1 Introduction

By L(X,Y), we denote the space of all bounded linear operators from a normed space X into a normed space Y. The set of natural numbers will denote by N={0,1,2,} and the real numbers by ℝ. By ω, we denote the space of all real sequences. A map which assigns to every operator TL(X,Y) a unique sequence ( s n ( T ) ) n = 0 is called an s-function and the number s n (T) is called the n th s-numbers of T if the following conditions are satisfied:

  1. (a)

    T= s 0 (T) s 1 (T)0, for all TL(X,Y).

  2. (b)

    s n + m ( T 1 + T 2 ) s n ( T 1 )+ T 2 , for all T 1 , T 2 L(X,Y).

  3. (c)

    s n (RST)R s n (S)T, for all TL( X 0 ,X), SL(X,Y) and RL(Y, Y 0 ).

  4. (d)

    s n (λT)=|λ| s n (T), for all TL(X,Y), λR.

  5. (e)

    rank(T)n If s n (T)=0, for all TL(X,Y).

  6. (f)

    s r ( I n )={ 1 for  r < n , 0 for  r n , where I n is the identity operator on the Euclidean space 2 n . Example of s-numbers, we mention approximation number α r (T), Gelfand numbers c r (T), Kolmogorov numbers d r (T) and Tichomirov numbers d n (T) defined by: All of these numbers satisfy the following condition:

  7. (I)

    α r (T)=inf{TA:AL(X,Y) and rank(A)r}.

  8. (II)

    c r (T)= a r ( J Y T), where J Y is a metric injection (a metric injection is a one to one operator with closed range and with norm equal one) from the space Y into a higher space (Λ) for suitable index set Λ.

  9. (III)

    d n (T)= inf dim Y n sup x 1 inf y Y Txy.

  10. (IV)

    d r (T)= d r ( J Y T).

  11. (g)

    s n + m ( T 1 + T 2 ) s n ( T 1 )+ s m ( T 2 ) for all T 1 , T 2 L(X,Y).

An operator ideal U is a subclass of L={L(X,Y);X,Y are Banach spaces} such that its components {U(X,Y);X,Y are Banach spaces} satisfy the following conditions:

  1. (i)

    I K U, where K denotes the 1-dimensional Banach space, where UL.

  2. (ii)

    If T 1 , T 2 U(X,Y), then λ 1 T 1 + λ 2 T 2 U(X,Y) for any scalars λ 1 , λ 2 .

  3. (iii)

    If VL( X 0 ,X), TU(X,Y), RL(Y, Y 0 ) then RTVU( X 0 , Y 0 ). See [13].

An Orlicz function is a function M:[0,[[0,[ which is continuous, non-decreasing and convex with M(0)=0 and M(x)>0 for x>0, and M(x) as x. See [4, 5].

If convexity of Orlicz function M is replaced by M(x+y)M(x)+M(y). Then this function is called modulus function, introduced by Nakano [6]; also, see [7, 8] and [9]. An Orlicz function M is said to satisfy Δ 2 -condition for all values of u, if there exists a constant k>0, such that M(2u)kM(u) (u0). The Δ 2 -condition is equivalent to M(lu)klM(u) for all values of u and for l>1. Lindentrauss and Tzafriri [10] used the idea of Orlicz function to construct Orlicz sequence space

M = { x ω : n = 0 M ( | x n | ρ ) < ,  for some  ρ > 0 } ,

which is a Banach space with respect to the norm

x=inf { ρ > 0 : n = 0 M ( | x n | ρ ) 1 } .

For M(t)= t p , 1p< the space M coincides with the classical sequence space p . Recently, different classes of sequences have been introduced by using an Orlicz function. See [11] and [12].

Remark 1.1 Let M be an Orlicz function then M(λx)λM(x) for all λ with 0<λ<1.

