Ordinary differential equations defined by a trigonometric polynomial field: Behavior of the solutions
W Oukil (USTHB)

TL;DR
This paper investigates solutions to ODEs driven by trigonometric polynomial fields, showing they possess a rotation vector and are weakly almost periodic, revealing structured long-term behavior.
Contribution
It proves the existence of a rotation vector for solutions of such ODEs and characterizes their boundedness and almost periodicity.
Findings
Solutions admit a rotation vector
The function x(t) - ho t is bounded
Solutions are weakly almost periodic functions
Abstract
We consider the ordinary differential equations defined by a trigonometric polynomial field, we prove that any solution admits a "rotation vector" . More precisely, the function is bounded on time and it is a "weak almost periodic" function of "slope" .
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Taxonomy
TopicsQuantum chaos and dynamical systems · Nonlinear Dynamics and Pattern Formation
Ordinary differential equations defined by a trigonometric polynomial field: Behavior of the solutions
W. Oukil
Laboratory of Dynamical Systems, Faculty of Mathematics.
University of Science and Technology Houari Boumediene,
BP 32 EL ALIA 16111 Bab Ezzouar, Algiers, Algeria.
(March 10, 2024)
Abstract
We consider the ordinary differential equations defined by a trigonometric polynomial field, we prove that any solution admits a rotation vector . More precisely, the function is bounded on time and it is a weak almost periodic function of slope .
Keywords: Periodic system, differential equation, rotation vector, rotation number, almost-periodic function, trigonometric polynomial.
AMS subject classifications: 34D05, 37B65, 34C15.
1 Introduction
In this article, we study the asymptotic behavior of solutions for ordinary differential equations (ODE) defined by a trigonometric polynomial field. The idea comes from the scalar case, where in this case H. Poincaré defined the rotation number for circle homeomorphisms [5]. The simple example is a scalar differential equation
[TABLE]
where is lipschitz, 1-periodic and is the state of the system. There exists a rotation number for which the function is bounded (periodic). We know that any non-autonomous system can be written as an autonomous system. Our result is a generalization of this asymptotic behavior to any dimension. In this case, is a vector and called a rotation vector or rotation set as it is defined in [4]. Under some assumptions of stability [[7], [2]] proved the existence of the rotation vector. Some biological works use the ODE defined by a trigonometric polynomial field and study the rotation vector components as in [[1], [3], [6], [8]]. Our contribution to this biological works has two key points, the mathematical proof of existence of the rotation vector and the study of the behavior of solutions.
2 Definition and Main result
We study in this article the following system
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where is the state of the system and is a trigonometric polynomial in the following sense
Definition 1**.**
[Trigonometric polynomial function] A function is called a trigonometric polynomial if there exists a finite sequence such that
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where is the usual scalar product on . A function is a trigonometric polynomial if each component is a trigonometric polynomial function.
To formulate the Mains results let us introduce the following definitions. We use the usual norm for every .
Definition 2**.**
[Rotation vector] Let and be a function. We say that admits as the *rotation vector * if
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For more information about the behavior of solutions, we introduce the following definitions.
Definition 3**.**
[Periodic modulo function] A function is called periodic modulo , if
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Definition 4**.**
[Weakly almost-periodic function] Let be . A function is weakly almost periodic of slope if it is and if there exists a uniformly bounded sequence for the sup-norm of functions that are periodic modulo and there exists a sequence such that
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We call the sequence the -periodic sequence of the function .
Remark 5**.**
Remark that for every the function is a periodic function.
Main Result**.**
Let be a trigonometric polynomial function. For every the unique solution of the differential equation
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admits a rotation vector . In addition, the function
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is weakly almost periodic of slope .
3 Space of periodic modulo functions
We define in this Section the space and the norm used to prove the Main result. The proofs of Lemmas for this Section are left in Appendix. In order to use the Fourier development, let us introduce the following notation.
