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. 2025 Aug 20;20(8):e0329210. doi: 10.1371/journal.pone.0329210

A study on q-analogue of generalized Motzkin sequence spaces, their matrix transformations and compact operators

Jun-Jie Quan 1,#, Devia Narrania 2,#, Kuldip Raj 2,#, Qing-Bo Cai 3,*,#
Editor: Nikhil Khanna4
PMCID: PMC12367174  PMID: 40834035

Abstract

In this article, we have constructed generalized q-difference Motzkin sequence spaces M0q(Δqm), Mcq(Δqm), Mpq(Δqm) and Mq(Δqm) by composing q-Motzkin matrix with generalized q-difference matrix in the spaces c0,c,lp,l, respectively and explore their topological properties. We determine the bases for Mcq(Δqm) and M0q(Δqm) and compute α-, β- and γ-duals of the newly defined spaces. Further, we characterize some class of matrix mappings from the spaces M0q(Δqm) and Mcq(Δqm) to the spaces c,c0,cs,cs0,l,l1,bs. Lastly, compact operators are characterized on the spaces M0q(Δqm) using Hausdorff measure of noncompactness.

Introduction

Sequence spaces have played a vital role across various branches of mathematics, such as functional analysis, operator theory, and approximation theory. The importance of sequence spaces has sparked considerable interest among researchers in summability theory. They have introduced and investigated different types of sequence spaces to uncover their unique properties. For example l, lp, c, c0, denote the spaces of all bounded, p-summable, convergent and null sequences, respectively. Further, cs,cs0,bs denote the spaces of all convergent, null and bounded series, respectively. Throughout the paper, we will denote N, R and C as the set of all natural, real and complex numbers, respectively. A sequence space X is called an FK-space if it is a complete linear metric space with continuous coordinates pn:XC and pn(x)=xn for all x=(xk)X,nN, and a normed FK-space is called a BK-space. For example, c,c0 and l are BK spaces with the norm x=suprN|xr|. Also, lp is a BK-space with the norm defined by xlp=(k=0|xk|p)1p,1p<.

Let ω,Ψ denote the set of all real sequences and the set of all finite sequences, respectively. An FK-space XΨ is said to have AK if every x=(xk)X has a unique representation x=k=0xke(k), where e(k) is the sequence whose only non-zero term is 1 in the kth place for each kN [1]. The spaces c0 and lp have AK [2].

The primary objective of classical theory revolves around the generalization of convergence concepts for both series and sequences. Its main goal is to provide a framework through which limits can be assigned to series and sequences that do not exhibit convergence. This is achieved through the use of transformations defined by infinite matrices. The preference for utilizing matrices, rather than general linear mappings, is based on the fact that a linear mapping between two sequence spaces can be represented by an infinite matrix.

Let Z and W be two sequence spaces and P=(ank) be an infinite matrix of real or complex numbers ank, for n,k0=N{0}. Then P defines a matrix mapping from Z to W, if Px=((Px)n)W, for every sequence x=(xk)Z, where

(Px)n=k=0ankxk,where nN0. (1)

The set of all these matrices is represented by the notation (Z,W). A sequence (xk) is Psummable to L if the sequence Px converges to L. We say that P maps Z regularly into W if limkxk=limPx,  (xk)Z and we denote the space of such matrices by (Z,W)reg.

The matrix domain XP of matrix P in the space X is a sequence space which is defined by

XP={xω:PxX}.

It holds considerable importance in the development of new sequence spaces. Moreover, if P is a triangle and X is a BK-space then XP is a BK-space. Many researchers have used this idea to construct new Banach sequence spaces by applying it to special triangles. To know about these sequence spaces, one can see [39].

Quantum calculus, often denoted as q-calculus, is a crucial mathematical tool that goes beyond traditional calculus. It plays a transformative role at the intersection of mathematics and physics. For the first time, relations between these topics especially quantum calculus (q-calculus) and q-differential operators were studied by Jackson in [10]. It has a lot of applications in different mathematical areas such as: orthogonal polynomials, hyper-geometric functions, number theory, complex analysis, combinatorics, matrix summability, approximation theory, quantum physics, particle physics, the theory of relativity, etc. For instance, Demiriz and Şahin [11] and Yaying et al. [12] developed sequence spaces using q-Cesàro matrix. Additionally, Yaying et al. [13] studied (p,q) analogue of Euler sequence spaces. Recently, Atabey et al. [14] developed q-Fibonnaci sequence spaces, Ellidokuzoglu and Demiriz [15] constructed q-difference sequence spaces of order m. For more work on q-sequence spaces, one can see [1620] and references therein. One can see the basic notations on q-calculus in [21]. For q>0 and any positive integer a, a q-number is defined by

[a]=[a]q={1-qa1-q, if q1,a,q=1.

