Abstract
In this paper, we investigate the existence of best proximity points that belong to the zero set for the -admissible weak -proximal contraction in the setting of M-metric spaces. For this purpose, we establish -best proximity point results for such mappings in the setting of a complete M-metric space. Some examples are also presented to support the concepts and results proved herein. Our results extend, improve and generalize several comparable results on the topic in the related literature.
Keywords:
m-metric space; proximal αp-admissible; αp-admissible weak (F,φ)-proximal contraction; G-proximal graphic contraction; φ-best proximity point MSC:
47H10; 54H25; 46J10
1. Introduction and Preliminaries
Several real-world problems can be reformulated as a fixed point problem. In other words, the solution of the real-world problem reduces to the solution of a fixed point problem. In some cases getting a fixed point for certain mapping is impossible. In this case, instead of exact solution, it is natural to consider the approximate solution. Roughly speaking, if the equation has no exact solution where where T is an opeator defined on a certain distance space. In 1969, Ky Fan [] suggested an answer to the question that what happen if a given mapping does not possess a fixed point. More precisely, he proved that if A is a compact, convex and nonempty subset of a Banach space S and T is continuous mapping from A to S, then there exists a point such that
This results is known as best approximation theorem. In the above statement, the point is called as approximate fixed point of T or an approximate solution of a fixed point equation In general, if are nonempty subsets of a Banach space S and then is called best proximity point of T if it satisfies
Note that turns to be a fixed point of T, if the sets have non-empty intersection. Indeed, if or , then and hence the best proximity point becomes the solution of a fixed point equation . Attendantly, best proximity point results are natural generalizations of metric fixed point results. For further discussion in this direction, we refer to [,,,,,,].
We underline the fact that a best proximity point indeed solves the following optimization problem:
On the other hand, fixed point theory has been extended in several directions. For instance, metric space structure has been changed by some new abstract space which is more general than the standard set-up. One of the significant examples of this trend was given by Matthews []. He defined the notion of partial metric space and characterized the Banach contraction principle in that space. Roughly speaking, despite the metric space, in partial metric space self-distance may not be zero. This notion especially provides some simplicity in computer science, in particular, domain theory. A number of authors have involved in this trend with interesting results, see e.g., [,,,,,,,,] and related reference therein. For the sake of completeness, we recall the concept of partial metric space as follows:
Definition 1
([]). A distance function , on a non-empty set S, is called partial metric if the followings are fulfilled:
- (p1)
- (p2)
- (p3)
- (p4)
for all . A corresponding pair is called a partial metric space.
It is evident that yields The contrary of the statement is false.
Asadi et al. [] introduced the notion of an M-metric space and obtained fixed point results in the setup of M-metric spaces. It was indicated that M-metric space is a real generalization of a partial metric space and they supported their claim by providing some constructive examples. For more results in this direction see e.g., [,].
The following notations are useful in the sequel.
- (1)
- (2)
Definition 2
([]). A distance function , on a non-empty set S, is called M-metric if the followings are fulfilled:
- (m1)
- (m2)
- (m3)
- (m4)
for all . A corresponding pair is called an M-metric space.
Lemma 1
([]). Each partial metric forms an M-metric. The converse is false.
Example 1.
Let Define
It is clear that ρ is an M-metric. Notice that ρ does not form a partial metric.
Definition 3
([]). Let be an M-metric space and A sequence in S is called:
- (1)
- convergent to if and only if
- (2)
- Cauchy sequence if and only ifexist (and are finite).
Definition 4
([]). An M-metric space is said to be complete if every Cauchy sequence in S converges with respect to ( topology induced by m ) to a point such that
Remark 1
([]). Let be an M-metric space and for every we have
- (r1)
- (r2)
- (r3)
The set of all zeros of the function is denoted by By using this notion, Jleli et al. [] introduced the notion of -fixed point as follows: If S is a non empty set, and is a given function, then is said to be - fixed point of T if and only if and We denote the set of all -fixed points of T by , that is,
In [], the authors also considered the concept of control function defined as follows:
- (F1)
- for all
- (F2)
- F is continuous,
- (F3)
- .
The set of such control functions is denoted by . An immediate examples of the control functions are collected below:
Example 2
([]). Let Define as follows:
for all Note that .
In [], the notion of -contraction mapping was defined and the existence of a fixed point for such mappings were considered.
Definition 5
([]). Let be a complete metric space and . A mapping is said to be an -contraction mapping if there exist and such that
Later, this result has been followed by several authors, see e.g., [,,,].
Let denote the set of nondecreasing functions such that for all where is an iterate of A function is called a comparison function if . Note that if then and for all [].
Remark 2
([]). Note that implies for all
In what follows we introduce the notion of “ -best proximity point”.
Definition 6.
