Abstract
Purpose
The objective of this work is to study the periodic solutions for a class of sixth-order autonomous ordinary differential equations
Design/methodology/approach
The authors shall use the averaging theory to study the periodic solutions for a class of perturbed sixth-order autonomous differential equations (DEs). The averaging theory is a classical tool for the study of the dynamics of nonlinear differential systems with periodic forcing. The averaging theory has a long history that begins with the classical work of Lagrange and Laplace. The averaging theory is used to the study of periodic solutions for second and higher order DEs.
Findings
All the main results for the periodic solutions for a class of perturbed sixth-order autonomous DEs are presenting in the Theorem 1. The authors present some applications to illustrate the main results.
Originality/value
The authors studied Equation 1 which depends explicitly on the independent variable t. Here, the authors studied the autonomous case using a different approach.
Keywords
Citation
Berrehail, C.E. and Makhlouf, A. (2025), "Periodic solutions for a class of perturbed sixth-order autonomous differential equations", Arab Journal of Mathematical Sciences, Vol. 31 No. 1, pp. 22-32. https://doi.org/10.1108/AJMS-02-2022-0045
Publisher
:Emerald Publishing Limited
Copyright © 2022, Chems Eddine Berrehail and Amar Makhlouf
License
Published in the Arab Journal of Mathematical Sciences. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at http://creativecommons.org/licences/by/4.0/legalcode
1. Introduction
When studying the dynamics of differential systems following the analysis of their equilibrium points, we should study the existence or not of their periodic orbits.
The averaging theory is a classical tool for the study of the dynamics of nonlinear differential systems with periodic forcing. The averaging theory has a long history that begins with the classical work of Lagrange and Laplace. Details of the averaging theory can be found in the books of Verhulst [1] and Sanders and Verhulst [2]. The averaging theory is used to the study of periodic solutions for second and higher order differential equations (DEs) (see Refs [3–7]).
In [8], the authors studied the periodic solution of the following fifth-order differential equation:
In [9], the authors studied equation (1) with
In [10], the authors studied the periodic solution of the following sixth-order differential equation:
Differential equations (DEs are one of the most important tools in mathematical modeling. For examples, the phenomena of physics, fluid and heat flow, motion of objects, vibrations, chemical reactions and nuclear reactions have been modeled by systems of DEs. Many applications of ordinary differential equations (ODEs) of different orders can be found in the mathematical modeling of real-life problems. Second- and third-order DEs can be found in Refs [11–14], and fourth-order DEs often arise in many fields of applied science such as mechanics, quantum chemistry, electronic and control engineering and also beam theory [15], fluid dynamics [16, 17], ship dynamics [18] and neural networks [19]. Numerically and analytically numerous approximations to solve such DEs of various orders have is studied in the literature. Most solutions of the mathematical models of these applications must be approximated.
The objective of this work is to study the periodic solutions for a class of sixth-order autonomous ordinary DEs:
In general, obtaining analytically periodic solutions of a differential system is a very difficult task, usually impossible. Recently, the study of the periodic solutions of sixth-order of DEs has been considered by several authors (see Refs [3, 20, 21]). Here, using the averaging theory, we reduce this difficult problem for the differential equation (3) to find the zeros of a nonlinear system of five equations. For more information and details about the averaging theory, see section (2) and the references quoted there.
In [10], the authors study the equation (2) where depends explicitly on the independent variable t. Here, we study the autonomous case using a different approach. We shall use the averaging theory to study the periodic solutions for a class of sixth-order autonomous differential equation (3).
Now, all our main results for the periodic solutions of equation (3) are as follows:
Assume that p, q are rational numbers different from 1, 0, − 1 and p ≠ q, in DE (3). For every positive simple
Theorem 1 is proved in section 3. Two applications of Theorem 1 are as follows:
If
Corollary 2 is proved in section 5.
If
Corollary 3 is proved in section 5.
2. Averaging theory
In this section, we present the basic results from the averaging theory that we shall need for proving the main results of this paper. We want to study the T-periodic solutions of the periodic differential systems of the form
We consider the variational equation
[Perturbations of an isochronous set] Consider the function
3. Proof of Theorem 1
If
We will now apply Theorem 4 to the system (17). We note that system (17) can be written as system (9) taking
Now computing the function
If determinant (5) is nonzero, the zeros (r∗, Z∗, U∗, V∗, W∗) of system (18) with respect to the variable r, Z, U, V and W providing periodic orbits of system (17) with ɛ ≠ 0 small enough if they are simple. Going back to the change of variable, for all simple zero (r∗, Z∗, U∗, V∗, W∗) of system (18), we obtain a 2πk periodic solution x(t) of the differential equation (3) for ɛ ≠ 0 small enough such that
4. Proof of Corollaries 2 and 3
4.1 Proof of Corollary 2
Consider the function
4.2 Proof of Corollary 3
Consider the function
System
References
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Further reading
25Liu C. Qualitative properties for a sixth-order thin film equation. Math Model Anal. 2010; 15(4): 457-71.