R E S E A R C H Open AccessSome results on zero points of m-accretive operators in reflexive Banach spaces Chang Qun Wu1, Songtao Lv2*and Yunpeng Zhang3 * Correspondence: sqlvst@yeah.net
Trang 1R E S E A R C H Open Access
Some results on zero points of m-accretive
operators in reflexive Banach spaces
Chang Qun Wu1, Songtao Lv2*and Yunpeng Zhang3
* Correspondence: sqlvst@yeah.net
2 School of Mathematics and
Information Science, Shangqiu
Normal University, Shangqiu,
Henan, China
Full list of author information is
available at the end of the article
Abstract
A modified proximal point algorithm is proposed for treating common zero points of
a finite family of m-accretive operators A strong convergence theorem is established
in a reflexive, strictly convex Banach space with the uniformly Gâteaux differentiable norm
Keywords: accretive operator; nonexpansive mapping; resolvent; fixed point; zero
point
1 Introduction and preliminaries
Let E be a Banach space and let E∗be the dual of E Let·, · denote the pairing between
E and E∗ The normalized duality mapping J : E→ E∗
is defined by
J (x) =
f ∈ E∗:x, f = x=f
, ∀x ∈ E.
A Banach space E is said to strictly convex if and only if x = y = ( – λ)x + λy for
x , y ∈ E and < λ < implies that x = y Let U E={x ∈ E : x = } The norm of E is said
to be Gâteaux differentiable if the limit limt→x+ty–x t exists for each x, y ∈ U E In this
case, E is said to be smooth The norm of E is said to be uniformly Gâteaux differentiable
if for each y ∈ U E , the limit is attained uniformly for all x ∈ U E The norm of E is said to be Fréchet differentiable if for each x ∈ U E , the limit is attained uniformly for all y ∈ U E The
norm of E is said to be uniformly Fréchet differentiable if the limit is attained uniformly for all x, y ∈ U E It is well known that (uniform) Fréchet differentiability of the norm of E implies (uniform) Gâteaux differentiability of the norm of E.
Let ρ E: [,∞) → [, ∞) be the modulus of smoothness of E by
ρ E (t) = sup
x + y – x – y
– : x ∈ U E,y ≤ t
A Banach space E is said to be uniformly smooth if ρ E (t)
t → as t → It is well known that if the norm of E is uniformly Gâteaux differentiable, then the duality mapping J is
single valued and uniformly norm to weak∗continuous on each bounded subset of E Recall that a closed convex subset C of a Banach space E is said to have a normal struc-ture if for each bounded closed convex subset K of C which contains at least two points, there exists an element x of K which is not a diametral point of K , i.e., sup{x – y : y ∈
K } < d(K), where d(K) is the diameter of K.
© 2014 Wu et al.; licensee Springer This is an Open Access article distributed under the terms of the Creative Commons Attribu-tion License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribuAttribu-tion, and reproducAttribu-tion in any
Trang 2Let D be a nonempty subset of a set C Let Proj D : C → D Q is said to be () sunny if for each x ∈ C and t ∈ (, ), we have Proj D (tx + ( – t)Proj D x ) = Proj D x;
() a contraction if ProjD = Proj D;
() a sunny nonexpansive retraction if Proj Dis sunny, nonexpansive, and a contraction
D is said to be a nonexpansive retract of C if there exists a nonexpansive retraction from
C onto D The following result, which was established in [–], describes a
characteriza-tion of sunny nonexpansive retraccharacteriza-tions on a smooth Banach space
Let E be a smooth Banach space and let C be a nonempty subset of E Let Proj C : E → C
be a retraction and J ϕ be the duality mapping on E Then the following are equivalent:
() Proj Cis sunny and nonexpansive;
() x – Proj C x , J ϕ (y – Proj C x) ≤ , ∀x ∈ E, y ∈ C;
() Proj C x – Proj C y≤ x – y, J ϕ (Proj C x – Proj C y), ∀x, y ∈ E.
