Introduction

Partial metric spaces were introduced by Matthews in [20] as a part of the study of denotational semantics of dataflow networks. These spaces are a generalization of usual metric spaces where the self distance for any point need not be equal to zero.

Let us recall that a partial metric on a set X is a function p : X × X [ 0 , ) such that for all x , y , z X : (1) x = y p ( x , x ) = p ( x , y ) = p ( y , y ) ( T 0 -separation axiom), (2) p ( x , x ) p ( x , y ) (small self-distance axiom), (3) p ( x , y ) = p ( y , x ) (symmetry), (4) p ( x , y ) p ( x , z ) + p ( z , y ) - p ( z , z ) (modified triangular inequality).

A partial metric space (for short PMS) is a pair ( X , p ) such that X is a nonempty set and p is a partial metric on X.

It is clear that, if p ( x , y ) = 0 , then x = y . But if x = y , p ( x , y ) may not be 0 .

At this point it seems interesting to remark the fact that partial metric spaces play an important role in constructing models in the theory of computation (see for instance [1517], etc).

Example 1

Let X = [ 0 , ) and p ( x , y ) = max { x , y } for all x , y X . Then ( X , p ) is a PMS.

Example 2

Let I denote the set of all intervals [ a , b ] for some real numbers a b . Let p : I × I [ 0 , ) be the function such that p ( [ a , b ] , [ c , d ] ) = max { b , d } - min { a , c } . Then ( I , p ) is a PMS.

Example 3

Let X = R and p ( x , y ) = e max { x , y } for all x , y X . Then ( X , p ) is a PMS.

Other examples of partial metric spaces may be found in [16, 18, 20, 22], etc.

Each partial metric p on X generates a T 0 topology τ p on X which has as a base the family open p-balls

{ B p ( x , ε ) : x X , ε > 0 } ,

where

B p ( x , ε ) = { y X : p ( x , y ) < p ( x , x ) + ε } ,

for all x X and ε > 0 .

Observe that a sequence { x n } in a PMS ( X , p ) , converges to a point x X , with respect to τ p , if and only if p ( x , x ) = lim n p ( x , x n ) .

If p is a partial metric on X, then the functions p s , p w : X × X R + : = [ 0 , ) , given by

p s ( x , y ) = 2 p ( x , y ) - p ( x , x ) - p ( y , y )

and

p w ( x , y ) = max { p ( x , y ) - p ( x , x ) , p ( x , y ) - p ( y , y ) } = p ( x , y ) - min { p ( x , x ) , p ( y , y ) }

are ordinary metrics on X. It is easy to see that p s and p w are equivalent metrics on X.

According to [20], a sequence { x n } in a PMS ( X , p ) converges, with respect to τ p s , to a point x X if and only if

lim n , m p ( x n , x m ) = lim n p ( x n , x ) = p ( x , x ) .

A sequence { x n } in a PMS ( X , p ) is called a Cauchy sequence if lim n , m p ( x n , x m ) exists (and is finite). ( X , p ) is called complete if every Cauchy sequence { x n } n ω in X converges, with respect to τ p , to a point x X such that p ( x , x ) = lim n , m p ( x n , x m ) .

Finally, the following crucial facts are shown in [20]:

  1. 1.

    { x n } is a Cauchy sequence in ( X , p ) if and only if it is a Cauchy sequence in the metric space ( X , p s ) .

  2. 2.

    ( X , p ) is complete if and only if ( X , p s ) is complete.

Matthews obtained, among other results, a partial metric version of the Banach fixed point theorem ([20, Theorem 5.3]) as follows.

Theorem 1

([20]) Let ( X , p ) be a complete partial metric space and let T : X X be a contraction mapping, that is, there exists λ [ 0 , 1 ) such that

p ( T x , T y ) λ p ( x , y )

for all x , y X . Then T has a unique fixed point z X . Moreover, p ( z , z ) = 0 .

Later on, Abdeljawad et al. [1], Acar et al. [2, 3], Altun et al. [68], Karapinar and Erhan [19], Oltra and Valero [21] and Valero [27], gave some generalizations of the result of Matthews. Also, Ćirić et al. [14], Samet et al. [25] and Shatanawi et al. [26] proved some common fixed point results in partial metric spaces. The best two generalizations of it were given by Romaguera [23, 24].

