Abstract
In this article, we aim to evaluate and merge the as-scattered-as-possible results in fixed point theory from a general framework. In particular, we considered a common fixed point theorem via extended Z-contraction with respect to -simulation function over an auxiliary function in the setting of b-metric space. We investigated both the existence and uniqueness of common fixed points of such mappings. We used an example to illustrate the main result observed. Our main results cover several existing results in the corresponding literature.
MSC:
54H25; 47H10; 54E50
1. Introduction and Preliminaries
The concept of fixed point first appeared in articles where solutions of differential equations were discussed, especially solutions of initial value problems. Among all such pioneer results in differential equations, we can mention and underline the renowned paper of Liouville [], and the distinguished paper of Picard []. In these papers fixed point approaches were used implicitly under the name of the method of successive approximation. The first fixed point theorem, in the setting of complete normed space, which can be described as the abstraction of the method of the "successive approximation," was announced in Banach’s thesis in 1922 []. Although not very accurate, the Banach fixed point theorem in most sources is given as follows: each contraction in a complete metric spaces admits a unique fixed point. Indeed, this is a characterization of Banach’s original result, in the context of metric space, was given by Caccioppoli []. Therefore, this result would be more accurately called Banach-Caccioppoli. In addition to the magnificence of the expression of the theorem, its proof also has special significance. What makes this result very useful and interesting is that it not only guarantees the existence of the fixed point but also shows how to find this desired fixed point. Roughly speaking, for any contraction mapping in a complete metric space , each recursive sequence (for an arbitrarily chosen initial point ) converges to and this limit forms a unique fixed point for T.
On the other hand, a fixed problem can be considered a simple equation . In almost all scientific disciplines, most of the problems can be converted into fixed point equations. This explains why fixed point theory has wide application capacity, as well as why fixed point theory has been hard work. As a result, too many results have been reported in this regard. Naturally, the emergence of so many results makes it very difficult to follow, process and functionalize these results. Under these circumstances, the best thing to do is to evaluate the current results as widely as possible and to combine these existing results as much as possible. Recently, for that purpose, some interesting papers started to appear, such as, [,,,,,,,,,,,,,,]. Among all these approaches, in this article, we focus on the notion of simulation function. The main idea of the simulation function is very simple, but also very useful and effective: For a self-mapping T on a metric space, contraction inequality can be expressed as where and . By letting and , the corresponding simulation function for Banach’s fixed point theorem is . It is clear that for many other well-known results (Rakotch, Geraghty, Boyd-Wong, etc.), one can find a corresponding simulation function; see e.g., [,,,,,,,]. In other words, simulation function can be considered a generator of different contraction type inequalities.
Inspired from the results in [], very recently, Joonaghany et al. [] proposed a new notion, the -simulation function, and with the help of it, the -contraction in the setting of the standard metric space. The notion of the -contraction covers several distinct types of contraction, including the Z-contraction that was defined in [].
From now on, we presume that and any considered sets are nonempty. Moreover, we shall fix the symbols to indicate the set of positive integers, non-negative integers, real numbers, non-negative reals and positive reals.
.
Definition 1
([]). We say that is a ψ-simulation function, if there exists such that:
- for all
- if so that
Let be the set of all -simulation functions. Note that if we take as an identity mapping, then “-simulation function” becomes “simulation function” in the sense of [].
Example 1
([]). Let .
- (i)
- for all where
- (ii)
- for all where ϕ is a self-mapping from to so that and for each , ,
- (iii)
- for all where is a mapping such that, for each ,
It is clear that .
Remark 1.
Each simulation function forms a ψ-simulation function. The contrary of the statement is false [].
Definition 2
(See [,]). Let be a given real number and be a set. A function is called b-metric with constant s, if the following are fulfilled:
- 1.
- (symmetric);
- 2.
- if and only if (zero self-distance);
- 3.
- (s-weighted triangle inequality)
Throughout the paper, the triple denotes a b-metric space with Further, the triple indicates that the corresponding b-metric space is complete.
Definition 3.
For , we have
- A sequence in is called b-convergent if there exists such that as In this case, we write
- A sequence in is called b-Cauchy if as
- A b-metric space is said to be complete b-metric if every b-Cauchy sequence in is b-convergent.
Lemma 1
([]). Suppose a sequence in provides that as If is not a b-Cauchy sequence then there exists and two sequences of positive integers and with such that , and
The aim of this paper is to combine and unify several existing fixed point results by using the extended simulations function in the setting of b-metric spaces.
2. Main Results
Theorem 1.
Let be two self-mappings on Suppose that there exists such that
for all where
Then T and S have a unique common fixed point, provided either T or S is continuous.
Proof.
Let
Since for each then
At first, we choose any and define the sequence by
Without loss of generality, we presume that successive terms in the recursive sequence are distinct. Indeed, if there exists with , then there is nothing to prove. More precisely, from our assumption, , we deduce that is a fixed point of T. In case of then we find . Consequently, we have . So, is a fixed point of S. Since, we presumed that , we conclude that is a common fixed point of S and T. On the other hand, to complete the discussion we need to address the other case: we suppose that Note that we get
which implies that
Taking the property into account, we derive
On account of the definition of , we deduce that
where
a contradiction.