It is well known that if E is a Hilbert space, then a sunny nonexpansive retraction Proj Cis
coincident with the metric projection from E onto C Let C be a nonempty closed convex
subset of a smooth Banach space E, let x ∈ E, and let x∈ C Then we have from the above
that x= Proj C xif and only ifx – x, J ϕ (y – x) ≤ for all y ∈ C, where Proj Cis a sunny
nonexpansive retraction from E onto C For more additional information on nonexpansive
retracts, see [] and the references therein
Let C be a nonempty closed convex subset of E Let T : C → C be a mapping In this paper, we use F(T) to denote the set of fixed points of T Recall that T is said to be an
α -contractive mapping iff there exists a constant α ∈ [, ) such that Tx – Ty ≤ αx –
y , ∀x, y ∈ C The Picard iterative process is an efficient method to study fixed points of
α -contractive mappings It is well known that α-contractive mappings have a unique fixed
point T is said to be nonexpansive iff Tx – Ty ≤ x – y, ∀x, y ∈ C It is well known that
nonexpansive mappings have fixed points if the set C is closed and convex, and the space
Eis uniformly convex The Krasnoselski-Mann iterative process is an efficient method for
studying fixed points of nonexpansive mappings The Krasnoselski-Mann iterative process
generates a sequence{x n} in the following manner:
x∈ C, x n+= α n Tx n + ( – α n )x n, ∀n ≥ .
It is well known that the Krasnoselski-Mann iterative process only has weak convergence
for nonexpansive mappings in infinite-dimensional Hilbert spaces; see [–] for more
de-tails and the references therein In many disciplines, including economics, image
recov-ery, quantum physics, and control theory, problems arise in infinite-dimensional spaces
In such problems, strong convergence (norm convergence) is often much more desirable
than weak convergence, for it translates the physically tangible property that the energy
x n – x of the error between the iterate x n and the solution x eventually becomes
arbi-trarily small To improve the weak convergence of a Krasnoselski-Mann iterative process,
so-called hybrid projections have been considered; see [–] for more details and the
references therein The Halpern iterative process was initially introduced in []; see []
for more details and the references therein The Halpern iterative process generates a
se-quence{x n} in the following manner:
x ∈ C, x = α u + ( – α )Tx , ∀n ≥ ,
Trang 3where xis an initial and u is a fixed element in C Strong convergence of Halpern iterative
process does not depend on metric projections The Halpern iterative process has recently
been extensively studied for treating accretive operators; see [–] and the references
therein
Let I denote the identity operator on E An operator A ⊂ E × E with domain D(A) = {z ∈
{Az : z ∈ D(A)} is said to be accretive if for each x i ∈ D(A) and y i ∈ Ax i , i = , , there exists j(x– x)∈ J(x– x) such thaty– y, j(x– x) ≥ An
accretive operator A is said to be m-accretive if R(I + rA) = E for all r > In this paper,
we use A–() to denote the set of zero points of A For an accretive operator A, we can
define a nonexpansive single valued mapping J r : R(I + rA) → D(A) by J r = (I + rA)–for
each r > , which is called the resolvent of A.
Now, we are in a position to give the lemmas to prove main results
Lemma .[] Let {a n }, {b n }, {c n }, and {d n } be four nonnegative real sequences
satis-fying a n+≤ ( – b n )a n + b n c n + d n, ∀n ≥ n, where n is some positive integer, {b n } is a
number sequence in (, ) such that∞
n =nb n=∞, {c n } is a number sequence such that
lim supn→∞c n ≤ , and {d n } is a positive number sequence such that∞
n =nd n<∞ Then
limn→∞a n=
Lemma . [] Let C be a closed convex subset of a strictly convex Banach space E.
Let N ≥ be some positive integer and let T i : C → C be a nonexpansive mapping for
each i ∈ {, , , N} Let {δ i } be a real number sequence in (, ) withN
i=δ i = Suppose
thatN
i=F (T i ) is nonempty Then the mappingN
i=T i is defined to be nonexpansive with
F(N
i=T i) =N
i=F (T i)
Lemma .[] Let {x n } and {y n } be bounded sequences in a Banach space E and let β n
be a sequence in [, ] with < lim inf n→∞β n≤ lim supn→∞β n < Suppose that x n+=
( – β n )y n + β n x n for all n ≥ and
lim sup
y n+– y n – x n+– x n ≤
Then lim n→∞y n – x n =
Lemma .[] Let E be a real reflexive Banach space with the uniformly Gâteaux
differ-entiable norm and the normal structure , and let C be a nonempty closed convex subset of E.
