Abstract
In this paper, we introduce the concept of generalized Fourier series, generated by the p-trigonometric functions, namely cosp and sinp, recently introduced related to the generalized complex numbers systems. The aim of this study is to represent a periodic signal as a sum of p-sine and p-cosine functions. In order to achieve this, we first present the integrals of the product of the same or different family of p-trigonometric functions over the full period of these functions to understand the orthogonality properties. Next, we use these integrals to derive the coefficients of the generalized p-Fourier series along with a few examples. The generalized Fourier series can be used to expand an arbitrary forcing function in the solution of a non-homogeneous linear ordinary differential equation (ODE) with constant coefficients.
MSC:
33B10; 33E50; 33E15; 42A16; 42C10
1. Introduction
Generalized complex numbers comprise two component numbers of the following form:
where [1,2]
A one-parameter family of generalized complex numbers system is
which was studied in [3]. When is referred to as an elliptical complex number system. For elliptical complex numbers and , addition and multiplication operators are defined by
and
As it is well known, is a field under these two operations [3]. On the other hand, the p-magnitude of is . The unit circle in is an Euclidean ellipse which is given by the equation Specially, if , this ellipse matches the Euclidean unit circle.
Let , in which the number can be expressed with a position vector, as was observed in [3]. The arc of ellipse between this vector and the real axis determines an elliptic angle . This angle is called the p-argument of . Generalized complex numbers and elliptical complex numbers in the literature can be found in [4,5,6,7,8,9] and the references therein. The authors in [3] have introduced, in , the p-trigonometric functions p-cosine, p-sine, and p-tangent as
Recently, in [10], we have introduced the following p-trigonometric functions:
along with their connection with the p-hyperbolic family of functions.
In [10], we studied some important identities related to bridging the family of p-trigonometric and p-hyperbolic functions, involving p-complex numbers. More details on the concept of p-complex numbers and their connections to p-trigonometric functions can be found in [2,3,4,11,12]. The extension of these properties to logarithmic functions with complex arguments can be found in [10]. The study of these special functions will also help in the development of unknown properties and identities involving other classes of p-trigonometric series [13].
A generalized Fourier series is a series expansion of a periodic function based on the special properties of a complete orthogonal system of functions [14,15,16,17]. The typical example of such a series is the classical Fourier series, which is based on the bi-orthogonality property of trigonometric functions. This can be extended with cosp and sinp functions, which form a complete bi-orthogonal system under integration over the range of their full period [18,19]. The generalized Fourier series plays a similar role as the classical Fourier series [13,20], with some additional tuning knobs. By expressing a function as a sum of p-sine and p-cosine functions, many complicated real world problems involving these functions become easier to analyze because p-trigonometric functions are not very well understood and applied in real-world data modeling. For example, p-Fourier series can be used to find solutions of some ordinary differential equations (ODEs). With periodic forcing, this application is possible because the derivatives of p-trigonometric functions fall into simpler patterns. The p-Fourier series cannot be used to approximate arbitrary non-periodic functions because most functions have infinitely many terms in their Fourier series, and the series do not always converge.
2. Integration of p-Trigonometric Functions
The integration of generalized p-trigonometric functions involves basic simplification techniques. These techniques use different p-trigonometric identities, which can be written in an alternative form that is more amenable to the list of integrations.
Theorem 1.
Below is the list of few formulas for the integration of trigonometric functions:
Here, C is the constant of integration.
Lemma 1.
(i) If is an even function, then
(ii) If is an odd function, then
(iii) If is a periodic function with period T, then
Example 1.
(1) Set . We observe that ψ is even and is periodic. According to statements (i) and (iii), we may write the following:
(2) Set . We observe that ψ is even and is periodic. According to statements (i) and (iii), we may write the following:
(3) Set . We observe that ψ is odd and is periodic. According to statements (ii), we may write the following:
Now, we propose the following theorem by establishing some orthogonality properties of sinp and cosp functions, which will be useful later to derive p-Fourier series.
Theorem 2.
Integrals of the product of same p-trigonometric functions:
The family satisfies the following properties of orthogonality for :
Proof.
We establish the identity (20) by means of (8) as
Next, we establish Equation (21) by means of Equation (8) as
We then establish Equation (22) by means of Equation (8), as follows:
We then establish Equation (23) by means of Equation (8) as
□
Corollary 1.
