Research article

Exploring the q-analogue of Fibonacci sequence spaces associated with c and c0

  • Received: 28 November 2024 Revised: 19 December 2024 Accepted: 02 January 2025 Published: 13 January 2025
  • MSC : 40C05, 46A45, 46B45, 47B37

  • We have proposed a q-analogue c(F(q)) and c0(F(q)) of Fibonacci sequence spaces, where F(q)=(fqkm) denotes a q-Fibonacci matrix defined in the following manner:

    fqkm={qm+1fm+1(q)fk+3(q)1,if 0mk,0,if m>k,

    for all k,mZ+0, where (fk(q)) denotes a sequence of q-Fibonacci numbers. We developed a Schauder basis and determined several important duals (α-, β-, γ-) of the aforesaid constructed spaces c(F(q)) and c0(F(q)). Additionally, we examined certain characterization results for the matrix class (U,V), where U{c(F(q)),c0(F(q))} and V{,c,c0,1}. Essential conditions for the compactness of the matrix operators on the space c0(F(q)) via the Hausdorff measure of noncompactness (Hmnc) were presented.

    Citation: Taja Yaying, S. A. Mohiuddine, Jabr Aljedani. Exploring the q-analogue of Fibonacci sequence spaces associated with c and c0[J]. AIMS Mathematics, 2025, 10(1): 634-653. doi: 10.3934/math.2025028

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  • We have proposed a q-analogue c(F(q)) and c0(F(q)) of Fibonacci sequence spaces, where F(q)=(fqkm) denotes a q-Fibonacci matrix defined in the following manner:

    fqkm={qm+1fm+1(q)fk+3(q)1,if 0mk,0,if m>k,

    for all k,mZ+0, where (fk(q)) denotes a sequence of q-Fibonacci numbers. We developed a Schauder basis and determined several important duals (α-, β-, γ-) of the aforesaid constructed spaces c(F(q)) and c0(F(q)). Additionally, we examined certain characterization results for the matrix class (U,V), where U{c(F(q)),c0(F(q))} and V{,c,c0,1}. Essential conditions for the compactness of the matrix operators on the space c0(F(q)) via the Hausdorff measure of noncompactness (Hmnc) were presented.



    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

    {v=(vm):vmC for all mZ+0}.

    The addition and scalar multiplication operations of sequences in ω are defined by

    (um)+(vm)=(u+v)m and λ(um)=(λum)

    for all u=(um),v=(vm)ω, and λC. 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 p of absolutely p-summable, c of convergent, c0 of null, and 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 p(1p<) due to norm

    up=(k=0|uk|p)1/p

    and U{,c,c0} due to norm

    u=supkZ+0|uk|.

    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

    Θu={(Θu)k}=(m=0θkmum)kZ+0

    is called a Θ-transform of u=(um), assuming the sum in the last equality is finite for every kZ+0.

    Suppose U,Vω. Then, an infinite matrix Θ is said to correspond a matrix mapping from U to V if for all uU,ΘuV. 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

    UΘ={u=(um)ω:ΘuU}

    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

    uUΘ=ΘuU.

    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.

    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

    [z]q={z1m=0qm,zZ+,0,z=0.

    This definition ensures that in the limit as q1, the q-integer [z]q converges to the ordinary integer z.

    Definition 1.2. The notation (km)q is defined by

    (km)q={[k]q![km]q![m]q!,km,0,k<m.

    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 (kkm)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:

    cqkm={qm[k+1]q(0mk),0(m>k),eqkm(α,β)={1(α+β)kq(km)qq(m2)αmβkm(0mk),0(m>k),δ2;qkm={(1)kmq(km2)(2km)(0mk),0(m>k),δn;qkm={(1)kmq(km2)(nkm)(max{0,kn}mk),0(0mmax{kn} or m>k),˜ckm(q)={qmcm(q)ckm(q)ck+1(q),0mk,0,m>k,pqkm={(km)q,0mk,0,m>k,ˆfkm(q)={fk+1(q)1qkfk(q)(m=k1),fk+2(q)1qkfk(q)(m=k),0otherwise, (1.1)
    fqkm={qm+1fm+1(q)fk+3(q)1,0mk,0,m>k. (1.2)
    Table 1.  Domain of special q-matrices.
    U Θ UΘ References
    p,c0,c, C(q) (p)C(q),(c0)C(q),cC(q),()C(q) [8,31]
    p,c0,c, E(q) (p)E(q),(c0)E(q),cE(q),()E(q) [29,32]
    p,c0,c, 2q (p)2q,(c0)2q,c2q,()2q [2,33]
    p,c0,c, mq (p)mq,(c0)mq,cmq,()mq [9,30]
    p,c0,c, C(q) (p)C(q),(c0)C(q),cC(q),()C(q) [27,34]
    p,c0,c, P(q) (p)P(q),(c0)P(q),cP(q),()P(q) [28]
    p,c0,c, ˆF(q) (p)ˆF(q),(c0)ˆF(q),cˆF(q),()ˆF(q) [4]
    c0,c F(q) (c0)F(q),cF(q) [35]

