Abstract
This paper investigates the asymptotic and oscillatory properties of a distinctive class of third-order linear differential equations characterized by multiple delays in a noncanonical case. Employing the comparative method and the Riccati method, we introduce the novel and rigorous criteria to discern whether the solutions of the examined equation exhibit oscillatory behavior or tend toward zero. Our study contributes to the existing literature by presenting theories that extend and refine the understanding of these properties in the specified context. To validate our findings and demonstrate their applicability in a general setting, we offer two illustrative examples, affirming the robustness and validity of our proposed criteria.
Keywords:
delay differential equations; asymptotic and oscillatory properties; third-order; noncanonical case MSC:
34C10; 34K11
1. Introduction
In this paper, our focus is on investigating the oscillatory characteristics exhibited by solutions to a linear third-order delay differential equation (DDE), given by the form
where
Hypothesis 1.
,
Hypothesis 2.
does not vanish identically;
Hypothesis 3.
, and
We define the operators for the sake of clarity and brevity:
A nontrivial function , is said to be a solution of (1) which has the property , and it satisfies (1) on . We consider only those solutions x of (1) which exist on some half-line and satisfy the condition
A solution of (1) is said to be oscillatory if it is neither eventually positive nor eventually negative. Otherwise, it is said to be nonoscillatory. The equation itself is termed oscillatory if all its solutions oscillate.
Differential equations form the backbone of mathematical modeling, offering a powerful framework to describe the behavior of various dynamic systems across diverse fields. These equations express relationships between a function and its derivatives, allowing for the exploration of how a system evolves over time. Their applications span physics, engineering, biology, economics, and more, making them an indispensable tool for understanding and predicting the behavior of complex phenomena, see [,,,,,,].
In the realm of dynamic systems, delay differential equations of the third order introduce an additional layer of complexity by incorporating time delays into the modeling process. Unlike ordinary differential equations, these equations account for the influence of both current and past values of variables. The consideration of third-order delays enhances the ability to capture intricate temporal dependencies, providing a more accurate representation of systems exhibiting memory effects. The exploration of such equations is vital for unraveling the dynamics of real-world phenomena characterized by delayed responses, see [,,,,,,].
Oscillatory theorems play a pivotal role in understanding the inherent vibrational patterns within dynamic systems. Investigating the oscillatory behavior of solutions to differential equations provides valuable insights into the stability and periodicity of the systems under consideration. Such theorems are essential in predicting and controlling oscillations, making them a cornerstone in the analysis of dynamic systems, see [,,,,,].
Although even-order delay differential equations have been more extensively investigated than their odd-order counterparts, the overall exploration of DDEs has experienced a notable surge in interest in recent years. For those interested, a wealth of literature exists, with significant contributions from researchers such as Baculikova et al. [,,], Dzurina et al. [,], Chatzarakis et al. [,], Moaaz [,,,,], Masood et al. [,], Alrashdi et al. [], El-Gaber [], and Hassan et al. [,]. Further details and additional references can be found in the works mentioned above, providing a robust foundation for delving into the expanding realm of DDE studies.
Hartman and Wintner [], and Erbe [] investigated a specific instance of (1), specifically, the third-order differential equation
Saker and Dzurina [], Grace et al. [], Baculíková and Džurina [] explored the oscillatory behavior of
under the conditions
Jadlovska et al. [] and Chatzarakis et al. [] delved into a specific case of (1), a third-order delay differential equation
in the canonical scenario where
They discussed the criteria ensuring that all solutions oscillate or tend to zero. Subsequently, Masood et al. [] extended this study to encompass the third-order quasilinear delay differential equation
in the canonical case
This paper explores the asymptotic and oscillatory characteristics of solutions to a delayed differential Equation (1). Employing both the comparison method and the Riccati method, we establish criteria that reveal whether the solutions to the examined equation exhibit oscillatory behavior or converge to zero. Our approach extends the investigation conducted in the literature [], which specifically examined (1) under the case .
2. Main Results
In this paper, we assume that the functional inequalities discussed hold for sufficiently large values of s. To simplify the study without losing the generality, we focus only on the positive solutions of (1). Our analysis begins by examining the potential structure of non-oscillatory solutions.
For convenience, we define the following notations:
Definition 1
Lemma 1
([]). Suppose that x is an eventually positive solution of (1). Then there exists such that the variable x satisfies one of the following cases:
for
Lemma 2.
If then (1) implies
Proof.
□
Lemma 3.
If then (1) implies
Proof.
□
Theorem 1.
Proof.
Firstly, it is crucial to emphasize that when both and (5) are satisfied, then
Now, assume that for the sake of contradiction, that x is a nonoscillatory solution of (1) on . Without loss of generality, we can choose such that and for . According to Lemma 1, there are four possible cases for , and we will analyze each of these cases separately.
Suppose that holds. In this scenario, due to , we observe that x is decreasing, that is, implying the existence of a finite constant such that .
