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1. Introduction, Notations, and Preliminaries
By the symbol we mean the set consisting of all complex-valued double sequences. That is,where the symbol is the set of all complex numbers and is the set of natural numbers. Any linear subspace of is called a double sequence space. A double sequence is called convergent in Pringsheim’s sense to a limit point if for every , there exists a natural number and such that for all . Therefore, we write . Moreover, a double sequence is called regularly convergent if it is single convergent according to each index. Furthermore, a double sequence is called bounded if . Now, we can define the classical double sequence spaces, namely, , , , , , , , and . The respective definitions are as follows: represents the space of all bounded sequences, contains sequences convergent in Pringsheim’s sense, denotes the null space of , consists of sequences in , , accommodates regular convergent sequences, denotes the null space of , and encompasses absolutely summable sequences, where . As a significant contribution by Móricz [1], it was shown that the spaces , , , , and are Banach spaces when endowed with the supremum norm .
A double sequence space is said to be a space if it is a local convex space, and all the seminorms defined on by are continuous. When such a space occupies a Frèchet topology, then it is called an space. If we have a normed space, then it is referred to as a space. Three well-known examples of spaces are , , and , where the norm is given by
The double series is represented by the notation and is considered convergent with respect to if its partial sum converges as , that is, there exists in which .
The collection of convergent series is represented as , where . Moreover by , , and , we represent the set of all bounded series, a set comprising double sequences with bounded variation, and the null space of , respectively (see [2, 3]).
Sever [4] defined the residual component of a double series as follows:
One can observe here that if a series is convergent by means of , then the residual component of the series must be a null sequence.
Let denote the section of a double sequence expressed bywhere for every is defined with and for , which was defined by Zeltser [5]. Let be an arbitrary double sequence space and suppose that it contains , where . Zeltser [5] defined the space to be an space if each has the property in the set , i.e., for an arbitrary , we have
Moreover, in the same paper [5], Zeltser introduced the double sequences and with the following definitions:
i. , where every element in the lth column is , and the rest are
ii. , where all terms of the kth row are , and the rest are .
iii. , where all terms are .
For all , let be a double sequence space. Then, we define the differentiated and integrated spaces of , respectively, as follows:
Let be a four-dimensional (4D) infinite matrix. Then, defines a matrix transformation., where . That is, maps into , wherefor all .
Now, we define the sets , , and in order to consider them in the main results of the paper.
Then, the sets , , and can be defined by the 4D matrix domain in the sequence space , , and where
Consider . Then, the spaces , , and are Banach spaces endowed with their natural norms and expressed as respectively. Since is not empty, we can easily see that the following inclusions:strictly hold, where .
Now, we give a literature review focusing on the Hahn sequence space from a single sequence perspective, before starting the investigation of the Hahn double sequence space.
Hahn [6] defined the space as follows:where represents the forward difference operator, i.e., for all . Here, denotes the set of sequences with complex values and refers to the set of sequences converging to . Hahn [6] proved that is a when equipped with the normfor all .
Rao [7] extended the study of and established that the Banach space has property with the normfor all
Goes [8] investigated the generalized Hahn sequence space by considering an arbitrary negative or positive but not zero sequences for all . The space is defined as follows:
Most recently, Malkowsky, Rakočević, and Tuǧ [9] further extended the concept of the Hahn sequence space by studying with unbounded sequence , where and for all . Then, Tu et al. [10] studied the generalized Hahn sequence space , where .
This research investigates the newly defined Hahn double sequence space by focusing on its topological characteristics, inclusion relations, dual spaces, and matrix transformations. The study explores whether this space possesses completeness and Banach structure under specific norms and inclusion relations with classical double sequence spaces. Dual spaces will be characterized by deriving bounded functionals and analyzing their structural properties. Matrix transformations will be studied to determine necessary and sufficient conditions for matrices to map from the space into some double sequence space or vice versa.
This work employs functional analysis, topology, and operator theory approaches, supported by some numerical and counterexamples to increase clarity and validate the proposed outcomes. This study aims to provide a comprehensive framework for understanding double sequence spaces and their applications by adding a new and very interesting double sequence space .
