Volume 2012, Issue 1 961560
Research Article
Open Access

Generalized Mixed Equilibrium Problems and Fixed Point Problem for a Countable Family of Total Quasi-ϕ-Asymptotically Nonexpansive Mappings in Banach Spaces

Jinhua Zhu

Jinhua Zhu

Department of Mathematics, Yibin University, Yibin, Sichuan 644007, China yibinu.cn

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Shih-Sen Chang

Corresponding Author

Shih-Sen Chang

Department of Mathematics, College of Statistics and Mathematics, Yunnan University of Finance and Economics, Yunnan, Kunming 650221, China ynufe.edu.cn

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Min Liu

Min Liu

Department of Mathematics, Yibin University, Yibin, Sichuan 644007, China yibinu.cn

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First published: 13 December 2011
Citations: 2
Academic Editor: Giuseppe Marino

Abstract

The purpose of this paper is first to introduce the concept of total quasi-ϕ-asymptotically nonexpansive mapping which contains many kinds of mappings as its special cases and then to use a hybrid algorithm to introduce a new iterative scheme for finding a common element of the set of solutions for a system of generalized mixed equilibrium problems and the set of common fixed points for a countable family of total quasi-ϕ-asymptotically nonexpansive mappings. Under suitable conditions some strong convergence theorems are established in an uniformly smooth and strictly convex Banach space with Kadec-Klee property. The results presented in the paper improve and extend some recent results.

1. Introduction

Throughout this paper, we denote by and + the set of all real numbers and all nonnegative real numbers, respectively. We also assume that E is a real Banach space, E* is the dual space of E, C is a nonempty closed convex subset of E, and 〈·, ·〉 is the pairing between E and E*. In the sequel, we denote the strong convergence and weak convergence of a sequence {xn} by xnx and xnx, respectively, and is the normalized duality mapping defined by
(1.1)
Let ψ : C be a proper real-valued function, A : CE* a nonlinear mapping, and F : C × C a bifunction. The “so called” generalized mixed equilibrium problem for F, A, ψ is to find x*C such that
(1.2)
We denote the set of solutions of (1.2) by GMEP (F, A, ψ), that is,
(1.3)

Special Examples

  • (i)

    If A = 0, then the problem (1.2) is reduced to the mixed equilibrium problem (MEP), and the set of its solutions is denoted by

    (1.4)

  • (ii)

    If ψ ≡ 0, then the problem (1.2) is reduced to the generalized equilibrium problem (GEP), and the set of its solutions is denoted by

    (1.5)

  • (iii)

    If A = 0, ψ = 0, then the problem (1.2) is reduced to the equilibrium problem (EP), and the set of its solutions is denoted by

    (1.6)

  • (iv)

    If F = 0, then the problem (1.2) is reduced to the mixed variational inequality of Browder type (VI), and the set of its solutions is denoted by

    (1.7)

These show that the problem (1.2) is very general in the sense that numerous problems in physics, optimization, and economics reduce to finding a solution of (1.2). Recently, some methods have been proposed for the generalized mixed equilibrium problem in Banach space (see, e.g., [15]).

A Banach space E is said to be strictly convex if ∥x + y∥/2 < 1 for all x, yU = {zE : ∥z∥ = 1} with xy. E is said to be uniformly convex if, for each ϵ ∈ (0,2], there exists δ > 0 such that ∥x + y∥/2 < 1 − δ for all x, yU with ∥xy∥≥ϵ. E is said to be smooth if the limit
(1.8)
exists for all x, yU. E is said to be uniformly smooth if the above limit exists uniformly in x, yU.

Remark 1.1. The following basic properties for Banach space E and for the normalized duality mapping J can be found in Cioranescu [6].

