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Article

The Spectrum of Second Order Quantum Difference Operator

by
Taja Yaying
1,†,
Bipan Hazarika
2,†,
Binod Chandra Tripathy
3,† and
Mohammad Mursaleen
4,5,*,†
1
Department of Mathematics, Dera Natung Government College, Itanagar 791113, India
2
Department of Mathematics, Gauhati University, Gauhati 781014, India
3
Department of Mathematics, Tripura University, Agartala 799022, India
4
Department of Mathematics, Aligarh Muslim University, Aligarh 202002, India
5
Department of Medical Research, China Medical University Hospital, China Medical University (Taiwan), Taichung 40001, Taiwan
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Submission received: 9 December 2021 / Revised: 12 January 2022 / Accepted: 7 March 2022 / Published: 10 March 2022
(This article belongs to the Special Issue Advances in Matrix Transformations, Operators and Symmetry)

Abstract

:
In this study, we give another generalization of second order backward difference operator 2 by introducing its quantum analog q 2 . The operator q 2 represents the third band infinite matrix. We construct its domains c 0 ( q 2 ) and c ( q 2 ) in the spaces c 0 and c of null and convergent sequences, respectively, and establish that the domains c 0 ( q 2 ) and c ( q 2 ) are Banach spaces linearly isomorphic to c 0 and c , respectively, and obtain their Schauder bases and α -, β - and γ -duals. We devote the last section to determine the spectrum, the point spectrum, the continuous spectrum and the residual spectrum of the operator q 2 over the Banach space c 0 of null sequences.

1. Introduction Furthermore, Preliminaries

The q-analog of a mathematical expression means the generalization of that expression by using the parameter q . The generalized expression returns the original expression when q approaches 1 . 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 q ( 0 , 1 ) . Then the q-number [ n ] q is defined by
[ n ] q = k = 0 n 1 q k , n = 1 , 2 , 3 , , 0 , n = 0 .
One can notice that [ n ] q = n whenever q 1 .
Definition 1.
The q-analog n k q of binomial coefficient n k is defined by
n k q = [ n ] q ! [ n k ] q ! [ k ] q ! , n k , 0 , k > n ,
where q-factorial [ n ] q ! of n is given by
[ n ] q ! = k = 1 n [ k ] q , n = 1 , 2 , 3 , , 1 , n = 0 .
Furthermore, 0 0 q = n 0 q = n n q = 1 . Further n n k q = n k q which is natural q-analog of its ordinary version n n k = n k . 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 ω . Sequence space is a linear subspace of ω . 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 1 ,   ,  c and c 0 , respectively. The spaces of all bounded and convergent series, respectively, are denoted by b s and c s . Any Banach sequence space with continuous coordinates is called a B K -space. The spaces c 0 and c are B K -spaces equipped with the supremum norm z c = sup k N 0 | z k | , where N 0 is the set of non-negative integers.
Let A = ( a n , k ) be an infinite matrix of real or complex entries. Let A n = ( a n , k ) k N 0 . The A-transform of a sequence z = ( z k ) is a sequence A z = { ( A z ) n } = k = 0 a n , k z k , provided that the series k = 0 a n , k z k converges for each n N 0 . Additionally, if Z and U are two sequence spaces and A z U for every sequence z Z , then the matrix A is said to define a matrix mapping from Z to U . The notation ( Z , U ) represents the family of all matrices that map from Z to U . Furthermore, a triangle matrix A = ( a n , k ) means, when a n , n 0 and a n , k = 0 for n < k .
The domain Z A of the matrix A in the space Z is a sequence space. It is defined by
Z A = { z ω : A z Z } .
Additionally, if Z is a B K -space and A is a triangle matrix, then the sequence space Z A is also a B K -space endowed with the norm z Z A = A z Z . Recently several authors used special matrices for constructing new sequence spaces (or B K -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 Δ and ∇ by ( Δ z ) k = z k z k + 1 and ( z ) k = z k z k 1 for all k N 0 , which are well known as forward and backward difference operators of first order, respectively. Here and in what follows, we assume that z k = 0 for k < 0 . Difference operators are extensively used in summability theory, spectral theory, approximation theory, quantum or post-quantum theory, etc. Sequences such as ( z k ) = ( k ) is not convergent in the ordinary sense. However, the sequence ( ( Δ z ) k ) defined by ( Δ z ) k = 1 for all k , 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 ( Δ ) , c ( Δ ) and c 0 ( Δ ) are studied by Kızmaz [19]. Later on, the operators Δ and ∇ were extended to Δ 2 and 2 defined by ( Δ 2 z ) k = ( Δ z ) k ( Δ z ) k + 1 and ( 2 z ) k = ( z ) k ( z ) k 1 , 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 B ( r , s ) [13], B ( r , s , t ) [14], Δ r [18], r [16], B ( m ) [12] and B v ( m ) [8] defined by
( B ( r , s ) z ) k = r z k + s z k 1 ; ( B ( r , s , t ) z ) k = r z k + s z k 1 + t z k 2 ; ( Δ r z ) k = ( Δ ( Δ r 1 z ) ) k ; ( r z ) k = ( ( r 1 z ) ) k ; ( B ( r ) z ) k = j = 0 m m j r m j s j z k j ; ( B v ( r ) z ) k = j = 0 m m j r m j s j v k j z k j ;
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 ( p , q ) -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 c 0 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 c 0 of convergent and null sequences, respectively, and determine its spectrum, point spectrum, residual spectrum, and continuous spectrum over the space c 0 .