2. The Hahn Double Sequence Space
In the current section, we begin by introducing the Hahn double sequence space . Then, we study some topological structures exhibited by . In addition, we establish several strict inclusion relations among the known double sequence spaces within the space .
We define Hahn double sequence space, denoted as , in the following manner:where represents the 4D forward difference operator, i.e., , and .
Theorem 1.
i. The spaces and are complete normed spaces due to the norm
ii. The space is a complete seminormed space, where the seminorm is given by
Proof.
i. Let . Showing that the norm defined in equation (17) for satisfies the norm axioms is straightforward. Therefore, we only investigate the completeness of the space . We define a Cauchy sequence . Then, it gives
and , , in which
for every . For the fixed natural numbers , and for all and all one obtains
Thus, it can be deduced from (20) and (21) that
Now, letting limit as according to the convergence, and since for all , one obtains
for all . Consequently, is a Cauchy sequence in for every . As is complete, converges, i.e.,
where for all natural numbers . Let be given. Then, we obtain by (20) and (21) that
for all . Thus, the following inequality is obtained by letting the limit on (25) as and by (24):
Since were arbitrary, we can write the following:
for all .
To show that , we obtain the following inequality by using (24) and by letting limit as for every , that is:
Therefore, . By utilizing (27), it follows for every that
Thus, we conclude the proof by
ii. It closely resembles the proof of Theorem 1. Hence, we choose to omit it.
Theorem 2.
The space , where , is an space.
Proof.
Suppose that and that . Then, it follows thatfor all . Then,holds. Let us define the sequences and asfor all , respectively. Then, one obtains
Since the series converges, then by (33) and (34), the series and also converge. Therefore, the general terms of the series approach to zero as and , respectively. Hence, we conclude the proof by using (31),as desired.
Theorem 3.
Each of the given assertions is strictly true.
i.
ii.
Proof.
i. Assume that is in the space . Then, the sequence will be in the space since the following inequality:
holds for every . Therefore, the inclusion holds. Now, we must show that the set is not empty. Consider , then it is clear that .
ii. First, we show that the inclusion holds. To do that, let us take a sequence , that is, and . Since we can write inequality (36), then we can clearly see that . Thus, .
Now, to prove that the inclusion strictly holds, we must show that the set is not empty. Consider as given in the following expression:
Clearly . Therefore, the transform of the sequence is calculated as
Hence, one obtains
However, it is apparent that
Therefore, , but . It completes the proof.
Theorem 4.
Neither the space nor the space include each other.
Proof.
We provide two counterexamples to establish the theorem.
i. Choose a sequence defined for all as follows:
It is clear that . Moreover, we obtain that
for all . Therefore,
However,
Thus, the set is nonempty.
ii. Take defined by the following expression:
for all . Clearly, . Moreover, we obtain thatThus, . However,which shows . Therefore, the set is not empty, too.The following corollary is immediate from the relations:and
Corollary 1.
The inclusion strictly holds.
3. The Dual Spaces of
Within this section, we undertake the computation of the algebraic dual, as well as , , and dual of the space . Before starting the section’s main content, we perform some elementary calculations and establish the following lemmas, which are the keys in obtaining our main results.
Let us take , where , , and . Then, we write
Adding both sides of the above equations ranging from to , we obtainThus, by letting limit over the equality in (51) as , we getsince .
Now, we write the following lemma with the specific case for from the results ([11], Theorem 4.1.(i), Theorem 4.2., and Theorem 4.3.(i)), respectively, as:
Lemma 1.
Each of the following assertions holds:
i. A 4D matrix iff
ii. A matrix iff
iii. A matrix iff the condition in (53) holds, and there exists satisfying
Theorem 5.
Assume to be any one of the space , , or . Then, , where
Proof.
Let be given a double sequence and let us consider the following equality:where is defined byfor every natural number . It follows from the equality in (57) with Lemma 1(ii) that whenever if whenever . This shows that whenever if . That is to say that the condition stated in (54) is satisfied with replacing . This proves that .
