1 Introduction

Throughout this paper, we always assume that H is a real Hilbert space endowed with an inner product and its induced norm denoted by , and ||, respectively. Let C be a nonempty, closed and convex subset of H and let A:CH be a nonlinear mapping.

Definition 1.1 A is said to be

  1. (i)

    monotone if

AxAy,xy0,x,yC;
  1. (ii)

    strongly monotone if there exists a constant α>0 such that

    AxAy,xyα x y 2 ,x,yC.

For such a case, A is said to be α-strongly-monotone;

  1. (iii)

    inverse-strongly monotone if there exists a constant α>0 such that

    AxAy,xyα A x A y 2 ,x,yC.

For such a case, A is said to be α-inverse-strongly-monotone;

  1. (iv)

    k-Lipschitz continuous if there exists a constant k0 such that

    AxAykxy,x,yC.

Remark 1.2 Let F=μBγf, where B is a θ-Lipschitz and η-strongly monotone operator on H with θ>0 and f is a Lipschitz mapping on H with coefficient L>0, 0<γ μ η L . It is a simple matter to see that the operator F is (μηγL)-strongly monotone over H, i.e.,

FxFy,xy(μηγL) x y 2 ,(x,y)H×H.

The classical variational inequality, which is denoted by VI(A,C), is to find xC such that

Ax,yx0,yC.
(1.1)

The variational inequality has been extensively studied in literature (see [17] and the references therein).

A mapping T:CC is said to be nonexpansive if

TxTyxy,x,yC.

A mapping T is said to be firmly nonexpansive if

T x T y 2 xTx,yTy,x,yC;

see, for instance, [811]. It is known that a mapping T:CC is firmly nonexpansive if and only if

T x T y 2 + ( I T ) x ( I T ) y 2 x y 2 ,x,yC.

T is said to be nonspreading in [12] if

T x T y 2 T x y 2 + T y x 2 ,x,yC.
(1.2)

It is shown in [13] that (1.2) is equivalent to

T x T y 2 x y 2 +2xTx,yTy,x,yC.

These mappings are generalization of a firmly nonexpansive mapping in a Hilbert space. T:CC is said to be firmly nonexpansive if

T x T y 2 xy,TxTy,x,yC.

See [1417] for more information on firmly nonexpansive mappings.

Definition 1.3 T:HH is called demicontractive on H if there exists a constant α<1 such that

T x q 2 x q 2 +α x T x 2 ,(x,q)H× F i x (T).
(1.3)

Definition 1.4 [18]

T:D(T)HH is ϱ-strictly pseudononspreading if there exists ϱ[0,1) such that

T x T y 2 x y 2 +ϱ x T x ( y T y ) 2 +2xTx,yTy,
(1.4)

for all x,yD(T).

Remark 1.5 It is easy to claim that firmly nonexpansive mapping ⇒ nonspreading mapping ⇒ ϱ-strictly pseudononspreading mapping.

Indeed, from the definition of those mappings, x,yC, we obtain

Clearly, every nonspreading mapping is ϱ-strictly pseudononspreading. The following example shows that the class of ϱ-strictly pseudononspreading mappings is more general than the class of nonspreading mappings. Let us give an example of a ϱ-strictly pseudononspreading mapping satisfying the condition of Definition 1.4.

Example 1.6 Let X= l 2 with the norm defined by

x= i = 1 x i 2 ,x=( x 1 , x 2 ,, x n ,)X,

C={x=( x 1 , x 2 ,, x n ,)| x i R 1 ,i=1,2,}, and let C be an orthogonal subspace of X (i.e., x,yC, we have x,y=0). Then it is obvious that C is a nonempty closed convex subset of X. Now, for any x=( x 1 , x 2 ,, x n ,)C, define a mapping T:CC as follows:

Tx={ ( x 1 , x 2 , , x n , ) , i = 1 x i < 0 , ( 2 x 1 , 2 x 2 , , 2 x n , ) , i = 1 x i 0 .
(1.5)

To see that T is 1 3 -strictly pseudononspreading, we break the process of proof into three cases. x,yC,

Case 1: i = 1 x i <0 and i = 1 y i <0, observe that

T x T y 2 x y 2 + 1 3 x T x ( y T y ) 2 +2xTx,yTy, 1 3 [0,1),

since T x T y 2 = x y 2 and 1 3 x T x ( y T y ) 2 =2xTx,yTy=0.

Case 2: i = 1 x i 0 and i = 1 y i 0, we obtain T x T y 2 = x + 2 y 2 = x 2 +4x,y+4 y 2 , 2xTx,yTy=0 and 1 3 x T x ( y T y ) 2 =3 y 2 .