2. Operator q 2 and Sequence Spaces c 0 ( q 2 ) and c ( q 2 )

Define the difference operator q 2 : ω ω by
( q 2 z ) k = z k ( 1 + q ) z k 1 + q z k 2 ,
where k N 0 and any term of the sequence with negative indices are assumed to be zero. The operator q 2 = ( δ n , k 2 ; q ) can also be expressed in the form of a triangle matrix as follows:
δ n , k 2 ; q = ( 1 ) n k q n k 2 2 n k q , ( k n ) , 0 , ( k > n ) ,
for all n , k N 0 . We pressumed that n k q = 0 for k > n . Equivalently
q 2 = 1 0 0 0 ( 1 + q ) 1 0 0 q ( 1 + q ) 1 0 0 q ( 1 + q ) 1 .
We observe that the operator q 2 reduces to 2 when q 1 . Furthermore, we noticed that the operator q 2 q q , unlike its ordinary version 2 . In fact
( q 2 z ) k = ( q z ) k q ( q z ) k 1 .
Using some elementary calculation, we derive the inverse of the operator q 2 as
( q 2 ) n , k = n k + 1 n k q , 0 k n , 0 , k > n .
Now, we define the q-difference sequence spaces c 0 ( q 2 ) and c ( q 2 ) by
c 0 ( q 2 ) : = z = ( z k ) ω : q 2 z c 0 , c ( q 2 ) : = z = ( z k ) ω : q 2 z c .
We observe that the spaces c 0 ( q 2 ) and c ( q 2 ) are reduced to the second order backward difference sequence spaces c 0 ( 2 ) and c ( 2 ) , respectively, as q 1 . Thus, the inclusions c 0 c 0 ( 2 ) c 0 ( q 2 ) and c c ( 2 ) c ( q 2 ) are evident. Moreover, the inclusion c 0 ( q 2 ) c ( q 2 ) is trivial. In the light of the notation (1), the above sequence spaces are redefined as
c 0 ( q 2 ) = ( c 0 ) q 2 and c ( q 2 ) = c q 2 .
Furthermore, a sequence space X is said to be symmetric if z ϕ ( k ) X whenever ( z k ) X , where ϕ ( k ) is a permutation on N 0 (cf. [21]). Consider the sequence ( z k ) = ( k ) k N 0 , then ( z k ) c ( q 2 ) . Now, consider the rearranged sequence ( z k ) = ( z 0 , z 2 , z 3 , z 1 , z 5 , z 6 , z 4 , z 8 , ) . Then, ( z k ) c ( q 2 ) . Consequently, c ( q 2 ) is not a symmetric space.
We define sequence u = ( u n ) as the q 2 -transform of the sequence z = ( z k ) , i.e.,
u n = ( q 2 z ) n = k = 0 n ( 1 ) k q k 2 2 k q z n k = z n ( 1 + q ) z n 1 + q z n 2
for each n N 0 . In the remaining part of the article, the sequences u and z are related by (2). Moreover, by using (2), we observe that
z k = v = 0 k k v + 1 k v q u v
for each k N 0 .
Now, we state our first result:
Theorem 1.
c 0 ( q 2 ) and c ( q 2 ) are B K -spaces endowed with the norm
z c 0 ( q 2 ) = z c ( q 2 ) = sup n N 0 ( q 2 z ) n .
Proof. 
The proof is straightforward. So, we omit details. □
Theorem 2.
c 0 ( q 2 ) c 0 and c ( q 2 ) c .
Proof. 
Define the mapping π : c 0 ( q 2 ) c 0 by π z = u = q 2 z for all z c 0 ( q 2 ) . Clearly, π is linear and 1-1. Let the sequence z = ( z k ) be defined as in (3) and u = ( u n ) be any arbitrary sequence in c 0 . Then, we have
lim n ( q 2 z ) n = lim n k = 0 n ( 1 ) k q k 2 2 k q z n k = lim n u n = 0 .
This implies z c 0 ( q 2 ) and the mapping π is onto, and norm preserving. Hence, c 0 ( q 2 ) c 0 .
The proof for the space c ( q 2 ) can be obtained in a similar fashion. Hence the proof. □
Now we construct bases for the spaces c 0 ( q 2 ) and c ( q 2 ) . We recall that, for a triangle matrix A , the matrix domain Z A 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 k N 0 , define the sequences f ( k ) ( q ) = ( f n ( k ) ( q ) ) by
f n ( 1 ) ( q ) = k = 0 n k + 1 k q , n = 0 , 1 , 2 , ; f n ( k ) ( q ) = n k + 1 n k q , k n , 0 , k > n .
Then
(a)
the set f ( 0 ) ( q ) , f ( 1 ) ( q ) , f ( 2 ) ( q ) , forms the basis for the space c 0 ( q 2 ) and every z c 0 ( q 2 ) has a unique representation of the form z = k = 0 u k f ( k ) ( q ) .
(b)
the set f ( 1 ) ( q ) , f ( 0 ) ( q ) , f ( 1 ) ( q ) , f ( 2 ) ( q ) , forms the basis for the space c ( q 2 ) and every z c ( q 2 ) can be uniquely expressed in the form z = r e + k = 0 ( u k r ) f ( k ) ( q ) , where u k = ( q 2 z ) k r as k and e denote the unit sequence.

