Discrete Dynamics in Nature and Society
Volume 2019 (2019), Article ID 7524743, 7 pages
https://doi.org/10.1155/2019/7524743

Research Article

Oscillation for Forced Second-Order Impulsive Nonlinear Dynamic Equations on Time Scales

Mugen Huang¹ and Kunwen Wen²

¹School of Statistics and Mathematics, Guangdong University of Finance and Economics, Guangzhou, Guangdong 514015, China
²Department of Mathematics, Jiaying University, Meizhou, Guangdong 514015, China

Correspondence should be addressed to Kunwen Wen; wenkunwen@126.com

Received 27 October 2018; Revised 29 November 2018; Accepted 11 December 2018; Published 3 January 2019

Academic Editor: Douglas R. Anderson

Copyright © 2019 Mugen Huang and Kunwen Wen. 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.

As the unification and development of impulsive differential equations and difference equations, impulsive dynamic equations on time scales are a powerful tool to simulate the natural and social phenomena. In this paper, we study the interval oscillation of a type of forced second-order nonlinear impulsive dynamic equations with changing signs coefficients. By using the Riccati transformation technique, we obtain some new interval oscillation criteria, based only on information of a sequence of subintervals of positive axis. In addition, we provide an example to illustrate the use of our oscillatory results.

1. Introduction

To unify continuous and discrete dynamics in a synthetical theory, Hilger introduced the theory of time scales in 1990 [1], which provides a powerful tool to study some traditionally separated fields in an uniform model [2, 3]. As an adequate mathematical tool to model the natural and social phenomena observed in physics, chemistry, biology, economics, neural networks, and social sciences, the topic is in spotlight with significant implications and has been a hot area of research for several years [4–7]. For example, Anderson and Zafer [5] established interval oscillation criteria for second-order super-half-linear functional dynamic equations with delay and advance arguments. Next, Agarwal et al. [6] extended the delay dynamic equations in [5] to mixed nonlinearities. In addition, they give analogous results for related advance type equations, as well as extended delay and advance equations.

Impulsive dynamic (or differential) equation with forced term is a powerful mathematical tool to simulate external action on a system, for example, an external force acted on a physical system, or some new species introduced to a biological system. A nonoscillatory spring can switch to be oscillatory by being appended a series of appropriate external forces. It is very interesting and meaningful to study the impacts of impulse and forced term on the oscillation of the system and its formation mechanism, and impulse is an important mechanism generates oscillation for differential equations or dynamic equations [8–12]. For instance, Ozbekler and Zafer [10] derived new interval oscillation criteria for forced super-half-linear differential equations with impulse effects. Huang et al. [13] studied a general second-order nonlinear dynamic equations with impulses and proved in theory that suitable impulses would convert nonoscillatory solutions to be oscillatory. Based information only on a sequence of intervals on the half interval , Wong [12] introduced interval oscillatory criteria to differential equation with forced term and proved external force can produce oscillation. Liu extended Wong’s interval oscillation criteria to a super-linear second-order impulsive forced differential equations. Huang et al. [14] extended Wong’s methods to dynamic equation on time scales with forced term.

To cover and develop the oscillatory criteria established by Wong and Liu, it is naturally to ask if we can extend the interval oscillation criteria to impulsive dynamic equations with forced term. In this paper, we study the oscillation of a forced second-order nonlinear impulsive dynamic equation on time scales.

To be clear and self-contained, we introduce some fundamental conceptions and symbols used in time scales [1–3]. Denote a time scale with . Define the forward and backward jump operators by

where , , and denotes the empty set. A nonmaximal element is called right-dense if or right-scattered if . Similarly, define a nonminimal element being left-dense or left-scattered by reversing the inequality. Denote as the graininess.

A function is called rd-continuous, if it is continuous at right-dense points and its left-sided limits exist at left-dense points in . Let be the set of rd-continuous functions from to . A mapping is differentiable at , if there is such that, for any , there exists a neighborhood U of satisfying , for all . If exist for all , then is delta differentiable (or in short: differentiable) on . The delta-derivative and forward jump operator are related by the formula

Consider the following forced second-order nonlinear impulsive dynamic equations:

where are constants, , , and .

which represent right limits of and at in the sense of time scales. If is right-scattered, then , . Similarly, we can define and . Assume that all the impulsive points , are right-dense. To define the solutions of (3), we introduce the following space.

is times differentiable, whose th delta-derivative is absolutely continuous.

is rd-continuous except at the points , for which and exist with .

