1 Introduction and preliminaries

In 1994, Matthews [1] introduced the concept of partial metric spaces as a part of the study of denotational semantics of dataflow networks and showed that the Banach contraction principle can be generalized to the partial metric context for applications in program verification.

We start by recalling some basic definitions and properties of partial metric spaces (see [1, 2] for more details).

A partial metric on a non-empty set X is a function p:XX[0,) such that for all x,y,zX, we have

  • (P1) p(x,x)=p(y,y)=p(x,y)?x=y;

  • (P2) p(x,x)=p(x,y);

  • (P3) p(x,y)=p(y,x);

  • (P4) p(x,y)=p(x,z)+p(z,y)-p(z,z).

A partial metric space is a pair (X,p) such that X is a non-empty set and p is a partial metric on X. It is clear that, if p(x,y)=0, then from (P1) and (P2), x=y; but if x=y, p(x,y) may not be 0. A basic example of a partial metric space is the pair ([0,),p), where p(x,y)=max{x,y}. Other examples of partial metric spaces which are interesting from a computational point of view may be found in [1].

Each partial metric p on X generates a T 0 topology τ p on X which has as a base the family of open p-balls { B p (x,ε):xX,ε>0}, where

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

Let (X,p) be a partial metric space. A sequence { x n }X converges to some xX with respect to p if and only if

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

A sequence { x n }X is said to be a Cauchy sequence if and only if lim m , n p( x n , x m ) exists and is finite. The partial metric space (X,p) is said to be complete if and only if every Cauchy sequence { x n } in X converges to some xX such that lim n , m p( x n , x m )=p(x,x).

If p is a partial metric on X, then the function d p :XX[0,) defined by

d p (x,y)=2p(x,y)p(x,x)p(y,y),(x,y) X 2
(1)

is a metric on X.

Lemma 1.1 Let (X,p) be a partial metric space. Then

  1. (i)

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

  2. (ii)

    the partial metric space (X,p) is complete if and only if the metric space (X, d p ) is complete.

Recently, many works on fixed point theory in the partial metric context have been published. For more details, we refer to [222]. On the other hand, Haghi et al. [10] observed that some fixed point theorems for certain classes of operators can be deuced easily from the same theorems in metric spaces. The idea presented in [10] is interesting, however it cannot be applied for a large class of operators, as, for example, in the case of an implicit contraction.

In [23], Rus presented three interesting open problems in the context of a complete partial metric space (X,p).

Problem 1. If T:(X,p)(X,p) is an operator satisfying a certain contractive condition with respect to p, which condition satisfies T with respect to the metric d p defined by (1)?

Problem 2. The problem is to give fixed point theorems for these new classes of operators on a metric space.

Problem 3. Use the results for the above problems to give fixed point theorems in a partial metric space.

In [18], Samet answered to the above problems by considering Boyd-Wong contraction mappings. Other types of contractions were considered in [11, 19].

In this paper, we introduce the concept of a φ-fixed point, and we establish some φ-fixed point results for various classes of operators defined on a metric space (X,d). The obtained results are then used to obtain some fixed point theorems, in the case where X is endowed with a partial metric p.

2 φ-Fixed point results

Let (X,d) be a metric space, φ:X[0,) be a given function, and T:XX be an operator.

We denote by

T 0 := 1 X , T 1 :=T, T n + 1 :=T T n ,nN

the iterate operators of T. The set of all fixed points of the operator T will be denoted by

F T :={xX:Tx=x}.

The set of all zeros of the function φ will be denoted by

Z φ := { x X : φ ( x ) = 0 } .

We introduce the notion of φ-fixed point as follows.

Definition 2.1 An element zX is said to be a φ-fixed point of the operator T if and only if z F T Z φ .

Definition 2.2 We say that the operator T is a φ-Picard operator if and only if

  1. (i)

    F T Z φ ={z};

  2. (ii)

    T n xz as n, for each xX.

Definition 2.3 We say that the operator T is a weakly φ-Picard operator if and only if

  1. (i)

    F T Z φ ;

  2. (ii)

    the sequence { T n x} converges for each xX, and the limit is a φ-fixed point of T.

