Abstract
Given any sequence of positive real numbers and any set E of complex sequences, we can use to represent the set of all sequences such that . In this paper, we use the spaces , and w of strongly bounded, summable to zero and summable sequences, which are the sets of all sequences y such that is bounded and tends to zero, and such that , for some scalarl. These sets were used in the statistical convergence. Then we deal with the solvability of each of the SSIE , where is a linear space of sequences, , c, , , w or , and , c or . For instance, the solvability of the SSIE relies on determining the set of all sequences that satisfy the following statement. For every sequence y that satisfies the condition , there are two sequences u and v, with such that and for some scalars l and L.
Keywords:
BK space; matrix transformations; multiplier of sequence spaces; sequence spaces inclusion equations MSC:
40C05; 46A45
1. Introduction
We write for the set of all complex sequences , , c and for the sets of all bounded, convergent and null sequences, respectively; and for . If y, , then we write . Let ; . We write for all and all , in particular, , where e is the sequence with for all n. Finally, if and E is any subset of , then we put . Recall that the spaces and of strongly bounded sequences that are summable to zero sequences using the Cesàro method, are the sets of all y such that is bounded and tends to zero. In this way, Hardy and Littlewood [1], defined the set wof strongly convergent sequences using the Cesàro method for real numbers as follows. A sequence y is said to be strongly Cesàro convergent toL, if. These spaces were studied by Maddox [2], Malkowsky and Rakočević [3] and Malkowsky and Başar in [4]. In [5], we gave some properties of well known operators defined by the sets and . In this paper, we deal with special sequence spaces inclusion equations (SSIE) (cf. [5,6]), which are determined by an inclusion, for which each term is a sum or a sum of products of sets of the form and where f maps to itself, E is any linear space of sequences and T is a triangle. In [5], we dealt with the class of SSIE of the form , where , and E and are any of the sets , c, , , or with . Then we stated some results on the solvability of the corresponding SSIE in the particular case of when , and we dealt with the case of when . Then we dealt with the SSIE of the form with , and we determined the solutions of these SSIE when , F is either c or , and E and are any of the sets , c, , , or with . Then we solved each of the SSIE , with , and the SSIE . We also studied the SSIE with and , where is the Cesàro operator defined by for all y, and we dealt with the solvability of the SSE associated with the previous SSIE and defined by with and with . In [6], we dealt with the solvability of the SSIE of the form where is a given linear space of sequences and is either or . Then, for given linear space of sequences, we solved each of the SSIE and and the SSE .
In this paper, we use the difference sequence spaces , and introduced by Kizmaz (cf. [7]), and we deal with the solvability of each of the SSIE
where , c, , , or w; , c or ; and is a linear space of sequences.
This paper is organized as follows. In Section 2, we recall some well known results on sequence spaces and matrix transformations. In Section 3, we recall some results on the multipliers of some sets. In Section 4, we recall some results used for the solvability of the SSIE. In Section 5, we deal with the solvability of the SSIE with an operator to solve each of the SSIE of the form , and with , c or . In Section 6, we study each of the SSIE , where , c or . Finally, in Section 7, we study the solvability of the SSIE where or w, and , c or .
2. Preliminaries and Notation
An FK space is a complete metric space, for which convergence implies coordinatewise convergence. A BK space is a Banach space of sequences that is an FK space. A BK space E is said to have AK if for every sequence , then, where 1 being in the position.
For a given infinite matrix we define the operators for any integer , by , where , and the series are assumed to be convergent for all n. Hence, we are led to the study of the operator A defined by mapping between sequence spaces. When AmapsEontoF, whereEandFare subsets of, we write (cf. [2,8,9,10]). It is well known that if E has AK, then the set of all bounded linear operatorsL mapping onto E, with norm , satisfies the identity . We denote by , , c and the sets of all sequences, and the sets of null, convergent and bounded sequences. For any subset F of , we write , and for any subset E of we write . Then, for given sequence we define the diagonal matrix by for all n. It is interesting to rewrite the set using a diagonal matrix. Let E be any subset of and we have . We use the sets , and defined as follows (cf. [5], p. 160). For a given we put , and . We frequently write instead of to simplify. Each of the spaces , where is a BK space normed by and has AK. If with , then we write , and , for the sets , and , respectively. We can also write for . When , we obtain , and . Recall that is a Banach algebra and . We have if and only if . Recall the Schur’s result (cf. [10], Theorem 1.17.8, p. 15) on the class . We have if and only if for some scalar , , 2, ..., and , where the series is convergent.
