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Multi-valued version of SCC, SKC, KSC, and CSC conditions in Ptolemy metric spaces

Abstract

In this paper, multi-valued version of SCC, SKC, KSC, and CSC conditions in Ptolemy metric space are presented. Then the existence of a fixed point for these mappings in a Ptolemy metric space are proved. Finally, some examples are presented.

MSC:47H10.

1 Introduction

The definition of a Ptolemy metric space is introduced by Schoenberg [1, 2]. In order to define it, we need to recall the definition of a Ptolemy inequality as follows.

Definition 1.1 [1]

Let (X,d) be a metric space, the inequality

d(x,y)d(z,p)≤d(x,z)d(y,p)+d(x,p)d(y,z)

is called a Ptolemy inequality, where x,y,z,p∈X.

Now, the definition of Ptolemy metric space is as follows.

Definition 1.2 [1]

A Ptolemy metric space is a metric space where the Ptolemy inequality holds.

Schoenberg proved that every pre-Hilbert space is Ptolemaic and each linear quasinormed Ptolemaic space is a pre-Hilbert space (see [1] and [3]). Moreover, Burckley et al. [4] proved that CAT(0) spaces are Ptolemy metric spaces. They presented an example to show the converse is not true. Espinola and Nicolae in [5] proved a geodesic Ptolemy space with a uniformly continuous midpoint map is reflexive. With respect to this, they proved some fixed point theorems.

In 2008, Suzuki [6] introduced the C condition.

Definition 1.3 Let T be a mapping on a subset K of a metric space X, then T is said to satisfy C condition if

1 2 d(x,Tx)≤d(x,y)impliesd(Tx,Ty)≤d(x,y),

for all x,y∈K.

Karapınar and Taş [7] presented some new definitions which are modifications of Suzuki’s C condition as follows.

Definition 1.4 Let T be a mapping on a subset K of a metric space X.

  1. (i)

    T is said to satisfy the SCC condition if

    1 2 d(x,Tx)≤d(x,y)impliesd(Tx,Ty)≤M(x,y),

    where

    M(x,y)=max { d ( x , y ) , d ( x , T x ) , d ( T y , y ) , d ( T x , y ) , d ( x , T y ) } for all x,y∈K.
  2. (ii)

    T is said to satisfy the SKC condition if

    1 2 d(x,Tx)≤d(x,y)impliesd(Tx,Ty)≤N(x,y),

    where

    N(x,y)=max { d ( x , y ) , 1 2 { d ( x , T x ) + d ( T y , y ) } , 1 2 { d ( T x , y ) + d ( x , T y ) } } for all x,y∈K.
  3. (iii)

    T is said to satisfy the KSC condition if

    1 2 d(x,Tx)≤d(x,y)impliesd(Tx,Ty)≤ 1 2 { d ( x , T x ) + d ( T y , y ) } .
  4. (iv)

    T is said to satisfy the CSC condition if

    1 2 d(x,Tx)≤d(x,y)impliesd(Tx,Ty)≤ 1 2 { d ( T x , y ) + d ( x , T y ) } .

It is clear that every nonexpansive mapping satisfies the SKC condition [[7], Proposition 9]. There exist mappings which do not satisfy the C condition, but they satisfy the SCC condition as the following example shows.

Example 1.5 [8]

Define a mapping T on [0,3] with d(x,y)=|x−y| by

T(x)= { 0 if  x ≠ 3 , 2 if  x = 3 .

Karapınar and Taş [7] proved some fixed point theorems as follows.

Theorem 1.6 Let T be a mapping on a closed subset K of a metric space X. Assume T satisfies the SKC, KSC, SCC or CSC condition, then F(T) is closed. Moreover, if X is strictly convex and K is convex, then F(T) is also convex.

Theorem 1.7 Let T be a mapping on a closed subset K of a metric space X which satisfying the SKC, KSC, SCC or CSC condition, then d(x,Ty)≤5d(Tx,x)+d(x,y) holds for x,y∈K.

