Abstract
Let and be nonempty disjoint subsets of a metric space . For a non-self-mapping , which is fixed-point free, a point is said to be a best proximity point for the mapping whenever the distance of the point to its image under is equal to the distance between the sets, and . In this article, we establish new best proximity point theorems and obtain real extensions of Edelstein’s fixed point theorem in metric spaces, Krasnoselskii’s fixed point theorem in strictly convex Banach spaces, Dhage’s fixed point theorem in strictly convex Banach algebras, and Sadovskii’s fixed point problem in strictly convex Banach spaces. We then present applications of these best proximity point results to complex function theory, as well as the existence of a solution of a nonlinear functional integral equation and the existence of a mutually nearest solution for a system of integral equations.
Keywords:
best proximity point; strictly convex Banach algebra; measure of noncompactness; Sadovskii fixed point theorem MSC:
47H30; 47H09; 46B20
1. Introduction
In 1911, Brouwer proved that if is a nonempty, bounded, closed, and convex set and is continuous, then has a fixed point; that is, there exists a point for which .
In 1930, Schauder [1] first established an infinite–dimensional generalization of Brouwer’s fixed point theorem (FPT for brief) as follows.
Theorem 1.
Let be a nonempty, compact, and convex subset of a Banach space . If is continuous, then φ has a fixed point.
We mention that if is a nonempty subset of a Banach space , then a function is a compact operator whenever maps bounded sets into relatively compact sets. In this situation, we can consider the following more useful version of Schauder’s FPT.
Theorem 2
(Schauder’s FPT). Let be a nonempty, bounded, closed, and convex subset of a Banach space . If is a continuous and compact operator, then φ has a fixed point.
The Schauder’s FPT is one of the most powerful tools in dealing with nonlinear problems in analysis, and, in particular, it has played a major role in the development of fixed point theory and the theory of differential equations.
Due to the fact that Schauder’s FPT has fundamental importance, the theorem has been generalized in various directions by different methods. These generalizations can be divided into two kinds. The first one is purely topological, and the second one is of probabilistic interest in connection with stochastic analysis and stochastic finance.
Let be a metric space. A mapping is said to be a contraction if there exists a constant such that
Moreover, the mapping is called a contractive mapping provided that
Clearly, the class of contractive maps contains the family of contractions.
In 1922, Banach established the following FPT in his thesis in order to guarantee the existence of a solution to an integral equation.
Theorem 3
(Banach’s FPT). Let be a complete metric space and be a contraction mapping. Then φ has a unique fixed point, and for each , the iterate sequence converges to the fixed point.
Banach’s FPT is extremely helpful to solve integral and differential equations, providing a constructive method to approximate their solutions with an adjustable accuracy.
It is worth noticing that Theorem 3 does not hold for contractive maps. For instance, if we consider the space consisting of the real-valued continuous functions defined on equipped with the supremum norm and if we set
Then M is a closed subset of , and so it is a complete metric space. Now, it is easy to see that the self-mapping defined by
is a contractive mapping that is fixed-point-free.
In 1962, Edelstein ([2]) extended the Banach contraction principle to contractive self-mappings as follows.
Theorem 4
(Edelstein’s FPT). Let be a compact metric space and be a contractive mapping. Then φ has a unique fixed point, and for each , the iterate sequence converges to the fixed point.
In [3], Krasnoselskii observed that in some of the problems, the integration of a perturbed differential operator gives rise to a sum of two applications, a contraction and a compact application. So, he combined Banach’s FPT and Schauder’s FPT and obtained the next widely used result.
Theorem 5
(Krasnoselskii’s FPT). Let be a nonempty, closed, and convex subset of a Banach space . Suppose and are two maps such that
- (i)
- φ is a contraction;
- (ii)
- ψ is a continuous and compact operator;
- (iii)
- .
Then the operator has a fixed point; that is, there exists an element for which .
Krasnoselskii’s FPT is useful in establishing existence results in some mathematical problems. Since then, a huge number of papers have appeared, contributing generalizations or modifications of Krasnoselskii’s fixed point theorem and their applications.
