1. Introduction
In some fields of the quantum mechanics, especially in the field of combinatorics, fractals, dynamical systems, and quantum groups, the q-analogue of some mathematical topics is highly used. In almost all of these areas, the symmetrical structures in the immense nature of the universe are at the forefront. Mathematical analysis methods such as fractional analysis and q-analysis are well-known methods that help explain and solve these symmetric–asymmetric structures. The fact that uniform smooth spaces contain a set of points that spread symmetrically around the zero point and that Banach spaces, which are frequently used in our studies, show symmetrical behavior due to their metric structure reveals the interesting structure of mathematical concepts in the context of symmetry.
For
, the
q-analogue of some known scientific concepts is the generalization of that expression using a new parameter
q and which returns back to the original expression for
Additionally, these concepts have vast applications in engineering sciences. It is widely used by researchers in approximation theory, operator theory, and quantum algebras, as well (see [
1,
2,
3,
4]).
In [
5], Yaying et al. have given several new findings via
—calculus and compact matrix operators. Some different type operators have been investigated on homogeneous Siegel domains by Calzi and Peloso in [
6]. In [
7], the authors have provided some new bounds for the operator norm on fractional sequence spaces. In [
8], Çiçek et al. have given some generalizations on weighted spaces. In [
9,
10,
11], some new findings have been given for sequence spaces.
The
q-analogue of a non-negative natural number
n is defined by (see [
5]):
Its factorial, also known as the
q-factorial, is defined as (see [
5]):
Similarly, the
q-binomial coefficient of integers
n and
m is given by (see [
5]):
q-analogs of Cesáro matrices of order
and its properties are studied in [
12]. Further, in the same paper, Aktuglu and Bekar defined a density function and
q-statistical convergence using the classical Cesáro matrix. In this study, we examine some properties of the sequence spaces
and
, which are defined by [
13]. These spaces are constructed by
q-Cesàro matrix
, and it can be seen that
is the
q-analogue of the classical Cesàro matrix. It is shown in [
13] that these spaces are Banach spaces by their special norms and they have some interesting properties. In this study, we will first look at whether these spaces satisfy some of the further properties described with respect to the bounded linear operators on them. More specifically, we will investigate which of these spaces have such properties. Approximation and Dunford-Pettis properties are other important affliations of Banach spaces. We will see that
has Dunford-Pettis, Radon–Riesz, and Hahn–Banach extension properties. An interesting result in classical Banach spaces is related to
, discovered by Philips in [
14]. This is the Hahn–Banach extension property of
-valued bounded linear operators. We will see that
has this distinguished property, as well. Secondly, in this work we try to investigate some geometric properties such as the rotundity and smootness of some these spaces.
2. Prerequisites
The classical Cesàro matrix
C is defined by
such that
Later, Ng and Lee [
15] introduced the Cesàro sequence space
and
as follows:
and
For
, the
q-Cesàro matrix
is given in [
13], and it is defined by
Moreover,
One can easily observe that the
q-Cesàro matrix
reduces to the ordinary Cesàro matrix
C as
. The inverse of
is the matrix
such that
-transform of the sequence
is denoted by the sequence
and so
In [
13], the sequence spaces
and
are defined as the set of all sequences whose
-transforms are in the spaces
and
, respectively; that is,
and
They proved that
and
are Banach spaces with the norms
respectively. Further, they investigated some topological properties of these spaces and gave some characterization about matrix transformations between them.
We will highly benefited from the book [
16] in this work. Suppose that
X and
Y are Banach spaces. A linear operator
T from
X into
Y is compact if
is a relatively compact (means
is compact) subset of
Y whenever
B is a bounded subset of
X. The collection of all compact linear operators from
X into
Y is denoted by
, or by just
if
. The range of a compact linear operator from a Banach space into a Banach space is closed if and only if the operator has finite rank; that is, the range of the operator is finite-dimensional [
16].
Definition 1 ([
17]).