Hosseini Ghoncheh and Razani [8] proved some fixed point theorems for the SCC, SKC, KSC, and CSC conditions in a single-valued version in Ptolemy metric space. In this paper, the notation of SCC, SKC, KSC, and CSC conditions are generalized for multi-valued mappings and some new fixed point theorems are obtained in Ptolemy metric spaces.

Let X be a metric space and { x n } be a bounded sequence in X. For x∈X, let

r ( x , { x n } ) = lim sup n → ∞ d(x, x n ).

The asymptotic radius r({ x n }) of { x n } in K is given by

r ( K , { x n } ) = inf x ∈ K r ( x , { x n } ) ,

and the asymptotic center A({ x n }) of { x n } in K is the set

A ( K , { x n } ) = { x ∈ K : r ( x , { x n } ) } =r ( K , { x n } ) .

Definition 1.8 [9]

A sequence { x n } in a CAT(0) space X is said to be Δ-convergent to x∈X, if x is the unique asymptotic center of every subsequence of { x n }.

Lemma 1.9

  1. (i)

    Every bounded sequence in X has a Δ-convergent subsequence [[10], p.3690].

  2. (ii)

    If C is a closed convex subset of X and if { x n } is a bounded sequence in C, then the asymptotic center of { x n } is in C [[11], Proposition  2.1].

  3. (iii)

    If C is a closed convex subset of X and if f:C→X is a nonexpansive mapping, then the conditions, { x n }Δ-converges to x and d( x n ,f( x n ))→0, imply x∈C and f(x)=x [[10], Proposition  3.7].

Lemma 1.10 [12]

If { x n } is a bounded sequence in X with A({ x n })={x} and { u n } is a subsequence of { x n } with A({ u n })={u} and the sequence {d( x n ,u)} converges, then x=u.

The next lemma and theorem play main roles for obtaining a fixed point in the Ptolemy metric spaces.

Lemma 1.11 [13]

Let { z n } and { w n } be bounded sequences in metric space K and λ∈(0,1). Suppose z n + 1 =λ w n +(1−λ) z n and d( w n + 1 , w n )≤d( z n + 1 , z n ) for all n∈N. Then lim sup n → ∞ d( w n , z n )=0.

Theorem 1.12 [5]

Let X be a complete geodesic Ptolemy space with a uniformly continuous midpoint map, { x n }⊆X a bounded sequence and K⊆X nonempty closed and convex. Then { x n } has a unique asymptotic center in K.

2 Main results

Let X be complete geodesic Ptolemy space and P(X) denote the class of all subsets of X. Denote

P f (X)={A⊂X:A≠∅ has property f}.

Thus P b d , P c l , P c v , P c p , P c l , b d , P c p , c v denote the classes of bounded, closed, convex, compact, closed bounded, and compact convex subsets of X, respectively. Also T:K→ P f (X) is called a multi-valued mapping on X. A point u∈X is called a fixed point of T if u∈Tu.

Definition 2.1 [14]

Let K be a subset of a CAT(0) space X. A map T:X→P(X) is said to satisfy the C condition if for each x∈K, u x ∈Tx, and y∈K

1 2 d(x, u x )≤d(x,y)

there exists a u y ∈Ty such that

d( u x , u y )≤d(x,y).

Espinola and Nicolae [5] used the C condition as follows.

Theorem 2.2 Let X be a complete geodesic Ptolemy space with a uniformly continuous midpoint map, and K a nonempty bounded, closed, and convex subset of X. Suppose T:K→ P c p (K) is a multi-valued mapping satisfying the C condition, then F(T)≠∅.

Now, we extend the SCC, SKC, KSC, and CSC conditions to multi-valued versions.

