Abstract
In the current paper, we aim to study the oscillatory behavior of a new class of third-order differential equations. In the present study, we are interested in a better understanding of the relationships between the solutions and their derivatives. The recursive nature of these relationships enables us to obtain new criteria that ensure the oscillation of all solutions of the studied equation. In comparison with previous studies, our results are more general and include models in a wider range of applications. Furthermore, our findings are also significant because no additional restrictive conditions are required. The presented examples illustrate the significance of the results.
MSC:
34C10; 34K11
1. Introduction
In the 18th and 19th centuries, the general theory of differential equations expanded substantially. Indeed, increasingly involved kinds of differential equations were considered and studied, with contributions from scientists like Euler, Lagrange, and Laplace, who developed more advanced theories and more sophisticated tools. In the early 20th century, differential equations saw major developments with the advancement of mathematics and its applications in physics and engineering. Complex theories like Einstein’s theories of relativity and quantum mechanics, which heavily rely on differential equations, emerged. Recently, with the advent of computing and with the use of numerical techniques, it has become possible to numerically solve, and with arbitrarily high precision, very complex differential equations that were previously considered unsolvable. Indeed, for various differential problems, a wide choice of numerical methods is available, ranging from finite differences, finite elements, finite volumes, isogeometric analysis, discontinuous Galerkin methods, etc.; the associated matrix structures and matrix-sequences—either of Toeplitz or generalized local Toeplitz type—have been exploited for the design of fast methods for the related large linear systems [1,2,3,4,5,6,7,8]. This allowed for widespread applications in various fields such as meteorology, biology, economics, and others [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25].
Oscillation theory, in the context of differential equations, is a sophisticated and rich area of study that focuses on understanding the properties and behaviors of solutions to differential equations exhibiting oscillatory behavior. Furthermore, both ordinary and partial differential equations, also of fractional type, serve as mathematical models for a wide range of dynamical systems in physics, engineering, biology, and other sciences. Oscillation theory seeks to answer questions about the existence, uniqueness, amplitude, frequency, and stability of oscillations in such systems. Oscillation theory in differential equations provides a deep and nuanced understanding of how systems modeled by these equations behave over time. It enables the prediction, analysis, and control of oscillatory phenomena across a wide range of scientific and engineering disciplines.
Third-order differential equations play an important role in many fields, such as physics, engineering, and biology, where they are used to describe phenomena that change at a rate affected by third-degree derivatives. Third-order differential equations are complex compared to lower-order equations and usually require specialized solving methods and often specialized numerical techniques to find/compute their solutions. The solutions to these equations can be in the form of specific functions or series of functions, and the solutions may be unique or multiple depending on the nature of the equation and the specified initial conditions. An example of the applications of these equations is the analysis of vibrations in mechanical systems, where the third-order differential equation describes the relationship between the acting forces and the changes in the motion or shape of the concerned body. Third-order delay differential equations are a special type of differential equation where the solution depends on previous values of independent or dependent variables. This means that the value of the function at a certain moment is affected by its values at previous moments. These equations are characterized by a delay in the time response, making them useful in representing physical, biological, or economic phenomena, where a natural time delay between cause and effect has to be expected. Over the past three decades, a large number of studies have been conducted on the oscillation behavior theory of third-order equations involving variable coefficients. Most of these results have been collected in recent monographs [12,13].
In the present work, we are concerned with the oscillation of linear third-order delay differential equations of the form
where Throughout this paper, it is assumed that
- (i)
- and
- (ii)
- (iii)
- and the bivariate function has nonnegative partial derivatives with
By the solution of (1), we refer to a function . This solution has properties and and satisfies (1) on for every We focus our attention on those solutions that exist on I and satisfy
for any
Definition 1.
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.
Definition 2.
Equation (1) is said to be oscillatory if all its solutions oscillate. Otherwise, it is said to be nonoscillatory.
The presence of a delay argument can change the behavior of the solutions of (1). For example, the following third-order differential equation
has a nonoscillatory solution , while the behavior of the solutions of the delay differential equation
changes substantially, with an oscillatory nature if and only if
From this perspective, providing new criteria to ensure the oscillation of all solutions of Equation (1) is an interesting topic. For more information and technical details, we refer the reader to references [26,27,28,29,30] and the references cited therein.
For the third-order nonlinear delay differential equations
where is a quotient of two odd positive integers and
the oscillation was discussed in references [31,32]. For the third-order quasilinear delay differential equations
where and are quotients of two odd positive integers, the new oscillation criteria were studied by Saker and Dzurina [27], Zhang et al. [30], and Li et al. [33], which guarantee that all nonoscillatory solutions of Equation (2) tend to zero. On the other hand, Li et al. [29] studied the differential equations
and obtained some sufficient conditions that ensure that solutions of (3) are oscillatory or satisfy
Baculíková and Džurina ([34], Theorem 2) assumed that
and concluded that every solution of the differential equation
either converges to zero as or is oscillatory, if the delay differential equation
is oscillatory.
Motivation
In this work, we primarily aim to study the oscillatory behavior of the solutions to Equation (1). Unlike previous results (see [11,13,14,15,17,19]), our findings are characterized by flexibility as we rely on a new iterative technique that provides more accurate estimates for non-oscillatory solutions of type
Additionally, we find that most of the previous studies do not provide sufficient conditions to exclude solutions of type
For such types of findings, we refer the reader to reference [17,27,34]. However, through the results presented in the current paper, we provide new conditions that include an iterative relationship, ensuring the exclusion of this type of non-oscillatory solution. Therefore, our results have an iterative nature, allowing us to have multiple opportunities to test oscillations. This enhances the previous results that may sometimes fail when tested on real-world applications.