  • (i)

    If E is an arbitrary Banach space, then J is monotone and bounded;

  • (ii)

    If E is a strictly convex Banach space, then J is strictly monotone;

  • (iii)

    If E is a a smooth Banach space, then J is single-valued, and hemicontinuous; that is, J is continuous from the strong topology of E to the weak star topology of E*;

  • (iv)

    If E is a uniformly smooth Banach space, then J is uniformly continuous on each bounded subset of E;

  • (v)

    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 and J*J = IE;

  • (vi)

    If E is a smooth, strictly convex and reflexive Banach space, then the normalized duality mapping J is single valued, one to one and onto;

  • (vii)

    A Banach space E is uniformly smooth if and only if E* is uniformly convex. If E is uniformly smooth, then it is smooth and reflexive.

Recall that a Banach space E has the Kadec-Klee property, if for any sequence {xn} ⊂ E and xE with xnxE and ∥xn∥→∥x∥, then xnx (as n). It is well known that if E is a uniformly convex Banach space, then E has the Kadec-Klee property.

Next we assume that E is a smooth, strictly convex and reflexive Banach space and C is a nonempty closed convex subset of E. In the sequel, we always use ϕ : E × E+ to denote the Lyapunov functional defined by
(1.9)
It is obvious from the definition of ϕ that
(1.10)
Following Alber [7], the generalized projection ΠC : EC is defined by
(1.11)

Let T : CC be a mapping and F(T) be the set of fixed points of T.

Recall that a point pC is said to be an asymptotic fixed point of T if there exists a sequence {xn} ⊂ C such that xnp and ∥xnTxn∥→0. We denoted the set of all asymptotic fixed points of T by . A point pC is said to be a strong asymptotic fixed point of T, if there exists a sequence {xn} ⊂ C such that xnp and ∥xnTxn∥→0. We denoted the set of all strong asymptotic fixed points of T by .

Definition 1.2. (1) A mapping T : CC is said to be nonexpansive if

(1.12)

(2) A mapping T : CC is said to be relatively nonexpansive [8] if and

(1.13)

(3) A mapping T : CC is said to be weak relatively nonexpansive [9] if and

(1.14)

(4) A mapping T : CC is said to be closed, if for any sequence {xn} ⊂ C with xnx and Txny, then Tx = y.

Definition 1.3. (1) A mapping T : CC is said to be quasi-ϕ-nonexpansive [10] if F(T) ≠ and

(1.15)

(2) A mapping T : CC is said to be quasi-ϕ-asymptotically nonexpansive [11], if F(T) ≠ and there exists a real sequence {kn}⊂[1, ) with kn → 1 such that

(1.16)

(3) A mapping T : CC is said to be uniformly L-Lipschitz continuous, if there exists a constant L > 0 such that

(1.17)

Definition 1.4. (1) A mapping T : CC is said to be total quasi-ϕ-asymptotically nonexpansive if F(T) ≠ and there exist nonnegative real sequences {νn}, {μn} with νn → 0, μn → 0 (as n) and a strictly increasing continuous function ζ : ++ with ζ(0) = 0 such that for all   xC, PF(T)

(1.18)

(2) A countable family of mappings {Tn} : CC is said to be uniformly total quasi-ϕ-asymptotically nonexpansive, if and there exist nonnegative real sequences {νn}, {μn} with νn → 0,   μn → 0 (as n) and a strictly increasing continuous function ζ : ++ with ζ(0) = 0 such that for all

(1.19)

Remark 1.5. From the definition, it is easy to know that

  • (1)

    each relatively nonexpansive mapping is closed;

  • (2)

    taking ζ(t) = t, t ≥ 0,   νn = (kn − 1) and μn = 0, then (1.16) can be rewritten as

    (1.20)
    This implies that each quasi-ϕ-asymptotically nonexpansive mapping must be a total quasi-ϕ-asymptotically nonexpansive mapping, but the converse is not true;

  • (3)

    the class of quasi-ϕ-asymptotically nonexpansive mappings contains properly the class of quasi-ϕ-nonexpansive mappings as a subclass, but the converse is not true;

  • (4)

    the class of quasi-ϕ-nonexpansive mappings contains properly the class of weak relatively nonexpansive mappings as a subclass, but the converse is not true;

  • (5)

    the class of weak relatively nonexpansive mappings contains properly the class of relatively nonexpansive mappings as a subclass, but the converse is not true.

