1 Introduction and preliminaries

Over the last 50 years or so the theory of fixed points has been revealed as a very powerful and important tool in the study of nonlinear phenomena. In particular, fixed point techniques have been applied in such diverse fields as biology, chemistry, economics, engineering, game theory, and physics. In the past years, the extension of metric fixed point theory to generalized structures such as cone metrics, partial metric spaces and quasi-metric spaces has received much attention (see, for instance, [16] and the references therein). A partial metric space is a generalized metric space in which each object does not necessarily has to have a zero distance from itself [7]. One motivation for introducing the concept of a partial metric was to obtain appropriate mathematical models in the theory of computation and, in particular, to give a modified version of the Banach contraction principle, more suitable in this context [7, 8]. Subsequently, several authors have studied the problem of existence and uniqueness of a fixed point for mappings satisfying different contractive conditions (see, e.g., [919]).

Recently, it was shown that, in some cases, fixed point results in partial metric spaces can be obtained directly from their induced metric counterparts [2022]. However, some important conclusions in the application of partial metrics to information sciences cannot be obtained in this way. For example, if x is a fixed point of a map f, then, by using the method from [20], we cannot conclude that p(fx,fx)=0=p(x,x). For further details we refer the reader to [23] and [24].

The aim of this paper is to study the existence of a common fixed point for two pairs of mappings which satisfy the (E.A)-property in the framework of partial metric spaces. Our results do not require the maps to be commuting or continuous. We will also give an example to show that the conclusion of our results cannot be derived by employing an induced metric.

In the sequel, ℝ, R + , and ℕ denote the set of all real numbers, the set of all nonnegative real numbers and the set of all positive integers, respectively. The usual order on ℝ will be indistinctly denoted by ≤ or by ≥.

Consistent with [7] and [25], the following definitions and results will be needed in the sequel.

Definition 1.1 Let X be a nonempty set. A function p:X×X R + is said to be a partial metric on X if, for any x,y,zX, the following conditions hold:

(P1) p(x,x)=p(y,y)=p(x,y) if and only if x=y;

(P2) p(x,x)p(x,y);

(P3) p(x,y)=p(y,x);

(P4) p(x,z)p(x,y)+p(y,z)p(y,y).

The pair (X,p) is then called a partial metric space.

If p(x,y)=0, then (P1)-(P3) imply that x=y, but the converse does not always hold.

A trivial example of a partial metric space is the pair ( R + ,p), where p: R + × R + R + is defined by p(x,y)=max{x,y}.

Example 1.2 [7]

If X={[a,b]:a,bR,ab}, then p([a,b],[c,d])=max{b,d}min{a,c} defines a partial metric p on X.

For more examples of partial metric spaces, we refer the reader to [14, 16, 17, 2528].

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):xX,ε>0}, where B p (x,ε)={yX:p(x,y)<p(x,x)+ε}, for all xX and ε>0.

Definition 1.3 [7]

A sequence { x n } in a partial metric space (X,p) is said to be a Cauchy sequence if lim n , m p( x n , x m ) exists and is finite.

It is well known that (see [[7], p.187]) a sequence { x n } in a partial metric space (X,p) converges to a point xX, 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 function p S :X×X R + , given by p S (x,y)=2p(x,y)p(x,x)p(y,y), defines a metric on X.

A sequence { x n } converges in (X, p S ) to a point xX if and only if

lim n , m p( x n , x m )= lim n p( x n ,x)=p(x,x).
(1.1)

This will be denoted as x n x as n or lim n x n =x. Clearly, the limit of a sequence in a partial metric space need not be unique. Moreover, contrary to the case of an ordinary metric d, a partial metric p need not be continuous, in the sense that x n x and y n y as n does not imply that p( x n , y n )p(x,y) as n.

A partial metric space (X,p) is said to be complete if every Cauchy sequence { x n } in X converges, with respect to τ p , to a point xX such that lim n p(x, x n )=p(x,x). In this case we say that the partial metric p is complete.

The following example shows that a convergent sequence in a partial metric space may not be Cauchy. In particular, it shows that the limit of a convergent sequence is not unique.

