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Article

On Some Sequence Spaces via q-Pascal Matrix and Its Geometric Properties

1
Department of Mathematics, Dera Natung Government College, Itanagar 791113, India
2
Department of Mathematics, Gauhati University, Gauhati 781014, India
3
Department of Mathematics, Firat University, Elaziǧ 23119, Turkey
*
Author to whom correspondence should be addressed.
Symmetry 2023, 15(9), 1659; https://doi.org/10.3390/sym15091659
Submission received: 1 August 2023 / Revised: 20 August 2023 / Accepted: 22 August 2023 / Published: 28 August 2023
(This article belongs to the Special Issue Symmetry in Geometry and Topology: Theory and Application)

Abstract

:
We develop some new sequence spaces 𝓁 p ( P ( q ) ) and 𝓁 ( P ( q ) ) by using q-Pascal matrix P ( q ) . We discuss some topological properties of the newly defined spaces, obtain the Schauder basis for the space 𝓁 p ( P ( q ) ) and determine the Alpha-( α -), Beta-( β -) and Gamma-( γ -) duals of the newly defined spaces. We characterize a certain class ( 𝓁 p ( P ( q ) ) , X ) of infinite matrices, where X { 𝓁 , c , c 0 } . Furthermore, utilizing the proposed results, we characterize certain other classes of infinite matrices. We also examine some geometric properties, like the approximation property, Dunford–Pettis property, Hahn–Banach extension property, and Banach–Saks-type p property of the spaces 𝓁 p ( P ( q ) ) and 𝓁 ( P ( q ) ) .

1. Introduction and Preliminaries

The theory of the q-analogue, as the nomenclature suggests, deals with expanding the classical mathematical concept to a more generalized one by utilizing a new parameter q. The generalized expression, i.e., q-analogue reduces to the original expression as q 1 . Although the history of the q-analogue dates back to Euler, the true application of the q-analogue in developing q-differentiation and q-integration was architected by Jackson [1]. This concept of generalization is widely accepted by the mathematical community, and as a result, several applications of q-analogues in different branches of mathematics, like algebra, combinatorics, integro-differential equations, approximation theory, special functions, hypergeometric functions, etc., are witnessed in the literature. Indeed, the application of q-theory has also been spotted in the field of summability and sequence spaces. For instances, Demiriz and Şahin [2] and Yaying et al. [3] developed the q-analogue of the well-known Cesàro sequence spaces. Mursaleen et al. [4] discussed a regular summability method by using q-statistical convergence. They further obtained a condition for q-statistical convergent sequences to be Cesàro summable.
We now turn to certain basic definitions in q-theory:
Definition 1. 
The q-integer [ v ] q ( q ( 0 , 1 ) ) is defined by
[ v ] q = i = 0 v 1 q i , v N , 0 , v = 0 .
Here and onwards, N = { 1 , 2 , 3 , } and N 0 = N { 0 } . Apparently, [ v ] q = v as q 1 .
Definition 2. 
The notation n v q defined by
n v q = [ n ] q ! [ n v ] q ! [ v ] q ! , n v , 0 , n < v ,
is the natural q-analogue of the binomial coefficient n v . Here, [ v ] q ! = i = 1 v [ i ] q is the natural q-analogue of v ! .
Apparently, the relations 0 0 q = v 0 q = v v q = 1 and v v k q = v k q hold true for the q-binomial coefficient v k q . We recommend the monograph [5] for a basic idea of q-theory.