A mapping A : CE* is said to be α-inverse strongly monotone, if there exists α > 0 such that
(1.21)

Remark 1.6. If A is an α-inverse strongly monotone mapping, then it is 1/α-Lipschitz continuous.

Iterative approximation of fixed points for relatively nonexpansive mappings in the setting of Banach spaces has been studied extensively by many authors. In 2005, Matsushita and Takahashi [12] obtained some weak and strong convergence theorems to approximate a fixed point of a single relatively nonexpansive mapping. Recently, Ofoedu and Malonza [4], Zhang [5], Su et al. [13], Zegeye and Shahzad [14], Wattanawitoon and Kumam [15], Qin et al. [16], Takahashi and Zembayashi [17], Chang et al. [18, 19], Yao et al. [20, 21], Qin et al. [22], and Cho et al. [23, 24] extend the notions from relatively nonexpansive mappings, weakly relatively nonexpansive mappings or quasi-ϕ-nonexpansive mappings to quasi-ϕ-asymptotically nonexpansive mappings and also prove some strongence theorems to approximate a common fixed point of quasi-ϕ-nonexpansive mappings or quasi-ϕ-asymptotically nonexpansive mappings.

The purpose of this paper is first to introduce the concept of total quasi-ϕ-asymptotically nonexpansive mapping which contains many kinds of mappings as its special cases, and then by using a hybrid algorithm to introduce a new iterative scheme for finding a common element of the set of solutions for a system of generalized mixed equilibrium problems and the set of common fixed points for a countable family of total quasi-ϕ-asymptotically nonexpansive mappings in a uniformly smooth and strictly convex Banach space with Kadec-Klee property. The results improve and extend the corresponding results in [8, 1125].

2. Preliminaries

First, we recall some definitions and conclusions.

Lemma 2.1 (see [7], [26].)Let E be a smooth, strictly convex and reflexive Banach space and C be a nonempty closed convex subset of E. Then the following conclusions hold:

  • (a)

    ϕ(x, ΠCy) + ϕ(ΠCy, y) ≤ ϕ(x, y) for all xC and yE;

  • (b)

    if xE and zC, then

    (2.1)

  • (c)

    for x, yE,   ϕ(x, y) = 0 if and only if x = y.

Remark 2.2. If E is a real Hilbert space H, then ϕ(x, y) = ∥xy2 and ΠC is the metric projection PC of H onto C.

Lemma 2.3 (see [18].)Let E be a uniformly convex Banach space, r > 0 a positive number, and Br(0) a closed ball of E. Then, for any given sequence and for any given sequence of positive numbers with , then there exists a continuous, strictly increasing and convex function g : [0,2r)→[0, ) with g(0) = 0 such that for any positive integers i,   j with i < j,

(2.2)

Lemma 2.4. Let E be a real uniformly smooth and strictly convex Banach space with Kadec-Klee property, and let C be a nonempty closed convex subset of E. Let T : CC be a closed and total quasi-ϕ-asymptotically nonexpansive mapping with nonnegative real sequences {νn}, {μn} and a strictly increasing continuous functions ζ : ++ such that μ1 = 0, νn → 0, μn → 0 (as n) and ζ(0) = 0. Then F(T) is a closed convex subset of C.

Proof. Letting {pn} be a sequence in F(T) with pnp (as n), we prove that pF(T). In fact, from the definition of T, we have

(2.3)
Therefore we have
(2.4)
that is, pF(T).

