Abstract
The purpose of this paper is to give new oscillation criteria for second-order delay differential equations We introduce a new technique for the elimination of bounded nonoscillatory solutions.
MSC:
34C10
1. Introduction
We consider the second-order functional differential equation with delayed argument:
Throughout this paper, it is assumed that
- (H1) ,
- (H2) , .
As usual, by a proper solution of Equation (E), we mean a function which satisfies (E) for all sufficiently large t and for all
Definition 1.
A proper solution is called oscillatory if it has arbitrary large zero; otherwise, it is called nonoscillatory.
There are two eventual cases for nonoscillatory solutions of (E), namely if is a nonoscillatory solution of (E), then there exists a number such that
Definition 2.
Such is said to be a solution of degree j, and the totality of solutions of degree j is denoted by .
Therefore, if we denote the set of all nonoscillatory solutions of (E) by , then has the following decomposition:
The problem of determining oscillation criteria for particular functional differential equations has been a very active research area in the past few decades, and some of them are mentioned in references [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]. The qualitative study of such equations has, besides its theoretical interest, significant practical importance. This is due to fact that differential equations arise in various phenomena, including in problems concerning electric networks containing lossless transmission lines (as seen in high-speed computers, where such lines are used to interconnect switching circuits), in the study of vibrating masses attached to an elastic bar, and in the solution of variational problems with time delays. We refer the reader to [22,23] for models from mathematical biology where oscillation and/or delay actions may be formulated by means of cross-diffusion terms.
Our aim is to present a new technique for the investigation of asymptotic properties of (E). For this, we recall the classical result of Koplatadze and Chanturia [16].
Lemma 1.
Assume that () and () holds true. If
then for (E).
This result has been extended to more general differential equations (see, e.g., [9] or [19]). But we are about to make meaningful progress exactly for (E). Baculikova (see [3]) suggested two ways for improving Theorem 1. She noticed that the main idea of Koplatadze and Chanturia’s proof consists in the following estimates for possible solutions of degree 0:
Firstly, Koplatadze and Chanturia used the fact that is decreasing (see the third line of (3)), and Baculikova provided natural improvement in the sense of establishing a new monotonicity for in the form of , decreasing for a suitable function such that as .
Secondly, the information about function is lost on the interval (see the second line of (3)), and Baculikova eliminates this insufficiency by establishing “the opposite” monotonicity of , in the sense that is increasing for certain function . In this paper, we introduce a new idea for preserving information about over the interval by establishing the important estimate
for a certain positive constant . Moreover, we improve Baculikova’s monotonicity.
2. Preliminary Results
In this section, we recall some results from Baculikova [3].
Lemma 2.
If
then every solution of degree 0 of (E) satisfies
Let us denote that
Lemma 3.
Let be a positive solution of degree 0 for Equation (E). Then,
We introduce the auxiliary function such that
Moreover, we employ the following supplementary functions:
It is assumed that there exist positive constants , such that
Lemma 4.
Assume that there exists a function satisfying (8) and that is a positive solution of degree 0 of (E); then,
where
If it happens that
then the class
3. Results
In deriving the main results, we will rely on the Leibniz integral rule for differentiation under the integral sign, which claims that
Lemma 5.
Assume that is defined by (12) and
Then, there exists a constant such that, for any positive solution of (E),
where
- (i)
- if , then ℓ is an optional positive number;
- ()
- if , then .
Proof.
Assume that is a positive solution of (E). Then,
An integration of (E) yields
We consider the auxiliary function
It follows from (16) and (17) that . Consequently, to verify (15), it is sufficient to show that . The Leibniz integral rule implies that
which, in view of (11), provides
Taking (14) into account, one obtains
The proof is complete now. □
Lemma 5 permits us to improve the monotonicity presented in (7).
We consider such as in Lemma 5. We denote that
Lemma 6.
Let be a positive solution of degree 0 for Equation (E). Then,
Proof.
Assume that is a positive solution of (E). Setting (15) into (17), we have
where we have used (7). The last inequality is equivalent to
which gives
and we can conclude that is a decreasing function. □
Now, we are prepared to establish new criteria for for (E), or in other words, we are prepared for every bounded solution of (E) to be oscillatory.
Theorem 1.
Let (4) hold and the positive constants K, A, ℓ be the same as in Lemma 5. Assume that there exists a function satisfying (8) and that is defined by (18). If
then for (E).
Proof.
Assume, on the contrary, that (E) possesses a positive solution . Integrating (E) twice from t to ∞ and changing the order of integration, we obtain
Hence,
To simplify our notation, we employ the following functions:
We claim that To verify this, we employ a supplementary function:
And we shall show that . It follows from (5) and (22) that , and therefore, it is sufficient to confirm that By the Leibniz integral rule,
where we have used (15). Finally, (22), together with (24), implies that
where (19) has been also employed. Since (26) contradicts (21), the proof is finished. □
This is the standard way to illustrate the progress achieved by means of Euler differential equations.
Example 1.
Consider the differential equation
By Theorem 1, Equation (E1) for has no noscillatory solutions from class , provided that On the other hand, it is easy to verify that
Hencez,
We set . Consequently,
Then,
and
Condition (21) reduces for (E1) to
Consequently, for , condition (27) is satisfied for , which by Theorem 1 yields for (E1). On the other hand, Baculikova’s way [3] requires . The progress is obvious.
4. Discussion
In this paper we have introduced a new method for investigating the properties of linear second-order delay differential equations. There may be two ways for generalizing or improving the presented result. The first way would be to try one’s hand at establishing the iteration process for improving the monotonicity (19) (see the technique presented in [12]). The second way would involve trying to extend the results to higher-order differential equations.
Funding
This research received no external funding.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Conflicts of Interest
The author declares no conflicts of interest.
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