Strong convergence of hybrid Halpern processes in a Banach space Yuan Hecai

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J. Nonlinear Sci. Appl. 9 (2016), 1776–1786
Research Article
Strong convergence of hybrid Halpern processes in a
Banach space
Yuan Hecaia,∗, Zhaocui Minb
a
School of Mathematics and Information Science, North China University of Water Resources and Electric Power, Henan, China.
b
School of Science, Hebei University of Engineering, Hebei, China.
Communicated by N. Hussain
Abstract
The purpose of this paper is to investigate convergence of a hybrid Halpern process for fixed point and
equilibrium problems. Strong convergence theorems of common solutions are established in a strictly convex
c
and uniformly smooth Banach space which also has the Kadec-Klee property. 2016
All rights reserved.
Keywords: Asymptotically nonexpansive mapping, fixed point, quasi-φ-nonexpansive mapping,
equilibrium problem, generalized projection.
2010 MSC: 65J15, 90C30.
1. Introduction and Preliminaries
Let E be a real Banach space and let E ∗ be the dual space of E. Let C be a nonempty subset of a E.
Let g be a bifunction from C × C to R, where R denotes the set of real numbers. Recall that the following
equilibrium problem [4]: Find x̄ ∈ C such that
g(x̄, y) ≥ 0
∀y ∈ C.
(1.1)
We use Sol(g) to denote the solution set of equilibrium problem (1.1). That is,
Sol(g) = {x ∈ C : g(x, y) ≥ 0
∀y ∈ C}.
Given a mapping A : C → E ∗ , let
G(x, y) = hAx, y − xi
∗
Corresponding author
Email address: hsyuanhc@yeah.net (Yuan Hecai)
Received 2015-09-12
∀x, y ∈ C.
Y. Hecai, Z. Min, J. Nonlinear Sci. Appl. 9 (2016), 1776–1786
1777
Then x̄ ∈ Sol(g) iff x̄ is a solution of the following variational inequality. Find x̄ such that
hAx̄, y − x̄i ≥ 0
∀y ∈ C.
(1.2)
The following restrictions (R-a), (R-b), (R-c) and (R-d) imposed on g are essential in this paper.
(R-a) g(y, x) + g(x, y) ≤ 0 ∀x, y ∈ C;
(R-b) g(x, x) = 0 ∀x ∈ C;
(R-c) y 7→ g(x, y) is weakly lower semi-continuous and convex ∀x ∈ C;
(R-d) g(x, y) ≥ lim supt↓0 g(tz + (1 − t)x, y), ∀x, y, z ∈ C.
Equilibrium problem (1.1) is a bridge between nonlinear functional analysis and convex optimization
theory. Many problems arising in economics, medicine, engineering and physics can be studied via the
problem; see [3, 7, 8, 9, 10, 12, 14, 18, 19, 25] and the references therein.
∗
Recall that the normalized duality mapping J from E to 2E is defined by
Jx := {x∗ ∈ E ∗ : kx∗ k2 = hx, x∗ i = kxk2 }.
Let S E be the unit sphere of E. Recall that E is said to be a strictly convex space iff kx + yk < 2 for all
x, y ∈ S E and x 6= y. Recall that E is said to have a Gâteaux differentiable norm iff limt→∞ (ktx + yk − tkxk)
exists ∀x, y ∈ S E . In this case, we also say that E is smooth. E is said to have a uniformly Gâteaux
differentiable norm if for every y ∈ S E , the limit is attained uniformly for each x ∈ S E . E is also said to
have a uniformly Fréchet differentiable norm iff the above limit is attained uniformly for each x, y ∈ S E . In
this case, we say that E is uniformly smooth. It is known if E is uniformly smooth, then J is uniformly
norm-to-norm continuous on every bounded subset of E; if E is a smooth Banach space, then J is singlevalued and demicontinuous, i.e., continuous from the strong topology of E to the weak star topology of E;
if E is a strictly convex Banach space, then J is strictly monotone; if E is a reflexive and strictly convex
Banach space with a strictly convex dual E ∗ and J ∗ : E ∗ → E is the normalized duality mapping in E ∗ ,
then J −1 = J ∗ ; if E is a smooth, strictly convex and reflexive Banach space, then J is single-valued, oneto-one and onto; if E is a uniformly smooth, then it is smooth and reflexive. It is also known that E ∗ is
uniformly convex if and only if E is uniformly smooth. From now on, we use * and → to stand for the weak
convergence and strong convergence, respectively. Recall that E is said to have the Kadec-Klee property
if limn→∞ kxn − xk = 0 as n → ∞ for any sequence {xn } ⊂ E and x ∈ E with xn * x and kxn k → kxk
as n → ∞. It is well known that if E is a uniformly convex Banach spaces, then E has the Kadec-Klee
property; see [11] and the references therein.
Let f be a mapping on C. Recall that a point p is said to be a fixed point of f if and only if p = f p. p is
said to be an asymptotic fixed point of f if and only if C contains a sequence {xn }, where xn * p such that
g
xn − f xn → 0. From now on, We use F ix(f ) to stand for the fixed point set and F
ix(f ) to stand for the
asymptotic fixed point set. f is said to be closed if for any sequence {xn } ⊂ C such that limn→∞ xn = x0
and limn→∞ f xn = y 0 , then f x0 = y 0 .
Next, we assume that E is a smooth Banach space. Consider the functional defined on E by
φ(x, y) = kxk2 + kyk2 − 2hx, Jyi
∀x, y ∈ E.
Let C be a closed convex subset of a real Hilbert space H. For any x ∈ H, there exists a unique nearest
point in C, denoted by PC x, such that kx − PC xk ≤ kx − yk for all y ∈ C. The operator PC is called the
metric projection from H onto C. It is known that PC is firmly nonexpansive. In [2], Alber studied a new