Meanwhile, a large class of problems, for instance in integral equations and stability theory, has been adapted by Krasnoselskii’s fixed point method. Several extensions of the theorem have been made in the literature in the course of time by modifying the conditions (i), (ii), and (iii).
Inspired by Krasnoselskii’s FPT, Dhage in [4] proved the following FPT for multiplication of two maps in the framework of Banach algebras.
We recall that a Banach space is a Banach algebra provided that there exists an operator with for all which is associative and bilinear and that
Theorem 6
(Dhage’s FPT). Let be a nonempty, bounded, closed, and convex subset of a Banach algebra and let , be two operators such that
- (i)
- φ is a contraction with the contractive constant ;
- (ii)
- ψ is a continuous and compact operator;
- (iii)
- .
If , where , then has a fixed point, i.e., there exists a point such that .
The hybrid FPTs in Banach algebras are also useful for proving the existence theorems for certain nonlinear differential and integral equations. Here in this paper, we illustrate the applicability of an extension of Dhage’s FPT (Corollary 4) by considering nonlinear functional integral equations (see Examples 3 and 4).
The current paper consists of five sections. Section 1 is the introduction, and Section 2 describes the concepts of proximal pairs, projection operators, and best proximity points for non-self-maps and relates some basic facts.
In Section 3, we present the best proximity version of Edelstein, Krasnoselskii, and Dhage FPTs (Theorems 4–6).
Section 4 is devoted to obtaining a generalization of Sadovskii’s FPT, which leads to obtaining extensions of Darbo and Schauder FPTs in the setting of strictly convex Banach spaces.
Finally, in Section 5, we use our existence results to give an application to complex function theory and find a solution to a class of nonlinear functional integral equations.
We also define a notion of mutually nearest solutions for a system of integral equations and study their existence by applying a best proximity version of Schauder’s FPT.
2. Preliminaries
We recall that a Banach space is said to be strictly convex if for any two distinct points such that , it is the case that . Hilbert spaces and spaces are instances of strictly convex Banach spaces.
Let and be nonempty subsets of a metric space . We will say that a pair has a property if and only if both the sets and have that property. For instance, being closed means that both and are closed subsets of . We set
Also, the proximal pair of the pair is denoted by , where
In general, the proximal pairs may be empty. However, if is a compact pair in a metric space M or is a bounded and closed pair in a reflexive Banach space , then its proximal pair is nonempty.
Definition 1.
A nonempty pair in a metric space is said to be proximinal if and .
For a nonempty subset of a metric space M, a metric projection operator is defined with
It is worth mentioning that if is a nonempty, bounded, closed, and convex subset of a reflexive and strictly convex Banach space , then the metric projection is a single-valued map from onto .
The next proposition plays a fundamental role in the proof of our main corollaries in this paper.
Proposition 1
([5]). Assume is a strictly convex Banach space and is a nonempty, closed, and convex pair in for which is nonempty. Define a map with
Then the following statements hold:
- (i)
- for any and is cyclic on , i.e., and ;
- (ii)
- and are isometry;
- (iii)
- and are affine;
- (iv)
- and , where denotes the identity mapping on a nonempty subset A of .
Here, we recall a geometric concept on a nonempty pair of subsets of a metric space which was first introduced in [6].
Definition 2.
Let be a pair of nonempty subsets of a metric space such that . The pair is said to have the P-property if and only if
where and .
It is clear that for a nonempty subset of a metric space , the pair has the P-property.
Remark 1.
It was proved in [7] that every nonempty and convex pair in a strictly convex Banach space has the P-property. Furthermore, it is worth noticing that the strict convexity assumption of the Banach space in Proposition 1 can be replaced by the P-property of (see [7] for more details).
Definition 3.
Let be a pair of nonempty disjoint subsets of a metric space and be a non-self-mapping. A point is said to be a best proximity point of φ provided that
The relevance of best proximity points is that they provide optimal solutions for the problem of best approximation between two disjoint sets.
We mention that in 2011, Sadiq Basha [8] introduced a class of non-self-maps, called proximal contractions of the first and second kinds, to investigate the existence, uniqueness, and convergence of a best proximity point (see also [9] for more details).