Now, we give the following lemma for double sequences (cf. Wilansky [[12], Theorem 7.2.9] for single sequences).
Lemma 2.
Let be a space with , and be the space of linear continuous functionals on . Then, can be identified with by the isomorphism
Since has if every can be written in the form , where and .
Proof.
First, we show that is a well-defined operator. Suppose , we must show that , that is, the sequence is -convergent. Since is a space with , we can say that for each , there exists a sequence in whichfor some sequences . Therefore,
Now, let us show that is -convergent. This is seen from the fact that each component of is a convergent sequence in . Thus, .
Moreover, the linearity of is clear. To show that is an isomorphism, we must show that it is bijective. Suppose for some . Then, for any , , which implies that . Since is arbitrary, therefore, is injective. Now, let . Since has , for any , there exists in which . We have this because has if every can be written as , where and . Therefore, is surjective, too. Hence, it is now clearly seen that is a well-defined linear isomorphism.
Theorem 6.
Let . The continuous dual and dual of the space are norm isomorphic.
Proof.
Suppose that . It is established that is a space and has by Theorems 1 and 2, respectively. Moreover, the spaces and are isomorphic by Remark 3.3. Therefore, it is sufficient to prove the fact thatfor all represented by the sequence in whichfor all
Suppose that and that in which . Moreover, let and Therefore, by utilizing Abel’s double summability by parts, it follows thatwhere
It is known by Theorem 2 that the space has , and given , we obtain that
Hence, by using the continuity of , we get thatand henceNow, assume that , and that which belongs to the space and
Therefore,
Since were arbitrary and (69) holds, we obtain that
Hence, we get the equality by the results (68) and (71). The proof is thus completed.
Theorem 7.
.
Proof.
Suppose that and . Then, we havefor all positive integers , where is defined byfor all natural numbers . Then, by using (72) and Lemma 1(iii), we obtain that whenever if whenever . Therefore, if As a result, the conditions in (53) and (55) hold with instead of , that is,
This shows that and . Moreover, it is easy to see by (11) that . Thus, we conclude that .
Theorem 8.
.
Proof.
Utilizing a comparable approach to that used in Theorem 7, the proof can be summarized as follows.
We have from the equality in (72) and Lemma 1(i) that whenever if whenever . Therefore, if in which the condition stated in (53) is satisfied with replacing . Therefore, the condition in (74) holds which shows that . Thus, it gives the result that .
4. Matrix Mappings From and Into the Space
Within this section, we represent the matrix transformations that operate both from and into the sequence space . First, we characterize the matrix classes , where . Then, we define determining a set of and then we characterize the matrix class . Moreover, we determine the essential conditions of the matrix classes , where and , where .
In the entirety of this text, we presume that is a matrix over .
Theorem 9.
iffwhere the matrix is given by
Proof.
Assume that . Consequently, exists for every and contains in for every positive integer and . The necessity of the condition stated in (76) is clear by considering the entries of the sequence as for all .
Assume that Then, we deduce the subsequent equation aswhere is given as in (78). By letting the limit as , we deduce the fact that . In this case, we say that for every , exists for all natural numbers if for every , exists for all That is to say that if , which indicates the requirement for (77).
Conversely, we assume that the conditions in (76) and (77) are satisfied and the relation (78) between the 4D infinite matrices and is given. Since the condition (76) holds, exists for every . Moreover, the equation given in (79) and the condition in (77) show the existence of . Therefore, .
Corollary 2.
Each of the following statements are valid:
i. iff (76) holds, and the condition stated in (53) is satisfied with replacing .
ii. iff (76) holds, and the condition stated in (54) is satisfied with replacing .
iii. iff (76) holds, and the conditions stated in (53) and (55) are satisfied with replacing .
Definition 1.
See ([12], Definition 7.4.2) Let be a space. A subset of the set is called a determining set for if is the absolutely convex hull of .
Theorem 10.
Consider the set consisting of all sequences in , each having nonzero elements given bywhere occupies the place and all other entries are zero. Then, it follows that is a determining set for .
Proof.
