every
. Consequently,
is a Cauchy sequence in
, hence converging to
x. From the assumption that
is a Cauchy sequence in
, it follows that the limit:
exists and is finite.
There are two cases: (I) and (II) .
(I) Let us assume that
. Then,
. Consequently, we get:
(II) Let us assume that
. From the assumption of the Lemma, it follows that
. Consequently, we get:
Thus,
is a convergent sequence in
in both cases. To prove the necessity condition, let
be a complete partial metric space. We will prove that
satisfies the conditions of the Lemma. Let us suppose the contrary, i.e., there exists a sequence
that is convergent to some point
with respect to the metric
d,
, and there is
, so that the inequality
for every
, for some
. From the convergence of the sequence
in
, it follows that there is
, such that
. By the inequality
, it follows that
is a Cauchy sequence in
. Now,
is a Cauchy sequence in
([
19]), and therefore, it is convergent. Let us denote its limit by
z. From (
13), it follows that
Consequently,
, and thus,
. Therefore,
, which is a contradiction. ☐
Example 4. Let us consider the metric space , endowed with the metric . Let us consider the function Then, is a complete partial metric space, where .
Let . Then, if and only if . By the continuity of at any different point from zero, it follows that , provided that . Let be a Cauchy sequence in . Thus, the limit exists and is finite. This limit is finite if and only if . Consequently, is a Cauchy sequence in if and only if for some and . Consequently, is a complete partial metric space.
Example 5. Let us consider the metric space , endowed with the metric . Let us consider the function Then, is a complete partial metric space with if and only if .
Let . Then, and , provided that or . Let be a sequence, such that , which is convergent to one with respect to the metric d. Then, it is a Cauchy sequence in , because the limit exists and is finite. From and , it follows that is convergent in if and only if .
Corollary 3. Let be a complete metric space and be a continuous function with respect to metric d, and let us consider the partial metric space , where . Then, if is closed in , then it is closed in .
Corollary 4. Let be a complete metric space, , and let us consider the partial metric space , where . The partial metric space is complete.
Lemma 7. Let be a complete metric space and be a continuous function with respect to the metric d. Let us consider the partial metric space , where . The partial metric space is:
- (a)
a Hausdorff space with respect to the topology;
- (b)
a normal topological space with respect to the topology.
Proof. (a) Let
. Let us put
. Let us consider the open balls
and
in
. Then,
. Indeed, let us suppose the contrary, i.e., there exists
. Then, from the inequality:
we get a contradiction.
(b) From (a), it follows that
is a
space. Let
be closed sets. Let
be arbitrarily chosen. Let us put:
The function
is a continuous function with respect to the metric
d, and thus,
exists. Let us denote
. In a similar fashion, let us denote
for every
, where
. The sets
and
are open sets and
,
. Then,
. Indeed, let us suppose the contrary. That is, there exists
. Then, there are
and
, such that
and
. Then, from the inequality:
we get a contradiction. ☐
Example 6. Let us consider the Banach space ), where and . Let us endow with the partial metric From Example 3, is a partial metric. From Lemma 6, it follows that is a complete partial metric space. We consider the sets defined by , , , . From Corollary 3, it follows that are closed sets in . Let us define a cyclic map by: Let
. Let us choose an arbitrary
. Let us denote
. Then,
. Now:
Now,
By solving the equation
, we get
The function is a continuous function in the interval . From , we get the condition that there exists such that the inequality holds whenever the inequality holds . Consequently, T is a 4-cyclic orbital Meir–Keeler contraction, and x is the unique fixed point.