Let f : C → C be α-contractive mapping and let T : C → C be a nonexpansive mapping
with a fixed point Let {x t } be a sequence generated by the following: x t = tf (x t ) + ( – t)Tx t,
where t ∈ (, ) Then {x t } converges strongly as t → to a fixed point x∗of T , which is the
unique solution in F (T) to the following variational inequality: f (x∗) – x∗, j(x∗– p) ≥ ,
∀p ∈ F(T).
2 Main results
Theorem . Let E be a real reflexive , strictly convex Banach space with the uniformly
Gâteaux differentiable norm Let N ≥ be some positive integer Let A m be an m-accretive
operator in E for each m ∈ {, , , N} Assume that C :=N
m=D (A m ) is convex and has
the normal structure Let f : C → C be an α-contractive mapping Let {α n }, {β n }, and {γ n}
be real number sequences in (, ) with the restriction α n + β n + γ n = Let {δ n ,i } be a real
number sequence in (, ) with the restriction δ + δ +· · · + δ = Let {r } be a positive
Trang 4real numbers sequence and {e n ,i } a sequence in E for each i ∈ {, , , N} Assume that
N
i=A–i () is not empty Let {x n } be a sequence generated in the following manner:
x ∈ C, x n+= α n f (x n ) + β n x n + γ n
N
i=
δ n ,iJ ri (x n + e n ,i), ∀n ≥ ,
where J ri = (I + r i A i)– Assume that the control sequences {α n }, {β n }, {γ n }, and {δ n ,i } satisfy
the following restrictions:
(a) limn→∞α n= ,∞
n=α n=∞;
(b) < lim infn→∞β n≤ lim supn→∞β n< ;
(c) ∞
n=e n ,m < ∞;
(d) limn→∞δ n ,i = δ i∈ (, )
Then the sequence {x n } converges strongly to ¯x, which is the unique solution to the following
variational inequality:f (¯x) – ¯x, J(p – ¯x) ≤ , ∀p ∈N
i=A–i ()
Proof Put y n=N
i=δ n ,iJ ri (x n + e n ,i ) Fixing p∈N
i=A–
i (), we have
y n – p ≤
N
i=
δ n ,i J ri (x n + e n ,i ) – p
≤
N
i=
δ n ,i (x n + e n ,i ) – p
≤ x n – p +
N
i=
e n ,i
Hence, we have
x n+– p ≤ α n f (x n ) – p + β n x n – p + γ n y n – p
≤ α n α x n – p + α n f (p) – p + β n x n – p + γ n x n – p + γ n N
i=
e n ,i
≤ – α n ( – α) x n – p + α n ( – α) f (p) – p
– α +
N
i=
e n ,i
≤ maxx n – p, f (p) – p +N
i=
e n ,i
≤ maxx– p, f (p) – p +∞
j=
N
i=
e j ,i
This proves that the sequence{x n } is bounded, and so is {y n} Since
y n – y n–=
N
i=
δ n ,i
J rm (x n + e n ,i ) – J ri (x n–+ e n –,i)
+
N
(δ n ,i – δ n –,i )J ri (x n–+ e n –,i),
Trang 5we have
y n – y n– ≤
N
i=
δ n ,i J ri (x n + e n ,i ) – J ri (x n–+ e n –,i)
+
N
i=
|δ n ,i – δ n –,i| J r
i (x n–+ e n –,i)
≤ x n – x n– +
N
i=
e n ,i +
N
i=
e n –,i +
N
i=
|δ n ,i – δ n –,i| J ri (x n–+ e n –,i)
≤ x n – x n– +
N
i=
e n ,i +
N
i=
e n –,i + M
N
i=
|δ n ,i – δ n –,i|,
where Mis an appropriate constant such that
M= max sup
n≥ J r(x n + e n,) , sup
n≥ J r(x n + e n,) , , sup
n≥ J rN (x n + e n ,N) .