For the integers 0ka, q–binomial coefficients are defined by

(ak)q=[a]q![k]q![ak]q!,

where the q–factorial [a]q! of a is given by

[a]q!={[a][a-1]...[1],a1,1,a=0.

The q-difference operator Δq(v) of v=(v0,v1,v2,) is defined by

Δq(v)=(v0v1,q(v1v2),q2(v2v3),q3(v3v4),)

and the generalized q-difference operator Δqm is defined by

(Δqmv)i,j=qmji=jm(1)ijq(ij2)(mij)qvi=qmji=0m(1)iq(i2)(mi)qvi+j.

The generalized q-difference matrix Δqm=(δqm)ij is given by

(δqm)ij={(1)ijq(ij2)(mij)q,0ji0,j>i

and its inverse (Δqm)1=(δqm)ij1 is given by

(δqm)ij1={(1)ijq(ij)(ijm)(ij2)(mij)q=(m+ji1ji)q,0ji0,j>i.

Motzkin numbers, named after Theodore Motzkin, are a remarkable sequence of integers. In mathematics, the rth Motzkin number represents the count of distinct chords that can be drawn between r points on a circle without intersecting. It is important to note that the chords do not necessarily have to touch all the points on the circle.

Motzkin numbers, denoted as Mr(r0), find diverse applications in various mathematical fields such as geometry, combinatorics, and number theory. They possess a recursive nature and hold significant combinatorial properties, which make them valuable tools in multiple areas of mathematics, algorithmic analysis, and even practical applications like coding theory. The Motzkin numbers have proven to be a rich source of mathematical exploration and have contributed to the understanding of fundamental concepts in different disciplines. They are represented by the following sequence:

1,1,2,4,9,21,51,127,323,835,2188,5798,15511,41835,

The Motzkin numbers satisfy the recurrence relations

Mr=Mr1+s=0r2MsMrs2=2r+1r+2Mr1+3r3r+2Mr2.

Another relation provided by the Motzkin numbers is given below:

Mr+2Mr+1=s=0rMsMrs, for r0.

For more detail on Motzkin numbers one can refer to [22]. Erdem et al. [23] defined the Motzkin matrix M=(mrs) as

𝔪rs={MsMrsMr+2Mr+1,0sr0,s>r,

for all r,s and its inverse 1=(𝔪rs1) is given as

𝔪rs1={(1)rsMs+2Ms+1MrPrs,0sr0,s>r,

where P0 = 1 and

Pr=|M1M0000M2M1M000M3M2M1M00MrMr1Mr2Mr3M1|,

for all r.

Motivated by the aforementioned works on q-calculus, the application of q-difference operators, and Motzkin numbers in various mathematical and scientific disciplines, in section 2, we construct generalized Motzkin sequence spaces 0q(Δqm), cq(Δqm), pq(Δqm), and q(Δqm) using q-difference operators. Section 3 explores some topological properties and establishes the Köthe duals of the spaces 0q(Δqm), cq(Δqm), pq(Δqm), and q(Δqm). Section 4 presents theorems and corollaries related to matrix transformations from the spaces 0q(Δqm) and cq(Δqm) into the classical sequence spaces ,c,c0,1,bs,cs,cs0. Section 5 investigates the compactness of certain operators defined on the space 0q(Δqm). Finally, Section 6 summarizes the main findings of the manuscript.

Some new sequences spaces

We proceed by introducing q-Motzkin matrix Mq=(mrsq) as follows:

𝔪rsq={qsMs(q)Mrs(q)Mr+2(q)Mr+1(q),0sr0,s>r,

for all r,s.

