# Coupled best proximity points in ordered metric spaces

- P Kumam
^{1}, - V Pragadeeswarar
^{2}, - M Marudai
^{2}and - K Sitthithakerngkiet
^{3}Email author

**2014**:107

https://doi.org/10.1186/1687-1812-2014-107

© Kumam et al.; licensee Springer. 2014

**Received: **18 January 2014

**Accepted: **31 March 2014

**Published: **6 May 2014

## Abstract

In this paper, we prove the existence and uniqueness of a coupled best proximity point for mappings satisfying the proximally coupled contraction condition in a complete ordered metric space. Further, our result provides an extension of a result due to Luong and Thuan (Comput. Math. Appl. 62(11):4238-4248, 2011; Nonlinear Anal. 74:983-992, 2011).

**MSC:**41A65, 90C30, 47H10.

## Keywords

## 1 Introduction and preliminaries

Let *A* be a nonempty subset of a metric space $(X,d)$. A mapping $T:A\to X$ has a fixed point in *A* if the fixed point equation $Tx=x$ has at least one solution. That is, $x\in A$ is a fixed point of *T* if $d(x,Tx)=0$. If the fixed point equation $Tx=x$ does not possess a solution, then $d(x,Tx)>0$ for all $x\in A$. In such a situation, it is our aim to find an element $x\in A$ such that $d(x,Tx)$ is minimum in some sense. The best approximation theory and best proximity pair theorems are studied in this direction. Here we state the following well-known best approximation theorem due to Ky Fan [1].

**Theorem 1.1** ([1])

*Let* *A* *be a nonempty compact convex subset of a normed linear space* *X* *and* $T:A\to X$ *be a continuous function*. *Then there exists* $x\in A$ *such that* $\parallel x-Tx\parallel =d(Tx,A):=inf\{\parallel Tx-a\parallel :a\in A\}$.

Such an element $x\in A$ in Theorem 1.1 is called a best approximant of *T* in *A*. Note that if $x\in A$ is a best approximant, then $\parallel x-Tx\parallel $ need not be the optimum. Best proximity point theorems have been explored to find sufficient conditions so that the minimization problem ${min}_{x\in A}\parallel x-Tx\parallel $ has at least one solution. To have a concrete lower bound, let us consider two nonempty subsets *A*, *B* of a metric space *X* and a mapping $T:A\to B$. The natural question is whether one can find an element ${x}_{0}\in A$ such that $d({x}_{0},T{x}_{0})=min\{d(x,Tx):x\in A\}$. Since $d(x,Tx)\ge d(A,B)$, the optimal solution to the problem of minimizing the real valued function $x\to d(x,Tx)$ over the domain *A* of the mapping *T* will be the one for which the value $d(A,B)$ is attained. *A* point ${x}_{0}\in A$ is called a best proximity point of *T* if $d({x}_{0},T{x}_{0})=d(A,B)$. Note that if $d(A,B)=0$, then the best proximity point is nothing but a fixed point of *T*. Also, best proximity point theory in ordered metric spaces was first studied in [2].

The existence and convergence of best proximity points is an interesting topic of optimization theory which recently attracted the attention of many authors [3–13]. Also one can find the existence of best proximity point in the setting of partially order metric space in [14–17].

On the other hand, Bhaskar and Lakshmikantham have introduced the concept called mixed monotone mapping and proved coupled fixed point theorems for mappings satisfying the mixed monotone property, which is used to investigate a large class of problems, and they discussed the existence and uniqueness of a solution for a periodic boundary value problem. One can find the existence of coupled fixed points in the setting of partially order metric space in [18–24].

Now we recall the definition of a coupled fixed point which was introduced by Sintunavarat and Kumam in [16]. Let *X* be a nonempty set and $F:X\times X\to X$ be a given mapping. An element $(x,y)\in X\times X$ is called a coupled fixed point of the mapping *F* if $F(x,y)=x$ and $F(y,x)=y$.

*F*is said to have the mixed monotone property if

*Φ*denote all functions $\varphi :[0,\mathrm{\infty})\to [0,\mathrm{\infty})$ which satisfy

- (i)
*ϕ*is continuous and nondecreasing, - (ii)
$\varphi (t)=0$ if and only if $t=0$,

- (iii)
$\varphi (t+s)\le \varphi (t)+\varphi (s)$, $\mathrm{\forall}t,s\in (0,\mathrm{\infty}]$.

