1.
Introduction and preliminaries
Let C denotes the complex field and Z+0=Z+∪{0}, where Z+ represents the set of all positive integers. In the entirety of this article, by ω, we mean the set
The addition and scalar multiplication operations of sequences in ω are defined by
for all u=(um),v=(vm)∈ω, and λ∈C. Under these operations, the set ω forms a linear space. Any linear subspace of ω is known as a sequence space. In the literature, several types of sequence spaces have been witnessed. Among these, the spaces ℓp of absolutely p-summable, c of convergent, c0 of null, and ℓ∞ of bounded sequences are very frequently utilized by the researchers in this domain, and are sometimes referred to as classical sequence spaces.
A BK-space is associated with the combined concept of completeness and coordinate-wise continuity. More specifically, a BK-space is a Banach space (complete space endowed with a norm) under which coordinate functionals are continuous. Some prominent examples of BK-spaces are ℓp(1≤p<∞) due to norm
and U∈{ℓ∞,c,c0} due to norm
Consider Θ=(θkm) to be an arbitrary infinite matrix having entries that are either complex or real. Denote by Θk=(θkm)∞m=0 the kth row of the matrix Θ. For any u=(um)∈ω, the sequence
is called a Θ-transform of u=(um), assuming the sum in the last equality is finite for every k∈Z+0.
Suppose U,V⊂ω. Then, an infinite matrix Θ is said to correspond a matrix mapping from U to V if for all u∈U,Θu∈V. Let (U,V) denote the set of all matrices that maps from U to V. Given a matrix Θ, it is known that the domain
of the matrix Θ in the space U is itself a sequence space. When Θ is a triangular matrix and U is a BK-space, UΘ inherits certain properties from U, such as being a BK-space itself. The norm on UΘ is defined as
For a deeper understanding and specific examples of trianglular matrices in classical sequence spaces, one should consult the monographs [5,21] that provide detailed explanations and examples illustrating the behavior of such matrices in various sequence spaces.
1.1. Some preliminaries from q-calculus
The concept of q-analogue indeed provides a powerful framework for generalizing classical mathematical concepts by introducing a new parameter q. The versatility of q-analogue theory lies in its ability to extend classical concepts while maintaining a connection to the original theory, thus allowing for deeper insights and novel applications across various mathematical domains. As q approaches 1−, the q-analogue is reduced to the original expression, preserving the classical results.
Although Euler laid some foundational work in this area, it was Jackson [11] who made significant contributions by formalizing q-analogues and developing the concepts of q-differentiation and q-integration. The acceptance of q-analogue theory by the mathematical community has led to its widespread application in various branches of mathematics. In hypergeometric functions, combinatorics, algebra, approximation theory, integro-differential equations, special functions, and more, q-analogues find numerous applications. Recently, q-theory has also been utilized in the study of summability as well as sequence spaces, as indicated in [1,8,22,31].
We proceed to discuss certain fundamental concepts in q-theory:
Definition 1.1. For a whole number [z]q, the q-integer is given by
This definition ensures that in the limit as q→1−, the q-integer [z]q converges to the ordinary integer z.
Definition 1.2. The notation (km)q is defined by
This represents the q-analogue of the standard binomial coefficient (km). Note that [m]q!=∏mk=1[k]q denotes the q-analogue of the factorial m!.
Indeed, the equalities (00)q=(k0)q=(kk)q=1 and (kk−m)q=(km)q suffice for the q-binomial coefficient (km)q. For further understanding of q-theory, we recommend consulting the monograph [13].
We now shift our focus to specific sequence spaces constructed utilizing the q-analogue of special matrices. Table 1 may be consulted for this purpose. The q-matrices C(q)=(cqkm), E(q)=(eqkm), ∇2(q)=(δ2;qkm),∇n(q)=(δn;qkm),C(q)=(˜ckm(q)),P(q)=(pqkm), ˆF(q)=(ˆfkm(q)), and F(q)=(fqkm) listed below will aid in the interpretation of the results presented in Table 1:
Here, (cm(q))m∈Z+0 and (fm(q))m∈Z+0 denote q-Catalan and q-Fibonacci sequences, respectively.