Hence,

Case 3: i = 1 x i 0 and i = 1 y i 0, we have T x T y 2 =4 x y 2 , x T x ( y T y ) 2 =9 x y 2 and 2xTx,yTy=18x,y=0. Thus

T x T y 2 = 4 x y 2 = x y 2 + 1 3 x T x ( y T y ) 2 x y 2 + 1 3 x T x ( y T y ) 2 + 2 x T x , y T y .

From (1), (2) and (3), we obtain that T is 1 3 -strictly pseudononspreading, i.e.,

T x T y 2 = x y 2 + 1 3 x T x ( y T y ) 2 +2xTx,yTy,x,yR.

We can easily know that F i x (T)={( x 1 , x 2 ,, x n ,), i = 1 x i <0}{0}, where F i x (T) is defined by the set of fixed points of T.

T is not nonspreading, since for x={0,0,,0,}, y={1,0,,0,}, we have T x T y 2 =4, x y 2 =1 and 2xTx,yTy=0, we obtain

T x T y 2 =4>1= x y 2 +2xTx,yTy.

Since our class of maps contains the class of nonspreading mappings, it also contains the class of firmly nonexpansive mappings.

Remark 1.7 [19]

Let T be an α-demicontractive mapping on H with F i x (T) and T ω =(1ω)I+ωT for ω(0,):

(A1) T α-demicontractive is equivalent to

x T ω x,xq ω 2 x T x 2 ,(x,q)H× F i x (T).

(A2) F i x (T)= F i x ( T ω ) if ω0.

Remark 1.8 Observe that if T is ϱ-strictly pseudononspreading and F i x (T), then xD(T) and p F i x (T), we obtain

T x p 2 x p 2 +ϱ x T x 2 .

Thus, every ϱ-strictly pseudononspreading mapping with a nonempty fixed point set F i x (T) is demicontractive (see [20, 21]).

Remark 1.9 According to Remark 1.7(A1) and the fact that the ϱ-strictly pseudononspreading mapping of T is demicontractive, let I T ω =ω(IT). Then we obtain

x T ω x,xq ω ( 1 ϱ ) 2 x T x 2 ,(x,q)H× F i x (T).
(1.6)

In 2011, Osilike and Isiogugu [12] introduced the following propositions and proved a strong convergence theorem somewhat related to a Halpern-type iteration algorithm for a ϱ-strictly pseudononspreading mapping in Hilbert spaces.

Proposition 1.10 [12]

Let C be a nonempty closed convex subset of a real Hilbert space H and let T:CC be a ϱ-strictly pseudononspreading mapping. If F i x (T), then it is closed and convex.

Proposition 1.11 [12]

Let C be a nonempty closed convex subset of a real Hilbert space H and let T:CC be a ϱ-strictly pseudononspreading mapping. Then (IT) is demiclosed at 0.

Theorem 1.12 [12]

Let C be a nonempty closed convex subset of a real Hilbert space H and let T:CC be a ϱ-strictly pseudononspreading mapping with a nonempty fixed point set F i x (T). Let α[ϱ,1) and let { α n } n = 1 be a real sequence in [0,1) such that lim n α n =0 and n = 0 α n =. Let uC, { x n } and { z n } be sequences in C generated from an arbitrary x 1 C by

{ x n + 1 = α n u + ( I α n ) z n , n > 0 , z n = 1 n k = 1 n 1 T α k x n , n 1 .
(1.7)

Then { x n } and { z n } converge strongly to P F i x ( T ) u, where P F i x ( T ) :H F i x (T) is a metric projection of H onto F i x (T).

In 2010, Tian [22] introduced the following theorem for finding an element of a set of solutions to the fixed point of a nonexpansive mapping in a Hilbert space.

Theorem 1.13 [22]

Let f be a contraction on a real Hilbert space H and T be a nonexpansive mapping on H. Starting with an arbitrary initial x 0 H, define a sequence { x n } generated by

x n + 1 = α n γf( x n )+(Iμ α n B)T x n ,n0,
(1.8)

where B is a θ-Lipschitz and η-strongly monotone operator on H with θ>0, η>0 and 0<μ<2η/ θ 2 . Assume also that a sequence { α n } is a sequence in (0,1) satisfying the following conditions:

(c1) lim n α n =0 and n = 0 α n =,

(c2) n = 0 | α n + 1 α n |< or lim n α n + 1 / α n =1.