1.1. Sequence Space

The set ω of all real- or complex-valued sequences forms a vector space with the algebraic operations addition ( + ) and scalar multiplication ( · ) defined for the vectors y = ( y n ) , z = ( z n ) ω and real or complex scalar α by
y + z = ( y n ) + ( z n ) = ( y n + z n ) , α · y = α · ( y n ) = ( α y n ) .
Any vector subspace of ω is known as a sequence space. The sets 𝓁 p ( 0 < p < ) of all absolutely p-summable sequences, c 0 of all null sequences, c of all convergent sequences, and 𝓁 of all bounded sequences are some examples of basic sequence spaces. Let
b s = u = ( u n ) ω : sup n N 0 v = 0 n u v < ; c s = u = ( u n ) ω : lim n v = 0 n u v = β for some β C ;
be the spaces of all sequences with bounded partial sums and summable sequences, respectively.
A Banach sequence space with continuous coordinates is called a B K -space. The spaces 𝓁 p ( 1 p < ) and 𝓁 are B K -spaces normed by
y p = v = 0 | y v | p 1 / p and y = sup v N 0 | y v | ,
respectively. For 0 < p < 1 , the space 𝓁 p is a complete p-normed space due to p-norm y p = v = 0 | y v | p .
Let G = ( g n , v ) be any infinite matrix with real entries. Let G n = ( g n , v ) v = 0 , i.e., G n denotes the n th row of the matrix G . For any y = ( y v ) ω , the sequence
G y = { ( G y ) n } = v = 0 g n , v y v n N 0
is called G-transform of y , where we presume that the infinite sum exists for each n N 0 . Let X , Y ω . Then, G corresponds a matrix mapping from X to Y if G y Y for all y X . The family of all such matrices from X to Y is denoted by ( X , Y ) . Further, the domain X G of the matrix G in a sequence space X is given by X G = { y ω : G y X } and is a sequence space. In addition, if G is a triangle matrix and X is a B K -space, then X G is a B K -space normed by y X G = G y X . The monographs [6,7] are worth mentioning for detailed studies concerning the domain of notable triangles in classical sequence spaces. We also mention the papers [8,9] so that readers may glean brief insight into some interesting types of summable sequence spaces.
Lately, the scholarly publications have seen an emergence of the q-analogue of well-known sequence spaces. For instances, the domain X ( C ( q ) ) : = X C ( q ) for X { 𝓁 p , c 0 , c , 𝓁 } are discussed by Demiriz and Şahin [2] and Yaying et al. [3], defined via the q-Cesàro matrix C ( q ) = ( c n v q ) n , v N 0 given by
c n v q = q v [ n + 1 ] q ( 0 v n ) , 0 ( v > n ) .
Quite recently, some topological and geometric properties of the spaces ( 𝓁 p ) C ( q ) and ( 𝓁 ) C ( q ) have been studied by Yılmaz and Akdemir [10]. Alotaibi et al. [11] engineered the sequence spaces 𝓁 p ( q 2 ) : = ( 𝓁 p ) q 2 and 𝓁 ( q 2 ) : = ( 𝓁 ) q 2 of the operator q 2 in 𝓁 p and 𝓁 , respectively. We recall that a sequence space X exhibits symmetry (as defined in [12]) if y π ( n ) belongs to X for any ( y n ) in X, where π ( n ) represents a permutation on N 0 . Alotaibi et al. [11] proved that the space 𝓁 ( q 2 ) does not exhibit symmetricity.
The theory of q-sequence spaces is further strengthened by the introduction of q-Catalan sequence space X C ( q ) = X C ( q ) by Yaying et al. [13] for X { c , c 0 } , and C ( q ) = c ˜ n v q n , v N 0 is defined by
c ˜ n v ( q ) = q v c v ( q ) c n v ( q ) c n + 1 ( q ) , 0 v n , 0 , v > n ,
where c ( q ) = ( c v ( q ) ) v N 0 is a sequence of q-Catalan numbers.

1.2. Pascal Matrix and Motivation

The Pascal matrix P = ( p ˜ n , v ) n , v N 0 is defined by (see [14,15])
p ˜ n , v = n n v , 0 v n , 0 , v > n .
The matrix domains c 0 ( P ) = ( c 0 ) P and c ( P ) = c P were investigated by Polat [16]. These domains were further generalized by Aydın and Polat [14] by introducing Pascal difference sequence spaces c 0 ( P ) = ( c 0 ) P and c ( P ) = c P , where ∇ is the first-order backward difference operator. Yaying and Başar [17] recently studied the sequence space X ( G ) , where G is the product of the Lambda ( Λ ) matrix and Pascal matrix, i.e., G = Λ P and X is any of the spaces 𝓁 p , c 0 , c or 𝓁 .
Let q ( 0 , 1 ) . Then, the q-Pascal matrix P ( q ) = p ˜ n , v q is defined by
p ˜ n , v q = n v q , 0 v n , 0 , v > n
for all n , v N 0 (see [18]). By using the q-Pascal matrix P ( q ) , Yaying et al. [19] defined q-Pascal sequence spaces c 0 ( P ( q ) ) = ( c 0 ) P ( q ) and c ( P ( q ) ) = c P ( q ) . Further, the authors informed that
v = 0 n p ˜ n , v q = G n ( q ) and lim n p ˜ n , v q = 1 [ v ] q ! ( 1 q ) v ,
where G n ( q ) is the n th -Galois number defined by the recurrence relation G n + 1 ( q ) = 2 G n ( q ) + ( q n 1 ) G n 1 ( q ) with G 0 ( q ) = 1 and G 1 ( q ) = 2 (see [5] for more details). Apparently, the matrix P ( q ) is a conservative matrix.
Inspired by the above studies, we develop q-Pascal sequence spaces 𝓁 p ( P ( q ) ) and 𝓁 ( P ( q ) ) and explore several properties of these spaces.