1.2. Fibonacci numbers and associated sequence spaces
The sequence of natural numbers
represents the Fibonacci sequence, often known as Nature's numbers. These numbers are prevalent in various natural phenomena, including the arrangement of sunflower seeds, pinecone bracts, tree branch patterns, pineapple scales, and fern shapes. Their diverse applications span engineering, architecture, mathematics, and the natural sciences.
Let fm signify the mth Fibonacci number. These numbers follow a linear recurrence relation:
We proceed to explore several well-established properties associated with Fibonacci numbers (refer to [16]):
Fibonacci numbers, known for their fascinating properties, have also been applied in the fields of sequence spaces and summability. Despite numerous studies on Fibonacci numbers within these areas, we will briefly discuss some pioneering research:
Define the matrix ˆF=(ˆfkm)k,m∈Z+0 in the following manner:
The domains ℓp(ˆF)=(ℓp)ˆF and ℓ∞(ˆF)=(ℓ∞)ˆF have been explored by Kara [14], and c0(ˆF)=(c0)ˆF and c(ˆF)=cˆF by Başarır et al. [6].
Kara and Başarır [15] defined the Fibonacci space U(˜F)=U˜F for U∈{ℓp,c0,c,ℓ∞} using a regular Fibonacci matrix ˜F=(˜frm)r,m∈Z+0 given by the following expression:
Debnath and Saha [7] proposed an alternative regular Fibonacci matrix F=(fkm)k,m∈Z+0 defined by
They constructed the spaces c0(F)=(c0)F and c(F)=cF. Following this, Ercan [10] extended the work by developing Fibonacci spaces ℓp(F)=(ℓp)F for 0≤p<∞ and ℓ∞(F)=(ℓ∞)F.
Let us shift our attention to the q-analogue f(q)=(fm(q))m∈Z+0 of the Fibonacci sequence f=(fm). The q-Fibonacci numbers are given, as shown in [3,24], in the following manner:
In simpler terms:
Additionally, as q tends to 1−, fm(q) converges to fm for all m∈Z+0. Numerous researchers have dedicated efforts to investigating the q-analogues of the interesting relations displayed by Fibonacci numbers. A prominent example is the q-analogue of the property (1.3), as discussed in [3, Theorem 2]:
which is the same as writing
Recently, Atabey et al. [4] introduced the q-Fibonacci difference sequence space U(ˆF(q)), where U is any one of the spaces in {ℓp,c0,c,ℓ∞}. Here, ˆF(q)=(ˆfkm(q))k,m∈Z+0 represents the double band q-Fibonacci difference matrix, defined as in (1.1).
More recently, Yaying et al. [35] utilized the relation (1.4) to construct a q-analogue F(q), defined as in (1.2), of the Fibonacci matrix F. Using F(q), they developed q-Fibonacci sequence spaces ℓp(F(q)) and ℓ∞(F(q)), defined as the domain of F(q) in ℓp and ℓ∞ (classical spaces).
This paper naturally extends the research conducted in [35], thereby extending the investigation to the spaces c0 and c. Specifically, our aim is to introduce q-Fibonacci spaces c0(F(q)) and c(F(q)), and explore the various intriguing properties that emerge from these newly defined spaces.
2.
The domains c0(F(q)) and c(F(q))
The sequence v=(vk)k∈Z+0, defined by the relation
is called the F(q)-transform of u=(uk)k∈Z+0.
Next, we introduce the spaces c(F(q)) and c0(F(q)) in the following manner:
Alternatively, the aforementioned spaces are re-expressed as:
In other words, c(F(q)) and c0(F(q)) are considered the domains of the q-Fibonacci matrix in c and c0, respectively. Indeed, as q approaches 1−, these domains are reduced to c(F) and c0(F), respectively, a topic studied by Debnath and Saha [7].