Now, using the generalized q-difference matrix and q-Motzkin matrix, we define the generalized q-difference Motzkin sequence spaces M0q(Δqm), Mcq(Δqm), Mpq(Δqm) and Mq(Δqm) as follows:

Mcq(Δqm)={v=(vs)ω:limrs=0rq(m+1)sMs(q)Mrs(q)Mr+2(q)Mr+1(q)i=0s(1)iq(i2)(mi)qvi+s exists },
M0q(Δqm)={v=(vs)ω:limrs=0rq(m+1)sMs(q)Mrs(q)Mr+2(q)Mr+1(q)i=0s(1)iq(i2)(mi)qvi+s=0},
Mpq(Δqm)={v=(vs)ω:r=0|s=0rq(m+1)sMs(q)Mrs(q)Mr+2(q)Mr+1(q)i=0s(1)iq(i2)(mi)qvi+s|p<}

and

Mq(Δqm)={v=(vs)ω:suprN0|s=0rq(m+1)sMs(q)Mrs(q)Mr+2(q)Mr+1(q)i=0s(1)iq(i2)(mi)qvi+s|<}.

Let u = (ur) be the Mq(Δqm)transform of a sequence v=(vs), which is given by the expression:

ur=(Mq(Δqm)v)r=s=0rqsMs(q)Mrs(q)Mr+2(q)Mr+1(q)qmsi=0s(1)iq(i2)(mi)qvi+s, (2)

for all rN0. Define P0(q) = 1 and

Pv(q)=|M1(q)M0(q)000M2(q)M1(q)M0(q)00M3(q)M2(q)M1(q)M0(q)0Mr(q)Mr1(q)Mr2(q)Mr3(q)M1(q)|,

for all v.

Then, using Eq (2), we have

vs=j=0s(1)sjMj+2(q)Mj+1(q)Ms(q)Psj(q)qs(m+sj1sj)quj, (3)

for each sN0. Throughout the paper, u and v are related by Eq (2), or equivalently by Eq (3).

Theorem 2.1.

  • 1. Mcq(Δqm), M0q(Δqm) and Mq(Δqm) are BK-spaces endowed with the norm defined by vMcq(Δqm)=vM0q(Δqm)=vMq(Δqm)
    =suprN0|s=0rq(m+1)sMs(q)Mrs(q)Mr+2(q)Mr+1(q)i=0s(1)iq(i2)(mi)qvi+s|.
  • 2. Mpq(Δqm) is a BK-spaces endowed with the norm defined by
    vMpq(Δqm)=(r=0|s=0rq(m+1)sMs(q)Mrs(q)Mr+2(q)Mr+1(q)i=0s(1)iq(i2)(mi)qvi+s|p)1p.

Proof: The sequence spaces lp,l,c,c0 are BK–spaces with their natural norms and Mq(Δqm) is a triangle matrix. Thus, (i) and (ii) follows immediately by using Wilansky’s work [24]. □

Theorem 2.2. The spaces Mcq(Δqm), M0q(Δqm), Mpq(Δqm) and Mq(Δqm) are linearly isomorphic to c, c0, lp and l, respectively.

Proof: We only prove this Theorem for the space M0q(Δqm) and c0. Define the mapping S:M0q(Δqm)c0 by S(u)=Mq(Δqm)u, for all uM0q(Δqm) is invertible which implies that S is a norm preserving linear bijection. Hence, M0q(Δqm)c0.

Definition 2.1. A sequence v=(vs)X is called a Schauder basis for a normed space (X,.), if for every yX, there is a unique sequence of scalars (αs) such that

limnys=0nαsvs=0.

Now, we construct bases for the spaces Mcq(Δqm) and M0q(Δqm). We recall that the matrix domain XP has a basis if and only if X has a basis. This statement together with Theorem 2.2 gives us the following result:

Theorem 2.3. Let us=(Mq(Δqm)v)s, for all sN0. For every fixed sN0, define the sequence ξ(s)(q)=(ξr(s)(q)) of the elements of the space M0q(Δqm) by

ξr(s)(q)={(1)rsMs+2(q)Ms+1(q)Mr(q)Prs(q)qr(m+rs1rs)q,0sr0,s>r.

Then

  • 1. the set {ξ(0)(q),ξ(1)(q),ξ(2)(q),} forms the basis for the space M0q(Δqm) and every vM0q(Δqm) has a unique representation v=s=0usξ(s)(q).