We claim that . Assuming the contrary, would imply the existence of such that for . Thus,
for Integrating (7) from to s, we find
Hence,
Integrating (8) once more from to s, we obtain
Hence,
Integrating (9) from to s the final time and considering (5) into account, we obtain
This contradicts the positivity of x. Therefore, we conclude that
Assume that holds. We follow a similar procedure as in , to arrive at (7). Integrating (7) from to s, we observe that
where we utilized (6). This contradicts the positivity of and consequently, we conclude that
Assume that holds. We define a function
Certainly, w is positive for . According to (3), we find
Integrating the above inequality from to s and considering (7) into account, we have
which leads to a contradiction.
Assume that holds. Since x is increasing, integration (3) from to s yields
This leads to
Integrating (11) from to s and using (7), we have
This leads to a contradiction, completing the proof. □
Remark 1.
It is clear that any nonoscillatory solution mentioned in Theorem 1 satisfies either case or as stated in Lemma 1.
In the subsequent result, we present more robust supplementary details regarding the monotonic behavior of solutions that adhere to .
Lemma 4.
Consider x satisfying as described in Lemma 1 on the interval for some Define the function
If the condition
is satisfied, then there exists such that
for
Proof.
Assume that x satisfies as stated in Lemma 1 on the interval for some . Firstly, we demonstrate that (11) implies
By applying L’Hôpital’s rule, we obtain
As is decreasing, there is a finite constant such that . We claim that . If not, then and consequently, eventually, say for with . Substituting this relation into (4), we deduce that
Integrating the above inequality from to s, we obtain
This contradiction implies that (16) holds and consequently
due to the decreasing nature of and , respectively. Using the monotonicity of alongside (17), we derive
which implies,
Thus, is increasing on . Combining this information with (17) leads to
Therefore
and we conclude that is monotonically decreasing. This, along with (16), implies (15), completing the proof. □
Corollary 1.
Theorem 2.
Proof.
Suppose for the sake of contradiction, that x is a nonoscillatory solution of (1) on . Without the loss of generality, we can choose such that and for . According to Lemma 1, there are four possible cases for , and and we will analyze each of these cases separately.
Assume that holds. Integrating (4) from to s and using the fact that x is decreasing, we obtain
This leads to
Integrating (21) from to s, we obtain
or
However, according to Theorem 2.1.1 in [], condition (18) ensures that the above inequality does not have a positive solution, which contradicts our initial assumption.
The next result is a straightforward consequence of Theorem 2 and Corollary 1. It is noteworthy that this result furnishes more robust information about solutions compared to property A.
Theorem 3.
In what follows, we present various results which can serve as alternatives to Theorem 2.
Proof.
Suppose for the sake of contradiction, that x is a nonoscillatory solution of (1) on . Without loss of generality, we can choose such that and for . According to Lemma 1, there are four possible cases for .
Proof.
Suppose for the sake of contradiction, that x is a nonoscillatory solution of (1) on . Without loss of generality, we can choose such that and for . According to Lemma 1, there are four possible cases for .
Assume that holds. Define the function
Clearly, on . Since is decreasing, we have
Putting in the above inequality, we obtain
From this and the definition of w, it is easy to see that
On the other hand, as in the proof of Theorem 2, we arrive at (20), which implies
Differentiating w and using (27) and (30), we have
Multiplying both sides of (31) by and integrating the resulting inequality from to s, we have
However, in view of (26), this inequality contradicts (29).
Assume that holds. As in the proof of Theorem 2, one arrives at contradiction with (19).
To show that and are impossible, it is sufficient to note that
is necessary for the validity of (26). Furthermore, since is decreasing due to , then (32) implies that the function
is unbounded, and so (6) holds. The rest of proof proceeds in the same manner as that of Theorem 1. This completes the proof. □
Theorem 6.
Proof.
Suppose for the sake of contradiction that x is a nonoscillatory solution of (1) on . Without the loss of generality, we may take such that and for . By Lemma 1, four possible cases may occur for .
The proof of , and proceeds in the same manner as that in Theorem 2 (Theorems 4 and 5).
Example 1.
3. Conclusions
This paper has presented a comprehensive investigation into the asymptotic and oscillatory properties of a certain type of third-order linear differential equation with multiple delays, in a noncanonical case. By applying the comparative method and the Riccati method, we have established new and stringent criteria to determine whether the solutions of the studied equation exhibit oscillatory behavior or approach zero. Our results not only enhance the understanding of this particular differential equation but also contribute to the broader literature on delay differential equations.
Furthermore, in light of future research directions, we recognize the potential for extending the scope of this study. Specifically, we propose exploring the application of the same techniques to establish criteria for determining the oscillatory or convergent behavior of solutions for half-linear neutral differential equations of the form
Such an expansion of our study could significantly enhance the applicability of the methods employed in this paper to a wider range of differential equations, thereby fostering continued advancement in the field.
Author Contributions
Conceptualization, H.S.A., O.M. and E.M.E.; Methodology, O.M., K.A. and M.Z.; Formal analysis, K.A., M.K. and M.Z.; Investigation, H.S.A. and M.K.; Writing—original draft, H.S.A., M.K. and M.Z.; Writing—review & editing, K.A. and E.M.E.; Supervision, O.M. and E.M.E. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Deanship of Scientific Research at King Khalid University through Large Groups Project under grant number RGP 2/135/44.
Data Availability Statement
Data are contained within the article.
Acknowledgments
The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through Large Groups Project under grant number RGP. 2/135/44.
Conflicts of Interest
The authors declare no conflict of interest.
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