1 Introduction

In 1938, Yosida [1] proved the following mean ergodic theorem for linear operators: Let E be a real Banach space and T j (j=1,2,) be linear operators of E into itself such that there exists a constant C with ( T 1 n ,, T j n )C for n=1,2,3, , and T j is weakly completely continuous, i.e., T j maps the closed unite ball of E into a weakly compact subset of E. Then the Cesaro means

S n , j x= 1 n k = 1 n T j k x

converges strongly as n+ to a fixed point of T j for each xE.

On the other hand, in 1975, Baillon [2] proved the following nonlinear ergodic theorem. Let X be a Banach space and C be a closed convex subset of X. The mappings T j :CC (j=1,2,) are called nonexpansive on C if

T j x T j yxyx,yC.

Let F( T j ) be the set of fixed points of T j . If X is strictly convex, F( T j ) is closed and convex. In [2], Baillon proved the first nonlinear ergodic theorem such that if X is a real Hilbert space and F( T j ), then for each xC, the sequence { S n , j x} defined by

S n , j x= ( 1 n ) ( x + T j x + + T j n 1 x )

converges weakly to a fixed point of T j . It was also shown by Pazy [3] that if X is a real Hilbert space and S n , j x converges weakly to yC, then yF( T j ).

Recently, Rodé [4] and Takahashi [5] tried to extend this nonlinear ergodic theorem to semigroup, generalizing the Cesaro means on N={1,2,}, such that the corresponding sequence of mappings converges to a projection onto the set of common fixed points. In this paper, by using Rodé’s method, we extend Yosida’s theorem to semigroups of linear operators in multi-Banach spaces. The proofs employ the methods of Yosida [1], Rodé [4], Greenleaf [6] and Takahashi [7, 8]. Our paper is motivated from ideas in [9].

2 Multi-Banach spaces

The notion of multi-normed space was introduced by Dales and Polyakov in [10]. This concept is somewhat similar to operator sequence space and has some connections with operator spaces and Banach lattices. Motivations for the study of multi-normed spaces and many examples are given in [1016].

Let (E,) be a complex normed space, and let kN. We denote by E k the linear space EE consisting of k-tuples ( x 1 ,, x k ), where x 1 ,, x k E. The linear operations on E k are defined coordinate-wise. The zero element of either E or E k is denoted by 0. We denote by N k the set {1,2,,k} and by Σ k the group of permutations on k symbols.

Definition 2.1 Let E be a linear space, and take kN. For σ Σ k , define

A σ (x)=( x σ ( 1 ) ,, x σ ( k ) ),x=( x 1 ,, x k ) E k .

For α=( α i ) C k , define

M α (x)=( α i x i ),x=( x 1 ,, x k ) E k .

Definition 2.2 Let (E,) be complex (respectively, real) normed space, and take nN. A multi-norm of level n on { E k :k N n } is a sequence ( k :k N n ) such that is a norm on E k for each k N n , such that x 1 =x for each xE (so that 1 is the initial norm), and such that the following axioms (A1)-(A4) are satisfied for each k N n with k2:

  • (A1) for each σ Σ k and x E k , we have

    A σ ( x ) k = x k ;
  • (A2) for each α 1 ,, α k C (respectively, each α 1 ,, α k R) and x E k , we have

    M α ( x ) k ( max i N k | α i | ) x k ;
  • (A3) for each x 1 ,, x k 1 , we have

    ( x 1 , , x k 1 , 0 ) k = ( x 1 , , x k 1 ) k 1 ;
  • (A4) for each x 1 ,, x k 1 E

    ( x 1 , , x k 2 , x k 1 , x k 1 ) k = ( x 1 , , x k 1 , x k 1 ) k 1 .

In this case, (( E k , k ):k N n ) is a multi-normed space of level n.

A multi-norm on { E k :kN} is a sequence

( k ) = ( k : k N )

such that ( k :k N n ) is a multi-norm of level n for each nN. In this case, (( E n , n ):nN) is a multi-normed space.

Lemma 2.3 [12]

Suppose that (( E k , k ):kN) is a multi-normed space, and take k N n . Then

  1. (a)

    ( x , , x ) k =x (xE);

  2. (b)

    max i N k x i ( x 1 , , x k ) k i = 1 k x i k max i N k x i ( x 1 ,, x k E).

It follows from (b) that, if (E,) is a Banach space, then ( E k , k ) is a Banach space for each kN; in this case (( E k , k ):kN) is a multi-Banach space.

