Skip to main content

Some properties of the sequence space

Abstract

In this paper we define the sequence space on a seminormed complex linear space by using an Orlicz function. We give various properties and some inclusion relations on this space.

MSC:40A05, 40C05, 40D05.

1 Introduction

Let and c denote the Banach spaces of real bounded and convergent sequences x=( x n ) normed by x= sup n | x n |, respectively.

Let σ be a one-to-one mapping of the set of positive integers into itself such that σ k (n)=σ( σ k 1 (n)), k=1,2, . A continuous linear functional φ on is said to be an invariant mean or a σ-mean if and only if

  1. (i)

    φ(x)0 when the sequence x=( x n ) has x n 0 for all n,

  2. (ii)

    φ(e)=1, where e=(1,1,1,) and

  3. (iii)

    φ({ x σ ( n ) })=φ({ x n }) for all x .

If σ is the translation mapping nn+1, a σ-mean is often called a Banach limit [1], and V σ , the set of σ-convergent sequences, that is, the set of bounded sequences all of whose invariant means are equal, is the set f ˆ of almost convergent sequences [2].

If x=( x n ), set Tx=(T x n )=( x σ ( n ) ). It can be shown (see Schaefer [3]) that

V σ = { x = ( x n ) : lim k t k n ( x ) = L e  uniformly in  n , L = σ lim x } ,
(1.1)

where

t k n (x)= 1 k + 1 j = 0 k T j x n .

The special case of (1.1), in which σ(n)=n+1, was given by Lorentz [2].

Subsequently invariant means were studied by Ahmad and Mursaleen [4], Mursaleen [5], Raimi [6] and many others.

We may remark here that the concept of almost bounded variation was introduced and investigated by Nanda and Nayak [7] as follows:

where

t m n (x)= 1 m ( m + 1 ) v = 1 m v( x n + v x n + v 1 ).

By a lacunary sequence θ= ( k r ) r = 0 , 1 , 2 , , where k 0 =0, we shall mean an increasing sequence of non-negative integers with k r k r 1 as r. The intervals determined by θ will be denoted by I r =( k r 1 , k r ], and we let h r = k r k r 1 . The ratio k r k r 1 will usually be denoted by q r (see [8]).

Karakaya and Savaş [9] defined the sequence spaces and as follows:

where

φ r , n (x)= 1 h r + 1 j = k r 1 + 1 x j + n 1 h r j = k r 1 + 1 k r x j + n ,r>1.

Straightforward calculation shows that

φ r , n (x)= 1 h r ( h r + 1 ) u = 1 h r u( x + k r 1 u + 1 + n x + k r 1 u + n )

and

φ r 1 , n (x)= 1 h r ( h r 1 ) u = 1 h r 1 ( x + k r 1 u + 1 + n x + k r 1 u + n ).

Note that for any sequences x, y and scalar λ, we have

φ r , n (x+y)= φ r , n (x)+ φ r , n (y)and φ r , n (λx)=λ φ r , n (x).

An Orlicz function is a function M:[0,)[0,), which is continuous, nondecreasing and convex with M(0)=0, M(x)>0 for x>0 and M(x) as x. (For details, see Krasnoselskii and Rutickii [10].)

It is well known that if M is a convex function and M(0)=0, then M(λx)λM(x) for all λ with 0<λ<1.

Lindenstrauss and Tzafriri [11] used the idea of Orlicz function to construct the sequence space

M = { x w : k = 1 M ( | x k | ρ ) <  for some  ρ > 0 } .

The space M is a Banach space with the norm

x=inf { ρ > 0 : k = 1 M ( | x k | ρ ) 1 } ,

and this space is called an Orlicz sequence space. For M(t)= t p , 1p<, the space M coincides with the classical sequence space p .

Definition 1.1 Any two Orlicz functions M 1 and M 2 are said to be equivalent if there are positive constants α and β, and x 0 such that M 1 (αx) M 2 (x) M 1 (βx) for all x with 0x x 0 (see Kamthan and Gupta [12]).

