Abstract
In this study, as the domain of four-dimensional backward difference matrix in the space \(\mathcal {L}_u(t)\), we introduce the complete paranormed space \(\mathcal {BV}(t)\) of bounded variation double sequences and examine some properties of that space. Also, we determine the \(\gamma \)-dual and \(\beta (\vartheta )\)-dual of the space \(\mathcal {BV}(t)\). Finally, we characterize the classes \((\mathcal {BV}(t):\mathcal {M}_{u})\), \((\mathcal {BV}(t):\mathcal {C}_{\vartheta })\) and \((\mathcal {L}_u(t):\mu )\) with \(\mu \in \{\mathcal {BS},\mathcal {CS}_{\vartheta },\mathcal {M}_{u}(\Delta ),\mathcal {C}_{\vartheta }(\Delta )\}\), where \(\mathcal {M}_{u}(\Delta )\) and \(\mathcal {C}_{\vartheta }(\Delta )\) denote the spaces of all double sequences whose \(\Delta \)-transforms are in the spaces \(\mathcal {M}_{u}\) and \(\mathcal {C}_{\vartheta }\), respectively.
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1 Introduction
We denote the set of all real- or complex-valued double sequences by \(\Omega \) which is a vector space with coordinatewise addition and scalar multiplication. Any subspace of \(\Omega \) is called as a double sequence space. We write \(\mathcal {M}_u\), \(\mathcal {C}_p\), \(\mathcal {C}_{bp}\) and \(\mathcal {C}_r\) for the spaces of bounded, convergent in the Pringsheim’s sense, both convergent in the Pringsheim’s sense and bounded, and regularly convergent double sequences, respectively. Here and after, unless stated otherwise we assume that \(\vartheta \) denotes any of the symbols p, bp or r.
Let \(\lambda \) be a space of double sequences, converging with respect to some linear convergence rule \(\vartheta -\lim :\lambda \rightarrow \mathbb {C}\). The sum of a double series \(\sum _{k,l}x_{kl}\) with respect to this rule is defined by \(\vartheta -\sum _{k,l}x_{kl}=\vartheta -{\lim }_{m,n\rightarrow \infty }\sum _{k,l=0}^{m,n}x_{kl}\). In short, throughout the text the summations without limits run from 0 to \(\infty \), for example \(\sum _{k,l}x_{kl}\) means that \(\sum _{k,l=0}^{\infty }x_{kl}\). The \(\alpha \)-dual\(\lambda ^{\alpha }\), the \(\beta (\vartheta )\)-dual\(\lambda ^{\beta (\vartheta )}\) with respect to the \(\vartheta \)-convergence and the \(\gamma \)-dual\(\lambda ^{\gamma }\) of a double sequence space \(\lambda \) are, respectively, defined by
It is easy to see for any two spaces \(\lambda \) and \(\mu \) of double sequences that \(\mu ^\zeta \subset \lambda ^\zeta \) whenever \(\lambda \subset \mu \). Also, \(\lambda ^\alpha \subset \lambda ^{\beta (\vartheta )}\) and \(\lambda ^\alpha \subset \lambda ^\gamma \). Furthermore, \(\lambda ^{\beta (\vartheta )}\subset \lambda ^\gamma \) for \(\vartheta \in \{bp,r\}\).
