Abstract
The sequence spaces and are introduced by using the q-difference operator of the second order. Apart from studying some basic properties of these spaces, we construct the basis and obtain the -, - and -duals of these spaces. Besides some matrix classes involving q-difference sequence spaces, and are characterized. The final section is devoted to classifying the spectrum of the q-difference operator over the space of absolutely summable sequences.
1. Introduction and Preliminaries
A linear subspace of , i.e., the set of all real- or complex-valued sequences, is known as a sequence space. The sets and are standard notations for the sequence spaces of absolutely p-summable sequences, bounded sequences, convergent sequences, null sequences, bounded series, and convergent series, respectively. A -space is a Banach space possessing continuous coordinates. The fact that and are -spaces normed by and respectively, are well known. It follows from the choice of that is a complete p-normed space due to p-norm For simplicity, we utilize the notations and in place of and sup over (the set of natural numbers).
Let and the notation mean the row of an infinite matrix of real (or complex) entries. Let then, its H-transform denoted by be given by the sequence defined by given that the infinite sum converges for each . We take the convention that the matrix if for all . The domain of the matrix H in is defined by the set , which is also a sequence space. Additionally, H is known as a triangle if and for all . Moreover, when is a -space and H is a triangle, then is also a -space normed by . Thus, by using this technique, several authors have constructed new sequence spaces that are generated from special matrices. We refer to the monograph [1] wherein the author described various aspects of summability, including the construction of -spaces as domains of some special matrices.
1.1. Difference Sequence Spaces
The forward difference operator and the backward difference operator ∇ are, respectively, defined by and for all These operators play a significant role in the field of theory of sequence spaces and summability. For instance, the sequence is divergent, but the sequence is convergent. Kızmaz introduced the difference sequence spaces and
The operators and ∇ were later generalized to the forward and the backward difference operators of the second order and respectively, defined by and (cf. [2,3]). Since then, several generalizations of the difference operators and ∇ were contributed in the literature. The few of the celebrated generalized difference operators are [4,5], [6], [7], [8], [9] and [10] defined by
respectively. One may also refer to these papers [9,11,12,13,14,15] for the relevant studies.
1.2. q-Analog
The theory of the q-analog plays a significant role in various fields of mathematical, physical and engineering sciences. Due to its vast applications in diverse field of mathematics, several studies related to q-calculus can be traced in the literature. Initially, Jackson [16] gave the application of q-calculus while introducing q-analog of classical derivative and integral operators. Since then, studies on q-analogs of well-known mathematical notions have taken a rapid pace, and studies involving q-analogs of hypergeometric functions, algebras, approximation theory, combinatorics, difference and integral equations, etc., have been researched.
Throughout this article, we assume that The following notions and definitions are very familiar in the field of q-calculus.
The q-number (cf. [17]) is defined by
One may notice that, when , then
The q-binomial coefficient is given as
where the notation is known as the q-factorial of t and is given as
We strictly refer to [17,18] for basic terminologies in q-calculus.
1.3. q-Sequence Spaces and Motivation
The construction of sequence spaces by using q-calculus was realized very recently in the literature. The following q-analogs (or -analogs) , , and of the Cesàro matrix, Catalan matrix, difference matrix of the second order and Euler matrix, respectively, can be found in [19,20,21,22]:
where is the q-Catalan number. Demiriz and Şahin [23] and Yaying et al. [24] studied the q-analogs of Cesàro sequence spaces and Additionally, q-analogs of Catalan sequence spaces and (cf. [22]) were contributed recently to the literature. Moreover, Yaying et al. [20] studied the -analog and of Euler sequence spaces. Bustoz and Gordillo [25] introduced the m-th order q-difference operator defined as follows:
By following this theory of the q-difference operator, quite recently, Yaying et al. [21] introduced q-difference sequence spaces of the second order and and obtained the spectral analysis of over the space
One can observe from the above discussion that the widely studied spaces , c, and have been modified by various authors with the use of difference operators, as well as investigating the relations of the aforesaid spaces. Most recently, involving q-calculus and the difference operators, the authors of [21] presented a modification of and c, which were denoted by and . In the next section, we present the generalization of and by defining and , which will fill the gap of further research in this direction.
Obviously, . Previous work had limitations in that we could not demonstrate the relationship between c and as well as further research related to and in the quantum sense, but one can study these types of work after the present studies.
Motivated by the above studies, in particular [8,21], we construct the domains and Additionally, the spectral analysis of the operator over the space is also obtained.