Example 1.4 [7]

Let p: R + × R + R + be a partial metric defined as p(x,y)=max{x,y}. Define a sequence { x n } as

x n = { 0 if  n = 2 k , 1 if  n = 2 k + 1 .

Then { x n } is a convergent sequence but lim n , m p( x n , x m ) does not exist.

Lemma 1.5 [25]

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

  1. (a)

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

  2. (b)

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

If fx=gx for some x in X, then x is called the coincidence point of f and g. Furthermore, if the mappings commute at each coincidence point, then such mappings are called weakly compatible [29].

Sessa [30] introduced the notion of the weak commutativity of mappings in metric spaces.

Definition 1.6 Let X be a partial metric space. Mappings f,g:XX are called (i) compatible if, whenever a sequence { x n } in X is such that {f x n } and {g x n } are convergent to some tX, then lim n p(fg x n ,gf x n )=p(t,t), and (ii) noncompatible if there exists at least one sequence { x n } in X such that {f x n } and {g x n } are convergent to some tX, but lim n p(fg x n ,gf x n ) does not exist.

In 2002, Aamri and Moutaawakil [31] introduced the (E.A)-property and obtained common fixed points for two mappings. Recently, Babu and Negash [32] employed this concept to obtain some new common fixed point results (see also [33] and [34]).

Definition 1.7 Let X be a partial metric space. Selfmaps f and g on X are said to satisfy the (E.A)-property if there exists a sequence { x n } in X such that {f x n } and {g x n } are convergent to some tX and p(t,t)=0.

Example 1.8 Let X=[0,4] be a partial metric space with

p(x,y)= { | x y | if  x , y [ 0 , 2 ] , max { x , y } otherwise .

Let f,g:XX be defined by

fx= { 2 x , x [ 0 , 1 ] , 2 x 2 , x ( 1 , 2 ] , 0 , x ( 2 , 4 ] , |

and

gx= { 3 x 2 , x [ 0 , 1 ] , x 2 , x ( 1 , 4 ] . |

For a decreasing sequence { x n } in X such that x n 1, g x n 1 2 , f x n 1 2 , gf x n = 4 + x n 4 5 4 and fg x n = 4 x n 2 3 2 . So f and g are noncompatible. Note that there exists a sequence { x n } in X such that lim n f x n = lim n g x n =1X. Take x n =1 for each nN. Hence f and g satisfy the (E.A)-property.

Let f,g,S,T:XX be mappings. In our results, we assume that for every sequence { y n } in X, one of the following conditions holds:

  1. (a)

    {g y n } is bounded in the case (f,S) satisfies the (E.A)-property,

  2. (b)

    {f y n } is bounded in the case (g,T) satisfies (E.A)-property.

The following is an example where above assumption does not hold.

Example 1.9 Let X= R + be a partial metric space with p(x,y)=max{x,y} and f,g,S,T:XX be mappings defined by

f ( x ) = 0 , g ( x ) = 1 + x 2 , S ( x ) = x 2 , T ( x ) = { 0 if  x = 0 , 1 4 otherwise .

Note that we have fXTX and gXSX with only the pair (f,S) satisfying the (E.A)-property. If y n =n, then the sequence {g y n } is unbounded. Also note that the pairs (f,S) and (g,T) are weakly compatible. Here f, g, S and T do not have a common fixed point.

Definition 1.10 The control functions ψ and ϕ are defined as

  1. (a)

    ψ,ϕ:[0,)[0,) are functions, where ψ is a continuous nondecreasing and ϕ is a lower semicontinuous with ψ(t)=ϕ(t)=0 if and only if t=0,

  2. (b)

    ψ and ϕ satisfy

    ψ(t)+ϕ(s)ψ(s),

for all s,t[0,) with ts.

2 Common fixed point theorems

In this section some common fixed point results for two pairs of mappings satisfying certain contractive conditions in the framework of a partial metric space, are obtained. We start with the following result.