  • 2. the set {e,ξ(0)(q),ξ(1)(q),ξ(2)(q),} forms the basis for the space Mcq(Δqm) and every vMcq(Δqm) has a unique representation of the form v=we+s=0(usw)ξ(s)(q), where w=limsus=lims(Mq(Δqm)v)s.

Proof: 1. Clearly, Mq(Δqm)(ξr(s)(q))=(es)c0, where (es) is the sequence with 1 in the sth place and zeros elsewhere for each sN. Now for vM0q(Δqm) and nN, we define

v(n)=s=0nusξ(s)(q). (4)

By applying Mq(Δqm) to Eq (4), we have

Mq(Δqm)vr(n)=s=0nus(Mq(Δqm)ξr(s)(q))=s=0nuses.

Also,

Mq(Δqm)(vrvr(n))s={(Mq(Δqm)vr)s,s>n0,0sn.

Let ϵ>0 be arbitrary. We choose n0N such that

|(Mq(Δqm)vr)s|<ϵ2,  sn0.

Then, we have

vv(n)M0q(Δqm)=supsn(Mq(Δqm)vr)s
supsn0(Mq(Δqm)vr)s
<ϵ2<ϵ.

This implies v=s=0usξ(s)(q).

To show the uniqueness of this representation, let us assume that there exists v=s=0wsξ(s)(q). By the continuity of S transformation defined in the proof of the Theorem 2.2, we get

(Mq(Δqm)vr)s=s=0ws(Mq(Δqm)ξr(s)(q))s
=s=0ws(es)s,

which is a contradiction with the assumption that us=(Mq(Δqm)vr)s for each sN. Hence, the representation v=s=0usξ(s)(q) is unique.

2. In a similar manner as in (i), one can easily prove (ii). □

Theorem 2.4. lMq(Δqm).

Proof: Let vl. Then

vMq(Δqm)=suprN0|s=0rq(m+1)sMs(q)Mrs(q)Mr+2(q)Mr+1(q)i=0s(1)iq(i2)(mi)qvi+s|
vsuprN0|s=0rq(m+1)sMs(q)Mrs(q)Mr+2(q)Mr+1(q)i=0s(1)iq(i2)(mi)q|
=v<.

Thus, vMq(Δqm).

α-, β- and γ-duals

In this section, we compute α-, β- and γ-duals of the spaces Mcq(Δqm), M0q(Δqm), Mpq(Δqm) and Mq(Δqm). Before proceeding, we recall the definitions of α-, β- and γ-duals.

Definition 3.2. The α-, β- and γ-duals of a subset Xω are defined by

Xα={z=(zs)ω:zv=(zsvs)l1 for all vX},
Xβ={z=(zs)ω:zv=(zsvs)cs for all vX},
Xγ={z=(zs)ω:zv=(zsvs)bs for all vX},

respectively.

Before proceeding further, we recall certain lemmas from [25] that are necessary for determining the duals. Throughout the paper, let F denotes the family of all finite subsets of N0 and p^ be the compliment of p, that is, 1p^+1p=1.

Lemma 3.1. H=(hst)(c0,l1) if and only if

supAF(t=0|sAhst|)<. (5)

Lemma 3.2. H=(hst)(c0,c) if and only if

supsN0t=0s|hst|<, (6)
limshst exists for each tN0. (7)

Lemma 3.3. H=(hst)(c0,l) if and only if Eq (6) holds.

Theorem 3.5. Define the set a1(q) by

a1(q)={z=(zt)ω:supAF(t=0|sA(1)stMt+2(q)Mt+1(q)Ms(q)Pst(q)qs(m+st1st)qzs|)<}.

Then [Mcq(Δqm)]α=[M0q(Δqm)]α=a1(q).

Proof: Consider the following equality

zsvs=t=0s(1)stMt+2(q)Mt+1(q)Ms(q)Pst(q)qs(m+st1st)qzsut=(G(q)u)s, (8)

for all sN0, where the sequence (ut) is the Mq(Δqm)-transform of a sequence v=(vt) and the matrix G(q)=(gstq) is defined by

gstq={(1)stMt+2(q)Mt+1(q)Ms(q)Pst(q)qs(m+st1st)q,0ts0,t>s.

