1. Introduction
Cooke [1] formulated the theory of infinite matrices in the book “Infinite Matrices and Sequence Spaces”. Many researchers have investigated infinite matrices after the publication of this book in 1950. In most of these studies, the domain of infinite matrices on a sequence space was studied. In this study, we address the question: What are the properties of the domain of the Fibonacci band matrix on sequence spaces bs and cs? The domain of the Fibonacci band matrix creates a new sequence space. We handle algebraic properties of this new space in order to determine its duals and its place among other known spaces, and to characterize the matrix transformations of this space.
One difficulty of this study is to determine whether the new space is the contraction or the expansion, or the overlap of the original space. Another difficulty is to determine the matrix transformations on this space and into this space. For the first problem, we give a few inclusion theorems. For the second problem, we use the matrix transformation between the standard sequence spaces and two theorems.
Generating a new sequence space and researching on its properties have been important in the studies on the sequence space. Some researchers examined the algebraic properties of the sequence space while others investigated its place among other known spaces and its duals, and characterized the matrix transformations on this space.
We can create a new sequence space by using the domain of infinite matrices. Ng-Lee [2] first investigated the domain of an infinite matrix in 1978. In the same period, Wang [3] created a new sequence space by using another infinite matrix. Many researchers such as Malkovsky [4], Altay, and Başar [5] followed these studies. This topic was studied intensively after 2000.
Leonardo Fibonacci invented Fibonacci numbers. He introduced Fibonacci numbers originated from a rabbit problem. These numbers create a number sequence:
1,1,2,3,5,8,13,21,34,55,89,....
This sequence has important properties and applications in various fields.
Let us indicate the Fibonacci sequence by (fn). fn is defined as
fn = fn−1 + fn−2 (n ≥ 2)
with f0 = f1 = 1. The golden ratio isLet us indicate the set of all real-valued sequences with w and list some subspaces of w called standard sequence spaces.
Now let us take real valued infinite matrix T = (tnk), where tnk is a real number for every n,k∈ℕ Let A and B be sequence spaces. Sequence Tx = {Tn(x)} is T-transform of a for every a = (ak)∈A. Here, Ta∈B and
(1)
and Tn(a)→t (t exists for every n∈ℕ). Then, T is called a matrix transformation from A to B.Now let us take infinite matrix T and sequence space δ to define domain of infinite matrix T. The domain of the matrix T on δ is characterized by
δT = {x = (xk)∈w: Tx∈δ}.(2)
Many reserachers have studied the domain of a matrix on a sequence space. For more detailed information on these new sequence spaces, see references [6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26].
The Fibonacci difference matrix F was first introduced by Kara [27] in 2013. F is derived from (fn). In this study, Kara [27] defined the spaces lp(F) and l∞(F); (1 ≤ p < ∞). After this study the c0(F(r,s)) and c(F(r,s)) was introduced by Candan [28], in 2015, where F(r,s) is a generalized Fibonacci matrix. Candan and Kara [19] introduced and examined lp(F(r,s)); (1 ≤ p < ∞). In 2018, Yaşar and Kayaduman [29] defined and examined cs(F(s,r)) and bs(F(s,r)) and Kayaduman and Yaşar [30] studied spaces bs(Nt) and cs(Nt), where Nt is a Nörlund matrix.
Let δ be a sequence space. The γ, β, α -duals of δ are defined, respectively, as follows
In this study, spaces cs(F) and bs(F) are introduced and the related notations are given in Section 2. In addition, some topological and algebric properties, isomorphism, inclusion relations and norms which are defined over them are examined. The γ, β, α -duals of these spaces are determined in Section 3. The Schauder base of space cs(F) are calculated. Finally, many matrix transformations of these spaces are found. In the last section, the results and previous studies and the working hypotheses are discussed.
A detailed literature review was performed before this study was started. Scans were made on related articles, magazines, and books. As a result of these scans, the part related to our subject was synthesized and the results were noted. These results were then applied to our problem area. Finally, the results of this study were obtained.
