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1. Introduction and Preliminaries
Throughout this paper, the set of all real-valued sequences is symbolised by . A sequence space is a linear subspace of . Few examples of classical sequence spaces which are used frequently in this study are
Here and in what follows, . A Banach space is a complete normed space. Furthermore, a Banach space having continuous coordinates is called a -space. The sequence spaces and are spaces endowed with supremum norm defined by .
Let be an infinite matrix consisting of real entries and and be any two sequence spaces. We denote the sequence in the row of the matrix by . The notation is called -transform of , given that converges . Furthermore, if for each , , then is called a matrix transformation from to . We use the symbol to mean the family of matrix transformation from to . Additionally, is said to be a triangle if for and .
The domain of in , denoted by , is given by
The theory of matrix domain is very crucial in constructing sequence spaces. It is known that the matrix domain is itself a sequence space. Moreover, if is a space and is a triangle, then we enjoy the celebrated property that is also a -space endowed with the norm . The literature contains several studies concerning formation of sequence spaces (or Banach sequence spaces) by using domain of special matrices. For good sources of studies, we refer the readers to [1–6] and textbook [7].
1.1. -Calculus
The -calculus is a recently developed theory that generalizes several concepts in the field of mathematics, engineering, and physics. In particular, in the field of mathematics, -calculus is widely utilized in operator theory, approximation theory, algebra, special functions, combinatorics, etc. -calculus or -analog is an advancement of the classical notions or concepts or mathematical expression by using two independent parameters and . When , the -analog of a mathematical expression reduces to -analog (see [8]) which further reduces to the original mathematical expression when . For more details, we refer the readers to [9, 10] for studies on -calculus and [8] for those on -calculus.
1.1.1. Relevant Notions in -Calculus
Definition 1 (see [10]).
The -number is given by
It is well known that when , reduces to its version (cf. [8]).
Definition 2 (see [9]).
The -binomial coefficient is given by
Here the symbol is the -factorial of which is expressed by
Lemma 1 (see [11]).
The -binomial formula is expressed as
Clearly when , -binomial formula reduces to -binomial formula (cf. [8]). The readers will be interested in these papers [8–12] to have greater idea about (or )-calculus.
1.2. Euler Sequence Space
Let ; then, the Euler mean is defined by
Let and ; then, the binomial matrix is given by
It is clear that when , then reduces to . A good number of publications can be found in the literature concerning construction of sequence spaces using Euler mean and binomial matrix . We mention in Table 1 some celebrated papers dealing with Euler spaces. However, before proceeding to the table, we first define backward difference operators , , , , and that are used in the table:where , , and is any fixed sequence of real numbers.
Table 1
Euler spaces.
Euler spaces | References |
, | [1] |
, | [2, 4] |
, | [13] |
, , | [14] |
, , , | [15] |
| [16] |
, and | [17] |
, , | [18] |
, | [19] |
, , | [20] |
, | [21] |
, , , | [22, 23] |
, , | [24] |
, , | [25] |
| [5] |
1.3. or -Sequence Spaces and Motivation
For , -Cesàro matrix [12] is defined by
The development of sequence spaces using post-quantum (or -) analog of well-known matrices is a new study in the field of sequence spaces. We have seen some studies concerning construction of sequence spaces using the quantum analog of special matrices. For instance, -Cesàro sequence spaces and are studied by Demiriz and Şahin [26] generated by -Cesàro matrix in and , respectively. As a natural continuation, Yaying et al. [6] developed its domains and in and , respectively, and studied associated operator ideals. More recently, Yaying et al. [27] constructed -Euler sequence spaces and and studied certain geometric properties of these spaces. Yaying et al. [28] introduced -Euler sequence spaces and .
