Advances in Mathematical Physics

Volume 2014 (2014), Article ID 487840, 8 pages

http://dx.doi.org/10.1155/2014/487840

Research Article

Approximate Solutions for Local Fractional Linear Transport Equations Arising in Fractal Porous Media

Meng Li,¹ Xiao-Feng Hui,¹ Carlo Cattani,² Xiao-Jun Yang,³ and Yang Zhao4,5

¹School of Management, Harbin Institute of Technology, Harbin 150001, China

²Department of Mathematics, University of Salerno, Via Ponte don Melillo, Fisciano, 84084 Salerno, Italy

³Department of Mathematics and Mechanics, China University of Mining and Technology, Xuzhou, Jiangsu 221008, China

⁴Electronic and Information Technology Department, Jiangmen Polytechnic, Jiangmen 529090, China

⁵College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130061, China

Received 2 March 2014; Accepted 25 March 2014; Published 14 April 2014

Academic Editor: Gongnan Xie

Copyright © 2014 Meng Li et al. 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 investigate the local fractional linear transport equations arising in fractal porous media by using the local fractional variational iteration method. Their approximate solutions within the nondifferentiable functions are obtained and their graphs are also shown.

1. Introduction

Transport equations [1–3] had successful applications in aeronomy [4], semiconductors [5], superconductor [6], turbulence [7], QCD [8], plasma [9], gas mixture [10], and biology [11]. The linear transport equation was written as follows [12]:

subject to the initial condition

where is a continuous function (differentiable function).

With the development of the transport theory in porous media [13], the disordered materials, which show fractal characteristics [14], had been investigated [15–17]. Recently, during anomalous transport [18] and evidence of its existence in point vortex flow [19], fractional theory of transport was developed by many researchers. Zaslavsky [20] and Tarasov [21] investigated the anomalous transport of fractional dynamics. Lutz presented the transport equations for Lévy stable processes with fractional derivative [22]. Uchaikin and Sibatov considered the applications in disordered semiconductors [23]. Metzler and Klafter reported developments in the description of anomalous transport based upon fractional derivative [24]. Kadem et al. studied the solutions for the fractional transport equation by using the spectral method [25].

The above results via fractional calculus are set upon the differentiable functions. However, there are many nondifferentiable functions, which do not deal with the classical and fractional calculus. More recently, the local fractional calculus developed in [26–36] was the best candidate for scientists to deal with the nondifferentiable functions. In this paper, we consider the local fractional linear transport equations arising in fractal porous media in one-dimensional case [28]:

subject to the initial condition

where the velocity term and the quantity may be nondifferentiable functions. The purpose of the current paper is to find the nondifferentiable solutions for the local fractional linear transport equations arising in fractal porous media in one-dimensional case by using the local fractional variational iteration method [31–36]. The plan of the paper is as follows. In Section 2, the conceptions of local fractional derivatives and local fractional integrals are given. In Section 3, the idea of local fractional variational iteration method is presented. In Section 4, the nondifferentiable behaviors for solutions of local fractional linear transport equations are studied. In Section 5, the conclusions are given.

2. On the Local Fractional Calculus

In this section, we introduce the definitions of local fractional derivatives and integrals which are used in the paper.

We set the function [26, 27]

where

with , for , and .

Definition 1. Let . We define the local fractional derivative of of order by [26–36]

where

Definition 2. Let . We define the local fractional integral of of order in the interval by [26, 27, 29–36]

where the partitions of the interval are denoted as , , and with and .

From (8) and (9), there are some properties in the following form [26, 27, 31–35]:

where

3. The Local Fractional Variational Iteration Method

In this section, the local fractional variational iteration method first proposed in [31] is applied to deal with the local fractional linear differential equations of order .

Let us consider the following local fractional operator equation:

where the linear local fractional differential operator is defined as , a nonlinear local fractional operator .

From (12), a correction local fractional functional can be structured as

where denotes a fractal Lagrange multiplier; that is, [26].

Making use of (18), the new iteration formula reads as

which leads to

where denotes a restricted local fractional variation; that is, [26].

Therefore, from (15) the fractal Lagrange multiplier can be identified as

Submitting (17) into (13), we have that

Consequently, the nondifferentiable solution can be written as

For more results, see [31–36].

4. Approximate Solutions

Example 3. Consider sample local fractional linear transport equations arising in fractal porous media in the form

with the initial condition

From (17) we derive the following iterative formula:

where the initial value condition is

From (21) the first approximate term reads as

In a like manner, the second approximate term is

The third approximate term can be written as

Continuing to calculate them in this manner, for , we have that

Hence, we obtain the nondifferentiable solution given by

and its graph is shown in Figure 1.

Figure 1: The plot of solution of (19) when .

Example 4. The sample local fractional linear transport equations arising in fractal porous media take the form

subject to the initial condition

In view of (17) we structure the following iterative formula:

where the initial value condition is expressed by

In view of (31), we give the first approximation given by

Similarly, we obtain that

and so on.

Hence, the nondifferentiable solution is given by

together with the graph shown in Figure 2.

Figure 2: The plot of solution of (28) when .

Example 5. We now focus on the following local fractional linear transport equations arising in fractal porous media:

subject to the initial condition

In view of (17) the following iterative formula is given by

where the initial value condition is expressed by

Using (37) gives the approximate terms

and so on.

Therefore, the nondifferentiable solution of (35) can be written as

and its graph is given in Figure 3.

Figure 3: The plot of solution of (35) when .

Example 6. We discuss the following local fractional linear transport equations arising in fractal porous media:

subject to the initial condition

From (17) the following iterative formula can be written as

where the initial value condition is given by

Making use of (43), we obtain the approximate terms

and so on.

Therefore, the nondifferentiable solution of (41) reads as

and its graph is given in Figure 4.

Figure 4: The plot of solution of (41) when .

5. Conclusions

Local fractional calculus theory is a tool for modeling the nondifferentiable problems for science and engineering. In this work we studied the local fractional linear transport equations arising in fractal porous media by using the local fractional variational iteration method. The solutions with nondifferentiable functions were also obtained and some examples were also discussed. These results show the reliabilities and efficiencies of the proposed local fractional variational iteration method.

Conflict of Interests

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

Acknowledgments

The work was supported by the National Natural Science Foundation of China under Grant no. 71173060. It was also supported by the China Postdoctoral Science Foundation under Grant no. 2013M541351.

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