Now we state two important examples of multi-norms for an arbitrary normed space E; cf. [10].

Example 2.4 The sequence ( k :kN) on { E k :kN} defined by

( x 1 , , x k ) k := max i N k x i ( x 1 ,, x k E)

is a multi-norm called the minimum multi-norm. The terminology ‘minimum’ is justified by property (b).

Example 2.5 Let {( k α :kN):αA} be the (non-empty) family of all multi-norms on { E k :kN}. For kN, set

( x 1 , , x k ) k := sup α A ( x 1 , , x k ) k α ( x 1 ,, x k E).

Then ( k :kN) is a multi-norm on { E k :kN}, called the maximum multi-norm.

We need the following observation, which can easily be deduced from the triangle inequality for the norm k and the property (b) of multi-norms.

Lemma 2.6 Suppose that kN and ( x 1 ,, x k ) E k . For each j{1,,k}, let ( x n j ) n = 1 , 2 , be a sequence in E such that lim n x n j = x j . Then for each ( y 1 ,, y k ) E k we have

lim n ( x n 1 y 1 , , x n k y k ) =( x 1 y 1 ,, x k y k ).

Definition 2.7 Let (( E k , k ):kN) be a multi-normed space. A sequence ( x n ) in E is a multi-null sequence if, for each ε>0, there exists n 0 N such that

sup k N ( x n , , x n + k 1 ) k <ε(n n 0 ).

Let xE. We say that the sequence ( x n ) is multi-convergent to xE and write

lim n x n =x

if ( x n x) is a multi-null sequence.

3 Preliminaries and lemmas

Let E a real Banach space and let E be the conjugate space of E, that is, the space of all continuous linear functionals on E. The value of x E at xE will be denoted by x, x . We denote by coD the convex hull of D, co ¯ D the closure of coD.

Let U be a linear continuous operator of E into itself. Then we denote by U the conjugate operator of U.

Assumption (A) Let ( E j , j ) be a multi-Banach space and { T j , t :tG} (j=1,2,) be a family of linear continuous operators of a real Banach space E j into itself such that there exists a real number C with ( T 1 , t , , T j , t ) j C for all tG and the weak closure of { T j , t x:tG} is weakly compact, for each xE. The index set G is a topological semigroup such that T j , s t = T j , s T j , t for all s,tG and T j is continuous with respect to the weak operator topology: T j , s x, x T j , t x, x for all xE and x E if st in G.

We denote by m j (G) the Banach space of all bounded continuous real valued functions on the topological semigroup G with the supremum norm. For each sG and f j m j (G), we define elements l s f j and r s f j in m j (G) given by l s f j (t)= f j (st) and r s f j (t)= f j (ts) for all tG. An element μ j m j ( G ) (the conjugate space of m j (G)) is called a mean on G if μ j = μ j (1)=1 moreover, we have ( μ 1 , , μ j ) j = i = 1 j μ i ( 1 ) j =1. A mean μ j on G is called left (right) invariant if μ j ( l s f j )= μ j ( f j ) ( μ j ( r s f j )= μ j ( f j )) for all f j m j (G) and sG. An invariant mean is a left and right invariant mean. We know that μ j m j ( G ) is a mean on G if and only if

inf { f j ( t ) : t G } μ j ( f j )sup { f j ( t ) : t G }

for every f j m j (G); see [6, 1720].

Let { T j , t :tG} be a family of linear continuous operators of E into itself satisfying Assumption (A) and μ j be a mean on G. Fix xE. Then, for x E , the real valued function t T j , t x, x is in m j (G). Denote by μ j , t T j , t x, x the value of μ j at this function. By linearity of μ j and of ,, this is linear in x ; moreover, since

| ( μ 1 , t T 1 , t x , x , , μ j , t T j , t x , x ) | ( μ 1 , , μ j ) j sup t | ( T 1 , t x , x , , μ j , t T j , t x , x ) | sup t ( T 1 x , , T j x ) j x j C x j x j

it is continuous in x . Hence we find that μ j , t T j , t x, is an element of E . So, from weak compactness of co ¯ { T j , t x:tG} such that μ j , t T j , t x, x = T j , μ j x, x for every x E .

