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Some generalized difference statistically convergent sequence spaces in 2-normed space
Journal of Inequalities and Applications volume 2013, Article number: 177 (2013)
Abstract
In this paper, we define a new generalized difference matrix and introduce some -difference statistically convergent sequence spaces in a real linear 2-normed space. We also investigate some topological properties of these spaces.
MSC:40A05, 46A45, 46E30.
1 Introduction
We shall write w for the set of all real sequences . Let c, , , , , m and denote the sets of all convergent, null, statistically convergent, statistically null, bounded, bounded statistically convergent and bounded statistically null sequences, respectively. The difference sequence spaces , and were first defined by Kızmaz in [1]. The idea of difference sequences is generalized by Et and Çolak [2] as
for , where and for all , the difference operator is equivalent to the following binomial representation:
Et and Başarır [3] generalized these spaces to , where are Maddox’s sequence spaces. Tripathy and Esi [4], who studied the spaces , and , gave a new type of generalization of the difference sequence spaces, where . Tripathy et al. [5] generalized this notion as follows:
where and for all , which is equivalent to the following binomial representation:
The difference sequence spaces have been studied by several authors, [3, 6–25].
The concept of 2-normed spaces has been initially introduced by Gähler in the 1960s [26], as an interesting non-linear generalization of a normed linear space, which has been subsequently studied by many authors [27–29]. Since then, a lot of activities have been started to study summability, sequence spaces and related topics on 2-normed spaces [30–33]. Recently, some difference sequence spaces have been introduced in 2-normed spaces by several authors [30, 31, 34].
Dutta [34] introduced the sequence spaces , , , and , where and , and for all , which is equivalent to the following binomial representation:
In [35], Başar and Altay introduced the generalized difference matrix which is a generalization of -difference operator as follows:
for all , . Recently, Başarır and Kayıkçı [36] have defined the generalized difference matrix of order n, which reduced the difference operator in case , and the binomial representation of this operator is
where and .
Thus, for any sequence space Z, the space is more general and more comprehensive than the corresponding consequences of the space . For details, one may refer to [6, 15, 35–40].
The idea of statistical convergence was given by Zygmund [41] in 1935. The concept of statistical convergence was introduced by Fast [42] and Schoenberg [43], independently for the real sequences. Later on, it was further investigated from sequence point of view and linked with the summability theory by Fridy [44] and generalized to the concept of 2-normed space by Gürdal and Pehlivan [45]. The idea is based on the notion of natural density of subsets of ℕ, the set of positive integers, which is defined as follows: the natural density of a subset E of ℕ is denoted by
where the vertical bar denotes the cardinality of the enclosed set.
2 Definitions and preliminaries
A sequence space E is said to be solid (or normal) if implies for all sequences of scalars with for all .
A linear topological space X over the real field R is said to be a paranormed space if there is a sub-additive function such that , , and scalar multiplication is continuous, i.e. and imply that for all λ’s in ℝ and all x’s in X, where θ is the zero vector in the linear space X.
The following inequality will be used throughout the paper:
Let be a positive sequence of real numbers with , and . Then for all for all , we have
and for .
A 2-norm on a vector space X of d dimension, where , is a function , which satisfies the following conditions:
-
(1)
if and only if , are linearly dependent,
-
(2)
,
-
(3)
for any ,
-
(4)
.
The pair is then called a 2-normed space. For example, standard and Euclidean 2-norms on are respectively given by
and
where stands for the inner product on X [27].
Now we will give the following known example for 2-normed spaces.
Example 2.1 Consider the space Z for , c and . Let us define:
where and . Then is a 2-norm on Z.
A sequence in a 2-normed space is said to be convergent to some in the 2-norm if
A sequence in a 2-normed space is said to be Cauchy sequence with respect to the 2-norm if
If every Cauchy sequence in X converges to some , then X is said to be complete with respect to the 2-norm. Any complete 2-normed space is said to be a 2-Banach space [29].
Let recall that a sequence is said to be statistically convergent to L if for every the set has natural density zero for each nonzero z in X, in other words statistically converges to L in 2-normed space if
for each nonzero z in X. For , we say this is statistically null [45].
Firstly, we give the following lemma, which we need to establish our main results.
Lemma 2.2 [34]
Every closed linear subspace F of an arbitrary linear normed space E, different from E, is a nowhere dense set in E.
Throughout the paper , , , , , , and denote the spaces of all, convergent, null, statistically convergent, statistically null, bounded, bounded statistically convergent and bounded statistically null X valued sequence spaces, where is a real 2-normed space. By , we mean the zero element of X.
3 Main results
In this section, we define the generalized difference matrix and introduce difference sequence spaces , , , , , , , , which are defined on a real linear 2-normed space. We investigate some topological properties of the spaces , , and including linearity, existence of paranorm and solidity. Further, we show that the sequence spaces and are complete paranormed spaces when the base space is a 2-Banach space. Moreover, we give some inclusion relations.