mapping ΠC in a Banach space E which is an analogue of PC , the metric projection, in Hilbert spaces.
Recall that the generalized projection ΠC : E → C is a mapping that assigns to an arbitrary point x ∈ E
the minimum point of φ(x, y). It is obvious from the definition of function φ that
(kyk + kxk)2 ≥ φ(x, y) ≥ (kxk − kyk)2
∀x, y ∈ E,
(1.3)
Y. Hecai, Z. Min, J. Nonlinear Sci. Appl. 9 (2016), 1776–1786
1778
and
φ(x, y) − 2hz − x, Jz − Jyi = φ(x, z) + φ(z, y)
∀x, y, z ∈ E.
(1.4)
Remark 1.1. If E is a strictly convex, reflexive and smooth Banach space, then φ(x, y) = 0 iff x = y.
Recall that a mapping f is said to be relatively nonexpansive ([5]) iff
φ(p, x) ≥ φ(p, f x)
g
∀x ∈ C, ∀p ∈ F
ix(f ) = F ix(f ) 6= ∅.
f is said to be relatively asymptotically nonexpansive ([1]) iff
g
φ(p, f n x) ≤ (1 + µn )φ(p, x) ∀x ∈ C, ∀p ∈ F
ix(f ) = F ix(f ) 6= ∅, ∀n ≥ 1,
where {µn } ⊂ [0, ∞) is a sequence such that µn → 0 as n → ∞.
Remark 1.2. The class of relatively asymptotically nonexpansive mappings, which include the class of relatively nonexpansive mappings ([5]) as a special case, were first considered in [1] and [26]; see the references
therein.
f is said to be quasi-φ-nonexpansive ([21]) iff
φ(p, x) ≥ φ(p, f x)
∀x ∈ C, ∀p ∈ F ix(f ) 6= ∅.
f is said to be asymptotically quasi-φ-nonexpansive ([22]) iff there exists a sequence {µn } ⊂ [0, ∞) with
µn → 0 as n → ∞ such that
φ(p, f n x) ≤ (1 + µn )φ(p, x)
∀x ∈ C, ∀p ∈ F ix(f ) 6= ∅, ∀n ≥ 1.
Remark 1.3. The class of asymptotically quasi-φ-nonexpansive mappings, which include the class of quasiφ-nonexpansive mappings ([21]) as a special case, were first considered in [20] and [22]; see the references
therein.
Remark 1.4. The class of asymptotically quasi-φ-nonexpansive mappings is more desirable than the class
of asymptotically relatively nonexpansive mappings. Quasi-φ-nonexpansive mappings and asymptotically
g
quasi-φ-nonexpansive do not require F ix(f ) = F
ix(f ).
Recently, Qin and Wang ([23]) introduced the asymptotically quasi-φ-nonexpansive mapping in the intermediate sense, which is a generalization of asymptotically quasi-nonexpansive mapping in the intermediate
sense in Banach spaces. Recall that f is said to be asymptotically quasi-φ-nonexpansive in the intermediate
sense iff F ix(f ) 6= ∅ and
lim sup
sup
φ(p, f n x) − φ(p, x) ≤ 0.
n→∞ p∈F ix(f ),x∈C
The so called convex feasibility problems which capture lots of applications in various subjects are to
find a special point in the intersection of convex (solution) sets. Recently, many author studied fixed points
of nonexpansive mappings and equilibrium (1.1); see [6], [13], [15]-[17], [24], [27]-[33] and the references
therein. The aim of this paper is to investigate convergence of a hybrid Halpern process for fixed point and
the equilibrium problem. Strong convergence theorems of common solutions are established in a strictly
convex and uniformly smooth Banach space which also has the Kadec-Klee property. In order to our main
results, we also need the following lemmas.
Lemma 1.5 ([2]). Let E be a strictly convex, reflexive and smooth Banach space and let C be a convex and
closed subset of E. Let x ∈ E. Then
φ(y, ΠC x) ≤ φ(y, x) − φ(ΠC x, x)
∀y ∈ C.
Y. Hecai, Z. Min, J. Nonlinear Sci. Appl. 9 (2016), 1776–1786
1779
Lemma 1.6 ([4]). Let C be a convex and closed subset of a smooth Banach space E and let x ∈ E. Then
hy − x0 , Jx − Jx0 i ≤ 0 ∀y ∈ C iff x0 = ΠC x.
Lemma 1.7 ([4], [21]). Let C be a closed convex subset of a smooth, strictly convex and reflexive Banach
space E. Let g be a bifunction from C × C to R satisfying (R-a), (R-b), (R-c) and (R-d). Let r > 0 and
x ∈ E. Then
(a) There exists z ∈ C such that
hy − z, Jz − Jxi + rg(z, y) ≥ 0
∀y ∈ C.
(b) Define a mapping τr : E → C by
τr x = {z ∈ C : hy − z, Jz − Jxi + rg(z, y) ≥ 0
∀y ∈ C}.
Then the following conclusions hold:
(1) τr is single-valued;
(2) τr is a firmly nonexpansive-type mapping, i.e., for all x, y ∈ E,
hτr x − τr y, Jx − Jyi ≥ hτr x − τr y, Jτr x − Jτr yi;
(3)
(4)
(5)
(6)
F ix(τr ) = Sol(g);
τr is quasi-φ-nonexpansive;
φ(q, τr x) ≤ φ(q, x) − φ(τr x, x)
Sol(g) is convex and closed.
∀q ∈ F (τr );
Lemma 1.8 ([23]). Let E be a uniformly smooth and strictly convex Banach space which also enjoys the
Kadec-Klee property. Let C be a nonempty closed and convex subset of E. Let f : C → C be a closed
asymptotically quasi-φ-nonexpansive mapping in the intermediate sense. Then F ix(f ) is a convex closed
subset of C.
2. Main results
Theorem 2.1. Let E be a strictly convex and uniformly smooth Banach space which also has the KadecKlee property. Let C be a convex and closed subset of E and let Λ be an index set. Let gi be a bifunction
from C × C to R satisfying (R-a), (R-b), (R-c), (R-d) and let fi : C → C be an asymptotically quasi-φnonexpansive mapping in the intermediate sense for every i ∈ Λ.
T Assume that fi is continuous and uniformly
asymptotically regular on C for every i ∈ Λ and ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ) is nonempty and bounded. Let
{xn } be a sequence generated in the following manner:


x0 ∈ E chosen arbitrarily,




C(1,i) = C,




x1 = ΠC1 :=∩i∈Λ C(1,i) x0 ,

y(n,i) = J −1 ((1 − α(n,i) )Jfin z(n,i) + α(n,i) Jx1 ),



C(n+1,i) = {z ∈ C(n,i) : φ(z, xn ) + α(n,i) D + (1 − α(n,i) )ξ(n,i) ≥ φ(z, y(n,i) )},





Cn+1 = ∩i∈Λ C(n+1,i) ,




xn+1 = ΠCn+1 x1 ,
T
where ξ(n,i) = max{0, supp∈F ix(fi ),x∈C φ(p, fin x) − φ(p, x) , D = sup{φ(w, x1 ) : w ∈ ∩i∈Λ F ix(fi )
∩i∈Λ Sol(gi )}, z(n,i) ∈ Cn such that r(n,i) gi (z(n,i) , y) ≥ hz(n,i) − y, Jz(n,i) − Jxn i ∀y ∈ Cn , {α(n,i) } is
a real sequence in (0, 1) such that limn→∞ α(n,i) = 0 and {r(n,i) } is a real sequence in [ri , ∞), where
{ri } is a positive real number sequence for every i ∈ Λ. Then the sequence {xn } converges strongly to
Π∩i∈Λ F ix(fi ) T ∩i∈Λ Sol(gi ) x1 .
Y. Hecai, Z. Min, J. Nonlinear Sci. Appl. 9 (2016), 1776–1786
1780
Proof. We divide the proof into six steps.
T
Step 1. We prove that ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ) is convex and closed.
In the light of Lemma 1.7Tand Lemma 1.8, we easily find the conclusion. This shows that the generalized
projection onto ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ) is well defined.
Step 2. We prove that Cn is convex and closed.
C(1,i) = C is convex and closed. Next, we assume that C(k,i) is convex and closed for some k ≥
1. For q1 , q2 ∈ C(k+1,i) ⊂ C(k,i) , we have q = tq1 + (1 − t)q2 ∈ C(k,i) , where t ∈ (0, 1). Notice that
φ(q1 , xk ) + α(k,i) D + (1 − α(k,i) )ξ(k,i) ≥ φ(q1 , y(k,i) ) and φ(q2 , xk ) + α(k,i) D + (1 − α(k,i) )ξ(k,i) ≥ φ(q2 , y(k,i) ).
The above inequalities are equivalent to
kxk k2 − ky(k,i) k2 + α(k,i) D + (1 − α(k,i) )ξ(k,i) ≥ 2hq1 , Jxk − Jy(k,i) i
and
kxk k2 − ky(k,i) k2 + α(k,i) D + (1 − α(k,i) )ξ(k,i) ≥ 2hq2 , Jxk − Jy(k,i) i.
Using the above inequalities, we find that
kxk k2 − ky(k,i) k2 + α(k,i) D + (1 − α(k,i) )ξ(k,i) ≥ 2hq, Jxk − Jy(k,i) i.
That is,
φ(q, xk ) + α(k,i) D + (1 − α(k,i) )ξ(k,i) ≥ φ(q, y(k,i) ),
where q ∈ C(k,i) . This finds that C(k+1,i) is convex and closed. We conclude that C(n,i) is convex and closed.
This in turn implies that Cn = ∩i∈Λ C(n,i)
T is convex and closed. Hence, ΠCn+1 x1 is well defined.
Step 3. We prove
that ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ) ⊂ Cn .
T
T
∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ) ⊂ C1 = C is clear.
T Suppose that ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ) ⊂ C(k,i) for some
positive integer k. For any w ∈ ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ) ⊂ C(k,i) , we see that
φ(w, xk ) + α(k,i) D + (1 − α(k,i) )ξ(k,i) ≥ φ(w, xk ) + α(k,i) φ(w, x1 ) − α(k,i) φ(w, xk ) + (1 − α(k,i) )ξ(k,i)
≥ α(k,i) φ(w, x1 ) + (1 − α(k,i) )φ(w, τ(k,i) xk ) + (1 − α(k,i) )ξ(k,i)
= α(k,i) φ(w, x1 ) + (1 − α(k,i) )φ(w, fik z(k,i) )
≥ kwk2 + α(k,i) kx1 k2 + (1 − α(k,i) )kfik z(k,i) k2
− 2(1 − α(k,i) )hw, Jfik z(k,i) i − 2α(k,i) hw, Jx1 i
2
= kwk + kα(k,i) Jx1 + (1 − α(k,i) )Jfik z(k,i) )k2
− 2hw, α(k,i) Jx1 + (1 − α(k,i) )Jfik z(k,i) )i
= φ(w, J −1 (α(k,i) Jx1 + (1 − α(k,i) )Jfik z(k,i) ))
= φ(w, y(k,i) ),
where D := supw∈∩i∈Λ F ix(fi ) T ∩i∈Λ Sol(gi ) φ(w, x1 ). This proves w ∈ C(k+1,i) . Hence, we have
