On the Domain of Four-Dimensional Forward Difference Matrix in Some Double Sequence Spaces
Abstract.
In this paper, we introduce some new double sequence spaces and , where as the domains of the four-dimensional forward difference matrix in the double sequence spaces and , respectively. Then we investigate some topological and algebraic properties. Moreover, we determine the , , and duals of the new spaces and . Finally, we characterize four-dimensional matrix classes and , where and .
Key words and phrases:
Four-dimensional forward difference matrix; matrix domain; double sequence spaces; alpha-dual; beta-dual; gamma-dual; matrix transformations2010 Mathematics Subject Classification:
46A45, 40C05.1. Introduction
By , we denote the set of all complex valued double sequences; is a vector space with coordinatewise addition and scalar multiplication and any vector 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 , where denotes the complex field; this is denoted by . The space of all double sequences that are convergent in the Pringsheim sense is denoted by which is a linear space with coordinatewise addition and scalar multiplication. Mòricz [1] proved that the double sequence space is a complete seminormed space with the seminorm
The space of all null double sequences in Pringsheim’s sense is denoted by .
A double sequence of complex numbers is called bounded if , where , and the space of all bounded double sequences is denoted by , that is,
it is a Banach space with the norm .
Unlike as in the case of single sequences there are double sequences which are convergent in Pringsheim’s sense but unbounded. That is, the set is not empty. Boos [2] defined the sequence by
which is obviously in , i.e., , but not in the set , i.e., . Thus, .
We also consider the set of double sequences which are both convergent in Pringsheim’s sense and bounded, that is,
The set is a Banach space with the norm
Hardy [3] called a sequence in the space regularly convergent if it is a convergent single sequence with respect to each index. We denote the set of such double sequences by , that is,
where denotes the set of all convergent single sequences of complex numbers. Regular convergence requires the boundedness of double sequences; this is the main difference between regular convergence and the convergence in Pringsheim’s sense. We also use the notations and .
Throughout the text, unless otherwise stated we mean by the summation without limits run from to is .
The space of all absolutely summable double sequences was introduced by Başar and Sever [4] as follows
which is a Banach space with the norm defined by
Moreover, Zeltser [5] introduced the space which is the special case of the space for .
The double sequence spaces , , where , and were introduced by Altay and Başar [6]. The set of all double series whose sequences of partial sums are bounded is defined by
where the sequence is the partial sum of the series. The series space is a Banach space with norm defined as
(1.2) |
which is linearly isomorphic to the sequence space . The set of all series whose sequences of partial sums are convergent in Pringsheim’s sense is defined by
where . The space is a complete seminormed space with the seminorm defined by
which is isomorphic to the sequence space . Moreover, the sets and are also Banach spaces with the norm (1.2) and the inclusion holds. The set of all double sequences of bounded variation is defined by Altay and Başar [6] as follows
The space is Banach space with the norm defined by
which is linearly isomorphic to the space of absolutely convergent double series. Moreover, the inclusions and strictly hold.
Let be any double sequence space. Then,
Therefore, let and are arbitrary double sequences with then the inclusions , and hold. But the inclusion does not hold, since is not empty.
Let be an infinite four–dimensional matrix and , . We write
(1.3) |
We say that defines a matrix transformation from to if
(1.4) |
The summability domain of a four-dimensional infinite matrix in a double sequence space is defined by
which is a sequence space. The above notation (1.4) says that maps the space into the space if and we denote the set of all four-dimensional matrices that map the space into the space by . Thus, if and only if the double series on the right side of (1.4) converges for each , i.e, for all and we have for all .
Adams [7] defined that the four-dimensional infinite matrix is a triangular matrix if for or or both. We also say by [7] that a triangular matrix is called a triangle if for all . One can be observed easily that if is triangle, then and are linearly isomorphic.
Wilansky [8, Theorem 4.4.2, p. 66] defined that if is a sequence space, then the continuous dual of the space is given by
Zeltser [9] stated the notations of the double sequences and by
for all .
The four-dimensional forward difference matrix is defined by
for all . The transform of a double sequence is given by
for all . We shall briefly discuss which is the inverse of four-dimensional forward difference matrix , where . Let . Then we can show that is a finite summation of the original double sequence .
(1.7) |
If we write the equation (1.7) for
Then we add the left hand sides up to
for all . To be able to have instead of having we must write it as
(1.8) |
for all . With this result we can introduce the role of inverse four-dimensional forward difference operator on the double sequence , where , as the partial sum of the double sequence plus arbitrary constants on the first row and the first column of the double sequence .
