1. Introduction
To generalize or unify several forms of
q-oscillator algebras well-known in the physics literature, many mathematicians introduced
-number [
1,
2,
3]. As a result, we can find
-analogues of binomial coefficients,
-exponential functions,
-trigonometric functions, and so on, see [
2,
4,
5,
6,
7,
8,
9,
10]. In this paper, in order to introduce some properties of
-cosine Euler polynomials, we provide several definitions related to
-number used in this paper. We begin with notations:
denotes the set of the natural numbers,
denotes the set of real numbers and
denotes the set of complex numbers.
For a natural number
n, the
-number is defined by
which is a natural generalization of the
q-number, see [
3]. Here, we note that
.
Definition 1 (Ref. [
5]).
For , the -analogues of binomial coefficients are defined bywhere m and r are non-negative integers. We note , where .
Definition 2 (Ref. [
11]).
For , the -derivative of a function f with respect to x is defined byand . This proves that f is differentiable at 0, and it is clear that . Definition 3 (Refs. [
6,
12]).
The -analogue of is defined by Definition 4 (Ref. [
12]).
Two forms of -exponential functions can be expressed as From Definition 4, we can find an important property,
, see [
7,
13]. Moreover, U. Duran, M. Acikgos and S. Araci define
in [
11] as the follows:
From Equation (
1) and Definition 4, we can remark
Definition 5 (Refs. [
11,
13]).
Let . Then, the -trigonometric functions are defined bywhere, and . Such as the same way with their well known Euler expression by means of the exponential functions, we can define the
-analogues of hyperbolic functions and find some formulae, see [
4,
11,
13].
Theorem 1. The following relationships hold true. Based on the previous theory, many mathematicians have researched Bernoulli, Euler, and Genocchi polynomials combining
-numbers. Moreover, they make polynomials of various kinds which have some interesting properties and identities, see [
9,
12,
14,
15,
16]. We introduce a few polynomials which are needed in this paper.
Definition 6. For and , cosine Euler polynomials and q-cosine Euler polynomials are defined respectively as Definition 7. Let and . -cosine Bernoulli polynomials are defined by The different variations of cosine Euler polynomials, q-cosine Euler polynomials and -cosine Euler polynomials are illustrated in the diagram below. In addition, Euler polynomials and Bernoulli polynomials are closely related, so in the diagram, we can also see the relationship between cosine Bernoulli polynomials, q-cosine Bernoulli polynomials and -Bernoulli polynomials. These research began producing valuable results in areas related to number theory and combinatorics. Mathematicians are studying the extended versions of these polynomials and are researching new polynomials by combining mathematics with other fields, such as physics or engineering.
The aim of this paper is to find some properties and conjectures of
-cosine Euler polynomials. The contents of the paper are as follows.
Section 2 checks the properties of
-cosine Euler polynomials. For example, we look for
-differential equations, the properties associated with the symmetric property, and some relations between
-cosine Euler polynomials and others polynomials.
Section 3 identifies the structure and approximate circle of approximate roots of
-cosine Euler polynomials based on the contents of
Section 2.
2. Some Properties of (p, q)-Cosine Euler Polynomials
In this section, we define -cosine Euler polynomials using . From these polynomials, we find some properties and identities -cosine Euler polynomials using -binomial coefficients, -Cauchy product, and so on.
Definition 8. Let and with . Then, we define the generating function of -cosine Euler polynomials as Here, we can note some relations of -cosine Euler polynomials, q-cosine Euler polynomials, and cosine Euler polynomials:
(i) ,
where is the cosine Euler polynomials.
(ii) ,
where is the q-cosine Euler polynomials.
Theorem 2. For , we obtainwhere is the -Euler numbers, see [14]. Proof. We consider
and
. Substituting
instead of
x of
, we find
By using
-analogues of
and a property of
in Equation (
2), we find
By using Cauchy’s product in the left hand-side of (3), we have
In a similar way, we obtain
From the Equations (4) and (5), we find
which obtain the required result at once. □
Corollary 1. Setting in Theorem 2, the following holdswhere is the q-cosine Euler polynomials. In [
12], authors introduce
as the follows.
We note
is equal to
when
and
, see [
15].
Theorem 3. Let . Then, we findwhere is the -Euler numbers. Proof. From the generation function of the
-cosine Euler polynomials, we have a relation between
and
such as
By comparing the coefficients of both-sides in Equation (
6), we derive the required result. □
Corollary 2. Putting in Theorem 3, one holdswhere is the q-cosine Euler polynomials, is the q-Euler numbers, and . Theorem 4. Let and . Then, we obtain Proof. If we suppose
for
-cosine Euler polynomials, then we have
By using the power series of
and Cauchy’s product in Equation (
7), we find
We complete the proof of Theorem 4 from Equation (
8). □
In [
12], we can find a relation between
and
as
where
is the
-cosine Bernoulli polynomials.
