Abstract and Applied Analysis

Volume 2014 (2014), Article ID 686274, 8 pages

http://dx.doi.org/10.1155/2014/686274

Research Article

Hopf Bifurcation Analysis in a Modified Price Differential Equation Model with Two Delays

Yanhui Zhai, Ying Xiong, and Xiaona Ma

School of Science, Tianjin Polytechnic University, Tianjin 300387, China

Received 14 November 2013; Accepted 13 January 2014; Published 3 March 2014

Academic Editor: Weiming Wang

Copyright © 2014 Yanhui Zhai 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.

The paper investigates the behavior of price differential equation model based on economic theory with two delays. The primary aim of this thesis is to provide a research method to explore the undeveloped areas of the price model with two delays. Firstly, we modify the traditional price model by considering demand function as a downward opening quadratic function, and supply and demand functions both depending on the price of the past and the present. Then the price model with two delays is established. Secondly, by considering the price model with one delay, we get the stable interval. Regarding another delay as a parameter, we studied the linear stability and local Hopf bifurcation. In addition, we pay attention to the direction and stability of the bifurcating periodic solutions which are derived by using the normal form theory and center manifold method. Afterwards, the study turns to simulate the results through numerical analysis, which shows that the provided method is valid.

1. Introduction

Recent developments in mathematical economics and in problems of business administration have led to extensive use of differential equation model. Bifurcations and chaos always show in the contemporary literature of economics as basic concepts. The paper of Shuhe [1] was the pioneering work in studying price differential equation model which provides a dynamic system to investigate sectoral dynamics of an economy phenomenon. Since demand depends on the past price, further study on price model with delay can be found in [2]. Reference [3] focused on the phenomenon of bifurcation which forms an integral part of qualitative approach to study dynamical systems. Similarly, [4–6], which investigated the local Hopf bifurcation and the existence of periodic solutions of price model, had important consequences for theoretical and empirical model building in economics. Reference [7] provided a brief survey of the literature of bifurcation detections in economic models. The existence of different bifurcate parameters leads to chaos and the causes of complicated phenomenon were argued in [8]. In short, few people studied price model with delay; what is more, no results involving price model with two delays have occurred.

In order to illustrate the economic phenomena with price varying accurately, a reasonable mathematical model of price is needed. Thus, we introduce a traditional price differential equation model in [1]:

The meaning of parameters refers to [1]. We modify the traditional price differential equation model by considering the following factors.

Firstly, we denote the correlation coefficient between demand and price rising rate by . We consider demand function as a downward opening quadratic function and supply function as a linear function:

Secondly, according to the cobweb theory, since manufacturers need a production cycle time from obtaining market information to adjust the production line, the role of price adjustment lags on the supply function of time. The purchase of the consumers also depends on the price change and decision whether to buy or not. Then, supply and demand functions both depend on the price of the past and the present. We introduce two delays , to denote supply and demand functions, which depend on the price of the past, respectively. A differential system with two delays for price differential equation model is transformed into the following form:

Let , , and notice that supply and demand functions both depend on the price of the past and the present; then the model is described by the following autonomous system:

where , refers to [2]. is the price at time , and is the amount of supply at time ; , , , , , .

Different from the previous work in [1, 2, 4], the purpose of this paper is to investigate the stability of the Hopf bifurcation and the direction of bifurcation periodic solution of a price differential equation model with two delays. The structure of the paper is as follows. In Section 2, linear stability and local Hopf bifurcations are studied by using qualitative methods. In Section 3, we regard as bifurcation parameter and consider (4) with in its stable interval; the direction of Hopf bifurcation and the stability of the bifurcation periodic solutions are derived by using the normal form theory and center manifold method. Afterwards, the presented numerical simulations in Section 4 have demonstrated the theoretical analysis.

2. Local Stability and Hopf Bifurcation

Obviously, system (4) always has an equilibrium . In the following, we will investigate the effect of the delay , on the dynamics of system (4).

Let , ; the linearization of system (4) at zero steady state is

For convenience, as in literature of [5], we denote , , . Then (5) become

The corresponding characteristic equation is

To study the stability of equilibrium of (4) and Hopf bifurcation, it is sufficient to analyze the distribution of the roots of (7). It is stable if all roots of (7) have negative real parts and unstable if one root has positive real part. In order to study the characteristic (7) with two delays, we first consider (7) with one delay. Without loss of generality, we choose as a parameter and employ Rouche's theorem in Cooke and Grossman [9]; we will find the stable interval for . Then we consider (7) with in its stable intervals. Using Rouche's theorem again, regard as a parameter; we will find the stable interval (depends on ) for . Then we obtain the stable interval for system (4).

