Abstract
In this study, we introduce a new type of contractive mapping to establish the existence and uniqueness of fixed points for this type of contraction. Some related examples are built demonstrating the superiority of our results compared to the existing onesin the literature. As applications of the results obtained, some new fixed point theorems are presented for graph-type contractions. Furthermore, sufficient conditions are discussed to ensure the existence underlying various approaches of a solution for a functional equation originating in dynamic programming.
1. Introduction and Preliminaries
Let be a self-mapping on a nonempty set M, and denote the set of all real numbers, the set of all non-negative real numbers, and the set of all natural numbers by respectively. By , we denote the set of all fixed points of . We denote by the set of functions satisfying the following conditions:
- (σ1)
- is non-decreasing;
- (σ2)
- for each sequence we have iff
- (σ3)
- there exist and such that
Jleli and Samet introduced in [1] a new type of contraction by using the function and established the following fixed point theorem.
Theorem 1.
Let be a complete metric space and be a given mapping. Suppose that there exist and such that:
Then, has a unique fixed point.
Later, Isik and Shatanawi [2] stated that the condition is not required in the proof of Theorem 1 with the help of the following lemma.
Lemma 1.
[2] Let be a non-decreasing function and a decreasing sequence such that Then, we have
We now denote by the set of all functions satisfying the conditions and In the following examples, we see some functions that belong to the set , but do not belong to
Example 1.
[2] Define with Evidently, σ satisfies , and since for also However, σ does not satisfy the condition Indeed, consider for all then and Consequently, while
Example 2.
[2] Let and It can easily be seen that σ satisfies the conditions and However, if we take for all then and Hence, and
In 2012, Samet et al. [3] adopted the notion of --contractive mappings and confirmed the existence and uniqueness of a fixed point for such mappings. Let be the family of nondecreasing functions in order that for all If then it is easy to see that for all
Let be a metric space. A self-map on M is stated to be an --contraction, if:
where and
A self-map on M is stated to be -admissible, if there exists in order that:
Using this concept, many fixed point results appeared; see [4,5,6,7,8,9,10,11,12,13,14,15]. The results presented in [3] can be abstracted as follows.
Theorem 2
([3]). Given a complete metric space , let be a mapping such that it is α-admissible and an α-ψ-contraction. Assume that the following conditions are satisfied:
- (i)
- there exists in order that ;
- (ii)
- the mapping is continuous or;
- (iii)
- for each sequence in M in order that and then for all
Then, the mapping possesses a fixed point. If in addition, we assume that for every , there exists in order that and then such a fixed point is unique.
In the indicated study, we introduce a new type of contractive mapping and establish the existence and uniqueness results for fixed points of this new type of contraction. Our results generalize and improve Theorems 1 and 2 and many others in the literature. Several examples are constructed in order to illustrate the generality of our results. As applications of the obtained results, some new fixed point theorems are presented for graph-type contractions. Moreover, sufficient conditions are discussed to ensure the existence underlying various approaches of a solution for a functional equation originating in various dynamic programming.
2. Main Results
First of all, we collect some notions and notations to state the main theorems.
Definition 1.
Given a metric space and , let be a self-mapping on M. Denote the set by:
Then, is called an (α-σ-ψ)-contraction, if there exist and in order that:
Remark 1.
Let be a metric space. If is an (α-σ-ψ)-contraction, then by (2), we deduce:
Using , we have that:
The last inequality gives us that:
Now, we can have the main theorem of this study.
Theorem 3.
Let be a complete metric space and be an (α-σ-ψ)-contraction. Assume that the following conditions are satisfied:
- (i)
- is α-admissible;
- (ii)
- there exists in order that ;
- (iii)
- is continuous or;
- (iv)
- for every in order that and for all then for all
Then, possesses a fixed point. Moreover, if for all , then we have a unique fixed point.
Proof.
By virtue of the assertion then there exists in order that Define a sequence in M by for each If there exists in order that then This finishes the proof. Due to this reason, we suppose that for all that is,
Since and is -admissible, we obtain:
Since is non-decreasing, we have:
Letting for all from the above inequality, we infer:
Thus, for all we have:
To prove that is a Cauchy sequence, let us consider condition Then, there exist and in order that:
Take By the definition of the limit, there exists in order that:
Using (6) and the above inequality, we deduce:
This implies that:
Thence, there exists in order that:
Let Then, using the triangular inequality and (9), we have:
and hence, is a Cauchy sequence in From the completeness of , then there exists in order that as If is continuous, then The uniqueness of the limit yields that
Now, assume that the assumption holds. Then, for all If there exists in order that then from the uniqueness of the limit, Therefore, the proof is completed. Hence, there exists in order that for all Thus, for all By considering Remark 1 (i), we have:
and so:
Taking the limit as in the above inequality, we obtain , and so, Now, we prove that the fixed point of is unique. Suppose that in order that Then, , and by the hypothesis, Hence, we deduce that Regarding Remark 1 (i), we obtain:
which implies that □
The following example shows that Theorem 3 is a proper generalization of Theorems 1 and 2.
Example 3.
Let with the usual metric for all Consider:
Here, we infer that:
Firstly, we claim that is an (α-σ-ψ)-contraction with and For all that is, for all with
This means that is an (α-σ-ψ)-contraction.
Now, let in order that Then, implies that , and so, Hence, the contraction is α-admissible. Moreover, there exists in order that
Let be a sequence in order that and for all Then, for all n, and so, as Thus, for all
Consequently, all hypotheses of Theorem 3 are fulfilled. Here, is the unique fixed point.
