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Best Proximity Point Theorems for Rational Contraction of Multi-Valued Mappings

Ajay Kumar Sharma Department of Mathematics,

Seth Phoolchand Agrawal Smriti College, Navapara Rajim, Dist. Raipur, Chhattisgarh, INDIA.

email: [email protected].

(Received on: April 11, 2016) ABSTRACT

In this article, the concept of Dass and Gupta2 contraction is extend to multi- valued maps with MT-functions in the frameworks of complete metric spaces and we prove the existence of best proximity point for such mappings. Our results unify, generalize and complement the comparable results from the current literature. An example is given to support the usability of the result.

2000 Mathematics Subject Classification: 41A65, 46B20, 47H10, 46J10, 46J15.

Keywords: Best proximity point, multi-valued mappings, cyclic rational contraction and Complete metric space.

1. INTRODUCTION

In 1969, Nadler

13

studied a fixed point on a contraction multi-valued mapping. Let (X, d) be a metric space and let P(X) denote the family of all nonempty subsets of X. A mapping

P(X) X :

T

is called a multi-valued mapping. If there exists a constant k

(0, 1) be such that y)

kd(x, Ty)

H(Tx,

, for all

x,y X

, then we say that T is a multi-valued contraction mapping.

Note that H(A, B) = max{h(A, B), h(B, A)} , where h(A, B) = sup {d(a, B) : a

A } . It is also shown in [21] that a mapping T of X into the family K(X) of all nonempty compact subsets of X has a fixed point if it satisfies H(Tx, Ty)

k(d(x, y))d(x, y) for all

x,y  X

with

x y

, where k is a function of (0, 1) to [0, 1) with k ( r ) 1

t r

sup

li

for every t  (0, 1) .

Let A and B be nonempty subsets of a metric space (X, d) . Consider a mapping B

A B A :

T

  

, T is called a cyclic map if T(A)

B and T(B)

A , x  A is called a best

proximity point of T in A if d(x, Tx) = d(A, B) is satisfied,

(2)

where d(A, B) = inf {d(x, y) : x

A, y

B} .

In a recent paper, Erdal Karapinar and Inci Erhan

5

studied some proximity points by using different types cyclic contraction. Furthermore

16,6,8

examine several variants of contractions for the existence of a best proximity point. Later, Karapinar, E.

7

have derived a best proximity point theorem for Cyclic Mappings. In 2005, Elderd et al.

3

proved the existence of a best proximity point for relatively nonexpansive mappings using the notion of proximal normal structure. In 2006, Eldred and Veeramani

4

proved the following existence theorem.

Recently, best proximity point theorems for various types of contractions have been obtained in

1, 9,10,11,15,17

.

Definition 1.1. Let A and B be nonempty subsets of a metric space (X, d). The cyclic (on A and B) multi-valued mapping T is said to be cyclic contraction if there exists a constant

1) (0,

k

such that H(Tx, Ty)  kd(x, y) + (1 - k) d(A, B) for all x  A and y  B .

Theorem 1.2. Let A and B be nonempty closed convex subsets of a uniformly convex Banach space. Suppose f : A  B  A  B is a cyclic contraction, that is, f(A)  B and

A

f(B)  , and there exists k  (0, 1) such that d(fx fy)  kd(x, y) + (1 - k) d(A, B) for every x  A, y  B .

Then there exists a unique best proximity point in A. Further, for each x  A , {f 2n x}

converges to the best proximity point.

Remark. The following properties of the functional H are well-known:

(1) H is a metric on CB(X), where CB(X) is the family of all nonempty bounded closed subsets of X.

(2) f(X, d) is a metric space, A;B 2 P(X) and q > 1 be given, then for every a  A there exists B

b  such that d(a, b)  qH(A, B) .

An element x  X is a fixed point of a multi-valued T if x  Tx . We denote by F T the set of all fixed points of T, i.e., F T = {x  X : x  Tx} . Theorem 1.3 is a result of [13].

Theorem 1.3. Let (X, d) be a metric space and T : X  CB(X) be a multi-valued contraction.

Then T has at least one fixed point.

2. PRELIMINARIES

In this section, we first define in what follows the MT-function which will be used throughout the paper to get new best proximity point theorems.