We are motivated by the studies made in [27, 28] to advance this theory of developing sequence spaces by applying -calculus in and . The main objective of this paper is to study generalized Euler spaces and due to -Euler matrix in and , respectively. We obtain some topological properties and inclusion nature and determine bases for the spaces and . In Section 3, we determine , , and -duals of and . In Section 4, certain matrix transformations are characterized from and to . Section 5 is devoted to the computation of essential conditions of compactness for operators on . Finally, in Sections 6 and 7, under a definite functional and a weighted sequence of positive reals , we define new sequence space . We exhibit some geometric and topological natures of this space and eigenvalue distribution of mapping ideals constructed by this space and -numbers.
2. Banach Spaces and
The generalized -Euler matrix of order is defined by (cf. [27])where and and are nonnegative real numbers. Equivalently,
We notice that and . Thus, is regular. Furthermore, we may term as the analog of the binomial matrix . The definition so provided is justifiable as one may see that the matrix reduces to binomial matrix when and approaches 1. It is worth mentioning that reduces to the triangle when with entries . We call as the -analog of the binomial matrix . Moreover, when , then the matrix reduces to triangle with entries .
The generalized -Euler spaces and are defined by
In view of (2), we noticed that and can also be defined in the form
We emphasize here that and reduce to the below given spaces depending on the choice of and :
(1) If , and reduce to -binomial spaces and , respectively, due to Yaying et al. [28].
(2) If and , and reduce to binomial spaces and , respectively, due to Bişgin [22].
(3) If and , and reduce to -Euler space and , respectively.
(4) If and , and reduce to Euler spaces and , respectively, due to Altay and Başar [1].
(5) If , and reduce to -Euler spaces and .
Consider the sequence defined in terms of the sequence by
Then, is called -transform of . Due to (15), we get that
Theorem 1.
The spacesandarespaces because
Proof.
This is a routine work.
Remark 1.
(i) In the case , and are spaces because
as obtained by Yaying et al. [28].
(ii) In the case and , and are because
as deduced by Bişgin [22].
Theorem 2.
The spacesand.
Proof.
Since the proof of both spaces is similar, we provide the proof of the first case only. Note that the mapping defined by for all is linear and . Let be any sequence in and be as defined in (16). Then, one obtains
Thus, and is onto. This proves that the space .
Remark 2.
(i) In the case, the spacesandas obtained by Yaying et al. [28].
(ii) In the caseand, the spacesandas obtained by Bişgin [22].
Theorem 3.
The following inclusions strictly hold:
(a) .
(b) and.
Proof.
The inclusion is obvious. Hence, we present the proof for inclusion . We know that the matrix is regular; therefore, the inclusion holds. Now, let us consider the sequence ; then, transform of , that is, , is a sequence in the space , although is not a sequence in . This proves that the inclusion strictly holds. The proof for the later case is similar to the above discussion and hence the details are excluded.
We recall that the matrix domain has a basis iff has basis, where is a triangle (see [29]). In view of this fact, one obtains the following result.
Theorem 4.
Letdefined by
Then, the set
(a) forms a basis of and every has a unique representation .
(b) forms a basis of , where , and every has a unique representation , where .
3. , , and -Duals
In the present section, we compute , , and -duals of and . Because the techniques of the proof for both spaces and are the same, we present the proof for the space only.
Definition 3.
The , , and duals of are given byrespectively.
Now we present well-known lemmas due to Stielglitz and Tietz [30] which are used for proving our theorems. In the rest of the paper, represents the family of all finite subsets of .
Lemma 2.
iff
Lemma 3.
iff
Lemma 4.
iff (24) holds.
Theorem 5.
Define the setby
Then, .
Proof.
Let . Then, by using equality (16), we havewhere is a triangle defined by
Thus, we observe on using (27) that whenever iff whenever . Thus, we realize that iff . Thus, using Lemma 2, we conclude that .
Theorem 6.
Define the sets,, andby
Then, and .
Proof.
