Abstract
In this study, we give another generalization of second order backward difference operator by introducing its quantum analog The operator represents the third band infinite matrix. We construct its domains and in the spaces and c of null and convergent sequences, respectively, and establish that the domains and are Banach spaces linearly isomorphic to and respectively, and obtain their Schauder bases and -, - and -duals. We devote the last section to determine the spectrum, the point spectrum, the continuous spectrum and the residual spectrum of the operator over the Banach space of null sequences.
Keywords:
q-calculus; quantum difference operator; α-, β- and γ-duals; point spectrum; continuous spectrum; residual spectrum MSC:
46A45; 46B45; 47A10
1. Introduction Furthermore, Preliminaries
The q-analog of a mathematical expression means the generalization of that expression by using the parameter The generalized expression returns the original expression when q approaches The study of q-calculus can be traced back to the time of Euler. It is a wide and interesting area of research in recent times. Due to the vast applications in mathematics, physics and engineering sciences of q-calculus, numerous researchers are engaged in the field. In the field of mathematics, it is widely used by researchers in approximation theory, combinatorics, hypergeometric functions, operator theory, special functions, quantum algebras, etc.
Let Then the q-number is defined by
One can notice that whenever .
Definition 1.
The q-analog of binomial coefficient is defined by
where q-factorial of n is given by
Furthermore, Further which is natural q-analog of its ordinary version For detailed studies in q-calculus, readers may see [1]. Since the q-calculus and time scale calculus are correlated, readers can see [2,3,4,5] and references therein for more information.
1.1. Sequence Space
The set of all real- or complex-valued sequences is denoted by . Sequence space is a linear subspace of . Some of the well-known examples of sequence spaces are the space of absolutely summable sequences, the space of bounded sequences, the space of convergent sequences and the space of null sequences, denoted by c and respectively. The spaces of all bounded and convergent series, respectively, are denoted by and . Any Banach sequence space with continuous coordinates is called a -space. The spaces and c are -spaces equipped with the supremum norm where is the set of non-negative integers.
Let be an infinite matrix of real or complex entries. Let The A-transform of a sequence is a sequence provided that the series converges for each . Additionally, if Z and U are two sequence spaces and for every sequence then the matrix A is said to define a matrix mapping from Z to The notation represents the family of all matrices that map from Z to Furthermore, a triangle matrix means, when and for
The domain of the matrix A in the space Z is a sequence space. It is defined by
Additionally, if Z is a -space and A is a triangle matrix, then the sequence space is also a -space endowed with the norm Recently several authors used special matrices for constructing new sequence spaces (or -spaces) using their domain in classical sequence spaces. One may refer to the papers [6,7,8,9,10,11] related to this area.
1.2. Difference Operators and Sequence Spaces
Define the operators and ∇ by and for all which are well known as forward and backward difference operators of first order, respectively. Here and in what follows, we assume that for Difference operators are extensively used in summability theory, spectral theory, approximation theory, quantum or post-quantum theory, etc. Sequences such as is not convergent in the ordinary sense. However, the sequence defined by for all is convergent.
In the present literature, several difference operators and their generalizations (cf. [8,12,13,14,15,16,17,18,19]) can be found, studied by many researchers from all around the globe. The domains and are studied by Kızmaz [19]. Later on, the operators and ∇ were extended to and defined by and respectively, (cf. [15,17]). The studies on difference operators and their domains in the classical sequence spaces further attracted more researchers after the introduction of generalized difference operators [13], [14], [18], [16], [12] and [8] defined by
respectively. Readers may also refer these high-quality papers [7,12,20,21,22,23,24] concerning sequence spaces constructed using the difference operators.
1.3. Motivation
Several studies can be found in the literature dealing with the quantum generalization of well-known operators including Hausdorff matrices, difference operators, etc. Quite recently, Demiriz and Şahin [25], Yaying et al. [11] and Bakery and Mohamed [26] studied quantum generalizations of Cesàro sequence spaces. Moreover, studies on the -analogue of Euler sequence spaces [27] is a recent addition in the field of sequence spaces and summability theory. The spectrum of q-Cesàro matrix in the space is discussed by Yıldırım [28]. However, to date, no studies have been carried out on the determination of the spectrum of quantum difference operators.
Motivated by the above studies, we present quantum difference operator of the second order and study its domain in the spaces c and of convergent and null sequences, respectively, and determine its spectrum, point spectrum, residual spectrum, and continuous spectrum over the space .