Next we prove that F(T) is convex. For any p, qF(T),   t ∈ (0,1), putting w = tp + (1 − t)q, we prove that wF(T). Indeed, in view of the definition of ϕ(x, y), we have

(2.5)
Since μn → 0 and νn → 0, we have ϕ(w, Tnw) → 0 (as n). From (1.10) we have ∥Tnw∥→∥w∥. Consequently ∥JTnw∥→∥Jw∥. This implies that {JTnw} is a bounded sequence. Since E is reflexive, E* is also reflexive. So we can assume that
(2.6)
Again since E is reflexive, we have J(E) = E*. Therefore there exists xE such that Jx = f0. By virtue of the weakly lower semicontinuity of norm ∥·∥, we have
(2.7)
that is, w = x which implies that f0 = Jw. Hence from (2.6) we have JTnwJwE*. Since ∥JTnw∥→∥w∥ and E* has the Kadec-Klee property, we have JTnwJw. Since E is uniformly smooth, E* is uniformly convex, which in turn implies that E* is smooth. From Remark 1.1(iii) it yields that J−1 : E*E is hemi-continuous. Therefore we have Tnww. Again since ∥Tnw∥→∥w∥, by using the Kadec-Klee property of E, we have Tnww. This implies that TTnw = Tn+1ww. Since T is closed, we have w = Tw.

This completes the proof of Lemma 2.4.

Lemma 2.5. Let E be a smooth, strictly convex and reflexive Banach space and C be a nonempty closed convex subset of E. Let f : C × C be a bifunction satisfying the following conditions:

  • (A1)    f(x, x) = 0,     for  all  xC,

  • (A2) f is monotone, that is, f(x, y) + f(y, x) ≤ 0,   for  all  x, yC,

  • (A3) lim  supt↓0f(x + t(zx), y) ≤ f(x, y)  for  all  x, z, yC,

  • (A4) The function yf(x, y) is convex and lower semi-continuous.

Then the following conclusions hold:

  • (1) (Blum and Oettli [27]) for any given r > 0 and xE, there exists a unique zC such that

    (2.8)

  • (2) (Takahashi and Zembayashi [28]) for any given r > 0 and xE, define a mapping by

(2.9)
Then, the following conclusions hold:
  • (a) is single-valued;

  • (b) is firmly nonexpansive-type mapping, that is, for all  z, yE,

    (2.10)

  • (c) and is quasi-ϕ-nonexpansive;

  • (d) EP (f) is closed and convex;

  • (e) .

For solving the generalized mixed equilibrium problem (1.2), let us assume that the following conditions are satisfied:

  • (1) E is a smooth, strictly convex, and reflexive Banach space and C is a nonempty closed convex subset of E;

  • (2) A : CE* is β-inverse strongly monotone mapping;

  • (3) F : C × C is bifunction satisfying the conditions (A1), (A3), (A4) in Lemma 2.5 and the following condition (A2):

  • (A2) for some γ ≥ 0 with γβ

    (2.11)

  • (4) ψ : C is a lower semicontinuous and convex function.

Under the assumptions as above, we have the following results.

Lemma 2.6. Let E, C, A, F, ψ satisfy the above conditions (1)–(4). Denote by

(2.12)
For any given r > 0 and xE, define a mapping by
(2.13)
Then, the following hold:
  • (a) is single-valued;

  • (b) is a firmly nonexpansive-type mapping, that is, for all z, yE,

    (2.14)

  • (c) ;

  • (d) GMEP (F, A, ψ) is closed and convex;

  • (e)  

    (2.15)

Proof. It follows from Lemma 2.5 that in order to prove the conclusions of Lemma 2.6 it is sufficient to prove that the function Γ : C × C satisfies the conditions (A1)–(A4) in Lemma 2.5.

In fact, by the similar method as given in the proof of Lemma 2.4 in [1], we can prove that the function Γ satisfies the conditions (A1), (A3), and (A4). Now we prove that Γ also satisfies the conditions (A2).

Indeed, for any x, yC, by condition (A2)′, we have

(2.16)
This implies that the function Γ satisfies the conditions (A2). Therefore the conclusions of Lemma 2.6 can be obtained from Lemma 2.3 immediately.

Remark 2.7. It follows from Lemma 2.5 that the mapping is a relatively nonexpansive mapping. Thus, it is quasi-ϕ-nonexpansive.