Let \(\lambda \) and \(\mu \) be two double sequence spaces, and \(A=(a_{mnkl})\) be any four-dimensional complex infinite matrix. Then, we say that A defines a matrix mapping from \(\lambda \) into \(\mu \) and we write \(A:\lambda \rightarrow \mu \), if for every sequence \(x=(x_{kl})\in \lambda \) the A-transform \(Ax=\{(Ax)_{mn}\}_{m,n\in \mathbb {N}}\) of x exists and is in \(\mu \), where \(\mathbb {N}=\{0,1,2,\ldots \}\) and
We define the \(\vartheta \)-summability domain\(\lambda _{A}^{(\vartheta )}\) of A in a space \(\lambda \) of double sequences by
We say with the notation (1.1) that A maps the space \(\lambda \) into the space \(\mu \) if \(\lambda \subset \mu _{A}^{(\vartheta )}\) and we denote the set of all four-dimensional matrices, transforming the space \(\lambda \) into the space \(\mu \), by \((\lambda :\mu )\). Thus, \(A=(a_{mnkl})\in (\lambda :\mu )\) if and only if the double series on the right side of (1.1) converges in the sense of \(\vartheta \) for each \(m,n\in \mathbb {N}\), i.e., \(A_{mn}\in \lambda ^{\beta (\vartheta )}\) for all \(m,n\in \mathbb {N}\) and every \(x\in \lambda \), and we have \(Ax\in \mu \) for all \(x\in \lambda \), where \(A_{mn}=(a_{mnkl})_{k,l\in \mathbb {N}}\) for all \(m,n\in \mathbb {N}\). If in \(\lambda \) and \(\mu \) there is some notion of limit or sum, then we write \((\lambda :\mu ;P)\) to denote the subset of \((\lambda :\mu )\) which preserves the limit or sum with boundedness. That is, if \(\left\{ (Ax)_{mn}\right\} \) converges to the same limit L whenever \(x=(x_{kl})\) is convergent in the Pringsheim’s sense with the limit L and bounded, then the transformation is said to be bounded regular or RH-regular. In this paper, we only consider bp-summability domain.
For all \(m,n,k,l\in \mathbb {N}\), we say that \(A=(a_{mnkl})\) is a triangular matrix if \(a_{mnkl}=0\) for \(k>m\) or \(l>n\) or both [1]. Following Adams [1], we also say that a triangular matrix \(A=(a_{mnkl})\) is called a triangle if \(a_{mnmn}\ne 0\) for all \(m,n\in \mathbb {N}\).
Türkmenoǧlu (Gökhan) [34] characterized the classes \((\mathcal {C}_{bp}(t):\mathcal {C}_{p}(t);P)\) and \((\mathcal {L}_{u}(t):\mathcal {M}_{u})\) of four-dimensional matrices. Zeltser [44] essentially studied both the theory of topological double sequence spaces and the theory of summability of double sequences in her PhD thesis. Gökhan and Çolak [12,13,14] defined the spaces \(\mathcal {M}_{u}(t)\), \(\mathcal {C}_{p}(t)\), \(\mathcal {C}_{0p}(t)\), \(\mathcal {C}_{bp}(t)\) and \(\mathcal {L}_{u}(t)\), where \(t=(t_{kl})\) is a double sequence of strictly positive real numbers \(t_{kl}\) and
Altay and Başar [2] defined the spaces \(\mathcal {BS}\), \(\mathcal {BS}(t)\), \(\mathcal {CS}_\vartheta \) and \(\mathcal {BV}\) of double series whose sequence of partial sums are in the spaces \(\mathcal {M}_u\), \(\mathcal {M}_u(t)\), \(\mathcal {C}_\vartheta \) and \(\mathcal {L}_{u}\), respectively, and also examined some properties of those spaces. Here and after, by \(t=(t_{kl})\) and \(t'=(t'_{kl})\), we denote the double sequence of strictly positive real numbers and any bounded sequence of strictly positive real numbers, respectively, such that \(t^{-1}_{kl}+t'^{-1}_{kl}=1\) for all \(k,l\in \mathbb {N}\). Başar and Sever [4] introduced the Banach space \(\mathcal {L}_{q}\) of absolutely q-summable double sequences corresponding to the well-known space \(\ell _q\) of absolutely q-summable single sequences and studied some properties of the space \(\mathcal {L}_{q}\) with \(1\le q<\infty \). Gökhan et al. [15] characterized the