2. Results
2.1. The Domain of Fibonacci Difference Matrix F on Bounded and Convergent Series
In this section, cs(F) and bs(F) are introduced. Related notations are given. In addition, some topological and algebric properties, isomorphism, inclusion relations, and norms defined over them are examined.
For similar studies, see refeerences [19] and [27,28,29,30,31,32,33,34].
Let spaces cs(F) and bs(F) be the domain of the matrix F on cs and bs, where F = {fnk} infinite matrix is defined by (fn)
for all k,n∈ℕ. Then we inroduce cs(F) and bs(F) asWe can see cs(F) = (cs)F and bs(F) = (bs)F by using Equation (2).
Let the inverse matrix of F be F−1. For all k,n∈ℕ, F−1 = {F−1nk} is found as
(3)
Let us take sequence x = (xn). If y = Fx, then we calculate as
(4)
Herefrom, if we calculate inverse of F, then we find that x = F−1y and
(5)
Now, let us give some theorems related to our study.
bs(F) is a linear space.
The proof is left to the reader since it is easy to show. □
cs(F) is a linear space.
The proof is left to the reader since it is easy to show. □
bs(F) is a normed space with:
(6)
The proof is left to the reader since it is easy to show. □
cs(F) is a normed space with Equation (6).
The proof is left to the reader since it is easy to show. □
bs(F) is isomorphic to bs.
Let us take T: bs(F) →bs mentioned Equation (4) by x→y = Tx = Fx. It is easy to see that T is linear and injective.
We must find T is surjective. Let y = (yn)∈bs. By using Equation (5) and Equation (6), we see
We see that x∈bs(F). Hence, T is surjective. In addition, bs(F) and bs izometric because □
cs(F) is isomorphic to cs.
The proof can be made similar to Theorem 5, so it is left to the reader. □
bs(F) is a Banach space with Equtaion (6).
It is easy to see the norm conditions are ensured. Let a Cauchy sequence xi = (xki) in bs(F) for each i∈ℕ. For all k∈ℕ, we have
from Equation (4). For all ε > 0 there is n0 = n0(ε) such that for all i,m ≥ n0. yi→y (i→∞) such that exists, since is complete. Since bs and bs(F) are isomorphic, bs(F) is complete. It hereby is a Banach space. □cs(F) is a Banach space with Equation (6).
It is easy to see the norm conditions are ensured. Let a Cauchy sequence xi = (xki) in cs(F) for each i∈ℕ. For all k∈ℕ, we have
from Equation (4). For all ε > 0, there is n0 = n0(ε) such that for all i,m ≥ n0. yi→y (i→∞) such that exists, since is complete. Since cs and cs(F) are isomorphic, cs(F) is complete. It hereby is a Banach space. □Now, let R = (rnk) infinite matrix. Let us list the following:
(7)
(8)
(9)
(10)
(11)
(12)
(13)
(14)
(15)
(16)
(17)
(18)
(19)
(20)
(21)
(22)
(23)
(24)
The collection of all finite subsets of ℕ denoted by ℱ.
Let us suppose infinite matrix R = (rnk). Then,
(1) iff Equations (11) and (8) hold [35].
(2) iff Equations (11) and (12) hold [36].
(3) iff Equations (13) and (8) hold [37].
(4) iff Equation (14) holds [35].
(5) iff Equations (8), (15) and (16) hold [37].
(6) iff Equations (17) and (11) hold [35].
(7) iff Equations (18) and (8) hold [35].
(8) iff Equations (19) and (8) hold [38].
(9) iff Equations (20) and (8) hold [38].
(10) iff Equations (21) and (8) hold [38].
(11) iff Equations (8) and (9) hold [38].
(12) iff Equations (9) and (10) hold [39].
(13) iff Equations (21), (18) and (21) hold [35].
(14) iff Equations (11) and (12) hold with ak = 0 for all k ∈ ℕ [40].
(15) iff Equations (9) and (22) hold [38].