2. Operator and Sequence Spaces and
Define the difference operator by
where and any term of the sequence with negative indices are assumed to be zero. The operator can also be expressed in the form of a triangle matrix as follows:
for all We pressumed that for Equivalently
We observe that the operator reduces to when Furthermore, we noticed that the operator unlike its ordinary version In fact
Using some elementary calculation, we derive the inverse of the operator as
Now, we define the q-difference sequence spaces and by
We observe that the spaces and are reduced to the second order backward difference sequence spaces and , respectively, as . Thus, the inclusions and are evident. Moreover, the inclusion is trivial. In the light of the notation (1), the above sequence spaces are redefined as
Furthermore, a sequence space X is said to be symmetric if whenever where is a permutation on (cf. [21]). Consider the sequence then Now, consider the rearranged sequence . Then, Consequently, is not a symmetric space.
We define sequence as the -transform of the sequence , i.e.,
for each . In the remaining part of the article, the sequences u and z are related by (2). Moreover, by using (2), we observe that
for each
Now, we state our first result:
Theorem 1.
and are -spaces endowed with the norm
Proof.
The proof is straightforward. So, we omit details. □
Theorem 2.
and
Proof.
Define the mapping by for all Clearly, is linear and 1-1. Let the sequence be defined as in (3) and be any arbitrary sequence in . Then, we have
This implies and the mapping is onto, and norm preserving. Hence,
The proof for the space can be obtained in a similar fashion. Hence the proof. □
Now we construct bases for the spaces and We recall that, for a triangle matrix the matrix domain has a basis if and only if Z has a basis, (cf. Jarrah and Malkowsky [29] (Theorem 2.3)). Thus, by using Theorem 2, we immediately arrive at the following result:
Theorem 3.
For every fixed define the sequences by
Then
- (a)
- the set forms the basis for the space and every has a unique representation of the form
- (b)
- the set forms the basis for the space and every can be uniquely expressed in the form where as and e denote the unit sequence.
3. -, -and -Duals
In the present section, we determine the -, -and -duals of the spaces and Since the computation of duals is similar for both the spaces, we omit the proof for the space Before proceeding, we recall the definitions of -, -and -duals.
Definition 2.
The α-, β- and γ-duals , and of a sequence space Z are defined by
respectively.
Chandra and Tripathy [30] investigated the generalized duals of sequence spaces. We present the following lemma which is essential to compute the dual spaces. In what follows, we denote the collection of all finite subsets of by .
Lemma 1.
[31] The following statements hold:
- (i)
- if and only if
- (ii)
- if and only if
- (iii)
- if and only if (5) holds.
Theorem 4.
The set
is the α-dual of the spaces and
Proof.
Consider
for all where the matrix is defined by
for all . By using (7), it follows that whenever if and only if whenever Thus, we deduce that is a sequence in if and only if the matrix belongs to the class Thus, we conclude from Part (i) of Lemma 1 that
This completes the proof. □
Theorem 5.
The following statements hold:
- (a)
- (b)
where the sets and are defined by
Proof.
Consider
for each where the matrix is defined by
for all Thus, on using (8), it follows that , whenever if and only if whenever This yields that is a sequence in if and only the matrix belongs to the class This in turn implies by using Part (ii) of Lemma 1 that
Thus, .
This completes the proof. □
Theorem 6.
The set is the γ-dual of the spaces and
Proof.
The proof is similar to Theorem 5 by using Part (iii) instead of Part (ii) of Lemma 1. We omit details to avoid the repetition of similar statements. □
4. Matrix Transformations
In the present section, we determine necessary and sufficient conditions for matrix mappings from the spaces and to any one of the space or The following theorem, which is immediate from Kirişçi and Başar [7], is fundamental in our investigation.
Theorem 7.
Let Z be any one of the space c or and Define and by
for all Then, if and only if for each and
Proof.
Let and Then, we obtain the following equality
for all Since exists, so Again as in (9), we obtain Since so which yields the consequence that
Conversely, assume that for all and Let Then, for each which in turn implies the fact that for each Again from (9), as This implies that □
Now, by using the matrix mapping charaterization results given in Stieglitz and Tietz [31] together with Theorem 7, we obtain the following results:
Corollary 1.
The following statements hold:
5. Spectrum of in
The point spectrum, continuous spectrum and residual spectrum of the operator in the space are determined in this section.
Let be a complex normed space and be a linear operator, where stands for the domain of Moreover and denote the adjoint of the range of and the set of all bounded linear operators on Z into itself, respectively. Let represents the set of all complex numbers. Then, the operator is called the resolvent operator of given that is invertible, where and I is the identity operator on Further is called a regular value of if it suffices the following conditions:
- (S1)
- exists;
- (S2)
- is bounded;
- (S3)
- is defined on a set which is dense in
The resolvent set of is the set containing all the regular values of The spectrum of is defined by the set The spectrum is partitioned into three disjoint sets:
- (a)
- Point spectrum
- (b)
- Continuous spectrum
- (c)
- Residual spectrum (S1) holds (S3) does not hold, (S2) may or may not hold}.
