Abstract
In this manuscript, we propose a new class of Picard-Jungck operators for a pair of mappings on complete metric spaces by taking into account of the -simulation function. Also, some new results for the existence of such operators for a pair of self mappings in the setting of metric spaces are obtained. Some nontrivial examples are presented to show the usability of the results.
Keywords:
point of coincidence; Picard-Jungck operators; weakly compatible mappings; ℭMSC:
55M20; 47H10
1. Introduction
The study of the Picard operators is similar to the study of contractive-type mappings in the context of metric spaces. It is easy to see that almost all contractive-type mappings on a complete metric space are Picard operators. In the present paper, we propose a new class of Picard-Jungck operators for a pair of mappings on complete metric spaces by taking into account of the -simulation function. Also some new results for the existence of such operators for a pair of self mappings in the setting of metric spaces are obtained. Some nontrivial examples are also given to show the usability of the results. The result proved here are short and generalize many known results from the literature. For different variants of simulation function we can obtain very interesting results.
To begin with, we have the following notations, definitions and results which will be used in the sequel.
Definition 1.
(See [1,2]) We define -class function as a family of continuous mappings and satisfies the following conditions:
(1) ;
(2) ⇔ either or , for all .
Employing a family of -class function, authors [1,2] generalized the class of simulation functions introduced by Khojasteh et al. ([3]) as follows:
Definition 2.
A mapping has the property , if there exists an such that
(1) implies ;
(2) , for all .
For examples of -class functions that have property see [1,2,4].
Definition 3.
(see [1]) We define as the family of all -simulation functions satisfying the following:
(1) for all , where is a -class function;
(2) if are sequences in such that , and , then .
Each simulation function as in article [3] is also a -simulation function as defined in Definition 3, but the converse of this is not true. For this see Example 3.3 of [5] using the -class function . For examples of simulation functions and -simulation functions see [1,2,3,4,5,6,7,8,9,10,11,12].
Let f and g act naturally maps on a set . Review that if for some , at that point is known as a coincidence point of f and g, and w is known as a point of coincidence of f and g. The pair is weakly compatible if f and g commute at their coincidence points.
The following result will be needed in the sequel.
Lemma 1.
(see [2,13]) Let be a sequence in a metric space such that
If is not a Cauchy in , then there exist and two sequences and of positive integers such that and the following sequences tend to when :
2. Results
In this section, we institute some results on the existence of Picard-Jungck operator (PJO) for a pair of mappings by using simulation functions in the structure of metric spaces. We begin with the following:
A sequence is a Picard-Jungck sequence (PJS) of the pair (based on ) if for all (see also ([5] Definition 4.4)).
A pair is said to be a weakly Picard-Jungck operator (WPJO) if it has a unique point of coincidence point and for all .
A pair is said to be a Picard-Jungck operator (PJO) if it has a unique common fixed point and for all .
A self-mapping f is said to be a Picard operator (PO) if it has a unique fixed point and for all .
Definition 4.
Let be a pair of self mappings on a metric space . An operator f is called a -contraction if there exists such that for all with , we have
where
Now to state our first new result for the notion of -contraction, we need the following result.
Lemma 2.
Let be a pair of self mappings on a metric space and f be a -contraction. Suppose that there exists a PJS of . Then the sequence is decreasing and as .
Proof.
Suppose that there is a PJS such that where . Suppose that for all . Substituting , in (1) we obtain that
where
If we have
which is a contradiction using (2) of Definition 2.
Therefore, . Hence we have
Using (1) of Definition 2, we have . Hence, for all we get that .
Further we have to prove that for . Indeed, suppose that for some . So we choose (which is obviously possible by the definition of PJS ) and hence also . Then following the previous arguments, we have
which is a contradiction.
Therefore there exists such that . Suppose that . Since and both and tend to D, using (2) of Definition 3, we get
which is a contradiction. Hence .□
Lemma 3.
Let be a pair of self mappings on a metric space and f be a -contraction. Suppose that there exists a PJS of . Then the PJS is a Cauchy sequence.
Proof.
Suppose that there is a PJS such that where .
If for some , then and f and g have a point of coincidence. Therefore, suppose that for all . Using Lemma 2, we have for all and .
Now, we have to show that is a Cauchy sequence. Suppose, to the contrary, that it is not. Putting , in (1), we obtain
where
Now, since the sequence is not a Cauchy sequence, by Lemma 1, we have , , and tend to , as . Therefore, using (2), we have
which is a contradiction. Therefore, the PJS is a Cauchy sequence.□
Now, we recall the following result of Abbas and Jungck [14] to be used in the sequel.
