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Abstract
In this article, we introduce and study I-convergent sequence spaces ,
, and
with the help of compact operator T on the real space
and a modulus function f. We study some topological and algebraic properties, and prove some inclusion relations on these spaces.
Public Interest Statement
The term sequence has a great role in Analysis. Sequence spaces play an important role in various fields of Real Analysis, Complex Analysis, Functional Analysis, and Topology Convergence of sequences has always remained a subject of interest to the researchers. Several new types of convergence of sequences were studied by the researchers and named them as usual convergence, uniform convergence, strong convergence,week convergence, etc. Later, the idea of statistical convergence came into existence which is the generalization of usual convergence. Statistical convergence has several applications in different fields of Mathematics like Number Theory, Trigonometric Series, Summability Theory, Probability Theory, Measure Theory, Optimization, and Approximation Theory. The notion of Ideal convergence (I-convergence) is a generalization of the statistical convergence and equally considered by the researchers for their research purposes since its inception
1. Introduction and preliminaries
Let ,
, and
be the sets of all natural, real, and complex numbers, respectively. We denote
the space of all real or complex sequences.
Let ,
, and
be denote the Banach spaces of bounded, convergent, and null sequences of reals, respectively with norm
Any subspace of
is called a sequence space. A sequence space
with linear topology is called a K-space provided each of maps
defined by
is continuous, for all
. A space
is called an FK-space provided
is complete linear metric space. An FK-space whose topology is normable is called a BK-space.
Definition 1.1
Let and
be two normed linear spaces and
be a linear operator, where
. Then, the operator
is said to be bounded, if there exists a positive real
such that
The set of all bounded linear operators is a normed linear space normed by (see Kreyszig, Citation1978)
and is a Banach space if
is Banach space.
Definition 1.2
Let and
be two normed linear spaces. An operator
is said to be a compact linear operator (or completely continuous linear operator), if
(1) |
| ||||
(2) |
|
Following Basar and Altay (Citation2003) and Sengönül (Citation2009), we introduce the sequence spaces and
with the help of compact operator
on the real space
as follows.
and
Definition 1.3
A function is called a modulus if
(1) |
| ||||
(2) |
| ||||
(3) |
| ||||
(4) |
|
and
A modulus function is said to satisfy
for all values of u if there exists a constant
such that
for all values of
.
The idea of modulus was introduced by Nakano (Citation1953).
Ruckle (Citation1967, Citation1968, Citation1973) used the idea of a modulus function to construct the sequence space
This space is an -space and Ruckle (Citation1967, Citation1968, Citation1973) proved that the intersection of all such
spaces is
, the space of all finite sequences.
The space is closely related to the space
which is an
space with
for all real
. Thus Ruckle (Citation1967, Citation1968, Citation1973) proved that, for any modulus
.
where
Spaces of the type are a special case of the spaces structured by Gramsch (Citation1967). From the point of view of local convexity, spaces of the type
are quite pathological. Symmetric sequence spaces, which are locally convex have been frequently studied by Garling (Citation1966), Köthe (Citation1970), and Ruckle (Citation1967, Citation1968, Citation1973).
The sequence spaces by the use of modulus function was further investigated by Maddox (Citation1969, Citation1986), Khan (Citation2005, Citation2006), Bhardwaj (Citation2003), and many others.
As a generalization of usual convergence, the concept of statistical convergent was first introduced by Fast (Citation1951) and also independently by Buck (Citation1953) and Schoenberg (Citation1959) for real and complex sequences. Later on, it was further investigated from sequence space point of view and linked with the Summability Theory by Fridy (Citation1985), Šalát (Citation1980), Tripathy (Citation1998), Khan (Citation2007), Khan and Sabiha (Citation2012), Khan, Shafiq, and Rababah (Citation2015), and many others.
Definition 1.4
A sequence is said to be statistically convergent to a limit
if for every
, we have
where vertical lines denote the cardinality of the enclosed set. That is, if , where
The notation of ideal convergence (I-convergence) was introduced and studied by Kostyrko, Mačaj, Salǎt, and Wilczyński (Citation2000). Later on, it was studied by Šalát, Tripathy, and Ziman (Citation2004, Citation2005), Tripathy and Hazarika (Citation2009, Citation2011), Khan and Ebadullah (Citation2011), Khan, Ebadullah, Esi, and Shafiq (Citation2013), and many others.
