This paper was converted on www.awesomepapers.org from LaTeX by an anonymous user.
Want to know more? Visit the Converter page.

A Characterization of Weak Proximal Normal Structure and Best Proximity Pairs

Abhik Digar Department of Mathemtics
IIT Ropar
Rupnagar - 140 001
Punjab, India.
[email protected]
   Rafael Espínola García Departamento de Análisis Matemático,
Facultad de Matemáticas, IMUS,
Universidad de Sevilla, 41010 , Sevilla, Spain.
[email protected]
   G. Sankara Raju Kosuru Department of Mathemtics
IIT Ropar
Rupnagar - 140 001
Punjab, India.
[email protected]
Abstract.

The aim of this paper is to address an open problem given in [Kirk, W. A., Shahzad, Naseer, Normal structure and orbital fixed point conditions, J. Math. Anal. Appl. vol 463(2), (2018) 461–476]. We give a characterization of weak proximal normal structure using best proximity pair property. We also introduce a notion of pointwise cyclic contraction wrt orbits and therein prove the existence of a best proximity pair in the setting of reflexive Banach spaces.

1991 Mathematics Subject Classification:
47H10, 46C20, 54H25.

1. Introduction and Preliminaries

Let A,BA,B be two non-empty subsets of a Banach space and TT be a cyclic mapping on ABA\cup B (T(A)B,T(B)AT(A)\subseteq B,T(B)\subseteq A). A pair (x,y)A×B(x,y)\in A\times B is said to be a best proximity pair for TT if xTx=yTy=d(A,B)=inf{xy:xA,yB}.\|x-Tx\|=\|y-Ty\|=d(A,B)=\inf\{\|x-y\|:x\in A,y\in B\}. The geometry of Banach spaces plays a crucial role for the existence of best proximity pairs. The analysis of proximal normal structure and weak or semi-normal structure, the property UC, the projectional property due to Eldred et al.[2], Moosa [4], Suzuki et al. [9], G. S. Raju et al. [7] etc., respectively are widely used to prove the existence of a best proximity pair for cyclic maps. We denote sup{xy:yB}\sup\{\|x-y\|:y\in B\} for xAx\in A by δ(x,B).\delta(x,B). We shall say that the pair (A,B)(A,B) is proximinal pair if for every xx in AA (resp. in BB), there exists yy in BB (resp. in AA) such that xy=d(A,B).\|x-y\|=d(A,B). Further, if such a yy is unique, then (A,B)(A,B) is said to be a sharp proximinal pair [7]. In this case we denote yy by x.x^{\prime}. Also, (A,B)(A,B) is said to be a proximinal parallel pair if (A,B)(A,B) is sharp proximinal and B=A+hB=A+h for some hXh\in X [3]. It is shown in [3] that if XX is strictly convex and A,BA,B are weakly compact convex subsets of X,X, then every (A0,B0)(A_{0},B_{0}) is a non-empty proximinal parallel pair. Here A0={xA:there existsyBsuch thatxy=d(A,B)}A_{0}=\{x\in A:\mbox{there exists}~{}y\in B~{}\mbox{such that}~{}\|x-y\|=d(A,B)\} and B0={xB:there existsyAsuch thatxy=d(A,B)}.B_{0}=\{x\in B:\mbox{there exists}~{}y\in A~{}\mbox{such that}~{}\|x-y\|=d(A,B)\}. Also, in [7], the authors have given example(s) of sharp proximinal pair which are not parallel. In [2], the author introduced a geometrical notion called proximal normal structure to prove the existence of a best proximity pair of a relatively nonexpansive mapping (TxTyxy\|Tx-Ty\|\leq\|x-y\| for all xA,yB.x\in A,y\in B.) We say (A,B)(A,B) has proximal normal structure ([2]) [respectively weak proximal normal structure ([5])] if (A,B)(A,B) is convex and for any closed bounded [respectively weakly compact] convex proximinal pair (H1,H2)(H_{1},H_{2}) of subsets of (A,B)(A,B) for which d(H1,H2)=d(A,B)d(H_{1},H_{2})=d(A,B) and δ(H1,H2)>d(H1,H2),\delta(H_{1},H_{2})>d(H_{1},H_{2}), there exists (x,y)(H1,H2)(x,y)\in(H_{1},H_{2}) such that δ(x,H2)<δ(H1,H2)\delta(x,H_{2})<\delta(H_{1},H_{2}) and δ(y,H1)<δ(H1,H2).\delta(y,H_{1})<\delta(H_{1},H_{2}). It is well known that every non-empty closed bounded convex pair (A,B)(A,B) of a uniformly convex Banach space has proximal normal structure. In fact, every non-empty compact convex pair (A,B)(A,B) of a Banach space has proximal normal structure. It is proved (Proposition 3.2 in [5]) that a bounded convex pair has proximal normal structure if and only if it doesn’t contain any proximal diametral sequence. A pair ({xn},{yn})\displaystyle\left(\{x_{n}\},\{y_{n}\}\right) of sequences in (A,B)(A,B) with xnyn=d(A,B),n1\|x_{n}-y_{n}\|=d(A,B),n\geq 1 is said to be a proximal diametral sequence ([5]) if d(A,B)<δ({xn},{yn})d(A,B)<\delta(\{x_{n}\},\{y_{n}\}) and max{limnd(xn+1,co({y1,y2,,yn})),limnd(yn+1,co({x1,x2,,xn}))}=δ({xn},{yn}).\displaystyle\max\{\lim_{n\to\infty}d\left(x_{n+1},\mbox{co}\left(\{y_{1},y_{2},...,y_{n}\}\right)\right),\lim_{n\to\infty}d\left(y_{n+1},\mbox{co}\left(\{x_{1},x_{2},...,x_{n}\}\right)\right)\}=\delta(\{x_{n}\},\{y_{n}\}). It is easy to see that proximal normal structure coincides with weak proximal normal structure in reflexive Banach spaces [5]. Moreover, therein the author proved the existence of a best proximity pair in the settings of a reflexive Banach space. Recently, in [6], the authors posed an open problem for the existence of a best proximity pair for a more general class of mappings, called relatively orbital nonexpansive mappings. Also therein the authors indicated that an affirmative answer may provide a characterization of proximal normal structure. Motivated by this, we aim to give a partial affirmative answer for the same. We also provide a characterization of weak proximal normal structure by using the existence of a best proximity pair for relatively orbital nonexpansive mappings. Finally, we introduce the notion of pointwise cyclic contraction wrt orbits and prove the minimal invariant subsets of such a map have nondiametral points. This guarantees the existence of a best proximity pair for such a class in the setting of a reflexive Banach space. Finally, we prove the existence of a best proximity pair for the class of pointwise cyclic contraction wrt orbits.