3. Generalizations of Edelstein, Krasnoselskii, and Dhage FPTs
In this section, we prove three theorems, which are connected with Edelstein, Krasnoselskii and Dhage FPTs. We begin by introducing the novel family of non-self proximal contractions.
3.1. Best Proximity Version of Edelstein’s FPT
Definition 4.
Let be a pair of nonempty disjoint subsets of a metric space . A map is called Edelstein proximal contractive if
where .
Our first main result is the following best proximity point theorem.
Theorem 7.
Let be a pair of nonempty subsets of a metric space such that is nonempty and compact. Assume that and satisfy the following conditions:
- (1)
- φ is an Edelstein proximal contractive mapping;
- (2)
- ;
- (3)
- ;
- (4)
- f is an isometry.
Then there exists a unique element such that
Proof.
For an element , since and , there is a point such that . Let be such that . Because of the reality that is an Edelstein proximal contractive mapping and f is an isometry, .
Then for any , there exists only one point for which . So, we can consider a self-map such that
Note that for any with , we have and thus
which ensures that is a contractive self-map. Since is compact, we can use Edelstein’s FPT to obtain a unique fixed point for the mapping , say . In this situation, we conclude that
and the result follows. □
The next best proximity point results are obtained from Theorem 7 immediately.
Corollary 1.
Let be a pair of nonempty subsets of a metric space such that is nonempty and compact. Assume that is an Edelstein proximal contractive mapping such that . Then φ has a unique best proximity point.
Corollary 2.
Let be a pair of nonempty subsets of a metric space such that is nonempty and compact and has the P-property. Assume that is a contractive mapping such that . Then φ has a unique best proximity point.
Proof.
Note that if were with , then by the fact that is a contractive map and has the P-property,
In the case that , we use again the P-property on the pair to obtain . Therefore, is an Edelstein proximal contractive mapping, and the result follows from Theorem 7. □
Example 1.
Consider , which consists of all real-valued continuous functions defined on , endowed with the norm
Then is a Banach space, and because of the appearance of we can see that is strictly convex. Also, in view of the fact that the norms and are equivalent, is not reflexive. Set
Then is a closed and convex pair in a strictly convex Banach space , and so has the P-property. By and , we denote the distance between the sets and w.r.t. the norms and . Clearly, . Moreover, if we consider
then and that
which implies that . Therefore, . Define with
Then φ is a contractive non-self-mapping but does not have a best proximity point because of the fact that .
3.2. Best Proximity Version of Krasnoselskii’s FPT
The next result gives us a sufficient condition that assures the existence of a best proximity point for the sum of two non-self-mappings.
Theorem 8.
Let be a pair of nonempty, closed and convex subsets of a strictly convex Banach space such that is nonempty and compact. Suppose and are two maps satisfying the following assumptions:
- (i)
- φ is a contractive mapping;
- (ii)
- ψ is a continuous and compact operator;
- (iii)
- .
Then there is a point such that , where I is an identity mapping.
Proof.
As a result of [7], the pair is closed, and it is easy to see that it is also convex. For an arbitrary and fixed element , define for any . By assumption (iii), is a self-map on .
Moreover, if and are disjoint points in , then by the fact that is a contractive mapping, we obtain
That is, is a contractive self-mapping on the compact set . Edelstein’s FPT guarantees the existence of a unique fixed point for the mapping , which is in correspondence to v, say . Hence,
and so, . Furthermore, for distinct elements we have
and
This implies that is a homeomorphism on and thereby . Now, by considering the proximal projection operator defined as on , which is cyclic, we obtain
Since is a compact and continuous operator, the mapping is compact and continuous too. Apply Schauder’s FPT to find a fixed point for this map; that is,
and so, by the property (i) of the proximal projection operator, we conclude that
and this completes the proof. □
Remark 2.
As we mentioned in Remark 1, we can replace the condition of strict convexity of the Banach space in Theorem 8 with the P-property of the pair .
The next corollary is an extension of Krasnoselskii’s FPT.
Corollary 3.
Let be a nonempty, compact, and convex subset of a Banach space . Suppose are two maps that satisfy the following conditions:
- (1)
- φ is a contractive mapping;
- (2)
- ψ is a continuous;
- (3)
- .