We also use the following known lemmas, where the infinite matrix is said to be a triangle, if for and for all n.
Lemma 1.
Let and be any given triangles, and let E, . Then, for any given operator represented by a triangle we have if and only if .
By taking and for a, we obtain the next well-known result.
Lemma 2.
Let a, , and let E, be any linear spaces. We have if and only if .
3. On the Triangle and on the Multipliers of Special Sets
In this section, we define the spaces of strongly bounded and summable sequences by the Cesàro method. Then we recall some results on the multipliers of sequence spaces involving the previous spaces.
3.1. On the Triangles and and the Sets , w and
For , the infinite matrices and are triangles defined as follows. We have for ; this triangle was used, for instance, in [5]; see also the Rhaly matrix studied by [11,12]). Then, the nonzero entries of are determined by for all n, and for all . It can be shown that the matrix is the inverse of ; that is, for all . If we obtain the well known operator of the first difference represented by . We then have for all , with the convention . We have and then, we may write . Note that . The Cesàro operator is defined by . In the following, we use the inverse of defined by where . We use the set of sequences that are stronglybounded and strongly convergent to zero, defined for by , and (cf. [5], p. 202). For the sets and are denoted by and . For we obtain the well-known spaces and of strongly bounded and strongly null sequences by the Cesàro method (cf. [13]).
3.2. On the Multipliers of Some Sets
First, we need to recall some well known results. Let y and z be sequences, and let E and F be two subsets of . We then write ; the set is called the multiplier space ofEandF. We will use the next lemmas.
Lemma 3.
Let E, , F and be arbitrary subsets of ω. Then (i) for all . (ii) for all .
Lemma 4.
Let a, and let E and F be two subsets of ω. Then we have if and only if .
From Lemma 2 we obtain the next result.
Lemma 5.
(ref. [5], Corollary, 4.1, p. 161) Let a, . Then we have: (i) where is any of the symbols , or s. (ii) where χ is any of the symbols or s. (iii) and .
In the following, we use the results stated below (cf. [5], Lemma 5.7, p. 233).
Lemma 6.
We have: (i) (a) and . (b) for E, , c or . (ii) (a) for , c or . (b) . (c) for or c. (d) for , or c.
To state results on the multipliers involving the set w, we need the next elementary lemmas.
Lemma 7.
We have .
Proof.
Let . Then, by the inequality for some scalar l and for all n, we deduce , and since we conclude and . □
Lemma 8.
We have .
Proof.
By Lemma 7, we have and by Part (i) of Lemma 5 we have . Then, using Part (ii) (a) of Lemma 6, we conclude
This completes the proof. □
Remark 1.
It can easily be shown that .
4. On the Sequence Spaces Inclusions
In this section, we are interested in the study of the set of all positive sequences x that satisfy the inclusion where , F and are linear spaces of sequences. We may consider this problem as a perturbation problem. If we know the set , then the solutions of the elementary inclusion are determined by . Now, the question is: Let be a linear space of sequences. What are the solutions of the perturbed inclusion ? An additional question may be the following one: what are the conditions on under which the solutions of the elementary and the perturbed inclusions are the same ?
4.1. Some Definitions and Results Used for the Solvability of Some SSIE
In the following, we use the notation , where , F and are linear spaces of sequences and . We can state the next elementary results.
Lemma 9.
Let , , F, , and be linear spaces of sequences. Then we have: (i) If , then . (ii) If , then . (iii) If , then .
For any set of sequences we let . Then we write . By we define the set of all sequences that satisfy the condition . Then we consider the condition
for any given linear space G of sequences. Notice that condition (1) is satisfied for all . Then we denote by the set of all sequences with for all n. We consider the condition
for any given linear space G of sequences. To show some results on the SSIE, we introduce a linear space of sequences H which contains the spaces E and and we will use the fact that if H satisfies the condition in (2) then we have for all a, (cf. [5], Lemma 4.4, p. 162). Notice that c does not satisfy this condition, but each of the sets , , , and satisfies the condition in (2). Thus we have, for instance, and .
4.2. Some Properties of the Set
We need the next lemma involving the multiplier of F and , which is an extension of Lemma 9.
Lemma 10.
Let , , F, and be linear spaces of sequences. Then we have: (i) . (ii) If , for any linear space of sequences , then . (iii) If , for some linear space of sequences , then .
Proof.