Lemma 2.1. [35, Lemma 2.1] The inverse G(q)={F(q)}−1=(gqkm)k,m∈Z+0 of the q-Fibonacci matrix F(q) is expressed as follows:
The above lemma allows us to define the {F(q)}−1-transform, or G(q)-transform, of the sequence v=(vk) in the following manner:
Indeed, the Eqs (2.1) and (2.2) imply each other, and are thus equivalent.
Theorem 2.2. Associated with a bounded norm
the spaces c(F(q)) and c0(F(q)) form BK-spaces.
Proof. This can be routinely verified. □
Remark 2.3. It can be noted that as q tends to 1−, Theorem 2.2 yields Theorem 2.1 of Debnath and Saha [7].
Theorem 2.4. For U∈{c,c0}, it holds that U(F(q))≅U.
Proof. Let U∈{c,c0}. Consider a mapping M defined in the following manner:
It is evident that F(q) acts as the matrix representation of the operator M. Since F(q) is triangular, it can be deduced that M forms a linear bijection and preserves the norm. The result follows straightforwardly. □
Definition 2.5. A normed linear space U having norm ‖⋅‖ possesses a Schauder basis b=(bm) if ∃ is a unique sequence of real numbers c=(cm) for each u=(um)∈U such that
Suppose Θ is a triangle. It follows that the sequence space/matrix domain UΘ possesses a Schauder basis iff U has a basis (refer to [12, Theorem 2.3]). The following result readily emerges from this observation:
Theorem 2.6. Define the sequence {s(m)(q)}m∈Z+0⊂c0(F(q)) by
The following assertions hold true:
(1) The sequence
forms a basis of c0(F(q)), and each u∈c0(F(q)) is uniquely expressed as
where vk=(F(q)u)k for each k∈Z+0.
(2) The set
forms a basis of c(F(q)), and every u∈c(F(q)) is uniquely determined as
where l=limk→∞vk=limk→∞(F(q)u)k.
3.
The duals {U(F(q))}λ, U∈{c,c0}, and λ∈{α,β,γ}
Let U and V denote any two sequence spaces. We define the set M(U,V) in the following manner:
In the cases where V=ℓ1, cs (the space of all convergent series), and bs (the space of all bounded series), the set M(U,V) is referred to as the α-dual, β-dual, and γ-dual of U, denoted respectively by Uα, Uβ, and Uγ.
Now we focus on certain established results crucial for examining the duals of the new spaces. The symbol Z denotes the family of all finite subsets of Z+0.
Lemma 3.1. [26] Let Θ=(θkm) be an infinite matrix. Then, we have the following results:
(i) Θ∈(c0,ℓ1)=(c,ℓ1) iff
(ii) Θ∈(c0,c) iff
(iii) Θ∈(c,c) iff (3.2) and (3.3) hold, and
(iv) Θ∈(c0,ℓ∞)=(c,ℓ∞) iff (3.3) holds.
(v) Θ∈(ℓ∞,c) iff (3.2) holds, and
Theorem 3.2. Let c=(cm)∈ω. Define the matrix Λ(q)=(λqkm)k,m∈Z+0 and the set ν(q) as follows:
Then, it holds that
Proof. Let U∈{c,c0}. By utilizing the matrix Λ(q)=(λqkm) and the sequence u=(uk) (see Eq (2.2)), we have
for each k∈Z+0. Keeping in mind this equality, it is observed that cu=(cmum)∈ℓ1 whenever u∈U(F(q)) iff Λ(q)v∈ℓ1 whenever v∈U. Therefore, c=(cm)∈{U(F(q))}α iff Λ(q)∈(U,ℓ1). By substituting c and c0 for U and applying Lemma 3.1(i), we obtain the required fact that
This ends the proof. □
Theorem 3.3. Let d=(dm)∈ω. Define the matrix Ω(q)=(ωqkm)k,m∈Z+0 by
Then, it holds that
(i) d=(dk)∈{c(F(q))}β iff Ω(q)∈(c,c) and
(ii) d=(dk)∈{c0(F(q))}β iff Ω(q)∈(c0,c), and (3.6) is satisfied.