For a sequence p=( p n ) of positive real numbers with p n 1, for all nN the generalized Cesáro sequence space is defined by

Ces( p n )= { x = ( x k ) ω : ρ ( λ x ) <  for some  λ > 0 } ,

where

ρ(x)= n = 0 ( 1 n + 1 k = 0 n | x k | ) p n .

The space Ces( p n ) is a Banach space with the norm

x=inf { λ > 0 : ρ ( x λ ) 1 } .

If p=( p n ) is bounded, we can simply write

Ces( p n )= { x ω : n = 0 ( 1 n + 1 k = 0 n | x k | ) p n < } .

Also, some geometric properties of Ces( p n ) are studied by Sanhan and Suantai [13].

Throughout this paper, the sequence ( p n ) is a bounded sequence of positive real numbers, we denote e i =(0,0,,1,0,0,) where 1 appears at i th place for all iN. Different classes of paranormed sequence spaces have been introduced and their different properties have been investigated. See [1418] and [19].

For any bounded sequence of positive numbers ( p k ), we have the following well-known inequality | a k + b k | p k 2 h 1 ( | a k | p k + | b k | p k ),h= sup n p n , and p k 1 for all kN. See [20].

2 Preliminary and notation

Definition 2.1 A class of linear sequence spaces E, called a special space of sequences (sss) having the following conditions:

  1. (1)

    E is a linear space and e n E, for each nN.

  2. (2)

    If xω, yE and | x n || y n |, for all nN, then xEi.e. E is solid’,

  3. (3)

    if ( x n ) n = 0 E, then ( x [ n 2 ] ) n = 0 =( x 0 , x 0 , x 1 , x 1 , x 2 , x 2 ,)E, where [ n 2 ] denotes the integral part of n 2 .

We call such space E ρ a pre modular special space of sequences if there exists a function ρ:E[o,[, satisfies the following conditions:

  1. (i)

    ρ(x)0 x E ρ and ρ(θ)=0, where θ is the zero element of E,

  2. (ii)

    there exists a constant l1 such that ρ(λx)l|λ|ρ(x) for all values of xE and for any scalar λ,

  3. (iii)

    for some numbers k1, we have the inequality ρ(x+y)k(ρ(x)+ρ(y)), for all x,yE,

  4. (iv)

    if | x n || y n |, for all nN then ρ(( x n ))ρ(( y n )),

  5. (v)

    for some numbers k 0 1 we have the inequality ρ(( x n ))ρ(( x [ n 2 ] )) k 0 ρ(( x n )),

  6. (vi)

    for each x= ( x ( i ) ) i = 0 E there exists sN such that ρ ( x ( i ) ) i = s <. This means the set of all finite sequences is ρ-dense in E.

  7. (vii)

    for any λ>0 there exists a constant ζ>0 such that ρ(λ,0,0,0,)ζλρ(1,0,0,0,).

It is clear that from condition (ii) that ρ is continuous at θ. The function ρ defines a metrizable topology in E endowed with this topology is denoted by E ρ .

Example 2.2 p is a pre-modular special space of sequences for 0<p<, with ρ(x)= n = 0 | x n | p .

Example 2.3 ces p is a pre-modular special space of sequences for 1<p<, with ρ(x)= n = 0 ( 1 n + 1 k = 0 n | x n | ) p .

Definition 2.4

U E app := { U E app ( X , Y ) ; X , Y  are Banach spaces } ,

where

U E app (X,Y):= { T L ( X , Y ) : ( α n ( T ) ) n = 0 E } .

3 Main results

Theorem 3.1 U E app is an operator ideal if E is a special space of sequences (sss).

Proof To prove U E app is an operator ideal:

  1. (i)

    let AF(X,Y) and rank(A)=m for all mN, since E is a linear space and e n E for each nN, then ( α n ( A ) ) n = 0 =( α 0 (A), α 1 (A),, α m 1 (A),0,0,0,)= i = 0 m 1 α i (A) e i E; for that A U E app (X,Y), which implies F(X,Y) U E app (X,Y).