∩i∈Λ F ix(fi )
This in turn implies that ∩i∈Λ F ix(fi )
T
\
∩i∈Λ Sol(gi ) ⊂ C(n,i) .
∩i∈Λ Sol(gi ) ⊂ ∩i∈Λ C(n,i) . It follows that
∩i∈Λ F ix(fi )
\
∩i∈Λ Sol(gi ) ⊂ Cn .
Step 4. We prove that {xn } is a bounded sequence.
Using Lemma 1.6, we see
hxn − z, Jx1 − Jxn i ≥ 0 ∀z ∈ Cn .
(2.1)
Y. Hecai, Z. Min, J. Nonlinear Sci. Appl. 9 (2016), 1776–1786
Since ∩i∈Λ F ix(fi )
T
1781
∩i∈Λ Sol(gi ) is subset of Cn , we find that
hxn − w, Jx1 − Jxn i ≥ 0 ∀w ∈ ∩i∈Λ F (Ti )
\
∩i∈Λ EF (fi ).
(2.2)
Using Lemma 1.5, we get
φ(Π∩i∈Λ F ix(fi ) T ∩i∈Λ Sol(gi ) x1 , xn ) + φ(xn , x1 ) ≤ φ(Π∩i∈Λ F ix(fi ) T ∩i∈Λ Sol(gi ) x1 , x1 ).
Hence, we have
φ(xn , x1 ) ≤ φ(Π∩i∈Λ F ix(fi ) T ∩i∈Λ Sol(gi ) x1 , x1 ).
This implies that {φ(xn , x1 )} is a bounded sequence. It follows from (1.3) that sequence {xn } is also a
bounded sequence.
T
Step 5. Since the space is reflexive, we may assume that xn * x̄. We prove x̄ ∈ ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ).
Since Cn is convex and closed, we have x̄ ∈ Cn . Hence, φ(xn , x1 ) ≤ φ(x̄, x1 ). On the other hand, we see
from the weakly lower semicontinuity of the norm that
φ(x̄, x1 ) ≥ lim sup φ(xn , x1 )
n→∞
= lim inf (kxn k2 + kx1 k2 − 2hxn , Jx1 i)
n→∞
2
= kx̄k + kx1 k2 − 2hx̄, Jx1 i
= φ(x̄, x1 ).
This implies that φ(xn , x1 ) → φ(x̄, x1 ) as n → ∞. Hence, we have limn→∞ kxn k = kx̄k. In view of KadecKlee property of E, we find that xn → x̄ as n → ∞. Since xn+1 ∈ Cn , one has φ(xn , x1 ) ≤ φ(xn+1 , x1 ). So,
{φ(xn , x1 )} is a nondecreasing sequence. Since φ(xn , x1 ) ≤ φ(x̄, x1 ), one see that limn→∞ φ(xn , x1 ) exists.
This implies that limn→∞ φ(xn+1 , xn ) = 0. Since xn+1 ∈ Cn+1 , we find that
φ(xn+1 , xn ) + α(n,i) D + (1 − α(n,i) )ξ(n,i) ≥ φ(xn+1 , y(n,i) ) ≥ 0.
Using restriction imposed on {α(n,i) }, on has limn→∞ φ(xn+1 , y(n,i) ) = 0. Using (1.3), we see that
lim (ky(n,i) k − kxn+1 k) = 0,
n→∞
which in turn finds
lim ky(n,i) k = kx̄k.
n→∞
That is,
lim kJy(n,i) k = kJ x̄k = lim ky(n,i) k = kx̄k.
n→∞
n→∞
E∗
Since both
and E are reflexive spaces, we may assume that Jy(n,i) * y (∗,i) ∈ E ∗ . This shows that there
exists an element y i ∈ E such that y (∗,i) = Jy i . It follows that
kxn+1 k2 + kJy(n,i) k2 − 2hxn+1 , Jy(n,i) i = kxn+1 k2 + ky(n,i) k2 − 2hxn+1 , Jy(n,i) i
= φ(xn+1 , y(n,i) ).
Taking lim inf n→∞ on the both sides of the equality above yields that
0 ≤ φ(x̄, y i ) = kx̄k2 − 2hx̄, Jy i i + ky i k2
= kx̄k2 − 2hx̄, Jy i i + kJy i k2
≤ kx̄k2 − 2hx̄, y (∗,i) i + ky (∗,i) k2
≤ 0.
This implies y i = x̄. Hence, we have y (∗,i) = J x̄. It follows that Jy(n,i) * J x̄ ∈ E ∗ . Since limn→∞ α(n,i) = 0
for every i ∈ Λ, we find limn→∞ kJy(n,i) − Jfin z(n,i) k = 0. Using the fact
Y. Hecai, Z. Min, J. Nonlinear Sci. Appl. 9 (2016), 1776–1786
1782
kJ x̄ − Jfin z(n,i) k ≤ kJy(n,i) − J x̄k + kJy(n,i) − Jfin z(n,i) k,
one has Jfin z(n,i) → J x̄ as n → ∞ for every i ∈ λ. Since J −1 is demicontinuous, we have fin z(n,i) * x̄ for
every i ∈ ∆. Since |kfin z(n,i) k − kx̄k| ≤ kJ(fin z(n,i) ) − J x̄k, one has kfin z(n,i) k → kx̄k, as n → ∞ for every
i ∈ Λ. Since E has the Kadec-Klee property, one obtains