Proof. We focus on the proof of the Beta-dual of the space c(F(q)).
Assume that d=(dm)∈{c(F(q))}β. By the definition of the Beta-dual, the series ∑∞m=0dmum converges for any u=(um)∈c(F(q)). Using Abel's partial summation on the r-th partial sum of the infinite series ∑∞m=0dmum, we obtain the following equality:
for all r∈Z+0. By hypothesis, the series ∑∞m=0dmum is convergent. Taking the limit as r→∞ in (3.7), we observe that the series
is convergent and
Considering that c(F(q))≅c, which implies v=(vm)∈c, the above condition is satisfied by
Therefore, we obtain
for each k∈Z+0. Thus, Ω(q)∈(c,c). Alternatively, the matrix Ω(q) satisfies the conditions (3.2)–(3.4) of Lemma 3.1 (iii). This completes the necessary part of the proof.
Conversely, assume that Ω(q)∈(c,c) and the condition (3.6) is satisfied. Using (3.7), we derive (3.8). Since Ω(q)∈(c,c), the series ∑∞m=0dmum converges for all u=(um)∈c(F(q)). This implies that d=(dm)∈{c(F(q))}β. Thus, the conditions are sufficient.
A similar proof may be given for the Beta-dual of the space c0(F(q)) except that Lemma 3.1(iii) is replaced by Lemma 3.1(ii). We skip the detailed proof to avoid redundant statements. □
Theorem 3.4. Let d=(dm)∈ω. Then, it holds that d=(dm)∈{c(F(q))}β={c0(F(q))}β iff Ω(q)∈(c,ℓ∞)=(c0,ℓ∞) and the condition (3.6) is satisfied.
Proof. This result is drawn in a manner analogous to the proof of Theorem 3.3, but using Lemma 3.1(iv) instead of Lemma 3.1(iii). We omit the detailed proof here to avoid unnecessary repetition. □
4.
Matrix mappings
Herein, we aim to characterize the matrix classes (c(F(q)),U) and (U,c(F(q))), where U represents any chosen sequence space. To accomplish this, we employ the dual summability method of the new type as discussed by Şengönül and Başar in [25] (also see [5, Section 4.2.3]).
Consider two infinite matrices over the complex fields, Θ=(θkm) and Φ=(ϕkm), which are related in the following manner:
for all k,m∈Z+0. It is evident that the matrices Θ and Φ are dual matrices of a new type (cf. [25]).
Theorem 4.1. Assume that Θ=(θkm) and Φ=(ϕkm) are dual matrices of a new type related by (4.1), and U is any given space. Then, Θ∈(c(F(q)),U) iff Φ∈(c,U), and
for each fixed r∈Z+0.
Proof. Let U be any arbitrary space. Suppose that Θ∈(c(F(q)),U) and select v∈c. Then, ΦF(q) exists, and Θj∈{c(F(q))}β, which implies that Φk∈ℓ1 for each k∈Z+0. Consequently, Φv exists for all v∈c. Now, consider the rth partial sum of the series ∑∞m=0ϕkmvm, given by:
for r,k∈Z+0. Taking the limit as r→∞ in (4.3), we obtain that Φv=Θu. Therefore, Φ∈(c,U).