  2. (ii)

    Let T 1 , T 2 U E app (X,Y) and λ 1 , λ 2 R then from Definition 2.1 condition (3) we get ( α [ n 2 ] ( T 1 ) ) n = 0 E and ( α [ n 2 ] ( T 2 ) ) n = 0 E, since n2[ n 2 ], α n (T) is a decreasing sequence and from the definition of approximation numbers we get

    α n ( λ 1 T 1 + λ 2 T 2 ) α 2 [ n 2 ] ( λ 1 T 1 + λ 2 T 2 ) α [ n 2 ] ( λ 1 T 1 ) + α [ n 2 ] ( λ 2 T 2 ) | λ 1 | α [ n 2 ] ( T 1 ) + | λ 2 | α [ n 2 ] ( T 2 ) for each  n N .

Since E is a linear space and from Definition 2.1 condition (2) we get ( α n ( λ 1 T 1 + λ 2 T 2 ) ) n = 0 E, hence λ 1 T 1 + λ 2 T 2 U E app (X,Y).

  1. (iii)

    If VL( X 0 ,X), T U E app (X,Y) and RL(Y, Y 0 ), then we get ( α n ( T ) ) n = 0 E and since α n (RTV)R α n (T)V, from Definition 2.1 conditions (1) and (2) we get ( α n ( R T V ) ) n = 0 E, then RTV U E app ( X 0 , Y 0 ).

 □

Theorem 3.2 U M app is an operator ideal, if M is an Orlicz function satisfying Δ 2 -condition and there exists a constant l1 such that M(x+y)l(M(x)+M(y)).

Proof

(1-i) Let x,y M , since M is non-decreasing, we get n = 0 M(| x n + y n |)l[ n = 0 M(| x n |)+ n = 0 M(| y n |)]<, then x+y M .

(1-ii) λR, x M since M satisfies Δ 2 -condition, we get n = 0 M(|λ x n |)|λ|l n = 0 M(| x n |)<, for that λx M , then from (1-i) and (1-ii) M is a linear space over the field of numbers. Also e n M for each nN since i = 0 M(| e n (i)|)=M(1)<.

  1. (2)

    Let | x n || y n | for each nN, ( y n ) n = 0 M , since M is none decreasing, then we get n = 0 M(| x n |) n = 0 M(| y n |)<, then ( x n ) n = 0 M .

  2. (3)

    Let ( x n ) n = 0 M , n = 0 M(| x [ n 2 ] |)2 n = 0 M(| x n |)<, then ( x [ n 2 ] ) n = 0 M . Hence, from Theorem 3.1, it follows that U M app is an operator ideal.

 □

Theorem 3.3 U ces ( p n ) app is an operator ideal, if ( p n ) is an increasing sequence of positive real numbers, lim n sup p n < and lim n inf p n >1.

Proof

(1-i) Let x,yces( p n ) since

then x+yces( p n ).

(1-ii) Let λR, xces( p n ), then

n = 0 ( 1 n + 1 k = 0 n | λ x k | ) p n sup n |λ | p n n = 0 ( 1 n + 1 k = 0 n | x k | ) p n <,

we get λxces( p n ), from (1-i) and (1-ii) ces( p n ) is a linear space.

To show that e m ces( p n ) for each mN, since lim n inf p n >1 we have n = 0 ( 1 n + 1 ) p n <. Thus, we get

ρ( e m )= n = m ( 1 n + 1 k = 0 n | e m ( k ) | ) p n = n = m ( 1 n + 1 ) p n <.

Hence e m ces( p n ).

  1. (2)

    Let | x n || y n | for each nN, then

    n = 0 ( 1 n + 1 k = 0 n | λ x k | ) p n sup n |λ | p n n = 0 ( 1 n + 1 k = 0 n | y k | ) p n <,

since yces( p n ). Thus, xces( p n ).