Proposition 1.
Let f and g be weakly compatible self maps of a set . If f and g have a unique point of coincidence , then w is a unique common fixed point of f and g.
Theorem 1.
Let be a pair of self mappings on a metric space and f be a -contraction. Suppose that there exists a PJS of . Also assume that at least one of the following conditions hold:
(i) or is complete;
(ii) is complete, g is continuous and is closed subspace of .
Then pair is WPJO. Moreover, if f and g are weakly compatible, then pair is PJO.
Proof.
First of all we shall prove that the point of coincidence of f and g is unique (if it exists). Suppose that and are distinct points of coincidence of f and g. From this it follows that there exist two points and () such that and . Then (1) implies that
where
Therefore, we have
which is a contradiction.
In order to prove that a pair is WPJO, suppose that there is a PJS such that where .
If for some , then and f and g have a point of coincidence. Therefore, suppose that for all . Using Lemma 2, we have for all and . Now, using Lemma 3, we obtain that PJS is a Cauchy sequence.
Suppose that (i) holds, i.e., is complete. Then there exists such that as . We shall prove that . It is clear that we can suppose for all . Suppose that and using (1), we have
where
Taking , we have
Using (2) of Definition 2, we get
which is a contradiction. Hence, is a (unique) point of coincidence of f and g.
Similarly, we can prove that is a (unique) point of coincidence of f and g, when is complete.
Finally, suppose that (ii) holds. Since is complete, then there exists such that , when . As g is continuous, and is a closed subspace of . Then, we choose such that when . Suppose that Consider
where
Taking , we have . Using (2) of Definition 2, we get , which is a contradiction. Hence, is a (unique) point of coincidence of f and g. Hence, the result is proved in both cases.
Further, since the pair is weakly compatible, then according to Proposition 1, they have a unique common fixed point.□
Corollary 1.
Let be a pair of self mappings on a metric space and f satisfies
for all with and . Suppose that there exists a PJS of . Also assume that at least one of the following conditions hold:
(i) or is complete;
(ii) is complete, g is continuous and is closed subspace of .
Then pair is WPJO. Moreover, if f and g are weakly compatible, then pair is PJO.
Corollary 2.
Let f be a self mapping on a complete metric space and f satisfies
for all with and . Suppose that there exists a Picard sequence defined by for all . Then f is a PO.
3. Discussion
Theorem 1 and Corollary 1 hold true if, in particular, is complete, g is continuous and f and g are commuting.
It is also worth noting that the two examples given in [5] are not suitable to support their main result. Neither of these examples is a proper generalization of the corresponding result of Jungck [15]. In other words, there is a such that for all , , , (([5] Example 5.11)), resp. (([5] Example 5.12)). Also, ([4] Example 20), in the same metric space, where is such.
The following example guarantees the existence and uniqueness of a solution for a nonlinear equation.
Example 1.
Let be endowed with the usual metric for all , and consider the mappings given, for all , by
Assume that we have to solve the following nonlinear equation
Corollary 1 can be applied using the simulation function for and , . Now, we have that
Since , using Corollary 1(i) the result follows.
The following example shows that our Theorem 1 is a proper generalization of the corresponding results of Jungck [15], L.-de-Hierro et al. [5] and of Olgun et al. [16].
Example 2.
Let and be defined by . Then is a complete metric space. Define as , . Then, f is not Jungck’s contraction in the sense that there is such that for all . However, putting , , , we have that f is a -contraction with respect to ζ. Indeed, we obtain
whenever . Further, since there exists a Picard-Jungck sequence of . As both or are complete, this means that all the conditions of Corollary 1 are satisfied, i.e., the mappings f and g have a coincidence point . In other words, they have a unique common fixed point, which is the only solution of equation , .
Author Contributions
Conceptualization, S.C. and A.M.; formal analysis, S.C., A.H. and L.P.; investigation, L.P.; writing–original draft preparation, S.C.; writing–review and editing, A.H.; supervision, S.C. and A.M.; funding acquisition, A.M.
Funding
The second author would like to thank Prince Sultan University for funding this work through research group Nonlinear Analysis Methods in Applied Mathematics (NAMAM) group number RG-DES-2017-01-17.
Acknowledgments
The authors would like to thanks Stojan Radenović for his support during the preparation of this manuscript.
Conflicts of Interest
The authors declare no conflict of interest.
Abbreviations
The following abbreviations are used in this manuscript:
| PO | Picard operator |
| PJO | Picard-Jungck operator |
| PJS | Picard-Jungck sequence |
| WPJO | Weakly Picard-Jungck operator |
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