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Coincidence theorems via alpha cuts of L-fuzzy sets with applications

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 D α L and d L 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.

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., [316] 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., [1822] 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 β F L -admissible pair of L-fuzzy mappings.

In this article we introduce the notions of D α L and d L 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 (X,d) be a metric space, denote:

CB(X)={A:A is nonempty closed and bounded subset of X},

C(X)={A:A is nonempty compact subset of X}.

For ϵ>0 and the sets A,BCB(X) define

d ( x , A ) = inf y A d ( x , y ) , d ( A , B ) = inf x A , y B d ( x , y ) , N ( ϵ , A ) = { x X : d ( x , a ) < ϵ , for some  a A } , E A , B = { ϵ > 0 : A N ( ϵ , B ) , B N ( ϵ , A ) } .

Then the Hausdorff metric H on CB(X) induced by d is defined as

H(A,B)=inf E A , B .

A fuzzy set in X is a function with domain X and values in [0,1]. If A is a fuzzy set and xX, then the function values A(x) is called the grade of membership of x in A. The α-level set of A is denoted by [ A ] α and is defined as follows:

[ A ] α = { x : A ( x ) α } if α(0,1].

A fuzzy set A in a metric linear space V is said to be an approximate quantity if and only if [ A ] α is compact and convex in V for each α[0,1] and sup x V A(x)=1. The collection of all approximate quantities in V is denoted by W(V).

For A,B I X , AB means A(x)B(x) for each xX. If there exists an α[0,1] such that [ A ] α , [ B ] α CB(X) then define

D α (A,B)=H ( [ A ] α , [ B ] α ) .

If [ A ] α , [ B ] α CB(X) for each α[0,1] then define

d (A,B)= sup α D α (A,B).

Lemma 2.1 [26]

Let (X,d) be a metric space and A,BCB(X), then for each aA

d(a,B)H(A,B).

Lemma 2.2 [26]

Let (X,d) be a metric space and A,BCB(X), then for each aA, ϵ>0, there exists an element bB such that

d(a,b)H(A,B)+ϵ.

Definition 2.3 [23]

A partially ordered set (L, L ) is called

  1. (i)

    a lattice, if abL, abL for any a,bL;

  2. (ii)

    a complete lattice, if AL, AL for any AL;

  3. (iii)

    distributive if a(bc)=(ab)(ac), a(bc)=(ab)(ac) for any a,b,cL.

Definition 2.4 [23]

Let L be a lattice with top element 1 L and bottom element 0 L and let a,bL. Then b is called a complement of a, if ab= 1 L , and ab= 0 L . If aL has a complement element, then it is unique. It is denoted by a ´ .

Definition 2.5 [23]

A L-fuzzy set A on a nonempty set X is a function A:XL, where L is complete distributive lattice with 1 L and 0 L .

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 L=[0,1].

From now, the class of L-fuzzy subsets of X will be denoted by F L (X). The α L -level set of L-fuzzy set A, is denoted by A α L , and is defined as follows:

A α L = { x : α L L A ( x ) } if  α L L { 0 L } , A 0 L = { x : 0 L L A ( x ) } . ¯

Here B ¯ 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 F L (Y) (class of L-fuzzy subsets of Y). A L-fuzzy mapping T is a L-fuzzy subset on X×Y with membership function T(x)(y). The function T(x)(y) is the grade of membership of y in T(x).

Definition 2.8 [24]

Let (X,d) be a metric space and S, T be L-fuzzy mappings from X into F L (X). A point zX is called a L-fuzzy fixed point of T if z [ T z ] α L , for some α L L{ 0 L }. The point zX is called a common L-fuzzy fixed point of S and T if z [ S z ] α L [ T z ] α L . When α L = 1 L , it is called a common fixed point of L-fuzzy mappings.

Definition 2.9 Let ε(0,], and λ(0,1). A metric space (X,d) is said to be ε-chainable if given u,vX, there exists an ε-chain from u to v (i.e., a finite set of points u= u 0 , u 1 , u 2 ,, u l =v such that d( u t 1 , u t )<ε for all t=1,2,,l).

Definition 2.10 [8]

A function φ:[0,+)[0,1) is said to be a MT-function if it satisfies the following condition:

lim sup r t + ϕ(r)<1for all t[0,+).

Clearly, if φ:[0,+)[0,1) 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 φ:[0,+)[0,1) be a function. Then the following statements are equivalent.

  1. (i)

    φ is a MT-function.

  2. (ii)

    For each t[0,), there exist r t ( 1 ) [0,1) and ε t ( 1 ) >0 such that φ(s) r t ( 1 ) for all s(t,t+ ε t ( 1 ) ).

  3. (iii)

    For each t[0,), there exist r t ( 2 ) [0,1) and ε t ( 2 ) >0 such that φ(s) r t ( 2 ) for all s[t,t+ ε t ( 2 ) ].

  4. (iv)

    For each t[0,), there exist r t ( 3 ) [0,1) and ε t ( 3 ) >0 such that φ(s) r t ( 3 ) for all s(t,t+ ε t ( 3 ) ].

  5. (v)

    For each t[0,), there exist r t ( 4 ) [0,1) and ε t ( 4 ) >0 such that φ(s) r t ( 4 ) for all s[t,t+ ε t ( 4 ) ).