lim kfin z(n,i) − x̄k = 0.
n→∞
On the other hand, we have
kfin+1 z(n,i) − x̄k ≤ kfin+1 z(n,i) − fin z(n,i) k + kfin z(n,i) − x̄k.
In view of the uniformly asymptotic regularity of fi , one has
lim kfin+1 z(n,i) − x̄k = 0,
n→∞
that is, fi fin z(n,i) − x̄ → 0 as n → ∞. Since every fi is a continuous, we find that fi x̄ = x̄ for every i ∈ Λ.
Next, we prove x̄ ∈ ∩i∈Λ Sol(gi ).
Since fi is continuous, using (2.1), we find that limn→∞ φ(xn+1 , z(n,i) ) = 0. Using (1.3), we see that
limn→∞ (kz(n,i) k − kxn+1 k) = 0, which in turn finds limn→∞ kz(n,i) k = kx̄k. That is,
lim kJz(n,i) k = kJ x̄k = lim kz(n,i) k = kx̄k.
n→∞
n→∞
Since both E ∗ and E are reflexive, we may assume that Jz(n,i) * z (∗,i) ∈ E ∗ . This shows that there exists
an element z i ∈ E such that z (∗,i) = Jz i . It follows that
kxn+1 k2 + kJz(n,i) k2 − 2hxn+1 , Jz(n,i) i = kxn+1 k2 + kz(n,i) k2 − 2hxn+1 , Jz(n,i) i
= φ(xn+1 , z(n,i) ).
Taking lim inf n→∞ on the both sides of the equality above yields that
φ(x̄, z i ) = kx̄k2 − 2hx̄, Jz i i + kz i k2
= kx̄k2 − 2hx̄, Jz i i + kJz i k2
≤ kx̄k2 − 2hx̄, z (∗,i) i + kz (∗,i) k2
≤ 0.
This implies z i = x̄. Hence, we have z (∗,i) = J x̄. It follows that Jz(n,i) * J x̄ ∈ E ∗ . Using the Kadec-Klee
property we find that Jz(n,i) → J x̄ ∈ E ∗ . Since J −1 is demicontinuous, we have z(n,i) * x̄. Using the fact
that
kJy(n,i) − Jxn k ≤ kJy(n,i) − J x̄k + kJxn − J x̄k,
we see that lim kJy(n,i) − Jxn k = 0. In view of z(n,i) = τr(n,i) xn , we see that
n→∞
ky − z(n,i) kkJz(n,i) − Jxn k ≥ r(n,i) gi (y, z(n,i) ) ∀y ∈ Cn .
It follows that gi (y, x̄) ≤ 0 ∀y ∈ Cn . For 0 < ti < 1 and y ∈ Cn , define y(t,i) = ti y + (1 − ti )x̄. It follows that
y(t,i) ∈ Cn , which yields that gi (y(t,i) , x̄) ≤ 0. Hence, we have
0 = gi (y(t,i) , y(t,i) ) ≤ ti gi (y(t,i) , y) + (1 − ti )gi (y(t,i) , x̄) ≤ ti gi (y(t,i) , y).
That is, gi (y(t,i) , y) ≥ 0. Letting ti ↓ 0, we obtain from (R − d) that gi (x̄, y) ≥ 0, ∀y ∈ C. This implies
that x̄ ∈ Sol(g
T i ) for every i ∈ Λ. This shows that x̄ ∈ ∩i∈Λ Sol(gi ). This completes the proof that x̄ ∈
∩i∈Λ F ix(Ti ) ∩i∈Λ Sol(gi ).
Y. Hecai, Z. Min, J. Nonlinear Sci. Appl. 9 (2016), 1776–1786
1783
Step 6. Prove x̄ = Π∩i∈Λ F ix(fi ) T ∩i∈Λ Sol(gi ) x1 .
Letting n → ∞ in (2.2), we see that
hx̄ − w, Jx1 − J x̄i ≥ 0 ∀w ∈ ∩i∈Λ F ix(fi )
\
∩i∈Λ Sol(gi ).
In view of Lemma 1.6, we find that that x̄ = Π∩i∈Λ F ix(fi ) T ∩i∈Λ Sol(gi ) x1 . This completes the proof.
If f is a asymptotically quasi-φ-nonexpansive mapping, we find from Theorem 2.1 the following.
Corollary 2.2. Let E be a strictly convex and uniformly smooth Banach space which also has the KadecKlee property. Let C be a convex and closed subset of E and let Λ be an index set. Let gi be a bifunction
from C × C to R satisfying (R-a), (R-b), (R-c), (R-d) and let fi : C → C be an asymptotically quasi-φnonexpansive mapping for every i ∈ Λ. Assume
that fi is continuous and uniformly asymptotically regular
T
on C for every i ∈ Λ and ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ) is nonempty and bounded. Let {xn } be a sequence
generated in the following manner:


x0 ∈ E chosen arbitrarily,





C(1,i) = C,





x1 = ΠC1 :=∩i∈Λ C(1,i) x0 ,
y(n,i) = J −1 ((1 − α(n,i) )Jfin z(n,i) + α(n,i) Jx1 ),



C(n+1,i) = {z ∈ C(n,i) : φ(z, xn ) + α(n,i) D ≥ φ(z, y(n,i) )},





Cn+1 = ∩i∈Λ C(n+1,i) ,




xn+1 = ΠCn+1 x1 ,
T
where D = sup{φ(w, x1 ) : w ∈ ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi )}, z(n,i) ∈ Cn such that r(n,i) gi (z(n,i) , y) ≥ hz(n,i) −
y, Jz(n,i) − Jxn i ∀y ∈ Cn , {α(n,i) } is a real sequence in (0, 1) such that limn→∞ α(n,i) = 0 and {r(n,i) } is a
real sequence in [ri , ∞), where {ri } is a positive real number sequence for every i ∈ Λ. Then the sequence
{xn } converges strongly to Π∩i∈Λ F ix(fi ) T ∩i∈Λ Sol(gi ) x1 .
If T is a quasi-φ-nonexpansive mapping, we find from Theorem 2.1 the following.
Corollary 2.3. Let E be a strictly convex and uniformly smooth Banach space which also has the KKP.
Let C be a convex and closed subset of E and let Λ be an index set. Let gi be a bifunction from C × C to
R satisfying (R-a), (R-b), (R-c), (R-d) and let fi : C → C be a quasi-φ-nonexpansive
mapping for every
T
i ∈ Λ. Assume that fi is continuous for every i ∈ Λ and ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ) is nonempty. Let {xn }
be a sequence generated in the following manner:


x0 ∈ E chosen arbitrarily,





C(1,i) = C,





x1 = ΠC1 :=∩i∈Λ C(1,i) x0 ,
y(n,i) = J −1 ((1 − α(n,i) )Jfi z(n,i) + α(n,i) Jx1 ),



C(n+1,i) = {z ∈ C(n,i) : φ(z, xn ) ≥ φ(z, y(n,i) )},





Cn+1 = ∩i∈Λ C(n+1,i) ,




xn+1 = ΠCn+1 x1 ,
where z(n,i) ∈ Cn such that r(n,i) gi (z(n,i) , y) ≥ hz(n,i) − y, Jz(n,i) − Jxn i ∀y ∈ Cn , {α(n,i) } is a real sequence
in (0, 1) such that limn→∞ α(n,i) = 0 and {r(n,i) } is a real sequence in [ri , ∞), where {ri } is a positive real
number sequence for every i ∈ Λ. Then the sequence {xn } converges strongly to Π∩i∈Λ F ix(fi ) T ∩i∈Λ Sol(gi ) x1 .
In the Hilbert spaces, we have the following deduced results.
Y. Hecai, Z. Min, J. Nonlinear Sci. Appl. 9 (2016), 1776–1786
1784
Corollary 2.4. Let E be a Hilbert space. Let C be a convex and closed subset of E and let Λ be an index
set. Let gi be a bifunction from C × C to R satisfying (R-a), (R-b), (R-c), (R-d) and let fi : C → C be
an asymptotically quasi-nonexpansive mapping in the intermediate sense for every i ∈ Λ. TAssume that fi
is continuous and uniformly asymptotically regular on C for every i ∈ Λ and ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ) is
nonempty and bounded. Let {xn } be a sequence generated in the following manner:


x0 ∈ E chosen arbitrarily,




C(1,i) = C,




x1 = PC1 :=∩i∈Λ C(1,i) x0 ,

y(n,i) = (1 − α(n,i) )fin z(n,i) + α(n,i) x1 ,



C(n+1,i) = {z ∈ C(n,i) : kz − xn k2 + α(n,i) D + (1 − α(n,i) )ξ(n,i) ≥ kz − y(n,i) k2 },