     | Show Table
    DownLoad: CSV

    Here, (cm(q))mZ+0 and (fm(q))mZ+0 denote q-Catalan and q-Fibonacci sequences, respectively.

    The sequence of natural numbers

    0,1,1,2,3,5,8,13,21,

    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:

    fm=fm1+fm2,withf0=0 and f1=1.

    We proceed to explore several well-established properties associated with Fibonacci numbers (refer to [16]):

    limmfm+1fm=1+52(Golden Ratio);km=0fm=fk+21,kZ+0;m=01fmconverges;fm1fm+1f2m=(1)m+1,mZ+. (1.3)

    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,mZ+0 in the following manner:

    ˆfkm={fk+1fkif m=k1,fkfk+1if m=k,0otherwise.

    The domains p(ˆF)=(p)ˆF and (ˆF)=()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{p,c0,c,} using a regular Fibonacci matrix ˜F=(˜frm)r,mZ+0 given by the following expression:

    ˜frm={f2mfrfr+1if 0mr,0if m>r.

    Debnath and Saha [7] proposed an alternative regular Fibonacci matrix F=(fkm)k,mZ+0 defined by

    frm={fmfr+21if 0mr,0if m>r.

    They constructed the spaces c0(F)=(c0)F and c(F)=cF. Following this, Ercan [10] extended the work by developing Fibonacci spaces p(F)=(p)F for 0p< and (F)=()F.

    Let us shift our attention to the q-analogue f(q)=(fm(q))mZ+0 of the Fibonacci sequence f=(fm). The q-Fibonacci numbers are given, as shown in [3,24], in the following manner:

    fr(q)={0(r=0),1(r=1),fr1(q)+qr2fr2(q)(r>1).

    In simpler terms:

    f0(q)=0,f1(q)=1,f2(q)=1,f3(q)=1+q,f4(q)=1+q+q2,f5(q)=1+q+q2+q3+q4,f6(q)=1+q+q2+q3+2q4+q5+q6,and so forth.

    Additionally, as q tends to 1, fm(q) converges to fm for all mZ+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]:

    fk+2(q)1=km=1qmfm(q),

    which is the same as writing

    fk+3(q)1=km=0qm+1fm+1(q). (1.4)

    Recently, Atabey et al. [4] introduced the q-Fibonacci difference sequence space U(ˆF(q)), where U is any one of the spaces in {p,c0,c,}. Here, ˆF(q)=(ˆfkm(q))k,mZ+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 p(F(q)) and (F(q)), defined as the domain of F(q) in p and (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.

    The sequence v=(vk)kZ+0, defined by the relation

    vk=(F(q)u)k=kl=0ql+1fl+1(q)fk+3(q)1ul, (2.1)

    is called the F(q)-transform of u=(uk)kZ+0.

    Next, we introduce the spaces c(F(q)) and c0(F(q)) in the following manner:

    c(F(q)):={u=(um)ω:v=F(q)uc},c0(F(q)):={u=(um)ω:v=F(q)uc0}.

    Alternatively, the aforementioned spaces are re-expressed as:

    c(F(q))=cF(q)andc0(F(q))=(c0)F(q).

    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,mZ+0 of the q-Fibonacci matrix F(q) is expressed as follows:

    gqkm={(1)kmfm+3(q)1qk+1fk+1(q), if k1mk,0, if m>k.

    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:

    uk=km=k1(1)kmfm+3(q)1qk+1fk+1(q)vm. (2.2)

    Indeed, the Eqs (2.1) and (2.2) imply each other, and are thus equivalent.

