Wu et al. Fixed Point Theory and Applications 2014, 2014:118 http://www.fixedpointtheoryandapplications.com/content/2014/1/118 RESEARCH Open Access Some results on zero points of m-accretive operators in reflexive Banach spaces Chang Qun Wu1 , Songtao Lv2* and Yunpeng Zhang3 * Correspondence: [email protected] 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 2 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 UE = {x ∈ E : x = }. The norm of E is said exists for each x, y ∈ UE . In this to be Gâteaux differentiable if the limit limt→ x+ty–x t case, E is said to be smooth. The norm of E is said to be uniformly Gâteaux differentiable if for each y ∈ UE , the limit is attained uniformly for all x ∈ UE . The norm of E is said to be Fréchet differentiable if for each x ∈ UE , the limit is attained uniformly for all y ∈ UE . The norm of E is said to be uniformly Fréchet differentiable if the limit is attained uniformly for all x, y ∈ UE . It is well known that (uniform) Fréchet differentiability of the norm of E implies (uniform) Gâteaux differentiability of the norm of E. Let ρE : [, ∞) → [, ∞) be the modulus of smoothness of E by x + y – x – y – : x ∈ UE , y ≤ t . ρE (t) = sup A Banach space E is said to be uniformly smooth if ρEt(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 structure 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 Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Wu et al. Fixed Point Theory and Applications 2014, 2014:118 http://www.fixedpointtheoryandapplications.com/content/2014/1/118 Let D be a nonempty subset of a set C. Let ProjD : C → D. Q is said to be () sunny if for each x ∈ C and t ∈ (, ), we have ProjD (tx + ( – t)ProjD x) = ProjD x; () a contraction if ProjD = ProjD ; () a sunny nonexpansive retraction if ProjD is 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 characterization of sunny nonexpansive retractions on a smooth Banach space. Let E be a smooth Banach space and let C be a nonempty subset of E. Let ProjC : E → C be a retraction and Jϕ be the duality mapping on E. Then the following are equivalent: () ProjC is sunny and nonexpansive; () x – ProjC x, Jϕ (y – ProjC x) ≤ , ∀x ∈ E, y ∈ C; () ProjC x – ProjC y ≤ x – y, Jϕ (ProjC x – ProjC y), ∀x, y ∈ E. It is well known that if E is a Hilbert space, then a sunny nonexpansive retraction ProjC is 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 = ProjC x if and only if x – x , Jϕ (y – x ) ≤ for all y ∈ C, where ProjC is 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 E is 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 {xn } in the following manner: x ∈ C, xn+ = αn Txn + ( – αn )xn , ∀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 details and the references therein. In many disciplines, including economics, image recovery, 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 xn – x of the error between the iterate xn and the solution x eventually becomes arbitrarily 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 sequence {xn } in the following manner: x ∈ C, xn+ = αn u + ( – αn )Txn , ∀n ≥ , Page 2 of 11 Wu et al. Fixed Point Theory and Applications 2014, 2014:118 http://www.fixedpointtheoryandapplications.com/content/2014/1/118 where x is 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 ∈ E : Az = ∅} and range R(A) = {Az : z ∈ D(A)} is said to be accretive if for each xi ∈ D(A) and yi ∈ Axi , i = , , there exists j(x – x ) ∈ J(x – x ) such that y – 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 Jr : R(I + rA) → D(A) by Jr = (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 {an }, {bn }, {cn }, and {dn } be four nonnegative real sequences satisfying an+ ≤ ( – bn )an + bn cn + dn , ∀n ≥ n , where n is some positive integer, {bn } is a number sequence in (, ) such that ∞ n=n bn = ∞, {cn } is a number sequence such that lim supn→∞ cn ≤ , and {dn } is a positive number sequence such that ∞ n=n dn < ∞. Then limn→∞ an = . Lemma . [] Let C be a closed convex subset of a strictly convex Banach space E. Let N ≥ be some positive integer and let Ti : C → C be a nonexpansive mapping for each i ∈ {, , . . . , N}. Let {δi } be a real number sequence in (, ) with N i= δi = . Suppose N F(T ) is nonempty. Then the mapping T is defined to be nonexpansive with that N i i= i N i= N F( i= Ti ) = i= F(Ti ). Lemma . [] Let {xn } and {yn } be bounded sequences in a Banach space E and let βn be a sequence in [, ] with < lim infn→∞ βn ≤ lim supn→∞ βn < . Suppose that xn+ = ( – βn )yn + βn xn for all n ≥ and lim sup yn+ – yn – xn+ – xn ≤ . n→∞ Then limn→∞ yn – xn = . Lemma . [] Let E be a real reflexive Banach space with the uniformly Gâteaux differentiable 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 {xt } be a sequence generated by the following: xt = tf (xt ) + ( – t)Txt , where t ∈ (, ). Then {xt } 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 Am be an m-accretive operator in E for each m ∈ {, , . . . , N}. Assume that C := N m= D(Am ) is convex and has the normal structure. Let f : C → C be an α-contractive mapping. Let {αn }, {βn }, and {γn } be real number sequences in (, ) with the restriction αn + βn + γn = . Let {δn,i } be a real number sequence in (, ) with the restriction δn, + δn, + · · · + δn,N = . Let {rm } be a positive Page 3 of 11 Wu et al. Fixed Point Theory and Applications 2014, 2014:118 http://www.fixedpointtheoryandapplications.com/content/2014/1/118 Page 4 of 11 real numbers sequence and {en,i } a sequence in E for each i ∈ {, , . . . , N}. Assume that N – i= Ai () is not empty. Let {xn } be a sequence generated in the following manner: x ∈ C, xn+ = αn f (xn ) + βn xn + γn N ∀n ≥ , δn,i Jri (xn + en,i ), i= where Jri = (I + ri Ai )– . Assume that the control sequences {αn }, {βn }, {γn }, and {δn,i } satisfy the following restrictions: (a) limn→∞ αn = , ∞ n= αn = ∞; (b) < lim infn→∞ βn ≤ lim supn→∞ βn < ; ∞ (c) n= en,m < ∞; (d) limn→∞ δn,i = δi ∈ (, ). Then the sequence {xn } converges strongly to x¯ , which is the unique solution to the following – variational inequality: f (¯x) – x¯ , J(p – x¯ ) ≤ , ∀p ∈ N i= Ai (). Proof Put yn = N i= δn,i Jri (xn N yn – p ≤ + en,i ). Fixing p ∈ N – i= Ai (), we have δn,i Jri (xn + en,i ) – p i= N ≤ δn,i (xn + en,i ) – p i= ≤ xn – p + N en,i . i= Hence, we have xn+ – p ≤ αn f (xn ) – p + βn xn – p + γn yn – p N ≤ αn αxn – p + αn f (p) – p + βn xn – p + γn xn – p + γn en,i i= f (p) – p ≤ – αn ( – α) xn – p + αn ( – α) + –α N i= N en,i ≤ max xn – p, f (p) – p + i= .. . N ∞ ≤ max x – p, f (p) – p + ej,i . j= i= This proves that the sequence {xn } is bounded, and so is {yn }. Since yn – yn– = N δn,i Jrm (xn + en,i ) – Jri (xn– + en–,i ) i= + N (δn,i – δn–,i )Jri (xn– + en–,i ), i= en,i Wu et al. Fixed Point Theory and Applications 2014, 2014:118 http://www.fixedpointtheoryandapplications.com/content/2014/1/118 Page 5 of 11 we have yn – yn– ≤ N δn,i Jri (xn + en,i ) – Jri (xn– + en–,i ) i= + N |δn,i – δn–,i |Jri (xn– + en–,i ) i= ≤ xn – xn– + N en,i + i= + N N en–,i i= |δn,i – δn–,i |Jri (xn– + en–,i ) i= ≤ xn – xn– + N en,i + i= N en–,i + M i= N |δn,i – δn–,i |, i= where M is an appropriate constant such that M = max supJr (xn + en, ), supJr (xn + en, ), . . . , supJrN (xn + en,N ) . n≥ n≥ Define a sequence {zn } by zn := xn+ –βn xn , –βn n≥ that is, xn+ = βn xn + ( – βn )zn . It follows that αn f (xn ) – yn + αn– f (xn– ) – yn– + yn – yn– – βn – βn– αn f (xn ) – yn + αn– f (xn– ) – yn– + xn – xn– ≤ – βn – βn– yzn – zn– ≤ + N |δn,i – δn–,i |Jri xn– i= ≤ αn f (xn ) – yn + αn– f (xn– ) – yn– + xn – xn– – βn – βn– N N |δn,i – δi | + |δi – δn–,i | , + M i= i= where M is an appropriate constant such that M = max sup Jr xn , sup Jr xn , . . . , sup JrN xn . n≥ n≥ n≥ This implies that zn – zn– – xn – xn– αn f (xn ) – yn + αn– f (xn– ) – yn– ≤ – βn – βn– N N |δn,i – δi | + |δi – δn–,i | . + M i= i= Wu et al. Fixed Point Theory and Applications 2014, 2014:118 http://www.fixedpointtheoryandapplications.com/content/2014/1/118 Page 6 of 11 From the restrictions (a), (b), (c), and (d), we find that lim sup zn – zn– – xn – xn– ≤ . n→∞ Using Lemma ., we find that limn→∞ zn – xn = . This further shows that δi Jr . It follows from Lemma . that T is nonexlim supn→∞ xn+ – xn = . Put T = N N i=– i N pansive with F(T) = i= F(Jri ) = i= Ai (). Note that xn – Txn ≤ xn – xn+ + xn+ – Txn ≤ xn – xn+ + αn f (xn ) – Txn + βn xn – Txn + γn yn – Txn N |δn,i – δi |. ≤ xn – xn+ + αn f (xn ) – Txn + βn xn – Txn + M i= This implies that N |δn,i – δi |. ( – βn )xn – Txn ≤ xn – xn+ + αn f (xn ) – Txn + M i= It follows from the restrictions (a), (b), and (d) that lim Txn – xn = . n→∞ Now, we are in a position to prove that lim supn→∞ f (¯x) – x¯ , J(xn – x¯ ) ≤ , where x¯ = limt→ xt , and xt solves the fixed point equation xt = tf (xt ) + ( – t)Txt , ∀t ∈ (, ). It follows that xt – xn = t f (xt ) – xn , J(xt – xn ) + ( – t) Txt – xn , j(xt – xn ) = t f (xt ) – xt , J(xt – xn ) + t xt – xn , J(xt – xn ) + ( – t) Txt – Txn , J(xt – xn ) + ( – t) Txn – xn , J(xt – xn ) ≤ t f (xt ) – xt , J(xt – xn ) + xt – xn + Txn – xn xt – xn , ∀t ∈ (, ). This implies that xt – f (xt ), J(xt – xn ) ≤ Txn – xn xt – xn , t ∀t ∈ (, ). Since limn→∞ Txn – xn = , we find that lim supn→∞ xt – f (xt ), J(xt – xn ) ≤ . Since J is strong to weak∗ uniformly continuous on bounded subsets of E, we find that f (¯x) – x¯ , J(xn – x¯ ) – xt – f (xt ), J(xt – xn ) ≤ f (¯x) – x¯ , J(xn – x¯ ) – f (¯x) – x¯ , J(xn – xt ) Wu et al. Fixed Point Theory and Applications 2014, 2014:118 http://www.fixedpointtheoryandapplications.com/content/2014/1/118 Page 7 of 11 + f (¯x) – x¯ , J(xn – xt ) – xt – f (xt ), J(xt – xn ) ≤ f (¯x) – x¯ , J(xn – x¯ ) – J(xn – xt ) + f (¯x) – x¯ + xt – f (xt ), J(xn – xt ) ≤ f (xt ) – x¯ J(xn – x¯ ) – J(xn – xt ) + ( + α)¯x – xt xn – xt . Since xt → x¯ , as t → , we have lim f (¯x) – x¯ , J(xn – x¯ ) – f (xt ) – xt , J(xn – xt ) = . t→ For > , there exists δ > such that ∀t ∈ (, δ), we have f (¯x) – x¯ , J(xn – x¯ ) ≤ f (xt ) – xt , J(xn – xt ) + . This implies that lim supn→∞ f (¯x) – x¯ , J(xn – x¯ ) ≤ . Finally, we show that xn → x¯ as n → ∞. Since · is convex, we see that N δn,i Jri (xn + en,i ) – x¯ yn – x¯ = i= ≤ N δn,i Jri (xn + en,i ) – x¯ i= ≤ xn – x¯ + N en,i en,i + xn – x¯ . i= It follows that xn+ – x¯ = αn f (xn ) – x¯ , J(xn+ – x¯ ) + βn xn – x¯ , J(xn+ – x¯ ) + γn yn – x¯ , J(xn+ – x¯ ) ≤ αn αxn – x¯ xn+ – x¯ + αn f (¯x) – x¯ , J(xn+ – x¯ ) + βn xn – x¯ xn+ – x¯ + γn yn – x¯ xn+ – x¯ αn α xn – x¯ + xn+ – x¯ + αn f (¯x) – x¯ , J(xn+ – x¯ ) ≤ γn βn + xn – x¯ + xn+ – x¯ + xn – x¯ + N i= γn en,i en,i + xn – x¯ + xn+ – x¯ . Hence, we have xn+ – x¯ ≤ – αn ( – α) xn – x¯ + αn f (¯x) – x¯ , J(xn+ – x¯ ) + N en,i en,i + xn – x¯ . i= Using Lemma ., we find xn → x¯ as n → ∞. This completes the proof. Wu et al. Fixed Point Theory and Applications 2014, 2014:118 http://www.fixedpointtheoryandapplications.com/content/2014/1/118 Page 8 of 11 Remark . There are many spaces satisfying the restriction in Theorem ., for example Lp , where p > . Corollary . Let E be a Hilbert space and let N ≥ be some positive integer. Let Am be a maximal monotone operator in E for each m ∈ {, , . . . , N}. Assume that C := N m= D(Am ) is convex and has the normal structure. Let f : C → C be an α-contractive mapping. Let {αn }, {βn }, and {γn } be real number sequences in (, ) with the restriction αn + βn + γn = . Let {δn,i } be a real number sequence in (, ) with the restriction δn, + δn, + · · · + δn,N = . Let {rm } be a positive real numbers sequence and {en,i } a sequence in E for each i ∈ {, , . . . , N}. – Assume that N i= Ai () is not empty. Let {xn } be a sequence generated in the following manner: x ∈ C, xn+ = αn f (xn ) + βn xn + γn N δn,i Jri (xn + en,i ), ∀n ≥ , i= where Jri = (I + ri Ai )– . Assume that the control sequences {αn }, {βn }, {γn }, and {δn,i } satisfy the following restrictions: (a) limn→∞ αn = , ∞ n= αn = ∞; (b) < lim infn→∞ βn ≤ lim supn→∞ βn < ; ∞ (c) n= en,m < ∞; (d) limn→∞ δn,i = δi ∈ (, ). Then the sequence {xn } converges strongly to x¯ , which is the unique solution to the following – variational inequality: f (¯x) – x¯ , p – x¯ ≤ , ∀p ∈ N i= Ai (). 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 NC (x) for C at a point x ∈ C is defined by NC (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 Ai : C → E∗ a single valued, monotone and hemicontinu ous operator. Assume that N i= VI(C, Ai ) is not empty and C has the normal structure. Let f : C → C be an α-contractive mapping. Let {αn }, {βn }, and {γn } be real number sequences in (, ) with the restriction αn + βn + γn = . Let {δn,i } be a real number sequence in (, ) with the restriction δn, + δn, + · · · + δn,N = . Let {rm } be a positive real numbers sequence Wu et al. Fixed Point Theory and Applications 2014, 2014:118 http://www.fixedpointtheoryandapplications.com/content/2014/1/118 Page 9 of 11 and {en,i } a sequence in E for each i ∈ {, , . . . , N}. Let {xn } be a sequence generated in the following manner: x ∈ C, xn+ = αn f (xn ) + βn xn + γn N i= δn,i VI C, Ai + (I – xn ) , ri ∀n ≥ . Assume that the control sequences {αn }, {βn }, {γn }, and {δn,i } satisfy the following restrictions: (a) limn→∞ αn = , ∞ n= αn = ∞; (b) < lim infn→∞ βn ≤ lim supn→∞ βn < ; ∞ (c) n= en,m < ∞; (d) limn→∞ δn,i = δi ∈ (, ). Then the sequence {xn } 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 Ti ⊂ E × E∗ by ⎧ ⎨A x + N x, x ∈ C, i C Ti x := ⎩∅, x ∈/ C. From Rockafellar [], we find that Ti is maximal monotone with Ti– () = VI(C, Ai ). For each ri > , and xn ∈ E, we see that there exists a unique xri ∈ D(Ti ) such that xn ∈ xri + ri Ti (xri ), where xri = (I + ri Ti )– xn . Notice that yn,i = VI C, Ai + (I – xn ) , ri which is equivalent to y – yn,i , Ai yn,i + (yn,i – xn ) ≥ , ri ∀y ∈ C, that is, –Ai yn,i + ri (xn – yn,i ) ∈ NC (yn,i ). This implies that yn,i = (I + ri Ti )– xn . Using Theorem ., 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 {αn }, {βn }, and {γn } be real number sequences in (, ) with the restriction αn + βn + γn = . Let {xn } be a sequence generated in the following manner: x ∈ C, xn+ = αn f (xn ) + βn xn + γn VI C, A + (I – xn ) , r ∀n ≥ . Assume that the control sequences {αn }, {βn }, and {γn } satisfy the following restrictions: Wu et al. Fixed Point Theory and Applications 2014, 2014:118 http://www.fixedpointtheoryandapplications.com/content/2014/1/118 (a) limn→∞ αn = , ∞ n= αn = ∞; (b) < lim infn→∞ βn ≤ lim supn→∞ βn < . Then the sequence {xn } converges strongly to x¯ , which is the unique solution to the following variational inequality: f (¯x) – x¯ , J(p – x¯ ) ≤ , ∀p ∈ VI(C, Ai ). 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 References 1. Bruck, RE: Nonexpansive projections on subsets of Banach spaces. Pac. J. Math. 47, 341-355 (1973) 2. Reich, S: Asymptotic behavior of contractions in Banach spaces. J. Math. Anal. Appl. 44, 57-70 (1973) 3. Goebel, K, Reich, S: Uniform Convexity, Hyperbolic Geometry, and Nonexpansive Mappings. Dekker, New York (1984) 4. Kopecká, EE, Reich, S: Nonexpansive retracts in Banach spaces. Banach Cent. 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