Again, let *Ψ* denote all functions $\psi :(0,\mathrm{\infty}]\to (0,\mathrm{\infty}]$ which satisfy ${lim}_{t\to r}\psi (t)>0$ for all $r>0$ and ${lim}_{t\to {0}^{+}}\psi (t)=0$.

The main theoretical results of Luong and Thuan, in [25] is the following.

**Theorem 1.2** ([25])

*Let*$(X,\le )$

*be a partially ordered set and suppose there is a metric*

*d*

*on*

*X*

*such that*$(X,d)$

*is a complete metric space*.

*Let*$F:X\times X\to X$

*be a mapping having the mixed monotone property on*

*X*

*such that*

*for all*$x,y,u,v\in X$

*with*$x\ge u$

*and*$y\le v$,

*where*$\psi \in \Psi $

*and*$\varphi \in \Phi $.

*If there exist*${x}_{0},{y}_{0}\in X$

*such that*${x}_{0}\le F({x}_{0},{y}_{0})$

*and*${y}_{0}\ge F({y}_{0},{x}_{0})$.

*Suppose either*

- (a)
*F**is continuous or* - (b)
*X**has the following property*: - (i)
*if a nondecreasing sequence*$\{{x}_{n}\}\to x$,*then*${x}_{n}\le x$*for all**n*, - (ii)
*if a nonincreasing sequence*$\{{y}_{n}\}\to y$,*then*$y\ge {y}_{n}$*for all**n*,

*then there exist* $x,y\in X$ *such that* $F(x,y)=x$ *and* $F(y,x)=y$.

Motivated by the above theorems, we introduce the concept of the proximal mixed monotone property and of a proximally coupled weak $(\psi ,\varphi )$ contraction on *A*. We also explore the existence and uniqueness of coupled best proximity points in the setting of partially ordered metric spaces. Further, we attempt to give the generalization of Theorem 1.2.

*X*be a nonempty set such that $(X,d)$ is a metric space. Unless otherwise specified, it is assumed throughout this section that

*A*and

*B*are nonempty subsets of the metric space $(X,d)$; the following notions are used subsequently:

In [9], the authors discussed sufficient conditions which guarantee the nonemptiness of ${A}_{0}$ and ${B}_{0}$. Also, in [7], the authors proved that ${A}_{0}$ is contained in the boundary of *A*. Moreover, the authors proved that ${A}_{0}$ is contained in the boundary of *A* in the setting of normed linear spaces.

**Definition 1.3**Let $(X,d,\le )$ be a partially ordered metric space and

*A*,

*B*are nonempty subsets of

*X*. A mapping $F:A\times A\to B$ is said to have proximal mixed monotone property if $F(x,y)$ is proximally nondecreasing in

*x*and is proximally nonincreasing in

*y*, that is, for all $x,y\in A$

where ${x}_{1},{x}_{2},{y}_{1},{y}_{2},{u}_{1},{u}_{2},{u}_{3},{u}_{4}\in A$.

One can see that, if $A=B$ in the above definition, the notion of the proximal mixed monotone property reduces to that of the mixed monotone property.

**Lemma 1.4**

*Let*$(X,d,\le )$

*be a partially ordered metric space and*

*A*,

*B*

*are nonempty subsets of*

*X*.

*Assume*${A}_{0}$

*is nonempty*.

*A mapping*$F:A\times A\to B$

*has the proximal mixed monotone property with*$F({A}_{0}\times {A}_{0})\subseteq {B}_{0}$

*whenever*${x}_{0}$, ${x}_{1}$, ${x}_{2}$, ${y}_{0}$, ${y}_{1}$

*in*${A}_{0}$

*such that*

*Proof*By hypothesis $F({A}_{0}\times {A}_{0})\subseteq {B}_{0}$, therefore $F({x}_{1},{y}_{0})\in {B}_{0}$. Hence there exists ${x}_{1}^{\ast}\in A$ such that

*F*is proximal mixed monotone (in particular

*F*is proximally nondecreasing in

*x*) to (2) and (3), we get

*F*is proximal mixed monotone (in particular

*F*is proximally nonincreasing in

*y*) to (2) and (3), we get

From (4) and (5), one can conclude the ${x}_{1}\le {x}_{2}$. Hence the proof. □

**Lemma 1.5**

*Let*$(X,d,\le )$

*be a partially ordered metric space and*

*A*,

*B*

*are nonempty subsets of*

*X*.