(16) iff Equations (9) and (23) hold with ak = 0 for all k ∈ ℕ [38].
(17) iff Equation (24) holds [38].
(18) iff Equations (24) and (12) hold with ak = 0 for all k ∈ ℕ [35].
bs(F) ⊃ bs is valid.
Suppose x∈bs. If we show that F is an element of (bs,bs) then x is element of bs(F). For this, F must provide Equations (8) and (9). Since , Equation (8) is provided.
If we examine Equation (9), we find
□bs(F) ⊃ ℓ∞ is not valid.
Suppose x = (xk) = (f2k+1). Then y = Fx = (1,0,0....)∈bs. On the other hand, f2k+1→∞ as k→∞. It is clear x∈bs(F), but x ∉ ℓ∞. This result completes the proof. □
cs(F) ⊃ cs is valid.
Suppose x∈cs. If we show that F is element of (cs,cs) then x is element of cs(F). For this, F must provide Equations (10) and (9). Equation (9) has been provided from the Theorem 10. If we look at the Equation (10) then, for each k∈ℕ,
such that l∈ℂ exists. □cs(F) ⊃ c is not valid.
Let x = (xk) = (f2k+1). Then y = Fx = (1,0,0....)∈cs. On the other hand, f2k+1→∞ as k→∞. It is clear x∈cs(F), but x ∉ c. This result completes the proof. □
cs(F) ⊂ bs(F) is valid.
If x∈cs(F), y = Fx∈cs. Hence, Since c⊂ℓ∞, Hence, Fx∈bs. That is, x∈bs(F). This result completes the proof. □
Let us take normed space A and let (ak) A. If there is only one scalar sequence (vk) such that and then (ak) is called a Schauder base for A.
Now, let us give corallary releated to Schauder basis.
Let a sequence in cs(F) be for each k ∈ ℕ and
Thenis a base for cs(F). Every x ∈ cs(F) can write as a single such that .
2.2. The Duals of cs(F) and bs(F) and Matrix Transformations
Let us give the two lemmas to use in the next stage.
Let infinite matrixand. Let us take, that is,
for all, . Then, iff.Let x = (xn) and a = (an) elements of w. y = (yn) such that y = Fx which is defined in Equation (4). If we use to Equation (4), then
(25)
ax = (an xn)∈ℓ₁ with x = (xn)∈µ(F) iff Cy∈ℓ₁ with y∈λ. Consequently, C∈(µ,ℓ₁). □[41] Let us take a = (ak)∈w and infinite matrix C = (cnk). Let the inverse matrix H = (hnk) of the triangular matrix G = (gnk) is given by
Then, for any sequence space δ,
If we consider Lemma 9, Lemma 16 and Lemma 17 together, the following is obtained;
Let us take r = (rk) ∈ w and infinite matrix A = (ank) and B = (bnk) such that
If we take d1, d2, d3, d4, d5, d6, d7 and d8 as follows:
(1) {bs(F)}α = d1
(2) {cs(F)}α = d2
(3) {bs(F)}β = d3∩d4∩d5
(4) {cs(F)}β = d6∩d7
(5) {bs(F)}γ = d3∩d7
(6) {cs(F)}γ = d7∩d8.