2. Existence of Best Proximity Pairs

Let A,BA,B be two closed convex subsets of a Banach space X.X. Let T:ABABT:A\cup B\to A\cup B be a cyclic map. If TT admits a best proximity pair, then A0B0.A_{0}\neq\emptyset\neq B_{0}. Also, if TT is relatively nonexpansive, then A0B0A_{0}\cup B_{0} is cyclically invariant under TT (TA0B0,TB0A0TA_{0}\subseteq B_{0},TB_{0}\subseteq A_{0}). The following theorem is due to Eldred 𝑒𝑡𝑎𝑙.\it{et~{}al.} [2]

Theorem 2.1.

Let (K1,K2)(K_{1},K_{2}) be a non-empty weakly compact convex pair in a Banach space and suppose (K1,K2)(K_{1},K_{2}) has proximal normal structure. Then every relatively nonexpansive mapping TT on ABA\cup B has a best proximity pair in (K1,K2).(K_{1},K_{2}).

The main tool to prove the same is to use the geometrical notion called “proximal normal structure” on A0B0A_{0}\cup B_{0}. Later many authors established the existence of a best proximity pair for relatively nonexpansive mappings in different settings using variants of geometry ([3],[4],[8],[9]). In [5], Moosa introduced pointwise relatively nonexpansive mappings involving orbits and therein proved the existence of a best proximity pair for such a class of mappings. Recently, in 2018, Kirk and Shahzad discussed the existence of a best proximity pair for relatively nonexpansive mappings and therein they raised the question “can the assumption that TT is relatively nonexpansive in Theorem 2.1 be replaced by the assumption that TT is relatively nonexpansive wrt orbits?” TT is said to be relatively nonexpansively mappings wrt orbits if TxTyrx(𝒪(y))=δ(x,{y,Ty,T2y,}).\|Tx-Ty\|\leq r_{x}\left(\mathcal{O}(y)\right)=\delta(x,\{y,Ty,T^{2}y,...\}). Using the following example, we can conclude that the answer is negative for the above open problem.

Example 2.2.