Theorem 2.1 Let X be a partial metric space and f,g,S,T:XX be mappings with fXTX and gXSX such that

ψ ( p ( f x , g y ) ) ψ ( M ( x , y ) ) ϕ ( M ( x , y ) )
(2.1)

is satisfied for all x,yX, where ψ and ϕ are control functions and

M(x,y)=max { p ( S x , T y ) , p ( f x , S x ) , p ( T y , g y ) , [ p ( f x , T y ) + p ( S x , g y ) ] / 2 } .
(2.1A)

Suppose that one of the pairs (f,S) and (g,T) satisfies the (E.A)-property, and that one of the subspaces f(X), g(X), S(X), T(X) is closed in X. If, for every sequence { y n } in X, one of the following conditions holds:

  1. (a)

    {g y n } is bounded in the case (f,S) satisfies the (E.A)-property, or

  2. (b)

    {f y n } is bounded in the case (g,T) satisfies the (E.A)-property,

then the pairs (f,S) and (g,T) have a common point of coincidence in X. Moreover, if the pairs (f,S) and (g,T) are weakly compatible, then f, g, S and T have a unique common fixed point.

Proof If the pair (f,S) satisfies the (E.A)-property, then there exists a sequence { x n } in X satisfying lim n f x n = lim n S x n =q for some qX. As fXTX, there exists a sequence { y n } in X such that f x n =T y n . As {g y n } is bounded, lim sup n p(f x n ,g y n ) and lim sup n p(S x n ,g y n ) are finite numbers. Note that

|p(f x n ,g y n )p(S x n ,g y n )|p(f x n ,S x n ).

Since p(f x n ,S x n )0 as n, lim sup n p(f x n ,g y n )= lim sup n p(S x n ,g y n ). Indeed, using the fact that lim sup n p(f x n ,g y n )= lim sup n p(S x n ,g y n )=l0, we obtain subsequences { x n k } and { y n k } such that p(S x n k ,g y n k ) and p(f x n k ,g y n k ) are convergent to l. Assume that l>0. Replacing x by x n k and y by y n k in (2.1A), we have

M ( x n k , y n k ) = max { p ( S x n k , f x n k ) , p ( f x n k , S x n k ) , p ( f x n k , g y n k ) , [ p ( f x n k , f x n k ) + p ( S x n k , g y n k ) ] / 2 } ,

which, on taking the limit as k, implies that

lim n M( x n k , y n k )=max { p ( q , q ) , p ( q , q ) , l , l / 2 } =l.
(2.2)

From (2.1) we obtain

ψ ( p ( f x n k , g y n k ) ) ψ ( M ( x n k , y n k ) ) ϕ ( M ( x n k , y n k ) )
(2.3)

which, on taking the upper limit of both sides, gives

ψ(l)ψ(l)ϕ(l)<ψ(l),

a contradiction. Therefore l=0. Hence lim n p(f x n ,g y n )= lim n p(S x n ,g y n )=0 and so lim n g y n =q.

If T(X) is a closed subspace of X, then there exists an r in X such that q=Tr. From (2.1) we have

ψ ( p ( f x n , g r ) ) ψ ( M ( x n , r ) ) ϕ ( M ( x n , r ) ) ,
(2.4)

where

M ( x n , r ) = max { p ( S x n , T r ) , p ( f x n , S x n ) , p ( T r , g r ) , [ p ( f x n , T r ) + p ( S x n , g r ) ] / 2 } = max { p ( S x n , q ) , p ( f x n , S x n ) , p ( q , g r ) , [ p ( f x n , q ) + p ( S x n , g r ) ] / 2 } .

Using (P2), we obtain

lim sup n M ( x n , r ) = max { p ( q , q ) , p ( q , q ) , p ( q , g r ) , [ p ( q , q ) + p ( q , g r ) ] / 2 } = p ( q , g r ) .
(2.5)

Hence

ψ ( p ( q , g r ) ) ψ ( p ( q , g r ) ) ϕ ( p ( q , g r ) ) ,

and ϕ(p(q,gr))0 give gr=q, and r is a coincidence point of the pair (g,T). As g(X)S(X), there exists a point u in X such that q=Su. We claim that Su=fu. Using (2.1), we have