Then the mapping has a fixed point; that is,
Proof.
We consider in Theorem 8 and note that has the P-property. Then the result follows. □
The next example is presented to illustrate Theorem 8.
Example 2.
Consider the Banach space and let
Obviously, is a bounded, closed, and convex pair with . Also, if and are such that
then we must have and and so,
that is, has the P-property. Furthermore,
Define with
Then for any we have
which implies that φ is a contractive mapping. Clearly, ψ is continuous and compact. Moreover, for , we have , and so,
that is, . Therefore, all of the conditions of Theorem 8 hold, and there exists a point such that .
To find this point, by a simple calculation, we can find that for all , and so,
Now, if we consider , then , and so , which implies that
3.3. Best Proximity Version of Dehage’s FPT
The third main theorem of this section is devoted to the best proximity version of Dhage’s FPT as below.
Theorem 9.
Let be a strictly convex Banach algebra and be a nonempty, bounded, closed, and convex pair in such that is nonempty and compact. Assume that and are two maps satisfying the following conditions:
- (i)
- φ is a contractive mapping;
- (ii)
- ψ is a continuous and compact operator with ;
- (iii)
- .
Then
Proof.
Let be an arbitrary point, and for any , define . It follows from condition (iii) that is a mapping from into itself.
Also, for any disjoint elements using the fact that is a Banach algebra and is a contractive mapping, we have
Thus, for any , the mapping is contractive on a compact domain. By using Edelstein’s FPT, has a unique fixed point, which will be denoted by . Thereby,
So, we can define a mapping for which
The map g has the following properties:
♠ g is continuous. To show this, let be a sequence in such that .Then
Hence,
If in the above inequality , by the continuity of , we obtain and so, g is continuous.
♠ g is a compact operator. In this regard, let be a fixed element. Then for any , we have
which concludes that is bounded on with the bound . Now suppose that is a sequence in . Since is compact, we may assume that . Then for any we have
which deduces that
This implies that is totaly bounded, and so it is relatively compact. Hence, g is a compact operator.
Consider the composition operator , which is compact and continuous on a bounded, closed, and convex set . Schauder’s FPT leads to the existence of a fixed point for , say , that is, and so, because of the fact that . Thereby,
and we are finished. □
Remark 3.
We can replace the strict convexity of a Banach space with the P-property of the pair in Theorem 9.
The following novel fixed point result is a direct consequence of Theorem 9.
Corollary 4.
Let be a nonempty, compact and convex subset of a Banach algebra , and suppose are maps that satisfy the following assumptions:
- (1)
- φ is a contractive mapping;
- (2)
- ψ is a continuous operator with ;
- (3)
- .
Then the multiplication mapping has a fixed point, i.e.,
4. Sadovskii Proximal Condensing Operators
In this section, we apply a concept of measure of noncompactness to introduce a new family of condensing operators that satisfy the Sadovskii contractive condition.
To this end, we recall the notion of measure of noncompactness, which was used to extend Schauder’s FPT. Throughout this section, stands for the set of all nonempty and bounded (compact) subsets of a Banach space .
Definition 5.
A function is said to be a measure of noncompactness (MNC) if it satisfies the following axioms:
- (1)
- The family is nonempty and ;
- (2)
- , ;
- (3)
- If , then , where ;
- (4)
- , where denotes the convex hull of the set ;
- (5)
- If for a nonincreasing sequence of nonempty, bounded and closed subsets of , thenNote that .
A trivial example of MNCs is the function
We refer to [10] for more interesting examples and applications of MNCs.
Consider a non-self-map where is a nonempty, bounded, closed, and convex pair in a Banach space with and .
By we denote the set of all pairs such that is a nonempty, closed, convex and proximinal pair with and . It is worth noticing that .
We are now in a position to introduce a novel family of non-self-mappings by using the concept of MNC as follows.
Definition 6.
Let be a nonempty, bounded, closed, and convex pair in a Banach space such that , and let μ be an MNC on . We say that is a Sadovskii proximal condensing operator if and
Note that if in the above definition, then we get the concept of -condensing operator, which was considered in [11].
