Introduction

Fixed point theory is one of the famous and traditional theories in mathematics and has a large number of applications. The Banach contraction map** is one of the pivotal results of analysis. It is very popular tool for solving existence problems in many different fields of mathematics. There are a lot of generalizations of the Banach contraction principle in the literature. Ran and Reurings [1] extended the Banach contraction principle in partially ordered sets with some applications to linear and nonlinear matrix equations. While Nieto and Rodŕiguez-López [2] extended the result of Ran and Reurings and applied their main theorems to obtain a unique solution for a first-order ordinary differential equation with periodic boundary conditions. Bhaskar and Lakshmikantham [3] introduced the concept of mixed monotone map**s and obtained some coupled fixed point results. Also, they applied their results on a first-order differential equation with periodic boundary conditions. On the other hand, Mustafa and Sims [4] introduced G-metric space which is a generalization of metric spaces in which every triplet of the elements is assigned to a non-negative real number. Recently, many researchers have obtained fixed point, common fixed point, coupled fixed point and coupled common fixed point results on metric spaces, G-metric spaces, partially ordered metric spaces, and partially ordered G-metric spaces (see e.g. [13, 520] and references cited therein). The purpose of this paper is to establish some coupled coincidence point results in partially ordered G-metric spaces for a pair of map**s having mixed g-monotone property. Also, we present a result on the existence and uniqueness of coupled common fixed points. We supply appropriate examples to make obvious the validity of the propositions of our results.

Preliminaries

In the sequel, R, R + , and N denote the set of real numbers, the set of nonnegative real numbers, and the set of positive integers, respectively.

Definition 2.1

(See [21]). Let X be a non-empty set, and G:X×X×X R + be a function satisfying the following properties:

(G1) G(x,y,z)=0 if x=y=z;

(G2) 0<G(x,x,y) for all x,yX with xy;

(G3) G(x,x,y)≤G(x,y,z) for all x,y,zX with yz;

(G4) G(x,y,z)=G(x,z,y)=G(y,z,x)=… (symmetry in all three variables);

(G5) G(x,y,z)≤G(x,a,a)+G(a,y,z) for all x,y,z,aX (rectangle inequality).

Then, the function G is called a generalized metric, or more specially, a G-metric on X and the pair (X,G) is called a G-metric space.

It can be easily verified that every G-metric on X induces a metric d G on X given by

d G ( x , y ) = G ( x , y , y ) + G ( y , x , x ) ,

for all x,yX.

Trivial examples of G-metric are as follows:

Example 2.2

Let (X,d) be a metric space. The function G:X×X×X R + defined by

G ( x , y , z ) = max { d ( x , y ) , d ( y , z ) , d ( z , x ) } ,

or

G ( x , y , z ) = d ( x , y ) + d ( y , z ) + d ( z , x ) ,

for all x,y,zX, is a G-metric on X

The concepts of convergence, continuity, completeness, and Cauchy sequence have also been defined in [21].

Definition 2.3

(See [21]). Let (X,G) be a G-metric space, and let {x n } be a sequence of points of X. We say that {x n } is G-convergent to xX if l i m(n,m)→G(x,x n ,x m )=0, that is, for any ε>0, there exists NN such that G(x,x n ,x m )<ε, for all n,mN. We call x the limit of the sequence and write x n x as n or limn x n =x.

It has been shown in [21] that the G-metric induces a Hausdorff topology, and the convergence described in the above definition is relative to this topology. So, a sequence can converge at the most to one point.

Proposition 2.4

(See [[21]]). Let ( X,G ) be a G -metric space. The following are equivalent:

  1. (1)

    {x n } is G -convergent to x.

  2. (2)

    G(x n ,x n ,x)→0 as n→+.

  3. (3)

    G(x n ,x,x)→0 as n→+.

  4. (4)

    G(x n ,x m ,x)→0 as n,m→+.