Conversely, assume that Φ∈(c,U) and the condition in (4.2) is satisfied. Let u∈c(F(q)). It follows that Φk∈ℓ1 for each k∈Z+0. Combining this with (4.2), we deduce that Θk∈{c(F(q))}β for each k∈Z+0. Consequently, Θu exists. This led to the derivation of the much needed equality:
which, when taking the limit as r→∞, yields that Θu=Φv. This confirms that Θ∈(c(F(q)),U). □
It is clear that Theorem 4.1 holds various implications depending on the selection of the space U. By substituting ℓ∞, c, and c0 for U, we derive the following corollary:
Corollary 4.2. The following assertions hold true:
(i) An infinite matrix Θ∈(c(F(q)),ℓ∞) iff (3.3) holds with ϕkm instead of θkm, and (4.2) holds.
(ii) An infinite matrix Θ∈(c(F(q)),c iff (3.2)–(3.4) hold with ϕkm instead of θkm, and (4.2) holds.
(iii) An infinite matrix Θ∈(c(F(q)),c0 iff (3.2) with ξm=0 for all m∈Z+0, (3.3), and (3.4) with ζ=0 hold, with ϕkm instead of θkm, and (4.2) holds.
Lemma 4.3. [5, Lemma 4.3.24] Let U,V⊂ω,Θ be an infinite matrix, and T be a triangle. Then, Θ∈(U,VT) iff TΘ∈(U,V).
The aforementioned lemma has played a crucial role in characterizing matrix transformations between domains of triangles. An immediate application of this lemma is presented below without proof, as it is straightforward.
Lemma 4.4. Let V∈{ℓ∞,c,c0}. Define the matrix Ψ=(ψkm) in terms of the matrix Θ=(θkm) by
for all k,m∈Z+0. Then, Θ∈(U,VF(q)) iff Ψ∈(U,V).
Next, we outline several significant corollaries as immediate implications of Lemma 4.3 or Lemma 4.4:
Corollary 4.5. The following assertions hold true:
(i) An infinite matrix Θ∈(ℓ∞,c(F(q))) iff (3.2) and (3.5) are satisfied with ψkm in place of θkm.
(ii) An infinite matrix Θ∈(c,c(F(q))) iff (3.2), (3.3), and (3.4) are satisfied with ψkm in place of θkm.
(iii) An infinite matrix Θ∈(c0,c(F(q))) iff (3.2) with ξm=0 for all m∈Z+0, (3.3), and (3.4) with ζ=0 are satisfied with ψkm in place of θkm.
Corollary 4.6. Suppose that entries of the matrices Σ=(σkm) and Θ=(θkm) are connected by the relation:
for all k,m∈Z+0. Then, we have the following assertions:
(i) Θ∈(c(F(q)),bs) iff Σ∈(c(F(q)),ℓ∞), and the required conditions follow immediately from Corollary 4.2 (i).
(ii) Θ∈(c(F(q)),cs) iff Σ∈(c(F(q)),c), and the required conditions follow immediately from Corollary 4.2 (ii).
(iii) Θ∈(c(F(q)),cs0) iff Σ∈(c(F(q)),c0), and the required conditions follow immediately from Corollary 4.2 (iii).
Corollary 4.7. Suppose that entries of the matrices Ψ=(ψkm) and Θ=(θkm) are related by (4.5). Then, we have the following assertions:
(i) Θ∈(c(F(q)),ℓ∞(F(q))) iff Ψ∈(c(F(q)),ℓ∞), and the required conditions follow immediately from Corollary 4.2 (i).
(ii) Θ∈(c(F(q)),c(F(q))) iff Ψ∈(c(F(q)),c), and the required conditions follow immediately from Corollary 4.2 (ii).
(iii) Θ∈(c(F(q)),c0(F(q))) iff Ψ∈(c(F(q)),c0), and the required conditions follow immediately from Corollary 4.2 (iii).
5.
Compactness via Hmnc on the space c0(F(q))
Consider the unit sphere BU in a BK-space U⊃σ, and let r=(rk)∈ω. In this section, we employ the following notation:
It should be noted that r∈Uβ.
Lemma 5.1. [17, Lemma 6] ℓβ∞=cβ=cβ0=ℓ1 and ‖r‖∗U=‖r‖ℓ1 for U∈{ℓ∞,c,c0}.