Later on, different types of sequence spaces were introduced by using an Orlicz function by Mursaleen et al. [13], Choudhary and Parashar [14], Tripathy and Mahanta [15] , Altinok et al. [16], Bhardwaj and Singh [17], Et et al. [18] and many others.

A sequence space E is said to be solid (or normal) if ( α k x k )E whenever ( x k )E for all sequences ( α k ) of scalars with | α k |1.

It is well known that a sequence space E is normal implies that E is monotone.

Definition 1.2 Let q 1 , q 2 be seminorms on a vector space X. Then q 1 is said to be stronger than q 2 if whenever ( x n ) is a sequence such that q 1 ( x n )0, then also q 2 ( x n )0. If each is stronger than the others, q 1 and q 2 are said to be equivalent (one may refer to Wilansky [19]).

Lemma 1.3 Let q 1 and q 2 be seminorms on a linear space X. Then q 1 is stronger than q 2 if and only if there exists a constant T such that q 2 (x)T q 1 (x) for all xX (see, for instance, Wilansky [19]).

Let p=( p r ) be a sequence of strictly positive real numbers, X be a seminormed space over the field of complex numbers with the seminorm q, M be an Orlicz function and s0 be a fixed real number. Then we define the sequence space as follows:

It is clear that q( φ r n ( x ) ρ )= q ( φ r n ( x ) ) ρ for any seminorm q and any ρ>0.

We get the following sequence spaces from B V θ (M,p,q,s) by choosing some of the special p, M and s:

For M(x)=x we get

for p k =1, for all rN, we get

for s=0 we get

for M(x)=x and s=0 we get

for p r =1, for all rN, and s=0 we get

for M(x)=x, p r =1, for all rN, and s=0 we have

B V θ (q)= { x = ( x k ) X : r = 1 q ( φ r n ( x ) ) < ,  uniformly in  n } .

The following inequalities will be used throughout the paper. Let p=( p r ) be a bounded sequence of strictly positive real numbers with 0< p r sup p r =H, D=max(1, 2 H 1 ), then

| a r + b r | p r D { | a r | p r + | b r | p r } ,
(1.2)

where a r , b r C.

2 Main results

In this section we prove the general results of this paper on the sequence space , those characterize the structure of this space.

Theorem 2.1 The sequence space is a linear space over the field of complex numbers.

Proof Omitted. □

Theorem 2.2 For any Orlicz function M and a bounded sequence p=( p r ) of strictly positive real numbers, is a paranormed space (not necessarily totally paranormed), paranormed by

g ( x ) = inf { ρ p r / H : ( r = 1 r s [ M ( q ( φ r n ( x ) ρ ) ) ] p k ) 1 H 1 , r = 1 , 2 , 3 , , n = 1 , 2 , 3 , } ,

where H=max(1,sup p r ).

Proof Clearly g(x)=g(x). By using Theorem 2.1 and then using Minkowski’s inequality, we get g(x+y)g(x)+g(y).

Since q( θ ¯ )=0 and M(0)=0, we get inf{ ρ p r / H }=0 for x=Θ, where Θ ¯ is the zero sequence of X.

Finally, we prove that scalar multiplication is continuous. Let λ be any numbers. By definition,

g ( λ x ) = inf { ρ p r / H : ( r r s [ M ( q ( λ φ r n ( x ) ρ ) ) ] p r ) 1 H 1 , r = 1 , 2 , 3 , , n = 1 , 2 , 3 , } .

Then

g ( λ x ) = inf { ( λ r ) p r / H : ( r = 1 r s [ M ( q ( φ r n ( x ) r ) ) ] p r ) 1 H 1 , r = 1 , 2 , 3 , , n = 1 , 2 , 3 , } ,

where r= ρ | λ | . Since |λ | p r max(1,|λ | H ), it follows that |λ | p r / H ( max ( 1 , | λ | H ) ) 1 H .