matrix classes \((\mathcal {C}_{bp}(t):\mathcal {C}_{bp})\), \((\mathcal {C}_{bp}(t):\mathcal {C}_{bp};P)\), \((\mathcal {C}_{bp0}(t):\mathcal {C}_{p0}(t'))\), \((\mathcal {C}_{bp}(t):\mathcal {C}_{p0}(t'))\), \((\mathcal {M}_{u}(t):\mathcal {C}_{p0}(t'))\). Mursaleen and Başar [16] have introduced the spaces \(\widetilde{\mathcal {M}}_{u}\), \(\widetilde{\mathcal {C}}_{\vartheta }\) and \(\widetilde{\mathcal {L}}_{s}\) of double sequences whose Cesàro transforms are in the spaces \(\mathcal {M}_u\), \(\mathcal {C}_\vartheta \) and \(\mathcal {L}_{s}\), respectively. Quite recently, Demiriz and Duyar [11] have introduced the spaces \(\mathcal {M}_{u}(\Delta )\), \(\mathcal {C}_{p}(\Delta )\), \(\mathcal {C}_{0p}(\Delta )\), \(\mathcal {C}_{bp}(\Delta )\), \(\mathcal {C}_{r}(\Delta )\) and \(\mathcal {L}_{q}(\Delta )\) of double sequences whose difference transforms are bounded, convergent in the Pringsheim’s sense, null in the Pringsheim’s sense, both convergent in the Pringsheim’s sense and bounded, and regularly convergent and absolutely q-summable, respectively, and also, they have examined some inclusion relations concerning with those sequence spaces. Quite recently, Yeşilkayagil and Başar [35,36,37,38,39,40,41,42,43], Başar and Çapan [5, 6], Çapan and Başar [7,8,9,10] and Tuǧ [31,32,33] have worked on the normed/paranormed spaces of double sequences and domain of triangle matrices in these spaces, and matrix transformations. Patterson has studied the characterization of the classes of four-dimensional matrices, in [18,19,20,21,22,23,24,25]. We should note that by using functional analysis techniques Talebi has recently obtained various properties of linear operators represented by four-dimensional triangle matrices between certain spaces of double sequences, in [26,27,28,29,30]. The reader can refer to the textbooks Başar [3] and Mursaleen and Mohiuddine [17] for relevant terminology and required details on the double sequences and related topics.
The four-dimensional backward difference matrix \(\Delta =(d_{mnkl})\) is defined by
for all \(m,n,k,l\in \mathbb {N}\). Therefore, the \(\Delta \)-transform of a double sequence \(x=(x_{mn})\) is given by
for all \(m,n\in \mathbb {N}\). Additionally, a direct calculation gives the inverse \(\Delta ^{-1}=S=(s_{mnkl})\) of the triangle matrix \(\Delta \) as follows:
for all \(k,l,m,n\in \mathbb {N}\). Here, we can redefine the relation between the double sequences \(x=(x_{mn})\) and \(y=(y_{kl})\) by summation matrix S as follows:
for all \(m,n\in \mathbb {N}\). Throughout the paper, we suppose that the terms of the double sequences \(x=(x_{mn})\) and \(y=(y_{mn})\) are connected with the relation (1.2), and we use the convention that any term with negative subscript is equal to zero.
In the present paper, we introduce the new paranormed space \(\mathcal {BV}(t)\) of bounded variation double sequences; that is, \(\mathcal {BV}(t)\) is defined by
2 The Space \(\mathcal {BV}(t)\) of Double Sequences
This section is devoted to certain algebraic and topological properties of the paranormed space \(\mathcal {BV}(t)\) of bounded variation double sequences.
Theorem 2.1
Let \(0<t_{mn}\le H={\sup }_{m,n\in \mathbb {N}}t_{mn}<\infty \) and \(M=\max \{1,H\}\). Then, the set \(\mathcal {BV}(t)\) is a linear space with the coordinatewise addition and scalar multiplication and is a complete linear metric space paranormed by g defined by
which is linearly isomorphic to the spaces \(\mathcal {L}_u(t)\).
Proof
One can easily show the first part of the theorem by a routine verification. So, we omit the detail.