Cn+1 = ∩i∈Λ C(n+1,i) ,




xn+1 = PCn+1 x1 ,
where
ξ(n,i) = max{0,
sup
\
kp − fin xk2 − kp − xk2 , D = sup{kw − x1 k2 : w ∈ ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi )},
p∈F ix(fi ),x∈C
z(n,i) ∈ Cn such that r(n,i) gi (z(n,i) , y) ≥ hz(n,i) − y, z(n,i) − xn i ∀y ∈ Cn , {α(n,i) } is a real sequence in (0, 1)
such that limn→∞ α(n,i) = 0 and {r(n,i) } is a real sequence in [ri , ∞), where {ri } is a positive real number
sequence for every i ∈ Λ. Then the sequence {xn } converges strongly to Π∩i∈Λ F ix(fi ) T ∩i∈Λ Sol(gi ) x1 .
If T f is an asymptotically quasi-nonexpansive mapping, we find from Theorem 2.1 the following.
Corollary 2.5. Let E be a Hilbert space. Let C be a convex and closed subset of E and let Λ be an index
set. Let gi be a bifunction from C × C to R satisfying (R-a), (R-b), (R-c), (R-d) and let fi : C → C be an
asymptotically quasi-nonexpansive mapping for every i ∈ Λ. T
Assume that fi is continuous and uniformly
asymptotically regular on C for every i ∈ Λ and ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ) is nonempty and bounded. Let
{xn } be a sequence generated in the following manner:


x0 ∈ E chosen arbitrarily,





C(1,i) = C, x1 = PC1 :=∩i∈Λ C(1,i) x0 ,
y(n,i) = (1 − α(n,i) )fin z(n,i) + α(n,i) x1 ,



C(n+1,i) = {z ∈ C(n,i) : kz − xn k2 + α(n,i) D ≥ kz − y(n,i) k2 },



Cn+1 = ∩i∈Λ C(n+1,i) , xn+1 = PCn+1 x1 ,
T
where D = sup{kw − x1 k2 : w ∈ ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi )}, z(n,i) ∈ Cn such that r(n,i) gi (z(n,i) , y) ≥
hz(n,i) − y, z(n,i) − xn i ∀y ∈ Cn , {α(n,i) } is a real sequence in (0, 1) such that limn→∞ α(n,i) = 0 and {r(n,i) } is
a real sequence in [ri , ∞), where {ri } is a positive real number sequence for every i ∈ Λ. Then the sequence
{xn } converges strongly to Π∩i∈Λ F ix(fi ) T ∩i∈Λ Sol(gi ) x1 .
If f is a closed quasi-nonexpansive mapping, we find from Theorem 2.1 the following.
Corollary 2.6. Let E be a Hilbert space. Let C be a convex and closed subset of E and let Λ be an index
set. Let gi be a bifunction from C × C to R satisfying (R-a), (R-b), (R-c), (R-d) and let fi : C → C be
a quasi-nonexpansive mapping for every i ∈ Λ.T Assume that fi is continuous and uniformly asymptotically
regular on C for every i ∈ Λ and ∩i∈Λ F ix(fi ) ∩i∈Λ Sol(gi ) is nonempty. Let {xn } be a sequence generated
in the following manner:
Y. Hecai, Z. Min, J. Nonlinear Sci. Appl. 9 (2016), 1776–1786
1785


