Mathematical Problems in Engineering

Volume 2015, Article ID 481905, 9 pages

http://dx.doi.org/10.1155/2015/481905

## Local Fractional Fourier Series Method for Solving Nonlinear Equations with Local Fractional Operators

School of Mathematics and Statistics, Nanyang Normal University, Nanyang 473061, China

Received 24 October 2014; Accepted 23 January 2015

Academic Editor: Sandile Motsa

Copyright © 2015 Yong-Ju Yang and Shun-Qin Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

We apply the local fractional Fourier series method for solving nonlinear equation with local fractional operators. This method is the coupling of the local fractional Fourier series expansion method with other methods, such as the Yang-Laplace transformation method and the local fractional power series method, which effectively separates the variables of partial differential equation. Some testing nonlinear equations and equation systems are given to demonstrate the accuracy and applicability of the proposed approach.

#### 1. Introduction

There are many definitions of fractional derivative and integral, such as Riesz, Caputo, Riemann-Liouville, Marchaud, and Sonin-Letnikov [1, 2]. Nonlinear fractional differential equation and nonlinear fractional integral-differential equation are the promising fields of research in technology and science. But it is very difficult to solve these nonlinear equations with fractional differential or fractional integral operator. For these reasons, many methods have been developed to solve these nonlinear equations, for example, the homotopy perturbation method [3, 4], the differential transform method [5, 6], the Adomian decomposition method [7], the shifted Legendre spectral method [8], the variational iteration method [9–11], and the shifted Jacobi-Gauss-Lobatto collocation method [12].

Recently, the local fractional differential and calculus theory is introduced in [13, 14], which is set up on fractal geometry and which is the best candidate for depicting the nondifferential function defined on Cantor sets. The geometric and physical interpretation for the local fractional derivative can be seen in [13–16]. The theory in [13, 14] has been successfully applied in describing many physical phenomena in fractal-like media; for example, the local fractional Poisson and Laplace equations with applications to electrostatics in fractal domain were expressed in [17]; to describe the fractal electric and magnetic fields, Maxwell’s equations on Cantor sets were utilized in [18]; diffusion and wave equations on Cantor sets were investigated in [19]; 1D heat conduction in a fractal medium was discussed in [20]. The local fractional differential and calculus theory has also been applied in some branches of applied mathematics [21], and so forth. Meanwhile, a substantial amount of methods for the fractional differential equations with local fractional operators is proposed, which are referred to in [17–21].

The local fractional Fourier series method has been proposed in [22], which is the coupling of the local fractional Fourier series expansion method with the Yang-Laplace transformation method for solving local fractional linear differential equations. The method has provoked some attention by a few authors in [23, 24]. In this paper, by coupling of the local fractional Fourier series expansion method with a few methods, not only the Yang-Laplace method, we generalize and enrich the local fractional Fourier series method for solving some nonlinear equations within the local fractional differential or fractional integral operator. In this paper, the advantage of this method can be attributed to its endeavor in finding the solution by transforming solving partial differential or integral-differential equations to solving a system of ordinary differential equations and then reducing the complicated calculations to more easily calculations.

The rest of the paper is organized as follows. In Section 2, the basic mathematical fundamentals are presented briefly. In Section 3, the local fractional Fourier series method for solving the nonlinear differential equations with local fractional operator is presented. In Section 4, several test examples are illustrated. Finally, in Section 5, the conclusion is given.

#### 2. Mathematical Fundamentals

In this section, we introduce the basic definitions and properties of the local fractional differential and calculus theory which will be used in this paper.

##### 2.1. Local Fractional Derivative and Integral

The local fractional derivative of of order at is defined by [13, 14]

In the bounded closed interval , the local fractional integral of of order is defined by [13, 14]where , , and , , , , is a partition of the interval .

##### 2.2. Basic Concept of Yang-Laplace Transform

Suppose that is bounded; the Yang-Laplace transform of is defined as [14]where the latter integral converges and .

The inverse Yang-Laplace transform of is defined by the expression [13, 14]:where , is an imaginary unit and .

##### 2.3. Local Fractional Taylor’s Series

If are local fractional continuous on the interval for , the local fractional Taylor’s series of is defined aswith , , where [13, 14].

Suppose (or , resp.) is a function defined on fractal set (or , resp.). For convenience, in this paper, let , (or , , resp.) denote , (or , , resp.). For more details of the local fractional differential and calculus theory can be seen in [13, 14].

#### 3. Local Fractional Fourier Series Method

In this section we will present the local fractional Fourier series method to derive particular solution of some nonlinear differential equations.

In order to elucidate the solution procedure of this method, we consider the local fractional differential equation on fractal setwith boundary and initial conditionswhere is the term of the highest order derivative, is a linear operator, is a nonlinear operator, is a source term, and

Now we investigate the solution of (6).