Let A={x:2x1},B={x:1x2}.A=\{x\in\mathbb{R}:-2\leq x\leq-1\},B=\{x\in\mathbb{R}:1\leq x\leq 2\}. Define

T(x)={x,if xA1x2,if xB.T(x)=\begin{cases}-x,&\text{if }x\in A\\ -1-\frac{x}{2},&\text{if }x\in B.\end{cases}

Let yB.y\in B. For any n,T2ny=1+2n112n1+y2n=212n1+y2nn,~{}T^{2n}y=1+\frac{2^{n-1}-1}{2^{n-1}}+\frac{y}{2^{n}}=2-\frac{1}{2^{n-1}}+\frac{y}{2^{n}} and T2n+1y=1T2ny2=2+12ny2n+1.T^{2n+1}y=-1-\frac{T^{2n}y}{2}=-2+\frac{1}{2^{n}}-\frac{y}{2^{n+1}}. Now, for any xA,yB,TxTy=|(x)(1y2)|2x=rx(𝒪(y)).x\in A,y\in B,~{}\left\|Tx-Ty\right\|=\left|(-x)-\left(-1-\frac{y}{2}\right)\right|\leq 2-x=r_{x}\left(\mathcal{O}(y)\right).

It is to be observed that a cyclic map TT on ABA\cup B that satisfies TxTyrx(𝒪(y))\|Tx-Ty\|\leq r_{x}\left(\mathcal{O}(y)\right) does not guarantee A0B0A_{0}\cup B_{0} is cyclically invariant under T.T. Hence, it is not reasonable to expect the existence of a best proximity pair for such a map T.T. To overcome this, we redefine the relatively orbital nonexpansive mappings. For xAB,x\in A\cup B, we denote {T2nx:n{0}}\{T^{2n}x:n\in\mathbb{N}\cup\{0\}\} by 𝒪2(x)\mathcal{O}^{2}(x).

Definition 2.3.

Let A,BA,B be two non-empty subsets of a Banach space X.X. A cyclic map T:ABABT:A\cup B\to A\cup B is said to be a relatively orbital nonexpansive mapping if

  • (i)

    TxTy=d(A,B)\|Tx-Ty\|=d(A,B) if xy=d(A,B)\|x-y\|=d(A,B) for xA,yB.x\in A,y\in B.

  • (ii)

    for all xA,yB,TxTymin{rx(𝒪2(y)),ry(𝒪2(x))}x\in A,y\in B,~{}\|Tx-Ty\|\leq\min\{r_{x}\left(\mathcal{O}^{2}(y)\right),r_{y}\left(\mathcal{O}^{2}(x)\right)\}.

It is worth mentioning that relatively orbital nonexpanive mapping is not necessarily relatively nonexpansive.

Example 2.4.

Let A={(0,x)2:0x1},B={(1,y)2:0y1}A=\{(0,x)\in\mathbb{R}^{2}:0\leq x\leq 1\},B=\{(1,y)\in\mathbb{R}^{2}:0\leq y\leq 1\} and T:ABABT:A\cup B\to A\cup B be defined by

xA,T(x)={(1,x4)ifx12;(1,x2)ifx<12.x\in A,~{}T(x)=\begin{cases}(1,\frac{x}{4})&\text{if}~{}x\geq\frac{1}{2};\\ (1,\frac{x}{2})&\text{if}~{}x<\frac{1}{2}.\end{cases}
yB,T(y)={(0,y4)ify12;(0,y2)ify<12.y\in B,~{}T(y)=\begin{cases}(0,\frac{y}{4})&\text{if}~{}y\geq\frac{1}{2};\\ (0,\frac{y}{2})&\text{if}~{}y<\frac{1}{2}.\end{cases}

We see that TT is not relatively nonexpansive but relatively orbital nonexpansive mapping.

Let (A,B)(A,B) be a non-empty sharp proximinal pair in Banach space and TT be a relatively orbital nonexpansive mapping on AB.A\cup B. Then it is easy to see that (A0,B0)(A_{0},B_{0}) is cyclically invariant under TT and Tx=(Tx).Tx^{\prime}=(Tx)^{\prime}. We say that (A,B)(A,B) is said to satisfy the weak best proximity pair property (WBPP) if every relatively orbital nonexpansive mapping on ABA\cup B has a best proximity pair. The following theorem ensures that every non-empty weakly compact convex pair of subsets of a strictly convex Banach space satisfying the WBPP. The following theorem is in a way different than Theorem 2.6 of [5]. For the sake the completeness, we prove the same here.

Theorem 2.5.

Let A,BA,B be two non-empty weakly compact convex substes of a Banach space XX. If (A,B)(A,B) is a sharp proximinal pair having weak proximal normal structure, then (A,B)(A,B) has WBPP.

Proof.