Definition 2.3 Let K be a subset of a geodesic Ptolemy space X. A map T:X→P(X) is said to satisfy conditions (i) SCC, (ii) SKC, (iii) KSC, (iv) CSC if for each x∈K, u x ∈Tx, and y∈K

1 2 d(x, u x )≤d(x,y)

there exists a u y ∈Ty such that

  1. (i)

    d( u x , u y )≤ M ′ (x,y), where

    M ′ (x,y)=max { d ( x , y ) , d ( x , u x ) , d ( u y , y ) , d ( u x , y ) , d ( x , u y ) } ,
  2. (ii)

    d( u x , u y )≤ N ′ (x,y), where

    N ′ (x,y)=max { d ( x , y ) , 1 2 { d ( x , u x ) + d ( u y , y ) } , 1 2 { d ( u x , y ) + d ( x , u y ) } } ,
  3. (iii)

    d( u x , u y )≤ 1 2 {d(x, u x )+d( u y ,y)},

  4. (iv)

    d( u x , u y )≤ 1 2 {d( u x ,y)+d(x, u y )}.

Remark 2.4 Notice that any KSC or CSC map is a SKC map.

Lemma 2.5 Let X be a complete geodesic Ptolemy space, and K a nonempty closed subset of X. Suppose T:K→ P c p (K) is a multi-valued mapping satisfying the SKC condition, then for every x,y∈K, u x ∈T(x) and u x x ∈T( u x ) the following hold:

  1. (i)

    d( u x , u x x )≤d(x, u x ),

  2. (ii)

    either 1 2 d(x, u x )≤d(x,y) or 1 2 d( u x , u x x )≤d( u x ,y),

  3. (iii)

    either d( u x , u y )≤ N ′ (x,y) or d( u y , u x x )≤ N ′ ( u x ,y),

where

N ′ ( u x ,y)=max { d ( u x , y ) , 1 2 { d ( u x x , u x ) + d ( u y , y ) } , 1 2 { d ( u x x , y ) + d ( u y , u x ) } } .

Proof The first statement follows from the SKC condition. Indeed, we always have

1 2 d(x, u x )≤d(x, u x ),

which yields

d( u x , u x x )≤ N ′ (x, u x ),
(2.1)

where

N ′ ( x , u x ) = max { d ( x , u x ) , 1 2 { d ( u x , x ) + d ( u x x , u x ) } , 1 2 { d ( u x , u x ) + d ( u x x , x ) } } = max { d ( x , u x ) , 1 2 { d ( u x , x ) + d ( u x x , u x ) } , 1 2 d ( u x x , x ) } .

If N ′ (x, u x )=d(x, u x ) we are done. If N ′ (x, u x )= 1 2 {d( u x ,x)+d( u x x , u x )} then (2.1) turns into

d( u x , u x x )≤ N ′ (x, u x )= 1 2 { d ( u x , x ) + d ( u x x , u x ) } .
(2.2)

By simplifying (2.2), one can get (i). For the case N ′ (x, u x )= 1 2 d( u x x ,x) (2.1) turns into

d( u x , u x x )≤ N ′ (x, u x )= 1 2 d( u x x ,x)≤ 1 2 { d ( u x , x ) + d ( u x x , u x ) } ,

which implies (i). It is clear that (iii) is a consequence of (ii). To prove (ii), assume the contrary, that is,

1 2 d( u x ,x)>d(x,y)and 1 2 d( u x x , u x )>d( u x ,y)

hold for all x,y∈K. Thus by triangle inequality and (i), we have

d ( x , u x ) ≤ d ( x , y ) + d ( y , u x ) < 1 2 { d ( u x , x ) + d ( u x x , u x ) } ≤ 1 2 d ( u x , x ) + 1 2 d ( u x , x ) = d ( x , u x ) .

 □

Theorem 2.6 Let X be a complete geodesic Ptolemy space, K a nonempty closed subset of X. Suppose T:K→ P c p (K) is a multi-valued mapping satisfying SKC condition, then d(x, u y )≤7d( u x ,x)+d(x,y) for all x,y∈K, u x ∈Tx, and u y ∈Ty.

Proof The proof is based on Lemma 2.5; it is proved that

d( u x , u y )≤ N ′ (x,y)ord( u y , u x x )≤ N ′ ( u x ,y)

holds, where

N ′ ( u x ,y)=max { d ( u x , y ) , 1 2 { d ( u x x , u x ) + d ( u y , y ) } , 1 2 { d ( u x x , y ) + d ( u y , u x ) } } .

Consider the first case. If N ′ (x,y)=d(x,y), then we have

d(x, u y )≤d(x, u x )+d( u x , u y )≤d(x, u x )+d(x,y).