ψ ( p ( f u , g r ) ) ψ ( M ( u , r ) ) ϕ ( M ( u , r ) ) ,
(2.6)

where

M ( u , r ) = max { p ( S u , T r ) , p ( f u , S u ) , p ( T r , g r ) , [ p ( f u , T r ) + p ( S u , g r ) ] / 2 } = max { p ( S u , S u ) , p ( f u , S u ) , p ( S u , S u ) , [ p ( f u , S u ) + p ( S u , S u ) ] / 2 } = p ( f u , S u ) .
(2.7)

Hence

ψ ( p ( f u , S u ) ) ψ ( p ( f u , S u ) ) ϕ ( p ( f u , S u ) )

implies that ϕ(p(fu,Su))0. Therefore fu=Su, u is a coincidence point of pair the (f,S). Thus fu=Su=Tr=gr=q. Now, the weakly compatibility of the pairs (f,S) and (g,T) gives fq=Sq and Tq=gq. From (2.1), we have

ψ ( p ( f q , q ) ) =ψ ( p ( f q , g r ) ) ψ ( M ( q , r ) ) ϕ ( M ( q , r ) ) ,
(2.8)

where

M ( q , r ) = max { p ( S q , T r ) , p ( f q , S q ) , p ( T r , g r ) , [ p ( f q , T r ) + p ( S q , g r ) ] / 2 } = max { p ( f q , q ) , p ( f q , f q ) , p ( q , q ) , [ p ( f q , q ) + p ( f q , q ) ] / 2 } = p ( f q , q ) .
(2.9)

From (2.8), we obtain

ψ ( p ( f q , q ) ) ψ ( p ( f q , q ) ) ϕ ( p ( f q , q ) ) ,

and so ϕ(p(fq,q))0. Therefore fq=Sq=q. Similarly, it can be shown that gq=q. Therefore gq=Tq=q. To prove the uniqueness of q, suppose that fp=gp=Sp=Tp=p. From (2.1), we have

ψ ( p ( q , r ) ) =ψ ( p ( f q , g r ) ) ψ ( M ( q , r ) ) ϕ ( M ( q , r ) ) ,
(2.10)

where

M ( q , r ) = max { p ( S q , T r ) , p ( f q , S q ) , p ( T p , g r ) , [ p ( f q , T r ) + p ( S q , g r ) ] / 2 } = max { p ( q , r ) , p ( q , q ) , p ( q , q ) , [ p ( q , r ) + p ( q , r ) ] / 2 } = p ( q , r ) .

Thus, from (2.10), we obtain

ψ ( p ( q , r ) ) ψ ( p ( q , r ) ) ϕ ( p ( q , r ) ) ,

which implies that ϕ(p(q,r))0 and so q=r. □

Example 2.2 Let X={0,1,2} be a set with partial metric defined by

Let f,g,S,T:XX be defined by

Clearly, f(X)T(X) and g(X)S(X) and the pairs (f,S) and (g,T) are weakly compatible. Also the pair (f,S) satisfies the (E.A)-property; indeed, x n =0 for each nN is the required sequence. Note that the pair (g,T) does not commute at 2. The control functions ψ,ϕ:[0,)[0,) are defined by

ψ(t)=3tandϕ(t)= { t / 4 , if  t [ 0 , 4 ] , e 4 t 2 , if  t > 4 .

To check the contractive condition (2.1) for all x,yX, we consider the following cases.

Note that for cases (I) x=y=0, (II) x=0, y=1, (III) x=1, y=0, (IV) x=1, y=1, (V) x=2, y=0, and (VI) x=2, y=1, we have p(fx,gy)=0, and hence (2.1) is obviously satisfied.