Now we analyse the case when ; (7) becomes

Using a procedure similar to [10], we make some hypotheses as follows:

(H1),(H2),(H3),(H4), , and ,(H5)neither (H3) nor (H4).

Obviously, when , (4) becomes a system of ODE. Under the hypothesis (H1), all roots of (7) have negative real parts if and only if ; under the hypothesis (H2), all roots of (8) have negative real parts if and only if and . Above all, either (H1) or (H2) holds for , and all roots of (7) have negative real parts.

Applying the lemma in [9] again, we obtain the following results.

Lemma 1. For (8), one has the following:

(i)if (H3) holds and , then (8) has a pair of purely imaginary roots ;(ii)if (H4) holds and then (8) has a pair of imaginary roots of ;(iii)if (H5) holds and , then (8) has no purely imaginary root, where

Proof. Let be the root of (8); we thus have

Separating the real and imaginary parts

Eliminating the harmonic terms gives

Obviously

From (12) and by direct computation, we obtain , , . The result is straightforward.

Denote the minimum value of by ; that is, , and

To see if and are bifurcation values, we need to verify if the transversality conditions hold.

Lemma 2. The following transversality conditions

hold.

Proof. Differentiating (8) with respect to yields

then we have

which satisfied and ; then for , , and for , . We complete the proof.

Thus, we get the distribution of the characteristic roots of (8).

Lemma 3. For (8), one has the following:

(i)if (H3) and either (1) (H1) or (2) (H2) and hold, then when , all roots of (8) have negative real parts, and when , (8) has at least one root with positive real part;(ii)if (H4) and either (H1) or (H2) hold, then there are k switches from stability to instability; that is, when , , all roots of (8) have negative real parts, where , and , , and (8) has at least one root with positive real part.

That is to say, under those conditions when , , system (4) is asymptotically stable, and system (4) undergoes a Hopf bifurcation when .

Then, we consider stable interval for in which all roots of (8) have negative real parts, regarding as a parameter.

Lemma 4. If all roots of (8) have negative real parts, then there exists a , such that when all roots of (7) have negative real parts.

Proof. All roots of (8) have negative real parts which means that system (4) is stable when . In what follows, we consider (4) with fixed in its stable interval, regarding as a parameter. Let be a root of (4); then we obtain

Suppose that . Since and , then (19) has at least one positive root. Without loss of generality, the roots of (19) are defined by . For every , there exists a sequence , such that (19) holds. The expression of and can be derived by (19) for fixed ; we will calculate them directly by the use of Mathematica software in Section 4; here we omit them. Let and let be the positive and simple root of (19) when . When , (19) has a pair of purely imaginary roots for . Then, as varies, the sum of the multiplicities of zeros in the open right half-plane can change only if a zero appears on or crosses the imaginary axis. In what follows, we assume that (H6) . Therefore, by the general Hopf bifurcation theorem for FDEs in Wei and Ruan [10], we get that when all roots of (7) have negative real parts.

Applying the discussion above and noticing that all roots of (8) have negative real parts, we know that there exist such that all roots of (7) with have negative real parts. The proof is complete.

Summarizing the above lemmas and literature of Hale [11], we obtain the following sufficient conditions for all characteristic roots of (8) to have negative real parts.

Theorem 5. Suppose that (H6) holds and either (H1) or (H2) is satisfied.

(i)If (H3) holds, then for any there exists a such that when , all roots of (7) have negative real parts.(ii)If (H4) holds, then for any there exists a , such that when all roots of (7) have negative real parts, where and are defined by (10).(iii)If (H5) holds, then for any , there exists a , such that when all roots of (7) have negative real parts.

That is to say, under the conditions that is stable interval, there exist a (depend on ) such that when , system (4) is asymptotically stable, and system (4) undergoes a Hopf bifurcation when , ; .