Theorem 2

Let ( X , p ) be a complete partial metric space and let T : X X be a map such that

p ( T x , T y ) φ ( M ( x , y ) )
(1.1)

for all x , y X , where

M ( x , y ) = max p ( x , y ) , p ( x , T x ) , p ( y , T y ) , 1 2 [ p ( x , T y ) + p ( y , T x ) ]

and φ satisfies one of the following:

  1. 1.

    φ : [ 0 , ) [ 0 , ) is [23] an upper semicontinuous from the right such that φ ( t ) < t for all t > 0 ,

  2. 2.

    φ : [ 0 , ) [ 0 , ) is a [24] nondecreasing function such that φ n ( t ) 0 as n for all t > 0 .

Then T has a unique fixed point z X . Moreover, p ( z , z ) = 0 .

In [22], Romaguera defined the 0 -complete PMS as follows: A sequence { x n } in a PMS ( X , p ) is called 0 -Cauchy if

lim m , n p ( x n , x m ) = 0

and ( X , p ) is called 0 -complete if every 0 -Cauchy sequence in X converges, with respect to τ p , to a point z X such that p ( z , z ) = 0 . It is clear that every complete PMS is 0 -complete, but as it was shown in [22] the converse is not true.

On the other hand Berinde [911] defined weak contraction (or ( δ , L ) -weak contraction) mappings in a metric space as follows.

Definition 1

Let ( X , d ) be a metric space and T : X X be a self operator. T is said to be a weak contraction (or ( δ , L ) -weak contraction) if there exists a constant δ 0 , 1 and some L 0 such that

d ( T x , T y ) δ d ( x , y ) + L d ( y , T x )
(1.2)

for all x , y X .

Note that, by the symmetry property of the distance, the weak contraction condition implicitly includes the following dual one

d ( T x , T y ) δ d ( x , y ) + L d ( x , T y )
(1.3)

for all x , y X . So, in order to check the weak contractiveness of a mapping T, it is necessary to check both (1.2) and (1.3).

In [9] and [11], Berinde showed that any Banach, Kannan, Chatterjea and Zamfirescu mappings are weak contraction. Using the concept of weak contraction mappings, Berinde [9] proved that if T is a ( δ , L ) -weak contraction self mapping of a complete metric space X, then T has a fixed point. Also, Berinde shows that any ( δ , L ) -weak contraction mapping is a Picard operator. Then, Berinde [12] introduced the nonlinear type weak contraction using a comparison function and proved the following fixed point theorem. A map φ : R + R + , where R + = [ 0 , ) , is called comparison function if it satisfies:

  1. 1.

    φ is monotone increasing,

  2. 2.

    lim n φ n ( t ) = 0 for all t R + .

If φ satisfies (1) and

  1. 3.

    n = 0 φ n ( t ) converges for all t R + ,

then φ is said to be ( c ) -comparison function.

It is clear that ( c ) -comparison function implies comparison function, but the converse may not be true. We can find some properties and examples of comparison and ( c ) -comparison functions in [11].

Definition 2

Let ( X , d ) be a metric space and T : X X is a self operator. T be said to be a weak φ-contraction (or ( φ , L ) -weak contraction) if there exists a comparison function φ and some L 0 such that

d ( T x , T y ) φ ( d ( x , y ) ) + L d ( y , T x )
(1.4)

for all x , y X .

Similar to the case of weak contraction, in order to check the weak φ-contractiveness of a mapping T, it is necessary to check both (1.4) and

d ( T x , T y ) φ ( d ( x , y ) ) + L d ( x , T y )
(1.5)

for all x , y X .

Clearly any weak contraction is a weak φ-contraction, but the converse may not be true. Also the class of weak φ-contractions includes Matkowski type nonlinear contractions.

Theorem 3

Let ( X , d ) be a complete metric space and T : X X be ( φ , L ) -weak contraction with φ is ( c ) -comparison function. Then T has a fixed point.