We denote by ℱ the set of functions F: [ 0 , ) 3 [0,) satisfying the following conditions:

  • max{a,b}F(a,b,c), for all a,b,c[0,);

  • F(0,0,0)=0;

  • F is continuous.

As examples, the following functions belong to ℱ:

  1. (i)

    F(a,b,c)=a+b+c;

  2. (ii)

    F(a,b,c)=max{a,b}+c;

  3. (iii)

    F(a,b,c)=a+ a 2 +b+c.

In this section, we study the existence and uniqueness of φ-fixed points for various classes of operators.

2.1 (F,φ)-Contraction mappings

Definition 2.4 Let (X,d) be a metric space, φ:X[0,) be a given function, and FF. We say that the operator T:XX is an (F,φ)-contraction with respect to the metric d if and only if

F ( d ( T x , T y ) , φ ( T x ) , φ ( T y ) ) kF ( d ( x , y ) , φ ( x ) , φ ( y ) ) ,(x,y) X 2 ,
(2)

for some constant k(0,1).

Our first main result is the following.

Theorem 2.1 Let (X,d) be a complete metric space, φ:X[0,) be a given function, and FF. Suppose that the following conditions hold:

(H1) φ is lower semi-continuous;

(H2) T:XX is an (F,φ)-contraction with respect to the metric d.

Then

  1. (i)

    F T Z φ ;

  2. (ii)

    T is a φ-Picard operator;

  3. (iii)

    for all xX, for all nN, we have

    d ( T n x , z ) k n 1 k F ( d ( T x , x ) , φ ( T x ) , φ ( x ) ) ,

where {z}= F T Z φ = F T .

Proof Suppose that ξX is a fixed point of T. Applying (2) with x=y=ξ, we obtain

F ( 0 , φ ( ξ ) , φ ( ξ ) ) kF ( 0 , φ ( ξ ) , φ ( ξ ) ) ,

which implies (since k(0,1)) that

F ( 0 , φ ( ξ ) , φ ( ξ ) ) =0.
(3)

On the other hand, from (F1), we have

φ(ξ)F ( 0 , φ ( ξ ) , φ ( ξ ) ) .
(4)

Using (3) and (4), we obtain φ(ξ)=0, which proves (i).

Let xX be an arbitrary point. Using (2), we have

F ( d ( T n + 1 x , T n x ) , φ ( T n + 1 x ) , φ ( T n x ) ) k F ( d ( T n x , T n 1 x ) , φ ( T n x ) , φ ( T n 1 x ) ) , n N .

By induction, we obtain easily

F ( d ( T n + 1 x , T n x ) , φ ( T n + 1 x ) , φ ( T n x ) ) k n F ( d ( T x , x ) , φ ( T x ) , φ ( x ) ) ,nN{0},

which implies by property (F1) that

max { d ( T n + 1 x , T n x ) , φ ( T n + 1 x ) } k n F ( d ( T x , x ) , φ ( T x ) , φ ( x ) ) ,nN{0}.
(5)

From (5), we have

d ( T n + 1 x , T n x ) k n F ( d ( T x , x ) , φ ( T x ) , φ ( x ) ) ,nN{0},

which implies (since k(0,1)) that { T n x} is a Cauchy sequence. Since (X,d) is complete, there is some zX such that

lim n d ( T n x , z ) =0.
(6)

Now, we shall prove that z is a φ-fixed point of T. Observe that from (5), we have

lim n φ ( T n + 1 x ) =0.
(7)

Since φ is lower semi-continuous, from (6) and (7), we obtain

φ(z)=0.
(8)

Using (2), we have

F ( d ( T n + 1 x , T z ) , φ ( T n + 1 x ) , φ ( T z ) ) kF ( d ( T n x , z ) , φ ( T n x ) , φ ( z ) ) ,nN{0}.

Letting n in the above inequality, using (6), (7), (8), (F2), and the continuity of F, we get

F ( d ( z , T z ) , 0 , φ ( T z ) ) kF(0,0,0)=0,

which implies from condition (F1) that

d(z,Tz)=0.
(9)

It follows from (8) and (9) that z is a φ-fixed point of T.