Let \mathscr{F} denote the collection of non-empty closed bounded convex proximinal pair (E1,E2(E_{1},E_{2}) of subsets of (A0,B0)(A_{0},B_{0}) with (E1,E2)(E_{1},E_{2}) cyclically invariant under TT and d(E1,E2)=d(A,B).d(E_{1},E_{2})=d(A,B). ,\mathscr{F}\neq\emptyset, since (A0,B0).(A_{0},B_{0})\in\mathscr{F}. By Zorn’s Lemma \mathscr{F} has a minimal element under the set inclusion order ``"``\subseteq", say, (F1,F2).(F_{1},F_{2}). If (F1,F2)(F_{1},F_{2}) is a singleton pair, we have δ(F1,F2)=d(A,B),\delta(F_{1},F_{2})=d(A,B), i.e., TT has a best proximity pair. Suppose (F1,F2)(F_{1},F_{2}) is not singleton. By weak proximal normal structure, there exist (x1,y1)(F1,F2)(x_{1},y_{1})\in(F_{1},F_{2}) such that m1=δ(x1,F2)<δ(F1,F2);m2=δ(y1,F1)<δ(F1,F2).m_{1}=\delta(x_{1},F_{2})<\delta(F_{1},F_{2});~{}m_{2}=\delta(y_{1},F_{1})<\delta(F_{1},F_{2}). Set m=max{m1,m2}m=\max\{m_{1},m_{2}\}. Define

L1\displaystyle L_{1} =\displaystyle= {xF1:δ(x,F2)m}\displaystyle\{x\in F_{1}:\delta(x,F_{2})\leq m\}
L2\displaystyle L_{2} =\displaystyle= {yF2:δ(y,F1)m}.\displaystyle\{y\in F_{2}:\delta(y,F_{1})\leq m\}.

L1,L2,L_{1}\neq\emptyset,L_{2}\neq\emptyset, since x1L1,y1L2.x_{1}\in L_{1},y_{1}\in L_{2}. Being closed subset of a weakly compact subset, L1,L2L_{1},L_{2} are weakly compact. To see L1L_{1} is convex, let a,bL1.a,b\in L_{1}. For any λ[0,1],δ(λa+(1λ)b,F2)λδ(a,F2)+(1λ)δ(b,F2)λm+(1λ)m=m.\lambda\in[0,1],\\ \delta\left(\lambda a+(1-\lambda)b,F_{2}\right)\leq\lambda\delta(a,F_{2})+(1-\lambda)\delta(b,F_{2})\leq\lambda m+(1-\lambda)m=m. Hence we can conclude that (L1,L2)(L_{1},L_{2}) is a convex pair. Let vF2.v\in F_{2}. Suppose the unique best approximation of an element zABz\in A\cup B is denoted by zz^{\prime}. Then

x1+y12v\displaystyle\left\|\frac{x_{1}+y_{1}^{\prime}}{2}-v\right\| \displaystyle\leq 12[x1v+y1v]\displaystyle\frac{1}{2}\left[\left\|x_{1}-v\right\|+\left\|y_{1}^{\prime}-v\right\|\right]
=\displaystyle= 12[x1v+y1v]\displaystyle\frac{1}{2}\left[\left\|x_{1}-v\right\|+\left\|y_{1}-v^{\prime}\right\|\right]
\displaystyle\leq 12[δ(x1,F2)+δ(y1,F1)]\displaystyle\frac{1}{2}\left[\delta(x_{1},F_{2})+\delta(y_{1},F_{1})\right]
\displaystyle\leq m.\displaystyle m.

Since vF2v\in F_{2} is arbitrary, δ(x1+y12,F2)m.\delta\left(\frac{x_{1}+y_{1}^{\prime}}{2},F_{2}\right)\leq m. Hence, x1+y12L1\frac{x_{1}+y_{1}^{\prime}}{2}\in L_{1} Similarly, x1+y12L2.\frac{x_{1}^{\prime}+y_{1}}{2}\in L_{2}. Moreover, x1+y12x1+y12=d(A,B).\left\|\frac{x_{1}+y_{1}^{\prime}}{2}-\frac{x_{1}^{\prime}+y_{1}}{2}\right\|=d(A,B). Hence, d(L1,L2)=d(A,B).d(L_{1},L_{2})=d(A,B). To see (L1,L2)(L_{1},L_{2}) is a proximinal pair, let xL1.x\in L_{1}. Then xF1x\in F_{1} and hence xF2.x^{\prime}\in F_{2}. Therefore δ(x,F1)=δ(x,F2)m.\delta(x^{\prime},F_{1})=\delta(x,F_{2})\leq m. Thus xL2.x^{\prime}\in L_{2}. It infers (L1,L2)(L_{1},L_{2}) is a proximinal pair. Thus, L2={xF2:xL1}.L_{2}=\{x^{\prime}\in F_{2}:x\in L_{1}\}.

