1. Introduction
Taylor’s theorem is an essential part of calculus and analysis because it enables us to examine the nature of functions, including their derivatives. It provides information on the power series of
that contains all the orders of derivatives at
and is expressed as follows:
where
and
is a non-negative integer. This is a method for approximating complex functions via less complicated polynomials and is essential for numerous applications in science and mathematics. It also significantly impacts computer science, economics, physics, engineering, scientific simulation, and error analysis. For instance, Taylor’s theorem plays a key role in the finite element methods (FEMs) [
1] used for finding the numerical solutions of differential equations in mechanical and civil engineering. In 2021, L. Wei et al. explained neural tensor networks mathematically using Taylor’s formula [
2]. L. Gabor and his co-authors used Taylor’s theorem to find the numerical solutions of kinetic differential equations [
3]. In 2017, the Taylor expansion was utilized by Y. Ding et al. to identify emotion in faces from image frames [
4]. For further readings regarding applications of Taylor’s theorem, see [
5,
6]. In short, we can approximate a continuous function with a discrete or piecewise continuous function through the Taylor expansion. As stated below, the Taylor expansion is studied in [
7] as a generalized form for polynomials.
Theorem 1 ([
7]).
Let be the linear operator defined on a space of polynomials and for any , this list of polynomials satisfies the following conditions:- (i)
and for any ,
- (ii)
is the degree of the polynomial ,
- (iii)
for any , and .
Then, for any positive integer , the Taylor’s formula for any polynomial of degree is Throughout this paper, our concern about Taylor expansion is only for the polynomial perspective. The
-version of (
1) is also studied in [
7]. For this purpose, let the polynomial
, which satisfies all conditions of Theorem 1, where
will be defined below later, and
can be defined as
The -Taylor formula for a polynomial is stated as.
Theorem 2 ([
7]).
For any number β and the polynomial with degree , thenis called a -Taylor expansion of . Many applications of the
-Taylor expansion can be seen in the literature. See [
8,
9,
10]. The symmetric
-analogue or power of
is also studied in [
7], which can be written as
So, the degree of the polynomial
is equal to
. In a similar fashion, one thing also noticed in [
7] is that the polynomial
does not satisfy the first condition of Theorem 1. The author of [
7] later proposed another generalized form for the polynomial
in [
11] that we will mention in the next section. The author has suggested a method for proving the newly suggested result, but the proof is not yet in the literature. So, we will provide proof of the newly suggested result. But before proceeding, we will review some literature about
-, symmetric
-, and
-calculus that is the inspiration for deriving new results in mathematics.
Let an integer
and
; then, the
-analogue of
can be defined as [
7]
and
is called the
-number. Similarly, for any number
, the symmetric
-analogue of
(called the symmetric
-number) can be defined as [
7]
The classical binomial coefficients can be written as
and play a key role in combinatorics. Its
and symmetric
version are defined as [
7]
and
respectively. Here,
and
.
Definition 1 ([
7]).
For any function , thenis called a -differential of . Its corresponding derivative can be defined as.
Definition 2 ([
7]).
For any function , thenis called a -derivative of . For further details on quantum calculus, the readers can also see [
12].
Definition 3 ([
7]).
For any function , thenis called symmetric -differential of . Definition 4 ([
7]).
For any function , thenis called symmetric -derivative of . Cruz et al. have introduced a new approach to the study of quantum calculus in [
13], namely q-symmetric variational calculus. As a result, they constructed the optimal conditions of the Euler–Lagrange type to study symmetrical variation problems. Many studies have been conducted on symmetric derivatives and integrals in order to get around the drawbacks of classical derivatives and integral operators. In [
14], applications of symmetric quantum calculus to the class of harmonic functions, convexity, compactness, radii of
starlike and
convex functions of order
, and extreme points for this recently described class of harmonic functions were among the novel conclusions they established. In [
15], the authors investigated quantum-symmetric derivatives on finite intervals. They also introduced the concept of integral operators and right quantum symmetric derivatives and also examined a number of their features on inequality theory (see also [
16]). Butt et al. in [
17] presented some Hermite-Hadamard and midpoint-type inequalities in symmetric quantum calculus and extended them on a finite rectangular plane in [
18] and for symmetric Hahn calculus in [
19].
For any number
, R. Jagannathan et al. [
20] extended the
-number into (
)-number or basic twin number that is derived below:
If
, it becomes a
-number. They also extended (
4) into a (
)-binomial coefficient that is written below.
where
, for
and
. If
, it becomes (
4).