Let and be the -transform of the sequence . Then, using equality (16), we getwhere is given by
In the light of (31), one obtains that whenever iff whenever . Thus, iff . Thus, one obtains on using Lemma 3 that
Thus, .
Theorem 7.
.
Proof.
The proof is similar to the previous theorem except that Lemma 4 is used in place of Lemma 3.
4. Matrix Transformations
Now we characterize certain class of matrix transformations from and to .
Theorem 8.
Letbe arbitrary. Then, (or, respectively, ) if and only if(or, respectively, ) for each, and(or, respectively, ), wherefor all .
Proof.
This is straightforward from ([3], Theorem 8).
Now, in the light of Theorem 8 and recalling the celebrated results of Stielglitz and Tietz [30], we get the following results.
Corollary 1.
The following statements hold:
(1) iff
(2) iff (35) and (36) hold, and
(3) iff (35)–(37) hold, and
(4) iff (35) and (36) hold, and
(5) iff (35) and (36) hold, and
Corollary 2.
The following statements hold:
(1) iff (35), (36) and (38) hold, and
(2) iff (35)–(37), (39), and (43) hold, and
(3) iff (35)–(37), (39), and (43) hold.
(4) iff (35), (36), (41), and (43) hold.
(5) iff (35), (36), (42), and (43) hold.
Başar and Altay [31] developed an important result that assists in characterizing matrix mappings between two sequence spaces.
Lemma 5 (see [31]).
Let be an infinite matrix, be a triangle, and and be any two sequence spaces. Then, if and only if.
Let be an infinite matrix. In the light of Lemma 5 together with Corollaries 1 and 2, we obtain following classes of matrix mappings.
Corollary 3.
Define the matrixbyfor all . Then, the necessary and sufficient condition that is in any one of the families , , , and is determined from the respective ones in Corollaries 1 and 2, by replacing the elements of with those of , where and are generalized Cesàro sequence spaces of order given by Roopaei et al. [32].
Corollary 4.
Letbe an infinite matrix and define the matrixbywhererepresent sequence of Catalan numbers. Then, the necessary and sufficient condition thatbelongs to one of the classes,,, andis determined from the respective ones inCorollaries 1 and 2by replacing the elements ofwith those of, whereandare Catalan sequence spaces given by İlkhan [33].
Corollary 5.
Defineby
Then, the necessary and sufficient condition that belongs to one of the families , , , , , and is determined by replacing the elements of with those of from the respective ones in Corollaries 1 and 2.
5. Compactness by Hmnc
Let and be any two Banach spaces. We represent the set of all bounded linear operators by , which itself is a Banach space endowed with the norm , where the notation denotes open ball in . Define . In this case, we realize that , given that the supremum exists.
Now we recall the definitions of compact operator and Hausdorff measure of noncompactness (or Hmnc in short) of a bounded set.
Definition 4.
An operator is compact if the domain of is all of and the sequence has a convergent subsequence in for every bounded sequence in .
Definition 5.
Let be a bounded subset of a metric space . Then, Hmnc of is defined bywhere is an open sphere with centre at and radius .
The Hmnc plays a very crucial role in determining the compactness of operators between the spaces. An operator is compact iff , where represents Hmnc of given by . We refer the readers to [25, 34, 35].
Let and be any two -spaces. Then, corresponds a linear operator , where (see ([7], Theorem 3.2.4(a))). Additionally, if , then (see ([34], Theorem 1.23)), where is the set of sequences that end in zeroes.
Lemma 6.
. Furthermore, if, then.
Lemma 7 (see ([34], Theorem 2.15)).
Letbe bounded and define the operatorby; then,where is the identity operator on .
Lemma 8 (see ([35], Theorem 7)).
Letbe aspace. Then, one has the following statements:
(a) If, thenandis compact iff.
(b) Ifhasand, then
andis compact iffwherewith.
(c) If, thenandis compact if
We use the symbol to indicate the subfamily of with elements that are greater than .
Lemma 9 (see ([35], Theorem 3.11)).