3. Main Results

In this section, we shall use the hybrid method to prove some strong convergence theorems for finding a common element of the set of solutions for a system of the generalized mixed equilibrium problems (1.2) and the set of common fixed points of a countable family of total quasi-ϕ-asymptotically nonexpansive mappings in Banach spaces.

In the sequel, we assume that satisfy the following conditions.
  • (1) Let E be a uniformly smooth and strictly convex Banach space with Kleac-Klee property and C a nonempty closed convex subset of E.

  • (2) Let Si : CC be a countable family of closed and uniformly total quasi-ϕ-asymptotically nonexpansive mappings with nonnegative real sequences {νn}, {μn} and a strictly increasing continuous functions ζ : ++ such that νn → 0, μn → 0 (as n) and μ1 = 0, ζ(0) = 0. Suppose further that for each i ≥ 1, Si is a uniformly Li-Lipschitz mapping, that is, there exists a constant Li > 0 such that

    (3.1)

  • (3) Let Ai : CE*  (i = 1,2, …, M) be a finite family of βi-inverse strongly monotone mappings.

  • (4) Let Fi : C  (i = 1,2, …, M) be a finite family of bifunction satisfying the conditions (A1), (A3), (A4), and the following condition (A2)′:

  • (A2) For each i = 1,2, …, M there exists γi ≥ 0 with γiβi such that

    (3.2)

  • (5) Let ψi : C(i = 1,2, …, M) be a finite family of lower semicontinuous and convex functions.

Theorem 3.1. Let be the same as above. Suppose that

(3.3)
is a nonempty and bounded subset of C. For any given x0C, let {xn} be the sequence generated by
(3.4)
where
(3.5)
is the mapping defined by (2.13) with Γ = Γi, r = ri,n, and
(3.6)
rk,n ∈ [d, ), k = 1,2, …, M, n ≥ 1 for some is the generalized projection of E onto the set Cn+1,   and {αn,i}, {αn} are sequences in [0,1] satisfying the following conditions:
  • (a) for all n ≥ 0;

  • (b) lim infnαn,0 · αn,i > 0 for all i ≥ 1;

  • (c) 0 < ααn < 1 for some α ∈ (0,1).

Then {xn} converges strongly to Πx0, where Π is the generalized projection from E onto .

Proof. We divide the proof of Theorem 3.1 into five steps.

(i) We first prove that and Cn both are closed and convex subset of C for all n ≥ 0.

In fact, it follows from Lemmas 2.4 and 2.6 that F(Si),   i ≥ 1 and GMEP (Fj, Aj, ψj)  (j = 1,2, …, M) both are closed and convex. Therefore is a closed and convex subset in C. Furthermore, it is obvious that C0 = C is closed and convex. Suppose that Cn is closed and convex for some n ≥ 1. Since the inequality ϕ(v, un) ≤ ϕ(v, xn) + ηn is equivalent to

(3.7)
therefore, we have
(3.8)

This implies that Cn+1 is closed and convex. The desired conclusions are proved. These in turn show that Πx0 and are well defined.

(ii) We prove that {xn} and for all i ≥ 1 are both bounded sequences in C.

By the definition of Cn, we have for all n ≥ 0. It follows from Lemma 2.1 (a) that

(3.9)
This implies that {ϕ(xn, x0)} is bounded. By virtue of (1.10), {xn} is bounded. Since for all u and is bounded for all i ≥ 1, and so {zn}is bounded in E. Denote M by
(3.10)

In view of the structure of {Cn}, we have and . This implies that xn+1Cn and

(3.11)
Therefore {ϕ(xn, x0)} is convergent. Without loss of generality, we can assume that
(3.12)
(iii) Next, we prove that for all n ≥ 0.

Indeed, it is obvious that C0 = C. Suppose that Cn for some n ≥ 0. Since , by Lemma 2.6 and Remark 2.7, is quasi-ϕ-nonexpansive. Again since E is uniformly smooth, E* is uniformly convex. Hence, For any given uCn and for any positive integer j > 0, from Lemma 2.3 we have

(3.13)
Hence uCn+1 and so Cn for all n ≥ 0. By the way, from the definition of {ηn} and ζ and (3.10), it is easy to see that
(3.14)
(IV) Now, we prove that {xn} converges strongly to some point
(3.15)

First, we prove that {xn} converges strongly to some point .