Define a sequence{z n } by z n:=xn+–β nxn
–β n , that is, x n+= β n x n + ( – β n )z n It follows that
yz n – z n– ≤ α n
– β n
f (x n ) – y n + α n–
– β n–
f (x n–) – y n– +y n – y n–
≤ α n
– β n f (x n ) – y n + α n–
– β n– f (x n–) – y n– +x n – x n– +
N
i=
|δ n ,i – δ n –,i |J ri x n–
≤ α n
– β n
f (x n ) – y n + α n–
– β n–
f (x n–) – y n– +x n – x n–
+ M
N
i=
|δ n ,i – δ i| +
N
i=
|δ i – δ n –,i|
,
where Mis an appropriate constant such that
M= max sup
n≥J rx n, sup
n≥J rx n, , sup
n≥J rN x n
This implies that
z n – z n– – x n – x n–
≤ α n
– β n f (x n ) – y n + α n–
– β n– f (x n–) – y n–
+ M
N
|δ n ,i – δ i| +
N
|δ i – δ n –,i|
Trang 6
From the restrictions (a), (b), (c), and (d), we find that
lim sup
z n – z n– – x n – x n– ≤
Using Lemma ., we find that limn→∞z n – x n = This further shows that
lim supn→∞x n+– x n = Put T =N
i=δ i J ri It follows from Lemma . that T is nonex-pansive with F(T) =N
i=F (J ri) =N
i=A–i () Note that
x n – Tx n
≤ x n – x n+ + x n+– Tx n
≤ x n – x n+ + α n f (x n ) – Tx n + β n x n – Tx n + γ n y n – Tx n
≤ x n – x n+ + α n f (x n ) – Tx n + β n x n – Tx n + MN
i=
|δ n ,i – δ i|
This implies that
( – β n)xn – Tx n ≤ x n – x n+ + α n f (x n ) – Tx n + MN
i=
|δ n ,i – δ i|
It follows from the restrictions (a), (b), and (d) that
lim
n→∞Tx n – x n =
Now, we are in a position to prove that lim supn→∞f (¯x) – ¯x, J(x n–¯x) ≤ , where ¯x =
limt→x t , and x tsolves the fixed point equation
x t = tf (x t ) + ( – t)Tx t, ∀t ∈ (, ).
It follows that
x t – x n = t
f (x t ) – x n , J(x t – x n)
+ ( – t)
Tx t – x n , j(x t – x n)
= t
f (x t ) – x t , J(x t – x n)
+ t
x t – x n , J(x t – x n)
+ ( – t)
Tx t – Tx n , J(x t – x n)
+ ( – t)
Tx n – x n , J(x t – x n)
≤ tf (x t ) – x t , J(x t – x n)
+x t – x n+Tx n – x n x t – x n , ∀t ∈ (, ).
This implies that
x t – f (x t ), J(x t – x n)
≤
t Tx n – x n x t – x n , ∀t ∈ (, ).
Since limn→∞Tx n – x n = , we find that lim supn→∞x t – f (x t ), J(x t – x n) ≤ Since J is
strong to weak∗uniformly continuous on bounded subsets of E, we find that
f(¯x) – ¯x, J(xn–¯x)
–
x t – f (x t ), J(x t – x n)
≤f(¯x) – ¯x, J(x –¯x)
–
f(¯x) – ¯x, J(x – x)
Trang 7+f(¯x) – ¯x, J(xn – x t)
–
x t – f (x t ), J(x t – x n)
≤f(¯x) – ¯x, J(xn–¯x) – J(x n – x t)+f(¯x) – ¯x + xt – f (x t ), J(x n – x t)
≤ f (x t) –¯x J (x n–¯x) – J(x n – x t) + ( + α) ¯x – x t x n – x t.
Since x t → ¯x, as t → , we have
lim
t→f(¯x) – ¯x, J(xn–¯x)
–
f (x t ) – x t , J(x n – x t)= .