*Assume*${A}_{0}$

*is nonempty*.

*A mapping*$F:A\times A\to B$

*has proximal mixed monotone property with*$F({A}_{0}\times {A}_{0})\subseteq {B}_{0}$

*whenever*${x}_{0}$, ${x}_{1}$, ${y}_{0}$, ${y}_{1}$, ${y}_{2}$

*in*${A}_{0}$

*such that*

*Proof* The proof is the same as Lemma 1.4. □

**Definition 1.6**Let $(X,d,\le )$ be a partially ordered metric space and

*A*,

*B*are nonempty subsets of

*X*. A mapping $F:A\times A\to B$ is said to be proximally coupled weak $(\psi ,\varphi )$ contraction on

*A*, whenever

where ${x}_{1},{x}_{2},{y}_{1},{y}_{2},{u}_{1},{u}_{2}\in A$.

*A*reduces to that of a coupled weak $(\psi ,\varphi )$ contraction. Let us recall the notion of the

*P*-property: The pair $(A,B)$ of nonempty subsets of a metric space $(X,d)$ with ${A}_{0}\ne \mathrm{\varnothing}$. is said to have the

*P*-property if and only if

where ${x}_{1},{x}_{2}\in {A}_{0}$ and ${y}_{1},{y}_{2}\in {B}_{0}$. It is interesting to note that if the pair $(A,B)$ considered in the above definition has the *P*-property, then the mapping *F* in Theorem 1.2 satisfies the inequality (1).

## 2 Coupled best proximity point theorems

**Theorem 2.1**

*Let*$(X,\le ,d)$

*be a partially ordered complete metric space*.

*Let*

*A*

*and*

*B*

*be nonempty closed subsets of the metric space*$(X,d)$

*such that*${A}_{0}\ne \mathrm{\varnothing}$.

*Let*$F:A\times A\to B$

*satisfy the following conditions*.

- (i)
*F**is a continuous proximally coupled weak*$(\psi ,\varphi )$*contraction on**A**having the proximal mixed monotone property on**A**such that*$F({A}_{0}\times {A}_{0})\subseteq {B}_{0}$. - (ii)
*There exist elements*$({x}_{0},{y}_{0})$*and*$({x}_{1},{y}_{1})$*in*${A}_{0}\times {A}_{0}$*such that*$\begin{array}{c}d({x}_{1},F({x}_{0},{y}_{0}))=d(A,B)\phantom{\rule{1em}{0ex}}\mathit{\text{with}}{x}_{0}\le {x}_{1}\phantom{\rule{1em}{0ex}}\mathit{\text{and}}\hfill \\ d({y}_{1},F({y}_{0},{x}_{0}))=d(A,B)\phantom{\rule{1em}{0ex}}\mathit{\text{with}}{y}_{0}\ge {y}_{1}.\hfill \end{array}$

*Then there exists* $(x,y)\in A\times A$ *such that* $d(x,F(x,y))=d(A,B)$ *and* $d(y,F(y,x))=d(A,B)$.

*Proof*By hypothesis there exist elements $({x}_{0},{y}_{0})$ and $({x}_{1},{y}_{1})$ in ${A}_{0}\times {A}_{0}$ such that

Hence from Lemma 1.4 and Lemma 1.5, we obtain ${x}_{1}\le {x}_{2}$ and ${y}_{1}\ge {y}_{2}$.

*F*is a proximally coupled weak $(\psi ,\varphi )$ contraction on

*A*we get

*ϕ*we have

*ϕ*is nondecreasing, we get

*ϕ*is continuous, we have

*ϕ*, we obtain

*F*is a proximally coupled weak $(\psi ,\varphi )$ contraction on

*A*we get

a contradiction. This shows that $({x}_{n})$ and $({y}_{n})$ are Cauchy sequences. Since *A* is a closed subset of a complete metric space *X*, these sequences have limits. Thus, there exist $x,y\in A$ such that ${x}_{n}\to x$ and ${y}_{n}\to y$. Therefore $({x}_{n},{y}_{n})\to (x,y)$ in $A\times A$. Since *F* is continuous, we have $F({x}_{n},{y}_{n})\to F(x,y)$ and $F({y}_{n},{x}_{n})\to F(y,x)$.