Put K= co ¯ { T j , t x:tG} and suppose that the element μ j , t T j , t x, is not contained in the n(K), where n is the natural embedding of the Banach space E into its second conjugate space E . Then, since the convex set n(K) is compact in the weak topology of E , there exists an element y E such that

μ j , t T j , t x , y <inf { y , z : z n ( k ) } .

Hence, we have

μ j , t T j , t x , y < inf { y , z : z n ( k ) } inf { T j , t x , y : t G } μ j , t T j , t x , y .

This is a contradiction. Thus, for a mean μ j on G, we can define a linear continuous operator T j , μ j of E into itself such that ( T 1 , μ 1 , , T j , μ j ) j C, T j , μ j x co ¯ { T j , t x:tG} for all xE, and μ j , t T j , t x, x = T j , μ j x, x for all xE and x E . We denote by F j (G) the set all common fixed points of the mappings T j , t , tG.

Lemma 3.1 Assume that a left invariant mean μ j exists on G, then T j , μ j (E) F j (G). Especially, F j (G) is then not empty.

Proof Let xE and μ be a left invariant mean on G. Then since, for sG and x ,

T j , s T j , μ J x , x = T j , μ j x , T j , s x = μ j , t T j , t x , T j , s x = μ j , t T j , s T j , t x , x = μ j , t T j , s t x , x = μ j , t T j , t x , x = T j , μ j x , x ,

we have T j , s T j , μ j x= T j , μ j x. Hence, T j , μ j (E) F j (G). □

Lemma 3.2 Let λ j be an invariant mean on G. Then T j , λ j T j , s = T j , s T j , λ j = T j , λ j for each sG and T j , λ j T j , μ j = T j , μ j T j , λ j = T j , λ j for each mean μ j on G. Especially, T j , λ j is a projection of E onto F(G).

Proof Let sG. Then, since

T j , λ j T j , s x , x = λ j , t T j , t T j , s x , x = λ j , t T j , t s x , x = λ j , t T j , t x , x = T j , λ j x , x

for xE and x E , we have T j , λ j T j , s = T j , λ j . It is obvious from Lemma 3.1 that T j , s T j , λ j = T j , λ j for each sG. Let μ j be a mean on G. Then, since

T j , μ j T j , λ j x , x = μ j , t T j , t T j , λ j x , x = μ j , t T j , λ j x , x = T j , λ j x , x

and

T j , λ j T j , μ j x , x = T j , μ j x , T j , λ j x = μ j , t T j , t x , T j , λ j x = μ j , t T j , λ j T j , t x , x = μ j , t T j , λ j x , x = T j , λ j x , x

for xE and x E , we have T j , μ j T j , λ j = T j , λ j T j , μ j = T j , λ j . Putting μ j = λ j , we have T λ j 2 = T λ j and hence T λ j is a projection of E onto F j (G). □

As direct consequence of Lemma 3.2, we have the following.

Lemma 3.3 Let μ j and λ j be invariant means on G. Then T j , μ j = T j , λ j .

Lemma 3.4 Assume that an invariant mean exists on G. Then, for each xE, the set co ¯ { T j , t x:tG} F j (G) consists of a single point.

Proof Let xE and μ j be an invariant mean on G. Then we know that T j , μ j x F j (G) and T j , μ j x co ¯ { T j , t x:tG}. So, we show that co ¯ { T j , t x:tG} F j (G)={ T j , μ j x}. Let x 0 co ¯ { T j , t x:tG} F j (G) and ϵ>0. Then, for x E , there exists an element i = 1 n α i T j , t i x in the set co{ T j , t x:tG} such that ϵ>C x j i = 1 n α i T j , t i x x 0 j . Hence, we have

ϵ > C x j i = 1 n α i T j , t i x x 0 j sup t T j , t j i = 1 n α i T j , t i x x 0 j x j sup t i = 1 n α i T j , t T j , t i x x 0 j x j | i = 1 n α i T j , t T j , t i x x 0 , x | = | i = 1 n α i μ j , t T j , t t i x x 0 , x | = | μ j , t T j , t x x 0 , x | = | T j , μ j x x 0 , x | .

Since ϵ is arbitrary, we have T j , μ j x, x = x 0 , x for every x E and hence T j , μ j x= x 0 . □

4 Ergodic theorems

Now, we can prove mean ergodic theorems for semigroups of linear continuous operators in multi-Banach space.

