Abstract
In the present paper, existence theorems of coincidence points of a crisp mapping and a sequence of L-fuzzy mappings have been established in a complete metric space under contractive type conditions in connection with newly defined notions of and distances on the class of L-fuzzy sets. Furthermore, we obtain some fixed point theorems for L-fuzzy set-valued mappings to extend a variety of recent results on fixed points for fuzzy mappings and multivalued mappings in the literature. As applications, first we obtain coincidence points of a sequence of multivalued mappings with a self mapping and next established an existence and uniqueness theorem of the solution for a generalized class of nonlinear integral equations.
MSC:46S40, 47H10, 54H25.
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1 Introduction
Since his creation, man has always been making sincere efforts in understanding nature intelligently and then developing a powerful connection between life and its requirements. These efforts consist of three phases: understanding of the surrounding environment, acknowledgement of new things, and then planning for the future. In this search so many issues like linguistic interpretation, inaccurate judgment, characterization of interrelated phenomena into proper classifications, use of restricted techniques, vague analysis of results and many others, highly affect the accuracy of the results. The above mentioned hurdles related with interpretation of data can be tackled to a great extent by considering fuzzy sets (due to their flexible nature) in place of crisp sets.
After the discovery of fuzzy set by Zadeh [1] a great revolution arose in the field of analysis. The potential of the introduced notion was realized by research workers of different fields of science and technology. By introducing a contraction condition for fuzzy mappings Heilpern [2] generalized the Banach principle and established a fixed point theorem for fuzzy mappings in complete metric linear spaces. Afterwards, many authors, e.g., [3–16] generalized and extended this result in various directions. In [17] Edelstein extended the Banach contraction principle by using the idea of locally and globally contractive mappings. Subsequently, many authors, e.g., [18–22] utilized this concept to prove numerous results. In 1967, Goguen [23] initiated an interesting generalization of fuzzy sets namely called L-fuzzy sets. The concept of L-fuzzy set is superior to fuzzy sets as L is a lattice which is not necessarily a totally ordered set. Recently, Rashid et al. [24] introduced the concept of L-fuzzy mappings and proved a common fixed point theorem via -admissible pair of L-fuzzy mappings.
In this article we introduce the notions of and distances for L-fuzzy sets to identify a contractive relation between L-fuzzy mappings and crisp mappings. Making use of this contractive relation on a complete metric space a coincidence point is obtained of a sequence of L-fuzzy mappings and a single valued crisp mapping. Analogous coincidence theorems for fuzzy mappings and multivalued mappings have been obtained as corollaries. These corollaries regarding coincidence point of fuzzy mappings and multivalued mappings have not been seen in the literature and therefore most of them are still original and new results. However, some imaginative fixed point theorems [3, 9, 11, 13, 17, 18, 25, 26] in the literature can be obtained as corollaries.
We also present some applications of the main theorem in two directions, one for obtaining fixed points and coincidence points of formal multivalued mappings and the other is for solutions of a generalized class of nonlinear integral equations to enhance the validity of our result.
2 Preliminaries
This section lists some preliminary notions and results. Let be a metric space, denote:
,
.
For and the sets define
Then the Hausdorff metric H on induced by d is defined as
A fuzzy set in X is a function with domain X and values in . If A is a fuzzy set and , then the function values is called the grade of membership of x in A. The α-level set of A is denoted by and is defined as follows:
A fuzzy set A in a metric linear space V is said to be an approximate quantity if and only if is compact and convex in V for each and . The collection of all approximate quantities in V is denoted by .
For , means for each . If there exists an such that then define
If for each then define
Lemma 2.1 [26]
Let be a metric space and , then for each
Lemma 2.2 [26]
Let be a metric space and , then for each , , there exists an element such that
Definition 2.3 [23]
A partially ordered set is called
-
(i)
a lattice, if , for any ;
-
(ii)
a complete lattice, if , for any ;
-
(iii)
distributive if , for any .
Definition 2.4 [23]
Let L be a lattice with top element and bottom element and let . Then b is called a complement of a, if , and . If has a complement element, then it is unique. It is denoted by .
Definition 2.5 [23]
A L-fuzzy set A on a nonempty set X is a function , where L is complete distributive lattice with and .
Remark 2.6 The class of L-fuzzy sets is larger than the class of fuzzy sets as an L-fuzzy set is a fuzzy set if .
From now, the class of L-fuzzy subsets of X will be denoted by . The -level set of L-fuzzy set A, is denoted by , and is defined as follows:
Here denotes the closure of the set B.
Definition 2.7 [24]
Let X be an arbitrary set, Y be a metric space. A mapping T is called L-fuzzy mapping if T is a mapping from X into (class of L-fuzzy subsets of Y). A L-fuzzy mapping T is a L-fuzzy subset on with membership function . The function is the grade of membership of y in .
Definition 2.8 [24]
Let be a metric space and S, T be L-fuzzy mappings from X into . A point is called a L-fuzzy fixed point of T if , for some . The point is called a common L-fuzzy fixed point of S and T if . When , it is called a common fixed point of L-fuzzy mappings.