Furthermore, for and we have:
for all Therefore, does not verify the axioms of σ-contractions, i.e., Theorem 1 cannot be utilized in this example.
Furthermore, for and we obtain:
Thus, is not an α-ψ-contraction, and hence, Theorem 2 cannot be applied in this example either.
Corollary 1.
Let be an α-admissible self-mapping on a complete metric space . Suppose that:
- (i)
- there exists in order that ;
- (ii)
- is continuous or;
- (iii)
- for every in order that and for all then for all
- (iv)
- there exist and in order that:
Then, there exists a fixed point of . Moreover, if for all then such a fixed point is unique.
Proof.
This yields that (2) is satisfied. Thus, the rest of the proof follows from Theorem 3. □
Remark 2.
Let be a self-mapping on a metric space fulfilling the inequality (10). Then:
for all with Hence, we infer that:
Corollary 2.
Let be a self-mapping on a complete metric space . If there exist and in order that:
Then, there exists a unique fixed point of .
Proof.
It is enough to take in Corollary 1. □
Corollary 3.
Let be a complete metric space and be a specified mapping. If there exist and in order that:
then the mapping has a unique fixed point.
Proof.
It follows from Corollary 2 with □
3. Applications
Applying our obtained results, we will:
- present some results for graphic contractions;
- ensure the existence a solution for a functional equation originating in dynamic programming.
3.1. Some Results for Graphic Contractions
First, Jachymski [16] provided fixed point results when considering graphic contractions. For other details, see [12,17,18,19,20,21,22,23].
We start with the following.
Definition 2
([16]). The self-mapping on M is called a Banach G-contraction or just a G-contraction, if:
and decreases the weights of edges of G as follows:
Definition 3
([16]). One says that is G-continuous, if for in M such that when n tends to infinity and for all implies as
Note that if is G-continuous, then is continuous. However, the converse of the statement is not true in general.
Definition 4.
We endow a metric space with a graph G. Given . Denote by the set:
Such is stated to be an (α-σ-ψ)-G-contraction, if there exist and in order that:
Theorem 4.
Let be a complete metric space endowed with a graph G and be an (α-σ-ψ)-G-contraction. Assume that the following conditions are satisfied:
- (i)
- preserves edges of G;
- (ii)
- there exists in order that ;
- (iii)
- is G-continuous or;
- (iv)
- G satisfies the property that is, for every with as and for all implies that for all
Then, there exists a fixed point of . Moreover, if for all then such a fixed point is unique.
Proof.
Define the function by:
for all Let Then, and By the definition of we have and that is, Since is an (--)-G-contraction, we obtain:
that is,
This means that satisfies the inequality (2). To prove that is -admissible, let for all Then, By the virtue of we get and hence, This proves that is -admissible. Furthermore, clearly, together with yield and of Theorem 3. Thus, all hypotheses of Theorem 3 hold, so has a fixed point. We claim that such a fixed point is unique. On the contrary, assume that Then, by the hypothesis, , and so, Therefore, from Theorem 3, has a unique fixed point. □
Example 4.
Following Example 2.8 in [21], consider is endowed with the usual metric. Let G be a graph with and Consider:
Now, we prove that is an (α-σ-ψ)-G-contraction with and Note that if and only if and Then, we need to check the following cases:
Case 1. If and we have:
Case 2. If and we get:
Thus, is an (α-σ-ψ)-G-contraction in all possible cases. Furthermore, it is easy to see that:
- (i)
- preserves edges of G;
- (ii)
- for
- (iii)
- G satisfies the property
All hypotheses of Theorem 4 are verified. Here,
3.2. Existence Theorem for a Solution of a Functional Equation
It is known that dynamic programming provides useful tools for people working in the fields of optimization and computer programming. In particular, consider the following functional equation:
where and are bounded; and D are Banach spaces; S is a state space; and D is a decision space. We refer the reader to [17,24,25,26,27,28] for more details.
Here, we discuss the existence of a bounded solution of the functional Equation (14) by using the obtained results in the previous section.
Denote by the set of all real bounded functions defined on S. For define Given the Banach space where:
for all represents a metric on . We also define the self-operator on as:
Consider the following assumptions:
- (A1)
- there exists a function in order that if for all with , we have:where and
- (A2)
- for all implies that
- (A3)
- there exists in order that
- (A4)
- if is a sequence in in order that and , , then ,
Theorem 5.
Suppose that the assumptions – are satisfied. Then, the functional Equation (14) has at least one bounded solution.
Proof.
Let and with and Then, from there exist in order that:
and so:
From the above inequality, we obtain:
By setting by for all and using (16), we infer:
for all with and
Now, define by:
By using the same method in the proof of Theorems 5 and 3 together with the function defined by , we get the following result.
Theorem 6.
In Theorem 5, replace the assumption by the following, besides retaining the rest:
- (A1∗)
- there exists a function in order that if for all with , we have:where and
Then, Equation (14) has at least one bounded solution.
Author Contributions
All authors contributed equally in writing this article. All authors read and approved the manuscript.
Funding
This work has been financially supported by UKM Grant DIP-2017-011 and FRGS/1/2017/STG06/UKM/01/1.
Acknowledgments
The authors also thank the reviewers for careful reading of the paper and for helpful comments, allowing us to improve it.
Conflicts of Interest
The authors declare no conflict of interest.
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