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Mathematics
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23 March 2017

A Generalization of b-Metric Space and Some Fixed Point Theorems

,
and
1
Department of Mathematics, Quaid-i-Azam University, Islamabad 45320, Pakistan
2
Department of Mathematics, School of Natural Sciences, National University of Sciences and Technology, H-12, Islamabad 44000, Pakistan
*
Author to whom correspondence should be addressed.
This article belongs to the Special Issue Fixed Point Theorems and Applications

Abstract

In this paper, inspired by the concept of b-metric space, we introduce the concept of extended b-metric space. We also establish some fixed point theorems for self-mappings defined on such spaces. Our results extend/generalize many pre-existing results in literature.
Keywords:
fixed point; b-metric

1. Introduction

The idea of b-metric was initiated from the works of Bourbaki [1] and Bakhtin [2]. Czerwik [3] gave an axiom which was weaker than the triangular inequality and formally defined a b-metric space with a view of generalizing the Banach contraction mapping theorem. Later on, Fagin et al. [4] discussed some kind of relaxation in triangular inequality and called this new distance measure as non-linear elastic mathing (NEM). Similar type of relaxed triangle inequality was also used for trade measure [5] and to measure ice floes [6]. All these applications intrigued and pushed us to introduce the concept of extended b-metric space. So that the results obtained for such rich spaces become more viable in different directions of applications.
Definition 1.
Let X be a non empty set and s 1 be a given real number. A function d : X × X [ 0 , ) is called b-metric (Bakhtin [2], Czrerwik [3]) if it satisfies the following properties for each x , y , z X .
(b1): 
d ( x , y ) = 0 x = y ;
(b2): 
d ( x , y ) = d ( y , x ) ;
(b3): 
d ( x , z ) s [ d ( x , y ) + d ( y , z ) ] .
The pair ( X , d ) is called a b-metric space.
Example 1.
1. Let X : = l p ( R ) with 0 < p < 1 where l p ( R ) : = { { x n } R : n = 1 | x n | p < } . Define d : X × X R + as:
d ( x , y ) = ( n = 1 | x n y n | p ) 1 / p
where x = { x n } , y = { y n } . Then d is a b-metric space [7,8,9] with coefficient s = 2 1 / p .
2. Let X : = L p [ 0 , 1 ] be the space of all real functions x ( t ) , t [ 0 , 1 ] such that 0 1 | x ( t ) | p < with 0 < p < 1 . Define d : X × X R + as:
d ( x , y ) = 0 1 | x ( t ) y ( t ) | p d t 1 / p
Then d is b-metric space [7,8,9] with coefficient s = 2 1 / p .
The above examples show that the class of b-metric spaces is larger than the class of metric spaces. When s = 1 , the concept of b-metric space coincides with the concept of metric space. For some details on subject see [7,8,9,10,11,12].
Definition 2.
Let ( X , d ) be a b-metric space. A sequence { x n } in X is said to be:
(I) 
Cauchy [12] if and only if d ( x n , x m ) 0 as n , m ;
(II) 
Convergent [12] if and only if there exist x X such that d ( x n , x ) 0 as n and we write lim n x n = x ;
(III) 
The b-metric space ( X , d ) is complete [12] if every Cauchy sequence is convergent.
In the following we recollect the extension of Banach contraction principle in case of b-metric spaces.
Theorem 1.
Let ( X , d ) be a complete b-metric space with constant s 1 , such that b-metric is a continuous functional. Let T : X X be a contraction having contraction constant k [ 0 , 1 ) such that k s < 1 . Then T has a unique fixed point [13].