3. α -, β -and γ -Duals

In the present section, we determine the α -, β -and γ -duals of the spaces c 0 ( q 2 ) and c ( q 2 ) . Since the computation of duals is similar for both the spaces, we omit the proof for the space c ( q 2 ) . Before proceeding, we recall the definitions of α -, β -and γ -duals.
Definition 2.
The α-, β- and γ-duals Z α , Z β and Z γ of a sequence space Z are defined by
Z α : = { d = ( d k ) ω : d z = ( d k z k ) 1 for all z Z } , Z β : = { d = ( d k ) ω : d z = ( d k z k ) c s for all z Z } , Z γ : = { d = ( d k ) ω : d z = ( d k z k ) b s for all z Z } ,
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 N 0 by N .
Lemma 1.
[31] The following statements hold:
(i)
A = ( a n , k ) ( c 0 , 1 ) = ( c , 1 ) if and only if
sup K N n = 0 k K a n , k < .
(ii)
A = ( a n , k ) ( c 0 , c ) if and only if
sup n N 0 k = 0 a n , k <
α k C lim n a n , k = α k for each k N 0 .
(iii)
A = ( a n , k ) ( c 0 , ) = ( c , ) if and only if (5) holds.
Theorem 4.
The set
D 1 ( q ) : = d = ( d n ) ω : sup N N k = 0 n N n k + 1 n k q d n < .
is the α-dual of the spaces c 0 ( q 2 ) and c ( q 2 ) .
Proof. 
Consider
d n z n = k = 0 n n k + 1 n k q d n u k = ( G ( q ) u ) n
for all n N 0 , where the matrix G ( q ) = g n , k q is defined by
g n , k q = n k + 1 n k q d n , 0 k n , 0 , k > n
for all n , k N 0 . By using (7), it follows that d z = ( d n z n ) 1 whenever z c 0 ( q 2 ) if and only if G ( q ) u 1 whenever u c 0 . Thus, we deduce that d = ( d n ) is a sequence in c 0 ( q 2 ) α if and only if the matrix G ( q ) belongs to the class ( c 0 , 1 ) . Thus, we conclude from Part (i) of Lemma 1 that c 0 ( q 2 ) α = D 1 ( q ) .
This completes the proof. □
Theorem 5.
The following statements hold:
(a)
c 0 ( q 2 ) β = D 2 ( q ) D 3 ( q ) ,
(b)
c ( q 2 ) β = D 2 ( q ) D 3 ( q ) D 4 ( q ) ,
where the sets D 2 ( q ) , D 3 ( q ) and D 4 ( q ) are defined by
D 2 ( q ) : = d = ( d n ) ω : n = k n k + 1 n k q d k exists for each k N 0 , D 3 ( q ) : = d = ( d n ) ω : sup n N 0 k = 0 n v = k n v k + 1 v k q d v < , D 4 ( q ) : = d = ( d n ) ω : lim n k = 0 n v = k n v k + 1 v k q d v e x i s t s .
Proof. 
Consider
k = 0 n d k z k = k = 0 n v = 0 k k v + 1 k v q u v d k = k = 0 n v = k n v k + 1 v k q d v u k = ( H ( q ) u ) n
for each n N 0 , where the matrix H ( q ) = ( h n , k q ) is defined by
h n , k q = v = k n v k + 1 v k q d v , 0 k n , 0 , k > n
for all n , k N 0 . Thus, on using (8), it follows that d z = ( d n z n ) c s , whenever z = ( z n ) c 0 ( q 2 ) if and only if H ( q ) u c whenever u = ( u k ) c 0 . This yields that d = ( d n ) is a sequence in c 0 ( q 2 ) β if and only the matrix H ( q ) belongs to the class ( c 0 , c ) . This in turn implies by using Part (ii) of Lemma 1 that