Letbe aspace. If, then
is compact iff .
Lemma 10 (see ([35], Theorem 4.4, Corollary 3)).
Letbe aspace and let
Then, the following statements hold:
(a) If , then and is compact iff
(b) If has and , then
is compact iff where with for all .
(c) If , then and is compact if
Lemma 11.
If, thenandfor all, where the matrixis defined in (34).
Proof.
Let and . Then, . One obtains
Thus, for each and . Consequently, .
Theorem 9.
The following statements hold:
(a) If, then.
(b) If, then
where and .
(c) If, then.
(d) If, then
where
(e) If, then.
(f) If, then
where with .
(g) If, then.
Proof.
(a) Let . We observe that
One obtains on engaging Lemma 8 (a) that
(b) We observe that
Now, let ; then, by using Lemma 11, one obtains that . By engaging Lemma 8 (b), we deduce that
which in the light of (62) yields
which is the required result.
(c) The proof is similar to the proof of (a). Hence, the details are excluded.
(d) We have
Let . Then, Lemma 11 implies that . Hence, by using Lemma 9, we get
which further reduces on using (65) to
as desired.
(e) Notice that
which on using (a) of Lemma 10 yields
(f) We have
for each . Let . Then, Lemma 11 implies that . Thus, in view of (b) of Lemma 10, we deduce that
which on using (69) yields
as desired.
(g) This proof is similar to the proof of (e). Hence, the details are excluded.
Now, we have the following corollaries.
Corollary 6.
The following statements hold:
(a) If , then is compact iff .
(b) If , then is compact iff
(c) If , then is compact if .
(d) If , then is compact iff .
(e) If , then is compact iff .
(f) If , then is compact iff .
(g) If , then is compact if .
6. Mapping Ideals
Here, we define -type mapping ideals on . The family of all bounded linear operators between any two Banach spaces is denoted by . Specifically, indicates the family of all bounded linear mappings from Banach space to Banach space . Before proceeding to our results, we list the following notations and definitions.
Definition 6 (see [36]).
Assume is the set of nonnegative real sequences and is the set of complex numbers. Therefore, -number is a mapping satisfying the following conditions:
(i) , .
(ii) , for all and .
(iii) , for each , , and , where and are any two Banach sequence spaces.
(iv) Let and . Then, .
(v) If , then for all .
(vi) for or for , where indicates the identity mapping on -dimensional Hilbert space .
We indicate the following parameters using an assortment of -numbers:
(1) The -th Kolmogorov number, indicated by , is defined by .
(2) The -th approximation number, indicated by , is defined by .
Definition 7 (see [37]).
Suppose and denote . Then, is called a mapping ideal if the following conditions are satisfied:
(i) , where is the one-dimensional Banach sequence space.
(ii) is linear over .
(iii) If , and , then , where and are any two normed spaces.
Definition 8 (see [38]).
A pre-quasi-norm on the ideal is a mapping that satisfies the following conditions:
(i) and iff , .
(ii) There is so that , for all .
(iii) There is so that , for all .
(iv) One has so that , if , , and .
Definition 9 (see [38]).
The subspace is called a private sequence space (or in short ) if following statements are satisfied:
(i) , for all , where indicates the sequence with 1 in the position and 0 elsewhere.
(ii) If , , and , for , then .
(iii) , if , where indicates the integral part of .
Definition 10 (see [39]).
A subspace of the is called a pre-modular , if there is a function satisfying the following statements:
(i) For all , , and , with being the zero vector of .
(ii) If and , then there is with .
(iii) holds for some , with .
(iv) Suppose , ; then, .
(v) The inequality holds, for .
(vi) , where indicates the closure of the space of all sequences with infinite zero coordinates.
(vii) One has such that , with .
Definition 11 (see [39]).
The is called a pre-quasi-normed , if satisfies conditions (i)–(iii) in Definition 10. If is complete equipped with , then is said to be a pre-quasi-Banach .