From equation Eq (8), we realize that (zv)=(zsvs)l1, whenever vM0q(Δqm) if and only if G(q)ul1, whenever uc0. Thus, we deduce that z = (zs) belongs to the α-dual of the spaces M0q(Δqm) if and only if the matrix G(q)(c0,l1). Thus, from Lemma 3.1, we conclude that the α-dual of the space M0q(Δqm) is a1(q). □

Theorem 3.6. Define the sets a2(q),a3(q) and a4(q) by

a2(q)={z=(zs)ω:s=t(1)stPst(q)qsMt+2(q)Mt+1(q)Ms(q)(m+st1st)qzs exists for each tN0},
a3(q)={z=(zs)ω:supsN0t=0s|j=ts(1)jtPjt(q)qjMt+2(q)Mt+1(q)Mj(q)(m+jt1jt)qzj|<},
a4(q)={z=(zs)ω:limst=0s|j=ts(1)jtPjt(q)qjMt+2(q)Mt+1(q)Mj(q)(m+jt1jt)qzj| exists}.

Then [M0q(Δqm)]β=a2(q)a3(q) and [Mcq(Δqm)]β=a2(q)a3(q)a4(q).

Proof: Consider the following equality

t=0sztvt=t=0s{j=0t(1)tjPtj(q)qtMj+2(q)Mj+1(q)Mt(q)(m+tj1tj)quj}zt=t=0s{j=ts(1)jtPjt(q)qjMt+2(q)Mt+1(q)Mj(q)(m+jt1jt)qzj}ut=(H(q)u)s, (9)

for each sN0, where the sequence u = (ut) is the Mq(Δqm)-transform of a sequence v=(vt) and the matrix H(q)=(hstq) is defined by

hstq={j=ts(1)jtPjt(q)qjMt+2(q)Mt+1(q)Mj(q)(m+jt1jt)qzj,0ts0,t>s

for all s,tN0. From equation Eq (9), we realize that zv=(zsvs)cs, whenever v=(vs)M0q(Δqm) if and only if H(q)uc whenever u=(ut)c0. Thus, we deduce that z = (zs) belongs to the β-dual of the space M0q(Δqm) if and only if the matrix H(q)(c0,c). Thus, from Lemma 3.2, we have supsN0t=0s|hstq|< and limshstq exists for each tN0. Thus, [M0q(Δqm)]β=a2(q)a3(q). □

Theorem 3.7. The γ-dual of the spaces M0q(Δqm) and Mcq(Δqm) is a3(q).

Proof: The proof is similar to the Theorem 3.6 except that Lemma 3.3 is employed instead of Lemma 3.2. □

Lemma 3.4. [2527]. The following statements holds true:

  • 1. H=(hst)(l,l) iff
    supsN0t=0|hst|<. (10)
  • 2. H=(hst)(l,c) iff
     there exists htC such that limshst=ht for all tN0, (11)
    limst=0|hst|=t=0|limshst|. (12)
  • 3. H=(hst)(l,l1) iff
    supAFt=0|sAhst|<. (13)
  • 4. H=(hst)(lp,l) iff
    supsN0t=0|hst|p^<,(1<p<) (14)
    sups,tN0|hst|p<,(0<p1). (15)
  • 5.
  • 6. H=(hst)(lp,l1) iff
    supAFsuptN0|sAhst|p<, (0<p1). (16)
    supAFt=0|sAhst|p^<., (1<p<). (17)

Theorem 3.8. Define the sets b1(q),b2(q) and b3(q) by

b1(q)={z=(zs)ω:supAFsuptN0|sA(1)stPst(q)qsMt+2(q)Mt+1(q)Ms(q)(m+st1st)qzs|p<},(0<p1),
b2(q)={z=(zs)ω:supAFt=0|sA(1)stPst(q)qsMt+2(q)Mt+1(q)Ms(q)(m+st1st)qzs|p^<},(1<p<)

and

b3(q)={z=(zs)ω:supAFt=0|sA(1)stPst(q)qsMt+2(q)Mt+1(q)Ms(q)(m+st1st)qzs|<}.

Then

  • 1. [Mpq(Δqm)]α={b1(q), if 0<p1b2(q), if 1<p<.

  • 2. [Mq(Δqm)]α=b3(q).

Proof: From equation Eq (8), we realize that (zv)=(zsvs)l1, whenever vMpq(Δqm) if and only if G(q)ul1, whenever ulp. Thus, we deduce that z = (zp) belongs to the α-dual of the spaces Mpq(Δqm) if and only if the matrix G(q)(lp,l1.) Thus, from Lemma 3.4/(vi), we conclude [Mpq(Δqm)]α={b1(q), if 0<p1b2(q), if 1<p<.

