Abstract and Applied Analysis

Volume 2011, Article ID 635926, 12 pages

http://dx.doi.org/10.1155/2011/635926

## Oscillatory Periodic Solutions for Two Differential-Difference Equations Arising in Applications

College of Mathematics and Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China

Received 28 November 2010; Revised 31 January 2011; Accepted 2 March 2011

Academic Editor: Elena Braverman

Copyright © 2011 Rong Cheng. 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 study the existence of oscillatory periodic solutions for two nonautonomous differential-difference equations which arise in a variety of applications with the following forms: and , where is odd with respect to and are two given constants. By using a symplectic transformation constructed by Cheng (2010) and a result in Hamiltonian systems, the existence of oscillatory periodic solutions of the above-mentioned equations is established.

#### 1. Introduction and Statement of Main Results

Furumochi [1] studied the following equation: with , , , which models phase-locked loop control of high-frequency generators and is widely applied in communication systems. Obviously, (1.1) is a special case of the following differential-difference equations: where is a real parameter. In fact, a lot of differential-difference equations occurring widely in applications and describing many interesting types of phenomena can also be written in the form of (1.2) by making an appropriate change of variables. For example, the following differential-difference equation: arises in several applications and has been studied by many researchers. Equation (1.3) was first considered by Cunningham [2] as a nonlinear growth model denoting a mathematical description of a fluctuating population. Subsequently, (1.3) was proposed by Wright [3] as occurring in the application of probability methods to the theory of asymptotic prime number density. Jones [4] states that (1.3) may also describe the operation of a control system working with potentially explosive chemical reactions, and quite similar equations arise in economic studies of business cycles. Moreover, (1.3) and its similar ones were studied in [5] on ecology.

For (1.3), we make the following change of variables: Then, (1.3) can be changed to the form of (1.2) where .

Although (1.2) looks very simple on surface, Saupe's results [6] of a careful numerical study show that (1.2) displays very complex dynamical behaviour. Moreover, little of them has been proved to the best of the author's knowledge.

Due to a variety of applications, (1.2) attracts many authors to study it. In 1970s and 1980s of the last century, there has been a great deal of research on problems of the existence of periodic solutions [1, 4, 7–10], slowly oscillating solutions [11], stability of solutions [12–14], homoclinic solutions [15], and bifurcations of solutions [6, 16, 17] to (1.2).

Since, generally, the main tool used to conclude the existence of periodic solutions is various fixed-point theorems, here we want to mention Kaplan and Yorke's work on the existence of oscillatory periodic solutions of (1.5) in [7]. In [7], they considered the following equations: where is continuous, for , and satisfies some asymptotically linear conditions at 0 and . The authors introduced a new technique for establishing the existence of oscillatory periodic solutions of (1.6). They reduced the search for periodic solutions of (1.6) to the problem of finding periodic solutions for a related systems of ordinary differential equations. We will give more details about the reduction method in Section 2.

In 1990s of the last century and at the beginning of this century, some authors [18–21] applied Kaplan and Yorke's original ideas in [7] to study the existence and multiplicity of periodic solutions of (1.2) with more than two delays. See also [22, 23] for some other methods.

The previous work mainly focuses on the autonomous differential-difference equation (1.2). However, some papers [13, 24] contain some interesting nonautonomous differential difference equations arising in economics and population biology where the delay of (1.2) depends on time instead of a positive constant. Motivated by the lack of more results on periodic solutions for nonautonomous differential-difference equations, in the present paper, we study the following equations: where is odd with respect to and , . Here, we borrow the terminology “oscillatory periodic solution” for (1.7) and (1.8) since is odd with respect to .

Now, we state our main results as follows.

Theorem 1.1. *Suppose that is odd with respect to and -periodic with respect to . Suppose that
**
exist. Write and . Assume that **(H _{1})*

*, , for all ,*

*(H*

_{2})*there exists at least an integer with such that*

*then (1.7) has at least one nontrivial oscillatory periodic solution satisfying .*

Theorem 1.2. *Suppose that is odd with respect to and -periodic with respect to . Let and be the two functions defined in Theorem 1.1. Write and . Assume that **(H _{3})*

*, , for all ,*

*(H*

_{4})*there exists at least an integer with such that*

*or*

*then (1.8) has at least one nontrivial oscillatory periodic solution satisfying .*

*Remark 1.3. *Theorems 1.1 and 1.2 are concerned with the existence of periodic solutions for nonautonomous differential-difference equations (1.7) and (1.8). Therefore, our results generalize some results obtained in the references. We will use a symplectic transformation constructed in [25] and a theorem of [26] to prove our main results.

#### 2. Proof of the Main Results

Consider the following nonautonomous Hamiltonian system: where is the standard symplectic matrix, is the identity matrix in , denotes the gradient of with respect to , and is the Hamiltonian function. Suppose that there exist two constant symmetric matrices and such that We call the Hamiltonian system (2.1) asymptotically linear both at 0 and with constant coefficients and because of (2.2).

Now, we show that the reduction method in [7] can be used to study oscillatory periodic solutions of (1.7) and (1.8). More precisely, let be any solution of (1.7) satisfying . Let , , then satisfies and . What is more, if is a solution of (2.3) with the following symmetric structure then gives a solution to (1.7) with the property . Thus, solving (1.7) within the class of the solutions with the symmetry is equivalent to finding solutions of (2.3) with the symmetric structure (2.4).

Since is indeed the standard symplectic matrix in the plane , the system (2.3) can be written as the following Hamiltonian system: where for each .