Lemma 12 (see [38]).
Every pre-modular is a pre-quasi-normed .
Definition 12.
We introduce the next sequence space:where , , and .
By and , we indicate the space of all monotonic increasing and decreasing sequences of positive reals, respectively.
Theorem 10.
is a, ifor,and there isso that.
Proof.
(i) Suppose , and one has
Hence, .
Let and . So, one has
This implies is a linear space. Next
This gives , for all .
(ii) Assume that , for all and . Then, we have
This implies that .
(iii) Let , and so that . So, one has
Thus, .
This finishes the proof.
Define the sets , , and bywhere and are any two Banach sequence spaces. We denote , , and , respectively.
Lemma 13 (see [37]).
Suppose the linear sequence space is a . Then, is a mapping ideal.
Theorem 11.
Supposeor,and there isso that. Then, is a mapping ideal.
Proof.
It comes directly from Lemma 13.
Theorem 12.
Letor,and there existssuch that. Then,is a pre-modular.
Proof.
(i) Obviously, for every that and , if and only if, .
(ii) For all . Then, , for each and .
(iii) Note that , for every .
(iv) One has , if (see proof of (ii) in Theorem 10).
(v) From proof of (iii) in Theorem 10, we have that with .
(vi) .
(vii) One has, if then , for and when then .
This finishes the proof.
Theorem 13.
Suppose thator,and there isso that. Then,is a pre-quasi-Banach.
Proof.
Keeping in mind Theorem 12 and Lemma 12, it is enough to show that every Cauchy sequence in is convergent in . We suppose that is a Cauchy sequence in . Then, for every , there is so thatfor each . This gives that , for fixed and for every . Hence, is a Cauchy sequence in . As is complete, , for a fixed . This gives, by using (81), that , for every . Also, one has . This implies that . So, is a pre-quasi-Banach .
Theorem 14 (see [40]).
Let type . If is a mapping ideal, then the following conditions are satisfied:
(1) type.
(2) Iftypeandtype, thentype.
(3) Ifandtype, thentype.
(4) The sequence spaceis solid, i.e., iftypeand, for everyand, thentype.
By using Theorem 14, we introduce the following properties of the type .
Theorem 15.
Assumetype. The following settings are satisfied:
(1) We havetype.
(2) Lettypeandtype; then, type.
(3) Supposeandtype; then, type.
(4) Thetypeis solid.
7. Properties of the Pre-Quasi-Ideal
The following notations and definitions are essential for our investigation. Let and be two Banach sequence spaces.
Convention 1.
Lemma 14 (see [41]).
Assume and ; then, there exist operators and such that , for every .
Definition 13 (see [41]).
A Banach space is said to be simple if the algebra contains one and only one nontrivial closed ideal.
Theorem 16 (see [41]).
If is a Banach space with , then
In this section, firstly, we obtain sufficient conditions (not necessary) on so that . This provides a negative answer of Rhoades [42] open problem about the linearity of type space. Secondly, for which conditions on , is closed and complete? Thirdly, we explain enough setups on such that is strictly contained for different weights, and we obtain conditions so that the Banach pre-quasi-ideal is simple Banach space. Fourthly, we obtain enough conditions on such that the space of all bounded linear operators which sequence of eigenvalues in equals .
7.1. Finite Rank Pre-Quasi-Ideal
Theorem 17.
, if the conditionorand there isso thathold. But the converse is not necessarily true.
Proof.
To explain that , as , for all and is a linear space. Assume , and one gets . To show that , assume , and one has . As , suppose ; then, there is with , for some . Since , we have
Therefore, there exists such that rank and
One has
Hence, we have
According to inequalities (82)–(85) and , we obtain
On the other hand, one has a negative example as , where . This completes the proof.
7.2. Banach and Closed Pre-Quasi-Ideal
Theorem 18 (see [38]).