sup n N 0 k = 0 n h n , k q < and lim n h n , k q exists for each k N 0 .
Thus, c 0 ( q 2 ) β = D 2 ( q ) D 3 ( q ) .
This completes the proof. □
Theorem 6.
The set D 3 ( q ) is the γ-dual of the spaces c 0 ( q 2 ) and c ( q 2 ) .
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 c 0 ( q 2 ) and c ( q 2 ) to any one of the space , c , c 0 , or 1 . 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 c 0 and U ω . Define T ( n ) = ( t m , k ( n ) ) and T = ( t n , k ) by
t m , k ( n ) = 0 ( k > m ) , v = k m v k + 1 v k q a n , v ( 0 k m ) , t n k = v = k m v k + 1 v k q a n , v
for all n , k N 0 . Then, A = ( a n , k ) ( Z ( q 2 ) , U ) if and only if T ( n ) = ( t m , k ( n ) ) ( Z , c ) for each n N 0 , and T = ( t n , k ) ( Z , U ) .
Proof. 
Let A ( Z ( q 2 ) , U ) and z Z ( q 2 ) . Then, we obtain the following equality
k = 0 m a n , k z k = k = 0 n v = 0 k k v + 1 k v q u v a n , k = k = 0 m v = k m v k + 1 v k q a n , v u k = k = 0 m t m , k ( n ) u k
for all m , n N . Since A z exists, so T ( n ) ( Z , c ) . Again as m in (9), we obtain A z = T u . Since A z U , so T u U which yields the consequence that T ( Z , U ) .
Conversely, assume that T ( n ) = t m , k ( n ) ( Z , c ) for all n N , and T = ( t n , k ) ( Z , U ) . Let z Z ( q 2 ) . Then, for each n N ,   a n , k k N Z β which in turn implies the fact that a n , k k N Z ( q 2 ) β for each n N . Again from (9), A z = T u as m . This implies that A ( Z ( q 2 ) , U ) .  □
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:
1.
A ( c 0 ( q 2 ) , ) if and only if
sup m N 0 k = 0 t m , k ( n ) < ,
lim m t m , k ( n ) exists for all k N 0
hold and
sup n N 0 k = 0 t n , k < ,
also holds.
2.
A ( c 0 ( q 2 ) , c ) if and only if (10), (11) and (12) hold, and
lim n t n , k exists for all k N 0 ,
also holds.
3.
A ( c 0 ( q 2 ) , c 0 ) if and only if (10), (11) and (12) hold, and
lim n t n , k = 0 for all k N 0 ,
also holds.
4.
A ( c 0 ( q 2 ) , 1 ) if and only if (10) and (11) hold, and
sup N N k = 0 n N t n , k < ,
also holds.
Corollary 2.
The following statements hold:
1.
A ( c ( q 2 ) , ) if and only if (10), (11) and (12) hold, and
lim m k = 0 t m , k ( n ) exists for each n ,
also holds.
2.
A ( c ( q 2 ) , c ) if and only if (10), (11), (12), (13) and (16) hold, and
lim n k = 0 n t n , k exists
also holds.
3.
A ( c ( q 2 ) , c 0 ) if and only if (10), (11), (12), (14) and (16) hold, and
lim n k = 0 n t n , k = 0
also holds.
4.
A ( c ( q 2 ) , 1 ) if and only if (10), (11), (15) and (16) hold.