From the above Theorem 2, we immediately derive the following consequence:
Theorem 3.
Integrals of the product of different p-trigonometric functions:
The family satisfies the following identities:
3. Generalized -Fourier Series
In this section, we introduce the concept of generalized Fourier series. The coefficients of Fourier series are determined by integrals of the function multiplied by p-trigonometric functions, which are described in classical forms of the Fourier series [14,15,16,17].
Definition 1.
Let be a -periodic function; thus, the generated p-Fourier series is given by
Theorem 4.
If T is a -periodic and continuous function, then the Fourier coefficients are given by
Proof.
According to
and Equations (8), (22), (23), and (28), we have
Hence,
According to equality
and Equations (7), (20), (21), and (28), we have
Therefore,
□
Example 2.
Find the p-generalized Fourier series of the function
- Solution: T generated a p-generalized Fourier series, which is given by
Theorem 5.
Let T be a -periodic and continuous function and
Then, the generalized Parseval’s identity holds, as follows:
Proof.
Assume that
and let
Set
We have
We observe that
By taking into account Equations (20), (21), (22), (23), and (28), we get
On the other hand,
By taking into account Equations (20), (21), (22), (23), and (28), we get
Moreover,
By taking and , we get
or and if and only if and .
Since is positive, we get
If , we get Bessel’s inequalities, as follows:
If
we get the generalized Parseval’s identity. □
Example 3.
Consider T to be a -periodic and continuous function, such that
We have
- Solution:
On the other hand,
Moreover,
From the above calculation, we get
4. -Fourier Series Solutions of Ordinary Differential Equations
Consider the second-order non-homogeneous differential equation:
where T satisfies the following conditions:
- (1)
- T is -periodic,
- (2)
- T and are piecewise continuous differentiable of ,
- (3)
- and are constant with .
We are interested in finding a solution of the differential equation, which is -periodic, which we shall denote by and which is of the following form:
Proof.
We have
and
A straight forward calculation gives
On the other hand, we may write the following:
From the differential equation
we get and so
and
Multiply Equation by and Equation by and substitute; thus, we get
Multiply Equation by and Equation by and substitute; thus, we get
□
Example 4.
Solve the differential equation
where T is a -periodic and continuous function given by
- Solution: We find the p-Fourier series of T as
5. Conclusions
We provide the definition of the generalized p-Fourier series and then study some of its properties, involving the sinp and cosp functions. We also present examples of solutions to some non-homogeneous differential equations using the proposed p-Fourier series. It is well known that sinp and cosp functions are capable of modeling damped oscillations and complex periodic shapes, similar to the Bessel and other special functions. This study was motivated by wavelet analysis, where basis functions represent local periodic fluctuations, as opposed to the infinitely long basis functions like the classical sin and cos functions. This type of analysis is particularly useful for representing non-stationary functions with a complex geometric shape.
We started this investigation based on the foundational works on p-trigonometric functions, which are a significant contribution in the study of special trigonometric functions for modeling real-world phenomena. They are generalized versions of classical trigonometric functions for elliptic complex numbers, and only one special case with coincides with standard trigonometric functions. The geometric nature of these special functions is different, exhibiting interesting kinds of oscillations, as revealed in [21]. Although the results presented here may seem to be similar to the classical Fourier series analysis, the p-Fourier series are able to model signals with different kinds of flexible basis functions beyond classical trigonometric functions.
In the future, we will validate this work using numerical simulations of stationary and non-stationary even and odd functions. However, the use of special functions, like Bessel, Legendre, etc., within Fourier series is an established method in obtaining analytical solutions of ODEs for boundary value problems (BVPs) and partial differential equations (PDEs) on certain geometric systems, which can be extended using the new classes of sinp and cosp special functions in the future.
Author Contributions
A.H.A., methodology, validation, formal analysis, investigation, data curation, and writing—original draft; S.D., conceptualization, resources, writing—review and editing, supervision, project administration, and funding acquisition. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.
Acknowledgments
A.H.A. thanks Jouf University and Saudi Arabia Cultural Bureau in London, England, for supporting this research. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) license to any Author’s Accepted Manuscript version that arises.
Conflicts of Interest
The authors declare no conflicts of interest.
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