2. The Spaces 𝓁 p ( P ( q ) ) and 𝓁 ( P ( q ) )

Define the spaces 𝓁 p ( P ( q ) ) and 𝓁 ( P ( q ) ) by
𝓁 p ( P ( q ) ) : = y = ( y n ) ω : n = 0 v = 0 n n v q y v p < ; 𝓁 ( P ( q ) ) : = y = ( y n ) ω : sup n N 0 v = 0 n n v q y v < ;
Here, the sequence
z = ( z n ) = v = 0 n n v q y v
is termed the P ( q ) -transform of y = ( y n ) . Thus, an equivalent definition of the spaces 𝓁 p ( P ( q ) ) and 𝓁 ( P ( q ) ) may be given as
𝓁 p ( P ( q ) ) = ( 𝓁 p ) P ( q ) and 𝓁 ( P ( q ) ) = ( 𝓁 ) P ( q ) .
It is easy to observe that when q 1 , the spaces 𝓁 p ( P ( q ) ) and 𝓁 ( P ( q ) ) are reduced to the spaces 𝓁 p ( P ) = ( 𝓁 p ) P and 𝓁 ( P ) = ( 𝓁 ) P .
Definition 3 
([19]). The inverse of the q-Pascal matrix P ( q ) is given by the matrix Q ( q ) = p ˜ q n , v 1 n , v N 0 as follows:
p ˜ q n , v 1 = ( 1 ) n v q n v 2 n v q , 0 v n , 0 , v > n .
The Q ( q ) -transform or { P ( q ) } 1 -transform of the sequence z = ( z n ) is given by the sequence y = ( y n ) , where
y n = v = 0 n ( 1 ) n v q n v 2 n v q z v
for each n N 0 . Throughout the article, unless stated otherwise, we keep in mind that the sequence z is the P ( q ) -transform of the sequence y, or equivalently, the sequence y is the { P ( q ) } 1 -transform of the sequence z.
Theorem 1. 
Each of the following statements holds true:
1. 
The space 𝓁 p ( P ( q ) ) is a complete p-normed space for 0 < p < 1 due to the p-norm
y 𝓁 p ( P ( q ) ) = P ( q ) y p = n = 0 v = 0 n n v q y v p .
2. 
The space 𝓁 p ( P ( q ) ) is a B K -space for 1 p < normed by
y 𝓁 p ( P ( q ) ) = P ( q ) y p = n = 0 v = 0 n n v q y v p 1 / p .
3. 
The space 𝓁 ( P ( q ) ) is a B K -space normed by
y 𝓁 ( P ( q ) ) = P ( q ) y = sup n N 0 v = 0 n n v q y v .
Proof. 
It is known that the spaces 𝓁 p for 1 < p < and 𝓁 are B K -spaces equipped by their natural norms defined in (1) and P ( q ) is a triangle. Thus, Parts (2) and (3) follow immediately by using Wilansky’s work [20] (Theorem 4.3.2).
A similar argument holds for the complete p-normed space 𝓁 p ( P ( q ) ) ( 0 < p 1 ) .
Let X denote either the space 𝓁 p or 𝓁 . Consider the mapping L defined by
L : X ( P ( q ) ) X y L y = z = P ( q ) y .
It is noted that P ( q ) is the matrix representation of the operator L . Additionally, P ( q ) is a triangle. As a result of this fact, the mapping L is the norm or p-norm, preserving the linear bijection. Thus, X ( P ( q ) ) is linearly isomorphic to X . That is, 𝓁 p ( P ( q ) ) 𝓁 p and 𝓁 ( P ( q ) ) 𝓁 .
Definition 4. 
A sequence s = ( s k ) ( X , · ) is termed a Schauder basis of X if for each y X , there corresponds a unique sequence of scalars ( α k ) such that
lim n y v = 0 n α k s k = 0 .
It is known from Theorem 2.3 of Jarrah and Malkowsky [21] that if G is a triangle matrix, then a normed linear space X G has a basis iff X has a basis. As a result of this fact, we have the following corollary:
Corollary 1. 
Define the sequence s ( v ) ( q ) = ( s n ( v ) ( q ) ) for each fixed v N 0 by
s n ( v ) ( q ) = ( 1 ) n v q n v 2 n v q , 0 v n , 0 , v > n .
Then, s ( 0 ) ( q ) , s ( 1 ) ( q ) , s ( 2 ) ( q ) , is the basis of the space 𝓁 p ( P ( q ) ) and each y 𝓁 p ( P ( q ) ) is uniquely given by
y = v = 0 z k s ( k ) ( q ) .
Remark 1. 
There is no basis for the space 𝓁 ( P ( q ) ) .