Let ( X , d ) be a metric space and T : X X be a map such that

d ( T x , T y ) α M d ( x , y ) + L d ( y , T x )

for all x , y X , where α [ 0 , 1 ) , L 0 ,

M d ( x , y ) = max d ( x , y ) , d ( x , T x ) , d ( y , T y ) , 1 2 [ d ( x , T y ) + p ( y , T x ) ] .

Then T is called Ciric type strong almost contraction [13].

In light of the above information, Altun and Acar [5] introduced the concepts of weak and weak φ-contractions in the sense of Berinde on partial metric space, showed that any Banach, Kannan, Chatterjea and Zamfirescu mappings are weak contraction and proved some fixed point theorems in this interesting space.

Let ( X , p ) be a partial metric space. A map T : X X is called ( φ , L ) -weak contraction if there exists a comparison function φ and some L 0 such that

p ( T x , T y ) φ p ( x , y ) + L p w ( y , T x )
(1.6)

for all x , y X .

As above, because of the symmetry of the distance, the ( φ , L ) -weak contraction condition implicitly includes the following dual one

p ( T x , T y ) φ p ( x , y ) + L p w ( x , T y )
(1.7)

for all x , y X . Consequently, in order to check the ( φ , L ) -weak contractiveness of T, it is necessary to check both (1.6) and (1.7).

Theorem 4

Let ( X , p ) be a 0 -complete partial metric space and T : X X be ( φ , L ) weak contraction with a ( c ) -comparison function. Then T has a fixed point.

Later, Acar et al generalized Theorem 4 to Ciric type strong almost contractions and they proved the following results.

Theorem 5

Let ( X , p ) be a 0 -complete partial metric space and T : X X be a map such that

p ( T x , T y ) φ ( M ( x , y ) ) + L p w ( y , T x )

for all x , y X , where L 0 , φ is a ( c ) -comparison function and M ( x , y ) as in Theorem 2.

Then T has a fixed point in X.

Theorem 6

Let ( X , p ) be a 0 -complete partial metric space and T : X X be a map such that

p ( T x , T y ) φ ( M ( x , y ) ) + L p w ( y , T x )

for all x , y X , where L 0 , M ( x , y ) as in Theorem 2 and φ : [ 0 , ) [ 0 , ) is an upper semicontinuous from the right function such that φ ( t ) < t for all t > 0 .

Then T has a fixed point in X.

The purpose of this paper is to present a generalization of Theorem 5 which has as a particular case mappings satisfying an integral type almost contraction condition.

Main results

Let F be the class of functions defined by

F = { ϕ : [ 0 , ) [ 0 , ) : ϕ is \,continuous \,and \,non\,decreasing } .

Some examples of functions belonging to F are: ϕ ( t ) = k t with k ( 0 , ) , ϕ ( t ) = t 1 + t , ϕ ( t ) = ln ( 1 + t ) and ϕ ( t ) = arctan t .

Our main result is the following.

Theorem 7

Let ( X , p ) be a 0 -complete partial metric space and T : X X be a mapping satisfying

ϕ p ( T x , T y ) ϕ φ ( M ( x , y ) ) + L p w ( y , T x )
(2.1)

for all x , y X , where L 0 , M ( x , y ) is defined as in Theorem 2, ϕ F and φ is a ( c ) -comparison function.

Then T has a fixed point z in X such that p ( z , z ) = 0 .

Proof

We take x 0 X and consider x n = T x n - 1 = T n x 0 for any n N . If x n = x n + 1 for some n N , then x n is a fixed point of T and the proof is finished. Suppose that x n x n + 1 for any n N .

Since

1 2 [ p ( x n + 1 , x n + 1 ) + p ( x n , x n + 2 ) ] 1 2 [ p ( x n , x n + 1 ) + p ( x n + 1 , x n + 2 ) ] max { p ( x n , x n + 1 ) , p ( x n + 1 , x n + 2 ) } ,

then we have

M ( x n , x n + 1 ) = max { p ( x n , x n + 1 ) , p ( x n , x n + 1 ) , p ( x n + 1 , x n + 2 ) , 1 2 [ p ( x n + 1 , x n + 1 ) + p ( x n , x n + 2 ) ] } = max { p ( x n , x n + 1 ) , p ( x n + 1 , x n + 2 ) } .