The function is a pre-quasi-norm on , where , for all , when is a pre-modular .
Theorem 19.
Assume the conditionorand there isso thathold; then, is a pre-quasi-Banach ideal, where.
Proof.
Since is a pre-modular , by Theorem 18, is a pre-quasi-norm on . Let be a Cauchy sequence in . Since , we have
Then, is a Cauchy sequence in . As is a Banach space, then there exists with . Since , for all , in view of (ii), (iii), and (v) in Definition 10, we have
Hence, , so .
Theorem 20.
Suppose,are normed spaces, and the conditionorand there isso thatis satisfied; then, is a pre-quasi-closed ideal, where.
Proof.
Since is a pre-modular , from Theorem 0.1, we have that is a pre-quasi-norm on . Let , for all and . As , one has
Then, is a convergent sequence in . As , for every , in view of (ii), (iii), and (v) in Definition 10, we have
We get , so .
7.3. Simple Banach Pre-Quasi-Ideal
Theorem 21.
Assumeandare Banach spaces with, and the conditionorand there isso thatare satisfied with, for every; then,
Proof.
Suppose ; then, . We have
Then, . Next, if we put with and , we obtain so that and .
Evidently, . Next, if we put so that , we have such that . This finishes the proof.
Theorem 22.
Letandbe Banach spaces with, and the conditionorand there issuch thatare satisfied with, for every; then,
Proof.
Suppose and . From Lemma 14, there are and with . Hence, for all , one has
This contradicts Theorem 21. Therefore, , as desired.
Corollary 7.
Letandbe Banach spaces with, and the conditionorand there isso thatare satisfied with, for every; then,
Proof.
The result is immediate since .
Theorem 23.
Supposeandare Banach spaces with, and the conditionorand there isso thatare satisfied; then, is simple.
Proof.
Let the closed ideal contain an operator . From Lemma 14, one has with . This implies that . Then, . Therefore, is simple Banach space.
7.4. Eigenvalues of s-Type Operators
Conventions 2.
Theorem 24.
Assumeandare Banach spaces with, and the conditionorand there isso thatare satisfied with; then,
Proof.
Suppose ; then, and , for every . One has , for every , so , for all . This implies ; then, .
Secondly, assume . Then, . Therefore, one gets
Hence, . Suppose exists, for all . Therefore, exists and is bounded, for all . Hence, exists and is bounded. As is a pre-quasi-operator ideal, one has
Therefore, one gets a contradiction, as . This implies , for all . So, . This completes the proof.
8. Conclusion
The development of sequence spaces using post-quantum analog of well-known matrices is a new study in the field of sequence spaces. We have seen some studies concerning construction of sequence spaces using the quantum analog of special matrices [6, 26]. The approach towards constructing post-quantum analog of well-known sequence spaces is another achievement in the field of sequence spaces. In the current article, we presented new Euler sequence space obtained by the domain of generalized -Euler matrix . Finally, we obtained certain geometric and topological properties of as well as the eigenvalue distribution of mapping ideals generated by this space and -numbers. Thus, our result advances some of the well-known spaces in the literature including binomial sequence spaces [22] and Euler sequence spaces [1].
The application of or -calculus in the field of the sequence spaces is a new study and has the tendency to attract more researchers in this domain. Several -analogs of well-known operators, for instance, -Cesàro mean [38], -difference operator [43], and so on, can be found in the literature. One may use these special matrices to construct-sequence spaces in the similar line to our study. Moreover, for future scope, by extending this study, one may construct the domain of the -Euler matrix in Maddox’s spaces.
Authors’ Contributions
All authors contributed equally to the writing of this paper. All authors have read and approved the final manuscript.
Acknowledgments
This work was funded by the University of Jeddah, Saudi Arabia, under grant no. (UJ-22-DR-7). The authors, therefore, acknowledge with thanks the University technical and financial support.
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