  6. (vi)

    For any nonincreasing sequence { x n } n N in [0,), we have 0 sup n N φ( x n )<1.

  7. (vii)

    φ is a function of contractive factor [27], that is, for any strictly decreasing sequence { x n } n N in [0,), we have 0 sup n N φ( x n )<1.

3 Coincidence theorems for L-fuzzy mappings

In this section the notion of D α L distance is used to study coincidence theorems concerning L-fuzzy mappings. For a metric space (X,d), we define

D α L (A,B)=H( A α L , B α L )

and

d L (A,B)= sup α L L { 0 L } D α L (A,B),

whenever A,B F L (X) and A α L , B α L CB(X) for each α L L{ 0 L }.

Definition 3.1 A mapping T:XX is called an (ε,λ) uniformly locally contractive mapping if u,vX and 0<d(u,v)<ε implies d(Tu,Tv)λd(u,v). A mapping T:X F L (X) is called an (ε,λ) uniformly locally contractive L-fuzzy mapping if u,vX and 0<d(u,v)<ε, then d L (T(u),T(v))λd(u,v).

Theorem 3.2 Let ε(0,], (X,d) be a complete ε-chainable metric space, { T q } q = 1 a sequence of mappings from X into F L (X), and S:XX a surjection such that for each uX and qN, [ T q ( u ) ] α L CB(X), for some α L L{ 0 L }. If u,vX such that 0<d(Su,Sv)<ε implies

D α L ( T q ( u ) , T r ( v ) ) μ ( d ( S u , S v ) ) d(Su,Sv),
(1)

for all q,rN, where μ:[0,ε)[0,1) is a MT-function, then S and the sequence { T q } q = 1 have a coincidence point, i.e., there exists v X such that S v q N [ T q ( v ) ] α L .

Proof Let v 0 be an arbitrary, but fixed element of X. Find v 1 X such that S v 1 [ T 1 ( v 0 ) ] α L . Let

S v 0 =S u ( 1 , 0 ) ,S u ( 1 , 1 ) ,S u ( 1 , 2 ) ,,S u ( 1 , l ) =S v 1 [ T 1 ( v 0 ) ] α L

be an arbitrary ε-chain from S v 0 to S v 1 . (Without any loss of generality, we assume that S u ( 1 , q ) S u ( 1 , r ) for each q,r{0,1,2,,l} with qr.)

Since 0<d(S u ( 1 , 0 ) ,S u ( 1 , 1 ) )<ε, we get

D α L ( T 1 ( u ( 1 , 0 ) ) , T 2 ( u ( 1 , 1 ) ) ) μ ( d ( S u ( 1 , 0 ) , S u ( 1 , 1 ) ) ) d ( S u ( 1 , 0 ) , S u ( 1 , 1 ) ) < μ ( d ( S u ( 1 , 0 ) , S u ( 1 , 1 ) ) ) d ( S u ( 1 , 0 ) , S u ( 1 , 1 ) ) < d ( S u ( 1 , 0 ) , S u ( 1 , 1 ) ) < ε .

Rename S v 1 as S u ( 2 , 0 ) . Since S u ( 2 , 0 ) [ T 1 ( u ( 1 , 0 ) ) ] α L , using Lemma 2.1 we find S u ( 2 , 1 ) [ T 2 ( u ( 1 , 1 ) ) ] α L such that

d ( S u ( 2 , 0 ) , S u ( 2 , 1 ) ) < μ ( d ( S u ( 1 , 0 ) , S u ( 1 , 1 ) ) ) d ( S u ( 1 , 0 ) , S u ( 1 , 1 ) ) < d ( S u ( 1 , 0 ) , S u ( 1 , 1 ) ) < ε .

Since 0<d(S u ( 1 , 1 ) ,S u ( 1 , 2 ) )<ε, we deduce that

D α L ( T 2 ( u ( 1 , 1 ) ) , T 2 ( u ( 1 , 2 ) ) ) μ ( d ( S u ( 1 , 1 ) , S u ( 1 , 2 ) ) ) d ( S u ( 1 , 1 ) , S u ( 1 , 2 ) ) < μ ( d ( S u ( 1 , 1 ) , S u ( 1 , 2 ) ) ) d ( S u ( 1 , 1 ) , S u ( 1 , 2 ) ) < d ( S u ( 1 , 1 ) , S u ( 1 , 2 ) ) < ε .

Similarly to S u ( 2 , 1 ) [ T 2 ( u ( 1 , 1 ) ) ] α L , again using Lemma 2.1 we find S u ( 2 , 2 ) [ T 2 ( u ( 1 , 2 ) ) ] α L such that

d ( S u ( 2 , 1 ) , S u ( 2 , 2 ) ) < μ ( d ( S u ( 1 , 1 ) , S u ( 1 , 2 ) ) ) d ( S u ( 1 , 1 ) , S u ( 1 , 2 ) ) < d ( S u ( 1 , 1 ) , S u ( 1 , 2 ) ) < ε .