Definition 2.9 Let , and . A metric space is said to be ε-chainable if given , there exists an ε-chain from u to v (i.e., a finite set of points , such that for all ).
Definition 2.10 [8]
A function is said to be a MT-function if it satisfies the following condition:
Clearly, if is a nondecreasing function or a nonincreasing function, then it is a MT-function. So the set of MT-functions is a rich class.
Proposition 2.11 [8]
Let be a function. Then the following statements are equivalent.
-
(i)
φ is a MT-function.
-
(ii)
For each , there exist and such that for all .
-
(iii)
For each , there exist and such that for all .
-
(iv)
For each , there exist and such that for all .
-
(v)
For each , there exist and such that for all .
-
(vi)
For any nonincreasing sequence in , we have .
-
(vii)
φ is a function of contractive factor [27], that is, for any strictly decreasing sequence in , we have .
3 Coincidence theorems for L-fuzzy mappings
In this section the notion of distance is used to study coincidence theorems concerning L-fuzzy mappings. For a metric space , we define
and
whenever and for each .
Definition 3.1 A mapping is called an uniformly locally contractive mapping if and implies . A mapping is called an uniformly locally contractive L-fuzzy mapping if and , then .
Theorem 3.2 Let , be a complete ε-chainable metric space, a sequence of mappings from X into , and a surjection such that for each and , , for some . If such that implies
for all , where is a MT-function, then S and the sequence have a coincidence point, i.e., there exists such that .
Proof Let be an arbitrary, but fixed element of X. Find such that . Let
be an arbitrary ε-chain from to . (Without any loss of generality, we assume that for each with .)
Since , we get
Rename as . Since , using Lemma 2.1 we find such that
Since , we deduce that
Similarly to , again using Lemma 2.1 we find such that
Thus we obtain a set of points of X such that and for , with
for .
Let . Thus the set of points is an ε-chain from to . Rename as . Then by the same procedure we obtain an ε-chain
from to . Inductively, we obtain
with
for .
Consequently, we construct a sequence of points of X with
for all .
For each , we deduce from (2) that is a decreasing sequence of non-negative real numbers and therefore there exists such that
By assumption, , so there exists such that (a non-negative real number) for all where .
Let
Then, for every , we obtain
Putting , we have
for all . Hence
whenever .
Since for all , it follows that is a Cauchy sequence. Since is complete, there is such that . Hence there exists an integer such that implies . This from the point of view of inequality (1) implies for all .
Now consider for all ,
Letting in the above inequality, we get , which implies for all . Hence, . □
Corollary 3.3 Let , a complete ε-chainable metric space, a sequence of mappings from X into and a surjection such that for each and , , for some . If such that , implies
for all , where , then S and sequence have a coincidence point, i.e., there exists such that .
Proof Apply Theorem 3.2 where μ is the MT-function defined as for all . □
In the following we furnish an example to support Theorem 3.2.
Example 3.4 Let , , and , whenever , then is a complete ε-chainable metric space. Let with , , η and ξ are not comparable, then is a complete distributive lattice. Suppose to be a sequence of mappings defined from X into as
and be a surjective self mapping defined as , for all . Now for , suppose ,
Assume then . For with , , and for all consider
Since all the conditions of Theorems 3.2 are satisfied, there exist a coincidence point of S and the sequence , i.e.
for some .
4 Coincidence theorems for L-fuzzy mappings via -distance
This section deals with the study of coincidence theorems in connection with the notion of -distance. The results proved in this section are also new.
Theorem 4.1 Let , a complete ε-chainable metric space, a sequence of L-fuzzy mappings from X into and a surjection such that for each and , , for some . If such that implies
for all , where is a MT-function, then S and sequence have a coincidence point, i.e., there exists such that .
Proof Since for all , the result follows immediately from Theorem 3.2. □
By taking and in Theorem 4.1 we obtain the following result.
Corollary 4.2 Let , a complete ε-chainable metric space and a sequence of L-fuzzy mappings from X into such that for each and , , for some . If such that , implies
for all , where is a MT-function, then the sequence has a common fixed point, i.e., there exists such that .
5 Coincidence theorems for fuzzy mappings
In the present section, by considering in Theorem 3.2, some further new results for fuzzy mappings are obtained.
Theorem 5.1 Let , a complete ε-chainable metric space, a sequence of fuzzy mappings from X into and a surjection such that for each and , , for some . If such that , implies
for all , where is a MT-function, then S and sequence have a coincidence point, i.e., there exists such that .
Corollary 5.2 Let , a complete ε-chainable metric linear space, a sequence of fuzzy mappings from X into and a surjection such that for each and , , for some . If such that , implies
for all , where is a MT-function, then S and sequence have a coincidence point, i.e., there exists such that .
Proof Since and for all , the result follows immediately from Theorem 5.1. □
6 Fixed point theorems for L-fuzzy mappings
In this section some new fixed point results are deduced from the above mentioned coincidence results. If we take in Theorem 3.2 we get the following result.