In the field of functional analysis, the studies on determining the spectrum of special operators over different sequence spaces has become an active area of research. Several studies can be found in the literature dealing with the investigation of spectrum of well known matrices over various sequence spaces. However, we shall briefly highlight on the studies related to the determination of spectrum of difference operators only. The spectrum of the first order difference operator over the spaces and was studied by Akhmedov and Başar [32,33], over the spaces c and was studied by Altay and Başar [6,34], and over the sequence spaces and was examined by Kayaduman and Furkan [35]. The spectrum of second order backward difference operator over the space was studied by Dutta and Baliarsingh [15]. The spectrum of the generalized difference operator over the spaces and was studied by Bilgiç and Furkan [13] and over the spaces and was studied by Furkan et al. [36]. Further, the fine spectrum of the difference operator over the spaces and was studied by Bilgiç and Furkan [14] and over the spaces and by Furkan et al. [37,38]. Furthermore, the spectra of the difference operator over the sequence spaces and have been investigated by Tripathy and Paul [39,40]. The spectra of the th order backward difference operator over the Banach space c is studied by Baliarsingh et al. [41]. Baliarsingh and Dutta [16,42] further studied the spectrum of the generalized difference operator over the spaces and Moreover, the spectrum of the more generalized difference operator over the space and are investigated by Meng and Mei [8] and Baliarsingh [43], respectively, which is a symmetric spectrum. Natural numbers occurring as levels of a symmetric spectrum or as dimensions of homotopy groups are really placeholders for sphere coordinates. The role of the symmetric group actions on the spaces of a symmetric spectrum is to keep track of how such coordinates are shuffled. Permutations will come up over and over again in constructions and results about symmetric spectra, and there is a very useful small set of rules which predict when to expect permutations.
Lemma 2.
([44], p. 129). The matrix gives rise to a bounded linear operator if and only if for each and Further,
Lemma 3.
([45], p. 59)). A linear operator has a dense range ⇔ the adjoint is 1-1.
Theorem 8.
The operator is a linear operator and
Proof.
The result immediately follows from the fact that
□
Theorem 9.
Let Then
Proof.
Let satisfying Since is a triangle matrix, and therefore has an inverse defined by
Thus, for each the general expression for the entries may be computed as
and so on.
Now we proceed to show that the matrix is bounded on that is
Consider the following equality
Since
Since, and is a sequence of positive reals, we conclude that Moreover, this is obvious from the assumption that
Thus, we realize that
- (i)
- The series converges and exists, for each
- (ii)
- for each
Thus, , whenever This implies
Conversely, we need to show that
We notice, when , the operator is not invertible. Again, when and , we observe that is unbounded. This implies whenever Hence,
Theorem 10.
Proof.
Suppose Then there exists at least one non-zero sequence with This leads us to the following system of equations:
Let be the first non-zero component of then we get Substituting in the next equation, we get This implies which is a contradiction to our assumption that is the first non-zero component of Thus, □
Theorem 11.
Proof.
Let be a non-zero sequence. Then, the matrix equation yields the following system of linear equations:
Using a simple calculation, we obtain
In general,
Clearly, for each is an eigen vector corresponding to the eigen value satisfying This is clear from the following statement
Thus, for each This implies that
Conversely, it is trivial that if then
This completes the proof. □
Theorem 12.
Proof.
Let It is easy to notice that the operator is invertible. Further, Theorem 11 implies that the operator is not for Hence it is immediate from Lemma 3 that
Thus, □
Theorem 13.
Proof.
The result is immediate from Theorems 9, 10 and 12, and the relation □
6. Conclusions
In this study, we provided an instance wherein quantum calculus has been applied to construct sequence spaces. We constructed quantum difference sequence spaces and defined as the domain of the second order quantum difference operator in the spaces and respectively. We further determine the spectrum, the point spectrum, the residual spectrum, and the continuous spectrum of the operator in the space We observed that the operator reduces to (cf. [15]) as q tends to Thus, our study strengthens the results of Dutta and Baliarsingh [15]. This study will pave the way for various pieces of research in this field. For instance, as a potential research direction, one may study the domain of the difference operator in the sequence space of absolutely p-summable sequences and compute the spectrum of over ( or ) (cf. [6,14,16]).
Author Contributions
T.Y., B.H., B.C.T. and M.M. contributed equally to the writing of this paper. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
The authors are thankful to the anonymous reviewers for carefully studying the article and suggesting necessary changes that improved the presentation of the article. The research of the first author (T. Yaying) is supported by SERB, DST, New Delhi, India, under the grant number EEQ/2019/000082.
Conflicts of Interest
The authors declare no conflict of interest.
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