Let , where represents the space of all finite double sequences, and is the absolutely convex hull of . We must prove that by showing that the inclusionshold. First, we show the inclusion (81). Suppose that . Since , we obtain, for any positive inter and thatholds, where and for any positive integer and . This can inferred from the fact that for each and
Moreover, it is observed thatTherefore, , which proves (81).
Now, suppose that . Then, there are natural numbers such that
Since for each , that is, for all or or both, by using the relation in (51), and for all and , we obtain thatFurthermore, since for each we have that
Hence, . Thus, the inclusion (82) is established. The result immediately follows from the inclusions (81) and (82).
Now, we give the following lemma for double sequence spaces concerning the notation in ([12], Theorem 8.3.4) as follows.
Lemma 3.
Let be a space with , be a determining set for , be an space, and be a 4D matrix. Suppose that either has or is row finite. Then, iff
i. The columns of belong to , that is, for all .
ii. is a bounded subset of , where for all .
Proof.
Assume that . Then, is bounded in , that is, for all and some positive constant . For each fixed , let us consider the column of , which is denoted by . We need to show that . Now, for each , we haveNow, if we consider the term in the series defined by , we will have . Then, by the definition of -convergence,where
Since and , where is a sequence in . Therefore, for all natural numbers and , and by definition of space, the sequence is convergent with respect to and hence belongs to . Thus, condition (i) is satisfied. Moreover, , and is bounded in , and it follows that is bounded for all natural numbers and Hence, condition (ii) suffices.
Conversely, assume that the conditions stated in (i) and (ii) hold true. Then, we have the following facts:
i. Since each column of belongs to , by definition of , we have for all .
ii. Since is bounded, satisfies for all .
Now, let be arbitrary. By definition of space, , where for all natural numbers and . Then, we have
Since each is bounded, it shows that is also bounded, that is, . This ends the proof.
Theorem 11.
iffwhere .
Proof.
Since is a space with by Theorems 1 and 2, and is a determining set of by Theorem 10, we apply Lemma 3 with which is a space with with its norm defined by (17). Let and . Then,
Therefore, we have two results as follows:
Then, we obtain by (96) thatfor all . Thus, it is clearly seen that the conditions in (94) and (96) are equivalent.
Moreover, the condition (97) shows clearly that the condition in (93) also holds. This ends the proof.
The given result is obtained by considering the determining set of the double sequence space and by utilizing Lemma 2. We employ the norm of the space , where , respectively.
Corollary 3.
Let . Then, each of the following statements is valid for infinite matrix .
i. iff
ii. iff (93) and (99) hold.
iii. iff
iv. iff (100) holds and
v. iff (100) holds.
Theorem 12.
Let us establish the relationship between the terms of the matrices and as follows:Then, the 4D matrix if where is any given double sequence space.
Proof.
First, we assume that . Therefore, for every , exists, and contains in . Then, considering the relation stated in (103), we deduce thatfor all . By letting , we deduce thatfor all natural numbers and . Consequently, it can be observed that whenever if whenever . Therefore, we conclude that if .
Let . Since the proof can be performed by taking the determining set of the double sequence space , Lemma 3, and Theorem 12 into consideration, and by using the norm and the space with , where , respectively, we give the following theorem without its proof.
Theorem 13.
Assume . Then, each of the following assertions is valid for 4D infinite matrix :
i. iff (93) holds and
ii. iff (93) holds and
iii. iff (93) and (107) hold, and
iv. iff
5. Conclusion
Most recently, Demiriz and Duyar [13], Çapan and Başar [14], and Tu, Rako evi, and Malkowsky [2] introduced and studied the new spaces and and , where , respectively. Within this work, we introduced double sequence space , where and we studied various topological and algebraic aspects, and we proved several containment relations. Moreover, we computed the algebraic dual and duals of the Hahn double sequence space . Finally, we characterized the classes , where and , where .
As an extension of this research, the computation of matrix domains within the Hahn double sequence space , and characterization of some novel matrix classes from and into remain open for further exploration, and some can follow the studies [13, 15–17] recently published on double sequence theory.