Definition 2.1. (See

24

) A function  : [ 0 ,  )  [ 0 , 1 ) is said to be an MT-function if it satisfies Mizoguchi-Takahashi's condition ( (s) < 1 for all t [0, )

t s

lim   

).

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It is obvious that if  : [ 0 ,  )  [ 0 , 1 ) is a non-decreasing function or a non-increasing function, then is an MT-function. So, the set of MT-functions is a rich class, but it is worth to mention that there exist functions which are not MT-function.

Example 2.2. (See

26

) Let  : [ 0 ,  )  [ 0 , 1 ) be defined by



 

 

 

  

. otherwise 0

, 2 0 t t

t sin )

t (

Since (s) < 1 t

s

lim 

 , is not an MT-function.

Very recently, Du

26

first proved some characterizations of MT-functions.

Theorem 2.3. Let  : [ 0 ,  )  [ 0 , 1 ) be a function. Then the following statements are equivalent.

(a)  psi is an MT-function,

(b) For each t  [0, 1) , there exists ( 1 ) 0 and t

) 1 (

r t   such that ( 1 )

r t ) s

( 

 for all

) ) 1 ( t t , t (

s    ,

(c) For each t  [0, 1) , there exists ( 2 ) 0 and t

) 2 (

r t   such that ( 2 )

r t ) s

( 

 for all

) ) 2 ( t t , t (

s    ,

(d) For each t  [0, 1) , there exists ( 3 ) 0 and t

) 3 (

r t   such that ( 3 )

r t ) s

( 

 for all

) ) 3 ( t t , t (

s    ,

(f) For each t  [0, 1) , there exists ( 4 ) 0 and t

) 4 (

r t   such that ( 4 )

r t ) s

( 

 for all

) ) 4 ( t t , t (

s    ,

(f) For any non-increasing sequence { x n } n  N in [ 0 ,  ) , we have L

n ) x N ( sup n

0     ,

(g)  is a function of contractive factor

25

, that is, for any strictly decreasing sequence N

} n x n

{  in [0;1), we have 0  sup n  N  ( x n )  L .

Definition 2.4.

27

Let A and B be nonempty subsets of a metric space (X, d). If a map B

A B A :

T    satisfies:

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(a) T(A) B and T(B)  A ;

(b) there exists an MT-function  : [ 0 ,  )  [ 0 , 1 ) such that B) y)))d(A, (d(x,

- (1 + y) y))d(x, (d(x,

Ty)

d(Tx;    , (2.1)

for all x  A and y  B . Then T is called an MT-cyclic contraction with respect to  on A  B .

Motivated by the definition of K-cyclic, C-cyclic and MT-functions, we introduce the following concept of generalized cyclic contractions.

Definition 2.5. Let A and B be nonempty subsets of a metric space (X, d). If a mapping Cl(B)

Cl(A) B

A :

T    is a cyclic rational MT-contractive map such that there exists 1

 < satisfies the following conditions:

(a) T(A) Cl(B) and T(B)  Cl(A) ;

(b) there exists an MT-function  : [ 0 ,  )  [ 0 , 1 ) such that

) B , A ( d )) y , x ( d ( 1 ( ) y , x ( ) d

y , x ( d 1

)]

Tx , x ( d 1 )[

Ty , y ( )) d y , x ( d ( Ty)

H(Tx,     

 

 

 

 , (2.2)

for all x  A and y  B , where 0   < 1 . 3. MAIN RESULTS

In this section, we shall prove the existence and uniqueness convergence theorems for multi-valued mappings to a best proximity points of the non-self-mappings A and B.

Theorem 3.1. Let (A,B) be a pair of two nonempty closed subsets of a complete metric space d)

(X, . Suppose that a mapping T : A  B  Cl(A)  Cl(B) be a cycle rational MT- contractive map, then there exits an orbit {x n of T at } x 0 such that

) B , A ( d ) x , x ( d

lim n n 1

n

 

.