Theorem 4.1 Let { T j , t :tG} be a family of linear continuous operators in a real Banach space E satisfying Assumption (A). If a net { μ j α :αI} of means on G is asymptotically invariant, i.e.,

μ j α r s μ j α and μ j α l s μ j α

converge to 0 in the weak topology of m j ( G ) for each sG, then there exists a projection Q j of E on to F j (G) such that ( Q 1 , , Q j ) j C, T j , μ j α x converges weakly to Q j x for each xE, Q j T j , t = T j , t Q j = Q j for each tG, and Q j x co ¯ { T j , t x:tG} for each xE. Furthermore, the projection Q j onto F j (G) is the same for all asymptotically invariant nets.

Proof Let μ j be a cluster point of net { μ j α :αI} in the weak topology of m j ( G ) . Then μ j is an invariant mean on G. Hence, by Lemma 3.2, T j , μ j is a projection of E onto F j (G) such that ( T 1 , μ 1 , , T j , μ j ) j C, T j , μ j T j , t = T j , t T j , μ j = T j , μ j for each tG and T j , μ j x co ¯ { T j , t x:tG} for each xE. Setting Q j = T j , μ j , we show that T j , μ j α x converges weakly to Q j x for each xE. Since T j , μ j α x co ¯ { T j , t x:tG} for all αI and co ¯ { T j , t x:tG} is weakly compact, there exists a subnet { T j , μ j β x:βJ} of { T j , μ j α x:αI} such that T j , μ j β x converges weakly to an element x 0 co ¯ { T j , t x:tG}. To show that T j , μ j α x converges weakly to Q j x, it is sufficient to show x 0 = Q j x. Let x E and sG. Since T j , μ j β x x 0 weakly, we have μ j , t β T j , t x, x x 0 , x and μ j , t β T j , t x, T j , s x x 0 , T j , s x = T j , s x 0 , x . On the other hand, since μ j β l s μ j β 0 in the weak topology, we have

μ j , t β T j , t x , x l s μ j , t β T j , t x , x = μ j , t β T j , t x , x μ j , t β T j , s t x , x = μ j , t β T j , t x , x μ j , t β T j , t x , T j , s x 0 .

Hence, we have x 0 , x = T j , s x 0 , x and hence x 0 F j (G). So, we obtain Q j x= T j , μ j x= x 0 from Lemma 3.4. That the projection Q j is the same for all asymptotically invariant nets is obvious from Lemma 3.3. □

As direct consequence of Theorem 4.1, we have the following.

Corollary 4.2 Let { T j , t :tG} be as in Theorem  4.1 and assume that an invariant mean exists on G. Then there exists a projection Q j of E onto F j such that ( Q 1 , , Q j ) j C, Q j T j , t = T j , t Q j = Q j for each tG and Q j x co ¯ { T j , t x:tG} for each xE.

Theorem 4.3 Let { T j , t :tG} be as in Theorem  4.1. If a net { μ j α :αI} of means on G is asymptotically invariant and further μ j α r s μ j α converges to 0 in the strong topology of m j ( G ) , then there exists a projection Q j of E onto F j (G) such that ( Q 1 , , Q j ) j C, T j , μ j α x converges strongly to Q j x for each xE, Q j T j , t = T j , t Q j = Q j for each tG, and Q j x co ¯ { T j , t x:tG} for each xE.

Proof As in the proof of Theorem 4.1, let Q j = T j , μ j , where μ j is a cluster point of the net { μ j α :αI} in the weak topology of m j ( G ) . We show that T j , μ j α x converges strongly to Q j x for each xE.

Let E 0 = co ¯ {y T j , t y:yE,tG}. Then, for any z E 0 , T j , μ j α z converges strongly to 0. In fact, if z=y T j , s y, then since, for any y E ,

| T j , μ j α z , y | = | μ j , t α T j , t ( y T j , s y ) , y | = | μ j , t α T j , t y , y μ j , t α T j , t s y , y | = | ( μ j , t α r s μ j , t α ) T j , t y , y | ( μ 1 α r s μ 1 α , , μ j α r s μ j α ) j sup t | T j , t y , y | ( μ 1 α r s μ 1 α , , μ j α r s μ j α ) j C y j y j ,

we have ( T 1 , μ 1 α z , , T j , μ j α z ) j C ( μ 1 α r s μ 1 α , , μ j α r s μ j α ) j y j . Using this inequality, we show that T j , μ j α z converges strongly to 0 for any z E 0 . Let z be any element of E 0 and ϵ be any positive number. By the definition of E 0 , there exists an element i = 1 n a i ( y i T j , s i y i )ϵ in the set co{y T j , s y:yE,sG} such that ϵ>2C ( z i = 1 n a i ( y i T 1 , s i y i ) , , z i = 1 n a i ( y i T j , s i y i ) ) j . On the other hand, from ( μ 1 α r s μ 1 α , , μ j α r s μ j α ) j 0 for all sG, there exists a 0 I such that, for all α α 0 and i=1,2,,n,

ϵ> ( μ 1 α r s i μ 1 α , , μ j α r s i μ j α ) j 2C y i j .