For > , there exists δ > such that ∀t ∈ (, δ), we have
f(¯x) – ¯x, J(xn–¯x)≤f (x t ) – x t , J(x n – x t)
+
This implies that lim supn→∞f (¯x) – ¯x, J(x n–¯x) ≤ .
Finally, we show that x n → ¯x as n → ∞ Since · is convex, we see that
y n–¯x =
N
i=
δ n ,iJ ri (x n + e n ,i) –¯x
≤
N
i=
δ n ,i J ri (x n + e n ,i) –¯x
≤ x n–¯x+
N
i=
e n ,i e n ,i + x n–¯x
It follows that
x n+–¯x = α n
f (x n) –¯x, J(x n+–¯x)+ β n
x n–¯x, J(x n+–¯x) + γ n
y n–¯x, J(x n+–¯x)
≤ α n α x n–¯xx n+–¯x + α n
f(¯x) – ¯x, J(xn+–¯x) + β n x n–¯xx n+–¯x + γ n y n–¯xx n+–¯x
≤α n α
x n–¯x+x n+–¯x + α n
f(¯x) – ¯x, J(x n+–¯x)
+β n
x n–¯x+x n+–¯x +γ n
x n–¯x
+
N
i=
e n ,i e n ,i + x n–¯x +γ n
x n+–¯x Hence, we have
x n+–¯x≤ – α n ( – α) x n–¯x+ α n
f(¯x) – ¯x, J(xn+–¯x)
+
N
i=
e n ,i e n ,i + x n–¯x
Using Lemma ., we find x → ¯x as n → ∞ This completes the proof.
Trang 8Remark . There are many spaces satisfying the restriction in Theorem ., for example
L p , where p > .
Corollary . Let E be a Hilbert space and let N ≥ be some positive integer Let A m be a
maximal monotone operator in E for each m ∈ {, , , N} Assume that C :=N
m=D (A m)
is convex and has the normal structure Let f : C → C be an α-contractive mapping Let
{α n }, {β n }, and {γ n } be real number sequences in (, ) with the restriction α n + β n + γ n=
Let {δ n ,i } be a real number sequence in (, ) with the restriction δ n,+ δ n,+· · · +δ n ,N = Let
{r m } be a positive real numbers sequence and {e n ,i } a sequence in E for each i ∈ {, , , N}.
Assume thatN
i=A–
i () is not empty Let {x n } be a sequence generated in the following
manner:
x ∈ C, x n+= α n f (x n ) + β n x n + γ n
N
i=
δ n ,iJ ri (x n + e n ,i), ∀n ≥ ,
where J ri = (I + r i A i)– Assume that the control sequences {α n }, {β n }, {γ n }, and {δ n ,i } satisfy
the following restrictions:
(a) limn→∞α n= ,∞
n=α n=∞;
(b) < lim infn→∞β n≤ lim supn→∞β n< ;
(c) ∞
n=e n ,m < ∞;
(d) limn→∞δ n ,i = δ i∈ (, )
Then the sequence {x n } converges strongly to ¯x, which is the unique solution to the following
variational inequality:f (¯x) – ¯x, p – ¯x ≤ , ∀p ∈N
i=A–i ()
3 Applications
In this section, we consider a variational inequality problem Let A : C → E∗be a single
valued monotone operator which is hemicontinuous; that is, continuous along each line
segment in C with respect to the weak∗topology of E∗ Consider the following variational
inequality:
find x ∈ C such that y – x, Ax ≥ , ∀y ∈ C.