A normed space X is rotund
or strictly convex or strictly normed ifwhenever and are different points of unit sphere and . An easier and more useful characterization of rotundity is the following theorem.
Theorem 1 ([
16]).
Suppose that X is a normed space. Then, X is rotund if and only ifwhenever and are different points of . Theorem 2 ([
16]).
A normed space is rotund if and only if each of its two-dimensional subspaces is rotund. Definition 2 ([
16]).
Suppose that is an element of the unit sphere of a normed space X. Then, is a point of smoothness of the unit ball if there is no more than one support hyperplane for that supports at The space X is smooth if each point of is a point of smoothness of . Suppose that
X is a normed space,
and
. Let
and
Then,
and
are, respectively, the left-hand and right-hand
Gateaux derivative of the norm at
x in the direction
y. The norm is
Gateaux differentiable at
x in the direction
y if
, in which case the common value of
and
is denoted by
and is called the Gateaux derivative of the norm at
x in the direction
y. If the norm is Gateaux differentiable at
x in every direction
y, then the norm is Gateaux differentiable at
x. Finally, if the norm is Gateaux differentiable at every point of the unit sphere
, then it is simply said that the norm is
Gateaux differentiable.
Theorem 3. (1) A normed space is smooth if and only if its norm is Gateaux differentiable [16]. (2) A normed space is smooth if and only if each of its two-dimensional subspaces is smooth [16]. Definition 3 ([
18]).
A Banach space X has the approximation property
if, for every Banach space Y, the set of finite-rank members of is dense in . Proposition 1. The spaces and have the approximation property [16]. Suppose that
X and
Y are Banach spaces. A linear operator
T from
X into
Y is weakly compact if
is a relatively weakly compact subset of
Y whenever
B is a bounded subset of
X. The collection of all weakly compact linear operators from
X into
Y is denoted by
, or by just
if
. Note that a subset
U of
X is relatively weakly compact, which means
is weakly compact subset of
is weakly compact subset of
Y if and only if
is compacy subset of
Y in its weak topology. It is known by the Eberlein–Smulian theorem that [
16]:
Proposition 2. Suppose that T is a linear operator from a Banach space X into a Banach space Y. Then, T is weakly compact if and only if for any bounded sequence in X has a subsequence such that converges weakly.
Definition 4 ([
19]).
Suppose that X and Y are Banach spaces. A linear operator T from X into Y is completely continuous
or a Dunford-Pettis operotor if is a compact subset of Y whenever K is a weakly compact subset of X. Proposition 3 ([
16]).
has the Dunford-Pettis property. Definition 5. A normed space has the Radon–Riesz property or the Kadets-Klee property or property (H) and is called a Radon–Riesz space if it satisfies the following condition: Whenever is a sequence in the space and x an element of the space such that and , it follows that .
An unusual property of the sequence space , shown by Phillips, is its injectivity. More precisely, the property is given in the following theorem.
Theorem 4 ([
14]).
Let Y be a linear subspace of the Banach space X and be a bounded linear operator. Then, T may be extended to a bounded linear operator having the same norm as The bounded linear operator T is known as a Hahn–Banach operator, and then it is said that has the Hahn–Banach extension property in the literature.
3. Main Results
Now, we are in a position that to prove some new findings for sequence spaces with some further extension properties. Also, we will investigate the geometric properties of these spaces.
Theorem 5. For the Banach space has the approximation property.
Proof. Suppose that
T is a compact linear operator from a Banach space
Y into
We will find a sequence
of bounded linear operators of finite rank from
Y into
For any
and for any bounded sequnce
in
the sequence
has a convergent subsequence
in
Hence,
If we remember the definition of the space
This means the operator
is well-defined and compact. The matrix transformation
is clearly bounded linear, so it can be denoted as
. Since
has the approximation property, a sequence
of bounded linear operators of finite rank from
to
exists such that
as
Now, the sequence
is the desired sequece of finite rank from
to
Easily, we can see that each
is bounded linear and has finite rank. Further,
This completes the proof. □
Theorem 6. has the Dunford-Pettis property.