Consider the transformation T defined from \(\mathcal {BV}(t) \) to \(\mathcal {L}_u(t)\) by \(x\mapsto y=Tx=\{(\Delta x)_{mn}\}\), where the sequences x and y are connected with the relation (1.2). It is trivial that T is linear and injective.
Let \(y=(y_{mn})\in \mathcal {L}_u(t)\) and define the sequence \(x=(x_{kl})\) via y by (1.4). Therefore, by taking into account the hypothesis \(y\in \mathcal {L}_u(t)\) one can derive the following equality
which gives that \(x\in \mathcal {BV}(t)\). Therefore, T is surjective.
This step concludes the proof. \(\square \)
Theorem 2.2
Neither of the spaces \(\mathcal {L}_u(t)\) and \(\mathcal {BV}(t) \) includes the other one.
Proof
Define the double sequences \(t=(t_{mn})\) and \(x=(x_{mn})\) by
for all \(m,n\in \mathbb {N}\), respectively. Then, it is obvious that
that is, \(x\in \mathcal {L}_u(t)\). But
i.e., \(x\notin \mathcal {BV}(t)\).
Now, choose the sequence \(y=(y_{mn})\) defined by \(y_{mn}=1\) for all \(m,n\in \mathbb {N}\). Obviously, \(y\in \mathcal {BV}(t)\). Nevertheless, since
for all \(m,n\in \mathbb {N}\), \(y\notin \mathcal {L}_u(t)\).
This completes the proof. \(\square \)
A double sequence space \(\lambda \) is said to be solid (cf. [4, p. 153]) if and only if
A double sequence space \(\lambda \) is said to be monotone if \(xu=(x_{kl}u_{kl})\in \lambda \) for every \(x=(x_{kl})\in \lambda \) and \(u=(u_{kl})\in \{0,1\}^{\mathbb {N}\times \mathbb {N}}\), where \(\{0,1\}^{\mathbb {N}\times \mathbb {N}}\) denotes the set of all double sequences consisting of 0s and 1s. If \(\lambda \) is monotone, then \(\lambda ^{\alpha }=\lambda ^{\beta (\vartheta )}\) [44, p. 36], and \(\lambda \) is monotone whenever \(\lambda \) is solid.
Theorem 2.3
The double sequence space \( \mathcal {BV}(t)\) is not monotone.
Proof
Let us consider the double sequence \(x=(x_{mn})\) defined by
for all \(m,n\in \mathbb {N}\). Thus, we have
that is, \(x\in \mathcal {BV}(t)\). Now, we consider the double sequence \(u=(u_{mn})\in \{0,1\}^{\mathbb {N}\times \mathbb {N}}\) defined by
and let \(z=(z_{mn})=(x_{mn}u_{mn})\). Hence,
that is, \(z\notin \mathcal {BV}(t)\).
This step completes the proof. \(\square \)
As a natural consequence of Theorem 2.3, we have.
Corollary 2.4
The space \(\mathcal {BV}(t)\) is not solid.
3 The Gamma and Beta Duals of the New Space of Double Sequences
In this section, we determine the \(\gamma \)-dual and \(\beta (\vartheta )\)-dual of the sequence space \(\mathcal {BV}(t)\).