For N ′ (x,y)= 1 2 {d( u x ,x)+d( u y ,y)} one can observe

d ( x , u y ) ≤ d ( x , u x ) + d ( u x , u y ) ≤ d ( x , u x ) + 1 2 { d ( u x , x ) + d ( u y , y ) } ≤ 3 2 d ( u x , x ) + 1 2 d ( u y , y ) ≤ 3 2 d ( u x , x ) + 1 2 { d ( u y , x ) + d ( x , y ) } .

Thus,

1 2 d(x, u y )≤ 3 2 d(x, u x )+ 1 2 d(x,y)if and only ifd(x, u y )≤3d(x, u x )+d(x,y).

For N ′ (x,y)= 1 2 {d( u x ,y)+d( u y ,x)} one can obtain

d ( x , u y ) ≤ d ( x , u x ) + d ( u x , u y ) ≤ d ( x , u x ) + 1 2 { d ( u x , y ) + d ( u y , x ) } ≤ d ( u x , x ) + 1 2 { d ( u x , x ) + d ( x , y ) } + 1 2 d ( u y , x ) .

Thus

1 2 d(x, u y )≤ 3 2 d(x, u x )+ 1 2 d(x,y)if and only ifd(x, u y )≤3d(x, u x )+d(x,y).

Take the second case into account. For N ′ ( u x ,y)=d( u x ,y)

d ( x , u y ) ≤ d ( x , u x ) + d ( u x , u x x ) + d ( u x x , u y ) ≤ d ( x , u x ) + ( u x , x ) + d ( u x , y ) = 2 d ( x , u x ) + d ( u x , y ) ≤ 2 d ( x , u x ) + d ( u x , x ) + d ( x , y ) = 3 d ( x , u x ) + d ( x , y ) .

If N ′ ( u x ,y)= 1 2 {d( u x x , u x )+d( u y ,y)} then

d ( x , u y ) ≤ d ( x , u x ) + d ( u x , u x x ) + d ( u x x , u y ) ≤ 2 d ( x , u x ) + 1 2 { d ( u x x , u x ) + d ( u y , y ) } ≤ 5 2 d ( x , u x ) + 1 2 d ( u y , y ) ≤ 5 2 d ( x , u x ) + 1 2 { d ( u y , x ) + d ( x , y ) } ;

then

1 2 d(x, u y )≤ 5 2 d(x, u x )+ 1 2 d(x,y)if and only ifd(x, u y )≤5d(x, u x )+d(x,y).

For the last case, N ′ ( u x ,y)= 1 2 {d( u x x ,y)+d( u y , u x )} and we have

d ( x , u y ) ≤ d ( x , u x ) + d ( u x , u x x ) + d ( u x x , u y ) ≤ 2 d ( x , u x ) + 1 2 { d ( u x x , y ) + d ( u y , u x ) } ≤ 2 d ( x , u x ) + 1 2 { d ( u x x , u x ) + d ( u x , x ) + d ( x , y ) } + 1 2 { d ( u y , x ) + d ( x , u x ) } ≤ 7 2 d ( x , u x ) + 1 2 d ( u y , x ) + 1 2 d ( x , y ) .

Thus

1 2 d(x, u y )≤ 7 2 d(x, u x )+ 1 2 d(x,y)if and only ifd(x, u y )≤7d(x, u x )+d(x,y).

Hence, the result follows from all the above cases. □

Corollary 2.7 Let X be a complete geodesic Ptolemy space, K a nonempty closed subset of X. Suppose T:K→ P c p (K) is a multi-valued mapping satisfying SCC condition, then d(x, u y )≤7d( u x ,x)+d(x,y) for all x,y∈K, u x ∈Tx, and u y ∈Ty.

Theorem 2.8 Let X be a complete geodesic Ptolemy space with a uniformly continuous midpoint map, and K a nonempty, bounded, closed, and convex subset of X. Suppose T:K→ P c p (K) is a multi-valued mapping satisfying the SKC condition and x n is a sequence in K with lim n → ∞ d( x n , u x n )=0, where u x n ∈T x n , then F(T)≠∅.