Applying the contractive condition (2.1) we have

ϕ p ( x n + 1 , x n + 2 ) = ϕ p ( T x n , T x n + 1 ) ϕ φ ( M ( x n , x n + 1 ) ) + L p w ( x n + 1 , x n + 1 ) = ϕ φ ( M ( x n , x n + 1 ) )
(2.2)

If M ( x n , x n + 1 ) = p ( x n + 1 , x n + 2 ) for some n N , then from (2.2) we obtain,

ϕ p ( x n + 1 , x n + 2 ) ϕ φ ( p ( x n + 1 , x n + 2 ) )

and, since ϕ is nondecreasing,

p ( x n + 1 , x n + 2 ) φ ( p ( x n + 1 , x n + 2 ) ) < p ( x n + 1 , x n + 2 )

which is a contradiction. Therefore M ( x n , x n + 1 ) = p ( x n , x n + 1 ) for all n N . From (2.2), we get

ϕ p ( x n + 1 , x n + 2 ) ϕ φ ( p ( x n , x n + 1 ) )

and, since ϕ is nondecreasing,

p ( x n + 1 , x n + 2 ) φ ( p ( x n , x n + 1 ) ) .

By using mathematical induction, we obtain

p ( x n + 1 , x n + 2 ) φ n + 1 p ( x 0 , x 1 ) .

for all n N . By triangle rule, for m > n , we have

p ( x n , x m ) k = n m - 1 p ( x k , x k + 1 ) - k = n m - 2 p ( x k + 1 , x k + 1 ) k = n m - 1 p ( x k , x k + 1 ) k = n p ( x k , x k + 1 ) k = n φ k p ( x 0 , x 1 ) .

Since φ is a ( c ) -comparison function, then k = 0 φ k p ( x 0 , x 1 ) is convergent and so x n is a 0 -Cauchy sequence in X. Since X is 0 -complete, x n converges, with respect to τ p , to a point z X such that

lim n p ( x n , z ) = p ( z , z ) = 0 .

Now we claim that p ( z , T z ) = 0 . Suppose on contrary p ( z , T z ) > 0 . As ϕ is a ( c ) -comparison function, ϕ ( t ) < t for t > 0 , As lim n p ( x n + 1 , x n ) = 0 and lim n p ( x n , z ) = 0 , there exists n 0 N such that for n > n 0 ,

p ( x n + 1 , x n ) < 1 3 p ( z , T z )
(2.3)

and there exists n 1 N such that for n > n 1 ,

p ( x n , z ) < 1 3 p ( z , T z ) .
(2.4)

If we take n > max { n 0 , n 1 } then, by (2.3), (2.4) and triangular inequality, we have

1 2 [ p ( x n , T z ) + p ( z , T x n ) ] 1 2 [ p ( x n , z ) + p ( z , T z ) - p ( z , z ) + p ( z , T x n ) ] 1 2 1 3 p ( z , T z ) + p ( z , T z ) + 1 3 p ( z , T z ) = 5 6 p ( z , T z ) .
(2.5)

Now for n > max { n 0 , n 1 } , then, by (2.3), (2.4) and (2.5), we have

ϕ p ( x n + 1 , T z ) = ϕ p ( T x n , T z ) ϕ φ ( M ( x n , z ) + L p w ( z , x n + 1 ) = ϕ φ ( p ( z , T z ) ) + L p w ( z , x n + 1 ) .

Letting n in the last inequality, we have ϕ p ( z , T z ) ϕ φ ( p ( z , T z ) ) and since ϕ is nondecreasing p ( z , T z ) φ ( p ( z , T z ) ) < p ( z , T z ) which is a contradiction. Therefore p ( T z , z ) = 0 and z = T z .

We can obtain the following corollaries from our main theorem.

Corollary 1

Theorem 4.

Proof

Consider ϕ = I [ 0 , ) identity mapping in Theorem 7.