Theorem 6.1 Let , a complete ε-chainable metric space and a sequence of mappings from X into such that for each and , , for some . If such that implies
for all , where is a MT-function, then the sequence has a common fixed point, i.e., there exists such that .
If we take in Theorem 5.1 we get the following result.
Corollary 6.2 Let , a complete ε-chainable metric space and a sequence of mappings from X into such that for each and , , for some . If such that , implies
for all , where is a MT-function, then the sequence has a common fixed point, i.e., there exists such that .
By considering in the above corollary we deduce the main result and hence all the corollaries of [18].
7 Applications to multivalued maps
Multivalued mapping is a left-total relation, arise in optimal control theory and game theory. In mathematics, multivalued mappings play an increasingly important role. For example fixed point results for multivalued mappings have been applied to prove existence of Nash equilibrium, the solutions of integral and differential inclusions etc. In this section, we will apply our main result to prove some coincidence results for multivalued mappings and then obtain some practical fixed point theorems in the existing literature.
Theorem 7.1 Let , a complete ε-chainable metric space, be a sequence of multivalued mappings from X into and a surjection such that , implies
, where is a MT-function, then S and the sequence have a coincidence point, i.e., there exists such that .
Proof Define a sequence of L-fuzzy mappings from X into as, for some , if and , otherwise. Then for all , so for all . Since
for all , we deduce that condition (1) of Theorem 3.2 is satisfied for . Hence there exists a point in X, such that . From this we conclude that . This completes the proof. □
Corollary 7.2 Let , a complete ε-chainable metric space, be a sequence of multivalued mappings from X into and a surjection such that , implies
, where , then S and the sequence have a coincidence point, i.e., there exists such that .
By taking in Theorem 7.1 we get the following.
Corollary 7.3 [25]
Let , be a complete ε-chainable metric space, and be a sequence of multivalued mappings from X into such that , implies
, where is a MT-function, then the sequence has a common fixed point, i.e., there exists such that .
Let be a complete metric space, J a multivalued mapping from X into , and a MT-function such that
for all . Then J has a fixed point in X.
Proof Taking with , in the above corollary we get the required result. □
Corollary 7.5 [26]
Let , a complete ε-chainable metric space and J be a multivalued mapping from X into such that , implies
, where . Then J has a fixed point.
By considering J to be a single valued mapping in the above corollary we deduce the following result.
Corollary 7.6 [17]
Let , a complete ε-chainable metric space and be a uniformly locally contractive single valued mapping. Then T has a fixed point.
8 Applications to integral and differential equations
The theory of differential inclusions was scientifically recognized by Aubin and Cellina [28]. They studied the existence and properties of solutions to differential inclusions of the form . Theorem 3.2 can deal with the existence of the solutions of differential inclusions of form . However, to identify it we have to explore some extra material concerned with a version of measurable selection theorem for continuous multivalued functions with nonempty convex closed (or compact) values on a Banach space, which may be problematic for a common reader. Therefore in this section, let us restrict our research area. We shall mainly consider the nonlinear differential equations of form . The main objective of this section is to study the existence and uniqueness of the solution of a general class of Volterra integral equations arising from differential equations of the form under various assumptions on the functions involved. Theorem 3.2 together with a function space , and a contractive inequality are used to establish the result. Consider the integral equation:
where is unknown, and is given, η is a parameter. If (the identity mapping on ℝ), then (3) is known as the Volterra integral equation.
Theorem 8.1 Let , be continuous mappings and a continuous surjection. If there exists such that for ,
then the integral equation
has a solution in .
Proof Let ; then X is a complete ε-chainable metric space for . Let be an arbitrary mapping. Define as . Assume that, for ,
Define the mappings and as follows:
Note that for all .
Take . Moreover, for some , we obtain, . Then, by the assumptions, for every there exists such that .
Moreover, we obtain
If for all , by assumptions, we have
It implies that
Hence, if for a MT-function , , all conditions of Theorem 3.2 are satisfied to find a continuous function such that . That is, and u will be a solution of the integral equation (4). □
Corollary 8.2 Let , are a continuous mapping and a continuous surjection. If there exists such that for ,
then the initial value problem
has a solution in .
Proof Considering the integral equation:
we get the required result by Theorem 8.1 for . □
9 An illustrative example
In this section we provide a simple but practical example to illustrate the theory developed in the above section. The problem under consideration is a solution of the nonlinear integral equation:
Note that, for , , ,
for all and all conditions of Theorem 8.1 are satisfied (for , ). Let . Define the mappings and as follows:
In the following we approximate the value of u, by constructing the iterative sequences:
Suppose
Note that
Let be defined as for all . Then
Thus, , where
Now,
where
and
Similarly,
and .
It follows that
Hence,
is a solution of integral equation (6).
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Rashid, M., Kutbi, M.A. & Azam, A. Coincidence theorems via alpha cuts of L-fuzzy sets with applications. Fixed Point Theory Appl 2014, 212 (2014). https://doi.org/10.1186/1687-1812-2014-212
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DOI: https://doi.org/10.1186/1687-1812-2014-212