2. New double sequence spaces
In this section, we introduce new double sequence spaces , , where , as the matrix domains of the four-dimensional matrix of the forward differences in the sequence spaces and as follow;
where for all .
Theorem 2.1.
The spaces and , where are Banach spaces with the norm
Proof.
The linearity of those spaces is clear. Suppose that is a Cauchy sequence in the space for all . Then
as . Thus, we obtain for and for every . Hence is a Cauchy sequence in for each . Since is complete, then it converges to a sequence , i.e., we have
for each . Therefore, for every , there exits a natural number , such that for all , and for all we have
Moreover,
for all . Hence, we obtain that
Now we must show that .
Hence . This completes the proof.
∎
Let . We define the operator form into itself, where as
for all . Clearly is a linear and bounded operator on .
Now we show that the four-dimensional forward difference operator is a linear homeomorphism.
(2.2) | |||||
where the set is defined by
and
Therefore, the spaces and are equivalent as topological spaces, and the and are norm preserving and . We prove the following Lemma 2.2 for the case by using the results in [1, Theorem 5., Remark 3., P.132]. Since the proofs of the other cases are similar to that of following Lemma 2.2, we left them as an exercise to the reader.
Lemma 2.2.
A linear functional on is continuous if and only if there exists a double sequence such that
(2.3) |
for all .
Proof.
First we show that , with for each is an isometric linear isomorphism, that is, we prove that is a bijection between and by with for each . Linearity is clear. Moreover, whenever , and hence is injective. Now suppose that , we define the sequence by with for each . Then we have,
It shows that and consequently is surjective and norm preserving. It completes the first part of the proof.
Now suppose that is a linear functional on . If is continuous, then is a continuous linear functional on . Then by [1, Remark 3.] there exists a double sequence such that
for all . It gives
for all . Conversely, if for all and for some , then
Therefore, and then we see that is a bounded(continuous) linear functional on . This completes the proof. ∎
Definition 2.3.
Let and be Banach spaces, and be the space of bounded linear operators from into . An operator is called an isometry if for all .
Now we denote the continuous duals of and by and , respectively. We may now show that the operator
is a linear isometry. Hence, , by [1, Remark 3.] we have , where , by [1, Theorem 8.] we have , where , and the sets and represent absolutely summable and bounded single sequence spaces, respectively.
Now we prove the following Theorem only for the case .
Theorem 2.4.
The continuous dual is isometrically isomorphic to .
3. Dual Spaces of the New Double Sequence Spaces
In this section, we determine the , and duals of our new double sequence spaces. First, we begin with some lemmas to determine the , and duals of the spaces , , where .
Lemma 3.1.
We have if and only if
-
(i)
,
-
(ii)
.
Proof.
Suppose that there exists a positive real number such that
Then
It is clearly seen that (i) is necessary. Moreover, by considering the condition (i) there exists positive real numbers such that
(3.1) | |||
(3.2) | |||
(3.3) |
Then we have
where . So it gives the necessity of (ii).
Now let us suppose that the conditions (i) and (ii) hold. By only considering the following inequality
we can see the necessity of .
∎
Lemma 3.2.
Let . If
then
Proof.
Let us consider Abel’s double partial summation on the partial sum of the series as in the following equation.
where for the double sequence
Since there exists a positive real number such that
(3.5) |
the equation (3) is written as
Therefore by passing to limit as , where , and taking supremum over , then the condition
is immediate. ∎
Lemma 3.3.
Let . If the series is convergent, then
Proof.
Since the partial sum of the series is convergent, where , we have
Then by using the equality (3) we write
If we let limit as , we reach the proof. ∎
Corollary 3.4.
Let and be any double sequence. Then
-
(i)
If , then
-
(ii)
If is convergent, then
-
(iii)
is convergent if and only if
where
Proof.
The proof of (i) and (ii) can be easily seen by writing instead of in Lemma 3.2, and writing instead of in Lemma 3.3, respectively.
To prove the corollary (iii), the following partial sum can be written by using Abel’s double summation formula that
Letting limit as , we obtain the statement in Part (iii). ∎
Let us define the following sets to be able to define the dual spaces of .
Theorem 3.5.
Let . Then
Proof.
We need to prove the existence of the inclusion relations and .
Suppose that , i.e., . Then by using Lemma 3.1 we have
for all . This shows that . Hence, the inclusion holds.
Now suppose that , i.e., for all . If we consider the double sequence as
(3.9) |
Then we have
which says . Hence, the inclusion holds. This concludes the proof. ∎
Theorem 3.6.
Let . Then .
Proof.
We should show the validity of the inclusions and .