Hence

g ( λ x ) = ( max ( 1 , | λ | H ) ) 1 H inf { r p r / H : ( r = 1 r s [ M ( q ( φ r n ( x ) r ) ) ] p r ) 1 H 1 , r = 1 , 2 , 3 , , n = 1 , 2 , 3 , } ,

which converges to zero as g(x) converges to zero in . Now suppose that λ n 0 and x is in B V σ (M,p,q,s). For arbitrary ε>0, let N be a positive integer such that

r = N + 1 r s [ M ( q ( φ r n ( x ) ρ ) ) ] p r < ε 2

for some ρ>0, all n. This implies that

( r = N + 1 r s [ M ( q ( φ r n ( x ) ρ ) ) ] p r ) 1 H ε 2

for some ρ>0, r>N and all n.

Let 0<|λ|<1, using convexity of M and all n, we get

r = N + 1 r s [ M ( q ( λ φ r n ( x ) ρ ) ) ] p r < r = N + 1 r s [ | λ | M ( q ( φ r n ( x ) ρ ) ) ] p r < ( ε 2 ) H .

Since M is continuous everywhere in [0,), then

f(t)= r = 1 N r s [ M ( q ( t φ r n ( x ) ρ ) ) ]

is continuous at 0. So there is 1>δ>0 such that |f(t)|< ε 2 for 0<t<δ. Let K be such that | λ i |<δ for i>K, then for i>K, all n,

( r = 1 N r s [ M ( q ( λ i φ r n ( x ) ρ ) ) ] p r ) 1 H < ε 2 .

Thus

( r = 1 r s [ M ( q ( λ i φ r n ( x ) ρ ) ) ] p r ) 1 H <ε

for i>K and n, so that g(λx)0 (λ0). □

Theorem 2.3 Let M, M 1 , M 2 be Orlicz functions q, q 1 , q 2 seminorms and s, s 1 , s 2 0. Then

  1. (i)

    ,

  2. (ii)

    If s 1 s 2 then ,

  3. (iii)

    ,

  4. (iv)

    If q 1 is stronger than q 2 , then .

Proof Omitted □

Corollary 2.4 Let M be an Orlicz function, then we have

  1. (i)

    If q 1 (equivalent to) q 2 , then ,

  2. (ii)

    ,

  3. (iii)

    .

Theorem 2.5 Suppose that 0< m k t k < for each kN. Then .

Proof Let . Then there exists some ρ>0 such that

r = 1 [ M ( q ( φ r n ( x ) ρ ) ) ] m k <uniformly in n.

This implies that M(q( φ r n ( x ) ρ ))1 for sufficiently large values of k, say k k 0 for some fixed k 0 N. Since m k t k , for each kN we get

[ M ( q ( φ r n ( x ) ρ ) ) ] t k [ M ( q ( φ r n ( x ) ρ ) ) ] m k

for all k k 0 , and therefore

r = 1 [ M ( q ( φ r n ( x ) ρ ) ) ] t r r = 1 [ M ( q ( φ m ( x ) ρ ) ) ] m k .

Hence we have

r = 1 [ M ( q ( φ r n ( x ) ρ ) ) ] t r <,

so . This completes the proof. □

The following result is a consequence of the above result.

Corollary 2.6

  1. (i)

    If 0< p r 1 for each r, then ,

  2. (ii)

    If p r 1 for all r, then .

Theorem 2.7 Let M 1 and M 2 be any two of Orlicz functions. If M 1 and M 2 are equivalent, then .

Proof Proof follows from Definition 1.1. □

Theorem 2.8 The sequence space is solid.

Proof Let , i.e.,

r = 1 r s [ M ( q ( φ r n ( x ) ρ ) ) ] p r <.

Let ( α r ) be sequence of scalars such that | α r |1 for all rN. Then the result follows from the following inequality:

r = 1 r s [ M ( q ( α r φ r n ( x ) ρ ) ) ] p r r = 1 r s [ M ( q ( φ r n ( x ) ρ ) ) ] p r .

 □

Corollary 2.9 The sequence space is monotone.