Now, we recall the following definitions:
Definition 1.5
Let be a non-empty set. Then a family of sets
(power set of
) is said to be an ideal if
(1) |
| ||||
(2) |
|
Definition 1.6
A non-empty family of sets is said to be filter on
if and only if
(1) |
| ||||
(2) |
| ||||
(3) |
|
Definition 1.7
An Ideal is called non-trivial if
.
Definition 1.8
A non-trivial ideal is called admissible if
Definition 1.9
A non-trivial ideal is maximal if there cannot exist any non-trivial ideal
containing
as a subset.
Remark 1.10
For each ideal , there is a filter
corresponding to
. i.e
=
, where
.
Definition 1.11
A sequence is said to be
-convergent to a number
if for every
, the set
In this case, we write
.
Definition 1.12
A sequence is said to be
-null if
In this case, we write
.
Definition 1.13
A sequence is said to be
-Cauchy if for every
there exists a number
such that
.
Definition 1.14
A sequence is said to be
-bounded if there exists some
such that
Definition 1.15
A sequence space is said to be solid (normal) if
whenever
and for any sequence
of scalars with
, for all
Definition 1.16
A sequence space is said to be symmetric if
whenever
where
is a permutation on
.
Definition 1.17
A sequence space is said to be sequence algebra if
whenever
.
Definition 1.18
A sequence space is said to be convergence free if
whenever
and
implies
, for all
.
Definition 1.19
Let and
be a Sequence space. A
-step space of
is a sequence space
.
Definition 1.20
A canonical pre-image of a sequence is a sequence
defined by
A canonical preimage of a step space is a set of preimages all elements in
. i.e.
is in the canonical preimage of
iff
is the canonical preimage of some
Definition 1.21
A sequence space is said to be monotone if it contains the canonical preimages of its step space.
Definition 1.22
(see, Khan et al., Citation2015; Kostyrko et al., Citation2000). If , the class of all finite subsets of
. Then,
is an admissible ideal in
and
convergence coincides with the usual convergence.
Definition 1.23
(see, Khan et al., Citation2015; Kostyrko et al., Citation2000). If . Then,
is an admissible ideal in
and we call the
-convergence as the logarithmic statistical convergence.
Definition 1.24
(see, Khan et al., Citation2015; Kostyrko et al., Citation2000). If . Then,
is an admissible ideal in
and we call the
-convergence as the asymptotic statistical convergence.
Remark 1.25
If , then
Definition 1.26
A map defined on a domain
i.e
is said to satisfy Lipschitz condition if
where
is known as the Lipschitz constant. The class of
-Lipschitz functions defined on
is denoted by
Definition 1.27
A convergence field of -covergence is a set
The convergence field is a closed linear subspace of
with respect to the supremum norm,
(see Šalát et al., Citation2004, Citation2005).
Definition 1.28
Let be a linear space. A function
is called paranorm, if for all
If
is a sequence of scalars with
and
with
in the sense that
, then
The notation of paranorm sequence spaces was studied at the initial stage by Nakano (Citation1953). Later on, it was further investigated by Maddox (Citation1969), Tripathy and Hazarika (Citation2009), Khan et al. (Citation2013), and the references therein.
Throughout the article, we use the same techniques as used in Tripathy and Hazarika (Citation2009, Citation2011).
We used the following lemmas for establishing some results of this article.
Lemma 1
(see, Tripathy & Hazarika, Citation2009, Citation2011) Every solid space is monotone.
Lemma 2
(see, Tripathy & Hazarika, Citation2009, Citation2011) If and
. If
, then
.
Lemma 3
(see, Tripathy & Hazarika, Citation2009, Citation2011) Let and
. If
, then
.
Throughout the article, ,
,
,
, and
represent the
-convergent,
-null,
-Bounded , bounded
-convergent, and bounded
-null Sequences spaces defined by a compact operator
on the real space
, respectively.
2. Main results
In this article, we introduce the following classes of sequences.(3.1)
(3.1)
(3.2)
(3.2)
(3.3)
(3.3)
(3.4)
(3.4)
where is a modulus function. We also denote
Theorem 2.1
Let be a modulus function. Then, the classes of sequences
,
,
, and
are linear spaces.
Proof
We shall prove the result for . The proof for the other spaces will follow similarly.
For, let and
be scalars. Then, for a given
, we have
(3.5)
(3.5)
(3.6)
(3.6)
Let(3.7)
(3.7)
(3.8)
(3.8)
be such that .
Since is a modulus function, we have
Therefore,(3.9)
(3.9)
implies that Thus,
Therefore,
, for all scalars
, and
. Hence,
is a linear space.
