Abstract
The main topic in this article is to define and examine new sequence spaces and , where is generalized difference Fibonacci matrix in which . Some algebric properties including some inclusion relations, linearly isomorphism and norms defined over them are given. In addition, it is shown that they are Banach spaces. Finally, the -, - and -duals of the spaces and are appointed and some matrix transformations of them are given.
1. Introduction
Italian mathematician Leonardo Fibonacci found the Fibonacci number sequence. The Fibonacci sequence actually originated from a rabbit problem in his first book “Liber Abaci”. This sequence is used in many fields. The Fibonacci sequence is as follows:
The Fibonacci sequence, which is denoted by , is defined as the linear reccurence relation
and . The golden ratio is
The Golden Ratio, which is also known outside the academic community, is used in many fields of science.
Let w be the set of all real valued sequences. Any subspace of w is called the sequence space. c, and are called as sequences space convergent, convergent to zero and bounded, respectively. In addition to these representations, , and are sequence spaces, which are called absolutely convergent, bounded and convergent series, respectively.
Let us take a two-indexed real valued infinite matrix , where is real number and . is called a matrix transformation from X to Y if, for every , sequence is A transform of and in Y, where
and Equation (1) converges for each .
Let be a sequence space and be an infinite matrix. Then, the matrix domain is introduced by
Here, it can be seen that is a sequence space.
For calculation of any matrix domain of a sequence, a triangle infinite matrix is used by many authors. So many sequence spaces have been recently defined in this way. For more details, see [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22].
Kara [23] recently introduced the which is derived from the Fibonacci sequence and defined the new sequence spaces and by using sequence spaces and , respectively, where . The sequence space has been defined as:
where defined by the sequence as follows:
for all . In addition, Kara et al. [24] have characterized some class of compact operators on the spaces and , where .
Candan [25] introduced and . Later, Candan and Kara [15] have investigated the sequence spaces in which .
The -, - and -duals and of a sequence spaces P are defined, respectively, as
respectively.
In Section 2, sequence space and are defined and some algebric properties of them are investigated. In the last section, the -, - and -duals of the spaces and are found and some matrix tranformations of them are given.
2. Generalized Fibonacci Difference Spaces of and Sequences
In this section, spaces and of generalized Fibonacci difference of sequences, which constitutes bounded and convergence series, respectively, will be defined. In addition, some algebraic properties of them are investigated.
Now, we introduce the sets and as the sets of all sequences whose transforms are in the sequence space and ,
where is
for all where . Actually, by using Equation (2), we can get
With a basic calculation, we can find the inverse matrix of . The inverse matrix of is such that
for all . If is -transform of a sequence , then the below equality is justified:
for all In this situation, we see that , i.e.,
for all .
Theorem 1.
is the linear space with the co-ordinatewise addition and scalar multiplation.
Proof.
We omit the proof because it is clear and easy. ☐
Theorem 2.
is the linear space with the co-ordinatewise addition and scalar multiplation.
Proof.
We omit the proof because it is clear and easy. ☐
Theorem 3.
The space is a normed space with
Proof.
It is clear that space ensures normed space conditions. ☐
Theorem 4.
The space is a normed space with norm Equation (7).
Proof.
It is clear that normed space conditions are ensured by space . ☐
Theorem 5.
is linearly isomorphic as isometric to the space that is, .
Proof.
For proof, we must demonstrate that bijection and linearly transformation T exist between the space and . Let us take the transformation mentioned above with the help of Equation (5) by . We omit the details that is both linear and injective because the demonstration is clear. ☐
Let us prove that transformation T is surjective. For this, we get .
This result shows that . That is, T is surjective. At the same time, this result also indicates that T is preserving the norm. Therefore, the sequence spaces and are linearly isomorphic as isometric.
Theorem 6.
The sequence space is linearly isomorphic as isometric to the space , that is, .
Proof.
If we write instead of and instead of in Theorem 5, the proof will be demonstrated. ☐
Theorem 7.
The space is a Banach space with the norm, which is given in Equation (7).
Proof.
We can easily see that norm conditions are ensured. Let us take that is a Cauchy sequence in for all . By using Equation (5), we have
for all . Since is a Cauchy sequence, for every , there exists such that
for all . Since is complete, such that exist and since the sequence spaces and are linearly isomorphic as isometric is complete. Consequently, is a Banach space. ☐
Theorem 8.