3. Direction and Stability of the Bifurcating Periodic Solutions

In the previous section, we obtain the conditions under which a family of periodic solutions bifurcate from the steady state and the equilibrium loses its stability when , ; for fixed , and the relationship between and can be derived by (19). Throughout this section, by using techniques of the normal form and center manifold theory due to Hale [11], we derive the algorithm for determining the direction of the Hopf bifurcations and the stability of the bifurcating periodic solutions at critical values on the center manifold.

Since the analysis is local, we regard ,   as bifurcation parameter. Choosing the space as and for , system (3) is transformed into FDE as

with

where , , and . Obviously, is continuous linear function mapping into . By the Riesz representation theorem, there exists a matrix whose elements are bounded variation functions in such that

In fact, we choose

where is a delta function.

For the operators and are defined as

Let ; the adjoint operator corresponding to is defined as follows:

Then system (20) can be written in the following form: , where for .

For and , define the adjoint bilinear:

where .

Proposition 6. Let and be eigenvectors of and corresponding to and , respectively, satisfying and . Then

where

Proof. We assume that is the eigenvector of corresponding to and is the eigenvector of corresponding to . It follows from the definition of , , (22), and (23) that we have and ; we have

where is identity matrix; that is,

By direct computation and considering , , we obtain and . Now, we calculate as follows:

Since , we get

Therefore, . This completes the proof.

Then, we construct the coordinates of the center manifold at . Let

On the center manifold , we have

where

and and are local coordinates for the center manifold in the direction of and , respectively. Since , we have

where

We rewrite in abbreviated form as

where

By (20) and (38), we obtain

where

Substituting (26) and (38) into on the center manifold and comparing the coefficients we get

Comparing the coefficients with (41) gives that

From (42), (43), and the definition of , we can derive the following equation:

Solving for and , we get

where , are two constant vectors, which can be determined by setting in .

By (33), , and noticing we have

Then it is easy to obtain

where

Thus, from (39), it follows that

Comparing the coefficient with (39), we have

From (40), we get that ; that is,

By the definition of and (42) we have

Notice that

Substituting (45) and (52) into (51), we obtain

By direct computation, we obtain

Thus, we can compute the following values which determine the properties of bifurcating periodic solutions at the critical value :

More specifically (see Hassard et al. [12]), determines the direction of the Hopf bifurcation: if (), then the Hopf bifurcation is forward (backward) and the bifurcating periodic solutions exist for (). determines the stability of the bifurcating periodic solutions: the bifurcating periodic solutions are stable (unstable) if (). determines the period of the bifurcating periodic solutions: the period increases (decreases) if ().

4. Numerical Simulation

In order to validate the theoretical analysis, we will present some numerical simulations. We take the following coefficients as an example: , , , , , , , , and , it is easy to obtain , , and . We choose ; then from (19) and by means of Mathematica software, we get and . Taking as the initial conditions. By Theorem 5 and the above results, we know equilibrium is locally asymptotically stable when as is illustrated in Figure 1. When , is unstable and periodic solutions occur from ; we take , the corresponding phase plots are shown in Figure 2.

Figure 1: Equilibrium is locally asymptotically stable when , .

Figure 2: Equilibrium is unstable when , .

Finally, the numerical simulation shows that it is a complex transformation process for the system changes from stable equilibrium to chaos.

5. Conclusion

Different from the previous work in [1, 2, 4], the main contribution of this paper lies in the following aspects. Firstly, we modify the traditional price differential equation model by considering demand function that is settled as a downward opening quadratic function and considering supply and demand functions that are both depending on the price of the past and the present. Then the price differential equation model with two delays is established. Secondly, to study the stability and Hopf bifurcation of system (4), we consider (4) with one delay and find the stable interval for . In the following, regarding as a parameter, we obtain the stable interval for . Then we get the stable interval for (4). In addition, we derive the algorithm for determining the direction of the Hopf bifurcation and the stability of the bifurcating periodic solutions by using techniques of normal form theory and center manifold method. Lastly, a numerical analysis confirms the effectiveness of our research results. The paper provided the preparative work for further discussion. For instance, we consider that supply cannot increase with the price without limit; the production capacity of enterprises and social resources are limited; then we can modify the supply function as a fractional linear function of price. The results in the paper enrich the toolbox for the qualitative analysis of mathematical economics and business administration.

Conflict of Interests

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

Acknowledgment

The authors are grateful to the referees for their helpful comments and constructive suggestions.

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