Disclosure
The earlier version of the paper was submitted to ArXiv as a preprint (see [18]).
Funding
No funds were applied for this research.
References
[1] F. Moricz, "Extensions of the Spaces c and c 0 from Single to Double Sequences," Acta Mathematica Hungarica, vol. 57 no. 1-2, pp. 129-136, DOI: 10.1007/bf01903811, 1991.
[2] O. Tuǧ, V. Rakočević, E. Malkowsky, "On the Spaces BV ϑ0 of Double Sequences of Bounded Variation," Asian-European Journal of Mathematics, vol. 15 no. 11,DOI: 10.1142/S1793557122502047, 2022.
[3] B. Altay, F. Başar, "Some New Spaces of Double Sequences," Journal of Mathematical Analysis and Applications, vol. 309 no. 1, pp. 70-90, DOI: 10.1016/j.jmaa.2004.12.020, 2005.
[4] Y. Sever, On Double Sequence and Double Series, 2006.
[5] M.. Zeltser, Investigation of Double Sequence Spaces by Soft and Hard Analytical Methods, 2001.
[6] H.. Hahn, "Über Folgen Linearer Operationen," Monatshefte für Mathematik und Physik, vol. 32 no. 1,DOI: 10.1007/bf01696876, 1922.
[7] K. C.. Rao, "The Hahn Sequence Space," Bulletin of the Calcutta Mathematical Society, vol. 82, pp. 72-78, 1990.
[8] G. Goes, "Sequences of Bounded Variation and Sequences of Fourier Coefficients. II," Journal of Mathematical Analysis and Applications, vol. 39 no. 2, pp. 477-494, DOI: 10.1016/0022-247x(72)90218-1, 1972.
[9] E. Malkowsky, V. Rakočević, O. Tuǧ, "Compact Operators on the Hahn Space," Monatshefte für Mathematik, vol. 196 no. 3, pp. 519-551, DOI: 10.1007/s00605-021-01588-8, 2021.
[10] O. Tuğ, E. Malkowsky, B. Hazarika, T. Yaying, "On the New Generalized Hahn Sequence Space h d p," Abstract and Applied Analysis, vol. 2022 no. 1,DOI: 10.1155/2022/6832559, 2022.
[11] M. Yeşilkayagil, F. Başar, "On the Domain of Riesz Mean in the Space ℒ s," Filomat, vol. 31 no. 4, pp. 925-940, DOI: 10.2298/FIL1704925Y, 2017.
[12] A. Wilansky, Summability through Functional Analysis, 2000.
[13] S. Demiriz, O. Duyar, "Domain of Difference Matrix of Order One in Some Spaces of Double Sequences," Gulf Journal of Mathematics, vol. 3 no. 3,DOI: 10.56947/gjom.v3i3.150, 2015.
[14] H. Capan, F. Basar, "On Some Spaces Isomorphic to the Space of Absolutely Q-Summable Double Sequences," Kyungpook Mathematical Journal, vol. 58 no. 2, pp. 271-289, 2018.
[15] S. Erdem, S. Demiriz, "A New RH‐Regular Matrix Derived by Jordan’s Function and its Domains on Some Double Sequence Spaces," Journal of Function Spaces, vol. 2021 no. 1, pp. 5594751-5594759, DOI: 10.1155/2021/5594751, 2021.
[16] S. Demiriz, S. Erdem, "Domain of Binomial Matrix in Some Spaces of Double Sequences," Punjab University Journal of Mathematics, vol. 52 no. 11, 2020.
[17] S. Erdem, S. Demiriz, "q -Cesàro Double Sequence Space ℒ˜sq$$\tilde {\cal L}_s^q$$ Derived by q -Analog," Annales Universitatis Paedagogicae Cracoviensis. Studia Mathematica, vol. 22 no. 1, pp. 111-126, DOI: 10.2478/aupcsm-2023-0009, 2023.
[18] O. Tuǧ, E. Malkowsky, V. Rakočević, T. Yaying, "On the Double Sequence Space H ϑ as an Extension of Hahn Space H," ,DOI: 10.48550/arXiv.2406.05117, 2024.