In fact, since {xn} is bounded in C and E is reflexive, there exists a subsequence such that . Again since Cn is closed and convex for each n ≥ 1, it is weakly closed, and so pCn for each n ≥ 0. Since , from the definition of , we have

(3.16)
Since
(3.17)
we have
(3.18)
This implies that , that is, . In view of the Kadec-Klee property of E, we obtain that .

Now we prove that xnp  (n). In fact, if there exists a subsequence such that , then we have

(3.19)
Therefore we have p = q. This implies that
(3.20)

Now we prove that . In fact, by the construction of Cn, we have that Cn+1Cn and . Therefore by Lemma 2.1(a) we have

(3.21)
In view of xn+1Cn and noting the construction of Cn+1 we obtain that
(3.22)
From (1.10) it yields (∥xn+1∥−∥un∥) 2 → 0. Since∥xn+1∥→∥p∥, we have
(3.23)
Hence we have
(3.24)

This implies that {Jun} is bounded in E*. Since E is reflexive, and so E* is reflexive, there exists a subsequence such that . In view of the reflexive of E, we see that J(E) = E*. Hence there exists xE such that Jx = p0. Since

(3.25)
taking liminf n on the both sides of above equality and in view of the weak lower semicontinuity of norm ∥·∥, then it yields that
(3.26)
That is p = x. This implies that p0 = Jp, and so JunJp. It follows from (3.24) and the Kadec-Klee property of E* that (as n). Note that J−1 : E*E is hemi-continuous, it yields that . It follows from (3.23) and the Kadec-Klee property of E that .

By the similar way as given in the proof of (3.20), we can also prove that

(3.27)

From (3.20) and (3.27) we have that

(3.28)
Since J is uniformly continuous on any bounded subset of E, we have
(3.29)
For any j ≥ 1 and any u, it follows from (3.13), (3.20), and (3.27) that
(3.30)
Since
(3.31)
from (3.28) and (3.29), it follows that
(3.32)
In view of condition (b) and condition (c), we have that
(3.33)
It follows from the property of g that
(3.34)
Since xnp and J is uniformly continuous, it yields JxnJp. Hence from (3.34) we have
(3.35)
Since J−1 : E*E is hemicontinuous, it follows that
(3.36)
On the other hand, for each j ≥ 1 we have
(3.37)
This together with (3.36) shows that
(3.38)

Furthermore, by the assumption that for each j ≥ 1, Sj is uniformly Li-Lipschitz continuous, hence we have

(3.39)
This together with (3.20) and (3.38), yields (as n). Hence from (3.36) we have , that is, . In view of (3.38) and the closeness of Sj, it yields that Sjp = p, for  all  j ≥ 1. This implies that .

Next, we prove that . Denote that

(3.40)
By the similar method as in the proof of (3.13), we can prove that
(3.41)
It follows from Lemma 2.6, (2.15), (3.32) that for any u,
(3.42)
From (1.10) it yields . Since , we have
(3.43)

Hence we have

(3.44)

This implies that is bounded in E*. Since E is reflexive, and so E* is reflexive, there exists a subsequence such that . In view of the reflexive of E, we see that J(E) = E*. Hence there exists xE such that Jx = p0. Since

(3.45)
taking on the both sides of above equality and in view of the weak lower semicontinuity of norm ∥·∥, it yields that
(3.46)
This is, p = x. This implies that p0 = Jp, and so . It follows from (3.44) and the Kadec-Klee property of E* that (as ni). Note that J−1 : E*E is hemicontinuous it yields that . It follows from (3.43) and the Kadec-Klee property of E that .