    Theorem 2.2. Associated with a bounded norm

    uc(F(q))=uc0(F(q))=supmZ+0|ml=0ql+1fm+1(q)fm+3(q)1ul|,

    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:

    M:U(F(q))U,uMu=v=F(q)u.

    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

    limkukm=0cmbm=0.

    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)}mZ+0c0(F(q)) by

    s(m)k(q)={(1)kmfm+3(q)1qk+1fk+1(q), if k1mk,0,otherwise.

    The following assertions hold true:

    (1) The sequence

    {b(k)(q)}kZ+0

    forms a basis of c0(F(q)), and each uc0(F(q)) is uniquely expressed as

    u=k=0vks(k)(q),

    where vk=(F(q)u)k for each kZ+0.

    (2) The set

    {e,b(k)(q)}

    forms a basis of c(F(q)), and every uc(F(q)) is uniquely determined as

    u=le+k=0(vkl)s(k)(q),

    where l=limkvk=limk(F(q)u)k.

    Let U and V denote any two sequence spaces. We define the set M(U,V) in the following manner:

    M(U,V)={c=(cm)ω:cu=(cmum)V for all uU}.

    In the cases where V=1, 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(c0,1)=(c,1) iff

    supKZm=0|kKθkm|<. (3.1)

    (ii) Θ(c0,c) iff

    ξmClimkθkm=ξmfor eachmZ+0, (3.2)
    supkZ+0m=0|θkm|<. (3.3)

    (iii) Θ(c,c) iff (3.2) and (3.3) hold, and

    ζClimkm=0θkm=ζ. (3.4)

    (iv) Θ(c0,)=(c,) iff (3.3) holds.

    (v) Θ(,c) iff (3.2) holds, and

    m=0|θkm| converges uniformly in k . (3.5)

    Theorem 3.2. Let c=(cm)ω. Define the matrix Λ(q)=(λqkm)k,mZ+0 and the set ν(q) as follows:

    λqkm={(1)kmfm+3(q)1qk+1fk+1(q)ck,k1mk,0,otherwise,ν(q)={c=(ck)ω:supKZm=0|kKλqkm|<}.

    Then, it holds that

    {c(F(q))}α={c0(F(q))}α=ν(q).

    Proof. Let U{c,c0}. By utilizing the matrix Λ(q)=(λqkm) and the sequence u=(uk) (see Eq (2.2)), we have

    ckuk=km=k1(1)kmfm+3(q)1qk+1fk+1(q)vmck=(Λ(q)v)k

    for each kZ+0. Keeping in mind this equality, it is observed that cu=(cmum)1 whenever uU(F(q)) iff Λ(q)v1 whenever vU. Therefore, c=(cm){U(F(q))}α iff Λ(q)(U,1). By substituting c and c0 for U and applying Lemma 3.1(i), we obtain the required fact that

    {c(F(q))}α={c0(F(q))}α=ν(q).

    This ends the proof.

    Theorem 3.3. Let d=(dm)ω. Define the matrix Ω(q)=(ωqkm)k,mZ+0 by

    ωqkm=(fm+3(q)1){dmqm+1fm+1(q)dm+1qm+2fm+2(q)}.

    Then, it holds that

    (i) d=(dk){c(F(q))}β iff Ω(q)(c,c) and

    {fk+3(q)1qk+1fk+1(q)dk}c0. (3.6)

    (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:

    rm=0dmum=rm=0{ml=m1(1)mlfl+3(q)1ql+1fl+1(q)vl}dm=r1m=0(fm+3(q)1){dmqm+1fm+1(q)dm+1qm+2fm+2(q)}vm+fr+3(q)1qr+1fr+1(q)vrdr (3.7)

    for all rZ+0. By hypothesis, the series m=0dmum is convergent. Taking the limit as r in (3.7), we observe that the series

    m=0(fm+3(q)1){dmqm+1fm+1(q)dm+1qm+2fm+2(q)}vm

    is convergent and

    {fr+3(q)1qr+1fr+1(q)vrdr}c0.

    Considering that c(F(q))c, which implies v=(vm)c, the above condition is satisfied by

    {fr+3(q)1qr+1fr+1(q)dr}c0.