Proof. Let x 0  A and x 1  Tx 0  B . There exists x 2  Tx 1  A such that

B) ))d(A, x , (d(x -

(1 ) x , ) d(x

x , d(x 1

)]

Tx , d(x )[1 Tx , )) d(x x , (d(x

) Tx , H(Tx )

Tx , h(Tx ) Tx , d(x ) x , d(x

1 0 1

1 0 0

0 0 1

1 1 0

1 0 1

0 1

1 2

1





 

 

 

B) ))d(A, x

, (d(x -

(1 ) x , ) d(x

x , d(x 1

)]

x , d(x )[1 x , )) d(x x ,

(d(x 0 1 0 1

1 0

1 0 2

1 1

0   

 

 

 

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  (d(x 0 , x 1 ))[ d(x 1 , x 2 )  d(x 0 , x 1 )]  (1 -  (d(x 0 , x 1 ))d(A, B) , which implies that

B) ))d(A, x

, (d(x -

(1 ) x , ))d(x x , (d(x

) x , ))]d(x x

, (d(x -

[1  0 1 1 2   0 1 0 1   0 1

B) )d(A, )) x , (d(x -

1

)) x , - (d(x

(1 ) x , )) d(x x , (d(x -

1

)) x , (d(x

) x , d(x

1 0

1 1 0

1 0 0

1 2 0

1 

 



  (3.1)

From (3.1), finally we obtain

B)]

d(A, - ) x , )) [d(x x , (d(x -

1

)) x , (d(x

B) d(A, - ) x ,

d(x 0 1

1 0

1 2 0

1 

  .

Similarly, there exists x 3  Tx 2  B such that

B) ))d(A, x , (d(x -

(1 ) x , ) d(x

x , d(x 1

)]

Tx , d(x )[1 Tx , )) d(x x , (d(x

) Tx , H(Tx h ) Tx , H(Tx ) x , d(x

2 1 2

1 2

1

1 1 2

2 2 1

2 1 2

1 3

2



 

 

 

 

B) ))d(A, x

, (d(x -

(1 ) x , ) d(x

x , d(x 1

)]

x , d(x )[1 x , )) d(x x ,

(d(x 1 2 1 2

2 1

2 1 3

2 2

1   

 

 

 

  (d(x 1 , x 2 ))[ d(x 2 , x 3 )  d(x 1 , x 2 )]  (1 -  (d(x 1 , x 2 ))d(A, B) , which implies that

B) ))d(A, x

, (d(x -

(1 ) x , ))d(x x , (d(x

) x , ))]d(x x

, (d(x -

[1  1 2 2 3   1 2 1 2   1 2

B) )d(A, )) x , (d(x -

1

)) x , - (d(x

(1 ) x , )) d(x x , (d(x -

1

)) x , (d(x

) x , d(x

2 1

2 2 1

2 1 1

2 3 1

2 

 



  ,

or

B)]

d(A, - ) x , )) [d(x x , (d(x -

1

)) x , (d(x

B) d(A, - ) x ,

d(x 1 2

2 1

2 3 1

2 

  .

By induction, we get

[d(x , x ) - d(A, B)]

)) x , (d(x -

1

)) x , (d(x

B) d(A, - ) x ,

d(x n - 1 n

n 1 - 1n

n 1 - 1 n

n

n 

 

. (3.2)

Since  ( t )  1 for all t  [ 0 ,  ) , where 1 ) t ( 1

) t

( 

. By (3.2), we obtain

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B) d(A, - ) x , d(x B) d(A, - ) x ,

d(x n n 1n - 1 n ,

which implies that d(x n , x n 1 )  d(x n - 1 , x n ) for all n  N . Thus the sequence }

) x ,

{d(x n n 1 is a strictly decreasing in [ 0 ,  ) . Since  is an MT-function by applying (g) by Theorem 2.3, we get

1 ) ) x , d(x ( sup

0 n n 1

N n



 .

Suppose k sup ( d(x n , x n 1 ) ) N

n

  

 .

Therefore 0  k  1 , since  ( d(x n , x n 1 ) )  k , we get 1 -  ( d(x n , x n 1 ) )  1 – k.

Then,

k 1

k )) x , (d(x -

1

)) x , (d(x

1 n n

1 n

n  





 ,

for all n  N . Hence,

k 1 1

k )) x , (d(x -

1

)) x , sup (d(x

0

1 n n

1 n n N

n

 

 

 

 .

Say

)) x , (d(x -

1

)) x , sup (d(x

1 n n

1 n n N

n 

 

 

 .