In a similar manner by utilizing Lemma 3.4/(iii) instead of Lemma 3.4/(vi), we get [Mq(Δqm)]α=b3(q). Hence, the result. □

Theorem 3.9. Define the sets b4(q),b5(q),b6(q),b7(q) by

b4(q)={z=(zs)ω:limsj=ts(1)jtPjt(q)qjMt+2(q)Mt+1(q)Mj(q)(m+jt1jt)qzj exists for each tN0},
b5(q)={z=(zs)ω:supt,sN0|j=ts(1)jtPjt(q)qjMt+2(q)Mt+1(q)Mj(q)(m+jt1jt)qzj|p<},(0<p1),
b6(q)={z=(zs)ω:supsN0t=0s|j=ts(1)jtPjt(q)qjMt+2(q)Mt+1(q)Mj(q)(m+jt1jt)qzj|p^<,

and

b7(q)={z=(zs)ω:limst=0|j=ts(1)jtPjt(q)qjMt+2(q)Mt+1(q)Mj(q)(m+jt1jt)qzj|=t=0|limsj=ts(1)jtPjt(q)qjMt+2(q)Mt+1(q)Mj(q)(m+jt1jt)qzj|}.

Then

  • 1. [Mpq(Δqm)]β={b4(q)b5(q),0<p1b4(q)b6(q),1<p<.

  • 2. [Mq(Δqm)]β=b3(q)b7(q).

Proof: From equation Eq (9), we realize that zv=(zsvs)cs whenever v=(vs)Mpq(Δqm) if and only if H(q)uc whenever u=(us)lp. This yields that z = (zs) belongs to the β-dual of the space Mpq(Δqm) if and only if the matrix H(q)(lp,c). Thus, from Lemma 3.4/(v), we have [Mpq(Δqm)]β={b4(q)b5(q), if 0<p1b4(q)b6(q), if 1<p<.

In a similar manner by utilizing Lemma 3.4/(ii) instead of Lemma 3.4/(v), we get [Mq(Δqm)]β=b3(q)b7(q). Hence, the result. □

Theorem 3.10. The following statements hold true:

  • 1. [Mpq(Δqm)]γ={b5(q), if 0<p1b6(q), if 1<p<.

  • 2. [Mq(Δqm)]γ=b6(q) with p^=1.

Matrix transformations on the spaces Mcq(Δqm) and M0q(Δqm)

In this section, we determine necessary and sufficient condition for a matrix transformation from the spaces Mcq(Δqm) and M0q(Δqm) to the spaces l,c,c0,l1,bs,cs,cs0. The following theorem is fundamental in our investigation.

Theorem 4.11. Let U be an arbitrary subset of ω. Then

  • 1. L=(lst)(M0q(Δqm);U) A(s)=(ajt(s))(c0,c) and A=(ast)(c0,U),

  • 2. L=(lst)(Mcq(Δqm);U) A(s)=(ajt(s))(c,c) and A=(ast)(c,U),

where

ajt(s)={i=tj(1)itPit(q)qiMt+2(q)Mt+1(q)Mi(q)(m+it1it)qlsi,0tj0,t>j

and

ast=i=t(1)itPit(q)qiMt+2(q)Mt+1(q)Mi(q)(m+it1it)qlsi, (18)

for all s,tN0.

Proof: The proof is similar to the proof of Theorem 4.1 of [7] and hence is omitted. □

Now, by using the results presented in [25] together with Theorem 4.11, we obtain the following results.

Corollary 4.1. The following statements hold:

  • 1. L=(lst)(M0q(Δqm);l) iff
    supjN0t=0|ajt(s)|<, (19)
    limjajt(s) exists for all tN0 hold and  (20)
    supsN0t=0s|ast|<, (21)

    also hold.

  • 2. L=(lst)(M0q(Δqm);c) iff Eq (19) and Eq (20) hold, and
    supsN0t=0|ast|<, (22)
    limsast exists for all tN0, (23)

    also hold.

  • 3. L=(lst)(M0q(Δqm);c0) ff Eq (19) and Eq (20) hold, and Eq (21) and
    limsast=0 for all tN0 (24)

    also hold.