    Therefore, we obtain

    m=0dmum=m=0(fm+3(q)1){dmqm+1fm+1(q)dm+1qm+2fm+2(q)}vm=(Ω(q)v)k (3.8)

    for each kZ+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,)=(c0,) 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.

    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:

    θkm=l=mqm+1fm+1(q)fl+3(q)1ϕkl(or ϕkm=(fm+3(q)1){θkmqm+1fm+1(q)θk,m+1qm+2fm+2(q)}), (4.1)

    for all k,mZ+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

    {fr+3(q)1qr+1fr+1(q)θkr}kZ+0c0, (4.2)

    for each fixed rZ+0.

    Proof. Let U be any arbitrary space. Suppose that Θ(c(F(q)),U) and select vc. Then, ΦF(q) exists, and Θj{c(F(q))}β, which implies that Φk1 for each kZ+0. Consequently, Φv exists for all vc. Now, consider the rth partial sum of the series m=0ϕkmvm, given by:

    rm=0ϕkmvm=rm=0(rl=mqm+1fm+1(q)fl+3(q)1ϕkl)um (4.3)

    for r,kZ+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 uc(F(q)). It follows that Φk1 for each kZ+0. Combining this with (4.2), we deduce that Θk{c(F(q))}β for each kZ+0. Consequently, Θu exists. This led to the derivation of the much needed equality:

    rm=0θkmum=rm=0{ml=m1(1)mlfl+3(q)1qm+1fm+1(q)vl}θkm=r1m=0(fm+3(q)1){θkmqm+1fm+1(q)θk,m+1qm+2fm+2(q)}vm+fr+3(q)1qr+1fr+1(q)vrθkr (4.4)

    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 , 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)),) 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 mZ+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,Vω,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{,c,c0}. Define the matrix Ψ=(ψkm) in terms of the matrix Θ=(θkm) by

    ψkm=kl=0ql+1fl+1(q)fk+3(q)1θlm (4.5)

    for all k,mZ+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(,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 mZ+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:

    σkm=kl=0θlm

    for all k,mZ+0. Then, we have the following assertions:

    (i) Θ(c(F(q)),bs) iff Σ(c(F(q)),), 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)),(F(q))) iff Ψ(c(F(q)),), 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).

    Consider the unit sphere BU in a BK-space Uσ, and let r=(rk)ω. In this section, we employ the following notation:

    rU=supuBU|m=0rmum|.

    It should be noted that rUβ.

    Lemma 5.1. [17, Lemma 6] β=cβ=cβ0=1 and rU=r1 for U{,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 MΘB(U,V) such that MΘ(u)=Θu for all uU.

    Lemma 5.3. [18] Consider a BK-space Uσ and V{c0,c,}. If Θ(U,V), then the following holds:

    MΘ=Θ(U,V)=supmZ+0ΘmU<.

    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:

    χ(S)=inf{ϵ>0:Skm=0B(cm,am),cmU,am<ϵ,kZ+0},

    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 mZ+0, define the operator Tm:c0c0 by Tm(u)=(u0,u1,u2,,um,0,0,). The Hmnc of any bounded set Sc0 is given by:

    χ(S)=limm(supuS(ITk)(u)c0),

    where I represents the identity operator on c0.

    Consider two arbitrary Banach spaces, U and V. A linear operator M:UV 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 Mχ=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:

    sm=(fm+3(q)1){rmqm+1fm+1(q)rm+1qm+2fm+2(q)}

    for all mZ+0.

    Lemma 5.5. Let r=(rm)[c0(F(q))]β. Then s=(sm)1, and the equality

    m=0rmum=m=0smvm (5.1)

    is satisfied for all u=(um)c0(F(q)).

    Lemma 5.6. For all r=(rm)[c0(F(q))]β,

    rc0(F(q))=m=0|sm|<.

    Proof. Let r=(rm)[c0(F(q))]β. According to Lemma 5.5, s=(sm)1 and (5.1) holds. Since uc0(F(q))=vc0, it follows that uBc0(F(q)) iff vBc0. Thus,

    rc0(F(q))=supuBc0(F(q))|m=0rmum|=supvBc0|m=0smvm|=sc0.

    It follows with Lemma 5.1 that

    rc0(F(q))=sc0=s1=m=0|sm|.