Definition 2.5

(See [21]). Let (X,G) be a G-metric space. A sequence {x n } is called a G-Cauchy sequence if, for any ε>0, there is NN such that G(x n ,x m ,x l )<ε for all m,n,lN, that is, G(x n ,x m ,x l )→0 as n,m,l→+.

Proposition 2.6

(See [[4]]). Let (X,G) be a G -metric space. Then, the following are equivalent:

  1. (1)

    the sequence {x n } is G -Cauchy;

  2. (2)

    for any ε>0, there exists NN such that G(x n ,x m ,x m )<ε, for all m,nN.

Proposition 2.7

(See [[21]]). Let ( X,G) be a G -metric space. A map** f: XX is G -continuous at xX if and only if it is G -sequentially continuous at x, that is, whenever {x n } is G -convergent to x, {f(x n )} is G -convergent to f(x).

Proposition 2.8

(See [[21]]). Let (X,G)be a G -metric space. Then, the function G(x,y,z) is jointly continuous in all three of its variables.

Definition 2.9

(See [21]). A G-metric space (X,G) is called G-complete if every G-Cauchy sequence is G-convergent in (X,G).

Definition 2.10

(See [14]). Let (X,G) be a G-metric space. A map** F:X×XX is said to be continuous if for any two G-convergent sequences, {x n } and {y n } converging to x and y, respectively, {F(x n ,y n )} is G-convergent to F(x,y).

Definition 2.11

Let X be a non-empty set and F:X×XX and g:XX. The map**s F and g are said to commute if F(g x,g y)=g(F(x,y)) for all x,yX.

Definition 2.12

Let (X,≼) be a partially ordered set, and F:XX. The map** F is said to be non-decreasing if for x,yX, xy implies F(x)≼F(y); non-increasing if for x,yX, xy implies F(x)≽F(y).

Definition 2.13

Let (X,≼) be a partially ordered set, and F:X×XX and g:XX. The map** F is said to have the mixed g-monotone property if F(x,y) is monotone g-non-decreasing in x and monotone g-non-increasing in y, that is, for any x,yX,

x 1 , x 2 X , g x 1 g x 2 F ( x 1 , y ) F ( x 2 , y ) ,

and

y 1 , y 2 X , g y 1 g y 2 F ( x , y 1 ) F ( x , y 2 ) .

If g is identity map** in Definition 2.13, then the map** F is said to have the mixed monotone property.

Definition 2.14

Let X be a non-empty set. An element (x,y)∈X×X is called a coupled coincidence point of the map**s F:X×XX and g:XX if F(x,y)=g x and F(y,x)=g y. If g x=x and g y=y, then (x,y)∈X×X is called a coupled common fixed point.

If g is identity map** in Definition 2.14, then (x,y)∈X×X is called a coupled fixed point.

Main results

In this section, we prove some coupled common fixed point theorems in the context of ordered G-metric spaces.

Theorem 3.1

Let (X,≼) be a partially ordered set, and G be a G -metric on X such that (X,G) is a G -metric space. Suppose that F: X×XX and g: XX are continuous such that F has the mixed g -monotone property on X such that there exist two elements x0,y0X with g(x0)≼F(x0,y0) and g(y0)≽F(y0,x0). Suppose that there exist non-negative real numbers α,β and L with α+β<1 such that

G ( F ( x , y ) , F ( u , v ) , F ( w , z ) ) αG ( gx , gu , gw ) + βG ( gy , gv , gz ) + L min { G ( F ( x , y ) , gu , gw ) , G ( F ( u , v ) , gx , gw ) , G ( F ( w , z ) , gx , gu ) , G ( F ( x , y ) , gx , gx ) , G ( F ( u , v ) , gu , gu ) , G ( F ( w , z ) , gw , gw ) }
(3.1)

for all x,y,u,v,w,zX with g xg ug w and g yg vg z, either g ug w or g vg z. Furthermore, suppose that F(X×X)⊆g(X), g(X) is a G -complete subspace of X, and g commutes with F, then there exist x,yX such that F(x,y)=g x and g y=F(y,x), that is, F and g have a coupled coincidence point (x,y)∈X×X.