Thus we obtain a set {S u ( 2 , 0 ) ,S u ( 2 , 1 ) ,S u ( 2 , 2 ) ,,S u ( 2 , l ) } of l+1 points of X such that S u ( 2 , 0 ) [ T 1 ( u ( 1 , 0 ) ) ] α L and S u ( 2 , t ) [ T 2 ( u ( 1 , t ) ) ] α L for t=1,2,,l, with

d ( S u ( 2 , t ) , S u ( 2 , t + 1 ) ) < μ ( d ( S u ( 1 , t ) , S u ( 1 , t + 1 ) ) ) d ( S u ( 1 , t ) , S u ( 1 , t + 1 ) ) < d ( S u ( 1 , t ) , S u ( 1 , t + 1 ) ) < ε ,

for t=0,1,2,,l1.

Let S u ( 2 , l ) = v 2 . Thus the set of points S v 1 =S u ( 2 , 0 ) ,S u ( 2 , 1 ) ,S u ( 2 , 2 ) ,,S u ( 2 , l ) =S v 2 [ T 2 ( v 1 ) ] α L is an ε-chain from S v 1 to S v 2 . Rename S v 2 as S u ( 3 , 0 ) . Then by the same procedure we obtain an ε-chain

S v 2 =S u ( 3 , 0 ) ,S u ( 3 , 1 ) ,S u ( 3 , 2 ) ,,S u ( 3 , l ) =S v 3 [ T 3 ( v 2 ) ] α L

from S v 2 to S v 3 . Inductively, we obtain

S v h =S u ( h + 1 , 0 ) ,S u ( h + 1 , 1 ) ,S u ( h + 1 , 2 ) ,,S u ( h + 1 , l ) =S v h + 1 [ T h + 1 ( v h ) ] α L

with

d ( S u ( h + 1 , t ) , S u ( h + 1 , t + 1 ) ) < μ ( d ( S u ( h , t ) , S u ( h , t + 1 ) ) ) d ( S u ( h , t ) , S u ( h , t + 1 ) ) < d ( S u ( h , t ) , S u ( h , t + 1 ) ) < ε ,
(2)

for t=0,1,2,,l1.

Consequently, we construct a sequence { S v h } h = 1 of points of X with

S v 1 = S u ( 1 , l ) = S u ( 2 , 0 ) [ T 1 ( v 0 ) ] α L , S v 2 = S u ( 2 , l ) = S u ( 3 , 0 ) [ T 2 ( v 1 ) ] α L , S v 3 = S u ( 3 , l ) = S u ( 4 , 0 ) [ T 3 ( v 2 ) ] α L , S v h + 1 = S u ( h + 1 , l ) = S u ( h + 2 , 0 ) [ T h + 1 ( v h ) ] α L ,

for all hN.

For each t{0,1,2,,l1}, we deduce from (2) that { d ( S u ( h , t ) , S u ( h , t + 1 ) ) } h = 1 is a decreasing sequence of non-negative real numbers and therefore there exists l t 0 such that

lim h d(S u ( h , t ) ,S u ( h , t + 1 ) )= l t .

By assumption, lim sup t l t + μ(t)<1, so there exists h t N such that μ(d(S u ( h , t ) ,S u ( h , t + 1 ) ))<ω( l t ) (a non-negative real number) for all h h t where lim sup t l t + μ(t)<ω( l t )<1.

Let

Θ t =max { max q = 1 , , h t μ ( d ( S u ( q , t ) , S u ( q , t + 1 ) ) ) , ω ( l t ) } .

Then, for every h> h t , we obtain

d ( S u ( h , t ) , S u ( h , t + 1 ) ) < μ ( d ( S u ( h 1 , t ) , S u ( h 1 , t + 1 ) ) ) d ( S u ( h 1 , t ) , S u ( h 1 , t + 1 ) ) < ω ( l t ) d ( S u ( h 1 , t ) , S u ( h 1 , t + 1 ) ) Θ t d ( S u ( h 1 , t ) , S u ( h 1 , t + 1 ) ) ( Θ t ) 2 d ( S u ( h 2 , t ) , S u ( h 2 , t + 1 ) ) ( Θ t ) h 1 d ( S u ( 1 , t ) , S u ( 1 , t + 1 ) ) .

Putting N=max{ h t :t=0,1,2,,l1}, we have

d ( S v h 1 , S v h ) = d ( S u ( h , 0 ) , S u ( h , l ) ) t = 0 l 1 d ( S u ( h , t ) , S u ( h , t + 1 ) ) < t = 0 l 1 ( Θ t ) h 1 d ( S u ( 1 , t ) , S u ( 1 , t + 1 ) ) ,

for all h>N+1. Hence

d ( S v h , S v p ) d ( S v h , S v h + 1 ) + d ( S v h + 1 , S v h + 2 ) + + d ( S v p 1 , S v p ) < t = 0 l 1 ( Θ t ) h d ( S u ( 1 , t ) , S u ( 1 , t + 1 ) ) + + t = 0 l 1 ( Θ t ) p 1 d ( S u ( 1 , t ) , S u ( 1 , t + 1 ) ) ,

whenever p>h>N+1.