Let be an M-metric space, are two subsets of An element is said to be a φ-best proximity point of the operator if and only if where and
We denote the set of all -best proximity points of T by , that is,
The following definitions are also needed in the sequel. Before we state the definition, we underline the following assumption: Throughout the paper, all sets and subsets are supposed non-empty. We characterize the following sets (that plays a crucial role in best proximity theory) in the setting of M-metric space.
Definition 7.
Let be an M-metric space, and be two subsets of Define
Definition 8.
Let be an M-metric space, and let be two subsets of If then mapping is said to be proximal admissible if
for all
Definition 9.
Let be an M-metric space, and . In addition, let A be a subset of S, and . Then A is said to be regular, if is a sequence in A such that and as , then for all .
In this paper, we introduce the notion of -best proximity point and prove the -best proximity point result in the setting of M-metric space. We also present an example to support our result.
2. Main Results
We start the section by introducing the notion of -admissible weak -proximal contraction mappings as follows.
Definition 10.
Let be two subsets of M-metric space and . An -admissible mapping is called an -admissible weak -proximal contraction, if there exists a lower semi-continuous function such that
for all and
By taking we shall get the following definition:
Definition 11.
Let be two subsets of M-metric space and . A mapping is said to be a weak -proximal contraction, if there exist two functions and such that
for all and .
The main result of the article is below.
Theorem 1.
Let be two subsets of an M-complete M-metric space and . Suppose that a mapping is an -admissible weak -proximal contraction. If and is regular closed set in S, then there exists a φ-best proximity point of T provided that there exist such that
Moreover, if for all , then is the unique φ-best proximity point of
Proof.
Let be such that and As , there exists in such that . Since T is proximal admissible, we have . Similarly, by we obtain a point such that which further implies that . Continuing this way, we can obtain a sequence in such that
Since T is -admissible weak -proximal contraction, we have
Since for all we obtain that
By induction, we get
It follows from the condition (F1) that
By (2), we obtain that
On the other hand, we get
Using (4) and the condition (m2), we have
Since we have
We shall indicate that is an M-Cauchy sequence. Consider such that On using (3) and the condition (m4), we have
It follows from Remark 2 and (6) that as On the other hand, by (5), we obtain that
Thus is an M-Cauchy sequence in By the completeness of S and closeness of there exists such that
Since we have
Thus by Remark 1, we get that
This implies that
Now we need to show that Using (2), we have
Letting on the inequality above, we obtain
Since is lower semi continuous, it follows from (7) and (8) that
Hence Since is regular, As we may choose a point such that and
We shall prove that On the contrary suppose that Since T is -admissible weak -proximal contraction, by using (1) and (9) we have
Letting on the inequality above, we have
which implies that
By using the condition (m4), we have
Since . This is a contradiction. Attendantly, we have
Uniqueness: Let for all Suppose that and w are two -best proximity points of T with . Hence
and
Since T is -admissible weak -proximal contraction, we have
a contradiction. Consequently, we find that is a unique -best proximity point of T. □
Corollary 1.
Let be two subsets of an M-complete M-metric space and . Suppose that a mapping is a weak -proximal contraction. If and is closed set in S, then there exist a unique φ-best proximity point of T provided that there exist such that
Proof.
It is derived from Theorem 1 by choosing □
Since an M-metric space is a partial metric space, from the Theorem 1 we deduce immediately the following result. Note that in the following result we consider the notions in Definitions 10 and 11 in the setting of partial metric spaces.
Corollary 2.
Let be two subsets of a complete partial metric space and . Suppose that a mapping is an -admissible weak -proximal contraction. If and is regular closed set in S, then there exists a φ-best proximity point of T provided that there exist such that
Moreover, if for all , then is the unique φ-best proximity point of
Proof.
Since an M-metric space is a generalization of partial metric space, from Theorem 1 we deduce the result. □
Corollary 3.
Let be two subsets of a complete partial metric space and . Suppose that a mapping is a weak -proximal contraction. If and is closed set in S, then there exist a unique φ-best proximity point of T provided that there exist such that
Proof.
It is deduced from Corollary 2 by choosing □
To support Corollary 1, we provide the following example.
Example 3.
Let and be defined by
otherwise. Then is an M-metric space. Suppose that and Note that and Define a mapping as:
Note that Define functions and by
If we take and then we have
which implies that
Hence T forms a weak -proximal contraction. Thus, all the conditions of Corollary 1 are satisfied. Moreover, is a unique φ-best proximity point.
To support Corollary 3, we provide the following example.
Example 4.
Let . Define the mapping by
Then is a partial metric space. Suppose that and Note that and Define a mapping as:
Note that Define mappings and by
If we take and then we have
which implies that
Hence, T forms a weak -proximal contraction. Thus all the conditions of Corollary 3 are satisfied. Moreover is a unique φ-best proximity point.