Proof

Let x0,y0X be such that g x0F(x0,y0) and g y0F(y0,x0). Since F(X×X)⊆g(X), we can construct sequences {x n } and {y n } in X such that

g x n + 1 =F( x n , y n )andg y n + 1 =F( y n , x n ),n0.
(3.2)

If there exists n N such that g x n 1 =g x n and g y n 1 =g y n , then g x n 1 =F( x n 1 , y n 1 ) and g y n 1 =F( y n 1 , x n 1 ) that is a point ( x n 1 , y n 1 )X×X is a coupled coincidence point of F and g. Thus, we may assume that g xn−1g x n or g yn−1g y n for all nN.

Next, we claim that for all n≥0,

g x n g x n + 1 ,
(3.3)

and

g y n g y n + 1 .
(3.4)

We shall use the mathematical induction. Let n=0. Since g x0F(x0,y0) and g y0F(y0,x0), in view of g x1=F(x0,y0) and g y1=F(y0,x0), we have g x0g x1 and g y0g y1, that is, (3.3) and (3.4) hold for n=0. Suppose (3.3) and (3.4) hold for some n≥0. As F has the mixed g-monotone property, and g x n g xn+1 and g y n g yn+1, from (3.2), we get

g x n + 1 = F ( x n , y n ) F ( x n + 1 , y n ) F ( x n + 1 , y n + 1 ) = g x n + 2 ,
(3.5)

and

g y n + 1 = F ( y n , x n ) F ( y n + 1 , x n ) F ( y n + 1 , x n + 1 ) = g y n + 2 .
(3.6)

Now, from (3.5) and (3.6), we obtain that g xn+1g xn+2 and g yn+1g yn+2. Thus, by the mathematical induction, we conclude that (3.3) and (3.4) hold for all n≥0. Therefore,

g x 0 g x 1 g x 2 g x n g x n + 1
(3.7)

and

g y 0 g y 1 g y 2 g y n g y n + 1 .
(3.8)

Since g x n g xn−1 and g y n g yn−1, where g x n g xn−1 or g y n g yn−1 for all nN, from (3.1) and (3.2), we have

G ( g x n + 1 , g x n + 1 , g x n ) = G ( F ( x n , y n ) , F ( x n , y n ) , F ( x n 1 , y n 1 ) ) αG ( g x n , g x n , g x n 1 ) + βG ( g y n , g y n , g y n 1 ) + L min { G ( F ( x n , y n ) , g x n , g x n 1 ) , G ( F ( x n , y n ) , g x n , g x n 1 ) , G ( F ( x n 1 , y n 1 ) , g x n , g x n ) , G ( F ( x n , y n ) , g x n , g x n ) , G ( F ( x n , y n ) , g x n , g x n ) , G ( F ( x n 1 , y n 1 ) , g x n 1 , g x n 1 ) }
(3.9)

which implies that G(g xn+1,g xn+1,g x n )≤α G(g x n ,g x n , g xn−1)+β G(g y n ,g y n ,g yn−1). Similarly, we have G(g yn+1,g yn+1,g y n )≤α G(g y n ,g y n ,g yn−1)+β G(g x n , g x n ,g xn−1). Hence, G(g xn+1,g xn+1,g x n )+G(g yn+1, g yn+1,g y n )≤(α+β)(G(g x n ,g x n ,g xn−1)+G(g y n ,g y n , g yn−1)). Set {ϱ n :=G(g xn+1,g xn+1,g x n )+G(g yn+1,g yn+1, g y n )} and δ=α+β<1, we have

0 ϱ n δ ϱ n 1 δ 2 ϱ n 2 δ n ϱ 0 .