From the assumptions of Theorem 1.1, we have

Hence, the gradient of the Hamiltonian function satisfies

By (2.7), according to [25], there is a symplectic transformation under which the Hamiltonian system (2.5) can be transformed to the following Hamiltonian system: satisfying where and are two constants defined in Theorem 1.1.

By (2.9), we have the following.

Lemma 2.1. *The Hamiltonian system (2.8) is asymptotically linear both at 0 and with constant coefficients and .*

Let be any solution of (1.8) satisfying . Let , , and , then satisfies and .

Following the ideas in [18], (2.10) can be reduced to a two-dimensional Hamiltonian system where for each .

From the assumptions of Theorem 1.1, (2.6), the gradient of the Hamiltonian function satisfies where is a symmetric positive definite matrix.

It follows from (2.12) and [25] that there exists a symplectic transformation under which the Hamiltonian system (2.11) can be changed to the following Hamiltonian system: satisfying where and are two constants defined in Theorem 1.2.

Then, (2.14) yields the following.

Lemma 2.2. *The Hamiltonian system (2.13) is asymptotically linear both at 0 and with constant coefficients and .*

*Remark 2.3. *In order to find periodic solutions of (1.7) and (1.8), we only need to seek periodic solutions of the Hamiltonian systems (2.8) and (2.13) with the symmetric structure (2.4), respectively.

In the rest of this paper, we will work in the Hilbert space , which consists of all in whose Fourier series

satisfies

The inner product on is defined by

where , the norm , and denotes the inner product in .

In order to obtain solutions of (2.8) with the symmetric structure (2.4), we define a matrix with the following form:

Then, by , for any , define an action on by Then by a direct computation, we have that , , and is a compact group action over . If holds, then through a straightforward check, we have that has the symmetric structure (2.4).

Lemma 2.4. *Write , then is a subspace of with the following form:
**
where and .*

*Proof. *Write , where , . By and the definition of the action , we have
which yields
Then, we have
Similarly, by , one has
Therefore, , , that is, . Similarly, . Thus, for ,
where , .

Moreover, for any ,
And for any , . Thus, is a subspace of . This completes the proof of Lemma 2.4.

For the Hamiltonian system (2.13), we define another action matrix with the following form:

Then, by , for any , define an action on by Then, by a direct computation, we have that and is a compact group action over . If holds, then through a direct check, we have that has the symmetric structure (2.4).

*Remark 2.5. *By and the definition of , the set has the same structure (2.20), where the relation between the Fourier coefficients of the first component and the second component is slightly different with the elements in . We denote it also by which is a subspace of .

Denote by , , and the number of the negative, the positive, and the zero eigenvalues of a symmetric matrix , respectively. For a constant symmetric matrix , we define our index as where Observe that for large enough, and . In fact, write

Notice that . If is sufficiently large, then , which are the indices of the first matrix in (2.31). Furthermore, if decreases, these indices can change only at those values of , for which the matrix is singular, that is, . This happens exactly for those values of for which is a pure imaginary eigenvalue of . Indeed assume is an eigenvector of with eigenvalue 0, then by , one has and . Thus, ; therefore, . Therefore, , as claimed. Hence, and are well defined.

The following theorem of [26] on the existence of periodic solutions for the Hamiltonian system (2.1) will be used in our discussion.

Theorem A. *Let be -periodic in and satisfy (2.2). If and , then the Hamiltonian system (2.1) has at least one nontrivial periodic solution.*

Now, we claim the following.

Lemma 2.6. *If is a solution of the Hamiltonian system (2.8) ((2.13)) in , then is the solution of the Hamiltonian system (2.5) ((2.11)) with the symmetric structure (2.4), respectively.*

*Proof. *By Lemma 2.4, any has the structure (2.4). We only need to show or , that is, or , which can be verified directly by the constructions of the symplectic transformations and , respectively. Please see [25] for details.

We denote the matrix by for convenience. We prove the following lemma.

Lemma 2.7. *
(1) Suppose that (H _{1}) and (H_{3}) hold, then . *

*(2) Suppose that (H*

_{1}) and (H_{2}) hold, then .*(3) Suppose that (H*

_{3}) and (H_{4}) hold, then .*Proof. *For any , let and denote the spectra of and , respectively. Denote by and the elements of and , respectively, then
The above computation of determinant shows that
*Case 1. *From (2.33), if , for all , then , where is the eigenvalue of . That means for . Thus, . Similarly, we have .*Case 2. *Without loss of generality, we suppose that . By the conditions *(H _{1})* and

*(H*, Since , by (2.33), . By and (2.33), , that is, For each and from (2.33), one can check easily that . Hence, one has , since for large enough. This yields that . Then, property (2) holds.

_{2})*Case 3.*By the conditions

*(H*and

_{3})*(H*, without loss of generality, we suppose that and

_{4})Since , by (2.34), . By and (2.34), one has , that is, For each and from (2.34), it is easy to see that and . Then, by the definition of , we have . Therefore, we have since for large enough. This implies that . Then, property (3) holds.

Now, we are ready to prove the main results. We first give the proof of Theorem 1.1.

*Proof of Theorem 1.1. *Solutions of (2.8) in are indeed nonconstant classic -periodic solutions with the symmetric structure (2.4), and hence they give solutions of (1.7) with the property . Therefore, we will seek solutions of (2.8) in .

Now, Theorem 1.1 follows from Lemmas 2.1, 2.6, and 2.7 and Theorem A.

*Proof of Theorem 1.2. *Obviously, Theorem 1.2 follows from Lemmas 2.2, 2.6, and 2.7 and Theorem A.

#### Acknowledgments

The author thanks the referee for carefully reading of the paper and giving valuable suggestions. This work is supported by the National Natural Science Foundation of China (11026212). This paper was typeset using AMS-LATEX.

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