  1. (3)

    Let ( x n )ces( p n ), then we have

Hence, ( x [ n 2 ] ) n = 0 ces( p n ). Hence, from Theorem 3.1 it follows that U ces ( p n ) app is an operator ideal.

 □

Theorem 3.4 Let M be an Orlicz function. Then the linear space F(X,Y) is dense in U M app (X,Y).

Proof Define ρ(x)= n = 0 M(| x n |) on M . First we prove that every finite mapping TF(X,Y) belongs to U M app (X,Y). Since e m M for each mN and M is a linear space then for every finite mapping TF(X,Y) the sequence ( α n ( T ) ) n = 0 contains only finitely many numbers different from zero. To prove that U M app (X,Y) F ( X , Y ) ¯ , let T U M app (X,Y), we get ( α n ( T ) ) n = 0 M , and since n = 0 M( α n (T))<, let ε]0,1] then there exists a natural number s>0 such that n = s M( α n (T))< ε 4 , since ρ is none decreasing and α n (T) is decreasing for each nN, we get

sM ( α 2 s ( T ) ) n = s + 1 2 s M ( α n ( T ) ) n = s M ( α n ( T ) ) < ε 4 ,

then there exists A F 2 s (X,Y), rank(A)2s with M(TA)< ε 4 s , and by using the conditions of M we get

d ( T , A ) = ρ ( α n ( T A ) ) n = 0 = n = 0 M ( α n ( T A ) ) = n = 0 3 s 1 M ( α n ( T A ) ) + n = 3 s M ( α n ( T A ) ) n = 0 3 s 1 M ( T A ) + n = 3 s M ( α n ( T A ) ) 3 s M ( T A ) + n = s M ( α n + 2 s ( T A ) ) 3 s M ( T A ) + n = s M ( α n ( T ) ) < ε .

 □

Corollary 3.5 If 0<p< and M(t)= t p , we get U p app (X,Y)= F ( X , Y ) ¯ . See [3].

Theorem 3.6 The linear space F(X,Y) is dense in U ces ( p n ) app (X,Y), if ( p n ) is an increasing sequence of positive real numbers with lim n sup p n < and lim n inf p n >1.

Proof First we prove that every finite mapping TF(X,Y) belongs to U ces ( p n ) app (X,Y). Since e m ces( p n ) for each mN and ces( p n ) is a linear space, then for every finite mapping TF(X,Y) i.e. the sequence ( α n ( T ) ) n = 0 contains only finitely many numbers different from zero. Now we prove that U ces ( p n ) app (X,Y) F ( X , Y ) ¯ . Since lim n inf p n >1, we have n = 0 ( 1 n + 1 ) p n <, let T U ces ( p n ) app (X,Y) we get ( α n ( T ) ) n = 0 ces( p n ), and since ρ( ( α n ( T ) ) n = 0 )<, let ε]0,1] then there exists a natural number s>0 such that ρ( ( α n ( T ) ) n = s )< ε 2 h + 3 δ c for some c1, where δ=max{1, n = s ( 1 n + 1 ) p n }, since α n (T) is decreasing for each nN, we get

n = s + 1 2 s ( 1 n + 1 k = 0 n α 2 s ( T ) ) p n n = s + 1 2 s ( 1 n + 1 k = 0 n α n ( T ) ) p n n = s ( 1 n + 1 k = 0 n α k ( T ) ) p n < ε 2 h + 3 δ c ,
(1)

then there exists A F 2 s (X,Y),

rank ( A ) 2 s with  n = 2 s + 1 3 s ( 1 n + 1 k = 0 n T A ) p n n = s + 1 2 s ( 1 n + 1 k = 0 n T A ) p n < ε 2 h + 3 δ c ,
(2)

and

sup n = s ( k = 0 s T A ) p n < ε 2 2 h + 2 δ ,
(3)