2. Results

In this section, we introduce a new type of generalized metric space, which we call as an extended b-metric space. We also establish some fixed point theorems arising from this metric space.
Definition 3.
Let X be a non empty set and θ : X × X [ 1 , ) . A function d θ : X × X [ 0 , ) is called an extended b-metric if for all x , y , z X it satisfies:
  • ( d θ 1 ) d θ ( x , y ) = 0 iff x = y ;
  • ( d θ 2 ) d θ ( x , y ) = d θ ( y , x ) ;
  • ( d θ 3 ) d θ ( x , z ) θ ( x , z ) [ d θ ( x , y ) + d θ ( y , z ) ] .
The pair ( X , d θ ) is called an extended b-metric space.
Remark 1.
If θ ( x , y ) = s for s 1 then we obtain the definition of a b-metric space.
Example 2.
Let X = { 1 , 2 , 3 } . Define θ : X × X R + and d θ : X × X R + as:
θ ( x , y ) = 1 + x + y
d θ ( 1 , 1 ) = d θ ( 2 , 2 ) = d θ ( 3 , 3 ) = 0
d θ ( 1 , 2 ) = d θ ( 2 , 1 ) = 80 , d θ ( 1 , 3 ) = d θ ( 3 , 1 ) = 1000 , d θ ( 2 , 3 ) = d θ ( 3 , 2 ) = 600
Proof. 
( d θ 1 ) and ( d θ 2 ) trivially hold. For ( d θ 3 ) we have:
d θ ( 1 , 2 ) = 80 , θ ( 1 , 2 ) d θ ( 1 , 3 ) + d θ ( 3 , 2 ) = 4 ( 1000 + 600 ) = 6400
d θ ( 1 , 3 ) = 1000 , θ ( 1 , 3 ) d θ ( 1 , 2 ) + d θ ( 2 , 3 ) = 5 ( 80 + 600 ) = 3400
Similar calculations hold for d θ ( 2 , 3 ) . Hence for all x , y , z X
d θ ( x , z ) θ ( x , z ) [ d θ ( x , y ) + d θ ( y , z ) ]
Hence ( X , d θ ) is an extended b-metric space. ☐
Example 3.
Let X = C ( [ a , b ] , R ) be the space of all continuous real valued functions define on [ a , b ] . Note that X is complete extended b-metric space by considering d θ ( x , y ) = sup t [ a , b ] | x ( t ) y ( t ) | 2 , with θ ( x , y ) = | x ( t ) | + | y ( t ) | + 2 , where θ : X × X [ 1 , ) .
The concepts of convergence, Cauchy sequence and completeness can easily be extended to the case of an extended b-metric space.
Definition 4.
Let ( X , d θ ) be an extended b-metric space.
(i) 
A sequence { x n } in X is said to converge to x X , if for every ϵ > 0 there exists N = N ( ϵ ) N such that d θ ( x n , x ) < ϵ , for all n N . In this case, we write lim n x n = x .
(ii) 
A sequence { x n } in X is said to be Cauchy, if for every ϵ > 0 there exists N = N ( ϵ ) N such that d θ ( x m , x n ) < ϵ , for all m , n N .
Definition 5.
An extended b-metric space ( X , d θ ) is complete if every Cauchy sequence in X is convergent.
Note that, in general a b-metric is not a continuous functional and thus so is an extended b-metric.
Example 4.
Let X = N and let d : X × X R be defined by [14]:
d ( x , y ) = 0 i f m = n | 1 m 1 n | i f m , n a r e e v e n o r m n = 5 i f m , n a r e o d d a n d m n 2 o t h e r w i s e
Then ( X , d ) is a b-metric with s = 3 but it is not continuous.
Lemma 1.
Let ( X , d θ ) be an extended b-metric space. If d θ is continuous, then every convergent sequence has a unique limit.
Our first theorem is an analogue of Banach contraction principle in the setting of extended b-metric space. Throughout this section, for the mapping T : X X and x 0 X , O ( x 0 ) = { x 0 , T 2 x 0 , T 3 x 0 , } represents the orbit of x 0 .
Theorem 2.
Let ( X , d θ ) be a complete extended b-metric space such that d θ is a continuous functional. Let T : X X satisfy:
d θ ( T x , T y ) k d θ ( x , y ) f o r a l l x , y X
where k [ 0 , 1 ) be such that for each x 0 X , lim n , m θ ( x n , x m ) < 1 k , here x n = T n x 0 , n = 1 , 2 , . Then T has precisely one fixed point ξ. Moreover for each y X , T n y ξ .
Proof. 
We choose any x 0 X be arbitrary, define the iterative sequence { x n } by:
x 0 , T x 0 = x 1 , x 2 = T x 1 = T ( T x 0 ) = T 2 ( x 0 ) , x n = T n x 0 .
Then by successively applying inequality (1) we obtain:
d θ ( x n , x n + 1 ) k n d θ ( x 0 , x 1 )
By triangular inequality and (2), for m > n we have:
d θ ( x n , x m ) θ ( x n , x m ) k n d θ ( x 0 , x 1 ) + θ ( x n , x m ) θ ( x n + 1 , x m ) k n + 1 d θ ( x 0 , x 1 ) + + θ ( x n , x m ) θ ( x n + 1 , x m ) θ ( x n + 2 , x m ) . . . θ ( x m 2 , x m ) θ ( x m 1 , x m ) k m 1 d θ ( x 0 , x 1 ) d θ ( x 0 , x 1 ) [ θ ( x 1 , x m ) θ ( x 2 , x m ) θ ( x n 1 , x m ) θ ( x n , x m ) k n + θ ( x 1 , x m ) θ ( x 2 , x m ) θ ( x n , x m ) θ ( x n + 1 , x m ) k n + 1 + + θ ( x 1 , x m ) θ ( x 2 , x m ) θ ( x n , x m ) θ ( x n + 1 , x m ) . . . θ ( x m 2 , x m ) θ ( x m 1 , x m ) k m 1 ]
Since, lim n , m θ ( x n + 1 , x m ) k < 1 so that the series n = 1 k n i = 1 n θ ( x i , x m ) converges by ratio test for each m N . Let:
S = n = 1 k n i = 1 n θ ( x i , x m ) , S n = j = 1 n k j i = 1 j θ ( x i , x m )
Thus for m > n above inequality implies:
d θ ( x n , x m ) d θ ( x 0 , x 1 ) S m 1 S n
Letting n we conclude that { x n } is a Cauchy sequence. Since X is complete let x n ξ X :
d θ ( T ξ , ξ ) θ ( T ξ , ξ ) [ d θ ( T ξ , x n ) + d θ ( x n , ξ ) ] θ ( T ξ , ξ ) [ k d θ ( ξ , x n 1 ) + d θ ( x n , ξ ) ] d θ ( T ξ , ξ ) 0 a s n d θ ( T ξ , ξ ) = 0
Hence ξ is a fixed point of T. Moreover uniqueness can easily be invoked by using inequality (1), since k < 1 . ☐
In the following we include another variant which is analogue to fixed point theorem by Hicks and Rhoades [15]. We need the following definition.
Definition 6.
Let T : X X and for some x 0 X , O ( x 0 ) = { x 0 , f x 0 , f 2 x 0 , } be the orbit of x 0 . A function G from X into the set of real numbers is said to be T-orbitally lower semi-continuous at t X if { x n } O ( x 0 ) and x n t implies G ( t ) lim n inf G ( x n ) .
Theorem 3.
Let ( X , d θ ) be a complete extended b-metric space such that d θ is a continuous functional. Let T : X X and there exists x 0 X such that:
d θ ( T y , T 2 y ) k d θ ( y , T y ) f o r e a c h y O ( x 0 )
where k [ 0 , 1 ) be such that for x 0 X , lim n , m θ ( x n , x m ) < 1 k , here x n = T n x 0 , n = 1 , 2 , . Then T n x 0 ξ X ( a s n ) . Furthermore ξ is a fixed point of T if and only if G ( x ) = d ( x , T x ) is T-orbitally lower semi continuous at ξ.
Proof. 
For x 0 X we define the iterative sequence { x n } by:
x 0 , T x 0 = x 1 , x 2 = T x 1 = T ( T x 0 ) = T 2 ( x 0 ) , x n = T n x 0 .
Now for y = T x 0 by successively applying inequality (3) we obtain:
d θ ( T n x 0 , T n + 1 x 0 ) = d θ ( x n , x n + 1 ) k n d θ ( x 0 , x 1 )
Following the same procedure as in the proof of Theorem 2 we conclude that { x n } is a Cauchy sequence. Since X is complete then x n = T n x 0 ξ X . Assume that G is orbitally lower semi continuous at ξ X , then:
d θ ( ξ , T ξ ) lim inf  n d θ ( T n x 0 , T n + 1 x 0 )
lim inf  n k n d θ ( x 0 , x 1 ) = 0
Conversely, let ξ = T ξ and x n O ( x ) with x n ξ . Then:
G ( ξ ) = d ( ξ , T ξ ) = 0 lim inf  n G ( x n ) = d ( T n x 0 , T n + 1 x 0 )
 ☐
Remark 2.
When θ ( x , y ) = 1 a constant function then Theorem 3 reduces to main result of Hicks and Rhoades ([15] (Theorem 1)). Hence Theorem 3 extends/generalizes ([15] (Theorem 1) ).
Example 5.
Let X = [ 0 , ) . Define d θ ( x , y ) : X × X R + and θ : X × X [ 1 , ) as:
d θ ( x , y ) = ( x y ) 2 , θ ( x , y ) = x + y + 2
Then d θ is a complete extended b-metric on X. Define T : X X by T x = x 2 . We have:
d θ ( T x , T y ) = x 2 y 2 2 1 3 ( x y ) 2 = k d θ ( x , y )
Note that for each x X , T n x = x 2 n . Thus we obtain:
lim m , n θ ( T m x , T n x ) = lim m , n x 2 m + x 2 n + 2 < 3
Therefore, all conditions of Theorem 3 are satisfied hence T has a unique fixed point.
Example 6.
Let X = [ 0 , 1 4 ] . Define d θ ( x , y ) : X × X R + and θ : X × X [ 1 , ) as:
d θ ( x , y ) = ( x y ) 2 , θ ( x , y ) = x + y + 2
Then d θ is a complete extended b-metric on X. Define T : X X by T x = x 2 . We have:
d θ ( T x , T y ) 1 4 d θ ( x , y )
Note that for each x X , T n x = x 2 n . Thus we obtain:
lim m , n θ ( T m x , T n x ) < 4
Therefore, all conditions of Theorem 3 are satisfied hence T has a unique fixed point.