5. Spectrum of q 2 in C 0

The point spectrum, continuous spectrum and residual spectrum of the operator q 2 in the space c 0 are determined in this section.
Let Z { θ } be a complex normed space and L : D ( L ) Z be a linear operator, where D ( L ) stands for the domain of L . Moreover L ,   R ( L ) and B ( Z ) denote the adjoint of L , the range of L and the set of all bounded linear operators on Z into itself, respectively. Let C represents the set of all complex numbers. Then, the operator L α 1 = ( L α I ) 1 is called the resolvent operator of L , given that L α is invertible, where α C and I is the identity operator on D ( L ) . Further α C is called a regular value of L if it suffices the following conditions:
(S1)
L α 1 exists;
(S2)
L α 1 is bounded;
(S3)
L α 1 is defined on a set which is dense in Z .
The resolvent set of L is the set r ( L , Z ) containing all the regular values of L . The spectrum of L is defined by the set s ( L , Z ) = C r ( L , Z ) . The spectrum s ( L , Z ) is partitioned into three disjoint sets:
(a)
Point spectrum  s p ( L , Z ) = { α C : ( S 1 ) does not hold } .
(b)
Continuous spectrum  s c ( L , Z ) = { α C : ( S 1 ) and ( S 3 ) hold but ( S 2 ) does not hold } .
(c)
Residual spectrum  s r ( L , Z ) = { α C : (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 Δ over the spaces p and b v p was studied by Akhmedov and Başar [32,33], over the spaces c 0 , c and p ( 0 < p < 1 ) was studied by Altay and Başar [6,34], and over the sequence spaces 1 and b v was examined by Kayaduman and Furkan [35]. The spectrum of second order backward difference operator 2 over the space c 0 was studied by Dutta and Baliarsingh [15]. The spectrum of the generalized difference operator B ( r , s ) over the spaces p and b v p was studied by Bilgiç and Furkan [13] and over the spaces 1 and b v was studied by Furkan et al. [36]. Further, the fine spectrum of the difference operator B ( r , s , t ) over the spaces 1 and b v was studied by Bilgiç and Furkan [14] and over the spaces c 0 , c , p and b v p by Furkan et al. [37,38]. Furthermore, the spectra of the difference operator D ( r , 0 , 0 , s ) over the sequence spaces c 0 , c , p and b v p have been investigated by Tripathy and Paul [39,40]. The spectra of the r th order backward difference operator r 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 v r over the spaces 1 and c 0 . Moreover, the spectrum of the more generalized difference operator B v ( m ) over the space 1 and c 0 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 A = ( a n , k ) gives rise to a bounded linear operator L B ( c 0 ) if and only if lim n a n , k = 0 for each k N 0 and sup n N 0 k = 0 a n , k < . Further, L = sup n N 0 k = 0 a n , k .
Lemma 3.
([45], p. 59)). A linear operator L has a dense range ⇔ the adjoint L is 1-1.
Theorem 8.
The operator q 2 : c 0 c 0 is a linear operator and q 2 ( c 0 , c 0 ) = 2 ( 1 + q ) .
Proof. 
The result immediately follows from the fact that
2 0 q + 2 1 q + q 2 2 q = 2 ( 1 + q ) .
 □
Theorem 9.
Let q ( 0 , 1 ) . Then s ( q 2 , c 0 ) = { α C : 1 α 1 + 2 q } .
Proof. 
Let α C satisfying 1 α > 1 + 2 q . Since ( q 2 α I ) = ( u n , k ) is a triangle matrix, and therefore has an inverse ( q 2 α I ) 1 = ( v n , k ) defined by
v n , k = 1 1 α 0 0 0 1 + q ( 1 α ) 2 1 1 α 0 0 ( 1 + q ) 2 ( 1 α ) 3 q ( 1 α ) 2 1 + q ( 1 α ) 2 1 1 α 0 ( 1 + q ) 3 ( 1 α ) 4 2 q ( 1 + q ) ( 1 α ) 3 ( 1 + q ) 2 ( 1 α ) 3 q ( 1 α ) 2 1 + q ( 1 α ) 2 1 1 α .
Thus, for each k N 0 , the general expression for the entries v n , k may be computed as
v k , k = 1 1 α ; v k , k 1 = 1 + q ( 1 α ) 2 ; v k , k 2 = ( 1 + q ) 2 ( 1 α ) 3 q ( 1 α ) 2 ; v k , k 3 = ( 1 + q ) 3 ( 1 α ) 4 2 q ( 1 + q ) ( 1 α ) 3 ;
and so on.
Now we proceed to show that the matrix ( v n , k ) is bounded on c 0 , that is ( v n , k ) B ( c 0 ) .