The solution set of the variational inequality is denoted by VI(C, A) Recall that the normal
cone N C (x) for C at a point x ∈ C is defined by
N C (x) =
x∗∈ E∗:
y – x, x∗
≤ , ∀y ∈ C Now, we are in a position to give the convergence theorem
Theorem . Let E be a real reflexive , strictly convex Banach space with the uniformly
Gâteaux differentiable norm Let N ≥ be some positive integer and let C be nonempty
closed and convex subset of E Let A i : C → E∗a single valued , monotone and
hemicontinu-ous operator Assume thatN
i=VI(C, Ai ) is not empty and C has the normal structure Let
f : C → C be an α-contractive mapping Let {α n }, {β n }, and {γ n } be real number sequences
in (, ) with the restriction α n + β n + γ n = Let {δ n ,i } be a real number sequence in (, )
with the restriction δ + δ +· · · + δ = Let {r } be a positive real numbers sequence
Trang 9and {e n ,i } a sequence in E for each i ∈ {, , , N} Let {x n } be a sequence generated in the
following manner:
x ∈ C, x n+= α n f (x n ) + β n x n + γ n
N
i=
δ n ,iVI
C , A i+
r i
(I – x n)
, ∀n ≥ .
Assume that the control sequences {α n }, {β n }, {γ n }, and {δ n ,i } satisfy the following
restric-tions:
(a) limn→∞α n= ,∞
n=α n=∞;
(b) < lim infn→∞β n≤ lim supn→∞β n< ;
(c) ∞
n=e n ,m < ∞;
(d) limn→∞δ n ,i = δ i∈ (, )
Then the sequence {x n } converges strongly to ¯x, which is the unique solution to the following
variational inequality:f (¯x) – ¯x, J(p – ¯x) ≤ , ∀p ∈N
i=VI(C, Ai)
Proof Define a mapping T i ⊂ E × E∗by
T i x:=
⎧
⎨
⎩
A i x + N C x, x ∈ C,
∅, x ∈ C./
From Rockafellar [], we find that T i is maximal monotone with T–
i () = VI(C, A i) For
each r i > , and x n ∈ E, we see that there exists a unique x ri ∈ D(T i ) such that x n ∈ x ri+
r i T i (x r i ), where x r i = (I + r i T i)–x n Notice that
y n ,i= VI
C , A i+
r i (I – x n)
,
which is equivalent to
y – y n ,i , A i y n ,i+
r i
(y n ,i – x n)
≥ , ∀y ∈ C,
that is, –A i y n ,i+ri(x n – y n ,i)∈ N C (y n ,i ) This implies that y n ,i = (I + r i T i)–x n Using
Theo-rem ., we find the desired conclusion immediately
From Theorem ., the following result is not hard to derive
Corollary . Let E be a real reflexive , strictly convex Banach space with the uniformly
Gâteaux differentiable norm Let C be nonempty closed and convex subset of E Let A : C→
E∗a single valued , monotone and hemicontinuous operator with VI(C, A) Assume that C
has the normal structure Let f : C → C be an α-contractive mapping Let {α n }, {β n }, and
{γ n } be real number sequences in (, ) with the restriction α n + β n + γ n = Let {x n } be a
sequence generated in the following manner:
x∈ C, x n+= α n f (x n ) + β n x n + γ nVI
C , A +
r (I – x n)
, ∀n ≥ .
Assume that the control sequences {α }, {β }, and {γ } satisfy the following restrictions:
Trang 10(a) limn→∞α n= ,∞
n=α n=∞;
(b) < lim infn→∞β n≤ lim supn→∞β n<
Then the sequence {x n } converges strongly to ¯x, which is the unique solution to the following
variational inequality:f (¯x) – ¯x, J(p – ¯x) ≤ , ∀p ∈ VI(C, A i)
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
All authors contributed equally to this manuscript All authors read and approved the final manuscript.
Author details
1 School of Business and Administration, Henan University, Kaifeng, Henan, China 2 School of Mathematics and
Information Science, Shangqiu Normal University, Shangqiu, Henan, China 3 Vietnam National University, Hanoi, Vietnam.
Acknowledgements
The authors are grateful to the editor and the reviewers for useful suggestions which improved the contents of the article.
Received: 16 January 2014 Accepted: 30 April 2014 Published: 14 May 2014
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... –,i), Trang 5we have
y n – y n–... ,i – δ n –,i|,
where Mis an appropriate constant such that
M= max sup
n≥ J...
e j ,i
This proves that the sequence{x n } is bounded, and so is {y n} Since
y n – y n–=