Then the sequence { x n } generated by (1.8) converges strongly to the unique solution x F i x (T) of the variational inequality

( γ f μ B ) x , x x 0,x F i x (T).
(1.9)

In this paper, we combine Theorem 1.12 and Theorem 1.13 and introduce the following general iterative algorithm for a ϱ-strictly pseudononspreading mapping T.

Algorithm 1.14 Let x 0 H be arbitrary

{ x n + 1 = α n γ f ( x n ) + ( I μ α n B ) z n , n > 0 , z n = 1 n k = 1 n T α k x n , n 1 ,

where B:HH is η-strongly monotone and boundedly Lipschitzian, f is an L-Lipschitz mapping on H with coefficient L>0 and T α k =(1α)I+α T k , α( ϱ k , 1 2 ).

Under suitable conditions, some strong convergence theorems are proved in the following chapter.

2 Preliminaries

Throughout this paper, we write x n x to indicate that the sequence { x n } converges weakly to x. x n x implies that { x n } converges strongly to x. The following lemmas are useful for main results.

Definition 2.1 A mapping T is said to be demiclosed if for any sequence { x n } which weakly converges to y, and if the sequence {T x n } strongly converges to z, then T(y)=z.

Lemma 2.2 [3]

Assume { α n } is a sequence of nonnegative real numbers such that

α n + 1 (1 γ n ) α n + δ n ,n0,

where { γ n } is a sequence in (0,1) and { δ n } is a sequence insuch that

  1. (i)

    n = 1 γ n =,

  2. (ii)

    lim sup n δ n γ n =0 or n = 1 | δ n |<.

Then lim n α n =0.

Lemma 2.3 [1]

Let { T n } be a sequence of real numbers that does not decrease at infinity, in the sense that there exists a subsequence { T n j } j 0 of { T n } which satisfies T n j < T n j + 1 for all j0. Also, consider the sequence of integers { δ ( n ) } n n 0 defined by

δ(n)=max{kn| T k < T k + 1 }.
(2.1)

Then { δ ( n ) } n n 0 is a nondecreasing sequence verifying lim n δ(n)=, n n 0 . It holds that T δ ( n ) < T δ ( n ) + 1 , and we have

T n < T δ ( n ) + 1 .

Lemma 2.4 Let K be a closed convex subset of a real Hilbert space H given xH and yK. Then y= P K x if and only if the following inequality holds:

xy,yz0,zK.

3 Main results

Let C be a nonempty closed convex subset of a real Hilbert space H and let T k :CC be a ϱ k -strictly pseudononspreading mapping with a common nonempty fixed point set k n F i x ( T k ). Let f be an L-Lipschitz mapping on H with coefficient L>0. Assume the set k n F i x ( T k ) is nonempty. Since k n F i x ( T k ) is closed and convex, the nearest point projection from C onto k n F i x ( T k ) is well defined. Recall B:HH is η-strongly monotone and θ-Lipschitzian on H with θ>0, η>0. Let 0<μ<2η/ θ 2 , 0<γ<μ(η μ θ 2 2 )/L=τ/L, consider the following sequence { x n } defined by

{ x n + 1 = α n γ f ( x n ) + ( I μ α n B ) z n , n > 0 , z n = 1 n k = 1 n T α k x n , n 1 ,
(3.1)

where T α k =(1α)I+α T k , α( ϱ k , 1 2 ), k={1,2,,n}, and { α n } is a sequence in (0,1) satisfying the following conditions:

(c1) lim n α n =0,

(c2) n = 0 α n = or lim n α n + 1 / α n =1.

Remark 3.1 [23]

Let H be a real Hilbert space. Let B be a θ-Lipschitzian and η-strongly monotone operator on H with θ>0, η>0. Let 0<μ<2η/ θ 2 , let S=(ItμB) and μ(η μ θ 2 2 )=τ, then for t(0,min{1, 1 τ }), S is a contraction with a constant 1tτ.

Before stating our main result, we introduce some lemmas for algorithm (3.1) as follows.

Lemma 3.2 The sequence { x n } is generated by (3.1) with T k being a ϱ-strictly pseudononspreading mapping on H and { α n }(0,1). Then { x n } is bounded.