Now, we shall prove that {g x n } and {g y n } are G-Cauchy sequences. For each m>n, we have

G ( g x n , g x m , g x m ) G ( x n , x n + 1 , x n + 1 ) + G ( x n + 1 , x n + 2 , x n + 2 ) + + G ( g x m 1 , g x m , g x m )

and

G ( g y n , g y m , g y m ) G ( y n , y n + 1 , y n + 1 ) + G ( y n + 1 , y n + 2 , y n + 2 ) + + G ( g y m 1 , g y m , g y m ) .

There fore,

G ( g x n , g x m , g x m ) + G ( g y n , g y m , g y m ) ϱ n + ϱ n + 1 + + ϱ m 1 ( δ n + δ n + 1 + + δ m 1 ) ϱ 0 δ n 1 δ ϱ 0

which implies that limm,n[G(g x n ,g x m ,g x m )+G(g y n , g y m ,g y m )]=0. Therefore, {g x n } and {g y n } are G-Cauchy sequences in g(X). Since g(X) is a G-complete subspace of X, there is (x,y)∈X×X such that {g x n } and {g y n } are respectively G-convergent to x and y.

Using continuity of g, we get

lim n g ( g x n ) = g ( lim n g x n ) = gx

and

lim n g ( g y n ) = g ( lim n g y n ) = gy.

Since g xn+1=F(x n ,y n ) and g yn+1=F(y n ,x n ), hence the commutativity of F and g yields that F(g x n ,g y n )=g F(x n ,y n )=g(g xn+1) and F(g y n ,g x n )=g F(y n ,x n )=g(g yn+1).

Now, we show that F(x,y)=g x and F(y,x)=g y.

The map** F is continuous, so since the sequences {g x n } and {g y n } are respectively G-convergent to x and y; hence, using Definition 2.10, the sequence {F(g x n ,g y n )} is G-convergent to F(x,y). Therefore, {g(g xn+1)} is G-convergent to F(x,y). By uniqueness of the limit, we have F(x,y)=g x. Similarly, we can show that F(y,x)=g y. Hence, (x,y) is a coupled coincidence point of F and g. □

In the next theorem, we replace the continuity of F with the following definition:

Definition 3.2

Let (X,≼) be a partially ordered set, and G be a G-metric on X. We say that (X,G,≼) is regular if the following conditions hold:

(1) if a non-decreasing sequence {x n } is such that x n x, then x n x for all n,

(2) if a non-increasing sequence {y n } is such that y n y, then yy n for all n.

Theorem 3.3

Let (X,≼) be a partially ordered set, and G be a G-metric on X such that (X,G,≼) is regular. Suppose that F: X×XX and g:XX are self map**s on X, such that F has the mixed g -monotone property on X such that there exist two elements x0,y0X with g(x0)≼F(x0,y0) and g(y0)≽F(y0,x0). Suppose that there exist non-negative real numbers α,β and L with α+β<1 such that (3.1) satisfies for all x,y,u,v,w,zX with g xg ug w and g yg vg z, where either g ug w or g vg z. Further, suppose that F(X×X)⊆g(X), and (g(X),G) is a complete G -metric. Then, there exist x,yX such that F(x,y)=g(x) and g y=F(y,x), that is, F and g have a coupled coincidence point (x,y)∈X×X.

Proof

Following the proof of Theorem 3.1, we will get two G-Cauchy sequences {g x n } and {g y n } in the complete G-metric space (g(X),G). Then, there exist x,yX such that g x n g x and g y n g y as n. Since {g x n } is non-decreasing and {g y n } is non-increasing, using the regularity of (X,G,≼), we have g x n g x and g yg y n for all n≥0. If g x n =gx and g y n =gy for some n≥0, then gx=g x n g x n + 1 gx=g x n and gyg y n + 1 g y n =gy, which implies that

g x n = g x n + 1 = F ( x n , y n )

and

g y n = g y n + 1 = F ( y n , x n ) ,

that is, ( x n , y n ) is a coupled coincidence point of F and g. Therefore, we suppose that g x n g x or g y n g y for all n≥0. Using rectangle inequality, commutativity, and (3.1), we have