Hence the continuity of the metric function *d* implies that $d({x}_{n+1},F({x}_{n},{y}_{n}))\to d(x,F(x,y))$ and $d({y}_{n+1},F({y}_{n},{x}_{n}))\to d(y,F(y,x))$. But from (9) and (10) we see that the sequences $(d({x}_{n+1},F({x}_{n},{y}_{n})))$ and $(d({y}_{n+1},F({y}_{n},{x}_{n})))$ are constant sequences with the value $d(A,B)$. Therefore, $d(x,F(x,y))=d(A,B)$ and $d(y,F(y,x))=d(A,B)$. This completes the proof of the theorem. □

**Corollary 2.1**

*Let*$(X,\le ,d)$

*be a partially ordered complete metric space*.

*Let*

*A*

*be nonempty closed subsets of the metric space*$(X,d)$.

*Let*$F:A\times A\to A$

*satisfy the following conditions*.

- (i)
*F**is continuous having the proximal mixed monotone property and proximally coupled weak*$(\psi ,\varphi )$*contraction on**A*. - (ii)
*There exist*$({x}_{0},{y}_{0})$*and*$({x}_{1},{y}_{1})$*in*$A\times A$*such that*${x}_{1}=F({x}_{0},{y}_{0})$*with*${x}_{0}\le {x}_{1}$*and*${y}_{1}=F({y}_{0},{x}_{0})$*with*${y}_{0}\ge {y}_{1}$.

*Then there exists* $(x,y)\in A\times A$ *such that* $d(x,F(x,y))=0$ *and* $d(y,F(y,x))=0$.

*F*not necessarily continuous, assuming the following hypotheses in

*A*.

*A*has the property that

**Theorem 2.2** *Assume the conditions* (25), (26) *and* ${A}_{0}$ *is closed in* *X* *instead of continuity of* *F* *in Theorem * 2.1, *then the conclusion of Theorem * 2.1 *holds*.

*Proof*Following the proof of Theorem 2.1, there exist sequences $({x}_{n})$ and $({y}_{n})$ in

*A*satisfying the following conditions:

*x*and ${y}_{n}$ converges to

*y*in

*A*. From (25) and (26), we get ${x}_{n}\le x$ and ${y}_{n}\ge y$. Note that the sequences $({x}_{n})$ and $({y}_{n})$ are in ${A}_{0}$ and ${A}_{0}$ is closed. Therefore, $(x,y)\in {A}_{0}\times {A}_{0}$. Since $F({A}_{0}\times {A}_{0})\subseteq {B}_{0}$, there exist $F(x,y)$ and $F(y,x)$ in ${B}_{0}$. Therefore, there exists $({x}^{\ast},{y}^{\ast})\in {A}_{0}\times {A}_{0}$ such that

*F*is a proximally coupled weak $(\psi ,\varphi )$ contraction on

*A*for (27) and (29), and also for (30) and (28), we get

Since ${x}_{n}\to x$ and ${y}_{n}\to y$, by taking the limit on the above two inequalities, we get $x={x}^{\ast}$ and $y={y}^{\ast}$. Hence, from (29) and (30), we get $d(x,F(x,y))=d(A,B)$ and $d(y,F(y,x))=d(A,B)$. □

**Corollary 2.2** *Assume the conditions* (25) *and* (26) *instead of continuity of* *F* *in Corollary * 2.1, *then the conclusion of Corollary * 2.1 *holds*.

Now, we present an example where it can be appreciated that the hypotheses in Theorem 2.1 and Theorem 2.2 do not guarantee uniqueness of the coupled best proximity point.

**Example 2.3** Let $X=\{(0,1),(1,0),(-1,0),(0,-1)\}\subset {\mathbb{R}}^{2}$ and consider the usual order $(x,y)\u2aaf(z,t)\iff x\le z$ and $y\le t$.