Proof Let T α k x=(1α)x+α T k x and 0< ϱ k <α< 1 2 . Then x,yC, we have

T α k x T α k y 2 = α x y 2 + ( 1 α ) T k x T k y 2 α ( 1 α ) x T k x ( y T k y ) 2 α x y 2 + ( 1 α ) [ x y 2 + ϱ k x T k x ( y T k y ) 2 + 2 x T k x , y T k y ] α ( 1 α ) x T k x ( y T k y ) 2 = x y 2 + 2 ( 1 α ) x T k x , y T k y ( 1 α ) ( α ϱ k ) x T k x ( y T k y ) 2 x y 2 + 2 ( 1 α ) x T k x , y T k y = x y 2 + 2 ( 1 α ) α 2 x T α k x , y T α k y .
(3.2)

From p k n F i x ( T k ) and (3.2), we also have

T α k x n p x n p.
(3.3)

According to (3.3), (3.1) and Remark 3.1, we obtain

z n p= 1 n k = 1 n T α k x n p 1 n k = 1 n T α k x n p 1 n k = 1 n x n p= x n p.
(3.4)

Thus,

x n + 1 p = α n γ ( f ( x n ) f ( p ) ) + α n ( γ f ( p ) μ B p ) + ( I μ α n B ) ( z n p ) α n γ f ( x n ) f ( p ) + α n γ f ( p ) μ B p + ( 1 α n τ ) z n p α n γ f ( x n ) f ( p ) + α n γ f ( p ) μ B p + ( 1 α n τ ) x n p ,
(3.5)

which combined with f( x n )f(p)L x n p amounts to

x n + 1 p ( 1 α n ( τ γ L ) ) x n p+ α n γ f ( p ) μ B p .
(3.6)

Putting M 1 =max{ x 0 p,γf(p)μBp}, we clearly obtain x n p M 1 . Hence { x n } n = 0 and { z n } n = 1 are bounded. From (3.3), we have that { T α k x n } n = 1 is also bounded. □

Now we are in a position to claim the main result.

Theorem 3.3 Assume C is a nonempty closed convex subset of a real Hilbert space H and let T k :CC be a ϱ k -strictly pseudononspreading mapping with a common nonempty fixed point set k n F i x ( T k ). Let f be an L-Lipschitz mapping on H with coefficient L>0 and B:HH be η-strongly monotone and θ-Lipschitzian on H with θ>0, η>0. Let 0<μ<2η/ θ 2 , 0<γ<μ(η μ θ 2 2 )/L=τ/L. Consider the sequences { x n } n = 0 and { z n } n = 1 to be sequences in C generated from an arbitrary x 1 C by (3.1), where T α k =(1α)I+α T k , α( ϱ k , 1 2 ), k={1,2,,n}, { α n } n = 1 [0,1) and lim n α n =0. Then { x n } n = 1 and { z n } n = 1 converge strongly to the unique element x in k n F i x ( T k ) verifying

P k n F i x ( T k ) (IμB+γf) x = x ,
(3.7)

which equivalently solves the following variational inequality problem:

x k n F i x ( T k ) , ( γ f μ B ) x , v x 0,v k n F i x ( T k ) .
(3.8)

Proof According to Lemma 3.2, it is simple to know that { x n } n = 0 , { z n } n = 1 and { T α k x n } n = 1 are bounded. Thus, for yC and k=0,1,2,,n1 and according to (3.2) and (3.1), we have

T α k + 1 x n T α y 2 = T α ( T α k x n ) T α y 2 T α k x n y 2 + 2 ( 1 α ) T α k x n T α k + 1 x n , y T α y = T α k x n T α y 2 + T α y y 2 + 2 T α k x n T α y , T α y y + 2 ( 1 α ) T α k x n T α k + 1 x n , y T α y .
(3.9)

Summing (3.9) from k=0 to n and dividing by n, we obtain

1 n T α k + 1 x n T α y 1 n x n T α y 2 + T α y y 2 + 2 z n T α y , T α y y + 2 n ( 1 α ) x n T α n x n , T α y y .
(3.10)

Since { z n } n = 1 is bounded, then there exists a subsequence { z n j } j = 1 of { z n } n = 1 which converges weakly to ωC. Replacing n by n j in (3.10), we obtain

(3.11)

Since { x n } n = 1 and { T α n x n } n = 1 are bounded, letting j in (3.11) yields

0 T α y y 2 +2ω T α y, T α yy.
(3.12)

Let y=ω in (3.12). We obtain that ω F i x ( T α )= F i x (T).