G ( g x n + 1 , g x n + 1 , F ( x , y ) ) = G ( F ( x n , y n ) , F ( x n , y n ) , F ( x , y ) ) αG ( g x n , g x n , gx ) + βG ( g y n , g y n , gy ) + L min { G ( g x n + 1 , g x n , gx ) , G ( g x n + 1 , g x n , gx ) , G ( F ( x , y ) , g x n , g x n ) , G ( g x n + 1 , g x n , gx ) , G ( g x n + 1 , g x n , gx ) , G ( F ( x , y ) , gx , gx ) } .
(3.10)

Taking n, we get G(g x,g x,F(x,y))=0 and hence g x=F(x,y). Similarly, one can show that g y=F(y,x). Thus F and g have a coupled coincidence point. □

Remark 3.1

A G-metric naturally induces a metric d G given by d G (x,y)=G(x,y,y)+G(x,x,y) [4]. From the condition that either g ug w or g vg z, the inequality (3.1) does not reduce to any metric inequality with the metric d G . Therefore, the corresponding metric space (X,d G ) results are not applicable to Theorems 3.1 and 3.3.

Taking L=0 in Theorems 3.1 and 3.3, we have the following result:

Corollary 3.4

Let (X,≼) be a partially ordered set, and G be a G -metric on X such that (X,G) is a G -metric space. Suppose that F: X×XX and g: XX are continuous self map**s on X such that F has the mixed g -monotone property on X such that there exist two elements x0,y0X with g(x0)≼F(x0,y0) and g(y0)≽F(y0,x0). Suppose that there exist non-negative real numbers α,β with α+β<1 such that

G(F(x,y),F(u,v),F(w,z))αG(gx,gu,gw)+βG(gy,gv,gz),
(3.11)

for all x,y,u,v,w,zX with g xg ug w and g yg vg z, where either g ug w or g vg z. Further, suppose F(X×X)⊆g(X), g(X) is a G -complete subspace of X and g commutes with F. Then, there exist x,yX such that F(x,y)=g x and g y=F(y,x), that is, F and g have a coupled coincidence point (x,y)∈X×X.

Corollary 3.5

Let (X,≼) be a partially ordered set, and G be a G -metric on X such that (X,G,≼) is regular. Suppose that F: X×XX and g:XX are self map**s on X such that F has the mixed g -monotone property on X such that there exist two elements x0,y0X with g(x0)≼F(x0,y0) and g(y0)≽F(y0,x0). Suppose that there exist non-negative real numbers α,β with α+β<1 such that (3.11) satisfies for all x,y,u,v,w,zX with g xg ug w and g yg vg z, where either g ug w or g vg z. Further, suppose that F(X×X)⊆g(X), and (g(X),G) is a complete G -metric, then there exist x,yX such that F(x,y)=g(x) and g y=F(y,x), that is, F and g have a coupled coincidence point (x,y)∈X×X.

Taking α=β= k 2 , where k∈[0,1) and L=0 in Theorems 3.1 and 3.3, we have the following result:

Corollary 3.6

Let (X,≼) be a partially ordered set, and G be a G -metric on X such that (X,G) is a G -metric space. Suppose that F: X×XX and g: XX are continuous such that F has the mixed g -monotone property on X such that there exist two elements x0,y0X with g(x0)≼F(x0,y0) and g(y0)≽F(y0,x0). Suppose that there exists k∈[0,1) such that

G(F(x,y),F(u,v),F(z,w)) k 2 (G(gx,gu,gw)+G(gy,gv,gz)),
(3.12)

for all x,y,u,v,w,zX with g xg ug w and g yg vg z, where either g ug w or g vg z. Further, suppose F(X×X)⊆g(X), g(X) is a G -complete subspace of X and g commutes with F, then there exist x,yX such that F(x,y)=g x and g y=F(y,x), that is, F and g have a coupled coincidence point (x,y)∈X×X.