By the notation , we will mean that is statistically convergent to zero, throughout the paper. Let m, n be non-negative integers and be a sequence of strictly positive real numbers. Then we define new sequence spaces as follows:
and
where and for all , which is equivalent to the binomial representation as follows:
In this representation, we obtain the matrix defined in [36] for and in [35] for .
-
(1)
If we take then the above sequence spaces are reduced to , , , , , , and , respectively.
-
(2)
If we take , , then the sequence spaces , , , , , are reduced to , , , , and , respectively, which are studied in [34].
-
(3)
By taking for all , then these sequence spaces are denoted by , , , , , , and , respectively.
-
(4)
If we replace the base space X, which is a real linear 2-normed space by ℂ, complete normed linear space, and take and take , , then the above sequence spaces are denoted by , , , , , , and , respectively.
-
(5)
If we take , , for all , then these sequence spaces are denoted by , , , , , , and , respectively.
-
(6)
If we replace the base space X, which is a real linear 2-normed space by ℂ, we obtain the spaces , , , , , , and , respectively.
-
(7)
Moreover, if we take , and for all , we get the spaces , , , c, , W, m and , respectively.
Theorem 3.1 Let be a sequence of strictly positive real numbers. Then the sequence spaces are linear spaces where .
Proof The proof of the theorem can be obtained by similar techniques in [34]. □
Theorem 3.2 For any two sequences and of positive real numbers and for any two 2-norms and on X we have , where .
Proof The proof follows from the fact that the zero element belongs to each of the sequence spaces involved in the intersection. □
Theorem 3.3 Let be a 2-Banach space. Then the spaces , are complete paranormed sequence spaces, paranormed by
where and , .
Proof We will prove the theorem for the sequence space . It can be proved for the space similarly.
Clearly and . From the following inequality, we have
This implies that .
To prove the continuity of scalar multiplication, assume that be any sequence of the points in such that and be any sequence of scalars such that . Since the inequality
holds by subadditivity of g, is bounded. Thus, we have
which tends to zero as . Hence, g is a paranorm on the sequence space .
To prove that is complete, assume that is a Cauchy sequence in . Then for a given ε (), there exists a positive integer such that , for all . This implies that
for all . It follows that for every nonzero ,
for each and for all . Hence is a Cauchy sequence in X for all . Since X is a 2-Banach space, is convergent in X for all , so we write as . Now we have for all ,
for all . It follows that . Since and is a linear space, so we have . This completes the proof. □
Theorem 3.4
-
(1)
If , then and the inclusion is strict, where .
-
(2)
If , then and the inclusion is strict, where .
Proof The parts of proof and are easy. To show the inclusions are strict, choose , , and consider the 2-norm as defined in (2.1), let for all , , , , , then but . If we choose , and for all , , , , , then but . These complete the proofs of parts (1) and (2) of the theorem, respectively. □
Theorem 3.5
-
(1)
and the inclusion is strict.
-
(2)
and the inclusion is strict.
-
(3)
and overlap but neither one contains the other.
Proof
-
(1)
It is clear that . To show that the inclusion is strict, choose the sequence such that,
(3.2)
where , and consider the 2-norm as defined in (2.1). Then we obtain , but . That is, , but .
-
(2)
It is easy to see that . To show that the inclusion is strict, let us take and consider the 2-norm as defined in (2.1), , , , , then but .
-
(3)
Since the sequence belongs to each of the sequence spaces, the overlapping part of the proof is obvious. For the other part of the proof, consider the sequence defined by (3.2) and the 2-norm as defined in (2.1). Then , but . Conversely if we choose where for all , then but . That is, but .
□
Theorem 3.6 The space is not solid in general, where .
Proof To show that the space is not solid in general, consider the following examples. □
Example 3.7 Let , , , and consider the 2-normed space as defined in Example 2.1. Let for all . Consider the sequence , where is defined by for each fixed . Then for . Let , then for . Thus for is not solid in general.
Example 3.8 Let , , , and consider the 2-normed space as defined in Example 2.1. Let for all odd k and for all even k. Consider the sequence , where is defined by for each fixed . Then for . Let , then for . Thus for is not solid in general.
Theorem 3.9 The spaces and are nowhere dense subsets of .
Proof From Theorem 3.3, it follows that and are closed subspaces of . Since the inclusion relations
are strict, the spaces and are nowhere dense subsets of by Lemma 2.2. □
Theorem 3.10 Let be a sequence of non-negative bounded real numbers such that . Then
Proof Let . Then for a given , we have
If we take the limit for , it follows that from the inequality above. Since , we have the result. □
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Acknowledgements
Dedicated to Professor Hari M Srivastava.
The authors would like to thank the anonymous reviewers for their comments and suggestions to improve the quality of the paper.
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Başarır, M., Konca, Ş. & Kara, E.E. Some generalized difference statistically convergent sequence spaces in 2-normed space. J Inequal Appl 2013, 177 (2013). https://doi.org/10.1186/1029-242X-2013-177
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DOI: https://doi.org/10.1186/1029-242X-2013-177
Keywords
- statistical convergence
- generalized difference sequence space
- 2-norm
- paranorm
- completeness
- solidity