    Let Ω=(ωkm) and Θ=(θkm) be matrices related as follows:

    ωkm=(fm+3(q)1){θkmqm+1fm+1(q)θk,m+1qm+2fm+2(q)}

    for all k,mZ+0.

    Lemma 5.7. Suppose Uω and Θ=(θkm) is an infinite matrix. If Θ(c0(F(q)),U), then Ω(c0,U) and Θu=Ωv for all uc0(F(q)).

    Proof. This conclusion is drawn from Lemma 5.5.

    Lemma 5.8. For Θ(c0(F(q)),V), it holds that

    MΘ=Θ(c0(F(q)),V)=supkZ+0(m=0|ωkm|)<,

    where V{c0,c,}.

    Lemma 5.9. [19, Theorem 3.7] Suppose Uσ is a BK-space. Then, each of the following statements is true:

    (a) If Θ(U,), then

    0MΘχlim supkΘkU.

    (b) If Θ(U,c0), then

    MΘχ=lim supkΘkU.

    (c) If U has AK or U= and Θ(U,c), then

    12lim supkΘkθUMΘχlim supkΘkθU,

    where θ=(θm) and θm=limkθkm for each mZ+0.

    Lemma 5.10. [19, Theorem 3.11] Suppose Uω is any BK-space. If Θ(U,1), then

    limp(supKZpkKΘkU)MΘχ4limp(supJZpkKΘkU)

    and MΘ is compact iff limp(supKZpkKΘkU)=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)),), then

    0MΘχlim supkm=0|ωkm|

    holds.

    (b) If Θ(c0(F(q)),c), then

    12lim supkm=0|ωkmωm|MΘχlim supkm=0|ωkmωm|

    holds.

    (c) If Θ(c0(F(q)),c0), then

    MΘχ=lim supkm=0|ωkm|

    holds.

    (d) If Θ(c0(F(q)),1), then

    limpΘ(p)(c0(F(q)),1)MΘχ4limpΘ(p)(c0(F(q)),1)

    holds, where Θ(p)(c0(F(q)),1)=supKZp(m=0|kKωkm|)(pZ+0).

    Proof. (a) Let Θ(c0(F(q)),). As the series m=0θkmum converges for each kZ+0, it follows that Θk[c0(F(q))]β. Referring to Lemma 5.6, we express

    Θkc0(F(q))=Ωkc0=Ωk1=m=0|ωkm|

    for each kZ+0. Utilizing Lemma 5.9(a), it leads us to the conclusion that

    0MΘχlim supk(m=0|ωkm|).

    (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

    12lim supkΩkωc0MΘχlim supkΩkωc0,

    where ω=(ωm) and ωm=limkωkm for each mZ+0. Moreover, Lemma 5.1 implies that

    Ωkωc0=Ωkω1=m=0|ωkmωm|

    for each kZ+0. This completes the proof.

    (c) Let Θ(c0(F(q)),c0). Since

    Θkc0(F(q))=Ωkc0=Ωk1=(m=0|ωkm|)

    for each kZ+0, it follows by use of Lemma 5.9(b) that

    MΘχ=lim supk(m=0|ωkm|).

    (d) Let Θ(c0(F(q)),1). According to Lemma 5.7, one gets Ω(c0,1). It follows by use of Lemma 5.10 that

    limp(supKZpkKΩkc0)MΘχ4limp(supKZpkKΩkc0).

    Moreover, Lemma 5.1 implies that

    kKΩkc0=kKΩk1=(m=0|kKωkm|),

    which ends the proof.

    This theorem entails the corollary below.

    Corollary 5.12.

    (a) MΘ is compact for Θ(c0(F(q)),) if

    limkm=0|ωkm|=0.

    (b) MΘ is compact for Θ(c0(F(q)),c) iff

    limkm=0|ωkmωm|=0.

    (c) MΘ is compact for Θ(c0(F(q)),c0) iff

    limkm=0|ωkm|=0.

    (d) MΘ is compact for Θ(c0(F(q)),1) iff

    limpΘ(p)(c0(F(q)),1)=0,

    where Θ(p)(c0(F(q)),1)=supKZp(m=0|kKωkm|).

    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 p and .

    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 (p),c0(p),c(p), or (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.

    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.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    All authors declare no conflicts of interest in this paper.



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