Proof By Theorem 1.12, x n has unique asymptotic center denoted by x. Let n∈N. Applying Theorem 2.6 for x n , x, and u x n , respectively, it follows that there exists u z n ∈Tx such that d( x n , u z n )≤7d( x n , u x n )+d( x n ,x).

Let u z n k be a subsequence of u z n that converges to some u z ∈Tx, then

d ( x n k , u z ) ≤ d ( x n k , u z n k ) + d ( u z n k , u z ) ≤ 7 d ( x n k , u x n k ) + d ( x n k , x ) + d ( u z n k , u z ) ,

taking the superior limit as k→∞ and knowing that the asymptotic center of { x n k } is precisely x. Thus we obtain x= u z ∈Tx. Hence the proof is complete. □

By the same idea of [[4], p.6] we construct a function T:X→P(X), which is SKC and has a fixed point.

Example 2.9 Consider the space

X= { ( 0 , 0 ) , ( 0 , 1 ) , ( 1 , 1 ) , ( 1 , 2 ) }

with l ∞ metric,

d ( ( x 1 , y 1 ) , ( x 2 , y 2 ) ) =max { | x 1 − x 2 | , | y 1 − y 2 | } .

X is a geodesic Ptolemy space, but it is not a CAT(0) space (see [4]).

Define a mapping T on X by

T(x,y)= { { ( 1 , 1 ) , ( 0 , 0 ) } if  ( x , y ) ≠ ( 0 , 0 ) , { ( 0 , 1 ) } if  ( x , y ) = ( 0 , 0 ) .

T satisfies the SKC condition. Suppose x=(0,0) and y=(1,1), thus Tx={(0,1)}, then u x =(0,1), so

1 2 d(x, u x )= 1 2 d ( ( 0 , 0 ) , ( 0 , 1 ) ) = 1 2 ≤d(x,y)=d ( ( 0 , 0 ) , ( 1 , 1 ) ) =1,

and we can choose u y =(0,0),

N ′ ( ( 0 , 0 ) , ( 1 , 1 ) ) = max { d ( ( 0 , 0 ) , ( 1 , 1 ) ) , 1 2 [ d ( ( 0 , 0 ) , ( 0 , 1 ) ) + d ( ( 0 , 0 ) , ( 1 , 1 ) ) ] , 1 2 [ d ( ( 0 , 1 ) , ( 1 , 1 ) ) + d ( ( 0 , 0 ) , ( 0 , 0 ) ) ] } = 1 ;

thus

d( u x , u y )=d ( ( 0 , 1 ) , ( 0 , 0 ) ) =1≤ N ′ (x,y)= N ′ ( ( 0 , 0 ) , ( 1 , 1 ) ) =1.

One can check the SKC condition holds for the other points of the space X.

Note that (1,1)∈T(1,1); thus F(T)={(1,1)}≠∅.

Corollary 2.10 Let X be a complete geodesic Ptolemy space with a uniformly continuous midpoint map, and K a nonempty bounded, closed, and convex subset of X. Suppose T:K→ P c p (K) is a multi-valued mapping satisfying the condition SCC and x n is a sequence in K with lim n → ∞ d( x n ,T x n )=0, then F(T)≠∅.

One can find in [15] the multi-valued version of the E μ and C λ conditions.

Definition 2.11 Let K be a subset of a metric space (X,d). A map T:K→ P c l , b d (X) is said to satisfy the E μ ′ condition provided that

dist(x,Ty)≤μdist(x,Tx)+d(x,y),x,y∈K;

we say that T satisfies the E ′ condition whenever T satisfies E μ ′ for some μ≥1.

One can replace the metric space with a Ptolemy space in the following definition.

Definition 2.12 Let K be a subset of a metric space (X,d) and λ∈(0,1). A map T:K→P(X) is said to satisfy the C λ ′ condition if for each x,y∈K,

λdist(x,Tx)≤d(x,y)

implies

H(Tx,Ty)≤d(x,y),

where H(â‹…,â‹…) stands for the Hausdorff distance.