  1. (VII)

    If x=0, y=2, then fx=0, gy=1, Sx=0, Ty=2. We have

    ψ ( p ( f x , g y ) ) = 3 p ( 0 , 1 ) = 3 < 11 4 ( 3 ) = 11 4 p ( 0 , 2 ) = 11 4 p ( S x , T y ) 11 4 M ( x , y ) = ψ ( M ( x , y ) ) ϕ ( M ( x , y ) ) .
  2. (VIII)

    If x=1, y=2, then fx=0, gy=1, Sx=2, Ty=2. We have

    ψ ( p ( f x , g y ) ) = 3 p ( 0 , 1 ) = 3 < 11 8 ( 3 + 2 ) = 11 4 [ p ( 0 , 2 ) + p ( 2 , 1 ) ] / 2 = 11 4 [ p ( f x , T y ) + p ( S x , g y ) ] / 2 11 4 M ( x , y ) = ψ ( M ( x , y ) ) ϕ ( M ( x , y ) ) .
  3. (IX)

    Now when x=2, y=2, then fx=0, gy=1, Sx=1, Ty=2.

    ψ ( p ( f x , g y ) ) = 3 p ( 0 , 1 ) = 3 < 11 4 ( 2 ) = 11 4 p ( 1 , 2 ) = 11 4 p ( S x , T y ) 11 4 M ( x , y ) = ψ ( M ( x , y ) ) ϕ ( M ( x , y ) ) .

Hence all of the conditions of Theorem 2.1 are satisfied. Moreover, 0 is the unique common fixed point of f, g, S and T.

The next example shows that one cannot derive the conclusion of Theorem 2.1 by using a metric induced by a partial metric.

Example 2.3 Let X= R + be a partial metric space with p(x,y)=max{x,y} and f,g,S,T:XX be defined as f(x)=0, g(x)= 8 9 x, Sx= 3 2 x and Tx= 4 3 x. Note that f(X)T(X), g(X)S(X) with the pair (f,S) satisfies the (E.A)-property. The control functions ψ,ϕ:[0,)[0,) are defined by

ψ(t)=4tandϕ(t)= t 8 .

To check the contractive condition (2.1) for all x,yX, we consider the following cases.

If xy, then we have

ψ ( p ( f x , g y ) ) = 4 ( 8 9 y ) 31 8 ( 4 3 y ) = 31 8 p ( T y , g y ) 31 8 M ( x , y ) = ψ ( M ( x , y ) ) ϕ ( M ( x , y ) ) .

Also, for x>y,

ψ ( p ( f x , g y ) ) = 4 ( 8 9 y ) 31 8 ( 3 2 x ) = 31 8 p ( f x , S x ) 31 8 M ( x , y ) = ψ ( M ( x , y ) ) ϕ ( M ( x , y ) ) .

Hence (2.1) is satisfied for all x,yX. The pairs (f,S) and (g,T) are weakly compatible and f, g, S and T have a unique common fixed point.

On the other hand, we have p S (x,y)=|xy|. If we take x=0.5 and y=1, then we have p S (fx,gy)= 8 9 , p S (Sx,Ty)= 7 12 , p S (fx,Sx)= 3 4 , p S (gy,Ty)= 4 9 and [ p S ( f x , T y ) + p S ( S x , g y ) ] 2 = 53 72 . Thus

ψ ( p ( f x , g y ) ) = 4 ( 8 9 ) 31 8 ( 3 4 ) = 31 8 p ( f x , S x ) = 31 8 M ( x , y ) = ψ ( M ( x , y ) ) ϕ ( M ( x , y ) ) .

As any two compatible or noncompatible selfmappings on a partial metric space X satisfy the (E.A)-property, the above result remains true if any one of the pair of mappings is either compatible or noncompatible.

The above theorem is true for any choice of control functions. For example if we take ψ(t)=t and ϕ(t)=(1γ)t for γ[0,1) in Theorem 2.1, we have the following corollary.

Corollary 2.4 Let X be a partial metric space and f,g,S,T:XX be mappings with f(X)T(X) and g(X)S(X), such that

p ( f x , g y ) γ max { p ( S x , T y ) , p ( f x , S x ) , p ( T y , g y ) , [ p ( f x , T y ) + p ( S x , g y ) ] / 2 }
(2.11)

holds for all x,yX, where γ[0,1). Suppose that one of the pairs (f,S) and (g,T) satisfies the (E.A)-property and one of the subspaces f(X), g(X), S(X), T(X) is closed in X. If, for every sequence { y n } in X, one of the following conditions holds:

  1. (a)

    {g y n } is bounded in the case (f,S) satisfies the (E.A)-property,

  2. (b)

    {f y n } is bounded in the case (g,T) satisfies the (E.A)-property,

then the pairs (f,S) and (g,T) have a point of coincidence in X. Moreover, if the pairs (f,S) and (g,T) are weakly compatible, then f, g, S and T have a unique common fixed point.