3. Application

In this section, we give existence theorem for Fredholm integral equation. Let X = C ( [ a , b ] , R ) be the space of all continuous real valued functions define on [ a , b ] . Note that X is complete extended b-metric space by considering d θ ( x , y ) = sup t [ a , b ] | x ( t ) y ( t ) | 2 , with θ ( x , y ) = | x ( t ) | + | y ( t ) | + 2 , where θ : X × X [ 1 , ) . Consider the Fredholm integral equation as:
x ( t ) = a b M ( t , s , x ( s ) ) d s + g ( t ) , t , s [ a , b ]
where g : [ a , b ] R and M : [ a , b ] × [ a , b ] × R R are continuous functions. Let T : X X the operator given by:
T x ( t ) = a b M ( t , s , x ( s ) ) d s + g ( t ) for t , s [ a , b ]
where, the function g : [ a , b ] R and M : [ a , b ] × [ a , b ] × R R are continuous. Further, assume that the following condition hold:
| M ( t , s , x ( s ) ) M ( t , s , T x ( s ) ) | 1 2 | x ( s ) T x ( s ) | for each t , s [ a , b ] and x X
Then the integral Equation (8) has a solution.
We have to show that the operator T satisfies all the conditions of Theorem 3. For any x X we have:
| T x ( t ) T ( T x ( t ) ) | 2 a b | M ( t , s , x ( s ) ) M ( t , s , T x ( s ) ) | d s 2 1 4 d θ ( x , T x )
All conditions of Theorem 3 follows by the hypothesis. Therefore, the operator T has a fixed point, that is, the Fredholm integral Equation (8) has a solution.

Author Contributions

All authors contributed equally to the main text.

Conflicts of Interest

The authors declare no conflict of interest.

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