Then   [0, 1) . From (3.2), we have

B)].

d(A, - ) x , [d(x ...

B)]

d(A, - ) x , [d(x

B)]

d(A, - ) x , [d(x

B)]

d(A, - ) x , )) [d(x x , (d(x -

1

)) x , (d(x

B) d(A, - ) x , d(x

1 n 0

1 - n 2 - 2 n

n 1 - n

n 1 - n n

1 - 1n

n 1 - 1 n

n n



 

(3.3)

Since   [0, 1) and taking n   in (3.3), we have lim n = 0 n

 

 , So that, we obtain )

B , A ( d ) x , x ( d

lim n n 1

n

 

 .

This completes the proof.

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Theorem 3.2. Let (A;B) be a pair of two nonempty closed subsets of a complete metric space d)

(X, . Suppose that a mapping T : A  B  Cl(A  B) be a cycle rational MT-contractive map. Assume that a sequence {x 2n } has a subsequence converging to some element x in A.

Then the sequence {x n } is bounded.

Proof. Suppose x 2n  Tx 2n - 1  B . Then, there exists x 2n 1  Tx 2n  A such that

B) ))d(A, x

, (d(x -

(1

) x , ) d(x

x , d(x 1

)]

Tx , d(x )[1 Tx , )) d(x x , (d(x

) Tx , H(Tx )

Tx , d(x

0 1 - 2n

0 1 - 2n 0

1 - 2n

1 - 2n 1 - 2n 0

0 0 1 - 2n

0 1 - 2n 0

2n



 

 

 

 

B) ))d(A, x

, (d(x -

(1

) x , ) d(x

x , d(x 1

)]

x , d(x )[1 Tx , )) d(x x , (d(x

0 1 - 2n

0 1 - 0 2n

1 - 2n

2n 1 - 2n 0

0 0 1 - 2n



 

 

 

 

B) ))d(A, x

, (d(x -

(1

) x , ) d(x

x , d(x 1

)]

x , d(x )[1 Tx , )) d(x x , (d(x

0 1 - 2n

0 1 - 0 2n

1 - 2n

0 1 - 2n 0

0 0 1 - 2n



 

 

 

 

which implies that

B) ))d(A, x , (d(x - (1 ] ) x , d(x ) Tx , [d(x )) x , (d(x )

Tx ,

d(x

2n 0  2n-1 0 0 02n-1 0   2n-1 0

Since the sequence { x 2n k } converges to x in A and from Theorem 3.1, that )}

x ,

{d(x 2n - 1 2n converges to d(A, B) . So that last inequality implies that

) x , d(x ) Tx , [d(x )) x , (d(x

B) ))d(A, x

, (d(x -

(1

] ) x , d(x ) Tx , [d(x )) x , (d(x

) Tx , d(x B) d(A,

0 1 - 2n 0

0 0

1 - 2n

0 1 - 2n

0 1 - 2n 0

0 0

1 - 2n 0

2n







Since 0   (d(x 2n - 1 , x 0 )) < 1 . Hence, the sequence {x 2n is bounded. Similarly, it can } be show that {x 2n 1 } is also bounded. This complete the proof.

Theorem 3.3. Let (A, B) be a pair of two nonempty closed subsets of a complete metric space d)

(X, . Let a mapping T : Cl(A)  Cl(B)  Cl(A  B) be a cyclic rational MT-contractive map. Suppose that a sequence fx2ng has a subsequence converging to some element x in A.

Then x is a best proximity point of T.

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Proof. Suppose the sequence {x }

2n k be a subsequence of {x 2n converges to some element } x in A. Furthermore,

) B , A ( d ) x , x ( d

) x

, x ( d ) x , x ( d

) x

, x ( d ) B , A ( d

n k 2

k 1 n k 2 n k 2

n 2

k 1 n 2

Therefore d(x. x 1 ) d(A; B)

2n k  . In light of the fact that the sequence {x } 2n k has a subsequence of {x 2n converging to some element x in A. So, it results from Theorem 3.1 } that d(x , x 1 ) d(A, B)

2n k

2n k  . Since T is a cyclic rational MT-contractive map, it follows that

B) x))d(A, ,

(d(x -

(1

x) , x) d(x

, d(x

1

)]