Lemma 3.1
[34, Theorem 2] Let \(A=(a_{mnkl})\) be any four-dimensional matrix. Then, the following statements hold:
- (i)
Let \(0<{\inf }_{k,l\in \mathbb {N}}t_{kl}\le t_{kl}\le 1\) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {L}_u(t):\mathcal {M}_{u})\) if and only if
$$\begin{aligned} \sup _{m,n,k,l\in \mathbb {N}}|a_{mnkl}|^{t_{kl}}<\infty . \end{aligned}$$(3.1) - (ii)
Let \(1< t_{kl}\le {\sup }_{k,l\in \mathbb {N}}t_{kl}=H< \infty \) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {L}_u(t):\mathcal {M}_{u})\) if and only if there exists an integer \(B>1\) such that
$$\begin{aligned} \sup _{m,n\in \mathbb {N}}\sum _{k,l}\left| a_{mnkl}B^{-1}\right| ^{t'_{kl}}<\infty . \end{aligned}$$(3.2)
Lemma 3.2
[8, Theorem 3.1] Let \(A=(a_{mnkl})\) be any four-dimensional matrix. Then, the following statements hold:
- (i)
Let \(0< {\inf }_{k,l\in \mathbb {N}}t_{kl}\le t_{kl}\le 1\) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {L}_u(t):\mathcal {C}_{\vartheta })\) if and only if the condition (3.1) holds and
$$\begin{aligned}&\exists \alpha _{kl}\in \mathbb {C} \text { such that } \vartheta -\lim _{m,n\rightarrow \infty }a_{mnkl}=\alpha _{kl}\text { exists for all } k,l\in \mathbb {N}. \end{aligned}$$(3.3) - (ii)
Let \(1< t_{kl}\le {\sup }_{k,l\in \mathbb {N}}t_{kl}=H< \infty \) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {L}_u(t):\mathcal {C}_{\vartheta })\) if and only if the conditions (3.1)–(3.3) hold.
Lemma 3.3
[14, Theorem 10] Let \(1< t_{kl}\) for all \(k,l\in \mathbb {N}\). Define the set \(M_2(t)\) by
Then, \(\{\mathcal {L}_u(t)\}^{\alpha }=\{\mathcal {L}_u(t)\}^{\beta (\vartheta )}=\{\mathcal {L}_u(t)\}^{\gamma }=M_2(t)\).
Lemma 3.4
[14, Theorem 11] Let \(0< {\inf }_{k,l\in \mathbb {N}}t_{kl}\le t_{kl}\le 1\) for all \(k,l\in \mathbb {N}\). Then, \(\{\mathcal {L}_u(t)\}^{\alpha }=\{\mathcal {L}_u(t)\}^{\beta (\vartheta ) }=\{\mathcal {L}_u(t)\}^{\gamma }=M_u(t)\).
Theorem 3.5
Define the sets \(D_1\), \(D_2\), \(D_3\) and \(D_4\), as follows:
Then, the following statements hold:
- (i)
If \(0<\inf _{k,l\in \mathbb {N}}t_{kl}<t_{kl}\le 1\) for all \(k,l\in \mathbb {N}\), then \(\{\mathcal {BV}(t)\}^{\gamma }=D_1\) and \(\{\mathcal {BV}(t)\}^{\beta (bp)}=D_1\cap D_2\).
- (ii)
If \(1< t_{kl}\le H=\sup _{k,l\in \mathbb {N}} < \infty \) for all \(k,l\in \mathbb {N}\), then \(\{\mathcal {BV}(t)\}^{\gamma }=D_3\) and \(\{\mathcal {BV}(t)\}^{\beta (bp)}=D_1\cap D_2\cap D_3\).
Proof
(i) Let \(0<\inf _{k,l\in \mathbb {N}}t_{kl}<t_{kl}\le 1\) for all \(k,l\in \mathbb {N}\) and \(x=(x_{kl})\in \mathcal {BV}(t)\). Then, from Theorem 2.1 there exists a double sequence \(y=(y_{kl})\in \mathcal {L}_u(t)\) via x by (1.2). Define the double sequence \(z=(z_{mn})\) with respect to the double sequence \(a=(a_{kl})\in \{\mathcal {BV}(t)\}^\gamma \) such that \(z_{mn}=\sum _{k,l=0}^{m,n}a_{kl}x_{kl}\). Then, we easily derive with (1.4) that
for all \(m,n\in \mathbb {N}\), where the four-dimensional matrix \(B=(b_{mnkl})\) is defined by
for all \(m,n,k,l\in \mathbb {N}\). Thus, we see that \(ax=(a_{mn}x_{mn})\in \mathcal {BS}\) whenever \(x=(x_{mn})\in \mathcal {BV}(t)\) if and only if \(z=(z_{mn})\in \mathcal {M}_u\) whenever \(y=(y_{mn})\in \mathcal {L}_u(t)\). This leads us to the fact that \(B\in (\mathcal {L}_u(t):\mathcal {M}_u)\). Therefore, we obtain from Part (i) of Lemma 3.1 that \(\{\mathcal {BV}(t)\}^{\gamma }=D_1\).