Since Θ t <1 for all t{0,1,2,,l1}, it follows that {S v h =S u ( h , l ) } is a Cauchy sequence. Since (X,d) is complete, there is v X such that S v h S v . Hence there exists an integer M>0 such that h>M implies d(S v h ,S v )<ε. This from the point of view of inequality (1) implies D α L ( T h + 1 ( v h ), T q ( v ))<ε for all qN.

Now consider for all qN,

d ( S v , [ T q ( v ) ] α L ) d ( S v , S v h + 1 ) + d ( S v h + 1 , [ T q ( v ) ] α L ) d ( S v , S v h + 1 ) + H ( [ T h + 1 ( v h ) ] α L , [ T q ( v ) ] α L ) d ( S v , S v h + 1 ) + D α L ( T h + 1 ( v h ) , T q ( v ) ) d ( S v , S v h + 1 ) + μ ( d ( S v h , S v ) ) d ( S v h , S v ) .

Letting h in the above inequality, we get d(S v , [ T q ( v ) ] α L )0, which implies S v [ T q ( v ) ] α L for all qN. Hence, S v q N [ T q ( v ) ] α L . □

Corollary 3.3 Let ε(0,], (X,d) a complete ε-chainable metric space, { T q } q = 1 a sequence of mappings from X into F L (X) and S:XX a surjection such that for each uX and qN, [ T q ( u ) ] α L CB(X), for some α L L{ 0 L }. If u,vX such that 0<d(Su,Sv)<ε, implies

D α L ( T q ( u ) , T r ( v ) ) ρd(Su,Sv),

for all q,rN, where ρ(0,1), then S and sequence { T q } q = 1 have a coincidence point, i.e., there exists v X such that S v q N [ T q ( v ) ] α L .

Proof Apply Theorem 3.2 where μ is the MT-function defined as μ(t)=ρ for all t[0,ε). □

In the following we furnish an example to support Theorem 3.2.

Example 3.4 Let ε(0,], X=[0,1], and d(u,v)=|uv|, whenever u,vX, then (X,d) is a complete ε-chainable metric space. Let L={ζ,η,ξ,ς} with ζ L η L ς, ζ L ξ L ς, η and ξ are not comparable, then (L, L ) is a complete distributive lattice. Suppose { T q } q = 1 to be a sequence of mappings defined from X into F L (X) as

T q (u)(t)= { ζ if  0 t u 3 19 β q , η if  u 3 19 β q < t u 3 11 β q , ς if  u 3 11 β q < t u 3 8 β q , ξ if  u 3 8 β q < t 1 , qN,β>1 a real number,

and S:XX be a surjective self mapping defined as Sx= x 3 , for all xX. Now for x,yX{0}, suppose ε= 1 | x y | (0,],

0<d(Sx,Sy)=| x 3 y 3 |=|xy|| x 2 +xy+ y 2 |<|xy|<ε.

Assume α L =η then [ T q ( u ) ] η =[0, u 3 11 β q ]. For q,rN with qr, u,vX, and μ(t)= 1 β for all t(0,ε] consider

D α L ( T q ( u ) , T r ( v ) ) = H ( [ T q ( u ) ] α L , [ T r ( v ) ] α L ) = H ( [ 0 , u 3 11 β q ] , [ 0 , v 3 11 β r ] ) = 1 11 β | u 3 q v 3 r | 1 11 β q | u 3 v 3 | 1 β | u 3 v 3 | = μ ( d ( S u , S v ) ) d ( S u , S v ) .

Since all the conditions of Theorems 3.2 are satisfied, there exist a coincidence point of S and the sequence { T q } q = 1 , i.e.

S0=0 q N [ T q ( 0 ) ] α L ,

for some α L L{ 0 L }.

4 Coincidence theorems for L-fuzzy mappings via d L -distance

This section deals with the study of coincidence theorems in connection with the notion of d L -distance. The results proved in this section are also new.

Theorem 4.1 Let ε(0,], (X,d) a complete ε-chainable metric space, { T q } q = 1 a sequence of L-fuzzy mappings from X into F L (X) and S:XX a surjection such that for each uX and qN, [ T q ( u ) ] α L CB(X), for some α L L{ 0 L }. If u,vX such that 0<d(Su,Sv)<ε implies

d L ( T q ( u ) , T r ( v ) ) μ ( d ( S u , S v ) ) d(Su,Sv),

for all q,rN, where μ:[0,ε)[0,1) is a MT-function, then S and sequence { T q } q = 1 have a coincidence point, i.e., there exists v X such that S v q N [ T q ( v ) ] α L .

Proof Since D α L ( T q (u), T r (v)) d L ( T q (u), T r (v)) for all q,rN, the result follows immediately from Theorem 3.2. □

By taking S=I and in Theorem 4.1 we obtain the following result.

Corollary 4.2 Let ε(0,], (X,d) a complete ε-chainable metric space and { T q } q = 1 a sequence of L-fuzzy mappings from X into F L (X) such that for each uX and qN, [ T q ( u ) ] α L CB(X), for some α L L{ 0 L }. If u,vX such that 0<d(u,v)<ε, implies

d L ( T q ( u ) , T r ( v ) ) μ ( d ( u , v ) ) d(u,v),

for all q,rN, where μ:[0,ε)[0,1) is a MT-function, then the sequence { T q } q = 1 has a common fixed point, i.e., there exists v X such that v q N [ T q ( v ) ] α .