The notation B(U,V) is used to denote the set of all bounded (continuous) linear operators from U to V.
Lemma 5.2. [18, Theorem 1.23(a)] Suppose U and V are arbitrary BK-spaces. For each Θ∈(U,V), there exists a bounded linear operator MΘ∈B(U,V) such that MΘ(u)=Θu for all u∈U.
Lemma 5.3. [18] Consider a BK-space U⊃σ and V∈{c0,c,ℓ∞}. If Θ∈(U,V), then the following holds:
In a metric space U, the Hausdorff measure of noncompactness (Hmnc) of a bounded set S is denoted by χ(S). It is given by:
where B(cm,am) denotes the open ball centered at cm with radius am. For further details on the Hmnc, consult [18] and the references therein.
Theorem 5.4. For each u=(um)∈c0 and m∈Z+0, define the operator Tm:c0→c0 by Tm(u)=(u0,u1,u2,…,um,0,0,…). The Hmnc of any bounded set S⊂c0 is given by:
where I represents the identity operator on c0.
Consider two arbitrary Banach spaces, U and V. A linear operator M:U→V is compact provided its domain is all of U and, for any bounded sequence u=(uk)∈U, the sequence (M(uk)) contains a convergent subsequence in V.
The condition (necessary and sufficient) for M to be compact is that its Hmnc is zero, denoted by ‖M‖χ=χ(M(BU))=0.
In the field of sequence spaces, the Hmnc of an operator (linear) assumes a pivotal role in determining the compactness of the operators among Banach spaces. For further exploration, one may consult [19,20,23,34].
Let r=(rm)∈ω, and define the sequence s=(sm) as follows:
for all m∈Z+0.
Lemma 5.5. Let r=(rm)∈[c0(F(q))]β. Then s=(sm)∈ℓ1, and the equality
is satisfied for all u=(um)∈c0(F(q)).
Lemma 5.6. For all r=(rm)∈[c0(F(q))]β,
Proof. Let r=(rm)∈[c0(F(q))]β. According to Lemma 5.5, s=(sm)∈ℓ1 and (5.1) holds. Since ‖u‖c0(F(q))=‖v‖c0, it follows that u∈Bc0(F(q)) iff v∈Bc0. Thus,
It follows with Lemma 5.1 that
□
Let Ω=(ωkm) and Θ=(θkm) be matrices related as follows:
for all k,m∈Z+0.
Lemma 5.7. Suppose U⊂ω and Θ=(θkm) is an infinite matrix. If Θ∈(c0(F(q)),U), then Ω∈(c0,U) and Θu=Ωv for all u∈c0(F(q)).
Proof. This conclusion is drawn from Lemma 5.5. □
Lemma 5.8. For Θ∈(c0(F(q)),V), it holds that
where V∈{c0,c,ℓ∞}.
Lemma 5.9. [19, Theorem 3.7] Suppose U⊃σ is a BK-space. Then, each of the following statements is true:
(a) If Θ∈(U,ℓ∞), then
(b) If Θ∈(U,c0), then
(c) If U has AK or U=ℓ∞ and Θ∈(U,c), then
where θ=(θm) and θm=limk→∞θkm for each m∈Z+0.
Lemma 5.10. [19, Theorem 3.11] Suppose U⊃ω is any BK-space. If Θ∈(U,ℓ1), then
and MΘ is compact iff limp→∞(supK∈Zp‖∑k∈KΘk‖∗U)=0, where Zp is the sub-family of Z comprising subsets of Z+0 with elements exceeding p.
Theorem 5.11.
(a) If Θ∈(c0(F(q)),ℓ∞), then
holds.
(b) If Θ∈(c0(F(q)),c), then
holds.
(c) If Θ∈(c0(F(q)),c0), then
holds.