References

  1. Banach S: Theorie des Operations Linearies. Subwncji Funduszu Narodowej, Warszawa; 1932.

    MATH  Google Scholar 

  2. Lorentz GG: A contribution the theory of divergent series. Acta Math. 1948, 80: 167–190. 10.1007/BF02393648

    Article  MathSciNet  MATH  Google Scholar 

  3. Schaefer P: Infinite matrices and invariant means. Proc. Am. Math. Soc. 1972, 36: 104–110. 10.1090/S0002-9939-1972-0306763-0

    Article  MathSciNet  MATH  Google Scholar 

  4. Ahmad ZU, Mursaleen M: An application of Banach limits. Proc. Am. Math. Soc. 1988, 103: 244–246. 10.1090/S0002-9939-1988-0938676-7

    Article  MathSciNet  MATH  Google Scholar 

  5. Mursaleen M: Matrix transformations between some new sequence spaces. Houst. J. Math. 1983, 9: 505–509.

    MathSciNet  MATH  Google Scholar 

  6. Raimi RA: Invariant means and invariant matrix method of summability. Duke Math. J. 1963, 30: 81–94. 10.1215/S0012-7094-63-03009-6

    Article  MathSciNet  MATH  Google Scholar 

  7. Nanda S, Nayak KC: Some new sequence spaces. Indian J. Pure Appl. Math. 1978, 9(8):836–846.

    MathSciNet  MATH  Google Scholar 

  8. Freedman AR, Sember JJ, Raphael M: Some Cesàro-type summability spaces. Proc. Lond. Math. Soc. 1978, 37(3):508–520.

    Article  MathSciNet  MATH  Google Scholar 

  9. Karakaya V, Savaş E: On almost p -bounded variation of lacunary sequences. Comput. Math. Appl. 2011, 61(6):1502–1506. 10.1016/j.camwa.2011.01.010

    Article  MathSciNet  MATH  Google Scholar 

  10. Krasnoselskii MA, Rutickii YB: Convex Functions and Orlicz Spaces. Noordhoff, Groningen; 1961.

    Google Scholar 

  11. Lindenstrauss J, Tzafriri L: On Orlicz sequence spaces. Isr. J. Math. 1971, 10: 379–390. 10.1007/BF02771656

    Article  MathSciNet  MATH  Google Scholar 

  12. Kamthan PK, Gupta M Lecture Notes in Pure and Applied Mathematics 65. In Sequence Spaces and Series. Dekker, New York; 1981.

    Google Scholar 

  13. Mursaleen M, Khan QA, Chishti TA: Some new convergent sequences defined by Orlicz functions and statistical convergence. Ital. J. Pure Appl. Math. 2001, 9: 25–32.

    MathSciNet  MATH  Google Scholar 

  14. Choudhary B, Parashar SD: A sequence space defined by Orlicz functions. J. Approx. Theory Appl. 2002, 18(4):70–75.

    MathSciNet  MATH  Google Scholar 

  15. Tripathy BC, Mahanta S:On a class of sequences related to the p spaces defined by Orlicz function. Soochow J. Math. 2003, 29(4):379–391.

    MathSciNet  MATH  Google Scholar 

  16. Altinok H, Altin Y, Işik M:The sequence space B V σ (M,p,q,s) on seminormed spaces. Indian J. Pure Appl. Math. 2008, 39(1):49–58.

    MathSciNet  MATH  Google Scholar 

  17. Bhardwaj VK, Singh N: On some new spaces of lacunary strongly σ -convergent sequences defined by Orlicz functions. Indian J. Pure Appl. Math. 2000, 31(11):1515–1526.

    MathSciNet  MATH  Google Scholar 

  18. Et M, Altin Y, Choudhary B, Tripathy BC: On some classes of sequences defined by sequences of Orlicz functions. Math. Inequal. Appl. 2006, 9(2):335–342.

    MathSciNet  MATH  Google Scholar 

  19. Wilansky A: Functional Analysis. Blaisdell Publishing Company, New York; 1964.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yavuz Altin.

Additional information

Competing interests

The authors declare that they have no competing interest.

Authors’ contributions

MI, YA and ME have contributed to all parts of the article. All authors read and approved the final manuscript.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Işik, M., Altin, Y. & Et, M. Some properties of the sequence space . J Inequal Appl 2013, 305 (2013). https://doi.org/10.1186/1029-242X-2013-305

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1029-242X-2013-305

Keywords