Notice that if f : [ 0 , ) [ 0 , ) is a Lebesgue-integrable mapping then the function defined by

ϕ ( t ) = 0 t f ( s ) d s for t [ 0 , ) ,

belongs to F. Therefore we can obtain the following corollary.

Corollary 2

Let ( X , p ) be a 0 -complete partial metric space and T : X X be a mapping satisfying

0 p ( T x , T y ) f ( s ) d s 0 φ ( M ( x , y ) ) f ( s ) d s + L p w ( y , T x )

for all x , y X , where L 0 , M ( x , y ) as in Theorem 2, φ is a ( c ) -comparison function and f : [ 0 , ) [ 0 , ) is a Lebesgue-integrable mapping.

Then T has a fixed point in X.

Now we give an illustrative example.

Example 4

Let X = A B , where A = { 0 } { 1 n : n { 1 , 2 , } } , B = { 2 , 3 , 4 , } and

p ( x , y ) = max x , y , x y 0 , x = y .

Then ( X , p ) is a partial metric space and it is also 0 -complete. Define T : X X by

T x = x 3 , x A 1 x , x B .

We show that the contractive condition (2.1) of Theorem 7 is satisfied for ϕ ( t ) = t , φ ( t ) = t 2 and L = 2 .

Now consider the following cases.

Case 1. If x = y , then p ( T x , T y ) = 0 and so the result is clear. Therefore we will assume x y in the following cases.

Case 2. Let x , y A . Then (note that if x = 1 or y = 1 then inf { y - x 3 : x , y A with x y } = 1 2 . If x 1 and y 1 , then x 3 1 2 x )

p ( T x , T y ) = max { x 3 , y 3 } 1 2 max { x , y } + 2 | y - x 3 | = 1 2 p ( x , y ) + 2 p w ( y , T x ) = φ ( M ( x , y ) ) + L p w ( y , T x ) .

Case 3. Let x , y B . Then

p ( T x , T y ) = max 1 x , 1 y = 1 min { x , y } 1 2 max { x , y } = 1 2 p ( x , y ) φ ( M ( x , y ) ) + L p w ( y , T x ) .

Case 4. Let x A and y B . Then

p ( T x , T y ) = max x 3 , 1 y 1 2 y = 1 2 p ( x , y ) φ ( M ( x , y ) ) + L p w ( y , T x ) .

Case 5. Let x B and y A . This case is similar to Case 4.

Hence, all conditions of Theorem 7 are satisfied. Therefore T has a fixed point in X.

Note that p ( T 0 , T 1 ) = 1 = M ( 0 , 1 ) , then the condition of (1.1) is not satisfied, because we can not find a function φ satisfying

p ( T 0 , T 1 ) = 1 φ ( M ( 0 , 1 ) ) = φ ( 1 )

and the condition (1) or (2) of Theorem 2. Therefore Theorem 2 is not applicable to this example.

In the above, we show that if T is a generalized almost contraction then it has a fixed point. But in order to guarantee the uniqueness of the fixed point of T, we have to consider an additional condition, as in the following theorem.

Theorem 8

Let ( X , p ) be a 0 -complete partial metric space and T : X X be a map such that (2.1) holds. Suppose T also satisfies the following condition: there exists a comparison function φ 1 , some L 1 0 and ϕ 1 F with ϕ 1 ( t ) > 0 for t > 0 such that

ϕ 1 p ( T x , T y ) ϕ 1 φ 1 M ( x , y ) + L 1 p w ( x , T x )
(2.6)

holds, for all x , y X . Then T has a unique fixed point in X.

Proof

Suppose that, there are two fixed points z and w of T. If p ( z , w ) = 0 , it is clear that z = w . Assume that p ( z , w ) > 0 . By (2.6) with x = z and y = w , we have

0 < ϕ 1 p ( z , w ) = ϕ 1 p ( T z , T w ) ϕ 1 φ 1 M ( z , w ) + L 1 p w ( z , T z ) = ϕ 1 φ 1 M ( z , w ) = ϕ 1 φ 1 p ( z , w )

since ϕ is nondecreasing

0 < p ( z , w ) φ 1 p ( z , w ) < p ( z , w )

which is a contradiction. Therefore T has a unique fixed point.