  • 4. L=(lst)(M0q(Δqm);l1) iff Eq (19) and Eq (20) hold, and
    supAFt=0|sAast|<, (25)

    also hold.

  • 5. L=(lst)(M0q(Δqm);bs) iff Eq (19) and Eq (20) hold, and
    supsN0t=0|j=0sajt|<, (26)

    also hold.

  • 6. L=(lst)(M0q(Δqm);cs) iff Eq (19) and Eq (20) hold, and Eq (26) and
    s=0ast converges for all tN0, (27)

    also hold.

  • 7. L=(lst)(M0q(Δqm);cs0) iff Eq (19) and Eq (20) hold, and Eq (26) and
    s=0ast=0 for all tN0, (28)

    also hold.

Corollary 4.2. The following statements hold:

Compact operators on the spaces M0q(Δqm)

Let X and Y be Banach spaces. Let UX denotes the open ball in the space X and B(X,Y) be the set of all bounded linear operators T:XY, is a Banach space with the norm given by T=supxUXT(x)Y. Further, we denote zX*=supuUX|t=0ztut|, provided the expression on the right hand side exists and is finite [28]. A linear operator T:XY is said to be compact if the domain of T is all of X and for every bounded sequence (xn)X, the sequence (T(xn)) has a subsequence which converges in Y.

Let M be a bounded set in a metric space X. Then the Hausdorff measure of non-compactness(Hmnc) of M is defined by

χ(M)=inf{ϵ>0:Mk=0nB(zk,rk),zkX,rk<ϵ(k=0,1,2,,n),nN0},

where B(zk,rk) is the open ball centered at zk and radius rk for each k=0,1,2,,n. The operator T is compact if and only if Tχ=0, where Tχ denotes the Hmnc of T and is defined by Tχ=χ(T(UX)). For more details about Hmnc, one can see [29] and references therein. The Hmnc of a linear operator plays a role to characterize the compactness of an operator between BK spaces. For the relevant literature, see [3032].

Let X and Y be any two BK spaces, then every matrix P(X,Y) defines a linear operator TPB(X,Y), where TPz=Pz for all zX (see Theorem 3.2.4 of [33]). Moreover, if XΨ is a BK-space then TP=P(X,Y)=supnN0PX*< (see Theorem 1.23 of [29]).

Let z=(zt)ω and define a sequence v=(vt) as

vt=s=t(1)stPst(q)qsMt+2(q)Mt+1(q)Ms(q)(m+st1st)qzs

for all tN0.

Lemma 5.5. [34] lβ=cβ=c0β=l1 and zX*=zl1 for X{l,c,c0}.

Lemma 5.6. [29] Let Pn:c0c0 be the operator defined by Pn(x)=(x0,x1,x2,,xn,0,0,) for all x=(xn)c0. Then for any bounded subset M in c0, we have

χ(M)=limn(supxM(IPn)(x)c0),

where I is the identity operator on c0.

Lemma 5.7. Let z=(zt)[M0q(Δqm)]β. Then v=(vt)l1 and

tztxt=tvtyt (34)

for all x=(xt)M0q(Δqm).

Lemma 5.8. zM0q(Δqm)*=t|vt|< for all z=(zt)[M0q(Δqm)]β.

Proof: Let z=(zt)[M0q(Δqm)]β. Then, by Lemma 5.7, we have v=(vt)l1 and Eq (34) holds. Since, xM0q(Δqm)=yc0 holds, we get xUM0q(Δqm) if and only if yUc0. Hence, we conclude that

zM0q(Δqm)*=supxUM0q(Δqm)|tztxt|=supyUc0|tvtyt|=vc0*.

From Lemma 5.5, it follows that zM0q(Δqm)*=vc0*=vl1=t|vt|.

Lemma 5.9. Let Xω and L = (lst) be an infinite matrix. If L(M0q(Δqm),X), then A(c0,X) and Lx = Ay for all xM0q(Δqm), where L and A are related by the relation Eq (18).

Proof: The proof of this Lemma follows from Lemma 5.7. □

Lemma 5.10. TL=L(M0q(Δqm),U)=supsN0(t|ast|)< holds for L(M0q(Δqm),U), where U{c0,c,l}.

Lemma 5.11. [35] Let XΨ be a BK-space. Then the following statements hold.