2. Preliminaries
In order to keep things brief, we define
for .
Remark 1.
Without a loss of generality, we can consider the positive solutions of (1). Furthermore, all inequalities will eventually hold, so they are satisfied for all ⊤ that are large enough.
Lemma 1
([10], Lemma 2). Assume that is an eventually positive solution of (1). Then, satisfies one of the following sets of relationships, either
or
eventually.
then tends to zero as .
3. Main Results
In this section, we introduce two lemmata that will be used to prove the main findings of the present paper. In the first lemma, we present a new relationship of iterative nature between the solution y and its second derivative in the case of a non-oscillatory solution of type (5). In the second lemma we present a further new relationship of an iterative nature between the solution and its second derivative in the case of a non-oscillatory solution of type (6). In Theorems 1 and 2, we present the most important results, where we establish sufficient conditions to ensure that all nonoscillatory solutions converge to zero as . Also, we present criteria which guarantee that all solutions of (1) oscillate.
Define the following functions:
Proof.
Assume that is a solution of (1) and case (5) satisfy on Since , it is obvious that
that is
Integrating from to ⊤ and using (8), we obtain
Clearly, there exists , such that
Thus, (9) holds for
Next, assume that (9) holds for some . Then, we observe
In (1), we obtain
Set and since we deduce that
According to the Grönwall inequality in (11), we obtain
Hence, and
Thus,
Integrating from to from (12), we infer
Therefore, there exists , such that
for all which, according to (8), leads to the inequality
The latter fulfills the steps of induction and the proof is concluded. □
Remark 2.
It is easy to see that, for we obtain the relationship that was used in previous studies, such as [15,17,19].
Proof.
Let be a solution of (1) and assume that case (6) holds on Since , we obtain
Thus,
Integrating (17) from u to , it is easy to see that
In other words, we obtained that (16) is fulfilled when
Now, suppose that (16) is satisfied for some , thus
From (19) with and in (1), we deduce
By following the same reasoning as in the proof of Lemma 3, we infer that
Using (16) in (20), we obtain
and hence,
Now, integrating (21) from u to we obtain
Hence, (16) is fulfilled for any and the proof is complete. □
Theorem 1.
Proof.
Let be a solution of (1), ∃ for for some Suppose first that case (5) holds for . From (9) and (1), we find
where is a solution of (23), then according to ([26], Theorem 1), the delay differential equation
also has a solution . According to reference [35], Theorem 2.1.1, (22) implies the oscillation of (24), which is a contradiction. Thus, the proof is complete. □
4. Applications
Example 1.
Example 2.
Example 3.
- (c1)
- For
- (c2)
- For
Remark 3.
The conditions obtained in ([34], Theorem 2; [14], Theorem 1; [34], Theorem 2; [36], Theorem 12; [37], Theorem 2.9) are the same condition that we obtain by setting in Theorem 1; therefore, all of these results fail according to Moreover, we do not need additional restrictions, while further hypotheses are needed for the results presented in references [15,17,27,32,37,38].
5. Conclusions
In this paper, we have obtained new oscillation criteria for a new class of delay differential Equation (1), characterized by their flexibility and ease of application to various models. The difficulty that previous studies encountered in providing conditions to ensure the exclusion of non-oscillatory solutions of the type (4) has prevented the achievement of conditions that guarantee the oscillation of all solutions of Equation (1). In the present study, we have managed to provide conditions that ensure the oscillation of all solutions of the equation. Using the comparison principle technique with a first-order equation, we obtained oscillation criteria with a new and different character. It is noteworthy that our results took into account the overall impact of delay, which was neglected in most of the previous studies.
The iterative nature of our results provides multiple opportunities for potential application, which were not available in the quoted literature (see references [15,17,27,32,37,38]). Therefore, our results primarily work on developing and enhancing classical techniques, and their iterative nature offers more opportunities to ensure the success and effectiveness of their application.
The presence of the constraint prevents the application of these results to some models, so studying the oscillation of solutions of Equation (1) without this constraint will be a good addition to oscillation theory in the future. Furthermore, studying the equation
under condition
will be an interesting topic and an inspiring starting point for future research.
Author Contributions
Conceptualization, N.O., S.S.-C. and B.Q.; methodology, F.A., B.Q. and E.M.E.; validation, N.O., B.Q. and F.A.; investigation, N.O., B.Q. and F.A.; resources, B.Q. and E.M.E.; data curation, N.O., B.Q. and F.A.; writing—original draft preparation, N.O., F.A. and B.Q.; writing—review and editing, B.Q., F.A., O.M., S.S.-C. and E.M.E.; visualization, F.A., S.S.-C. and B.Q.; supervision, F.A., S.S.-C. and B.Q.; project administration, B.Q.; funding acquisition, S.S.-C. All authors have read and agreed to the published version of the manuscript.
Funding
The work of Stefano Serra-Capizzano is supported by GNCS-INdAM and is funded by the European High-Performance Computing Joint Undertaking (JU) under grant agreement No. 955701. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Belgium, France, Germany, and Switzerland. Furthermore, Stefano Serra-Capizzano is grateful for the support of the Laboratory of Theory, Economics and Systems—Department of Computer Science at Athens University of Economics and Business.
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The authors declare no conflicts of interest.
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