2. and
In this section, the q-difference sequence spaces and are presented, inclusion relations are obtained, and the basis of the space is determined.
Yaying et al. [21,26] defined the difference operator by
where and for Equivalently,
It is evident that when Additionally, unlike its ordinary form, In fact
The inverse of the operator is obtained as (cf. [21])
Define the q-difference sequence spaces and by
These spaces can also be illustrated in the notation of the matrix domain as follows:
It is clear from the above definition of the sequence spaces and that the sequence defined by
is the -transform of the sequence Moreover, by using (1), we notice that
for each Here onward, the sequences and are related by (1) (or by (2)).
For , the space becomes () due to Altay [27], and becomes () due to Malkowsky and Parashar [28]. We notice that [25], so it is not meaningful to work on [29], but the studies involving the difference operator is stronger than ∇. Based on these facts, we conclude that the spaces and are stronger than (and so ) and (and so ), respectively, and hence, our results too.
We recall that a sequence space is symmetric (cf. [30]) if whenever where is a permutation on . We consider the sequence then Now, we consider the rearranged sequence
Then, Consequently, is not a symmetric space.
Now, we state our first result:
Proposition 1.
- 1.
- is a complete p-normed space due to the p-norm
- 2.
- is a -space normed by
- 3.
- is a -space normed by
Proposition 2.
and
Proof.
The result is proved for the space Since the q-difference operator is a triangular matrix, its inverse exists. This immediately implies that the mapping defined by
is a linear bijection that preserves the norm (or p-norm). This concludes that is linearly isomorphic to the space □
We emphasize here that the q-difference sequence spaces and reduce to and , respectively, as . Thus the relations and are trivial. Additionally, we consider the sequence mentioned in p.4. We observe that but
Proposition 3.
strictly holds.
Proof.
Since holds, the inclusion part is obvious.
The relation is strict, so we take a sequence Let us define a sequence by for each Then, This implies the fact that as desired. □
Proposition 4.
strictly holds, where
Proof.
We utilize the similar method applied in the proof of Theorem 3 to establish this result. □
A Schauder basis for is a sequence such that for each there corresponds a unique sequence, say of scalars,
It is known that, for a triangle the matrix domain has a basis if has a basis. As a result of this fact along with with Theorem 2, we deduce the following result:
Theorem 1.
Define the sequence by
Then
- (a)
- The basis of the space is given by the set and every has a unique representation of the form where
- (b)
- The sequence space has no Schauder basis.
3. Duals of the Spaces and
For the -, - and -dual of are the sets
respectively.
In this section, we obtain , and for Before proceeding further, we list the following lemmas which are required to obtain the duals of these spaces. Here onward, the family of all finite subsets of is denoted by and
Lemma 1
([31]). These results are well known:
Lemma 2.
These results hold:
Theorem 2.
Let
Then,
- (i)
- (ii)
- .
Proof.
For define the matrix defined for all by
This leads to the equality:
where the sequence is given Thus whenever iff whenever . Thus, if . Therefore, by applying Lemma 2(i), we obtain that
In a similar way, the proof of Part (ii) is established by utilizing Lemma 1(i) in place of Lemma 2(i) in the above statements. We omit the details here to avoid repetition of the same lines. □
Theorem 3.
Let
Then,
- (i)
- (ii)
- .
Proof.
For define the matrix for all by
This leads to the equality:
where the sequence is given We see that converges whenever if whenever This means that if . Hence, by utilizing Lemma 1(v) and Lemma 2(iii), we conclude that
The -dual of is obtained in the similar fashion by utilizing Lemma 1(ii), respectively, in place of Lemma 1(v) and Lemma 2(iii) in the above statements. To avoid repetition of similar statements, we omit the details. □
Theorem 4.
We have
- (i)
- (ii)
- with
Proof.
To obtain the -dual of the space we utilize Lemma 2(ii) and Lemma 1(iv) in place of Lemma 2(iii) and Lemma 1(v) in the proof of Theorem 3, respectively. For obtaining the -dual of we utilize Lemma 1(iii) instead of Lemma 1(ii). Details are omitted. □
4. Matrix Mappings
We here characterize the matrix classes where and A very useful and interesting proceeding result follows from [5].
Theorem 5.
Let or and Let and be defined by
for all Then, if for each and
Proof.
Let and Then, we have the following equality
for all Since exists, Letting in (13), we obtain As Therefore,
Conversely, let and Let Then, which leads us to the fact that for each By using (13), as Thus □
Now, we utilize (5) to characterize some matrix classes from to We give below some conditions which are necessary for deducing our results:
Lemma 3.