If we take f=g and S=T with ψ(t)=t for all tR in Theorem 2.1, we obtain the following corollary which extends Theorem 3.1 of [32] to a partial metric space.

Corollary 2.5 Let X be a partial metric space and f,S:XX be mappings with fXSX such that

p(fx,fy)M(x,y)ϕ ( M ( x , y ) )

holds for all x,yX, where ϕ is a control function and

M(x,y)=max { p ( S x , S y ) , p ( f x , S x ) , p ( S y , f y ) , [ p ( f x , S y ) + p ( S x , f y ) ] / 2 } .

Suppose that the pair (f,S) satisfies the (E.A)-property and that one of the subspaces f(X), S(X), is closed in X. Then the pair (f,S) has a common point of coincidence in X. Moreover, if the pair (f,S) is weakly compatible, then f and S have a unique common fixed point.

3 Well-posedness

The notion of well-posedness of a fixed point problem has evoked much interest of several mathematicians (see [3537]).

Definition 3.1 Let X be a partial metric space and f:XX be a mapping. The fixed point problem of f is said to be well-posed if:

  1. (a)

    f has a unique fixed point z in X,

  2. (b)

    for any sequence { x n } of points in X such that lim n p(f x n , x n )=0, we have lim n p( x n ,z)=0.

Definition 3.2 Let X be a partial metric space and Σ be a set of mappings on X. A common fixed point problem CF(Σ) is said to be well-posed if:

  1. (a)

    zX is the unique common fixed point of all mappings in Σ,

  2. (b)

    for any sequence { x n } of points in X, such that lim n p(f x n , x n )=0 for each fΣ, we have lim n p( x n ,z)=0.

Theorem 3.3 Let X be a partial metric space and f,g,S,T:XX be mappings such that

p(fx,gy)p(Sx,Ty)ψ ( M ( x , y ) )
(3.1)

holds for all x,yX, where ψ is a control function and

M(x,y)=max { p ( S x , T y ) , p ( f x , S x ) , p ( T y , g y ) , [ p ( f x , T y ) + p ( S x , g y ) ] / 2 } .

Suppose that one of the pairs (f,S) and (g,T) satisfies the (E.A)-property and that one of the subspace f(X), g(X), S(X), T(X) is closed in X. If, for every sequence { y n } in X, one of the following conditions holds.

  1. (a)

    {g y n } is bounded in the case (f,S) satisfies the (E.A)-property,

  2. (b)

    {f y n } is bounded in the case (g,T) satisfies the (E.A)-property.

If the pairs (f,S) and (g,T) are weakly compatible, then CF({f,g,S,T}) is well-posed.

Proof From Theorem 2.1 the mappings f,g,S,T:XX have a unique common fixed point (say) z in X. Let { x n } be a sequence in X such that

lim n p(f x n , x n )= lim n p(g x n , x n )= lim n p(S x n , x n )= lim n p(T x n , x n )=0.
(3.2)

Using (3.1) we have

p ( z , x n ) p ( f z , g x n ) + p ( g x n , x n ) p ( g x n , g x n ) p ( S z , T x n ) ψ ( M ( z , x n ) ) + p ( g x n x n ) p ( z , x n ) + p ( x n , T x n ) ψ ( [ p ( f z , T x n ) + p ( g x n , S z ) ] / 2 ) + p ( g x n , x n ) ,

which further implies that

ψ ( [ p ( z , T x n ) + p ( x n , z ) ] / 2 ) p ( x n , T x n ) + p ( g x n , x n ) 2 p ( T x n , x n ) + p ( g x n , x n ) .

On taking the limit as n we obtain

lim n ψ ( [ p ( z , T x n ) + p ( x n , z ) ] / 2 ) =0,

and by the property of ψ, we have

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

The result then follows. □