Consider the following equality
S n = k = 0 | v n , k | = k = 0 n | v n , k | = | v n , n | + | v n , n 1 | + | v n , n 2 | + | v n , n 3 | + + | v n , 0 | = 1 1 α + 1 + q ( 1 α ) 2 + ( 1 + q ) 2 ( 1 α ) 3 q ( 1 α ) 2 + ( 1 + q ) 3 ( 1 α ) 4 2 q ( 1 + q ) ( 1 α ) 3 + . 1 1 + q { 1 + q 1 α + 1 + q 1 α 2 + 1 + q 1 α 3 + q 1 + q 1 + q 1 α 2 + 1 + q 1 α 4 + 2 q 1 + q 1 + q 1 α 3 + = 1 + q 1 α 5 + 3 q 1 + q 1 + q 1 α 4 + q 2 ( 1 + q ) 2 1 + q 1 α 3 } = 1 1 + q 1 + q 1 α + 1 + q 1 α 2 1 + q 1 + q + 1 + q 1 α 3 1 + 2 q 1 + q + q 2 ( 1 + q ) 2 + = 1 1 + q 1 + q 1 α + 1 + 2 q 1 + q 1 + q 1 α 2 + 1 + 2 q 1 + q 2 1 + q 1 α 3 + 1 | 1 α | 1 + 1 + 2 q 1 α + 1 + 2 q 1 α 2 + .
Since 1 + 2 q 1 α < 1 ,
lim n S n 1 | 1 α | 1 1 1 + 2 q 1 α = 1 | 1 α | | 1 + 2 q | < .
Since, lim n S n < and ( S n ) is a sequence of positive reals, we conclude that sup n S n < . Moreover, this is obvious from the assumption that lim n v n , k = 0 .
Thus, we realize that
(i)
The series S n = k = 0 n v n , k converges and sup n S n exists, for each n N 0 .
(ii)
lim n | v n , k | = 0 for each k N 0 .
Thus, ( v n , k ) B ( c 0 ) , whenever | 1 α | 1 + 2 q . This implies
s ( q 2 , c 0 ) { α C : 1 α 1 + 2 q } .
Conversely, we need to show that
{ α C : 1 α 1 + 2 q } s ( q 2 , c 0 ) .
We notice, when α = 1 , the operator q 2 α I is not invertible. Again, when α 1 and | 1 α | 1 + 2 q , we observe that ( S n ) is unbounded. This implies ( q 2 α I ) 1 B ( c 0 ) whenever | 1 α | 1 + 2 q . Hence,
{ α C : 1 α 1 + 2 q } s ( q 2 , c 0 ) .
Thus, using (17) and (18), we conclude that
s ( q 2 , c 0 ) = { α C : 1 α 1 + 2 q } .
 □
Theorem 10.
s p ( q 2 , c 0 ) = .
Proof. 
Suppose s p ( q 2 , c 0 ) . Then there exists at least one non-zero sequence z = ( z k ) c 0 with q 2 z = α z . This leads us to the following system of equations:
z 0 = α z 0 ( 1 + q ) z 0 + z 1 = α z 1 q z 0 ( 1 + q ) z 1 + z 2 = α z 2 q z 1 ( 1 + q ) z 2 + z 3 = α z 3 q z m 2 ( 1 + q ) z m 1 + z m = α z m .
Let z m be the first non-zero component of z , then we get α = 1 . Substituting α = 1 in the next equation, we get ( 1 + q ) z m + z m + 1 = z m + 1 . This implies z m = 0 , which is a contradiction to our assumption that z m is the first non-zero component of z . Thus, s p ( q 2 , c 0 ) = .  □
Theorem 11.
s p ( q 2 , , 1 ) = { α C : | 1 α | 1 + q } .
Proof. 
Let z = ( z k ) be a non-zero sequence. Then, the matrix equation q 2 , z = α z yields the following system of linear equations:
z 0 ( 1 + q ) z 1 + q z 2 = α z 0 , z 1 ( 1 + q ) z 2 + q z 3 = α z 1 , z 2 ( 1 + q ) z 3 + q z 4 = α z 2 , .
Using a simple calculation, we obtain
| z 0 | = 1 1 α ( 1 + q ) z 1 q z 2 , | z 1 | = 1 1 α ( 1 + q ) z 2 q z 3 , and so on .
In general,
| z k | = 1 1 α ( 1 + q ) z k + 1 q z k + 2 , k 0 .
Clearly, for each k N 0 , z = ( 0 , 0 , , z k , ( 1 + q ) z k + 1 , ( 1 + q ) z k + 1 , 0 , 0 , ) is an eigen vector corresponding to the eigen value α satisfying | 1 α | 1 + q . This is clear from the following statement
| z k | = 1 1 α ( 1 + q ) 2 z k + 1 q ( 1 + q ) z k + 1 , = 1 + q 1 α ( 1 + q ) z k + 1 q z k + 1 z k + 1 1 + q q = z k + 1 .
Thus, z k z k + 1 for each k N 0 . This implies that z 1 .
Conversely, it is trivial that if z 1 , then | 1 α | 1 + q .
This completes the proof. □
Theorem 12.
s r ( q 2 , c 0 ) = { α C : | 1 α | 1 + q } .
Proof. 
Let | 1 α | < 1 + q . It is easy to notice that the operator q 2 α I is invertible. Further, Theorem 11 implies that the operator q 2 , α I is not 1 1 for | 1 α | 1 + q . Hence it is immediate from Lemma 3 that R ( q 2 α I ) c 0 .
Thus, s r ( q 2 , c 0 ) = { α C : | 1 α | 1 + q } .  □
Theorem 13.
s c ( q 2 , c 0 ) = { α C : 1 + q < | 1 α | < 1 + 2 q } .
Proof. 
The result is immediate from Theorems 9, 10 and 12, and the relation s ( q 2 , c 0 ) = s p ( q 2 , c 0 ) s r ( q 2 , c 0 ) s c ( q 2 , c 0 ) .  □