Expand , to be odd functions of period in terms of the variable , respectively (in the following, let also denote its expanded odd function of period for simplicity). According to the local fractional Fourier series expansion method, the Fourier trigonometric series of some functions can be represented bywhere the functions coefficients , , , , , and are determined by the following equation system:Substituting (9) into (6) and assuming that termwise differential is permitted, we obtainComparing the coefficient of like and on both sides of (10), respectively, the following equation system is obtained:Indeed, via the local fractional Fourier series expansion, the partial differential equation (6) problem is attributed to the ordinary equation system (11). Obviously, it is easier to study system (11) than (6). Some other methods, for example, the Yang-Laplace transformation method and the local fractional power series method, can be easily selected to solve (11).

#### 4. Illustrative Examples

In order to illustrate the above local fractional Fourier series method in Section 3, we give the following several examples on fractal set: the local fractional differential equation; integral-differential equation; and integral-differential equation system.

*Example 1. *The nonhomogeneous local fractional differential Tricomi equation is written in the following form: subject to the boundary and initial conditions described byObviouslyAccording to the equation system (8) and (9), we obtain Substituting (16) and (17) into (12) and then comparing the coefficient of like , the following equation can be deduced:Applying the Yang-Laplace transform on both sides of (18) and using the initial condition (13), we haveTaking the inverse Yang-Laplace transform on both sides of (19), we getThus, the final solution of (12) is

According to the ideas of local fractional Fourier series method, we can also deal with integral-differential equation or integral-differential equation system with a similar method.

*Example 2. *We consider the following gas dynamic-like integral-differential equation:subject to the boundary and initial conditionsObviouslyAccording to (8) and (9) and (22), we obtain where By virtue of we can get Due to (28), we haveThen we yield Analyzing (23) and (30), we impose the following assumptions on (30):According to (30), we can getApplying the eigenvalue method [14], the solution of (32) is where , are all constant numbers.

Using the initial condition (23) we getBy virtue of (31) and (34), the final solution of (22) is readily found to be

*Example 3. *The local fractional differential equation system is written in the following form:subject to the boundary and initial conditions described byAccording to (8) and (9), we can get Substituting (38) into (36) results in the following:where and where Because of (39), we can getAnalyzing (37) and equating the coefficient of like on both sides of equation in (42), respectively, we impose the following assumptions on (42):Then, equating the coefficient of like on both sides of equation in (42), respectively, the following equation system is obtained:Analyzing (37), (43), and (44), we can get Considering (44) and (45), we can getNow, we choose the fractional power series method to solve (46).

We assume that the solution of (46) can be expressed as a fractional power series in , as given below:where , , are unknown constants to be determined later.

In order to simplify the exposition of the local power series method to solve (46), we first integrate (46) with respect to and use the initial condition (37) to getThen, substituting (47) into (48), we can easily getThis yieldsUsing the initial condition and equating the coefficients of corresponding powers of to zero in (50), we have Using the above recursion, the first few components of are given byAccording to (5), the final solution is thus entirely determined bySimilarly, we can also get By virtue of (43), (53), and (54), the final solution of (36) is readily found to be

*Example 4. *The fractional delay integral-differential equation system is written in the following form:subject to the boundary and initial conditions described byAccording to (8), (9), and (56), we can getEquating the coefficient of like on both sides of equation in (58), respectively, the following equation system is obtained:Analyzing (57) and (59), we impose the following assumptions on (59): Because of (59), we can getNow we choose the fractional power series method to solve (61).

In order to simplify the power series method to solve (61), we first rearrange the two equations in (61) and then integrate them twice with respect to , respectively. Using the initial condition (57), we can getthat is,We assume that the solution , can be expressed as a fractional power series in , respectively, as given below:where , , , are unknown constants to be determined later.

Then, substituting (64) into (63), we haveThis yieldsAccording to (66), we can getEquating the coefficients of corresponding powers of to zero in (67), we haveFrom above recursion, first few components of , are given byAccording to (5), the final solution , is thus entirely determined byBy virtue of (60) and (70), the final solution of (56) is readily found to be

#### 5. Conclusion

In this paper, we have presented and implemented the local fractional Fourier series method to solve the nonlinear equations problems. It is a straightforward and convenient algorithm for deriving particular solution of some nonlinear fractional integral-differential or differential equations with the boundary problem. However, as other methods, this method has its own deficiency; for example, there is some difficulty in calculating the local fractional Fourier series of the nonlinear part of the equation, which may narrow down its applications.

#### Conflict of Interests

The authors declare that they have no conflict of interests regarding this paper.

#### Acknowledgments

This work is supported by the Foundation and Advanced Technology Research Program of Henan province (142300410385, 142300410384, 132300410211, and 132300410440) and the Nanyang Normal University (NYNU2005k37). The authors would like to thank the editor and the reviewers for their constructive comments and suggestions to improve the quality of the paper.

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