For determining the \(\beta (bp)\)-dual of the space \(\mathcal {BV}(t)\), take any \(a=(a_{kl})\in \{\mathcal {BV}(t)\}^{\beta (bp)}\). It is easily seen from (3.4) that \(ax=(a_{mn}x_{mn})\in \mathcal {CS}_{bp}\) whenever \(x=(x_{mn})\in \mathcal {BV}(t)\) if and only if \(z=(z_{mn})\in \mathcal {C}_{bp}\) whenever \(y=(y_{mn})\in \mathcal {L}_u(t)\). Therefore, we derive from Part (i) of Lemma 3.2 that \(\{\mathcal {BV}(t)\}^{\beta (bp)}=D_1\cap D_2\).
(ii) This is easily obtained by proceeding as in the proof of Part (i), above by using Parts (ii) of Lemmas 3.1 and 3.2, respectively. So, we omit the detail. \(\square \)
Corollary 3.6
Define the sets \(D_4\) and \(D_5\) as
Then, we have the following statements:
- (i)
If \(0<\inf _{k,l\in \mathbb {N}}t_{kl}<t_{kl}\le 1\) for all \(k,l\in \mathbb {N}\), then \(\{\mathcal {BV}(t)\}^{\beta (p)}=D_1\cap D_4\) and \( \{\mathcal {BV}(t)\}^{\beta (r)}=D_1\cap D_5\).
- (ii)
If \(1< t_{kl}\le H=\sup _{k,l\in \mathbb {N}} < \infty \) for all \(k,l\in \mathbb {N}\), then \(\{\mathcal {BV}(t)\}^{\beta (p)}=D_1\cap D_3\cap D_4\) and \(\{\mathcal {BV}(t)\}^{\beta (r)}=D_1\cap D_3\cap D_5\).
Remark 3.7
Since the class \((\mathcal {L}_u(t):\mathcal {L}_u)\) of four-dimensional matrices is not yet characterized, the \(\alpha \)-dual of the new space was not given.
4 Characterization of Some Matrix Classes
In this section, we characterize the classes of four-dimensional matrix transformations from the spaces \(\mathcal {L}_u(t)\) and \(\mathcal {BV}(t)\) to any of the spaces \(\mathcal {C}_{\vartheta }\), \(\mathcal {CS}_{\vartheta }\), \(\mathcal {BS}\), \(\mathcal {M}_{u}(\Delta )\) and \(\mathcal {C}_{\vartheta }(\Delta )\).
Let \(A=(a_{mnkl})\) be any four-dimensional matrix and \(F=(f_{mnkl})\) be a four-dimensional triangle matrix such that \(f_{mnkl}=0\) for \(k>m\) and \(l>n\) for all \(k,l,m,n\in \mathbb {N}\) with the inverse \(F^{-1}=(h_{mnkl})\). We define the four-dimensional matrices \(E=(e_{mnkl})\) and \(G=(g_{mnkl})\) via A and F by
where A and E are the four-dimensional usual dual summability matrices introduced by Yeşilkayagil and Başar [35]. It is immediate that (4.1) is equivalent to the following relations
for all \(k,l,m,n\in \mathbb {N}\). In the rest of the text, we suppose that the elements of the matrices A, E and G are connected with the relations given in (4.2). For simplicity in the notation, we write that
for all \(k,l,m,n\in \mathbb {N}\).
Theorem 4.1
Let \(\lambda \) and \(\mu \) be any given two double sequence spaces. Then, \(A\in (\lambda _{F}:\mu )\) if and only if \(A_{mn}\in \lambda _F^{\beta (\vartheta )}\) for all \(m,n \in \mathbb {N} \) and \(E\in (\lambda :\mu )\).
