Abstract
The traveling wave solution of a hyperbolic model for chemotaxis in one space dimension is studied in this paper. By using some transformations of dependent variables and independent variables, we apply the tanh method and improved tanh method to the model, from which some traveling wave solutions in explicit form are presented.
1. Introduction
Chemotaxis is a widespread phenomenon in biological systems describing the response of individuals to an external chemical together with its gradient. It has attracted significant interest due to its critical role in a wide range of biological phenomena. Chemotaxis was studied mathematically beginning with the early papers of Patlak [1] and Keller and Segel [2, 3]. Since then the mathematical literature on the modeling of chemotaxis has grown rapidly. The parabolic Keller-Segel model of chemotaxis [2] has proved a cornerstone for much of this work. For a review of the recent literature, see Hillen and Painter [4]. However, the parabolic Keller-Segel model allows arbitrarily large speed of the population, it is physically unrealistic for small time. Motivated by the fact, Hillen and Stevens [5] proposed a hyperbolic model for chemotaxis in 1-D, which deal with finite speed. The model is where denotes the particle densities of right (+)/left (−) moving particles, denotes the particle speed, and are turning rates (rates of change of direction from + to − and vice versa). denotes the concentration of the chemical external signal. The production and degradation of the external chemical signal is modeled by the reaction term .
For the special case with , constant speed and depending only on and , Segel in [9] first used it to analyze a very specific scenario. Later Rivero et al. [6] and Ford et al. [7, 8] used it to describe experimental data. In the works [5–9], the issues of local and global in time existence of solutions were considered theoretically and numerically. Hillen and Levine [10] studied finite time blowup of the system (1.2) with and three specific forms of turning rates, one of which is
Keller and Segel in 1971 [11] considered an experimental setup that results in visible bands of bacteria traveling up a capillary tube filled with a mixture of oxygen and nutrient rich substrate. It raised the question of existence of a traveling wave solution to the Keller-Segel model of chemotaxis. Liu in 2008 [12] constructed some explicit solutions of the system (1.2) with the choice of and as in (1.3) and (1.4).
In this paper, we try to find some exact traveling wave solutions of the system where are constants, and are defined above (1.3) and (1.4). It is clear that system (1.5) is a special case of the system (1.1) and a more generalized case of (1.2).
The system (1.5) can be transformed into an equivalent system for the total particle density, , and particle flux, . The resulting system for is (3.1) below. Using tanh method and improved tanh method, we search for traveling wave solutions of the system (3.1). When , three different kinds of traveling wave solutions are found. To the best of our knowledge, those traveling wave solutions are new and have not appeared in literature. When , the solutions obtained here are different from those known ones in [12].
2. The Two Methods
The tanh method and improved tanh method are powerful techniques to search for traveling wave solutions arising from one dimensional nonlinear wave and evolution equations. Let us first review the main features of two methods. They will be used in this paper. For more details, see [13–17] and reference therein.
For both methods, we first use the wave variable to carry a PDE in two independent variables into an ODE where and are the wave number and the wave speed, respectively.
2.1. The tanh Method
In the standard tanh method, the tanh is used as a new variable and the solution of (2.2) is expressed as a finite series of tanh where is a positive integer that will be determined. Substituting (2.3) into the reduced ODE (2.2) results in an algebraic equation in powers of . To determine the parameter , we usually balance the linear terms of highest order in the resulting equation with the highest order nonlinear terms. With determined, we collect all coefficients of powers of in the resulting equation where these coefficients have to vanish. This will give a system of algebraic equations involving the parameters , and . Having determined these parameters, we obtain an analytic solution in a closed form.
The tanh method is a computerizable method, in which generating an algebraic system and solving it are two key procedures and laborious to do by hand. But they can be implemented on a computer with the help of computer algebra software such as Mathematica.
2.2. The Improved tanh Method
The crucial point of the improved tanh method is to replace the in (2.3) by the solution of Riccati equation where , and , , are some constants.
Supposing that is a solution of (2.4), it is easy to verify(1)if , (2.4) possesses a solution (2)if , (2.4) possesses a solution (3)if , (2.4) possesses a solution
Based on (2.5), the solution of (2.2) can be expressed as in (2.3), and based on (2.6) and (2.7), the solution of (2.2) can be expressed as where parameters , and are to be determined.
3. Traveling Wave Solutions
A transformation of the dependent variables is necessary, before the just-described methods can be applied to the hyperbolic model (1.5). As in [10], we rewrite system (1.5) as a system for and : Eliminating in system (3.1), it is clear that (3.1) is of the form Taking into account the transformation where , and is an arbitrary constant, the (3.2) can be put into the format where .
3.1. Using tanh Method
Let It is noted that as a result, we guess the has the form
Substituting and into (3.4)-(3.5), we obtain , and the solutions of system (3.4)-(3.5) is of the form With the help of the symbolic software Mathematica, substituting (3.9) into (3.4) and (3.5)and setting the coefficients of to be zero, we obtain If and satisfies solving the algebraic equations (3.10) with the aid of Mathematica, we arrive at which leads to the solutions of system (3.1) If , we found , and Consequently, we obtain the following solutions of system (3.1) which is different from the solutions obtained in [12].
3.2. Using Improved tanh Method
Case 1. We seek solutions in the form of (2.8) . Motivated by the expression of (3.5), we turn to the assumption and also imply that . Therefore, we have
By substituting (3.16) into (3.4) and (3.5), and setting the coefficients of to be zero, we set
If and
solving algebraic equations (3.17) gives
where is specified by (3.18).
This in turn gives the solutions of system (3.1)
where is an arbitrary constant and , are given in (3.19).
Case 2. We seek solutions in the form of (2.9). Let and . Substituting into (3.4) and (3.5), balancing the linear terms of highest order with the highest order nonlinear terms, directly results in and To progress further substituting (3.21) into (3.4) and (3.5) and setting the coefficients of in the resulting equations to be zero, we obtain a set of algebraic equations If and satisfies we know where is given by (3.23). To this end, we therefore derive the solutions of system (3.1) as follows: where and and are given by (3.24)–(3.29), respectively.
4. Conclusion
In the present paper, we have considered the exact traveling wave solutions of a one-space dimensional hyperbolic model for chemotaxis (1.5). Using a transformation of dependent variables and eliminating the dependent variable in the resultant system (3.1), the system (1.5) is reduced to a couple system of two equations (3.2). Applying the transformation (3.3) to unite the independent variables and , the (3.2) is convert to a coupled ordinary differential system. Then, the tanh method and improved tanh method are used, with the help of symbolic software MATHMATICA, to search for exact traveling wave solutions of system (3.1). Finally, three kinds of traveling wave solutions including soliton, rational, and triangular solutions are found, all of which are different from those known ones in the literature.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (Grant no. 11001050). The authors gratefully acknowledge valuable discussions with Professor J. B. Chen. Also, the authors thank the three anonymous editors whose suggestions helped improve the paper.