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 c 0 ( q 2 ) and c ( q 2 ) defined as the domain of the second order quantum difference operator q 2 in the spaces c 0 and c , respectively. We further determine the spectrum, the point spectrum, the residual spectrum, and the continuous spectrum of the operator q 2 in the space c 0 . We observed that the operator q 2 reduces to 2 (cf. [15]) as q tends to 1 . 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 q 2 in the sequence space p of absolutely p-summable sequences and compute the spectrum of q 2 over p ( or 1 ) (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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Yaying, T.; Hazarika, B.; Chandra Tripathy, B.; Mursaleen, M. The Spectrum of Second Order Quantum Difference Operator. Symmetry 2022, 14, 557. https://0-doi-org.brum.beds.ac.uk/10.3390/sym14030557

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Yaying T, Hazarika B, Chandra Tripathy B, Mursaleen M. The Spectrum of Second Order Quantum Difference Operator. Symmetry. 2022; 14(3):557. https://0-doi-org.brum.beds.ac.uk/10.3390/sym14030557

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Yaying, Taja, Bipan Hazarika, Binod Chandra Tripathy, and Mohammad Mursaleen. 2022. "The Spectrum of Second Order Quantum Difference Operator" Symmetry 14, no. 3: 557. https://0-doi-org.brum.beds.ac.uk/10.3390/sym14030557

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