P. Njionou Sadjang [
21] extended the idea of (
6) into a (
)-differential of a function that is defined below.
Definition 5 ([
21]).
For any function , thenis called a ()-differential of . The
-Taylor’s formula for a polynomial is studied in [
21] and stated below.
Theorem 3 ([
21]).
For any number β and the polynomial with degree , thenis called the -Taylor expansion of . Corollary 1 ([
21]).
If in (
11),
it becomes Inspired by the (
7), R. Chakrabarti et al. [
22] studied (
7) at (
)-level briefly. See [
23,
24,
25] for more details about the
-calculus.
Definition 6 ([
22]).
For any function , thenis called the ()-derivative of . If
in (
13), it becomes (
7). This idea becomes the main reason for our motivation.
3. New Definitions and Results
For any non-negative integer
, we can define a symmetric (
)-number or a dual basic symmetric number and write it as
If
, it becomes a symmetric
-number. In addition, we can also extend the symmetric
-binomial coefficients into a symmetric (
)-version that can be defined as
where
.
Now, let us introduce a dual basic symmetric differential of a function.
Definition 7. For any function , thenis called a symmetric ()-differential or dual basic symmetric differential of . If
, then (
23) becomes
. Moreover, if
(
23), then it is reduced to (
8).
Proposition 1. For any two functions and , thenis called the product rule of a symmetric ()-differential. Induced by the symmetric ()-differential, we can also define the symmetric ()-derivative.
Definition 8. For any function , thenis called symmetric ()-derivative or dual basic symmetric derivative of . If
in (
25), it will become a symmetric
-derivative.
Example 1. Let , where is a positive integer, and its symmetric ()-derivative is Proposition 2. For any two functions and , then there exist two integers and such that theequality holds. Proof. This is obvious from the definition of the symmetric ()-derivative. □
Proposition 3. For any two functions and , thenare called the product rules of symmetric ()-derivatives. Proof. Using (
25) and (
24),
Also, we can prove (
27) in a similar way. □
Proposition 4. For any two functions and with , thenis called the quotient rule of symmetric ()-derivatives. Proof. Since
, we have
Applying (
26),
□
Definition 9. The symmetric ()-power can be written aswith . If
in (
29), it will become a symmetric
-power, which is described in [
7].
Proposition 5. Ifwith any positive integer , then Proof. Use induction on .
Let
and
; then using (
26), we can infer that
is proved. □
Remark 1. It is obvious that if ; then .
Proposition 5 can be extended to higher-order derivatives.
Proposition 6. Ifthen for any integer , Proof. We are applying induction on
. Since it is obvious for
, we start induction from
. Since for
, it becomes (
30), now, suppose that it is true for
with
.
As
□
Now, we construct the symmetric -Taylor’s formula for polynomials.
Theorem 6. For any real number β and a polynomial with degree , thenis called symmetric -Taylor’s or -Taylor’s expansion of . Proof. Suppose a polynomial
with degree
, then
This can be split into two parts:
is an even index and
is an odd index term.
For any even
and
, applying
on both sides of (
34) and using (
32), we have
where
and
. If we put
in (
35), we obtain
For any odd
and
, applying
on both sides of (
34) and using (
32), then, the even index terms of the polynomial becomes odd and odd index terms become even, and we have
where
and
. If we put
in (
37), then,
Putting (
36) and (
38) in (
34), we obtain (
33). □
Corollary 3. If we let in (
33),
we have the following result: Now, we provide an example that differentiates the classical, quantum, and newly obtained Taylor’s formulae for an arbitrary polynomial function. In addition, this example will be useful for finding new approximations of other functions in quantum, post-quantum, and their symmetric versions in upcoming research.
Example 2. Let and .
- Case 1.
Classical Taylor expansion of :
The classical Taylor expansion of around is - Case 2.
The -Taylor expansion of :
The -Taylor expansion of around with is - Case 3.
The -symmetric Taylor expansion of :
Using Corollary 2, put and in (
21),
we obtain the -symmetric Taylor expansion of and write it asThe graphical representation of the -symmetric Taylor expansion of is provided in Figure 7, Figure 8 and Figure 9. - Case 4.
The -Taylor expansion of :
Put and in Corollary 1; the -Taylor expansion of is Let us set and ; then, the above expansion will becomeThe graphical representation of -Taylor expansion of around is given below in the Figure 10, Figure 11 and Figure 12. - Case 5.