Next, let xL1,vF2.x\in L_{1},v\in F_{2}. Then, TxTvrx(𝒪2(v))=δ(x,𝒪2(v))δ(x,F2)m.\left\|Tx-Tv\right\|\leq r_{x}\left(\mathcal{O}^{2}(v)\right)=\delta\left(x,\mathcal{O}^{2}(v)\right)\leq\delta(x,F_{2})\leq m. It follows that T(F2)B(Tx;m)F1=F1.T(F_{2})\subset B\left(Tx;m\right)\cap F_{1}=F_{1}^{\prime}. Similarly, T(F1)B(Tx;m)F2=F2.T(F_{1})\subset B\left(Tx^{\prime};m\right)\cap F_{2}=F_{2}^{\prime}. Clearly, (F1,F2).(F_{1}^{\prime},F_{2}^{\prime})\in\mathscr{F}. By minimality, F1=F1,F2=F2.F_{1}^{\prime}=F_{1},F_{2}^{\prime}=F_{2}. Then F1B(Tx;m)F_{1}\subseteq B(Tx;m) and F2B(Tx;m).F_{2}\subseteq B(Tx^{\prime};m). For any uF1,uTxm,u\in F_{1},\|u-Tx\|\leq m, hence, δ(Tx,F1)m.\delta(Tx,F_{1})\leq m. Therefore, TxL2.Tx\in L_{2}. Hence, T(L1)L2.T(L_{1})\subseteq L_{2}. Further, if yL2,y\in L_{2}, then yL1.y^{\prime}\in L_{1}. This implies Ty=(Ty)L2.Ty^{\prime}=(Ty)^{\prime}\in L_{2}. Thus TyL1.Ty\in L_{1}. As yL2y\in L_{2} is arbitrary, we have T(L2)L1.T(L_{2})\subseteq L_{1}. Hence, (L1,L2).(L_{1},L_{2})\in\mathscr{F}. For xL1,yL2,xyδ(x,F2)m<δ(F1,F2).x\in L_{1},y\in L_{2},\left\|x-y\right\|\leq\delta(x,F_{2})\leq m<\delta(F_{1},F_{2}). This infers that δ(L1,L2)<δ(F1,F2).\delta(L_{1},L_{2})<\delta(F_{1},F_{2}). This contradicts the minimality of (F1,F2).(F_{1},F_{2}).

Let TT be a cyclic map on ABA\cup B. We say that the pair (A,B)(A,B) has a proximinal nondiametral pair if there exists (x,y)A×B(x,y)\in A\times B such that max{δ(x,B),δ(y,A)}<δ(A,B)\max\{\delta(x,B),\delta(y,A)\}<\delta(A,B) whenever d(A,B)<δ(A,B).d(A,B)<\delta(A,B). A similar technique can be used to obtain the following:

Theorem 2.6.

Let (A,B)(A,B) be a non-empty closed bounded convex proximinal pair of subsets of a Banach space and let TT be a relatively orbital nonexpansive mapping on AB.A\cup B. If TT has a nonempty closed bounded convex minimal cyclically invariant pair (A,B)(A,B) having a nondiametral pair then TT has a best proximity pair.

Example 2.7.

Let A,BA,B and TT as in the Example 2.4. It is easy to see that ((0,0),(1,0))\left((0,0),(1,0)\right) is a best proximity pair.

3. Characterization of weak proximal normal structure

Let (A,B)(A,B) be a bounded convex proximinal pair of a Banach space X.X. A non-constant pair of sequences ({xn},{yn})\left(\{x_{n}\},\{y_{n}\}\right) of (A,B)(A,B) is said to be a proximinal diametral sequence if xnyn=d(A,B)\|x_{n}-y_{n}\|=d(A,B) for every nn\in\mathbb{N} and δ({xn},{yn})=limnd(xn+1,co({y1,y2,,yn}))=limnd(yn+1,co({x1,x2,,xn})).\delta(\{x_{n}\},\{y_{n}\})=\displaystyle\lim_{n\to\infty}d\left(x_{n+1},\mbox{co}\left(\{y_{1},y_{2},...,y_{n}\}\right)\right)=\lim_{n\to\infty}d\left(y_{n+1},\mbox{co}\left(\{x_{1},x_{2},...,x_{n}\}\right)\right). It is to be observed that if d(A,B)=0,d(A,B)=0, then the proximinal diametral sequence turns out to be a diametral sequence in ABA\cap B in the sense of Brodskii and Milman ([1]). Using a similar argument employed in the proof of Theorem 2.5 ([2]) one can obtain the following:

Theorem 3.1.

A bounded convex pair (A,B)(A,B) of a Banach space XX has proximal normal structure if and only if it does not contain a proximinal diametral sequence.