x0 ∈ E chosen arbitrarily,




C(1,i) = C, x1 = PC1 :=∩i∈Λ C(1,i) x0 ,

y(n,i) = (1 − α(n,i) )fi z(n,i) + α(n,i) x1 ,



C(n+1,i) = {z ∈ C(n,i) : kz − xn k2 ≥ kz − y(n,i) k2 },




Cn+1 = ∩i∈Λ C(n+1,i) , xn+1 = PCn+1 x1 ,
where z(n,i) ∈ Cn such that r(n,i) gi (z(n,i) , y) ≥ hz(n,i) − y, z(n,i) − xn i ∀y ∈ Cn , {α(n,i) } is a real sequence
in (0, 1) such that limn→∞ α(n,i) = 0 and {r(n,i) } is a real sequence in [ri , ∞), where {ri } is a positive real
number sequence for every i ∈ Λ. Then the sequence {xn } converges strongly to Π∩i∈Λ F ix(fi ) T ∩i∈Λ Sol(gi ) x1 .
Acknowledgements
The authors are grateful to the reviewers for useful suggestions which improve the contents of this article.
References
[1] R. P. Agarwal, Y. J. Cho, X. Qin, Generalized projection algorithms for nonlinear operators, Numer. Funct. Anal.
Optim., 28 (2007), 1197–1215. 1, 1.2
[2] Y. I. Alber, Metric and generalized projection operators in Banach spaces: properties and applications, Lecture
Notes in Pure and Appl. Math., Dekker, New York, 178 (1996), 15–50. 1, 1.5
[3] B. A. Bin Dehaish, X. Qin, A. Latif, H. O. Bakodah, Weak and strong convergence of algorithms for the sum of
two accretive operators with applications, J. Nonlinear Convex Anal., 16 (2015), 1321–1336. 1
[4] E. Blum, W. Oettli, From optimization and variational inequalities to equilibrium problems, Math. Student, 63
(1994), 123–145. 1, 1.6, 1.7
[5] D. Butnariu, S. Reich, A. J. Zaslavski, Asymptotic behavior of relatively nonexpansive operators in Banach spaces,
J. Appl. Anal., 7 (2001), 151–174. 1, 1.2
[6] S. Y. Cho, X. Qin, On the strong convergence of an iterative process for asymptotically strict pseudocontractions
and equilibrium problems, Appl. Math. Comput., 235 (2014), 430–438. 1
[7] S. Y. Cho, X. Qin, S. M. Kang, Iterative processes for common fixed points of two different families of mappings
with applications, J. Global Optim., 57 (2013), 1429–1446. 1
[8] S. Y. Cho, X. Qin, L. Wang, Strong convergence of a splitting algorithm for treating monotone operators, Fixed
Point Theory Appl., 2014 (2014), 15 pages. 1
[9] W. Cholamjiak, P. Cholamjiak, S. Suantai, Convergence of iterative schemes for solving fixed point problems for
multi-valued nonself mappings and equilibrium problems, J. Nonlinear Sci. Appl., 8 (2015), 1245–1256. 1
[10] B. S. Choudhury, S. Kundu, A viscosity type iteration by weak contraction for approximating solutions of generalized equilibrium problem, J. Nonlinear Sci. Appl., 5 (2012), 243–251. 1
[11] I. Cioranescu, Geometry of Banach spaces, duality mappings and nonlinear problems, Kluwer Academic Publishers
Group, Dordrecht, (1990). 1
[12] S. Dafermos, A. Nagurney, A network formulation of market equilibrium problems and variational inequalities,
Oper. Res. Lett., 3 (1984), 247–250. 1
[13] Y. Hao, Some results on a modified Mann iterative scheme in a reflexive Banach space, Fixed Point Theory Appl.,
2013, (2013), 14 pages. 1
[14] R. He, Coincidence theorem and existence theorems of solutions for a system of Ky Fan type minimax inequalities
in FC-spaces, Adv. Fixed Point Theory, 2 (2012), 47–57. 1
[15] J. K. Kim, Strong convergence theorems by hybrid projection methods for equilibrium problems and fixed point
problems of the asymptotically quasi-φ-nonexpansive mappings, Fixed Point Theory Appl., 2011 (2011), 15 pages.
1
[16] J. K. Kim, Convergence theorems of iterative sequences for generalized equilibrium problems involving strictly
pseudocontractive mappings in Hilbert spaces, J. Comput. Anal. Appl., 18 (2015), 454–471.
[17] Y. Liu, Convergence theorems for a generalized equilibrium problem and two asymptotically nonexpansive mappings
in Hilbert spaces, Nonlinear Funct. Anal. Appl., 19 (2014), 317–328. 1
[18] M. A. Noor, K. I. Noor, M. Waseem, Decomposition method for solving system of linear equations, Eng. Math.
Lett., 2 (2013), 34–41. 1
[19] S. Park, A review of the KKM theory on φA -space or GFC-spaces, Adv. Fixed Point Theory, 3 (2013), 355–382.
1
Y. Hecai, Z. Min, J. Nonlinear Sci. Appl. 9 (2016), 1776–1786
1786
[20] X. Qin, R. P. Agarwal, Shrinking projection methods for a pair of asymptotically quasi-φ-nonexpansive mappings,
Numer. Funct. Anal. Optim., 31 (2010), 1072–1089. 1.3
[21] X. Qin, Y. J. Cho, S. M. Kang, Convergence theorems of common elements for equilibrium problems and fixed
point problems in Banach spaces, J. Comput. Appl. Math., 225 (2009), 20–30. 1, 1.3, 1.7
[22] X. Qin, S. Y. Cho, S. M. Kang, On hybrid projection methods for asymptotically quasi-φ-nonexpansive mappings,
Appl. Math. Comput., 215 (2010), 3874–3883. 1, 1.3
[23] X. Qin, L. Wang, On asymptotically quasi-φ-nonexpansive mappings in the intermediate sense, Abstr. Appl.
Anal., 2012 (2012), 13 pages. 1, 1.8
[24] J. Song, M. Chen, On generalized asymptotically quasi-φ-nonexpansive mappings and a Ky Fan inequality, Fixed
Point Theory Appl., 2013 (2013), 15 pages. 1
[25] T. V. Su, Second-order optimality conditions for vector equilibrium problems, J. Nonlinear Funct. Anal., 2015
(2015), 31 pages. 1
[26] Y. Su, X. Qin, Strong convergence of modified Ishikawa iterations for nonlinear mappings, Proc. Indian Academy
Sci., 117 (2007), 97–107. 1.2
[27] W. Wang, J. Song, Hybrid projection methods for a bifunction and relatively asymptotically nonexpansive mappings, Fixed Point Theory Appl., 2013 (2013), 10 pages. 1
[28] Z. M. Wang, X. Zhang, Shrinking projection methods for systems of mixed variational inequalities of Browder
type, systems of mixed equilibrium problems and fixed point problems, J. Nonlinear Funct. Anal., 2014 (2014), 25
pages.
[29] J. Ye, J. Huang, An iterative method for mixed equilibrium problems, fixed point problems of strictly pseudocontractive mappings and nonexpansive semi-groups, Nonlinear Funct. Anal. Appl., 18 (2013), 307–325.
[30] H. Zegeye, N. Shahzad, Strong convergence theorem for a common point of solution of variational inequality and
fixed point problem, Adv. Fixed Point Theory, 2 (2012), 374–397.
[31] J. Zhao, Strong convergence theorems for equilibrium problems, fixed point problems of asymptotically nonexpansive mappings and a general system of variational inequalities, Nonlinear Funct. Anal. Appl., 16 (2011), 447–464.
[32] L. Zhang, H. Tong, An iterative method for nonexpansive semigroups, variational inclusions and generalized
equilibrium problems, Adv. Fixed Point Theory, 4 (2014), 325–343.
[33] L. Zhang, Y. Hao, Fixed point methods for solving solutions of a generalized equilibrium problem, J. Nonlinear
Sci. Appl., 9 (2016), 149–159. 1