(i) Let . Then, we successively obtain , , and . This implies , and (i) holds. (ii) We have and we conclude by (i) that . Part (iii) follows from the inclusions . □
5. On the Solvability of the SSIE with Operator of the Form , Where ,
In this section, we determine multipliers involving some difference sequence spaces. Then we state a general result on the solvability of the SSIE with operator with . Then we apply these results to solve each of the SSIE and and with , c or .
5.1. On the Multipliers of the Form Where X,
In all that follows, for , we use the triangle , whose the nonzero entries are defined by for . We have for all and for all n. This triangle is also called the Rhaly matrix (cf. [11,12]). We obtain some results on the multipliers involving the sets of the difference sequence spaces , and introduced by Kizmaz (cf. [7]; see also [14]), and stated in the next lemma.
Lemma 11.
(i) where , c or . (ii) , and . (iii) and .
Proof.
Part (i) follows from the proof of [5], Proposition 6.8, p. 289. (ii) We have if and only if and by the characterization of we have and . In the same way, we have if and only if , and by the characterization of we obtain . The identity can be obtained using similar arguments. (iii) We show . For this, let . Then we have which implies and . This implies , and by the Schur theorem we obtain and . Thus we have shown the inclusion . Now, it can easily be seen that which implies , and using Lemma 5, we obtain . Thus we have shown the inclusions and we conclude . Using (ii) and the inclusion , we can obtain
and the identity holds. This completes the proof. □
5.2. General Result on the Solvability of the SSIE with Operator with
In the following, we use the next result.
Theorem 1.
Let F, and be linear spaces of sequences. Assume , and that satisfies the condition in (1). Then, the set of all the positive solutions of the SSIE satisfies the inclusion . Moreover, if then
Proof.
Let . Then we have , and since , we have , and there are and such that for all n. Then we have
and the condition implies . Since satisfies the condition in (1), we obtain and . Thus we have shown the inclusion . Using Part (i) of Lemma 10, where , we conclude . This completes the proof. □
5.3. Solvability of the SSIE Where , c or
As a direct consequence of Theorem 1 and Lemma 11, we obtain the following results on the sets of all positive sequences that satisfy each of the SSIE with operator with , c or .
Theorem 2.
Let be a linear space of sequences. We have
Proof.
The result follows from Part (ii) of Lemma 11 and Theorem 1, where , and , c and respectively. □
We may state some immediate applications of Theorem 2.
Example 1.
Using Lemma 10 and Theorem 2, it can easily be seen that the sets of the positive solutions of each of the SSIE with operator, and and , are determined by . Then, the solutions of each of the SSIE , and are determined by . In a similar way, the solutions of each of the SSIE , and are determined by .
Example 2.
It can easily be seen that . This implies that the set of all sequences that satisfy the SSIE with operator is determined by .
Example 3.
The set of all positive sequences that satisfy the SSIE is determined by . Then, the set of all positive sequences that satisfy the SSIE is determined by .
5.4. Solvability of the SSIE of the Form
In this part, Theorem 1 cannot be applied since . Thus, we need to use some results stated in Section 4.
Theorem 3.
Let for some be a linear space of sequences, and let , c or . Then, the set of all the solutions of the SSIE is determined by .
Proof.
Let where , c or . Then we have , and since and satisfies the condition in (2), we obtain and . Then we have , and by the characterization of we have . Using the inclusion with , we have , that is, . We conclude . The converse follows from Theorem 1 and Part (i) of Lemma 11, where . □
Example 4.
By Theorem 3 with , we deduce that the set of all positive sequences that satisfy the SSIE is determined by for , c or .
We consider another example, where with is the set of bounded variations (cf. [14]).
Example 5.
Let . The set satisfies the inclusion if and only if . By the characterization of (cf. [3], Theorem 1.37, p. 161) we obtain . We may take with , which implies , and by Theorem 3 we conclude that the set of all positive sequences that satisfy the SSIE is determined by for , c or .
5.5. Solvability of the SSIE of the Form
In this part, we use the notation for the difference sequence space (cf. [14]) and we study each of the SSIE , where .
Theorem 4.
Let be a linear space of sequences. Then, the sets of all positive sequences that satisfy each of the SSIE , and are determined by
Proof.
First, we show the identities and . From Theorem 1, where , and and , respectively, we obtain and . Then, by Part (iii) of Lemma 11, we have and and we conclude by Part (iii) of Lemma 10. Now we show the identity . For this, we let . Then we have , and by Theorem 1, where , and , we have and . Now, we show the inclusion . We have since .
Then we have
and as we have just seen, we have for some scalar l and
Thus, we have shown the inclusion . These statements imply the inclusions and since we obtain . Then we have and , and we have shown the inclusion . Finally, since , by Part (i) of Lemma 10, we conclude . This completes the proof. □
We obtain the following result, where is the set of all bounded series.