The space is a Banach space with the norm, which is given in Equation (7).
Proof.
We can easily see that norm conditions are ensured. Let us take that is a Cauchy sequence in for all . By using Equation (5), we have
for all . Since is a Cauchy sequence, for every , there exists such that
for all . Since is complete, such that exists and since the sequence spaces and are linearly isomorphic as isometric is complete. Consequently, is a Banach space. ☐
Now, let be an arbitrary infinite matrix and list the following:
where denote the collection of all finite subsets of .
Now, we can give some matrix transformations in the following Lemma for the next step that we will need in the inclusion Theorems.
Lemma 1.
Let be an arbitrary infinite matrix. Then,
Theorem 9.
The inclusion is valid.
Proof.
Let . We must demonstrate that . It means that . For , must ensure to the conditions of (11) of Lemma 1. We see that
The other condition also holds as follows:
Consequently, the conditions of (11) of Lemma 1 hold. The proof is complete. ☐
Theorem 10.
If , then is valid.
Proof.
Let . Then, . We must demonstrate that . That is, . For , must satisfy the conditions of (1) of Lemma 1. It is clear that
The other condition is also holds as follows:
Consequently, the conditions of (1) of Lemma 1 hold. The proof is complete. ☐
Theorem 11.
The inclusion is valid.
Proof.
Theorem 12.
If , then is valid.
Proof.
Let . Then, . We must demonstrate that . That is, . For , must satisfy the conditions of (2) of Lemma 1. Equation (12) has been satisfied in Theorem 10. Now, we must demonstrate Equation (13). For each
Thus, Equation (13) is also satisfied. ☐
Theorem 13.
The inclusion is valid.
Proof.
Let . Then, . Hence, . , so it becomes . That is, . Hence, . Consequently, .
Before giving the corollary about the Schauder basis for the space , let us define the Schauder basis which was introduced by J. Schauder in 1927. Let be normed space and be a sequence . There exists a unique sequence of scalars such that , and
Then, is called a Schauder basis for X. ☐
Now, we can give the corollary about Schauder basis.
Corollary 1.
Let us sequence defined in the such that
Then, sequence is a basis of and every sequence has a unique representation , where .
3. The -, - and -Duals of the Spaces and and Some Matrix Transformations
In this section, the alpha-, beta-, gamma-duals of the spaces and are determined and characterized the classes of infinite matrices from the space and to some other sequence spaces.
Now, we give the two lemmas to prove the theorems that will be given in the next stage.
Lemma 2.
Suppose that and the infinite matrix is defined by , that is,
for all . Then, iff .
Proof.
Lemma 3.
Let [32] be defined via a sequence and the inverse matrix of the triangle matrix by
for all . Then, for any sequence space λ,
If we consider Lemmas 1–3 together, the following is obtained.
Corallary 1.
Let and such that
If we take and as follows:
Then, the following statements hold:
- (1)
- (2)
- (3)
- (4)
- (5)
- (6)
Theorem 14.
Let and μ ⊂ w. Then, iff
where
and
for all .
Proof.
To prove the necessary part of the theorem, let us suppuse that and . By using Equation (6), we find
for all . For each and , exists and also lies in c. Then, also lies in c for each . Hence, . Now, from Equation (32), we consider for , and then . Consequently, we obtain .
If we want to prove the sufficient part of the theorem, then let us assume that Equations (28) and (29) are satisfied and . By using Corollary 1 and Equations (28) and (32), we obtain and . Hence, exists. In addition, in Equation (32), if we consider . Then, . Consequently, we obtain .
In Theorem 14, we take instead of and instead of , and then we get the following theorem. ☐
Theorem 15.
Let and μ be an arbitrary subset of and and be infinite matrices. If we take
for all , then iff .
Proof.