Proof. Let
be a weakly compact linear operator and compose
T with
Then,
is obviously a bounded linear operator from
into
Further, it is weakly compact. Let us prove this: suppose
U is a bounded in
By the boundedness of the matrix operator
, we conclude that
is a bounded subset of
Therefore,
is a relatively weakly compact set in
As a result,
is a weakly compact operator. Now, since
has the Dunford-Pettis property, we obtain that
is completely continuous. Let
W be a weakly compact subset of
. Then,
is a weakly compact subset of
[
16] Exercise 3.50., and so
is a compact subset in
□
Let us present that has the Hahn–Banach extension property.
Theorem 7. Let Y be a linear subspace of the Banach space X and be a bounded linear operator. Then, T may be extended to a bounded linear operator having the same norm as
Proof. For any bounded linear operator
and from the Theorem 4,
has the Hahn–Banach extension property. Thus,
may be extended to a bounded linear operator
having the same norm as
Now, let us consider the operator
Classical operator algebra says that
is a bounded linear operator from
X to
Only we will show that
S is an extension of
T and
For any
Now,
where
is the identity operator on
□
Theorem 8. has the Radon–Riesz property.
Proof. Let
be a sequence in
and
x an element of
Assume that
and
We will prove that
Now, the assumption
implies that
for each
Let us show that
to complete the proof:
Take
Now,
is a continuous linear functional on
from the properties of the matrix
Further,
from the Riesz’s Theorem. By the assumption
, we have
Dually, let us now take
for each
Then,
Again, each
is a continuous linear functional on
, and by the assumption
, we have
Eventually, by the assumption
we have
□
4. Uniform Smoothness and Rotundity
We know that the unit sphere of n-dimensional Euclidean space is rotund. Additionally, the geometry of all spaces, tells us that the unit spheres of them are rotund. Is it true for the sequence space
Theorem 9. For the space is rotund.
Proof. By Proposition 2, it is sufficient to prove rotundity of the space
in
where
are elements of the unit vector basis of
That is, we will consider two-dimensional subspace
Let
x and
y be arbitrary elements of
and
Then,
Remember,
and write
and
Hence,
By the rotundity of two-dimensional Banach space
where
and
are elements of
we obtain
Again, remember that
Thus, we obtain
□
Theorem 10. and are not rotund.
Proof. Consider two special elements
and
in
, and let us see that
x and
Indeed,
and similarly
Now,
This means
is not rotund. The assertion for
can be done similarly. □
The uniform smoothness of a Banach spaces is an indication that the geometry of the balls in the space does not contain sharp edges or cliffs. We see that sequence spaces has this property as well.
Definition 6 ([
16]).
Suppose that X is a normed- space. Define a function by the formulaif and by the formulaif . Then, is the modulus of smoothness of X. The space X is uniformly smooth if . Remark 1. Uniformly smooth Banach spaces are important because they allow to establish, to some extent, concepts close to geometric structures that can be constructed in Hilbert spaces. Of course, every Hilbert space is uniformly smooth. However, the reverse is not true. The condition also includes that the norm of the space is uniformly Gateaux differentiable, that is, Frechet differentiable at every point in every direction. Therefore, uniformly smooth spaces are smooth, but the reverse is not true.
Theorem 11. For the space is uniformly smooth.
Proof. First of all, let us calculate
and
and
gives the
uncertainty in the primary stage, and then we can solve this limit with the help of L’Hospital rule. Then,
Now, let us try to determine
By the properties of the supremum and by the linearity of the derivative, we can write
Let us consider
and similarly,
Now, we should focuse on derivatives. Then, we obtain
and similarly,
Now, if we apply
, then
and
We just see that
Remember that
for
and so
Eventually, we obtain
This completes the proof □
Theorem 12. and are not uniformly smooth.