Definition 1. A function is said to be a solution of (3), if it satisfies a.e. on , and for each satisfies the impulsive condition and the initial conditions .

Definition 2. A solution of (3) is said to be oscillatory if it is neither eventually positive nor eventually negative; otherwise it is called nonoscillatory. Equation (3) is called oscillatory if all solutions are oscillatory.
By using generalized Riccati transformation technique, we study the interval oscillation criteria of (3) with changing sign coefficients and forced term in Section 2. The results extend and improve those of the earlier publications. We provide an example to illustrate the use of our main oscillatory results in Section 3.

2. Main Results

In this section, we develop some interval oscillation criteria of (3), which base information on a couple of intervals and . To model the real world more accurate, we consider the coefficients and of (3) being changing signs. Without loss of generality, assume that and satisfy (C). with , and

Denote , , if , and

We formulate the well-known inequality for convenience, which will be used in the proof of our main results.

Lemma 3. For any nonnegative and , we have

and the equality holds if and only if .

Theorem 4. Let for . Suppose that for any , there exists constants with , and condition holds. If there exists such that

where for , and

for , then (3) is oscillatory.

Proof. We prove the oscillation of (3) by argument of contradiction. Suppose that (3) has a nonoscillatory solution , which is eventually positive. Say for . Define the Riccati transformation for . The derivative of along with the solutions of (3) takes the form

with , . By the assumption , we can select with and , , , such that

which gives nonincreasing on , .
For , we have

Hence

Making similar analysis on the intervals and , , we obtain

and

By using (14), (15), (16), and the condition , (11) yields

where . For the impulsive moments , it follows from (3) that

For the case , all the impulsive moments in are . Let be a function satisfying the assumption of the theory. Multiply both sides of (17) by and integrate it from to , using the integration by parts formula

for any constants , , and differential functions , , we obtain

Using (18), we get

It follows from (14)-(16) that

and

The conditions , (22), and (23) yield

Thus

According to (21), we have

which is contradicted with (9).
For the case , , and there are no impulsive points in . Similar to the proof of (21), we obtain

which is contradicted with (9) again.
For the case , , by letting , then is positive solution of the dynamic equations

Repeating the above procedure on the interval , we will obtain a contradiction again. This completes the proof of Theorem 4.

Theorem 5. Let for and for . Suppose that for any , there exists constants with , and holds. If there exists such that

where is given by (10), then (3) is oscillatory.

Proof. Assume that , is a nonoscillatory solution of (3). Let , , and choose , with and , for . Hence, , for . Lemma 3 gives

where is a positive constant. By (3) and (30), we obtain

Let . By using (14)-(16), the formulas (2) and

we have

where and .
In the case , all the impulsive moments in are . Let be given as in the theorem. Multiplying both sides of (33) by and integrating it from to give

Similar to the proof of Theorem 4, by using (18), we have

Thus, (34) yields

which is contradicted with (29).
In the case , we have and there are no impulsive moments in . Similar to the proof of Theorem 4, we get a contradiction again.
If , , we can derive a similar contradiction on . This completes the proof of Theorem 5.

3. Example

Since the time scale is an important and useful tool used extensively to simulate biological population, electric circuit, and so on, we give an example in to show the application of our oscillatory criteria.

Example 6. Consider the following system:

with the transition condition

where , are constants.
Hence , , and . For any , choose , , , , such that for sufficiently large . Hence for , and for , and for . Let , then , . Furthermore, we have , for , . By some simple calculation, for , we have

and

Therefore,

The impulsive points in are and in are . Thus

By Theorems 4, (3) is oscillatory if

For example, letting , yields

for sufficiently large , and so (38) holds. It follows from Theorem 5 that all the solutions of (37)-(38) are oscillatory.

Data Availability

No data were used to support this study.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Acknowledgments

This work was supported by the Natural Science Foundation of Guangdong Province (Grants nos. 2017A030310597 and 2018A030307024).

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