5 Coincidence theorems for fuzzy mappings

In the present section, by considering L=[0,1] in Theorem 3.2, some further new results for fuzzy mappings are obtained.

Theorem 5.1 Let ε(0,], (X,d) a complete ε-chainable metric space, { T q } q = 1 a sequence of fuzzy mappings from X into I X and S:XX a surjection such that for each uX and qN, [ T q ( u ) ] α CB(X), for some α(0,1]. If u,vX such that 0<d(Su,Sv)<ε, implies

D α ( T q ( u ) , T r ( v ) ) μ ( d ( S u , S v ) ) d(Su,Sv),

for all q,rN, where μ:[0,ε)[0,1) is a MT-function, then S and sequence { T q } q = 1 have a coincidence point, i.e., there exists v X such that S v q N [ T q ( v ) ] α .

Corollary 5.2 Let ε(0,], (X,d) a complete ε-chainable metric linear space, { T q } q = 1 a sequence of fuzzy mappings from X into W(X) and S:XX a surjection such that for each uX and qN, [ T q ( u ) ] α CB(X), for some α(0,1]. If u,vX such that 0<d(Su,Sv)<ε, implies

d ( T q ( u ) , T r ( v ) ) μ ( d ( S u , S v ) ) d(Su,Sv),

for all q,rN, where μ:[0,ε)[0,1) is a MT-function, then S and sequence { T q } q = 1 have a coincidence point, i.e., there exists v X such that S v q N [ T q ( v ) ] α .

Proof Since W(X)CB(X) and D α ( T q (u), T r (v)) d ( T q (u), T r (v)) for all q,rN, 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 S=I in Theorem 3.2 we get the following result.

Theorem 6.1 Let ε(0,], (X,d) a complete ε-chainable metric space and { T q } q = 1 a sequence of mappings from X into F L (X) such that for each uX and qN, [ T q ( u ) ] α L CB(X), for some α L L{ 0 L }. If u,vX such that 0<d(u,v)<ε implies

D α L ( T q ( u ) , T r ( v ) ) μ ( d ( u , v ) ) d(u,v),

for all q,rN, where μ:[0,ε)[0,1) is a MT-function, then the sequence { T q } q = 1 has a common fixed point, i.e., there exists v X such that v q N [ T q ( v ) ] α L .

If we take S=I in Theorem 5.1 we get the following result.

Corollary 6.2 Let ε(0,], (X,d) a complete ε-chainable metric space and { T q } q = 1 a sequence of mappings from X into I X such that for each uX and qN, [ T q ( u ) ] α CB(X), for some α(0,1]. If u,vX such that 0<d(u,v)<ε, implies

D α ( T q ( u ) , T r ( v ) ) μ ( d ( u , v ) ) d(u,v)

for all q,rN, where μ:[0,ε)[0,1) is a MT-function, then the sequence { T q } q = 1 has a common fixed point, i.e., there exists v X such that v q N [ T q ( v ) ] α .

By considering α=1 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 ε(0,), (X,d) a complete ε-chainable metric space, { J q } q = 1 be a sequence of multivalued mappings from X into CB(X) and S:XX a surjection such that 0<d(Su,Sv)<ε, implies

H ( J q ( u ) , J r ( v ) ) μ ( d ( S u , S v ) ) d(Su,Sv),

u,vX, where μ:[0,ε)[0,1) is a MT-function, then S and the sequence { J q } q = 1 have a coincidence point, i.e., there exists v X such that S v q N { J q ( v )}.

Proof Define a sequence of L-fuzzy mappings { T q } q = 1 from X into F L (X) as, for some α L L{ 0 L }, T q (v)(t)= α L if t J q (v) and T q (v)(t)= 0 L , otherwise. Then [ T q ( v ) ] α L = J q (v) for all vX, so [ T q ( v ) ] α L CB(X) for all vX. Since

D α L ( T q ( u ) , T r ( v ) ) =H ( [ T q ( u ) ] α L , [ T r ( v ) ] α L ) =H ( J q ( u ) , J r ( v ) ) ,

for all u,vX, we deduce that condition (1) of Theorem 3.2 is satisfied for { T q } q = 1 . Hence there exists a point v in X, such that S v q N [ T q ( v ) ] α L . From this we conclude that S v q N { J q ( v )}. This completes the proof. □

Corollary 7.2 Let ε(0,), (X,d) a complete ε-chainable metric space, { J q } q = 1 be a sequence of multivalued mappings from X into CB(X) and S:XX a surjection such that 0<d(Su,Sv)<ε, implies

H ( J q ( u ) , J r ( v ) ) ρd(Su,Sv),

u,vX, where ρ(0,1), then S and the sequence { J q } q = 1 have a coincidence point, i.e., there exists v X such that S v q N { J q ( v )}.

By taking S=I in Theorem 7.1 we get the following.

Corollary 7.3 [25]

Let ε(0,], (X,d) be a complete ε-chainable metric space, and { J q } q = 1 be a sequence of multivalued mappings from X into CB(X) such that 0<d(u,v)<ε, implies

H ( J q ( u ) , J r ( v ) ) μ ( d ( u , v ) ) d(u,v),

u,vX, where μ:[0,ε)[0,1) is a MT-function, then the sequence { J q } q = 1 has a common fixed point, i.e., there exists v X such that v q N { J q ( v )}.

