Applied Mathematics
Vol.05 No.17(2014), Article ID:50465,6 pages
10.4236/am.2014.517258
Traveling Wavefronts of a Diffusive Hematopoiesis Model with Time Delay
Zhi Ling*, Linling Zhu
School of Mathematical Science, Yangzhou University, Yangzhou, China
Email: *zhling@yzu.edu.cn, 819351352@qq.com
Copyright © 2014 by authors and Scientific Research Publishing Inc.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/



Received 16 July 2014; revised 8 August 2014; accepted 1 September 2014
ABSTRACT
In this paper, a reaction-diffusion equation with discrete time delay that describes the dynamics of the blood cell production is analyzed. The existence of the traveling wave front solutions is demonstrated using the technique of upper and lower solutions and the associated monotone iteration.
Keywords:
Traveling Wavefronts, Hematopoiesis Model, Time Delay

1. Introduction
It is well know that the traveling wave theory was initiated in 1937 by Kolmogorov, Petrovskii, Piskunov [1] and Fisher [2] . Now, the theory of traveling wave solutions to reaction-diffusion equations is one of the fast developing areas of modern mathematics and has attracted much attention due to its significance in biology, chemistry, epidemiology and physics, see [3] [4] and the reference cited therein. In recent years, the traveling wave problem for reaction-diffusion systems with delay has been widely studied. For example, Gomez and Trofimchuk [5] considered the Fisher-KPP equation and their results showed that each monotone traveling wave could be found via an iteration procedure by using the special montone integral operators. Schaaf [6] systematically studied two scalar reaction-diffusion equations with a single discrete delay by using the phase plane technique, the maximum principle for parabolic functional differential equations and the general theory of ordinary differential equations. The degree theory has been adopted in [7] [8] .
In this paper we consider the following reaction-diffusion equation with a discrete time delay:
(1.1)
When
is independent on the spatial variable
, the above equation reduces to the following ordinary differential equation
(1.2)
which was first proposed by Mackey and Glass [9] to describe the dynamics of blood cell production. Here,
denotes the density of mature stem cells in blood circulation and
is the time delay between the production of immature stem cells in bone marrow and their maturation for release in the circulating blood stream;
and
are positive constants that represent some specific meanings in blood circula-
tion. For instance,
is the lost rate of the cells from the circulation. The term
shows that the
flux of the cells into the circulation from the stem cell compartment depends on the number of cells
at time
. For more details about Hematopoiesis model, we refer the readers to the articles of Mackey [9] -[11] and the references given in them.
Equation (1.2) has been studied by many authors such as in [12] -[14] . Weng and Dai [13] proved that the positive equilibrium to Equation (1.2) could be a global attractor under some conditions. Wu, Li and Zhou [14] derived a sufficient and necessary condition that guarantees the existence of positive periodic solutions of Equation (1.2) with periodic coefficients.
Equation (1.2) can be generalized as the following functional differential equation
(1.3)
Wang [15] investigated the generalized equation with Neumann boundary condition and obtained the oscillatory behavior of solutions about the positive equilibrium of (1.3). Further, they derived the sufficient and necessary conditions for global attractivity of the zero solution. In addition, global attractivity of the positive equilibrium of (1.3) was investigated by Gopalsamy and Kulenvic [16] . Cheng and Zhang [17] and Jiang et al. [18] (
-dimentional case) instead investigated the existence of positive periodic solutions of Equation (1.3) by using the Krasnosel skii fixed point theorem.
The aim of this paper is to consider the existence of traveling wave front solutions for (1.1) in the case of one dimensional space.
This paper is outlined as follows. The next section, we will introduce the technique of upper and lower solutions developed by Wu and Zou [19] . The conditions for establishing the positive equilibria and obtaining the existence of traveling waves are derived in Section 2.
To investigate the existence of traveling wave fronts of (1.1), we describe briefly the technique of upper and lower solutions developed by Wu and Zhou [19] .
Consider a scalar reaction-diffusion equation with time delay:
(1.4)
where
, and 




Looking for traveling wave solutions of the form 

where 
Now we assume that
A1. There exists 






A2. There exists 
for 

If for some



then 

Define a profile set for traveling wave fronts of (1.1) by
The upper and lower solution for (2.1) are defined as follows:
Definition 1 The piecewise smooth functions 



and 
Now we are in the position to state a scalar version of [19] (Theorem 3.6).
Theorem 1 If the conditions (A1) and (A2) hold, suppose that (1.5) has an upper solution 






2. Existence of Traveling Wave Fronts
Assume that
We will tackle the existence of solutions of (3.1) with the asymptotic boundary condition
which corresponds to the traveling wave fronts of (1.2) connecting 

Substituting 



Define the function
Lemma 1 If






Next we show that 
Lemma 2 If


Take
for all 


Proof 1 Consider the function
If
since
It demonstrates that the function 

and then
Therefore, if choosing

This completes the proof.
Remark 1 If



is hold.
Define the profile set
Next we will discuss the existence problem by using the method of upper and lower solutions that are defined as follows:
Definition 2 The piecewise smooth functions 



and 
Define

then we have the following lemmas.
Lemma 3 There exists 



Since the proof of this lemma is similar to that of Claim 2.3 of [19] , we omit it. Next we first construct the upper solution of (3.1).
Lemma 4 Assume


Proof 2 It is easy to verify that

Let 

i) For




ii) For


According to the discussion above, we know that 
We now give the lower solution to (1.5). Let 





Lemma 5 For

Proof 3 Let


i) For


ii) For
It is easy to check that

Note that
Since

If we choose
then

It is clear that
Theorem 2 If





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NOTES
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