Here is the main result of this section.
Theorem 10.
Suppose is a nonempty, bounded, closed, and convex pair in a strictly convex Banach space such that , and let μ be an MNC on . If is a continuous Sadovskii proximal condensing operator, then φ has a best proximity point.
Proof.
Let be such that . Then . Set
Note that . Let
Then , and so, . Clearly, is closed, convex, and -invariant.
To show the proximinality of the pair , assume that . Then for each index i where . Since the pair is proximinal for all i, there is a point for which .
The strict convexity assumption of the Banach space implies that for all i, and so . Thus, the pair is also proximinal, which ensures that and that is a minimal element of w.r.t. the reverse inclusion relation.
Note that if , then . In this situation, the mapping is a continuous and compact operator. By Proposition 1, since is cyclic on ,
which concludes that is a compact operator that maps the convex set into itself, continuously. It now follows from Schauder’s FPT that
Then
and the result follows in this case.
So, assume that . Define
Note that , which deduces that . By definition, the pair is proximinal. Also, is closed and convex.
We show that is closed. Let be a sequence in such that . Then for each , there is a point such that . Since is continuous, . Also, by the fact that , we obtain . So, , that is, is closed.
To see the convexity of , it is sufficient to note that by Proposition 1, is affine, and the result follows. Furthermore, and so,
Thus
which ensures that is -invariant. Hence, and by the minimality of , we must have
Now, by this reality that is a Sadovskii proximal condensing operator, we have
which is a contradiction, and this completes the proof. □
Remark 4.
It is remarkable to note that we can replace the strict convexity assumption of the Banach space in Theorem 10 with the P-property of the pair .
The next results are obtained from Theorem 10.
Corollary 5
(Sadovskii’s FPT; [12]). Suppose is a nonempty, bounded, closed, and convex subset of a Banach space , and let μ be an MNC on . If is a continuous map such that
for all nonempty set with , then φ has a fixed point.
Proof.
By considering in Theorem 10, the result follows. Note that we do not need the strict convexity of the Banach space , because has the P-property. □
Corollary 6
([13]). Suppose is a nonvoid, bounded, closed, and convex pair in a strictly convex Banach space such that and let μ be an MNC on . If is a continuous map such that and
for some , then φ has a best proximity point.
Corollary 7
(Darbo’s FPT; [14]). Suppose is a nonempty, bounded, closed, and convex subset of a Banach space , and let μ be an MNC on . If is a continuous map such that there exists for which
for all nonempty set . Then φ has a fixed point.
The next result is the best proximity version of Schauder’s FPT.
Corollary 8.
Let be a nonempty, bounded, closed, and convex pair in a strictly convex Banach space such that . Suppose is a compact and continuous operator for which . Then φ has a best proximity point.
5. Applications
In the latest section of this paper, we present some applications related to the previous results.
5.1. Application to Complex Function Theory
Theorem 11.
Consider a nonempty, bounded, closed, and convex pair of subsets of a domain in the complex plane. Suppose φ is analytic in , which maps into , and is a mapping for which for all . If for all , then there exists a unique point such that
Proof.
Since is a compact pair, is nonempty. Moreover, since the complex plane with Euclidean norm is strictly convex and the pair is convex, by a result of [7], has the P-property.
Now let be an arbitrary element. Then there is a point such that . From the hypothesis of the theorem, we must have
which implies that and so, . Furthermore, for any we have
that is, is a contractive non-self-mapping. Hence, the result follows by invoking Corollary 2. □
Corollary 9.
Let be a nonempty, bounded, closed, and convex subset of a domain in the complex plane. Assume that φ is analytic in , which maps into itself. If for all , then φ has a unique fixed point.
Proof.
It is sufficient to consider and in Theorem 11. □
5.2. Application to Nonlinear Functional Integral Equations
In the continuation of this section, we focus on hybrid FPTs obtained in Corollary 3 and Corollary 4 to guarantee the existence of solutions of two classes of nonlinear functional integral equations.
The first class of integral equations, which is considered in Example 3, contains the sum of two operators, and the second class of integral equations, which appears in Example 4, consists of the multiplication of two operators.