Theorem 2.13 Let X be a complete geodesic Ptolemy space with a uniformly continuous midpoint map, and K be a nonempty bounded, closed, and convex subset of X. Suppose T:K→ P c l , b d (K) is a multi-valued mapping satisfying E ′ and C λ ′ conditions, then F(T)≠∅.

Proof We find an approximate fixed point for T. Take x 0 ∈K, since T x 0 ≠∅ we can choose y 0 ∈T x 0 . Define

x 1 =(1−λ) x 0 ⊕λ y 0 .

Since K is convex, x 1 ∈K. Let y 1 ∈T x 1 be chosen such that

d( y 0 , y 1 )=dist( y 0 ,T x 1 ).

Similarly, set

x 2 =(1−λ) x 1 ⊕λ y 1 .

Again we choose y 2 ∈T x 2 such that

d( y 1 , y 2 )=dist( y 1 ,T x 2 ).

By the same argument, we get y 2 ∈K. In this way we find a sequence { x n }⊂K such that

x n + 1 =(1−λ) x n ⊕λ y n ,

where y n ∈T x n and

d( y n − 1 , y n )=dist( y n − 1 ,T x n ).

For every n∈N

λd( x n , y n )=d( x n , x n + 1 ),

for which it follows that

λdist( x n ,T x n )≤λd( x n , y n )=d( x n , x n + 1 );

since T satisfies the C λ ′ condition,

H(T x n ,T x n + 1 )≤d( x n , x n + 1 ),

this implies

d ( y n + 1 , y n ) = dist ( y n , T x n + 1 ) ≤ H ( T x n , T x n + 1 ) ≤ d ( x n , x n + 1 ) .

Now, we apply Lemma 1.11 to conclude lim n → ∞ d( x n , y n )=0, where y n ∈T x n . The bounded sequence { x n } is Δ-convergent, hence by passing to a subsequence Δ- lim n x n =v∈K. We choose z n ∈Tv such that

d( x n , z n )=dist( x n ,Tv).

Since Tv is compact, the sequence { z n } has a convergent subsequence { z n k } with lim k → ∞ z n k =w∈Tv. Moreover, z n ∈K, and K is closed; then w∈K. By the E ′ condition

dist( x n k ,Tv)≤μdist( x n k ,T x n k )+d( x n k ,v)for some Î¼â‰¥1.

Note that

d ( x n k , w ) ≤ d ( x n k , z n k ) + d ( z n k , w ) ≤ μ dist ( x n k , T x n k ) + d ( x n k , v ) + d ( z n k , w ) ;

this implies

lim sup n → ∞ d( x n k ,w)≤ lim sup n → ∞ d( x n k ,v).

Thus by the Opial property, w=v∈Tv. □

Example 2.14 [15]

Let X=R and D=[0, 7 2 ]. Define a mapping T on D with d(x,y)=|x−y| by

T(x)= { [ 0 , x 7 ] if  x ≠ 7 2 , { 1 } if  x = 7 2 .

First we show T satisfies the C λ ′ condition. Let x,y∈[0, 7 2 ), then

H(Tx,Ty)= | x − y 7 | ≤|x−y|.

Let x∈[0, 5 2 ] and y= 7 2 , then

H(Tx,Ty)=1≤ 7 2 −x.

Let x∈( 5 2 , 7 2 ) and y= 7 2 , then dist(x,Tx)= 6 x 7 , thus

1 2 dist(x,Tx)= 6 x 14 > 30 28 >1>|x−y|

and

1 2 dist(y,Ty)= 5 4 >1>|x−y|.

Thus T satisfies the C λ ′ condition with λ= 1 2 . Let x,y∈D, then

dist(x,Ty)≤3d(x,Tx)+|x−y|,

this shows T satisfies the E ′ condition. Since T(0)={0}, 0∈F(T)≠∅.

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Hosseini Ghoncheh, S., Razani, A. Multi-valued version of SCC, SKC, KSC, and CSC conditions in Ptolemy metric spaces. J Inequal Appl 2014, 471 (2014). https://doi.org/10.1186/1029-242X-2014-471

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