3. Some Duals of the Spaces 𝓁 p ( P ( q ) ) and 𝓁 ( P ( q ) )

Definition 5. 
The α-, β- and γ-duals X α , X β and X γ of any X ω are defined by
X α : = { c = ( c n ) ω : c y = ( c n y n ) 𝓁 1 for all y X } , X β : = { c = ( c n ) ω : c y = ( c n y n ) c s for all y X } a n d X γ : = { c = ( c n ) ω : c y = ( c n y n ) b s for all y X } ,
respectively.
Let N denote the family of all finite subsets of N 0 , and p be the complement of p, i.e., 1 / p + 1 / p = 1 . We recall certain lemmas that are important for determining the duals.
Lemma 1 
([22,23,24]). Let G = ( g n , v ) be an infinite matrix. Then, each of the following statements holds true:
(1) 
G = ( g n , v ) ( 𝓁 , 𝓁 ) iff
sup n N 0 v = 0 g n , v < .
(2) 
G = ( g n , v ) ( 𝓁 , c ) iff
g v C lim n g n , v = g v for   all v N 0 ,
lim n v = 0 g n , v = v = 0 lim n g n , v .
(3) 
G = ( g n , v ) ( 𝓁 , 𝓁 1 ) iff
sup N N v = 0 n N g n , v < .
(4) 
G = ( g n , v ) ( 𝓁 p , 𝓁 ) iff
sup n N 0 v = 0 | g n , v | p < , ( 1 < p < ) .
sup n , v N 0 | g n , v | p < , ( 0 < p 1 ) .
(5) 
(a)  For 1 < p < , G = ( g n , v ) ( 𝓁 p , c ) iff (4) and (7) hold.
(b)  For 0 < p 1 , G = ( g n , v ) ( 𝓁 p , c ) iff (4) and (8) hold.
(6) 
G = ( g n , v ) ( 𝓁 p , 𝓁 1 ) iff
sup N N sup v N 0 n N g n , v p < , ( 0 < p 1 ) .
sup N N v = 0 n N g n , v p < , ( 1 < p < ) .
Theorem 2. 
Define the sets λ 1 , λ 2 , and λ 3 by
λ 1 : = c = ( c n ) ω : sup N N sup v N 0 n N ( 1 ) n v q n v 2 n v q c n p < , ( 0 < p 1 ) , λ 2 : = c = ( c n ) ω : sup N N v = 0 n N ( 1 ) n v q n v 2 n v q c n p < , ( 1 < p < ) , λ 3 : = c = ( c n ) ω : sup N N v = 0 n N ( 1 ) n v q n v 2 n v q c n < .
Then,
(i) 
[ 𝓁 p ( P ( q ) ) ] α = λ 1 , 0 < p 1 , λ 2 , 1 < p < .
(ii) 
𝓁 ( P ( q ) ) α = λ 3 .
Proof. 
Consider the triangle D = ( d n , v ) n , v N 0 defined by
d n , v = ( 1 ) n v q n v 2 n v q c n , 0 v n , 0 , n > v .
Then, the following relation holds true:
c n y n = v = 0 n ( 1 ) n v q n v 2 n v q c n z v = ( D z ) n , ( n N 0 ) .
This clearly indicates that c y = ( c n y n ) 𝓁 1 whenever y 𝓁 p ( P ( q ) ) iff D z 𝓁 1 whenever z 𝓁 p . This means that c = ( c n ) 𝓁 p ( P ( q ) ) α iff D ( 𝓁 p , 𝓁 1 ) . As a result of this fact and together with Lemma 1/(6), we obtain that
[ 𝓁 p ( P ( q ) ) ] α = λ 1 , 0 < p 1 , λ 2 , 1 < p < .
The α -dual of 𝓁 ( P ( q ) ) is given in a similar manner by utilizing Lemma 1/(3) in place of Lemma 1/(6). This ends the proof. □
Theorem 3. 
Define the sets μ i ( i = 1 , 2 , 3 , 4 ) by
μ 1 = c = ( c n ) ω : lim n u = v n ( 1 ) u v q u v 2 u v q c u exists   for   each   v N 0 , μ 2 = c = ( c n ) ω : sup n , v N 0 u = v n ( 1 ) u v q u v 2 u v q c u p < , ( 0 < p 1 ) , μ 3 = c = ( c n ) ω : sup n N 0 v = 0 n u = v n ( 1 ) u v q u v 2 u v q c u p < , μ 4 = c = ( c n ) ω : lim n v = 0 u = v n ( 1 ) u v q u v 2 u v q c u = v = 0 lim n u = v n ( 1 ) u v q u v 2 u v q c u .
Then,
(i) 
[ 𝓁 p ( P ( q ) ) ] β = μ 1 μ 2 , 0 < p 1 , μ 1 μ 3 , 1 < p < .
(ii) 
𝓁 P ( q ) β = λ 3 μ 4 .
Proof. 
Consider the triangle E = ( e n , v ) n , v N 0 defined by
e n , v = u = v n ( 1 ) n v q u v 2 u v q c u , 0 v n , 0 , v > n .
Then, the following relation holds true:
v = 0 n c v y v = v = 0 n u = 0 v ( 1 ) v u q v u 2 v u q z u c v = v = 0 n u = v n ( 1 ) u v q u v 2 u v q c u z v = ( E z ) n
for each n N 0 . This indicates that c y = ( c n y n ) c s whenever y = ( y n ) 𝓁 p ( P ( q ) ) iff E z c whenever z = ( z n ) 𝓁 p , which means that c = ( c n ) 𝓁 p ( P ( q ) ) β iff E ( 𝓁 p , c ) . Thus, by using Lemma 1/(5), one obtains that
[ 𝓁 p ( P ( q ) ) ] β = μ 1 μ 2 , 0 < p 1 , μ 1 μ 3 , 1 < p < .
The β -dual of 𝓁 ( P ( q ) ) is obtained in a similar manner by utilizing Lemma 1/(1) in place of Lemma 1/(5) in the above proof. □
By proceeding in the way similar to the above given proof of the Beta-dual, we observe that the sequence c y = ( c n y n ) b s whenever y = ( y n ) 𝓁 p ( P ( q ) ) or 𝓁 ( P ( q ) ) iff E z 𝓁 whenever z = ( z n ) 𝓁 p or 𝓁 , which means that c = ( c n ) 𝓁 p ( P ( q ) ) β or 𝓁 ( P ( q ) ) β iff E ( 𝓁 p , 𝓁 ) or ( 𝓁 , 𝓁 ) . As a consequence of this fact and together with Lemma 1/(4) and Lemma 1/(1), the γ -dual of the spaces 𝓁 p ( P ( q ) ) and 𝓁 ( P ( q ) ) may be given as follows:
Theorem 4. 
The given results hold true:
(i) 
[ 𝓁 p ( P ( q ) ) ] γ = μ 2 , 0 < p 1 , μ 3 , 1 < p < .
(ii) 
𝓁 ( P ( q ) ) γ = μ 3 with p = 1 .