Corollary 3. From the Theorem 4 and Equation (9), we find a relation such aswhere is the -cosine Bernoulli polynomials, see [12]. Theorem 5. For , we find Proof. Put
in the generating function of
-Euler polynomials. Then, we find
By applying
in Equation (
10), we derive
By using comparison of the coefficients in Equation (
11), we have the desired result. □
Corollary 4. Setting in Theorem 5, one holdswhere is the q-cosine Euler polynomials, see [16]. Corollary 5. Setting , in Theorem 5, the following holdswhere is the cosine Euler polynomials, see [15]. Theorem 6. Let a, b be non-negative integers. Then, we investigate Proof. From
-cosine Euler polynomials, we can derive
By rearranging the first equation of (12), we also find
From Equations (12) and (13), we can find the required result. □
Corollary 6. Putting in Theorem 6, one holds Corollary 7. Setting in Theorem 6, the following holds Corollary 8. Let , in Theorem 6. Then, one holdswhere is the cosine Euler polynomials, see [15]. Theorem 7. For , we have Proof. We consider
-derivative of
-exponential function in
-cosine Euler polynomials as
By using the generating function of
-cosine Euler polynomials in Equation (
14), we find the desired result. □
Corollary 9. Set in Theorem 7. Then, the following holds Theorem 8. Let with . Then, we derivewhere is the (p,q)-cosine Bernoulli polynomials. Proof. From the generating functions of
-cosine Euler polynomials and
-cosine Bernoulli polynomials, we find a relation such as
We suppose
in (15). Using the power series of
-exponential function, we can express (15) as
By using Cauchy product in both sides of (16), we find
From the comparison of the coefficients in (17), we derive Theorem 8. □
Corollary 10. Put in Theorem 8. Then, the following holds By using
, we define a new type of
-cosine Euler polynomials
as
Theorem 9. Let a be a non-negative integer. Then, we have Proof. Substituting
instead of
x in a new type of
-cosine Euler polynomials, we find
By comparing the coefficients of both sides in (18), we find result which is a relation between new type of -cosine Euler polynomials and -cosine Euler polynomials. □
Corollary 11. Putting instead of x in Theorem 9, the following holds 3. The Structure of Approximate Roots for (p, q)-Cosine Euler Polynomials and Their Characteristic Properties
In this section, we identify the specific polynomial form of
-cosine Euler polynomials and the structure of the approximate roots of
-cosine Euler polynomials. We also calculate the approximation of the roots varying with the value of
n to find out the shapes of the approximating circles and their properties related to it. The graphs and tables shown in this section were obtained using Mathematica (
Figure 1,
Figure 2,
Figure 3 and
Figure 4,
Table 1 and
Table 2).
First, we look at several specific
-cosine Euler polynomials as follows.
Figure 1 shows the structure of the approximate roots of
-cosine Euler polynomials. Given
,
,
, and
, we see that the structures of the approximate roots are as the left. Moreover, to determine the properties that depend on the value of
p, we can check the right graph of
Figure 1 to figure out
under the same circumstances as the left figure except when the value of
p is changed to
.
In
Figure 1, we can see that the values of the approximate roots becomes bigger as the values of
p become smaller, and the two graphs show that the approximate roots are located in an elliptical form.
This time, let’s change the value of
y to check the movement of the roots. The left side of
Figure 2 is the location of the approximate roots obtained under conditions of
,
, and
, and the right side of the figure is the structure of the approximate roots that appears when
under conditions such as the left side.
In
Figure 2, its natural to compare with the left graph in
Figure 1. As the value of
y gets bigger, so does the approximations of the roots, and as the value of
y decreases, so does the approximations of the roots.
The following
Figure 3 shows a stacking structure of approximate roots that appears when
,
, and
are conditioned on
-cosine Euler polynomials and when the value of
n varies from 1 to 30. In
Figure 3, the smaller the value of
n in
-cosine Euler polynomials, the wider the position of approximation roots, and the bigger the value of
n, the more specific the approximation roots appear to be. Here, the red dots shown in
Figure 3 are the positions of approximate roots of
-cosine Euler polynomials when
n has a value of 30.
Here, we can see through
Figure 1,
Figure 2 and
Figure 3 that the structure of the approximate roots appears approximately circular in shape. Furthermore, even when
, and
, we can confirm that the larger the value of
n gets, the closer the approximation values are to a circle form. When we check these forms of plots, we can guess that approximate roots exist in a form of circles may exist as the value of
n grows.
To confirm the above idea, we look for approximations of the roots of . The following table shows approximations of the roots of -cosine Euler polynomials which appear when , , , and .
In
Figure 4, we can grasp the interesting features of approximate roots of
-cosine Euler polynomials. As
n grows larger, we see that the position of approximations has a shape close to a circle. In
Figure 4, we plot the approximation circle in blue when
on the left,
in the middle, and
on the right. The center of each circle is also marked by a blue dot. The center, radius, and error range of the circle represented in
Figure 4 are found as shown in
Table 2. The circle equation of approximate roots for
is
, the circle equation of approximate roots of
is
, and the circle equation of approximate roots of
is
.
As it can be seen in
Table 2, we can see that as
n becomes larger, the radius becomes smaller. It can also be seen that the margin of error is reduced. Here, we find in
Figure 2 that roots exist on the real axis when
and
. The value of this point is
and we have found the equation of the circle closest to the approximate roots except for these points. This can also be seen when
. These experiments suggest that the form of approximate roots in the higher order polynomials of
will conform to a circular form, and that the center of the circle will exist close to the origin.