The Scientific World Journal

Volume 2015, Article ID 153124, 8 pages

http://dx.doi.org/10.1155/2015/153124

## New Iterative Method for Fractional Gas Dynamics and Coupled Burger’s Equations

Department of Mathematics, Faculty of Science, Kirkuk University, Kirkuk, Iraq

Received 9 October 2014; Accepted 1 March 2015

Academic Editor: Abdollah Borhanifar

Copyright © 2015 Mohamed S. Al-luhaibi. 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

This paper presents the approximate analytical solutions to solve the nonlinear gas dynamics and coupled Burger’s equations with fractional time derivative. By using initial values, the explicit solutions of the equations are solved by using a reliable algorithm. Numerical results show that the new iterative method is easy to implement and accurate when applied to time-fractional partial differential equations.

#### 1. Introduction

Fractional calculus is a field of applied mathematics that deals with derivatives and integrals of arbitrary orders. During the last decade, fractional calculus has found applications in numerous seemingly diverse fields of science and engineering. Fractional differential equations are increasingly used to model problems in fluid mechanics, acoustics, biology, electromagnetism, diffusion, signal processing, and many other physical processes [1–15].

There exists a wide class of literature dealing with problems of approximate solutionsto fractional differential equations with various different methodologies, called perturbation methods. The perturbation methods have some limitations; for example, the approximate solution involves series or small parameters which pose difficulty since the majority of nonlinear problems have no small parameters at all. Although appropriate choices of small parameters sometimes lead to ideal solution, in most of the cases, unsuitable choices lead to serious effects in the solutions. Therefore, an analytical method is welcome which does not require a small parameter in the equation modeling the phenomenon. Also, that analytical method is welcome in which there is no need to calculate Adomian polynomials which require so much computational time for higher-order approximations, to calculate Lagrange multiplier value which requires the variational theory to calculate it or equating the terms of like powers of the embedding parameter* p* [16–18].

In this paper we use the new iterative method to solve the nonlinear gas dynamics and coupled Burger’s equations with fractional time derivative; this method was proposed first by Daftardar-Gejji and Jafari [19] and has proven useful for solving a variety of nonlinear equations.

#### 2. Preliminaries and Notations

In this section, we mention the following basic definitions of fractional calculus which are used further in the present work.

*Definition 1. *The Riemann-Liouville fractional integral operator of order , of a function and , is defined as [1]For the Riemann-Liouville fractional integral, we have

*Definition 2. *The fractional derivative of in the Caputo sense is defined as [5]From properties of , it is important to note thatFor the Riemann-Liouville fractional integral and Caputo fractional derivative, we have the following relation:

#### 3. Basic Idea of New Iterative Method

To describe the idea of the NIM, consider the following general functional equation [19–22]:where is a nonlinear operator from a Banach space and is a known function. We are looking for a solution of (6) having the series formThe nonlinear operator can be decomposed as follows:From (7) and (8), (6) is equivalent toWe define the recurrence relation: ThenIf is a contraction, that is,thenand the series absolutely and uniformly converges to a solution of (6) [23], which is unique, in view of the Banach fixed point theorem [24]. The -term approximate solution of (6) is given by .

##### 3.1. Reliable Algorithm of New Iterative Method for Solving the Linear and Nonlinear Partial Differential Equations

After the above presentation of the NIM, we introduce a reliable algorithm for solving nonlinear PDEs using the NIM. Consider the following nonlinear PDE of arbitrary order: with the initial conditionswhere is a nonlinear function of and (partial derivatives of with respect to and ) and is the source function. In view of the integral operators, the initial value problem (14a) and (14b) is equivalent to the following integral equation:wherewhere is an integral operator of fold. We get the solution of (15) by employing the algorithms (10a), (10b), and (10c).

#### 4. Applications

*Example 1. *Consider the following nonlinear time-fractional gas dynamics equation: with the initial conditionFrom (10a) and (16), we obtainTherefore, from (15), the initial value problem (18a) and (18b) is equivalent to the following integral equation:Therefore, from (10a), (10b), and (10c), we can obtain easily the following first few components of the new iterative solution for (18a) and (18b):and so on. The -order term approximate solution, in series form, is given byIn the special case, , (22) becomesIn closed form, this giveswhich is the exact solution for (18a) and (18b) in the special case . The 5-order term approximate solution and the corresponding exact solution for (18a) and (18b) are plotted in Figure 1(a), for ; in Figure 1(b), for ; in Figure 1(c), for , and in Figure 1(d) the exact solution. It is remarkable to note that the surface of the approximate solution converges to the surface of the exact solution as . It is evident that the efficiency of the NIM can be dramatically enhanced by computing further terms of .