4. Matrix Transformation on the Space 𝓁 p ( P ( q ) )

In this section, certain classes of infinite matrices ( 𝓁 p ( P ( q ) ) , 𝓁 ) , ( 𝓁 p ( P ( q ) ) , c ) and ( 𝓁 p ( P ( q ) ) , c 0 ) are characterized. As a consequence, we also give a characterization of the other classes of infinite matrices by means of a theorem.
For all n , v N 0 , define the matrix G ˜ = g ˜ n , v by
g ˜ n , v = u = v ( 1 ) u v q u v 2 u v q g n u .
Let G = ( g n , v ) n , v N 0 be an infinite matrix over the field of complex numbers.
Theorem 5. 
Let 1 < p < . Then, G = ( g n , v ) ( 𝓁 p ( P ( q ) ) , 𝓁 ) iff both of the given conditions hold true:
G n = g n , v v N 0 μ 3 , for each n N 0 ;
sup n N 0 v = 0 g ˜ n , v p < .
Proof. 
Let 1 < p < and G ( 𝓁 p ( P ( q ) ) , 𝓁 ) . Then, for all y 𝓁 p ( P ( q ) ) , P ( q ) y exists and is contained in the space 𝓁 . This implies that G n 𝓁 p ( P ( q ) ) β , ( n N 0 ) , which proves the necessity of the relation (11).
Now, consider the following equality for all n N 0 , obtained by using the relation (2)
v = 0 g n , v y v = v = 0 g n , v u = 0 v ( 1 ) v u q v u 2 v u q z u = v = 0 g n , v u = v ( 1 ) u v q u v 2 u v q g n , u z v = v = 0 g ˜ n , v z v .
We recall that the matrix mappings between B K -spaces are continuous and the fact that the spaces 𝓁 p ( P ( q ) ) and 𝓁 are B K -spaces. It follows that there exists some M > 0 such that
G y 𝓁 M y 𝓁 p ( P ( q ) ) y 𝓁 p ( P ( q ) ) .
Thus, by using Hölder’s inequality together with the relation (13), we obtain that
G y 𝓁 z 𝓁 p = sup n N 0 v = 0 g ˜ n , v z v z 𝓁 p sup n N 0 v = 0 g ˜ n , v p 1 / p v = 0 z v p 1 / p z 𝓁 p = sup n N 0 v = 0 g ˜ n , v p 1 / p <
as desired.
Conversely, assume that the given conditions hold true and choose any y = ( y v ) 𝓁 p ( P ( q ) ) . The condition (11) means that the sequence G n 𝓁 p ( P ( q ) ) β , which implies that G y exists. We recall that the space 𝓁 p ( P ( q ) ) is linearly isomorphic to the space 𝓁 p . In view of this fact, we may write that the sequence z = ( z n ) 𝓁 p . We again apply Hölder’s inequality to the relation (13) and obtain that
G y 𝓁 = sup n N 0 v = 0 g ˜ n , v z v sup n N 0 v = 0 g ˜ n , v p 1 / p v = 0 z v p 1 / p < .
This proves that G y 𝓁 for all y 𝓁 p ( P ( q ) ) . That is, G ( 𝓁 p ( P ( q ) ) , 𝓁 ) .
Theorem 6. 
Let 1 < p < . Then, G ( 𝓁 p ( P ( q ) ) , c ) iff (11) and (12) hold true and
α v C lim n g ˜ n , v = α v , ( v N 0 ) .
Proof. 
Let G ( 𝓁 p ( P ( q ) ) , c ) . Then, for all y 𝓁 p ( P ( q ) ) , the sequence G y exists and belongs to the space c . Since c 𝓁 , the necessity of the conditions (11) and (12) follows immediately from Theorem 5.
Let e ( v ) be a sequence with 1 in the v th position and 0 elsewhere. Then, for y = Q ( q ) e ( v ) , we obtain by using the relation (13) that
G y = G Q ( q ) e ( v ) = G ˜ P ( q ) Q ( q ) e ( v ) = G ˜ e ( v ) = ( g ˜ n , v ) n N 0
for each fixed v N 0 . This shows the necessity of the condition (14).
Conversely, assume that the conditions (11), (12) and (14) hold true, and choose any y = ( y n ) 𝓁 p ( P ( q ) ) . Then, G n = ( g n , v ) v N 0 𝓁 p ( P ( q ) ) β for each n N 0 , and so G y exists. Therefore, we again obtain the relation (13). Thus, the conditions (4) and (7) are satisfied by the matrix G ˜ , that is to say that G ˜ z c . Thus, by using (13), we conclude that G y c as desired. □
Theorem 7. 
Let 1 < p < . Then, G ( 𝓁 p ( P ( q ) ) , c 0 ) iff (11) and (12) hold true, and (14) also holds true with α v = 0 for all v N 0 .
Proof. 
We leave the proof as it follows immediately from Theorem 6. □
Theorem 8. 
Let X ω , μ 𝓁 , c , c 0 and G be any infinite matrix over the complex field C . Let R be the product matrix of infinite matrices P ( q ) and G, i.e., R = P ( q ) G = ( r n v ) is given by
r n v = u = 0 n n u q g u v
for all n , v N 0 . Then, G ( X , Y P ( q ) ) iff R ( X , Y ) .
Proof. 
Choose any sequence y = ( y n ) X . Then, it immediately follows from the relation (15) that
P ( q ) ( G y ) = ( P ( q ) G ) y = R y .
As a result, one has G y Y P ( q ) whenever y X iff R y Y whenever y X , which means that G ( X , Y P ( q ) ) iff R ( X , Y ) .
The following corollaries are some of the many consequences of Theorem 8.
Corollary 2. 
Let G = ( g n , v ) be an infinite matrix over the complex field C , R = ( r n , v ) is defined as in (15), and the spaces c 0 ( P ( q ) ) and c ( P ( q ) ) are defined as in the work of Yaying et al. [19]. Then, each of the following assertions holds true:
1. 
G = ( g n , v ) ( 𝓁 p ( P ( q ) ) , 𝓁 ( P ( q ) ) ) iff each of the conditions (11) and (12) holds true with r n , v in place of g n , v for all n , v N 0 .
2. 
G = ( g n , v ) ( 𝓁 p ( P ( q ) ) , c ( P ( q ) ) ) iff each of the conditions (11), (12), and (14) holds true with r n , v in place of g n , v for all n , v N 0 .
3. 
G = ( g n , v ) ( 𝓁 p ( P ( q ) ) , c 0 ( P ( q ) ) ) iff each of the conditions (11) and (12) holds true, and the condition (14) also holds true with α v = 0 for all v N 0 and r n , v in place of g n , v for all n , v N 0 .
Corollary 3. 
Let G = ( g n , v ) be an infinite matrix over the complex field C , g ( n , v ) = u = 0 n g u , v for all n , v N 0 , and c s 0 is the space consisting of series converging to zero. Then, each of the following assertions holds true:
1. 
G = ( g n , v ) ( 𝓁 p ( P ( q ) ) , b s ) iff each of the conditions (11) and (12) holds true with g ( n , v ) in place of g n , v for all n , v N 0 .
2. 
G = ( g n , v ) ( 𝓁 p ( P ( q ) ) , c s ) iff each of the conditions (11), (12) and (14) holds true with g ( n , v ) in place of g n , v for all n , v N 0 .
3. 
G = ( g n , v ) ( 𝓁 p ( P ( q ) ) , c s 0 ) iff each of the conditions (11) and (12) holds true, and the condition (14) also holds true with α v = 0 for all v N 0 and g ( n , v ) in place of g n , v for all n , v N 0 .
Consider an increasing sequence λ = ( λ n ) of positive real numbers with λ n as n . Then, the matrix Λ = ( λ n , v ) is defined by (see [25])
λ n , v = λ v λ v 1 λ n , 0 v n , 0 , v > n ,
for n , v N 0 . Now, in view of Theorem 8, define the matrix Λ ˜ = ( λ ˜ n , v ) by
λ ˜ n , v = u = 0 n λ u λ u 1 λ n g u , v
for all n , v N 0 .
Corollary 4. 
Let G = ( g n , v ) be an infinite matrix over the complex field C and the spaces 𝓁 λ , c λ and c 0 λ are defined as in [25]. Then, each of the following assertions holds true:
1. 
G = ( g n , v ) ( 𝓁 p ( P ( q ) ) , 𝓁 λ ) iff each of the conditions (11) and (12) holds true with λ ˜ n , v in place of g n , v for all n , v N 0 .
2. 
G = ( g n , v ) ( 𝓁 p ( P ( q ) ) , c λ ) iff each of the conditions (11), (12) and (14) holds true with λ ˜ n , v in place of g n , v for all n , v N 0 .
3. 
G = ( g n , v ) ( 𝓁 p ( P ( q ) ) , c 0 λ ) iff each of the conditions (11) and (12) holds true, and the condition (14) also holds true with α v = 0 for all v N 0 and λ ˜ n , v in place of g n , v for all n , v N 0 .