Attendantly, we conclude that successive terms in the recursive sequence are distinct. Hence, , and for all ,
Now, we subdivide the rest of the proof into four steps:
Step 1: We show that To prove that, let for some we have
which implies
By we have
Hence,
where,
Consequently, for all even number Also, we can prove the same argument for all odd number Hence
Therefore, the sequence is a non-increasing and bounded below. Then it is convergent and there exists a real number such that
To prove that , suppose For we consider
Thus for each Moreover, we have
So,
From (3), we have,
By using with and we have
which is a contradiction. Therefore, the claim is proven; i.e.,
Step 2: The step is to show the obtained recursive sequence forms a b-Cauchy. By (4) it is sufficient to show that the subsequence is a b-Cauchy sequence in
On contrary, suppose that the sequence does not form a b-Cauchy. Attendantly, there are and sequences of integers and with such that
and
Now, from the definition of we have
On the other hand, by taking k sufficiently large with and since is a non-increasing, we have
Then,
By using (4), there exists such that for any
Also, there exists such that for any
Thus, for any and we have
which implies that
Thus we obtain that for any and
Hence, from (5), we have
Therefore, by (11) and
implies
Since is non-decreasing, then
So
and then , which is a contradiction. Therefore, is a b-Cauchy sequence in Since is b-complete, is b-convergent to some point
Step 3: In this step, we shall indicate that u is a common fixed point of T and S. Notice that
Letting we have
Thus
Similarly, we can show that
Now, we claim that for each at least one of the following inequalities is true:
or
If we suppose for some that both (8) and (9) are false, then we get
a contradiction. So the claim is proven. Now, we shall examine the following two cases:
Thus,
Now, we prove that On the contrary, suppose that Then
by and Remark 2, we have
a contradiction. Hence, ; i.e.,
On the other hand,
Then,
Moreover, suppose We have
The above implies, with (11)
The inequality (8) is true only for infinitely many In this case, there is such that inequality (9) is true for any Similarly to Case 1, we can prove that Therefore, by Case 1 and Case 2, u is a common fixed point of T and
Step 4. We prove that u is a unique common fixed point of S and Let u and v be two common fixed points of S and T such that . We have
This implies
where since By we have
i.e.,
But
Hence
which is a contradiction. We conclude that ; i.e., and the theorem is proven. ☐
Putting in Theorem 1 we have:
Corollary 1.
Let be two self-mappings on Suppose that there exists such that
implies that
for all where
Then T has a unique fixed point, provided that T is b-continuous.
Corollary 2.
Let be two self-mappings on Suppose that there exists such that
for all where
Then T and S have a unique common fixed point, provided either T or S is continuous.
Immediate Consequences in the Standard Metric Space
In this part, the pairs and denote the metric space and complete metric spaces, respectively.
Theorem 2.
Let be two self-mappings on Suppose that there exists such that
for all where
Then T and S have a unique common fixed point, provided either T or S is continuous.
Putting in Theorem 1 we have:
Corollary 3.
Let be two self-mappings on Suppose that there exists such that
implies that
for all where
Then T has a unique fixed point, provided that T is b-continuous.
Corollary 4.
Let be two self-mappings on Suppose that there exists such that
for all where
Then T and S have a unique common fixed point, provided either T or S is continuous.
Remark 2.
It is evident that we can list more corollaries from the our main results in several aspects: For example, by substituting the example of ψ-simulation function, letting the ψ be an identity and using the example of simulation function introduced in [,,,,].
Example 2.
Let and let be defined by . Hence forms a complete metric. We define by
and
We now verify the inequality (11). For this purpose we define by choosing , , . Now we have the following cases.
Case 1:
In this case , , then we have
Case 2:
In this case , , then we have
Hence, it is readily verified that is a -simulation function where is the identity function on and all the hypothesis of Theorem 1 are verified.
3. Nomenclature
The symbols indicate the set of positive integers, non-negative integers, real numbers, non-negative reals and positive reals.
is continuous and nondecreasing, and .
always show the non-empty set.
The triple denotes a b-metric space with
Further, the triple indicates that the corresponding b-metric space is complete.
4. Conclusions
In this paper, we conclude that several existing fixed point results can be unified and merged by using the extended simulation function, in the framework of b-metric spaces. The main result produces several consequences by considering distinct extended simulations functions. Further, all observed results can be derived in the framework of standard metric space, by let . Notice also that our results covers several existing results, such as the results in [,,]. Regarding the richness of the simulations function, as it is done in [], one can derive several well-known fixed point results from our main theorem. Indeed, explicitly writing the consequences/corollaries of our main result cannot easily fit on several pages.
Author Contributions
Writing–original draft, M.A.A. and S.G.-O.; Writing–review and editing, E.K. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
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