  • 1. L(X,l), then 0TLχlim supsLsX* and TL is compact if and only if limsLsX*=0.

  • 2. L(X,c0), then TLχ=lim supsLsX* and TL is compact if and only if limsLsX* = 0.

  • 3. If X has AK or X=l and L(X,c), then 12lim supsLslX*TLχlim sups LslX*, where l = (lt) and lt=limslst for each tN0.

Lemma 5.12. [35] Let XΨ be a BK-space. If L(X,l1), then

limn(supAFnsALsX*)TLχ4limn(supAFnsALsX*)

and TL is compact if and only if limn(supAFnsALsX*)=0, where Fn is the sub-collection of F consisting of all nonempty and finite subsets of N with elements that are greater than n.

Theorem 5.12.

  • 1. If L(M0q(Δqm),l), then 0TLχlim supss|ast| holds.

  • 2. If L(M0q(Δqm),c), then 12lim supst|astlt|TLχlim supst|astlt| holds.

  • 3. If L(M0q(Δqm),c0), then TLχ=lim supst|ast| holds.

  • 4. If L(M0q(Δqm),l1), then limnL(M0q(Δqm),l1)(n)TLχ4limnL(M0q(Δqm),l1)(n) holds, where
    L(M0q(Δqm),l1)(n)=supAFn(t|sAast|)X* (nN0).

Proof:

  1. Let L(M0q(Δqm),l). Since the series t=1lstxt converges for each sN0, we have Ls[M0q(Δqm)]β. From Lemma 5.8, we have LsM0q(Δqm)*=Asc0*=Asl1=t|ast|, for each sN0. By using Lemma 5.11 (i), we deduce that 0TLχlim supss|ast|.

  2. Let L(M0q(Δqm),c). By Lemma 5.9, we have A(c0,c). Hence, from Lemma 5.11 (iii), we have 12lim supsAsac0*TLχlim supsAsac0*, where a = (at) and at=limsast for each tN0. Moreover, Lemma 5.7 implies that Asac0*=Asal1=(t|astat|) for each sN0.

  3. Let L(M0q(Δqm),c). Since, LsM0q(Δqm)*=Asc0*=Asl1=t|ast|, for each sN0, from Lemma 5.11(ii), we have TLχ=lim supst|ast|.

  4. Let L(M0q(Δqm),l1). By Lemma 5.9, we have A(c0,l1). From Lemma 5.12, it follows that
    limn(supAFnsAAsc0*)TLχ4limn(supAFnsAAsc0*).

    Moreover, Lemma 5.5 implies that sFAsc0*=sFAsl1=(t|sFast|).

Corollary 5.3.

  • 1. TL is compact for L(M0q(Δqm),l) if limst|ast|=0.

  • 2. TL is compact for L(M0q(Δqm),c) if and only if limst|astat|=0.

  • 3. TL is compact for L(M0q(Δqm),c0) if and only if limst|ast|=0.

  • 4. TL is compact for L(M0q(Δqm),l1) if and only if limnL(M0q(Δqm),l1)(n)=0, where L(M0q(Δqm),l1)(n)=supAFn(t|sAast|).

Conclusion

Due to the vast application of quantum calculus, Motzkin numbers and difference operator in various mathematical and scientific disciplines, we have constructed generalized q-difference Motzkin sequence spaces Mcq(Δqm), M0q(Δqm), Mpq(Δqm) and Mq(Δqm) and explore their topological properties. We determine Schauder bases for Mcq(Δqm) and M0q(Δqm) and compute α-, β- and γ-duals of the newly defined spaces. Further, we characterize some matrix mappings from the spaces M0q(Δqm) and Mcq(Δqm) to the spaces l,c,c0,l1,bs,cs,cs0. Lastly, compact operators are characterized on the spaces M0q(Δqm).

Acknowledgments

We thank Fujian Provincial Key Laboratory of Data-Intensive Computing, Fujian University Laboratory of Intelligent Computing and Information Processing and Fujian Provincial Big Data Research Institute of Intelligent Manufacturing of China.

Data Availability

All relevant data have been provided in the paper and its Supporting information files.

Funding Statement

This work is supported by Fujian Provincial Natural Science Foundation of China (Grant No. 2024J01792).

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Data Availability Statement

All relevant data have been provided in the paper and its Supporting information files.


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