5. Some Geometric Properties of the Spaces 𝓁 p ( P ( q ) ) and 𝓁 ( P ( q ) )

In this section, we examine some geometric properties like the approximation property, Dunford–Pettis property, Hahn–Banach extension property and Banach–Saks-type p property of the spaces 𝓁 p ( P ( q ) ) ( 1 p < ) and 𝓁 ( P ( q ) ) .
Let X and Y be two Banach spaces. Then, a linear operator L : X Y is compact if whenever Q is a bounded subset of X , L ( Q ) is a relatively compact subset of Y [26] (Definition 3.4.1). Throughout, we use the following notation:
C ( X , Y ) : = L : X Y such that L is a compact operator ; B ( X , Y ) : = L : X Y such that L is a bounded linear operator .
Apparently, C ( X , Y ) is a closed subspace of B ( X , Y ) , for any two Banach spaces X and Y.
We recall that an operator between any two Banach spaces is said to have a finite rank if the range of the operator is finitely dimensional. Moreover, the range of a compact linear operator between any two Banach spaces is closed iff the operator has a finite rank [26] (Proposition 3.4.6).
Definition 6 
([26] (Definition 3.4.26)). A Banach space X is said to have approximation property if the set of finite rank members of B ( Y , X ) is dense in C ( Y , X ) for any Banach space Y.
Theorem 9 
([26] (Theorem 3.4.27)). The space 𝓁 p ( 1 p < ) has the approximation property.
Definition 7 
([26] (Definition 3.5.1)). Let X and Y be any two Banach spaces. Then, a linear operator L : X Y is said to be weakly compact if whenever Q is a bounded subset of X , L ( Q ) is a relatively weakly compact subset of Y.
Definition 8 
([26] (Definition 3.5.15)). Let X and Y be any two Banach spaces. Then, a linear operator L : X Y is said to be completely continuous (or Dunford–Pettis operator) if L ( Q ) is a compact subset of Y whenever Q is a weakly compact subset of X. In this case, X is said to have a Dunford–Pettis property (in short, D-P property) if each weakly compact linear operator from X to Y is completely continuous.
Lemma 2 
([26] (Exercise 3.50, p. 339)). Let L be a continuous linear operator from a normed space X to a normed space Y . Then, L ( Q ) is weakly compact in Y whenever Q is weakly compact in X .
Theorem 10 
([26] (Art 1.9.6, p. 75) (Hahn–Banach extension theorem)). Let V be any subspace of a normed linear space X and L 0 be a bounded linear functional on V. Then, L 0 may be extended to a bounded linear functional L on X such that L 0 = L .
Theorem 11 
([27]). Let V be a linear subspace of a Banach space X and L 0 : V 𝓁 be a bounded linear operator. Then, L 0 may be extended to a bounded linear operator L : X 𝓁 such that L 0 = L .
In this case, the space 𝓁 is said to possess the Hahn–Banach extension property.
Definition 9 
([28]). A Banach space X is said to possess a weak Banach–Saks property if every weakly null sequence ( y n ) X contains a subsequence ( y n v ) whose Cesàro transformation is norm-convergent to zero, that is,
lim n 1 n + 1 v = 0 n y n v = 0 .
Additionally, X is said to possess the Banach–Saks property if every bounded sequence in X contains a subsequence whose Cesàro transformation is norm-convergent in X.
Definition 10 
([29]). A Banach space X is said to possess Banach–Saks-type p if every weakly null sequence ( y n ) has a subsequence ( y n v ) such that, for some C > 0 ,
v = 0 n y n v C ( n + 1 ) 1 / p ,
for all n N 0 . .
Now we turn to the main results of this section:
Theorem 12. 
For 1 p < , the space 𝓁 p ( P ( q ) ) has the approximation property.
Proof. 
Let L : X 𝓁 p ( P ( q ) ) be a compact linear operator for any Banach space X . This means that for each bounded sequence y = ( y n ) X , the sequence L y n has a convergent sub-sequence L y n v in 𝓁 p ( P ( q ) ) . That is,
L y n u L y n v 𝓁 p ( P ( q ) ) p = L y n u y n v 𝓁 p ( P ( q ) ) p = P ( q ) L y n u y n v 𝓁 p p 0
as u , v . Thus, the operator P ( q ) L : X 𝓁 p is well defined and compact. Now, we turn our attention to the space 𝓁 p that has the approximation property. It follows that there exists a sequence ( T n ) of finite rank bounded linear operators from X to 𝓁 p such that
P ( q ) L T n 0