Let (A,B)(A,B) be a non-empty weakly compact convex sharp proximinal pair of subsets of a Banach space having WBPP. Suppose (A,B)(A,B) does not have proximal weak normal structure. Then by Theorem 3.1, (A,B)(A,B) has a proximinal diametral sequence, say, ({xn},{yn}).\left(\{x_{n}\},\{y_{n}\}\right). Consequently, limnd(xn+1,co({y1,y2,,yn}))=δ({xn},{yn})=limnd(yn+1,co({x1,x2,,xn})).\displaystyle\lim_{n\to\infty}d\left(x_{n+1},\mbox{co}\left(\{y_{1},y_{2},...,y_{n}\}\right)\right)=\delta(\{x_{n}\},\{y_{n}\})=\lim_{n\to\infty}d\left(y_{n+1},\mbox{co}\left(\{x_{1},x_{2},...,x_{n}\}\right)\right).

Since, (A,B)(A,B) is weakly compact, there exists a subsequence ({xnk},{ynk})\left(\{x_{n_{k}}\},\{y_{n_{k}}\}\right) of ({xn},{yn})\left(\{x_{n}\},\{y_{n}\}\right) which is weakly convergent. It is easy to see that the sequence ({xnk},{ynk})\left(\{x_{n_{k}}\},\{y_{n_{k}}\}\right) is a proximinal diametral subsequence. Hence, without loss of any generality, we may assume that the sequence ({xn},{yn})\left(\{x_{n}\},\{y_{n}\}\right) is proximinal diametral and weakly convergent. Now, H=co¯({x1,x2,}),K=co¯({y1,y2,})H=\overline{\mbox{co}}\left(\{x_{1},x_{2},...\}\right),K=\overline{\mbox{co}}\left(\{y_{1},y_{2},...\}\right) are weakly compact convex subsets of A,BA,B respectively. Define T:HKHKT:H\cup K\to H\cup K by

T(x)={y1,ifx{xn:n}yn+1,ifx=xnfor somen;T(x)=\begin{cases}y_{1},&\text{if}~{}x\notin\{x_{n}:n\in\mathbb{N}\}\\ y_{n+1},&\text{if}~{}x=x_{n}~{}\text{for~{}some}~{}n\in\mathbb{N};\end{cases}
T(y)={x1,ify{yn:n}xn+1,ify=ynfor somen.T(y)=\begin{cases}x_{1},&\text{if}~{}y\notin\{y_{n}:n\in\mathbb{N}\}\\ x_{n+1},&\text{if}~{}y=y_{n}~{}\text{for~{}some}~{}n\in\mathbb{N}.\end{cases}

Clearly, δ(H,K)=δ({xn},{yn})\delta(H,K)=\delta(\{x_{n}\},\{y_{n}\}) and limnxnz=δ(H,K)=limnynv\displaystyle\lim_{n\to\infty}\|x_{n}-z\|=\delta(H,K)=\lim_{n\to\infty}\|y_{n}-v\| for any zK,vH.z\in K,v\in H. Hence, rx(𝒪2(y))=δ(H,K)r_{x}\left(\mathcal{O}^{2}(y)\right)=\delta(H,K) for each xH,yK.x\in H,y\in K. Now,

TxTyδ(H,K)=rx(𝒪2(y))for eachxH,yK.\|Tx-Ty\|\leq\delta(H,K)=r_{x}\left(\mathcal{O}^{2}(y)\right)~{}~{}\mbox{for each}~{}x\in H,y\in K.

Also, if (x,y)H×K(x,y)\in H\times K with xy=d(H,K),\|x-y\|=d(H,K), then TxTy=d(H,K).\|Tx-Ty\|=d(H,K). Therefore TT is a relatively orbital nonexpansive mapping. As (A,B)(A,B) is a sharp proximinal pair, then so is (H,K)(H,K) and TT does not have any best proximity pair. Thus we have the following:

Proposition 3.2.

Let A,BA,B be two non-empty weakly compact convex substes of a Banach space XX. If (A,B)(A,B) is a sharp proximinal pair and (A,B)(A,B) has WBPP, then (A,B)(A,B) has weak proximal normal structure.

By Theorem 2.5 and Proposition 3.2 we have the following characterization:

Theorem 3.3.

Let A,BA,B be two non-empty weakly compact convex substes of a Banach space XX. If (A,B)(A,B) is a sharp proximinal pair, then (A,B)(A,B) has weak proximal normal structure if and only if every relatively orbital nonexpansive mapping T:ABABT:A\cup B\to A\cup B has a best proximity pair.

4. Pointwise Cyclic Contraction wrt Orbits

Let (A,B)(A,B) be a pair of subsets of a normed linear space. A cyclic map TT on ABA\cup B is said to be a proximal pointwise contraction if for any xA,x\in A, there exists α(x)[0,1)\alpha(x)\in[0,1) such that TxTyα(x)xy\|Tx-Ty\|\leq\alpha(x)\|x-y\| ([10]). Later many authors obtained the existence of a best proximity pair for certain types of pointwise cyclic contractions ([8], [11], [12]). Now we introduce the notion of pointwise cyclic contraction wrt orbits and prove the existence of a best proximity pair for such a map. Our result is a generalization of the main results given in the aforementioned articles.