Corollary 3.7

Let (X,≼) be a partially ordered set, and G be a G -metric on X such that (X,G,≼) is regular. Suppose that F: X×XX and g: XX are self map**s on X such that F has the mixed g -monotone property on X such that there exist two elements x0,y0X with g(x0)≼F(x0,y0) and g(y0)≽F(y0,x0). Suppose that there exists k∈[0,1) such that (3.12) satisfies for all x,y,u,v,w,zX with g xg ug w and g yg vg z, where either g ug w or g vg z. Further, suppose that F(X×X)⊆g(X), and (g(X),G) is a complete G -metric. Then, there exist x,yX such that F(x,y)=g(x) and g y=F(y,x), that is, F and g have a coupled coincidence point (x,y)∈X×X.

Remark 3.2

Corollaries 3.6 and 3.7 are generalization of the results of Choudhury and Maity [14].

Now, we shall prove the existence and uniqueness of a coupled common fixed point. Note that if (X,≼) is a partially ordered set, then we endow the product space X×X with the following partial order relation:

for ( x , y ) , ( u , v ) X × X , ( u , v ) ( x , y ) x u , y v.

Theorem 3.8

In addition to the hypotheses of Theorem 3.1, suppose that for every (x,y),(z,t)∈X×X, there exists (u,v)∈X×X such that (F(u,v),F(v,u)) is comparable to (F(x,y),F(y,x)) and (F(z,t),F(t,z)). Then, F and g have a unique coupled common fixed point, that is, there exists a unique (x,y)∈X×X such that x=g x=F(x,y) and y=g y=F(y,x).

Proof

From Theorem 3.1, the set of coupled coincidence points of F and g is non-empty. Suppose that (x,y) and (z,t) are coupled coincidence points of F and g, that is, g x=F(x,y), g y=F(y,x), g z=F(z,t), and g t=F(t,z). We shall show that g x=g z and g y=g t. By the assumption, there exists (u,v)∈X×X such that (F(u,v),F(v,u)) is comparable with (F(x,y),F(y,x)) and (F(z,t),F(t,z)). Put u0=u and v0=v, and choose u1,v1X so that g u1=F(u0,v0) and g v1=F(v0,u0). Then, similarly as in the proof of Theorem 3.1, we can inductively define sequences {g u n } and {g v n } as g un+1=F(u n ,v n ) and g vn+1=F(v n ,u n ) for all n. Further, set x0=x, y0=y, z0=z, and t0=t and on the same way define the sequences {g x n } and {g y n }, and {g z n } and {g t n }. Since (F(x,y),F(y,x))=(g x1,g y1)=(g x,g y) and (F(u,v),F(v,u))=(g u1,g v1) are comparable, then g xg u1 and g yg v1. Now, we shall show that (g x,g y) and (g u n ,g v n ) are comparable, that is, g xg u n and g yg v n for all n. Suppose that it holds for some n≥0, then by the mixed g-monotone property of F, we have g un+1=F(u n ,v n )≼F(x,y)=g x and g vn+1=F(v n ,u n )≽F(y,x)=g y. Hence, g xg u n and g yg v n hold for all n. Thus, from (3.1), we have

G ( gx , gx , g u n + 1 ) = G ( F ( x , y ) , F ( x , y ) , F ( u n , v n ) ) αG ( gx , gx , g u n ) + βG ( gy , gy , g v n ) + L min { G ( F ( x , y ) , gx , g u n ) , G ( F ( x , y ) , gx , g u n ) , G ( F ( u n , v n ) , gx , gx ) , G ( F ( x , y ) , gx , gx ) , G ( F ( x , y ) , gx , gx ) , G ( F ( u n , v n ) , g u n , g u n ) }
(3.13)

which implies that G(g x,g x,g un+1)≤α G(g x,g x,g u n )+β G(g y,g y,g v n ). Similarly, we can prove that G(g y,g y, g vn+1)≤α G(g y,g y,g v n )+β G(g x,g x,g u n ). Hence,

G ( gx , gx , g u n + 1 ) + G ( gy , g v n + 1 ) ( α + β ) [ G ( gx , gx , g u n ) + G ( gy , gy , g v n ) ] ( α + β ) 2 [ G ( gx , gx , g u n 1 ) + G ( gy , gy , g v n 1 ) ] ( α + β ) n + 1 [ G ( gx , gx , g u 0 ) + G ( gy , gyg v 0 ) ] .