3. Application to Fixed Point Theory
Let us take and suppose that T is proximal admissible mapping. Obviously
and
implies that
Hence T is admissible mapping.
Remark 3.
If , and a selfmapping T on S is -admissible weak -contraction, then implies that
where , and for all In other words, we consider the notions in Definitions 10 and 11 in the setting of standard metric spaces.
Definition 12.
A self mapping satisfying the above implication is called -admissible weak -contraction.
Corollary 4.
Let be a complete M-metric space, , and a self-mapping T be an -admissible weak -contraction. If is a sequence in S such that and then for all Then there exists a φ-fixed point of T provided that there exists such that Moreover, if for all , then is the unique φ-fixed point of
Proof.
Let us take in Theorem 1. We shall show that T is -admissible weak -contraction. Suppose that satisfies the following
As we have and Since T satisfies the condition (10), so
that is,
which implies that T is an -admissible weak -contraction Let be an arbitrary point in Define a sequence in S by
As T is admissible mapping. So, we have
By induction, we get that
Using (11) and the fact that T is contraction, we obtain
Using the arguments similar to those given in the proof of Theorem 1, we obtain that is a Cauchy sequence in S. Since is M-complete M-metric space, there exists such that
We now show that From (2), we conclude that
Again by using the arguments similar to those given in the proof of Theorem 1, we obtain that In the view of (11) and (12) we have for all By taking and in the condition (10), we have
On taking limit as on the both sides of the above inequality, we have
which implies that
By using the condition (m4), we have
Letting in the inequality above, we deduce that
Since hence
gives that is a -fixed point of
Uniqueness: Let for all Suppose that and w are two fixed point of T with . Hence
and
Since T is -admissible weak -contraction, we have
a contradiction. Attendantly, we find that is a unique -fixed point of T. □
4. Application to Graph Theory
Let S be a set and denotes the diagonal of A graph is a pair where the set of its vertices coincides with S and set of its edges which contains all loops, that is, . Furthermore, we assume that the graph G has no parallel edges. In a graph G, by reversing the direction of edges we get the graph whose set of edges and set of vertices are defined as follows:
We denote the undirected graph by obtained from G by ignoring the direction of edges.
Consider the graph as a directed graph for which the set of its edges is symmetric, under this convention, we have
Definition 13
([]). 1. A graph’s subgraph is a graph whose vertex set is a subset of and whose edge set is a subset of
- 2
- Let ξ and η be two vertices of a graph A path from ξ to η of length n(where in a graph G is a sequence of distinct vertices such that and for
- 3
- A graph G is called connected graph if there exist a path between any two vertices of graph G and if is connected then G is said to be weakly connected graph.
- 4
- A path is called elementary if no vertices appear more than once in it.
Throughout this section, we suppose that is an M-metric space endowed with a directed graph G and has no parallel edges.
We now introduce a notion of proximal graphic contraction.
Definition 14.
Let be two subsets of an M-complete M-metric space and G be a graph without parallel edges such that . A mapping is said to be a proximal graphic contraction if for all with we have
and
Theorem 2.
Let be a lower semi continuous function and a proximal graphic contraction. If , is closed set in S and there exist a path in G between any two elements ξ and η. Then there exist a unique best proximity point of T provided that there exist and an elementary path between them in and
Proof.
Let such that A path in G is a sequence containing points of by and the definition of there exist such that Similarly, for each there exists such that As is a path in From the above argument, we have and Since, T is proximal graphic contraction, it follows that In similar manner, we have the following:
If then is a path from to As and or each by the definition of there exists such that In addition, we have . As mentioned above, we have
Similarly, by there exists a point where Then is a path from and Continuing in this manner for all , we obtain a sequence where and by producing a path from and in such a way that
for all Thus we have
Now for any positive integer n
for all and Note that, and T is proximal graphic contraction. It follows from (13), that
Again by using the arguments similar to those given in the proof of Theorem 1, we obtain that
From (14) and (15), we have
where . Again by using the arguments similar to those given in the proof of Theorem 1, we obtain
Hence is a unique -best proximity point of □
5. Conclusions
In this paper, we defined -best proximity point and -admissible weak -contraction. We proved some -best proximity point results in the setting of M-metric spaces. As an application, we derived the -fixed point results for some self mappings. We also introduced the notions of proximal graphic contraction and provided an application to graph theory in the setting of M-complete M-metric space. Some examples are also presented to illustrate the novelty of the result proved herein.
Author Contributions
Writing—original draft, S.F.; Writing—review and editing, E.K. and M.A. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Acknowledgments
Authors are thankful to the reviewers for their suggestions to improve the presentation of this paper.
Conflicts of Interest
The authors declare no conflict of interest.
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