as n . As a consequence of this fact, we realize that the sequence P ( q ) 1 T n of bounded linear operators from X to 𝓁 p ( P ( q ) ) is the required sequence of a finite rank. Additionally,
L P ( q ) 1 T n = sup y = 1 L P ( q ) 1 T n y 𝓁 p ( P ( q ) ) p = sup y = 1 L y P ( q ) 1 T n y 𝓁 p ( P ( q ) ) p = sup y = 1 P ( q ) L y T n y 𝓁 p p = sup y = 1 P ( q ) L T n y 𝓁 p p 0 as n .
This completes the proof. □
Theorem 13. 
The space 𝓁 1 ( P ( q ) ) has the D-P property.
Proof. 
Let L be a weakly compact operator from the Banach space 𝓁 1 ( P ( q ) ) to a space X . Then, L { P ( q ) } 1 is a bounded linear operator from 𝓁 1 to X . We intend to show that L is completely continuous.
Let Q be a bounded set in 𝓁 1 . Then, it follows that { P ( q ) } 1 Q is a bounded set in 𝓁 1 ( P ( q ) ) . Since L is weakly compact, it follows that the set
L { P ( q ) } 1 Q = L { P ( q ) } 1 Q
is relatively weakly compact in X . Therefore, we observe that L { P ( q ) } 1 is a weakly compact operator from 𝓁 1 to X. Now, since the space 𝓁 1 has the D-P property, it follows that the operator L { P ( q ) } 1 is completely continuous. Suppose that C is a weakly compact subset of 𝓁 1 ( P ( q ) ) . Then, it follows from Lemma 2 that P ( q ) C is a weakly compact subset of 𝓁 1 . Since L { P ( q ) } 1 is completely continuous, therefore L { P ( q ) } 1 ( P ( q ) C ) = L ( C ) is a compact set in Y . This concludes that L is completely continuous as desired. □
In the next result, we show that the space 𝓁 ( P ( q ) ) has the Hahn–Banach extension property.
Theorem 14. 
Let V be a linear subspace of a Banach space X and L 0 B ( V , 𝓁 ( P ( q ) ) ) . Then, L 0 may be extended to a bounded linear operator L B ( X , 𝓁 ( P ( q ) ) ) such that L 0 = L .
Proof. 
Let L 0 B ( V , 𝓁 ( P ( q ) ) ) . Then, P ( q ) L 0 B ( V , 𝓁 ) . Now, since the space 𝓁 has the Hahn–Banach extension property by Theorem 11, it follows that the operator P ( q ) L 0 may be extended to the operator T B ( X , 𝓁 ) such that P ( q ) L 0 = T . Choose the operator L = { P ( q ) } 1 T . Then, it is clear that L B ( X , 𝓁 ( P ( q ) ) ) . Further, for any y V , we observe that
L y = { P ( q ) } 1 T y = { P ( q ) } 1 ( T y ) = { P ( q ) } 1 ( P ( q ) L 0 ) y = L 0 y .
Additionally
L = { P ( q ) } 1 T = { P ( q ) } 1 P ( q ) L 0 = L 0 ,
as desired. □
Theorem 15. 
The space 𝓁 p ( P ( q ) ) possesses the Banach–Saks-type p property.
Proof. 
Let ( ϵ n ) be a sequence of positive reals with n = 0 ϵ n 1 2 . Let ( y n ) be any weakly null sequence in B ( 𝓁 ( P ( q ) ) ) . Choose u 0 = y 0 = 0 and u 1 = y n 1 = y 1 . Then, there exists c 1 N 0 such that
k = c 1 + 1 u 1 ( k ) e ( k ) 𝓁 p ( P ( q ) ) < ϵ 1 .
As per the hypothesis, ( y n ) is a weakly null sequence. This means that y n 0 coordinate wise. This implies the existence of an n 2 N 0 such that
k = 0 c 1 y n ( k ) e ( k ) 𝓁 p ( P ( q ) ) < ϵ 1 ,
when n n 2 . Again, choose u 2 = y n 2 . Then, there exists c 2 > c 1 such that
k = c 2 + 1 u 2 ( k ) e ( k ) 𝓁 p ( P ( q ) ) < ϵ 2 .
Since y n 0 coordinate wise, it follows that there exists n 3 > n 2 such that
k = 0 c 2 y n ( k ) e ( k ) 𝓁 p ( P ( q ) ) < ϵ 2 ,
when n n 3 .
Proceeding in a similar way to the above technique will yield two increasing sequences ( n k ) and ( c k ) such that
k = 0 c m y n ( k ) e ( k ) 𝓁 p ( P ( q ) ) < ϵ m ,
for all n n k + 1 and
k = c m + 1 u m ( k ) e ( k ) 𝓁 p ( P ( q ) ) < ϵ m .
where u m = y n m . Thus
m = 0 n u m 𝓁 p ( P ( q ) ) = m = 0 n k = 0 c m 1 u m ( k ) e ( k ) + k = c m 1 + 1 c m u m ( k ) e ( k ) + k = c m u m ( k ) e ( k ) 𝓁 p ( P ( q ) ) m = 0 n k = c m 1 + 1 c m u m ( k ) e ( k ) 𝓁 p ( P ( q ) ) + 2 m = 0 n ϵ m .
Now, since y n B ( 𝓁 p ( P ( q ) ) ) and y 𝓁 p ( P ( q ) ) = n = 0 k = 0 n p ˜ n , k y k , it follows that y 𝓁 p ( P ( q ) ) 1 . Therefore, we have
m = 0 n k = c m 1 + 1 c m u m ( k ) e ( k ) 𝓁 p ( P ( q ) ) p = m = 0 n k = c m 1 + 1 c m v = 0 k p ˜ k , v u m ( v ) p m = 0 n k = 0 v = 0 k p ˜ k , v u m ( v ) p n + 1 .
Now, using the fact that 1 ( n + 1 ) 1 / p for all n N 0 and 1 p < , we obtain
m = 0 n u m 𝓁 p ( P ( q ) ) ( n + 1 ) 1 / p + 1 2 ( n + 1 ) 1 / p .
Thus, we conclude that 𝓁 p ( P ( q ) ) is of the Banach–Saks-type p .