Theorem 2.2
The classes of sequences and
are paranormed spaces, paranormed by
Proof
Let
It is clear that
if
, a zero vector.
is obvious.
For
we have
Therefore,
Let
be a sequence of scalars with
and
such that
in the sense that
Then, since the inequality
holds by subadditivity of
, the sequence
is bounded.
as That is to say that scalar multiplication is continuous. Hence,
is a paranormed space. For
, the result is similar.
Theorem 2.3
A sequence I-converges if and only if for every
, there exists
such that
(3.10)
(3.10)
Proof
Let
Suppose that . Then, the set
Fix an Then we have,
which holds for all . Hence
Conversely, suppose that
That is for all
.
Then, the set
Let . If we fix an
then we have
as well as
Hence
This implies that
That is
That is
where the diam of denotes the length of interval
. In this way, by induction, we get the sequence of closed intervals
with the property that for (
) and
for (
). Then, there exists a
where
such that
showing that
is I-convergent. Hence the result.
Theorem 2.4
Let and
be two modulus functions and satisfying
, then
(a) | |||||
(b) |
|
Proof
(a) | Let | ||||
(b) | Let |
For and
,
, we have the following corollary.
Corollary 2.5
for
=
,
,
and
Theorem 2.6
For any modulus function , the spaces
and
are solid and monotone.
Proof
we prove the result for the space . For
, the proof can be obtained similarly. For, let
be any arbitrary element. Then, the set
(3.16)
(3.16)
Let be a sequence of scalars such that
Then the result follows from Equation 2.16 and the following inequality.
That the space is monotone follows from the Lemma (I). Hence
is solid and monotone.
Theorem 2.7
The spaces and
are not neither solid nor monotone.
Proof
Here we give a counter example for the proof of this result.
Counter example. Let and
for all
Consider the K-step
of
defined as follows.
Let and let
be such that
Consider the sequence defined as by
for all
. Then
and
but its
-step preimage does not belong to
and
Thus,
and
are not monotone. Hence,
and
are not solid by Lemma(I).
Theorem 2.8
If and
be two sequences with
. Then, the spaces
and
are sequence algebra.
Proof
Let and
be two elements of
with
. Then, the sets
(3.17)
(3.17)
and(3.18)
(3.18)
Therefore,
Thus, Hence,
is sequence algebra. For
, the result can be proved similarly.
Theorem 2.9
Let be a modulus function.
Then,
Proof
The inclusion is obvious.
Next, let . Then there exists some
such that
We have
Taking supremum over on both sides, we get
Hence,
Theorem 2.10
If for all
. Then, the function
defined by
, where
is a Lipschitz function and hence uniformly continuous.
Proof
Clearly, the function is well defined. Let
Then, the sets
where
Thus, the sets
Hence, , so that
Now, taking
, we have
Therefore, is Lipschitz function and hence uniformly continuous.
Theorem 2.11
If for all
and if
with
. Then
and
where
is defined by
.
Proof
For , the sets
(3.19)
(3.19)
(3.20)
(3.20)
where
Now,(3.21)
(3.21)
As , there exists an
such that
and
.
Therefore, from Equations 2.19–2.21, we have
for all .
Hence and
.
Acknowledgements
The authors would like to record their gratitude to the reviewer for his careful reading and making some useful corrections which improved the presentation of the paper.
Additional information
Funding
Notes on contributors
Vakeel A. Khan
Vakeel A. Khan received his MPhil and PhD degrees in Mathematics from Aligarh Muslim University, Aligarh, India. Currently, he is a senior assistant professor in the same university. He is a vigorous researcher in the area of Sequence Spaces , and has published a number of research papers in reputed national and international journals, including Numerical Functional Analysis and Optimization (Taylor?s and Francis), Information Sciences (Elsevier), Applied Mathematics A Journal of Chinese Universities and Springer-Verlag (China), Rendiconti del Circolo Matematico di Palermo Springer-Verlag (Italy), Studia Mathematica (Poland), Filomat (Serbia), Applied Mathematics & Information Sciences (USA).
Mohd Shafiq
Mohd Shafiq did his MSc in Mathematics from University of Jammu, Jammu and Kashmir, India. Currently, he is a PhD scholar at Aligarh Muslim University, Aligarh, India. His research interests are Functional Analysis, sequence spaces, I-convergence, invariant means, zweier sequences, and interval numbers theory.
Rami Kamel Ahmad Rababah
Rami Kamel Ahmad Rababah is a research scholar in the Department of Mathematics, Aligarh Muslim University, Aligarh, India.
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