Proof
Suppose that (4.2) holds and let \(A\in (\lambda _{F}:\mu )\), and take any \(u\in \lambda \), where \(u=Fv\) for \(v\in \lambda _F\). Since \(EF=AF^{-1}F=A\), EF exists and \(A_{mn}\in \lambda _F^{\beta (\vartheta )}\) for each \(m,n\in \mathbb {N}\). Hence, \(Eu=EFv=Av\) which leads us to the consequence that \(E\in (\lambda :\mu )\).
Conversely, assume that \(A_{mn}\in \lambda _F^{\beta (\vartheta )}\) for each fixed \(m,n\in \mathbb {N}\) and \(E\in (\lambda :\mu )\), let \(v\in \lambda _F\) and let \(Fv=u\in \lambda \). Since \(Eu=EFv=Av\) and by the hypothesis, Av exists and is in \(\mu \). This shows that \(A\in (\lambda _F:\mu )\).
This completes the proof. \(\square \)
Now, we can give the following lemma.
Lemma 4.2
[42, Theorem 4.7] Let \(\lambda \) and \(\mu \) be any two given double sequence spaces. Then, \(A\in (\lambda :\mu _{F})\) if and only if \(G\in (\lambda :\mu )\).
It is trivial that Theorem 4.1 and Lemma 4.2 enable the characterization of the classes of linear transformations on/into the domain of several four-dimensional triangle matrices in certain spaces of double sequences. In other words, since the double sequence spaces \(\mu \) and \(\mu _{F}\) are linearly isomorphic, Theorem 4.1 and Lemma 4.2 have several consequences depending on the choice of the spaces \(\lambda \) and \(\mu \), and a four-dimensional triangle matrix \(F=(f_{mnkl})\). Indeed, if we choose \(\lambda =\mathcal {L}_{u}(t)\), \(\mu \in \{\mathcal {M}_{u},\mathcal {C}_{bp}\}\) and \(F\in \{S,\Delta \}\), then we obtain the following results from Theorem 4.1 and Lemmas 3.1, 3.2 and 4.2, respectively.
Corollary 4.3
Let \(A=(a_{mnkl})\) be any four-dimensional matrix. Then, the following statements hold:
- (i)
Let \(0<{\inf }_{k,l\in \mathbb {N}}t_{kl}\le t_{kl}\le 1\) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {BV}(t):\mathcal {M}_{u})\) if and only if (3.1) holds with b(m, n, k, l) instead of \(a_{mnkl}\) and \(A_{mn}\in \{\mathcal {BV}(t)\}^{\beta (\vartheta )}\) for all \(m,n\in \mathbb {N}\).
- (ii)
Let \(1< t_{kl}\le {\sup }_{k,l\in \mathbb {N}}t_{kl}=H< \infty \) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {BV}(t):\mathcal {M}_{u})\) if and only if (3.2) holds with b(m, n, k, l) instead of \(a_{mnkl}\), and \(A_{mn}\in \{\mathcal {BV}(t)\}^{\beta (\vartheta )}\) for all \(m,n\in \mathbb {N}\).
Corollary 4.4
Let \(A=(a_{mnkl})\) be any four-dimensional matrix. Then, the following statements hold:
- (i)
Let \(0<{\inf }_{k,l\in \mathbb {N}}t_{kl}\le t_{kl}\le 1\) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {BV}(t):\mathcal {C}_{\vartheta })\) if and only if (3.1) and (3.3) hold with b(m, n, k, l) instead of \(a_{mnkl}\), and \(A_{mn}\in \{\mathcal {BV}(t)\}^{\beta (\vartheta )}\) for all \(m,n\in \mathbb {N}\).
- (ii)
Let \(1< t_{kl}\le {\sup }_{k,l\in \mathbb {N}}t_{kl}=H< \infty \) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {BV}(t):\mathcal {C}_{\vartheta })\) if and only if (3.1)–(3.3) hold with b(m, n, k, l) instead of \(a_{mnkl}\), and \(A_{mn}\in \{\mathcal {BV}(t)\}^{\beta (\vartheta )}\) for all \(m,n\in \mathbb {N}\).