Definition 4.1.

A cyclic map TT on a non-empty pair (A,B)(A,B) of subsets of a Banach space is said to be pointwise cyclic contraction wrt orbits if it satisfies

  • (i)

    TxTy=d(A,B)\|Tx-Ty\|=d(A,B) whenever xy=d(A,B)\|x-y\|=d(A,B) for (x,y)A×B(x,y)\in A\times B ;

  • (ii)

    for each (x,w)(A,B)(x,w)\in(A,B) there exists α(x),α(w)(0,1)\alpha(x),\alpha(w)\in(0,1) such that
    TxTyα(x)rx(𝒪2(y))+(1α(x))d(A,B)\|Tx-Ty\|\leq\alpha(x)r_{x}\left(\mathcal{O}^{2}(y)\right)+\left(1-\alpha(x)\right)d(A,B) for all yBy\in B, and
    TwTuα(w)rw(𝒪2(u))+(1α(w))d(A,B)\|Tw-Tu\|\leq\alpha(w)r_{w}\left(\mathcal{O}^{2}(u)\right)+\left(1-\alpha(w)\right)d(A,B) for all uA.u\in A.

It is easy to see that every pointwise cyclic contraction mapping wrt orbits is relatively orbital nonexpansive.

Theorem 4.2.

Suppose (A,B)(A,B) is a closed, weakly compact, convex, sharp proximinal pair of a Banach space XX and T:ABABT:A\cup B\to A\cup B is a pointwise cyclic contraction wrt orbits. Then TT has a best proximity pair.

Proof.

Let \mathscr{F} denote the collection of all non-empty proximal closed convex subsets (H1,H2)(H_{1},H_{2}) of (A0,B0)(A_{0},B_{0}) such that TH1H2,TH2H1TH_{1}\subseteq H_{2},TH_{2}\subseteq H_{1} and d(H1,H2)=d(A,B).d(H_{1},H_{2})=d(A,B). Since A0B0,A_{0}\cup B_{0}\in\mathscr{F}, we have \mathscr{F}\neq\emptyset. By Zorn’s lemma, \mathscr{F} has a minimal, say, (K1,K2).(K_{1},K_{2}). Let (x,y)(K1,K2)(x,y)\in(K_{1},K_{2}) such that xy=d(K1,K2)=d(A,B).\|x-y\|=d(K_{1},K_{2})=d(A,B). If δ(x,K2)=d(A,B),\delta(x,K_{2})=d(A,B), then d(A,B)=d(K1,K2)xTxδ(x,K2)=d(A,B).d(A,B)=d(K_{1},K_{2})\leq\|x-Tx\|\leq\delta(x,K_{2})=d(A,B). This infers xTx=d(A,B).\|x-Tx\|=d(A,B). Since, TT is pointwise cyclic contraction wrt orbits, we have TxT2x=d(A,B).\|Tx-T^{2}x\|=d(A,B). Therefore, (x,Tx)(x,Tx) is a best proximity pair. Similarly, if δ(y,K1)=d(A,B),\delta(y,K_{1})=d(A,B), then (y,Ty)(y,Ty) is a best proximity pair. Hence, we may assume that δ(x,K2)>d(A,B)\delta(x,K_{2})>d(A,B) and δ(y,K1)>d(A,B)\delta(y,K_{1})>d(A,B). Define

Kx\displaystyle K_{x} =\displaystyle= {zK1:zTxα(x)δ(x,K2)+(1α(x))d(A,B)};\displaystyle\left\{z\in K_{1}:\|z-Tx\|\leq\alpha(x)\delta(x,K_{2})+\left(1-\alpha(x)\right)d(A,B)\right\};
Ky\displaystyle K_{y} =\displaystyle= {wK2:wTyα(y)δ(y,K1)+(1α(x))d(A,B)}.\displaystyle\left\{w\in K_{2}:\|w-Ty\|\leq\alpha(y)\delta(y,K_{1})+\left(1-\alpha(x)\right)d(A,B)\right\}.

Since

TxTy=d(A,B)\displaystyle\|Tx-Ty\|=d(A,B) =\displaystyle= α(x)d(A,B)+(1α(x))d(A,B)\displaystyle\alpha(x)d(A,B)+(1-\alpha(x))d(A,B)
<\displaystyle< α(x)δ(x,K2)+(1α(x))d(A,B).\displaystyle\alpha(x)\delta(x,K_{2})+(1-\alpha(x))d(A,B).