Observe that since { x n } n = 0 and { z n } n = 1 are bounded, and lim n α n =0, then

x n + 1 z n = α n γ f ( x n ) μ B z n α n γ f ( x n ) f ( p ) + α n γ f ( p ) μ B p + α n μ B ( z n p ) α n γ L x n p + α n γ f ( p ) μ B p + α n τ z n p ,

then

lim n x n + 1 z n =0.
(3.13)

We next show that

lim sup n ( γ f μ B ) z , x n + 1 z 0.
(3.14)

Indeed, take { x n j + 1 } n = 1 of { x n + 1 } n = 1 such that

lim sup n ( γ f μ B ) x , x n + 1 x = lim j ( γ f μ B ) x , x n j + 1 x ,

where x is obtained in (3.7). We may assume that x n j + 1 z as j. From (3.13), we have z n j z as j, then to arbitrary bounded linear functional g on H, we have

g ( z n j ) g ( z ) g ( z n j ) g ( x n j + 1 ) + g ( x n j + 1 ) g ( z ) g z n j x n j + 1 + g ( x n j + 1 ) g ( z ) 0 , as  j 0 .

Thus, we obtain z n j z as j0, and z F i x (T). Hence, we have

lim j ( γ f μ B ) x , x n j + 1 x = ( γ f μ B ) x , z x 0.
(3.15)

Moreover, from (3.1), (3.13) and (3.14), we have

(3.16)

As required, finally we show that x n x and z n x .

According to (3.1), (3.4) and (3.16), we obtain

x n + 1 x 2 = α n ( γ f ( x n ) μ B x ) + ( I μ α n B ) z n ( I μ α n B ) x 2 = α n 2 γ f ( x n ) μ B x 2 + ( I μ α n B ) z n ( I μ α n B ) x 2 + 2 α n ( I μ α n B ) z n ( I μ α n B ) x , γ f ( x n ) μ B x α n 2 γ f ( x n ) μ B x 2 + ( 1 α n τ ) 2 z n x 2 + 2 α n [ z n x , γ f ( x n ) μ B x μ α n B z n B x , γ f ( x n ) μ B x ] [ ( 1 α n τ ) 2 + 2 α n γ L ] x n x 2 + α n [ 2 z n x , γ f ( x n ) μ B x + α n γ f ( x n ) μ B x 2 + 2 μ α n B z n B x γ f ( x n ) μ B x ] [ 1 2 α n ( τ γ L ) ] x n x 2 + α n [ 2 x n x , γ f ( x n ) μ B x + α n γ f ( x n ) μ B x 2 + 2 μ α n B z n B x γ f ( x n ) μ B x + α n τ 2 x n x 2 ] = ( 1 α n ¯ ) x n x 2 + α n ¯ β n ¯ ,

where α n ¯ =2 α n (τγL),

β n ¯ = 1 2 ( τ γ L ) [ 2 x n x , γ f ( x n ) μ B x + α n γ f ( x n ) μ B x 2 + 2 μ α n B z n B x γ f ( x n ) μ B x + α n τ 2 x n x 2 ] .

It is easily seen that lim n α n ¯ , α n ¯ = and lim sup n β n ¯ 0. By Lemma 2.2, we conclude that x n x as n, and z n also converges strongly to the unique element x in F i x (T). In addition, the variational inequality (3.15) can be written as

( I μ B + γ f ) x x , z x 0,z k n F i x ( T k ) .

So, by Lemma 2.4, it is equivalent to the fixed point equation

P k n F i x ( T k ) (IμB+γf) x = x .

 □

Remark 3.4 For a nonspreading mapping T, we have ϱ=0 in Theorem 3.3 to obtain the following corollary.

Corollary 3.5 Assume C is a nonempty closed convex subset of a real Hilbert space H and let T k :CC be a nonspreading mapping with a common nonempty fixed point set k n F i x ( T k ). Let f be an L-Lipschitz mapping on H with coefficient L>0 and B:HH be η-strongly monotone and θ-Lipschitzian on H with θ>0, η>0. Let 0<μ<2η/ θ 2 , 0<γ<μ(η μ θ 2 2 )/L=τ/L, consider the sequences { x n } n = 0 and { z n } n = 1 to be sequences in C generated from an arbitrary x 1 C by

{ x n + 1 = α n γ f ( x n ) + ( I μ α n B ) z n , n > 0 , z n = 1 n k = 1 n T α k x n , n 1 ,

where T α k =(1α)I+α T k , α(0, 1 2 ), { α n } n = 1 [0,1) and lim n α n =0. Then { x n } n = 1 and { z n } n = 1 converge strongly to the unique element x in k n F i x ( T k ) verifying

P k n F i x ( T k ) (IμB+γf) x = x ,

which equivalently solves the following variational inequality problem:

x k n F i x ( T k ) , ( γ f μ B ) x , v x 0,v k n F i x ( T k ) .