Corollary 4.5
Let \(A=(a_{mnkl})\) be any four-dimensional matrix. Then, the following statements hold:
- (i)
Let \(0<{\inf }_{k,l\in \mathbb {N}}t_{kl}\le t_{kl}\le 1\) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {L}_u(t):\mathcal {BS})\) if and only if (3.1) holds with a(m, n, k, l) instead of \(a_{mnkl}\).
- (ii)
Let \(1< t_{kl}\le {\sup }_{k,l\in \mathbb {N}}t_{kl}=H< \infty \) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {L}_u(t):\mathcal {BS})\) if and only if (3.2) holds with a(m, n, k, l) instead of \(a_{mnkl}\).
Corollary 4.6
Let \(A=(a_{mnkl})\) be any four-dimensional matrix. Then, the following statements hold:
- (i)
Let \(0<{\inf }_{k,l\in \mathbb {N}}t_{kl}\le t_{kl}\le 1\) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {L}_u(t):\mathcal {CS}_{\vartheta })\) if and only if the conditions (3.1) and (3.3) hold with a(m, n, k, l) instead of \(a_{mnkl}\).
- (ii)
Let \(1< t_{kl}\le {\sup }_{k,l\in \mathbb {N}}t_{kl}=H< \infty \) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {L}_u(t):\mathcal {CS}_{\vartheta })\) if and only if the conditions (3.1)–(3.3) hold with a(m, n, k, l) instead of \(a_{mnkl}\).
Corollary 4.7
Let \(A=(a_{mnkl})\) be any four-dimensional matrix. Then, the following statements hold:
- (i)
Let \(0< {\inf }_{k,l\in \mathbb {N}}t_{kl}\le t_{kl}\le 1\) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {L}_u(t):\mathcal {M}_{u}(\Delta ))\) if and only if (3.1) holds with d(m, n, k, l) instead of \(a_{mnkl}\).
- (ii)
Let \(1< t_{kl}\le {\sup }_{k,l\in \mathbb {N}}t_{kl}=H< \infty \) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {L}_u(t):\mathcal {M}_{u}(\Delta ))\) if and only if (3.2) holds with d(m, n, k, l) instead of \(a_{mnkl}\).
Corollary 4.8
Let \(A=(a_{mnkl})\) be any four-dimensional matrix. Then, the following statements hold:
- (i)
Let \(0<{\inf }_{k,l\in \mathbb {N}}t_{kl}\le t_{kl}\le 1\) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {L}_u(t):\mathcal {C}_{\vartheta }(\Delta ))\) if and only if the conditions (3.1) and (3.3) hold with d(m, n, k, l) instead of \(a_{mnkl}\).
- (ii)
Let \(1< t_{kl}\le {\sup }_{k,l\in \mathbb {N}}t_{kl}=H< \infty \) for all \(k,l\in \mathbb {N}\). Then, \(A=(a_{mnkl})\in (\mathcal {L}_u(t):\mathcal {C}_{\vartheta }(\Delta ))\) if and only if the conditions (3.1)–(3.3) hold with d(m, n, k, l) instead of \(a_{mnkl}\).
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Acknowledgements
We have a lot benefited from the excellent review, so we are indebted to three anonymous referees for helpful advices and constructive criticism on the earlier version of this paper. Also, we are very grateful to Dr. Hüsamettin Çapan for his thorough correction of the manuscript and careful reading of the earlier version of this paper which improved the presentation and readability.
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Yeşilkayagil, M., Başar, F. On the Paranormed Space of Bounded Variation Double Sequences. Bull. Malays. Math. Sci. Soc. 43, 2701–2712 (2020). https://doi.org/10.1007/s40840-019-00829-2
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DOI: https://doi.org/10.1007/s40840-019-00829-2
Keywords
- Summability theory
- Double sequences
- Double series
- Alpha, beta and gamma duals
- Matrix domain of four-dimensional matrices
- Matrix transformations