since α n (T)=inf{TA:AL(X,Y) and rank(A)n}. Then there exists a natural number N>0, A N with rank( A N )N and T A N 2 α N (T). Since α n (T) n 0, then T A N N 0, so we can take

n = 0 s ( 1 n + 1 k = 0 n T A ) p n < ε 2 h + 3 δ c ,
(4)

since ( p n ) is an increasing sequence and by using (1), (2), (3) and (4), we get

d ( T , A ) = ρ ( α n ( T A ) ) n = 0 = n = 0 3 s 1 ( 1 n + 1 k = 0 n α k ( T A ) ) p n + n = 3 s ( 1 n + 1 k = 0 n α k ( T A ) ) p n n = 0 3 s ( 1 n + 1 k = 0 n T A ) p n + n = s ( 1 n + 1 k = 0 n + 2 s α k ( T A ) ) p n + 2 s 3 n = 0 s ( 1 n + 1 k = 0 n T A ) p n + n = s ( 1 n + 1 k = 0 2 s 1 α k ( T A ) + 1 n + 1 k = 2 s n + 2 s α k ( T A ) ) p n 3 n = 0 s ( 1 n + 1 k = 0 n T A ) p n + 2 h 1 ( n = s ( 1 n + 1 k = 0 2 s 1 α k ( T A ) ) p n + n = s ( 1 n + 1 k = 2 s n + 2 s α k ( T A ) ) p n ) 3 n = 0 s ( 1 n + 1 k = 0 n T A ) p n + 2 h 1 ( n = s ( 1 n + 1 k = 0 2 s 1 T A ) p n + n = s ( 1 n + 1 k = 0 n α k + 2 s ( T A ) ) p n ) 3 n = 0 s ( 1 n + 1 k = 0 n T A ) p n + 2 2 h 1 ( sup n = s ( k = 0 s T A ) p n ) n = s ( 1 n + 1 ) p n + 2 h 1 n = s ( 1 n + 1 k = 0 n α k ( T ) ) p n < ε .

 □

Theorem 3.7 Let X be a normed space, Y a Banach space and E ρ be a pre modular special space of sequences (sss), then U E ρ app (X,Y) is complete.

Proof Let ( T m ) be a Cauchy sequence in U E ρ app (X,Y), then by using Definition 2.1 condition (vii) and since U E ρ app (X,Y)L(X,Y), we have

ρ ( ( α n ( T i T j ) ) n = 0 ) ρ ( α 0 ( T i T j ) , 0 , 0 , 0 , ) = ρ ( T i T j , 0 , 0 , 0 , ) ζ T i T j ρ ( 1 , 0 , 0 , 0 , ) ,

then ( T m ) is also Cauchy sequence in L(X,Y). Since the space L(X,Y) is a Banach space, then there exists TL(X,Y) such that T m T m 0 and since ( α n ( T m ) ) n = 0 E for all mN, ρ is continuous at θ and using Definition 2.1(iii), we have

ρ ( α n ( T ) ) n = 0 = ρ ( α n ( T T m + T m ) ) n = 0 k ρ ( α [ n 2 ] ( T m T ) ) n = 0 + k ρ ( α [ n 2 ] ( T m ) ) n = 0 k ρ ( ( T m T ) n = 0 ) + k ρ ( α n ( T m ) ) n = 0 < ε , for some  k 1 .

Hence ( α n ( T ) ) n = 0 E as such T U E ρ app (X,Y). □

Corollary 3.8 Let X be a normed space, Y a Banach space and M be an Orlicz function such that M satisfies Δ 2 -condition. Then M is continuous at θ=(0,0,0,) and U M app (X,Y) is complete.

Corollary 3.9 Let X be a normed space, Y a Banach space and ( p n ) be an increasing sequence of positive real numbers with lim n sup p n < and lim n inf p n >1, then U ces ( p n ) app (X,Y) is complete.