Thus, $(X,\u2aaf)$ is a partially ordered set. Besides, $(X,{d}_{2})$ is a complete metric space considering ${d}_{2}$ the Euclidean metric. Let $A=\{(0,1),(1,0)\}$ and $B=\{(0,-1),(-1,0)\}$ be a closed subset of *X*. Then $d(A,B)=\sqrt{2}$, $A={A}_{0}$ and $B={B}_{0}$. Let $F:A\times A\to B$ be defined as $F(({x}_{1},{x}_{2}),({y}_{1},{y}_{2}))=(-{x}_{2},-{x}_{1})$. Then, it can be seen that *F* is continuous such that $F({A}_{0}\times {A}_{0})\subseteq {B}_{0}$. The only comparable pairs of points in *A* are $x\u2aafx$ for $x\in A$, hence the proximal mixed monotone property and the proximally coupled weak $(\psi ,\varphi )$ contraction on *A* are satisfied trivially.

It can be shown that the other hypotheses of the theorem are also satisfied. However, *F* has three coupled best proximity points, $((0,1),(0,1))$, $((0,1),(1,0))$, and $((1,0),(1,0))$.

It is known that this condition is equivalent to the following.

**Theorem 2.4**

*In addition to the hypothesis of Theorem*2.1 (

*resp*.

*Theorem*2.2),

*suppose that for any two elements*$(x,y)$

*and*$({x}^{\ast},{y}^{\ast})$

*in*${A}_{0}\times {A}_{0}$,

*then* *F* *has a unique coupled best proximity point*.

*Proof*From Theorem 2.1 (resp. Theorem 2.2), the set of coupled best proximity points of

*F*is nonempty. Suppose that there exist $(x,y)$ and $({x}^{\ast},{y}^{\ast})$ in $A\times A$ which are coupled best proximity points. That is,

We distinguish two cases.

*F*is a proximally coupled weak $(\psi ,\varphi )$ contraction on

*A*to $d(x,F(x,y))=d(A,B)$ and $d({x}^{\ast},F({x}^{\ast},{y}^{\ast}))=d(A,B)$, we get

*ϕ*, we have

this implies that $2\psi (\frac{d(x,{x}^{\ast})+d(y,{y}^{\ast})}{2})\le 0$, and using the property of *ψ*, we get $d(x,{x}^{\ast})+d(y,{y}^{\ast})=0$, hence $x={x}^{\ast}$ and $y={y}^{\ast}$.

Case 2: Suppose $(x,y)$ is not comparable. Let $(x,y)$ be not comparable to $({x}^{\ast},{y}^{\ast})$, then there exists $({u}_{1},{v}_{1})\in {A}_{0}\times {A}_{0}$ which is comparable to $(x,y)$ and $({x}^{\ast},{y}^{\ast})$.

*i.e.*, $x\ge {u}_{1}$ and $y\le {v}_{1}$). Note that $({u}_{1},{v}_{1})\le (x,y)$ implies that $(y,x)\le ({v}_{1},{u}_{1})$. From Lemma 1.4 and Lemma 1.5, we get

*F*is a proximally coupled weak $(\psi ,\varphi )$ contraction on

*A*, we get

*ϕ*is nondecreasing, we get

so that ${u}_{n}\to x$ and ${v}_{n}\to y$. Analogously, one can prove that ${u}_{n}\to {x}^{\ast}$ and ${v}_{n}\to {y}^{\ast}$.

Therefore, $x={x}^{\ast}$ and $y={y}^{\ast}$. Hence the proof. □

The following result, due to Theorem 2.4 in Luong and Thuan [25] follows by taking $A=B$.

**Corollary 2.3**

*In addition to the hypothesis of Corollary*2.1 (

*resp*.

*Corollary*2.2),

*suppose that for any two elements*$(x,y)$

*and*$({x}^{\ast},{y}^{\ast})$

*in*$A\times A$,

*then* *F* *has a unique coupled fixed point*.

## Declarations

### Acknowledgements

The first author was supported by the Higher Education Research Promotion and National Research University Project of Thailand, Office of the Higher Education Commission (NRU2557). Moreover, Kanokwan Sitthithakerngkiet would like to thank the King Mongkut’s University of Technology North Bangkok for financial support.

## Authors’ Affiliations

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