Corollary 7.4 [9, 11, 13]

Let (X,d) be a complete metric space, J a multivalued mapping from X into CB(X), and μ:[0,)[0,1) a MT-function such that

H(Ju,Jv)μ ( d ( u , v ) ) d(u,v),

for all u,vX. Then J has a fixed point in X.

Proof Taking q=r=1 with ε=, in the above corollary we get the required result. □

Corollary 7.5 [26]

Let ε(0,], (X,d) a complete ε-chainable metric space and J be a multivalued mapping from X into CB(X) such that 0<d(u,v)<ε, implies

H ( J ( u ) , J ( v ) ) ρd(u,v),

u,vX, where ρ(0,1). 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 ε(0,], (X,d) a complete ε-chainable metric space and T:XX be a (ε,λ) 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 d d t x(t)L(t,x(t)). Theorem 3.2 can deal with the existence of the solutions of differential inclusions of form d d t f(x(t))K(t,x(t)). 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 d d t f(x(t))=K(t,x(t)). 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 d d t f(x(t))=K(t,x(t)) under various assumptions on the functions involved. Theorem 3.2 together with a function space (C[a,b],R), and a contractive inequality are used to establish the result. Consider the integral equation:

h ( x ( t ) ) η a t L ( s , x ( s ) ) ds=g(t),
(3)

where x:[a,b]R is unknown, and h:RR is given, η is a parameter. If h=I (the identity mapping on ), then (3) is known as the Volterra integral equation.

Theorem 8.1 Let L 0 :[a,b]R, L:[a,b]×RR be continuous mappings and h:RR a continuous surjection. If there exists K< 1 b a such that for r,sR,

|hrhs|<ε|L(t,r)L(t,s)|K|hrhs|,t[a,b],

then the integral equation

h ( x ( t ) ) = L 0 (t)+ a t [ L ( s , x ( s ) ) ] ds,t[a,b]
(4)

has a solution in (C[a,b],R).

Proof Let X=(C[a,b],R); then X is a complete ε-chainable metric space for ε(0,). Let φ L :XL{ 0 L } be an arbitrary mapping. Define d:X×XR as d(x,y)= max t [ a , b ] |x(t)y(t)|. Assume that, for xX,

τ x (t)= L 0 (t)+ a t [ L ( s , x ( s ) ) ] ds,for all t[a,b].

Define the mappings T:X F L (X) and S:XX as follows:

T ( x ) ( f ) = { φ L ( x ) if  f ( t ) = τ x ( t )  for all  t [ a , b ] , 0 L otherwise , S ( x ) ( t ) = h ( x ( t ) ) for all  t [ a , b ] .

Note that |hx(t)hy(t)|<ε for all t[a,b]d(Sx,Sy)<ε.

Take α L = φ L (x). Moreover, for some f [ T x ] α L , we obtain, T(x)(f)= φ L (x). Then, by the assumptions, for every fX there exists yX such that f=Sy=hy.

Moreover, we obtain

D α L (Tx,Ty)= max t [ a , b ] | τ x (t) τ y (t)|.

If |hx(t)hy(t)|<ε for all t[a,b], by assumptions, we have

| τ x ( t ) τ y ( t ) | = | a t [ L ( s , x ( s ) ) ] d s a t [ L ( s , y ( s ) ) ] d s | a t | L ( s , x ( s ) ) L ( s , y ( s ) ) | d s a t K | h ( x ( s ) ) h ( y ( s ) ) | d s K ( sup t [ a , b ] | ( h x ) ( t ) ( h y ) ( t ) | ) | a t d s | K ( b a ) d ( h x , h y ) K ( b a ) d ( S x , S y ) .

It implies that

D α L (Tx,Ty)K(ba)d(Sx,Sy).

Hence, if for a MT-function μ:[0,ε)[0,1), μ(d(Sx,Sy))=K(ba), all conditions of Theorem 3.2 are satisfied to find a continuous function u:[a,b]R such that Su [ T ( u ) ] α L . That is, hu= τ u and u will be a solution of the integral equation (4). □

Corollary 8.2 Let K 0 R, L:[a,b]×RR are a continuous mapping and h:RR a continuous surjection. If there exists K< 1 b a such that for r,sR,

|hrhs|<ε|L(t,r)L(t,s)|K|hrhs|,t[ t 0 , t 0 +δ],

then the initial value problem

d d t h ( x ( t ) ) =L ( s , x ( t ) ) ,h ( x ( t 0 ) ) = K 0 ,t[ t 0 , t 0 +δ]
(5)

has a solution in (C[a,b],R).