One can see the necessary and sufficient condition from Table 1 for where and .
Table 1.
Characterization of the matrix class where and .
5. Spectrum of Over the Space
Finally, some spectral analyses of over are examined.
Consider a complex normed space and any linear operator (:=domain of ). We use the following notations for the proceeding work:
For any the inverse of the operator is called the resolvent operator of provided that is invertible. Further, is a regular value of if
- (A1)
- exists;
- (A2)
- is bounded;
- (A3)
- is defined on a set which is dense in
Define the set Then, is called the resolvent set of The spectrum is the set It is further classified into three disjoint sets:
- (1)
- The set is called point spectrum of over the space
- (2)
- The set is called continuous spectrum of over the space
- (3)
- is called residual spectrum of over the space
In the literature, several studies can be traced concerning spectral analysis of special matrices in different sequence spaces. We do, however, briefly mention those studies in the literature that deal with the determination and the classification of spectrum involving only difference operators. The readers may refer Table 2 for studies concerning spectral analysis of difference operators over various sequence spaces.
Table 2.
Related work by some authors.
Lemma 4
([45]). The matrix gives rise to a bounded linear operator if the supremum of norms of the columns of H is bounded.
Lemma 5
([46]). The adjoint operator is one–one if ϕ has a dense range.
Theorem 6.
is a linear operator and
Proof.
This is immediate from Lemma 4 together with
□
Theorem 7.
Proof.
Consider the equality for This yields the following system of equations:
For a fixed let for all and Then, we obtain that Taking in the proceeding equation yields which is a contradiction to the fact Thus □
Theorem 8.
Let and assume that the series converges for an increasing sequence of real numbers and for large Then,
Proof.
Consider with The operator being a triangle has an inverse given by
Equivalently, for each entries can be written as
and so on. Clearly for
Now we proceed to show that i.e., We first prove that the series converges for each
Let
which gives
where
and
are the coefficients of respectively. We fairly see that the sequence is increasing. It follows from our assumption that there exists a number v such that for the series Further, let Then, by using inequality (25) together with the fact that we obtain
Thus, is a sequence of positive reals and Hence Thus, , whenever Moreover, the domain of is dense in , which is clear from the fact that . Hence
The converse part is two-fold:
- Case 1: When then is unbounded. Thus, for ,
- Case 2: When is a triangle, and so exists.
Let with . Then is unbounded. Consequently, with
Again, let with which again yields that Hence is unbounded. Hence with Thus
□
Theorem 9.
Proof.
Let be a non-zero sequence such that , which gives the system of linear equations as follows:
One may observe that for we obtain that
and Thus, following the similar pattern, we obtain that . This implies that
Conversely, it is trivial that if then
□
Theorem 10.
Proof.
Let with Then, the operator is a triangle and so is invertible, provided that . By using Theorem 6, the operator is one–one for and so is invertible. Again by Theorem 9, the operator is not one–one for Thus with the help of Lemma 5, we conclude that
Hence □
Theorem 11.
Proof.
This is straightforward from Theorems 8, 7 and 10 together with the fact that □
6. Conclusions
This study is a natural continuation of the works investigated in [21]. The present literature contains various application of q-difference operators in different field of mathematics. But only a couple of studies [21,26] can be traced involving construction of sequence spaces by using q-difference operator. We constructed q-difference sequence spaces and This work is an exemplar that focusses on one of the many application of q-calculus in sequence spaces. Besides, we gave another application of q-difference operator by determining spectral analysis of the operator in the space
It is evident that as . Consequently, this study is a q-analog of difference sequence spaces of second order in and . The investigated results advances the sequence spaces theory to a new level and paves the way for more research in this direction. For future scope, one may study the mth-generalization of this study by following the theroy of mth order q-difference operator as studied by Bustoz and Gordillo [25]. Further, q-difference operators can be used in the study associated to medical diagnosis and decision making in the setting of spherical fuzzy sets [47].
Author Contributions
A.A.: Conceptualization; Review and Editing. T.Y.: Conceptualization, Preparing original draft; Review and Editing. S.A.M.: Conceptualization; Review and Editing. All authors read and approved the final manuscript.
Funding
This project was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant no. (G: 305-130-1442).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No data were used in this study.
Acknowledgments
This project was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant no. (G: 305-130-1442). The authors, therefore, acknowledge with thanks DSR for technical and financial support.
Conflicts of Interest
The authors declare that there is no conflict of interest.
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