Tx , d(x

Tx)[1 d(x, x)) , (d(x

Tx) , H(Tx Tx)

, d(x B) d(A,

1 k - 2n

1 k - 1 2n

k - 2n

1 k - 2n 1 k - 2n 1

k - 2n

1 k - k 2n

2n



 

 

 

 

B) x))d(A, ,

(d(x -

(1

x) , x) d(x

, d(x

1

)]

x , d(x

Tx)[1 d(x, x)) , (d(x

- 1 2n k

1 k - 1 2n

k - 2n

2n k 1 k - 2n 1

k - 2n



 

 

 

 

B) x))d(A, ,

(d(x -

(1

x) , x) d(x

, d(x

1

x)]

, d(x

Tx)[1 d(x, x)) , (d(x

1 k - 2n

1 k - 1 2n

k - 2n

1 k - 2n 1

k - 2n



 

 

 

 

B) x))d(A, ,

(d(x -

(1 x)]

, d(x Tx) d(x, [ x)) ,

(d(x - 1

2n k 1

k - 2n 1

k -

2n   



B) x))d(A, ,

(d(x -

(1 B)]

d(A, Tx)

d(x, [ x)) ,

(d(x - 1

2n k 1

k -

2n   



B)]

d(A, Tx)

d(x, [ x)) , (d(x - 1

2n k 



 .

Since  is an MT-function by applying (g) by Theorem 2.3, we get 1

<

)) x , (d(x

0   2n - 1 0 ,

and taking k   in the inequality above, then we obtain B)

d(A, Tx)

d(x,  ,

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that is x is a best proximity point of T. This completes the proof.

Following examples illustrating our main results.

Example 3.4. (see

30

) Consider the usual metric space d(x, y) = | x - y | , for all x; y  X . Let R

=

X . Suppose A = [0, 1] and B = [2, 3] , then d(A, B) = 1 . Define a mapping Cl(B)

Cl(A) B

A :

T    as follows:

2 x , 5 1

Tx 

 for all x  A s.t. Tx = {[1, a] : a  [2 2.5]} and

2 y , 4 0

Ty 

 for all y  B s.t. Ty = {[b, b] : b  [0.5, 1]}

It is clear that T(A)  Cl(B) and T(B)  Cl(A) . Since, Tx)}]

d(y, {sup

Ty)}, d(x, {sup

max[

= Ty)

H(Tx, x X y B

Let us observe that, for x = 1 and y = 2, then, we have Tx = [1;, 2] and Ty = [0, 1].

Then, we obtain,

0.

0}

{0, max

0]}

sup[1, 0], {sup[1, max

2))]}

d(2, 1), [sup(d(2, 1))],

d(1, 0), (1, max{[sup(d Ty)

H(Tx,

Similarly, we find that

1, 1]

, sup[0 Tx]

a : a) sup[d(x, Tx)

d(x,    

2, 1]

sup[2, Ty]

b : b) sup[d(y, Ty)

d(y,    

Let  : [ 0 ,  )  [ 0 , 1 ) and the constant function given by

t) + 2(1

= t

 (t) . Therefore, it is easy to check that

. 2 1 1 1 4 . 1 1 4 1

1 2 . 2 2 1

B) y)))d(A, (d(x,

- (1 ) y , x ( y) d

d(x;

1

Tx)]

d(x, Ty)[1 y)) d(y,

(d(x,

Ty) H(Tx,

 

 

  

 

 

 

 

 

 

 

 

It is clear 1 . 2

0  1   for all  < 1 . Therefore, condition (2.2) is satisfied. So that a mapping

T is a cyclic rational MT-contractive map.

(10)

ACKNOWLEDGEMENT

The work is supported by University Grants Commission CRO Bhopal, MRP (MS- 107/202077/XII/13-14).

REFERENCES

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11. H. Aydi, E. Karapinar,I. M.Erhan, P.Salimi, Best proximity points of generalized almost- Geraghty contractive non-self mappings, Fixed Point Theory and Applications.

12. H.K. Pathak, Y.J. Cho, S.M. Kang, Remarks on R-weakly commuting mappings and common fixed point theorems. Bull. Korean Math. Soc. 34, 247-257 (1997).

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