6. Conclusions

In this article, we progressed the exploration pertaining to the advancement of “sequence spaces via specific q-matrices”. This advancement was accomplished through the utilization of the q-Pascal matrix P ( q ) . Additionally, we introduced and conducted an analysis on the sequence spaces 𝓁 p ( P ( q ) ) and 𝓁 ( P ( q ) ) . Furthermore, we examined a set of outcomes related to the Schauder basis, the α -, β -, and γ -duals, along with matrix transformations related to these spaces. Within the concluding section, a comprehensive investigation into various geometric properties, namely the approximation property, Dunford–Pettis property, Hahn–Banach extension property, and the Banach–Saks-type p property, was undertaken for the spaces 𝓁 p ( P ( q ) ) and 𝓁 ( P ( q ) ) .
As a prospect for future research, the exploration of the domain X P ( q ) of the q-Pascal matrix P ( q ) in Maddox’s space X { 𝓁 ( p ) , c 0 ( p ) , c ( p ) , 𝓁 ( p ) } holds promise.

Author Contributions

All the authors contributed equally to the design and the concept of the study. The first draft of the article was prepared by T.Y., B.H. and M.E. contributed to editing, revising and making significant changes in the article. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

No data and materials are associated with this research.

Acknowledgments

The authors extend their sincere gratitude to the anonymous reviewers for providing corrections and constructive suggestions that have enhanced the paper’s presentation.

Conflicts of Interest

The authors declare no conflict of interest.

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Yaying, T.; Hazarika, B.; Et, M. On Some Sequence Spaces via q-Pascal Matrix and Its Geometric Properties. Symmetry 2023, 15, 1659. https://doi.org/10.3390/sym15091659

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Yaying T, Hazarika B, Et M. On Some Sequence Spaces via q-Pascal Matrix and Its Geometric Properties. Symmetry. 2023; 15(9):1659. https://doi.org/10.3390/sym15091659

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Yaying, Taja, Bipan Hazarika, and Mikail Et. 2023. "On Some Sequence Spaces via q-Pascal Matrix and Its Geometric Properties" Symmetry 15, no. 9: 1659. https://doi.org/10.3390/sym15091659

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Yaying, T., Hazarika, B., & Et, M. (2023). On Some Sequence Spaces via q-Pascal Matrix and Its Geometric Properties. Symmetry, 15(9), 1659. https://doi.org/10.3390/sym15091659

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