On taking limit, n, we get

lim n [G(gx,gx,g u n + 1 )+G(gy,gy,g v n + 1 )]=0.
(3.14)

Thus, limn G(g x,g x,g un+1)=0 and limn G(g y,g y,g vn+1)=0. Similarly, we can prove that limn G(g z,g z,g u n )=0= limn G(g t,g t,g v n ). Hence,

gx=gzandgy=gt.
(3.15)

Since g x=F(x,y) and g y=F(y,x), by the commutativity of F and g, we have

g ( g ( x ) ) = g ( F ( x , y ) ) = F ( gx , gy ) , and g ( gy ) = g ( F ( y , x ) ) = F ( gy , gx ) .
(3.16)

Denote g x=p and g y=q. Then, g p=F(p,q) and g q=F(q,p). Thus, (p,q) is a coupled coincidence point. Then, from (3.15), with z=p and t=q, it follows that g p=g x and g q=g y, that is, g p=p and g q=q. Hence, p=g p=F(p,q) and q=g q=F(q,p). Therefore, (p,q) is a coupled common fixed point of F and g. To prove the uniqueness, assume that (r,s) is another coupled common fixed point. Then, by (3.15), we have r=g r=g p=p and s=g s=g q=q. Hence, we get the result. □

Finally, we provide some examples to illustrate our obtained Theorem 3.1.

Example 3.9

Let X=R be a set endowed with order xyxy. Let the map** G:X×X×X R + be defined by

G ( x , y , z ) = | x y | + | y z | + | z x | ,

for all x,y,zX. Then, G is a G-metric on X. Define the map** F:X×XX and g:XX by

F ( x , y ) = x 2 y 8 for all ( x , y ) X × X

and

gx = x 2 for all x X.

Then, the following properties hold:

  1. (1)

    F and g are continuous;

  2. (2)

    F has a mixed g-monotone property;

  3. (3)

    there exist x 0,y 0X with g(x 0)≼F(x 0,y 0) and g(y 0)≽F(y 0,x 0);

  4. (4)

    F satisfies condition (3.1). Indeed, we show that F satisfies condition (3.1).

For all x,y,u,v,w,zX, we have

G ( F ( x , y ) , F ( u , v ) , F ( w , z ) ) = x 2 y 8 u 2 v 8 + u 2 v 8 w 2 z 8 + w 2 z 8 x 2 y 8 1 4 x 2 u 2 + u 2 w 2 + w 2 x 2 + 2 4 y 2 v 2 + v 2 z 2 + z 2 y 2 = 1 4 G ( gx , gu , gw ) + 1 2 G ( gy , gv , gz ) 1 4 G ( gx , gu , gw ) + 1 2 G ( gy , gv , gz ) + L min { G ( F ( x , y ) , gu , gw ) , G ( F ( u , v ) , gx , gw ) , G ( F ( w , z ) , gx , gu ) , G ( F ( x , y ) , gx , gx ) , G ( F ( u , v ) , gu , gu ) , G ( F ( w , z ) , gw , gw ) }

for all L≥0. Hence, F satisfies condition (3.1) for α= 1 4 ,β= 1 2 and for each L≥0.

  1. (5)

    F(X×X)⊆g(X) and g(X) is a G-complete subspace of X;

  2. (6)

    F and g are commutes. Indeed, we have

    F ( gx , gy ) = F ( x 2 , y 2 ) = x 2 y 8 = x 2 y 8 2 = g ( F ( x , y ) )

for all x,yX.

Therefore, all hypotheses of Theorem 3.1 hold, and so F and g have a coupled coincidence point that is a point (0,0)∈X×X. Moreover, this point is also coupled common fixed point of F and g.