Suppose that the double sequence and the sequence are defined with the relation (2.2) between the terms of the sequence and as
(3.10) |
where which is defined as
(3.15) |
Then, we have the following partial sum of the series that
Now, by the Corollary 3.4(iii), we can say that the sequence is convergent for every , since is convergent with as . This yields that and the inclusion holds.
Now, suppose that . Then the series is convergent for every . If we consider the sequence defined in (3.9) Then, we can observe that
and by the equality we have the following series
which is convergent as . Thus, . Moreover, by Corollary 3.4(ii) we can write that as for every , and . Therefore, . Hence the inclusion holds. This completes the proof. ∎
Theorem 3.7.
Let . Then , where .
Proof.
The proof can be done with the similar path as above by considering Corollary 3.4(i). So, we omit the repetition. ∎
4. Matrix Transformations
In this section we characterize the four-dimensional matrix mapping from the sequence space to and vice-versa. Then we conclude the section with some significant results.
Theorem 4.1.
The four-dimensional matrix if and only if
(4.1) | |||
(4.2) | |||
(4.3) |
where the four-dimensional matrix
(4.4) |
Proof.
Suppose that . Then, exists for every and is in for all . If we define the sequence by
(4.7) |
for all , then the necessity of (4.1) is clear. If we define the sequence as for all , then the necessity of (4.2) is also clear by Theorem 3.6. Moreover, by Theorem 3.6 we have for each .
Now suppose that let us consider the partial sum of the series by considering the relation between terms of the sequences and as in the following
where . We obtain by letting limit as and by considering the Corollary 3.4 that , that is for each . Therefore, implies that .
We list some four-dimensional matrix classes from and into the sequence spaces as in the following table, which have been characterized in some distinguished papers (see [14, Theorem 3.5],[15, Lemma 3.2],[16, Theorem 2.2],[17, Theorem 3.2]).
(4.9) | |||
(4.10) | |||
(4.11) | |||
(4.12) | |||
(4.13) | |||
(4.14) | |||
(4.15) | |||
(4.16) | |||
(4.17) | |||
(4.18) | |||
(4.19) |
1 | 2 | * | |
3 | 4 | 4 | |
* | 5 | 5 |
We list the necessary and sufficient conditions for each class in the following table. Note that shows the unknown characterization of respective four-dimensional matrix class.
1 iff | 2 iff | 3 iff | 4 iff | 5 iff |
---|---|---|---|---|
(4.10) | ||||
(4.11) | (4.11) | |||
(4.12) | (4.14) | |||
(4.13) | (4.15) | |||
Corollary 4.2.
Let the four-dimensional matrix is defined as in (4.4). Then the followings hold for four-dimensional infinite matrix .
- (i)
- (ii)
- (iii)
- (iv)
- (v)
Theorem 4.3.
The four-dimensional matrix if and only if
(4.20) | |||
(4.21) |
where the four-dimensional matrix
(4.22) |
Proof.
Suppose that . Then, exists for every and is in for all . Thus, the necessity of (4.20) is immediate. Since , then for every . Clearly is the matrix . Hence, the necessity of the condition can be clearly seen. The rest of the theorem can be followed by the similar path as in the Theorem 4.1. We omit the details. ∎
Corollary 4.4.
Let the four-dimensional matrix is defined as in (4.22). Then the followings hold for four-dimensional infinite matrix .
- (i)
- (ii)
- (iii)
- (iv)
- (v)
5. conclusion
The four-dimensional backward difference matrix domain on some double sequence spaces has been studied by Demiriz and Duyar [12]. Then Başar and Tuǧ [13], and Tuǧ [14, 18, 19, 20, 21, 22, 23] studied the four-dimensional generalized backward difference matrix and its domain in some double sequence spaces. Moreover, Tuǧ at al. [24], [25] studied the sequentially defined four-dimensional backward difference matrix domain on some double sequence spaces, and the space of double sequences of bounded variations, respectively.
In this work we defined the new double sequence spaces , where derived by the domain of four-dimensional forward difference matrix . Then we investigated some topological properties, determined , and duals and characterized some four-dimensional matrix classes related with these new double sequence spaces.
The paper contribute nonstandard results and new contributions to the theory of double sequences. As a natural continuation of this work, the four-dimensional forward difference matrix domain in the double sequence spaces and , where are still open problem. Moreover, the four-dimensional forward difference matrix domain in the spaces , , and can be calculated. Furthermore, Hahn double sequence space can be defined and studied by using some significant results stated in this work.
Funding
Not applicable.
Conflict of interest
The authors declare that they have no conflict of interest.
Availability of data and material
Not available.
Code availability
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