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Some properties of the sequence space ![](//media.springernature.com/full/springer-static/image/art%3A10.1186%2F1029-242X-2013-305/MediaObjects/13660_2013_Article_746_IEq1_HTML.gif)
Journal of Inequalities and Applications volume 2013, Article number: 305 (2013)
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 normed by , respectively.
Let σ be a one-to-one mapping of the set of positive integers into itself such that , . A continuous linear functional φ on is said to be an invariant mean or a σ-mean if and only if
-
(i)
when the sequence has for all n,
-
(ii)
, where and
-
(iii)
for all .
If σ is the translation mapping , a σ-mean is often called a Banach limit [1], and , the set of σ-convergent sequences, that is, the set of bounded sequences all of whose invariant means are equal, is the set of almost convergent sequences [2].
If , set . It can be shown (see Schaefer [3]) that
where
The special case of (1.1), in which , 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:
![](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2F1029-242X-2013-305/MediaObjects/13660_2013_Article_746_Equb_HTML.gif)
where
By a lacunary sequence , where , we shall mean an increasing sequence of non-negative integers with as . The intervals determined by θ will be denoted by , and we let . The ratio will usually be denoted by (see [8]).
Karakaya and Savaş [9] defined the sequence spaces and
as follows:
![](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2F1029-242X-2013-305/MediaObjects/13660_2013_Article_746_Equd_HTML.gif)
where
Straightforward calculation shows that
and
Note that for any sequences x, y and scalar λ, we have
An Orlicz function is a function , which is continuous, nondecreasing and convex with , for and as . (For details, see Krasnoselskii and Rutickii [10].)
It is well known that if M is a convex function and , then for all λ with .
Lindenstrauss and Tzafriri [11] used the idea of Orlicz function to construct the sequence space
The space is a Banach space with the norm
and this space is called an Orlicz sequence space. For , , the space coincides with the classical sequence space .
Definition 1.1 Any two Orlicz functions and are said to be equivalent if there are positive constants α and β, and such that for all x with (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 whenever for all sequences of scalars with .
It is well known that a sequence space E is normal implies that E is monotone.
Definition 1.2 Let , be seminorms on a vector space X. Then is said to be stronger than if whenever is a sequence such that , then also . If each is stronger than the others, and are said to be equivalent (one may refer to Wilansky [19]).
Lemma 1.3 Let and be seminorms on a linear space X. Then is stronger than if and only if there exists a constant T such that for all (see, for instance, Wilansky [19]).
Let be a sequence of strictly positive real numbers, X be a seminormed space over the field ℂ of complex numbers with the seminorm q, M be an Orlicz function and be a fixed real number. Then we define the sequence space as follows:
![](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2F1029-242X-2013-305/MediaObjects/13660_2013_Article_746_Equk_HTML.gif)
It is clear that for any seminorm q and any .
We get the following sequence spaces from by choosing some of the special p, M and s:
For we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2F1029-242X-2013-305/MediaObjects/13660_2013_Article_746_Equl_HTML.gif)
for , for all , we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2F1029-242X-2013-305/MediaObjects/13660_2013_Article_746_Equm_HTML.gif)
for we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2F1029-242X-2013-305/MediaObjects/13660_2013_Article_746_Equn_HTML.gif)
for and we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2F1029-242X-2013-305/MediaObjects/13660_2013_Article_746_Equo_HTML.gif)
for , for all , and we get
![](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2F1029-242X-2013-305/MediaObjects/13660_2013_Article_746_Equp_HTML.gif)
for , , for all , and we have
The following inequalities will be used throughout the paper. Let be a bounded sequence of strictly positive real numbers with , , then
where .
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 ℂ of complex numbers.
Proof Omitted. □
Theorem 2.2 For any Orlicz function M and a bounded sequence of strictly positive real numbers, is a paranormed space (not necessarily totally paranormed), paranormed by
where .
Proof Clearly . By using Theorem 2.1 and then using Minkowski’s inequality, we get .
Since and , we get for , where is the zero sequence of X.
Finally, we prove that scalar multiplication is continuous. Let λ be any numbers. By definition,
Then
where . Since , it follows that .
Hence
which converges to zero as converges to zero in . Now suppose that and x is in . For arbitrary , let N be a positive integer such that
for some , all n. This implies that
for some , and all n.
Let , using convexity of M and all n, we get
Since M is continuous everywhere in , then
is continuous at 0. So there is such that for . Let K be such that for , then for , all n,
Thus
for and n, so that (). □
Theorem 2.3 Let M, , be Orlicz functions q, , seminorms and . Then
-
(i)
,
-
(ii)
If then
,
-
(iii)
,
-
(iv)
If is stronger than , then
.
Proof Omitted □
Corollary 2.4 Let M be an Orlicz function, then we have
-
(i)
If (equivalent to) , then
,
-
(ii)
,
-
(iii)
.
Theorem 2.5 Suppose that for each . Then .
Proof Let . Then there exists some such that
This implies that for sufficiently large values of k, say for some fixed . Since , for each we get
for all , and therefore
Hence we have
so . This completes the proof. □
The following result is a consequence of the above result.
Corollary 2.6
-
(i)
If for each r, then
,
-
(ii)
If for all r, then
.
Theorem 2.7 Let and be any two of Orlicz functions. If and are equivalent, then .
Proof Proof follows from Definition 1.1. □
Theorem 2.8 The sequence space is solid.
Proof Let , i.e.,
Let be sequence of scalars such that for all . Then the result follows from the following inequality:
□
Corollary 2.9 The sequence space is monotone.
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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
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DOI: https://doi.org/10.1186/1029-242X-2013-305