Proof Considering the integral equation:

h ( x ( t ) ) = K 0 + t 0 t [ L ( s , x ( s ) ) ] ds,t[ t 0 , t 0 +δ],

we get the required result by Theorem 8.1 for L 0 (t)= K 0 . □

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:

x 7 (t)tant= 0 t [ x 7 ( s ) + 17 s + 5 ] sds,t[0,c],c<1.
(6)

Note that, for L(t,s)=[ x 7 (s)+17s+5]s, L 0 (t)=tant, hs= s 7 ,

|L(t,r)L(t,s)|c|hrhs|

for all t[0,c] and all conditions of Theorem 8.1 are satisfied (for K=c, a=0). Let X=(C[0,c],R). Define the mappings T:X F L (X) and S:XX as follows:

T ( x ) ( f ) = { φ L ( x ) if  f ( t ) = τ x ( t )  for all  t [ 0 , c ] , 0 L otherwise , S x = x 7 .

In the following we approximate the value of u, by constructing the iterative sequences:

x n + 1 ( C [ 0 , c ] , R ) ,S x n + 1 [ T x n ] α L for some  α L L{ 0 L }.

Suppose

τ x (t)=tant+ 0 t [ x 7 ( s ) + 17 s + 5 ] sds,for all t[0,c].

Note that

[ T x ] φ L ( x ) = { f X : T ( x ) ( f ) = φ L ( x ) } ={ τ x }.

Let x 0 :[0,c]R be defined as x 0 (t)=0 for all t[0,c]. Then

[ T x 0 ] φ L ( x ) ={ τ x 0 }.

Thus, S x 1 = τ x 0 , where

τ x 0 ( t ) = tan t + 0 t [ 17 s + 5 ] s d s = tan t + 17 t 3 3 + 5 t 2 2 and x 1 ( t ) = tan t + 17 t 3 3 + 5 t 2 2 7 .

Now,

S x 2 = τ x 1 [ T x 1 ] φ L ( x ) ,

where

τ x 1 ( t ) = tan t + 0 t ( ( tan t + 17 s 3 3 + 5 s 2 2 ) + 17 s + 5 ) s d s = tan t + 17 t 3 3 + 5 t 2 2 + ( 17 t 5 3.5 + 5 t 4 2.4 + ( tan t ) t 2 2 )

and

x 2 (t)= tan t + 17 t 3 3 + 5 t 2 2 + ( 17 t 5 3.5 + 5 t 4 2.4 + ( tan t ) t 2 2 ) 7 .

Similarly,

S x 3 = τ x 2 ( t ) = tan t + 0 t ( ( tan t + 17 t 3 3 + 5 t 2 2 + 1 27 ( 17 t 5 3.5 + 5 t 4 2.4 + ( tan t ) t 2 2 ) ) + 17 s + 5 ) s d s = tan t + 17 t 3 3 + 5 t 2 2 + ( 17 t 5 3.5 + 5 t 4 2.4 + ( tan t ) t 2 2 ) + ( 17 t 7 3.5 . 7 + 5 t 6 2.4 . 6 + ( tan t ) t 4 2.4 )

and x 3 (t)= ( tan t + 17 t 3 3 + 5 t 2 2 + ( 17 t 5 3.5 + 5 t 4 2.4 + ( tan t ) t 2 2 ) + ( 17 t 7 3.5 . 7 + 5 t 6 2.4 . 6 + ( tan t ) t 4 2.4 ) ) 1 7 .

It follows that

lim n S x n = tan t + tan t n = 1 ( t 2 n ( 2 n ) ( 2 n 2 ) 2 ) + n = 1 ( 17 t 2 n + 1 ( 2 n + 1 ) ( 2 n 1 ) 3 + 5 t 2 n ( 2 n ) ( 2 n 2 ) 2 ) [ T u ] φ L ( x ) .

Hence,

u ( t ) = ( tan t + tan t n = 1 ( t 2 n ( 2 n ) ( 2 n 2 ) 2 ) + n = 1 ( 17 t 2 n + 1 ( 2 n + 1 ) ( 2 n 1 ) 3 + 5 t 2 n ( 2 n ) ( 2 n 2 ) 2 ) ) 1 7 = tan t + ( 5 + tan t ) t 2 e t 2 2 t + π 2 e t 2 2 erf ( t 2 )

is a solution of integral equation (6).

References

  1. Zadeh LA: Fuzzy sets. Inf. Control 1965, 8: 338–353. 10.1016/S0019-9958(65)90241-X

    Article  MathSciNet  Google Scholar 

  2. Heilpern S: Fuzzy mappings and fixed point theorems. J. Math. Anal. Appl. 1981, 83: 566–569. 10.1016/0022-247X(81)90141-4

    Article  MathSciNet  Google Scholar 

  3. Azam A, Beg I: Common fixed points of fuzzy maps. Math. Comput. Model. 2009, 49: 1331–1336. 10.1016/j.mcm.2008.11.011

    Article  MathSciNet  Google Scholar 

  4. Azam A, Arshad M, Beg I: Fixed points of fuzzy contractive and fuzzy locally contractive maps. Chaos Solitons Fractals 2009, 42: 2836–2841. 10.1016/j.chaos.2009.04.026

    Article  MathSciNet  Google Scholar 

  5. Azam A, Arshad M, Vetro P: On a pair of fuzzy ϕ -contractive mappings. Math. Comput. Model. 2010, 52: 207–214. 10.1016/j.mcm.2010.02.010