This yields

( T 1 , μ 1 α z , , T j , μ j α z ) j ( T 1 , μ 1 α z T 1 , μ 1 α ( i = 1 n a i ( y i T 1 , s i y i ) ) , , T j , μ j α z T j , μ j α ( i = 1 n a i ( y i T j , s i y i ) ) ) j + ( T 1 , μ 1 α ( i = 1 n a i ( y i T 1 , s i y i ) ) , , T j , μ j α ( i = 1 n a i ( y i T j , s i y i ) ) ) j ( T 1 , μ 1 α , , T j , μ j α ) j ( z i = 1 n a i ( y i T 1 , s i y i ) , , z i = 1 n a i ( y i T j , s i y i ) ) j + i = 1 n ( T 1 , μ j α ( y i T 1 , s i y i ) , , T j , μ j α ( y i T j , s i y i ) ) j C ( z i = 1 n a i ( y i T 1 , s i y i ) , , z i = 1 n a i ( y i T j , s i y i ) ) j + sup i ( μ 1 α r s i μ 1 α , , μ j α r s i μ j α ) j C y i j < ϵ 2 + ϵ 2 = ϵ .

Hence, T j , μ j α Z converges strongly to 0 for each z E 0 .

Next, assume that x T j , μ j x for some xE is not contained in the set E 0 . Then, by the Hahn-Banach theorem, there exists a linear continuous functional y such that x T j , μ j x, y =1 and z, y =0 for all z E 0 . So since x T j , t x E 0 for all tG, we have

x T j , μ j x , y = μ j , t x T j , t x , y =0.

This is a contradiction. Hence, x T j , μ j for all xE are contained in E 0 . Therefore we find that T j , μ j α x T j , μ j x= T j , μ j α (x T j , μ j ) converges strongly to 0 for all xE. This completes the proof. □

By using Theorem 4.3, we can obtain the following corollary.

Corollary 4.4 Let E be a real Banach space and T j be a linear operator of E into itself such that exists a constant C with ( T 1 n , , T j n ) j C for n=1,2, , and T j is weakly completely continuous, i.e., T j maps the closed unit ball of E into a weakly compact subset of E. Then there exists a projection Q j of E onto the set F j (T) of all fixed point of T j such that ( Q 1 , , Q j ) j C, the Cesaro means S j , n = 1 n k = 1 n T j k x converges strongly to Q j x for each xE, and T j Q j = Q j T j = Q j .

Proof Let xE. Then, since { T j n x:n=1,2,}= T j ({ T n 1 x:n=1,2,}) T j (B(0,x(c+1))), where B(x,r) means the closed ball with center x and radius r, the weak closure of { T j n x:n=1,2,} is weakly compact. On the other hand, let G={1,2,3,} with the discrete topology and μ j n be a mean on G such that μ j n ( f j )= i = 1 n ( 1 n ) f j (i) for each f j m j (G). Then it is obvious that ( μ 1 n r k μ 1 n , , μ j n r k μ j n ) j 2 k n 0 for all kG. So, it follows from Theorem 4.3 that Corollary 4.4 is true. □

If G=[0,) with the natural topology, then we obtain the corresponding result.

Corollary 4.5 Let E be a real Banach space and { T j , t :t[0,)} be a family of linear operators of E into itself satisfying Assumption (A). Then there exists a projection Q j of E onto F j (G) such that ( Q 1 , , Q j ) j C, 1 T 0 T T j , t xdt converges strongly to Q j x for each xE, and T j , t Q j = Q j T j , t = Q j for each t[0,).

Remark 4.6 1 T 0 T T j , t xdt are weak vector valued integrals with respect to means on G=[0,). As in Section IV of Rodé [4], we can also obtain the strong convergence of the sequences

(1r) k = 1 r k T j k x,r1

and

λ 0 e λ t T j , t xdt,λ0+.