(d) If Θ∈(c0(F(q)),ℓ1), then
holds, where ‖Θ‖(p)(c0(F(q)),ℓ1)=supK∈Zp(∑∞m=0|∑k∈Kωkm|)(p∈Z+0).
Proof. (a) Let Θ∈(c0(F(q)),ℓ∞). As the series ∑∞m=0θkmum converges for each k∈Z+0, it follows that Θk∈[c0(F(q))]β. Referring to Lemma 5.6, we express
for each k∈Z+0. Utilizing Lemma 5.9(a), it leads us to the conclusion that
(b) Let Θ∈(c0(F(q)),c). According to Lemma 5.7, one gets Ω∈(c0,c). Thus, by use of Lemma 5.9(c), it follows that
where ω=(ωm) and ωm=limk→∞ωkm for each m∈Z+0. Moreover, Lemma 5.1 implies that
for each k∈Z+0. This completes the proof.
(c) Let Θ∈(c0(F(q)),c0). Since
for each k∈Z+0, it follows by use of Lemma 5.9(b) that
(d) Let Θ∈(c0(F(q)),ℓ1). According to Lemma 5.7, one gets Ω∈(c0,ℓ1). It follows by use of Lemma 5.10 that
Moreover, Lemma 5.1 implies that
which ends the proof.
□
This theorem entails the corollary below.
Corollary 5.12.
(a) MΘ is compact for Θ∈(c0(F(q)),ℓ∞) if
(b) MΘ is compact for Θ∈(c0(F(q)),c) iff
(c) MΘ is compact for Θ∈(c0(F(q)),c0) iff
(d) MΘ is compact for Θ∈(c0(F(q)),ℓ1) iff
where ‖Θ‖(p)(c0(F(q)),ℓ1)=supK∈Zp(∑∞m=0|∑k∈Kωkm|).
6.
Conclusions
In recent times, there has been significant research interest in q-sequence spaces as the domains of q-analogues of well-known matrices. Some examples include q-Cesàro spaces [31], q-Euler spaces [29,32], q-Pascal sequence spaces [28], q-Fibonacci difference spaces [4], q-difference spaces [2,30,33], and q-Catalan spaces [34]. Furthermore, Yaying et al. [35], quite recently, introduced q-Fibonacci matrix F(q), and examined its domain in spaces ℓp and ℓ∞.
Our present investigation builds upon the Yaying et al. work [35], expanding the domain of the q-Fibonacci matrix F(q) in c and c0. This extension led to the introduction of the spaces c0(F(q)) and c(F(q)), and explored various properties such as the Schauder basis, α-, β-, and γ-duals, as well as matrix transformation related results. Additionally, a section is devoted to the investigation of compactness of linear operators on the space c0(F(q)). We established that as q tends to 1−, the spaces c0(F(q)) and c(F(q)) reduce to the classical Fibonacci spaces c0(F) and c(F), as discussed by Debnath and Saha in [7]. Hence, our findings represent a generalization of the results presented in [7].
Consider the q-Fibonacci space UF(q), where U is any of the classical paranormed spaces ℓ(p),c0(p),c(p), or ℓ∞(p). It is observed that the spaces UF(q) and U are paranorm isometric. Consequently, it is worthwhile to explore and investigate the following:
∙ Inclusion relations between the spaces UF(q) and U.
∙ Evaluation of a Schauder basis and computation of the continuous dual of the space UF(q).
∙ Calculation of duals such as α-, β-, and γ-duals of UF(q) space.
∙ Characterization of the matrix classes (UF(q),V) and (V,UF(q)), where V is any paranormed space.
Author contributions
Taja Yaying, S. A. Mohiuddine and Jabr Aljedani: Conceptualization, Methodology, Validation, Writing – original draft, Writing – review & editing. The authors contributed equally to this work. All authors have read and approved the final version of this manuscript.
Use of Generative-AI tools declaration
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
Conflict of interest
All authors declare no conflicts of interest in this paper.