Let us suppose that and Equation (33) exist. For we obtain from . Hence, . On the other hand, we have
for all . If we carry out to Equation (34), we obtain that
Since , we find for from Equation (35). Hence, we obtain that . This is the desired result. ☐
At this stage, let us consider almost convergent sequences spaces, which were given by Lorentz [33]. This is because they will help in calculating some of the results of Theorems 14 and 15. Let a sequence . x is said to be almost convergent to the generalized limit ℓ iff uniformly in n and is denoted by . By f and , we indicate the space of all almost convergent and almost null sequences, respectively. However, in this article, we use and instead of f and , respectively, in order to avoid any confusion. This is because the Fibonacci sequence is also denoted by f. In addition, by , we indicate the space of sequences, which is composed of all almost convergent series. The sequences spaces and are
Now, let be an arbitrary infinite matrix and list the following conditions:
Let us give some matrix transformations in the following Lemma for use in the next step.
Lemma 4.
Let be an infinite matrix for all . Then,
- (1)
- (2)
- (3)
- (4)
- (5)
- (6)
- iff Equation (40) holds (Zeller [29]).
- (7)
- iff Equation (43) holds (Jakimovski and Russell [37]).
- (8)
- iff Equation (44) holds (Zeller [29]).
- (9)
- iff Equation (45) holds (Zeller [29]).
- (10)
- iff Equation (46) holds (Jakimovski and Russell [37]).
- (11)
- iff Equation (47) holds (Zeller [29]).
- (12)
- (13)
- (14)
- (15)
- (16)
- (17)
Now, we can give several conclusions of Theorems 14 and 15, and Lemmas 1 and 4.
Corallary 2.
Let be an infinite matrix for all . Then,
- (1)
- (2)
- (3)
- (4)
- (5)
- (6)
- (7)
- (8)
- (9)
Corallary 3.
Let be an infinite matrix for all Then,
- (1)
- (2)
- (3)
- (4)
- (5)
- (6)
- (7)
- (8)
- (9)
Corallary 4.
Let be an infinite matrix for all Then,
- (1)
- (2)
- (3)
- (4)
- (5)
- (6)
- (7)
Corallary 5.
Let be an infinite matrix for all Then,
- (1)
- (2)
- (3)
- (4)
- (5)
- (6)
- iff Equation (47) holds with instead of , where is defined by Equation (33).
- (7)
- (8)
- (9)
- (10)
- (11)
- (12)
4. Discussion
The difference sequence operator was introduced for the first time in the literature by Kızmaz [38]. Kirişçi and Başar [4] have characterized and investigated generalized difference sequence spaces. The Fibonacci difference matrix , which is derived from the Fibonacci sequence was recently introduced by Kara [23] in 2013 and defined the new sequence spaces and which are derived by the matrix domain of from the sequence spaces and , respectively, where . Candan [25] in 2015 introduced the sequence spaces and . Later, Candan and Kara [15] studied the sequence spaces in which . In addition, Kara et al. [24] have characterized some class of compact operators in the spaces and , where .
The study is concerned with matrix domain on a sequences space of a triangle infinite matrix. In this article, we defined spaces and of Generalized Fibonacci difference of sequences, which constituted bounded and convergence series, respectively. We have demonstrated the sets of and which are the linear spaces, and both spaces have the same norm
where or . In addition, it was shown that they are normed space and Banach spaces. It was found that and are linearly isomorphic as isometric. At the same time, and are linearly isomorphic as isometric. Some inclusions’ theorems were given with respect to and . According to this, inclusions , are valid. In addition, if , then and are valid. It was concluded that has a Schauder basis.
Finally, the -, - and -duals of the both spaces are calculated and some matrix transformations of them were given.
5. Conclusions
In this article, we have defined spaces and of Generalized Fibonacci difference of sequences, which constituted bounded and convergence series, respectively. We have demonstrated that the sets of and are the linear spaces and both spaces have the same norm. In addition, it was shown that they are Banach spaces. Some inclusions theorems were given with respect to and . It was concluded that has a Schauder basis. Finally, the -, - and -duals of the both spaces were calculated and some matrix transformations of them were given.
Author Contributions
Both authors contributed equally to the writing of this paper. Both authors read and approved the final manuscript.
Funding
This research received no external funding.
Acknowledgments
The authors are grateful to the responsible editor and the anonymous reviewers for their valuable comments and suggestions, which have greatly improved this paper.
Conflicts of Interest
The authors declare no conflict of interest.
Abbreviations
The following abbreviations are used in this manuscript:
| iff | if and only if |
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