In this way, for the first family of integral equations, we need to use an extension of Krasnoselskii’s FPT, which was concluded in Corollary 3, and for the second category of nonlinear functional integral equations, we apply a generalization of Dehage’s FPT, which was deduced in Corollary 4.
Example 3.
Given a closed interval and , the following nonlinear functional integral equation (NFIE)
where is a continuous and bounded function, has a solution.
Proof.
Consider a Banach space endowed with the supremum norm and define
where for some . By using Arzela–Ascoli’s theorem, we find that is a compact subset of , and it is easy to see that is convex. Let and be defined by
Note that is continuous. Also, for all we have
which deduces that
that is, is a contractive map. Moreover, for any we have and
which implies that . Now by applying Corollary 3, the NFIE (1) has a solution. □
Example 4.
For some consider the following NFIE
where is a continuous function. If for all , then Equation (2) has a solution.
Proof.
Consider a Banach algebra and define
Arzela–Ascoli’s theorem implies that is a compact subset of . Let and be defined as
By a similar proof of Example 3, is contractive. Moreover, is continuous and
and so, . We also note that for all . Furthermore, for any and we have
Thereby, . Thus, all of the assumptions of Corollary 4 are satisified, and so the NFIE (2) has a solution. □
5.3. Application to a System of Integral Equations
As another application of our main conclusions, we investigate the existence of a mutually nearest solution for a system of integral equations that does not have a common solution.
To this end, let , , and be such that . Assume that are continuous non-negative real functions on R.
Also, let be such that for all and . Let us consider the following system:
We note that the above system does not have a common solution for both equations. To define an appropriate solution for this system, we need the following requirements.
Let be renormalized according to
It is well-known that is a non-reflexive strictly convex Banach space such that for all . Set
Obviously, the pair is closed and convex in and . Suppose that is a common bound for the functions on R. Choose
and consider the closed interval . Now define a non-self-mapping with
Then , and clearly, . Also, for any we have
Thus, , and so, maps the set into .
We are now in a position to introduce the following notion for the system (3).
Definition 7.
We now state the following existence result.
Theorem 12.
Under the aforementioned notations and definitions, if
provided that , then the system (3) has a mutually nearest solution.
Proof.
At first, let us estimate the distance between two sets and . For any , we have and so
It now follows from the definition of the norm on that
On the other hand, since , we must have . Thus, . Also, since is strictly convex, the proximal pair is closed ([7]), and it is easy to see that it is also convex.
We assert that . In this regard, define a map as follows:
Then and . Moreover,
which deduces that maps the set to the set . Set
Hence for an element by choosing the constant we obtain
Thereby, which yields that
Now to show , suppose that . Then there is an element for which . It follows from the inequality (6) that
which guarantees that . Furthermore, is continuous, and for any , we have
and so, the class of is bounded. Furthermore, for any and we have
which concludes that is equicontinuous. Hence, by applying Arzela–Ascoli’s theorem, the set is relatively compact.
Now, Corollary 8 ensures the existence of a best proximity point for the mapping , which is a mutually nearest solution for the system (3). □
6. Conclusions
This work focused on the best proximity types of well-known fixed-point problems due to Krasnoselskii, Dhage, and Sadovskii in the framework of strictly convex Banach spaces (see Theorems 8–10). The proofs of these theorems are based on using the proximal projection operator defined in Proposition 1. As applications, we surveyed the existence of a solution for two classes of nonlinear functional integral equations, one of which contains the sum of two nonlinear operators, and another one consists of the multiplication of two nonlinear operators. We also considered a system of integral equations that does not have a common solution, and for this system, we introduced a notion of a mutually nearest solution, which is indeed a best proximity point for a corresponding operator to the system, and established the existence of such solutions by using Schauder’s best proximity theorem.
Funding
This research received no external funding.
Data Availability Statement
Data sharing is not applicable to this article, as no datasets were generated or analyzed during the current study.
Acknowledgments
The author would like to thank the anonymous referees for their valuable comments and suggestions.
Conflicts of Interest
The author declares that there is no conflict of interest related to the publication of this paper.
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