Example 6.
The solutions of each of the SSIE and are determined by .
By using similar arguments as in Example 5, we obtain the following result.
Corollary 1.
Let . The solutions of the SSIE are determined by .
6. Solvability of the SSIE of the Form
In this part, we deal with each of the SSIE with operators of the form , and . For instance, the solvability of the SSIE consists of determining the set of all positive sequences that satisfy the next statement. For every y such that there are two sequences u and v with where and .
6.1. Determination of the Sets with
We state the next Lemma.
Lemma 12.
We have (i) and (ii) .
Proof.
(i) We have which implies and . Then we have and and since we obtain . Then, by Part (ii) of Lemma 5, we obtain . Thus we have shown the identity . (ii) First, we show the inclusion . As we have just seen, we have and . Then, by the inclusion if we deduce , and we conclude that . Now, we show the identity . As above, the inclusion of implies . Then, by Part (ii) (b) of Lemma 6, we have and we obtain . Using the identity and the inclusion of , we obtain . This completes the proof. □
6.2. Application to the Solvability of the SSIE of the Form
In the following theorem, we solve each of the SSIE , where .
Theorem 5.
Let be a linear space of sequences. Then,
(i) The set of all positive sequences that satisfy the SSIE is determined by .
(ii) The sets of all positive sequences that satisfy each of the SSIE and are determined by
Proof.
(i) By Part (i) of Theorem 4 and since we have . Then, by Lemma 11 and Lemma 12, we have . We conclude by Part (i) of Lemma 10 that . (ii) From Part (ii) of Theorem 4 and Lemma 12, we obtain the next two statements: and . This implies the identities in (4) and completes the proof. □
Example 7.
Since , the set of all positive sequences that satisfy the SSIE is determined by for all n and for some . Similarly, the sets of all positive sequences that satisfy the SSIE is determined by .
Example 8.
By the characterization of , we can see that , which implies the inclusion . This implies that the solutions of the SSIE are determined by .
In the following, we solve the SSIE , where for . This solvability consists of determining the set of all sequences that satisfy the following statement. For every sequence for which for some and for all n, there are two sequences u and v, with such that and for some scalar L.
Corollary 2.
Let . The set of all the positive sequences that satisfy the SSIE is determined by
Proof.
The inclusion holds if and only if , and from the identity this inclusion holds for all . Thus, by Theorem 5 we have for all . Let . Then we have and . Since this implies and the inclusion holds for all . This completes the proof. □
7. On the Solvability of the SSIE of the Form Involving the Sets , or
In this section, we determine the multipliers and where , c or . Then we apply these results to the solvability of the SSIE with operator where or w and , c or .
7.1. On the Multipliers of the Form and
In this part, we determine the multipliers and where , c, or .
Lemma 13.
(i) for , c or . (ii) (a) , (b) and (c) .
Proof.
Part (i) follows from the proof of [5], Proposition 6.10, p. 291. (ii) (a) We show . Since , , and by Part (i) we obtain . Then, by Part (ii) of Lemma 12, we have and by Part (iii) of Lemma 5, the inclusion of implies . Thus we have shown . (ii) (b) We show . We have , and by Part (ii) of Lemma 11, we obtain . Then we show the inclusion . We have and , and since we obtain and we conclude . Then, by Part (iii) of Lemma 5, we have and we have shown the identity . (ii) (c) From Part (i) and Lemma 12, we obtain
This shows the identity . This completes the proof. □
7.2. Application to the Solvability of the SSIE Where or w and , c or
In this part, under some conditions on we solve each of the SSIE with operator (1) , (2) , (3) and (1’) , (2’) , (3’) .
We can state the following theorem.
Theorem 6.
Let be a linear space of sequences. Then we have:
(i) Assume for some . Then for , c or
(ii) Assume . Then (a) , (b) and (c) .
Proof.
(i) By Part (i) of Lemma 13 we have , and by Part (i) of Lemma 10 we have . Then, by the inclusion and using Theorem 3, we have . We conclude
and we have shown (i). Part (ii) follows from including , and from Part (ii) of Lemma 13 and Part (ii) of Lemma 11, where we have for , c or . □
Example 9.
By Part (ii) of Theorem 6, the solutions of the SSIE are determined by . As we have seen in Example 8, we have the inclusion , and by Part (ii) (b) of Theorem 6, the solutions of the SSIE are determined by .
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
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