    Article  MathSciNet  Google Scholar 

  6. Azam A, Arshad M: A note on ‘Fixed point theorems for fuzzy mappings’ by P Vijayaraju and M Marudai. Fuzzy Sets Syst. 2010, 161: 1145–1149. 10.1016/j.fss.2009.10.016

    Article  MathSciNet  Google Scholar 

  7. Azam A, Waseem M, Rashid M: Fixed point theorems for fuzzy contractive mappings in quasi-pseudo-metric spaces. Fixed Point Theory Appl. 2013., 2013: Article ID 27 10.1186/1687-1812-2013-27

    Google Scholar 

  8. Du WS: On coincidence point and fixed point theorems for nonlinear multivalued maps. Topol. Appl. 2012, 159: 49–56. 10.1016/j.topol.2011.07.021

    Article  Google Scholar 

  9. Hu T: Fixed point theorems for multivalued mappings. Can. Math. Bull. 1980, 23: 193–197. 10.4153/CMB-1980-026-2

    Article  Google Scholar 

  10. Kamran T: Common fixed points theorems for fuzzy mappings. Chaos Solitons Fractals 2008, 38: 1378–1382. 10.1016/j.chaos.2008.04.031

    Article  MathSciNet  Google Scholar 

  11. Mizoguchi N, Takahashi W: Fixed point theorems for multi-valued mappings on complete metric spaces. J. Math. Anal. Appl. 1989, 188: 141–177.

    MathSciNet  Google Scholar 

  12. Paul S, Tripathy BC, Das NR: A fixed point theorem in a generalized fuzzy metric space. Bol. Soc. Parana. Mat. 2013, 32(2):221–227.

    Article  MathSciNet  Google Scholar 

  13. Suzuki T: Mizoguchi-Takahashi’s fixed point theorem is a real generalization of Nadler’s. J. Math. Anal. Appl. 2008, 340: 752–755. 10.1016/j.jmaa.2007.08.022

    Article  MathSciNet  Google Scholar 

  14. Tripathy BC, Baruah A, Et M, Gungor M: On almost statistical convergence of new type of generalized difference sequence of fuzzy numbers. Iran. J. Sci. Technol., Trans. A, Sci. 2012, 36(2):147–155.

    MathSciNet  Google Scholar 

  15. Tripathy BC, Ray GC: On mixed fuzzy topological spaces and countability. Soft Comput. 2012, 16: 1691–1695. 10.1007/s00500-012-0853-1

    Article  Google Scholar 

  16. Tripathy BC, Paul S, Das NR: Banach’s and Kannan’s fixed point results in fuzzy 2-metric spaces. Proyecciones 2013, 32(4):363–379.

    Google Scholar 

  17. Edelstein M: An extension of Banach’s contraction principle. Proc. Am. Math. Soc. 1961, 12: 7–12.

    MathSciNet  Google Scholar 

  18. Ahmad J, Azam A, Romaguera S: On locally contractive fuzzy set-valued mappings. J. Inequal. Appl. 2014., 2014: Article ID 74

    Google Scholar 

  19. Arshad M, Azam A: Fixed points solutions of sequence of locally contractive fuzzy mappings via iterative process. International Conference of Mathematical Sciences 2012. (ICM 2012), 11–14 March, Al Ain, UAE

    Google Scholar 

  20. Hu T, Rosen H: Locally contractive and expansive mappings. Proc. Am. Math. Soc. 1982, 86: 656–662.

    MathSciNet  Google Scholar 

  21. Ko HM, Tasi YH: Fixed point theorems for localized property. Tamkang J. Math. 1977, 8: 81–85.

    MathSciNet  Google Scholar 

  22. Kuhfitting PK: Fixed point of locally contractive and nonexpansive set valued mappings. Pac. J. Math. 1976, 65: 399–403. 10.2140/pjm.1976.65.399

    Article  Google Scholar 

  23. Goguen JA: L -Fuzzy sets. J. Math. Anal. Appl. 1967, 18: 145–174. 10.1016/0022-247X(67)90189-8

    Article  MathSciNet  Google Scholar 

  24. Rashid M, Azam A, Mehmood N: L -Fuzzy fixed points theorems for L -fuzzy mappings via β F L -admissible pair. Sci. World J. 2014. 10.1155/2014/853032

    Google Scholar 

  25. Beg I, Azam A: Fixed points of multivalued locally contractive mappings. Boll. Unione Mat. Ital., A (7) 1990, 4: 227–233.

    MathSciNet  Google Scholar 

  26. Nadler SB: Multivalued contraction mappings. Pac. J. Math. 1969, 30: 475–488. 10.2140/pjm.1969.30.475

    Article  MathSciNet  Google Scholar 

  27. Du WS: Coupled fixed point theorems for nonlinear contractions satisfied Mizoguchi-Takahashi’s condition in quasi-ordered metric spaces. Fixed Point Theory Appl. 2010., 2010: Article ID 876372 10.1155/2010/876372

    Google Scholar 

  28. Aubin JP, Cellina A: Differential Inclusions. Springer, Berlin; 1984.

    Book  Google Scholar 

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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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Keywords

  • coincidence point
  • fixed point
  • multivalued mapping
  • L-fuzzy mapping
  • fuzzy mapping
  • integral equation