Letand λ ⊂ w. Then,iff
(26)
(27)
where(28)
and(29)
for all.Necessity part: Let us take that and . If we use Equation (5), then we find
(30)
According to the hypothesis, for each m∈ℕ, Am(x) ∈ c. Then, ∈ c for each m∈ℕ and . Ax = Vy if we consider for m→∞ from Equation (30). As a result, we find
Sufficient part: Suppose that Equations (26) and (27) are satisfied and be. By using Corollary 18 and Equations (26) and (30), we have that and
Hence, exists. Ax = Vy if we consider for m→∞ from Equation (30). Consequently, we find □
Let μ ∈ {bs,cs} and λ ⊂ w and U = (unk) and B = (bnk) be infinite matrices. Let
(31)
Then, iff.Let z = (zk)∈ l and Equation (31) exist. Then, we have
(32)
If we take m→∞ to Equation (32), we have that (Bz)n = (F(Az))n. Consequently, Az∈μ(F) iff Bz∈μ. That is, . □Let us give almost convergent sequences space, which was first defined by Lorentz [42]. Let t = (tk)∈ℓ∞. t is almost convergent to limit ℓ iff uniformly in n. It is denoted by . In addition, and mean the spaces of almost convergent series and almost null sequences, respectively. and are
Now, let us take infinite matrix R = (rnk) and list the following:
(33)
(34)
(35)
(36)
(37)
(38)
(39)
(40)
(41)
(42)
(43)
(44)
(45)
(46)
Let infinite matrix R = (rnk) for all k,n∈ℕ. Then,
(1) iff Equation (23) and Equations (37)–(39) hold [43].
(2) iff Equation (11) and Equation (33) hold [44].
(3)iff Equations (8), (11), (33) and (34) hold[45].
(4)iff Equations (8) and (34)–(36) hold[45].
(5)iff Equation (35) and Equation (36) hold[44].
(6)iff Equation (37) holds[38].
(7) iff Equation (40) holds [46].
(8) iff Equation (41) holds [38].
(9) iff Equation (42) holds [38].
(10) iff Equation (43) holds [46].
(11) iff Equation (44) holds [38].
(12) if and only Equations (10), (37) and (45) hold [38].
(13) iff Equations (9) and (46) hold [38].
(14) iff Equations (10) and (40) hold [46].
(15) iff Equations (10) and (41) hold [46].
(16) if and only Equations (10), (41) and (43) hold [38].
(17) iff Equations (10) and (43) hold [46].
Now, suppose and which mentioned Equations (28) and (29) and give the following equations
(47)
(48)
(49)
(50)
(51)
(52)
(53)
(54)
(55)
(56)
(57)
(58)
(59)
(60)
(61)
(62)
(63)
(64)
(65)
(66)
(67)
(68)
(69)
(70)
(71)
(72)
(73)
(74)
If we consider Theorems 19 and 20, Lemmas 9 and 21, then we give the below conclusions.
Let us take mentioned in Theorem 19. Then,
(1)iff Equations (47) and (49) hold and Equation (53) holds with.
(2) iff Equations (47)–(50) and Equation (55) hold.
(3) iff Equations (47)–(50) and Equations (52) and (53) hold.
(4) iff Equations (47)–(50) and Equation (56) hold.
(5) iff Equations (47)–(51) hold.
(6) iff Equations (47)–(50) and Equation (54) hold.
(7) iff Equations (47)–(50) and Equation (58) hold.
(8) iff Equations (47)–(50) and Equation (57) hold.
(9)iff Equations (57) and (47)–(49) and Equation (51) hold and Equation (53) also holds with.
Let us take mentioned in Theorem 19. Then,
(1)iff Equations (59), (60), Equation (51) hold and Equation (62) also holds withfor all.
(2)iff Equations (59), (60), Equation (54) hold and Equation (65) also holds withfor all.
(3) iff Equations (59), (60), Equation (51) and Equation (62) hold.
(4) iff Equations (59), (60), Equation (64) and Equation (65) hold.
(5) iff Equations (51) and (59)–(61) hold.
(6) iff Equations (59), (60), (54) and (63) hold.
(7) iff Equations (59), (60) and (66) hold.
(8) iff Equations (59), (60) and (68) hold.
(9)iff Equation (59), (60) and (62) hold and Equation (68) holds withfor all.
Let us take mentioned Theorem 19. Then,
(1) iff Equations (47)–(51), (67) and (69) hold.
(2) iff Equations (47)–(51) hold and Equations (68) and (69) also hold with in Equation (67) and in Equation (69).
(3) iff Equations (59), (60), (67) and (51) hold.
(4)iff Equations (51), (59), (60) hold and Equation (67) also holds with.