The symmetric -Taylor expansion of :
If we put and in (
39),
then the symmetric -Taylor expansion of can be derived asHere, put and ; then, the symmetric -Taylor expansion becomesThe graphical representation of the symmetric -Taylor expansion of around can be seen in Figure 13, Figure 14 and Figure 15.
It can therefore be seen that all of Taylor’s formulae for the cubic function give different approximations (term to term) and converge to the original curve.
Remark 2. It can be seen that .
Proof. The proof is the same as Proposition 5. □
The Proposition 7 can also be generalized for higher-order derivatives.
Proposition 8. Ifwith any non-negative integer , then for any integer , Proof. The proof is similar to Proposition 6. □
Theorem 7. For any real number β and the polynomial with degree , thenis called symmetric -Taylor or -Taylor expansion of . Proof. We can prove it the same as (
33). □
Corollary 4. If we put in (
40),
then we have Now, we introduce the symmetric -integration. For this, we have to define some operators, which are described below.
Definition 10. Let and be the two linear operators in the field of polynomials that are defined as Proposition 9. If and are the linear operator in the field of polynomials, then
- (i)
- (ii)
- (iii)
.
Proof. (i) Since for any polynomial
, we have
which endorses our desired result. Similarly, we can verify (ii) and (iii). □
Let
be the symmetric
-antiderivative of
. Then by using
, we can write
Hence
where
is an odd integer. It is obvious that if the R.H.S. of (
41) converges, then
is the symmetric
-antiderivative of
, and it becomes zero at
. As a consequence, we define the symmetric definite
-integrals that are mentioned below.
Definition 11. For any arbitrary function , thenwhereis called a symmetric definite -integral or definite -integral of . If
in (
42), it reduces to the definite
-integral that is mentioned in [
7].
Theorem 8 (Fundamental theorem of symmetric
-calculus).
For any arbitrary continuous function, where and is its symmetric -antiderivative, thenwhere . Proof. Since
is symmetric
-antiderivative and
, then, using (
41), we have
Since, by (
43), we have
then (
45) becomes
Similarly, we have
Subtracting (
46) from (
47), we obtain the desired result. □
4. Fractional Dual Basic Symmetric Quantum Integral
In this section, we define another
-number, which can be written as
The factorial of this number can be defined as
Another
-symmetric analogue of
can be written as
It can be extended to
and written as
For
, the
-symmetric gamma function can be derived as
The definite
-integral can also be written as
here
Moreover, for a nonnegative integer
,
is called the higher-order
-derivative of
. Therefore, it is obvious that
Furthermore, we can define the operator for these derivatives, and the following results exist:
- (i)
,
- (ii)
,
- (iii)
,
- (iv)
.
Now, we derive a lemma that is very useful to construct the -symmetric Cauchy’s formula.
Lemma 1. For any positive integer η,holds. Proof. Expanding the summation of the left side of (
50), we have
□
Theorem 9. Let be denoted as multiple definite -integrals; then,exists, where . Proof. Using induction on
. For
,
Hence, (
51) is true for
. Suppose it is true for
. As
Using Lemma 1,
Thus, it is also true for
. □
Remark 3. If we fix , then (
51)
is reduced to the -symmetric Cauchy’s formula, which is discussed in [26]. Now, we introduce the fractional -integral formula.
Definition 12. For any positive real number , thenis said to be a fractional -integral formula. Moreover, it is obvious that it shrinks into a fractional -symmetric integral formula when . 5. Conclusions
In this work, we wrote out the specific case of generalized Taylor expansions for polynomials in symmetric quantum calculus and derived a proof for it. Furthermore, we established a new kind of calculus known as dual basic symmetric quantum calculus or symmetric -calculus. Furthermore, using this calculus, we obtained the symmetric -Taylor expansion for polynomials. Next, we examined Taylor’s formulas for classical, quantum, symmetric quantum, -, and dual basic symmetric quantum calculus using an example. Moreover, we defined symmetric definite -integral and deduced the fundamental law of symmetric -calculus. Lastly, we derived the symmetric -Cauchy formula for integrals, and using this notion, we introduced fractional -symmetric integrals. In upcoming papers, this new calculus might be more useful in obtaining new results in mathematics and engineering. For example, it can be used to create several integral inequalities and to obtain new findings for Z-Transforms in engineering and physics. Furthermore, this kind of calculus will provide fresh perspectives on the field of fractional calculus.