By the similar way as given in the proof of (3.20), we can also prove that

(3.47)
From (3.27) and (3.47) we have that
(3.48)
Since J is uniformly continuous on any bounded subset of E, we have
(3.49)

Since

(3.50)

By the similar way as above, we can also prove that

(3.51)
From (3.51) and the assumption that rnd,   n ≥ 0, we have
(3.52)
In the proof of Lemma 2.6 we have proved that the function Γi, i = 1,2, …, M defined by (3.6) satisfies the condition (A1)–(A4) and
(3.53)
Therefore for any yC we have
(3.54)
This implies that
(3.55)
for some constant M1 > 0. Since the function y ↦ Γi(x, y) is convex and lower semi-continuous, letting n in (3.55), from (3.52) and (3.55), for each i, we have Γi(y, p) ≤ 0,   for  all  yC.

For t ∈ (0,1] and yC, letting yt = ty + (1 − t)p, there are ytC and Γi(yt, p) ≤ 0. By condition (A1) and (A4), we have

(3.56)
Dividing both sides of the above equation by t, we have Γi(yt, y) ≥ 0, for  all  yC. Letting t ↓ 0, from condition (A3), we have Γi(p, y) ≥ 0,   for  all  yC,   for  all  i = 1,2, …, M, that is, for each i = 1,2, …, M, we have
(3.57)
This implies that . Therefore, we have that
(3.58)

(V) Now, we prove xnΠx0.

Let w = Πx0. From wCn+1 and , we have ϕ(xn+1, x0) ≤ ϕ(w, x0), for  all  n ≥ 0. This implies that

(3.59)

By the definition of Πx0 and (3.59), we have p = w. Therefore, xnΠx0. This completes the proof of Theorem 3.1.

Theorem 3.2. Let be the same as above. Let be an infinite family of closed and uniformly quasi-ϕ-asymptotically nonexpansive mappings with a sequence {kn}⊂[1, ) and kn → 1. Suppose that for each i ≥ 1, Si is uniformly Li-Lipschitz continuous and that

(3.60)
is a nonempty and bounded subset of C. For any given x0C, let {xn} be the sequence generated by
(3.61)
where ξn = sup u𝒢(kn − 1)ϕ(u, xn),   rn ∈ [d, ) for some d > 0,    and for i ≥ 0,   {αn,i},   {αn} are sequences in [0,1] satisfying the following conditions:
  • (a) for all n ≥ 0;

  • (b) lim infnαn,0 · αn,i > 0 for all i ≥ 1;

  • (c) 0 < ααn < 1 for some α ∈ (0,1).

Then {xn} converges strongly to Π𝒢x0.

Proof. Since is an infinite family of closed quasi-ϕ-asymptotically nonexpansive mappings, it is an infinite family of closed and uniformly total quasi-ϕ-asymptotically nonexpansive mappings with sequence ζ(t) = t, t ≥ 0, νn = kn − 1, μn = 0. Hence ζn = νnsup u𝒢ζ(ϕ(u, xn)) + μn = supu𝒢(kn − 1)ϕ(u, xn) → 0. Therefore all conditions in Theorem 3.1 are satisfied. The conclusion of Theorem 3.2 is obtained from Theorem 3.1 immediately.

Remark 3.3. Theorems 3.1 and 3.2 improve and extend the corresponding results in [8, 11, 15, 16, 1824, 28] and others in the following aspects.

  • (a) For the framework of spaces, we extend the space from a uniformly smooth and uniformly convex Banach space to a uniformly smooth and strictly convex Banach space with the Kadec-Klee property (note that each uniformly convex Banach space must have Kadec-Klee property).

  • (b) For the mappings, we extend the mappings from nonexpansive mappings, relatively nonexpansive mappings, quasi-ϕ-nonexpansive mapping or quasi-ϕ-asymptotically nonexpansive mappings to a countable family of total quasi-ϕ-asymptotically nonexpansive mappings.

  • (c) We extend a single generalized mixed equilibrium problem to a system of generalized mixed equilibrium problems.

Acknowledgments

This work was supported by Scientific Reserch Fund of Sichuan Provincial Education Department (09zb102, 11zb146) and the Natural Science Foundation of Yibin University and Yunnan University of Finance and Economics.

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