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`Abstract and Applied AnalysisVolume 2014 (2014), Article ID 309420, 4 pageshttp://dx.doi.org/10.1155/2014/309420`
Research Article

## Application of the Homotopy Analysis Method for Solving the Variable Coefficient KdV-Burgers Equation

Faculty of Science, Jiangsu University, Zhenjiang, Jiangsu 212013, China

Received 22 January 2014; Accepted 21 February 2014; Published 27 March 2014

Copyright © 2014 Dianchen Lu and Jie Liu. 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

The homotopy analysis method is applied to solve the variable coefficient KdV-Burgers equation. With the aid of generalized elliptic method and Fourier’s transform method, the approximate solutions of double periodic form are obtained. These solutions may be degenerated into the approximate solutions of hyperbolic function form and the approximate solutions of trigonometric function form in the limit cases. The results indicate that this method is efficient for the nonlinear models with the dissipative terms and variable coefficients.

#### 1. Introduction

To solve the nonlinear partial differential equation (NPDE) has been an attractive research topic for mathematicians and physicists. Nonlinear evolution equations with variable coefficients can describe the physical phenomenon more accurately, and it is of great significance to study how to find the solutions of nonlinear evolution equations with variable coefficients. The nonlinear partial differential equations are generally difficult to solve and their exact solutions are difficult to obtain. In recent years, some various approximate methods have been developed such as homotopy analysis method [113] and Adomian’s decomposition method [1417] to solve linear and nonlinear differential equations. However, the above works only studied the solutions of equations with constant coefficients. In this work, we apply the homotopy analysis method to the variable coefficients KdV-Burgers equations and obtain the approximate solution of the Jacobi elliptic function form. This method has the merits of simplicity and easy execution.

This paper is arranged in the following manner. In Section 2, we present the homotopy analysis method. In Section 3, the homotopy analysis method on the variable coefficient KdV-Burgers equation is presented. Finally, some conclusions are given.

#### 2. Basic Idea of Homotopy Analysis Method

To explain the basic idea of the homotopy analysis method, we consider the following nonlinear differential equation: subject to boundary condition where is the general differential operator, is the boundary operator, is the known analytic function, and is the boundary of the region .

Generally speaking, the operator can be decomposed into linear part and nonlinear part . Equation (2) therefore can be written as Now we set up homotopy mapping , which satisfies where is parameter, is auxiliary function, and .

By (4), we obtain

As can be seen from 0 to 1 of is the process of to of ; this is the homotopy deformation.

Assume that the solution of can be written as a power series in : So when , is the solution of ; when , the approximate solution of is .

#### 3. Application

In this section, we focus on the variable coefficient KdV-Burgers equation where and are any function about .

It is fascinating to observe that, when and are constant, (7) becomes the well-known KdV-Burgers equation; the equation plays an important role in studying liquid with bubbles inside, the flow of liquid in elastic tubes, and the problems of turbulence [1820]. When is constant, , (7) becomes the well-known Burgers equation. When is constant, , (7) becomes the well-known KdV equation. When is constant, (7) becomes

Next, we applied the homotopy analysis method to study the approximate solution of (8).

In order to get the solution of (8), we lead in homotopy mapping.

To aim at (8), we set up homotopy mapping , where , , is the auxiliary function, and the linear operator is expressed as .

By using the generalized elliptic method [21], we can get that the typical KdV equation corresponding to (8), has the following elliptic function solution:

When , degenerates to the following solitary wave solution:

When , degenerates to the trigonometric function solution where ,, , and are any constant, is the module, and .

One can easily prove that and (8) is the same, so the solution of (8) is the solution of when under the condition .

Let be the solution of ; by [22] we can know that this series is uniformly convergent in the . Thus, it yields that

In order to obtain the approximate solution of (8), we substitute (14) into the equation . By taking the auxiliary function , and comparing the coefficients of the same power of , one can obtain that

From (16) we have

By using the Fourier transform, one can obtain the solution of (17) with the initial condition as follows: Similarly, one also finds the solution of (18) with the initial condition as From (11), (12), (13), (20), and (21) the two-degree approximate solution of (8) can be obtained as follows:

where , , , and are any constant, is the module, and . Consider When and , degenerates to the following approximate solutions:

By comparing the higher power coefficients of , more higher power approximate solutions of (8) can also be obtained.

#### 4. Conclusion

This work studies the variable coefficients KdV-Burgers equations by using the homotopy analysis method, and the two-degree approximate solution of the Jacobi elliptic function form is obtained, which can degenerate to solitary wave approximate solution and trigonometric function approximate solution in the limit case. Our results show that the homotopy analysis method is applicable to the variable solution equations; how to apply this method to high-degree and high-dimensional system remains to be further studied.

#### Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

#### Acknowledgments

This work was supported by the National Nature Science Foundation of China (no. 61070231), the Outstanding Personal Program in Six Fields of Jiangsu Province, China (Grant no. 2009188), and the Graduate Student Innovation Project of Jiangsu Province (Grant no. CXLX13_673).

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