(5) iff Equations (69), (73), (74) and (47)–(50), hold.
(6) iff Equations (73), (74), (59) and (60) hold.
Let us take mentioned Theorem 20. Then,
(1) iff Equation (40) holds with instead of , where is defined by Equation (31).
(2) iff Equation (37) holds with instead of , where is defined by Equation (31).
(3) iff Equation (41) holds with instead of , where is defined by Equation (31).
(4) iff Equation (42) holds with instead of , where is defined by Equation (31).
(5)iff Equation (43) holdsinstead of, where is defined by Equation (31).
(6) iff Equation (44) holds with instead of , where is defined by Equation (31).
(7) iff (10), Equations (37) and (47) hold instead of , where is defined by Equation (31).
(8) iff Equations (9) and (46) hold with instead of , where is defined by Equation (31).
(9) iff Equations (10) and (40) hold with instead of , where is defined by Equation (31).
(10) iff Equations (10) and (41) hold with instead of , where is defined by Equation (31).
(11) iff Equations (10), (41) and (43) hold with instead of , where is defined by Equation (31).
(12) iff Equations (10) and (43) hold instead of , where is defined by Equation (31).
(13) iff Equation (65) and Equations (70)–(72) hold with instead of , where is defined by Equation (31).
3. Discussion
Kızmaz [47] first introduced the difference sequence operator in 1981. Generalized difference sequence spaces were characterized and investigated by Kirişçi and Başar [4] in 2010. Kara [27] first defined the Fibonacci Difference Matrix F, which created the Fibonacci sequence (fn) in 2013. He also introduced the new sequence spaces ℓp(F) and ℓ∞(F); where 1 ≤ p < ∞. The spaces c(F(r,s)) and c0(F(r,s)) were introduced by Candan [28] in 2015. In 2015, the sequence space ℓp(F(r,s)) was introduced and studied by Candan and Kara [19]; where 1 ≤ p ≤ ∞. In addtion, a class of compact operators on ℓp(F) and ℓ∞(F) was characterized by Kara et al. [32], where 1 ≤ p < ∞.
In the present study, we introduced the domain of a triangular infinite matrix on a sequences space. We described spaces cs(F) and bs(F), where F, cs, and bs are the Fibonacci Difference Matrix, convergent and bounded series, respectively. It was demonstrated that bs(F) are the linear spaces, and given that cs(F) is linear space in Theorem 6. without proof and, they have the same norm
where x∈cs(F) or x∈bs(F). It was found that they are Banach spaces. In addition, inclusions theorems were examined and found. Finally, the γ, β, α -duals of them were calculated. Finally, some matrix transformations as a main result were given.Author Contributions
This article was written with equal contributions from both authors. The final manuscript was read and approved by both authors.
Funding
This research received no external funding.
Acknowledgments
We thank the responsible editors and reviewers for their contribution for the improvement of this paper. We also thank Mehmet Kanoğlu for his help in reviewing English of the paper.
Conflicts of Interest
The authors declare no conflict of interest.
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© 2019 by the authors.
Abstract
Matrix F^ derived from the Fibonacci sequence was first introduced by Kara (2013) and the spaces lp(F) and l∞(F); (1 ≤ p < ∞) were examined. Then, Başarır et al. (2015) defined the spaces c0(F) and c(F) and Candan (2015) examined the spaces c(F(r,s)) and c0(F(r,s)). Later, Yaşar and Kayaduman (2018) defined and studied the spaces cs(F(s,r)) and bs(F(s,r)). In this study, we built the spaces cs(F) and bs(F). They are the domain of the matrix F on cs and bs, where F is a triangular matrix defined by Fibonacci Numbers. Some topological and algebraic properties, isomorphism, inclusion relations and norms, which are defined over them are examined. It is proven that cs(F) and bs(F) are Banach spaces. It is determined that they have the γ, β, α -duals. In addition, the Schauder base of the space cs(F) are calculated. Finally, a number of matrix transformations of these spaces are found.
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