Suppose now that z X is another φ-fixed point of T. Applying (2) with x=z and y= z , we obtain

F ( d ( z , z ) , 0 , 0 ) kF ( d ( z , z ) , 0 , 0 ) ,

which implies that d(z, z )=0, that is, z= z . So we get (ii).

Finally, using (5) and the triangle inequality, we get

d ( T n x , T n + m x ) k n ( 1 k m ) 1 k F ( d ( T x , x ) , φ ( T x ) , φ ( x ) ) ,n,mN{0}.

Letting m in the above inequality, from (6), we obtain

d ( T n x , z ) k n 1 k F ( d ( T x , x ) , φ ( T x ) , φ ( x ) ) ,nN{0},

which proves (iii). □

2.2 Graphic (F,φ)-contraction mappings

Definition 2.5 Let (X,d) be a metric space, φ:X[0,) be a given function, and FF. We say that the operator T:XX is a graphic (F,φ)-contraction with respect to the metric d if and only if

F ( d ( T 2 x , T x ) , φ ( T 2 x ) , φ ( T x ) ) kF ( d ( T x , x ) , φ ( T x ) , φ ( x ) ) ,xX,
(10)

for some constant k(0,1).

Theorem 2.2 Let (X,d) be a complete metric space, φ:X[0,) be a given function, and FF. Suppose that the following conditions hold:

(H1) φ is lower semi-continuous;

(H2) T:XX is a graphic (F,φ)-contraction with respect to the metric d;

(H3) T is continuous.

Then

  1. (i)

    F T Z φ ;

  2. (ii)

    T is a weakly φ-Picard operator;

  3. (iii)

    for all xX, if T n xz as n, then

    d ( T n x , z ) k n 1 k F ( d ( T x , x ) , φ ( T x ) , φ ( x ) ) ,nN.

Proof Suppose that ξX is a fixed point of T. Applying (10) with x=ξ, we obtain

F ( 0 , φ ( ξ ) , φ ( ξ ) ) kF ( 0 , φ ( ξ ) , φ ( ξ ) ) ,

which implies (since k(0,1)) that

F ( 0 , φ ( ξ ) , φ ( ξ ) ) =0.
(11)

On the other hand, from (F1), we have

φ(ξ)F ( 0 , φ ( ξ ) , φ ( ξ ) ) .
(12)

Using (11) and (12), we obtain φ(ξ)=0, which proves (i).

Let xX be an arbitrary point. Using (10), we have

F ( d ( T n + 1 x , T n x ) , φ ( T n + 1 x ) , φ ( T n x ) ) k F ( d ( T n x , T n 1 x ) , φ ( T n x ) , φ ( T n 1 x ) ) , n N .

By induction, we obtain easily

F ( d ( T n + 1 x , T n x ) , φ ( T n + 1 x ) , φ ( T n x ) ) k n F ( d ( T x , x ) , φ ( T x ) , φ ( x ) ) ,nN{0},

which implies by property (F1) that

max { d ( T n + 1 x , T n x ) , φ ( T n + 1 x ) } k n F ( d ( T x , x ) , φ ( T x ) , φ ( x ) ) ,nN{0}.
(13)

From (13), we have

d ( T n + 1 x , T n x ) k n F ( d ( T x , x ) , φ ( T x ) , φ ( x ) ) ,nN{0},

which implies that { T n x} is a Cauchy sequence. Since (X,d) is complete, there is some zX such that

lim n d ( T n x , z ) =0.
(14)

Now, we shall prove that z is a φ-fixed point of T. Observe that from (13), we have

lim n φ ( T n + 1 x ) =0.
(15)

Since φ is lower semi-continuous, from (14) and (15), we obtain φ(z)=0. On the other hand, using the continuity of T and (14), we get z=Tz. Then z is a φ-fixed point of T. So T is a weakly φ-Picard operator.