Then (Ty,Tx)(Kx,Ky)(Ty,Tx)\in(K_{x},K_{y}) and hence KxKy.K_{x}\neq\emptyset\neq K_{y}. It is easy to see that (Kx,Ky)(K_{x},K_{y}) is convex. If {un}n=1Kx\{u_{n}\}_{n=1}^{\infty}\subset K_{x} is a sequence converges to uXu\in X weakly, then uK1.u\in K_{1}. Now, uTxlim inf{unTx:n}α(x)δ(x,K2)+(1α(x))d(A,B).\|u-Tx\|\leq\liminf\{\|u_{n}-Tx\|:n\in\mathbb{N}\}\leq\alpha(x)\delta(x,K_{2})+(1-\alpha(x))d(A,B). Then uKxu\in K_{x} and KxK_{x} is closed. Further, for any uKx,TuTyα(y)ry(𝒪2(u))+(1α(y))d(A,B)α(y)δ(y,K1)+(1α(y))d(A,B)u\in K_{x},~{}\|Tu-Ty\|\leq\alpha(y)r_{y}\left(\mathcal{O}^{2}(u)\right)+(1-\alpha(y))d(A,B)\leq\alpha(y)\delta(y,K_{1})+(1-\alpha(y))d(A,B). This implies that TuKy.Tu\in K_{y}. Hence, TKxKyTK_{x}\subseteq K_{y}. Similarly, TKyKxTK_{y}\subseteq K_{x}. Therefore, (Kx,Ky).(K_{x},K_{y})\in\mathscr{F}. By minimality, Kx=K,Ky=K2K_{x}=K_{,}~{}K_{y}=K_{2}. Now, for any wK2,wTyα(y)δ(y,K1)+(1α(y))d(A,B)<δ(y,K1)δ(K1,K2).w\in K_{2},\|w-Ty\|\leq\alpha(y)\delta(y,K_{1})+(1-\alpha(y))d(A,B)<\delta(y,K_{1})\leq\delta(K_{1},K_{2}). Hence, δ(Ty,K2)<δ(K1,K2).\delta(Ty,K_{2})<\delta(K_{1},K_{2}). Similarly, δ(Tx,K1)<δ(K1,K2).\delta(Tx,K_{1})<\delta(K_{1},K_{2}). Thus (K1,K2)(K_{1},K_{2}) has a proximinal nondiametral pair. By Theorem 2.6, T has a best proximity pair.

References

  • [1] Brodskiĭ, M. S., Milman, D. P., On the center of a convex set, Doklady Akad. Nauk SSSR (N.S.), vol 59, (1948) 837–840.
  • [2] Eldred, A. Anthony, Kirk, W. A., Veeramani, P., proximal normal structure and relatively nonexpansive mappings, Studia Math., vol 171(3), (2005) 283–293.
  • [3] Espínola, Rafa, A new approach to relatively nonexpansive mappings, Proc. Amer. Math. Soc., vol 136(6), (2008) 1987–1995.
  • [4] Gabeleh, Moosa, Shahzad, Naseer, Seminormal structure and fixed points of cyclic relatively nonexpansive mappings, Abstr. Appl. Anal., (2014) 1085-3375.
  • [5] Gabeleh, Moosa, A characterization of proximal normal structure via proximal diametral sequences, J. Fixed Point Theory Appl. vol 19(4), (2017) 2909–2925.
  • [6] Kirk, W. A., Shahzad, Naseer, Normal structure and orbital fixed point conditions, J. Math. Anal. Appl. vol 463(2), (2018) 461–476.
  • [7] Raju Kosuru, G. Sankara, Veeramani, P., On existence of best proximity pair theorems for relatively nonexpansive mappings, J. Nonlinear Convex Anal., vol 11(1), (2010) 71–77.
  • [8] Kosuru, G. Sankara Raju, Veeramani, P., A note on existence and convergence of best proximity points for pointwise cyclic contractions, Numer. Funct. Anal. Optim., vol 32(7), (2011) 821–830.
  • [9] Suzuki, Tomonari, Kikkawa, Misako, Vetro, Calogero, The existence of best proximity points in metric spaces with the property UC, Nonlinear Anal., vol 71(7-8), (2009) 2918–2926.
  • [10] Anuradha, J. and Veeramani, P., Proximal pointwise contraction, Topology Appl., vol 156(18), (2009) 2942–2948.
  • [11] Mongkolkeha, Chirasak and Kumam, Poom, Best proximity points for asymptotic proximal pointwise weaker Meir-Keeler-type ψ\psi-contraction mappings, J. Egyptian Math. Soc., vol 21(2), (2013) 87–90.
  • [12] Gabeleh, Moosa, On generalized pointwise noncyclic contractions without proximal normal structure, Ann. Funct. Anal., vol 9(2), (2018) 220–232.