Finally, the proof of (iii) follows by using similar arguments as in the proof of (iii), Theorem 2.1. □

2.3 (F,φ)-Weak contraction mappings

Definition 2.6 Let (X,d) be a metric space, φ:X[0,) be a given function, and FF. We say that the operator T:XX is an (F,φ)-weak contraction with respect to the metric d if and only if

F ( d ( T x , T y ) , φ ( T x ) , φ ( T y ) ) k F ( d ( x , y ) , φ ( x ) , φ ( y ) ) + L ( F ( d ( y , T x ) , φ ( y ) , φ ( T x ) ) F ( 0 , φ ( y ) , φ ( T x ) ) ) ,
(16)

for all (x,y) X 2 , for some constants k(0,1) and L0.

For this class of operators, we have the following result.

Theorem 2.3 Let (X,d) be a complete metric space, φ:X[0,) be a given function, and FF. Suppose that the following conditions hold:

(H1) φ is lower semi-continuous;

(H2) T:XX is an (F,φ)-weak contraction with respect to the metric d.

Then

  1. (i)

    F T Z φ ;

  2. (ii)

    T is a weakly φ-Picard operator;

  3. (iii)

    for all xX, if T n xz as n, then

    d ( T n x , z ) k n 1 k F ( d ( x , T x ) , φ ( x ) , φ ( T x ) ) ,nN.

Proof Let ξX be a fixed point of T. Applying (16) with x=y=ξ, we get

F ( 0 , φ ( ξ ) , φ ( ξ ) ) k F ( 0 , φ ( ξ ) , φ ( ξ ) ) + L ( F ( 0 , φ ( ξ ) , φ ( ξ ) ) F ( 0 , φ ( ξ ) , φ ( ξ ) ) ) = k F ( 0 , φ ( ξ ) , φ ( ξ ) ) ,

which implies that F(0,φ(ξ),φ(ξ))=0. Using property (F1), we obtain φ(ξ)=0, that is, ξ Z φ . Then (i) is proved.

Let xX be an arbitrary point. Applying (16), we obtain

F ( d ( T n x , T n + 1 x ) , φ ( T n x ) , φ ( T n + 1 x ) ) k F ( d ( T n 1 x , T n x ) , φ ( T n 1 x ) , φ ( T n x ) ) + L ( F ( 0 , φ ( T n x ) , φ ( T n x ) ) F ( 0 , φ ( T n x ) , φ ( T n x ) ) ) = k F ( d ( T n 1 x , T n x ) , φ ( T n 1 x ) , φ ( T n x ) ) , n N .

By induction, we get

F ( d ( T n x , T n + 1 x ) , φ ( T n x ) , φ ( T n + 1 x ) ) k n F ( d ( x , T x ) , φ ( x ) , φ ( T x ) ) ,n0.

The rest of the proof follows using similar arguments to the proof of Theorem 2.2. □

3 Links with partial metric spaces

From the previous obtained results in metric spaces, we deduce in this section some fixed point theorems in partial metric spaces; see also [21].

We start by the Matthews fixed point theorem [1].

Corollary 3.1 Let (X,p) be a complete partial metric space and let T:XX be a mapping such that

p(Tx,Ty)kp(x,y),(x,y) X 2 ,

for some constant k(0,1). Then T has a unique fixed point zX. Moreover, we have p(z,z)=0.

Proof Consider the metric d p on X defined by (1) and the function φ:X[0,) defined by φ(x)=p(x,x). Applying Theorem 2.1 with F(a,b,c)=a+b+c, and using Lemma 1.1, we obtain the desired result. □

Similarly, from Theorem 2.2, we obtain the following result.

Corollary 3.2 Let (X,p) be a complete partial metric space and let T:XX be a mapping such that

p ( T 2 x , T x ) kp(Tx,x),xX,

for some constant k(0,1). Then T has a fixed point zX. Moreover, we have p(z,z)=0.

Finally, from Theorem 2.3, we obtain the following result.

Corollary 3.3 Let (X,p) be a complete partial metric space and let T:XX be a mapping such that

p(Tx,Ty)kp(x,y)+L ( p ( y , T x ) p ( y , y ) + p ( T x , T x ) 2 ) ,(x,y) X 2 ,

for some constants k(0,1) and L0. Then T has a fixed point zX. Moreover, we have p(z,z)=0.

Observe that if p is a metric on X, we obtain from Corollary 3.3 the Berinde fixed point theorem for (k,L)-weak contractions [24].