Notation 6**.**
For every continuous function and every we denote the following limit if it exists
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In this Section and the Section (4), for every function and every , we denote the function defined as for all . The following constant will be used as change of variable in order to find a contraction in Lemmas 15 and 16 of Section 4. For every , we denote the set of function such that is a periodic modulo function. We remark, for very and that
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which is the Fourier coefficient of the function . Since is , by Dirichlet Theorem,
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We are now in position to define the following seminorm in : Let and , we denote for every and
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where and where we recall that for every . We prove in the following Lemma that a periodic modulo function is if it is uniformly bounded for the seminorm, i.e
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In other words, the set is include in the set of the periodic modulo functions uniformly bounded for the seminorm.
Lemma 7**.**
Let . Let be a complex-valued family such that
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Then the following series is normally convergent
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and for every . Further, .
Proof.
Appendix. A ∎
In the following Lemma we prove that the seminorm is a norm on the space and we compare it to the uniform norm topology.
Lemma 8**.**
Let be and such that then
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Proof.
Appendix. B ∎
We denote the differential of a function . The following Lemma gives an upper-bound of the quantity when is a trigonometric polynomial. We recall that .
Lemma 9**.**
Let be a trigonometric polynomial function. Then there exists such that for every we have
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Proof.
Appendix. C ∎
We end this Section by the following inequality.
Lemma 10**.**
Let and \Big{(}h_{j}\in E_{\omega}(\mathbb{R}^{n})\Big{)}_{j=1}^{k} . Then
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Proof.
Appendix. D ∎
4 Main proposition
The Main result affirms that the solution of Equation (1) is a sum of a linear part and a bounded part. The strategy to prove the Main result is to approximate the bounded part of by a -periodic sequence. Using the Fourier development and Equation (3), remark, for every periodic modulo function that
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under some convergence assumption of the series, by integration we get
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The last term of the right member of the last equality will play the role of -periodic sequence of the bounded part of the solution of Equation (1). In order to find an upper-bound of the bounded part, let us introduce the following notations.
Notation 11**.**
Let be a trigonometric polynomial. We denote the finite subset as
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and we denote
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Let be . Define,
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Remark that . We denote
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Let be , we denote
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We denote the constant of the function defined in Lemma 9.
In the following Proposition we prove that the bounded part of the solution of Equation (1) can be approximated by a -periodic functions and we find an appropriate upper-bound.
Proposition 12**.**
[Main proposition] Let be a trigonometric polynomial function. Then for every and every there exists a periodic modulo function such that and such that
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where
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As is state in the above Section, the following constant is used as change of variable in order to find a contraction.
Definition 13**.**
For every and every , define the set as if
there exists a complex-valued family such that
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,
for every .
Lemma 14**.**
The set is a nonempty subset of .
Proof.
The set because it contains the function . By definition of and by Lemma 7 the function is . ∎
For every , for every , and every let be the function defined by the following series in its convergence domain
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where
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Since is a real polynomial trigonometric function then for every such that the series converge. In the following Lemma we prove that is invariant under the operator . We deduce that is defined for every and .
Lemma 15**.**
Let be a trigonometric polynomial function. For every , there exists such that for every we have
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In addition, is defined for every .
Proof.
Prove that
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Let be and denote
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We have
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By definition of for every ,
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Recall that is defined on the Notations 11: For every such that and such that we have . By definition of and in Notation 11, we get
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By definition of the seminorm,
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By Lemma 9, we have
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Now, estimate the quantity \|\Big{(}\tilde{H}[\omega,g]\Big{)}_{\frac{1}{\omega}}\|_{\omega,q}. By definition,
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where
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Since is polynomial trigonometric function, then
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then for every we get
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By Notation 6
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where
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Since , then
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we deduce that
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Since then . Thanks to Lemma 8 we obtain
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By Lemma 10, we have for all
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By Lemma 9, we find
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By hypothesis , then
[TABLE]
we deduce that for all ,
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By Equations (5) and (4), we obtain
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Choose , where satisfies
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We obtain
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Replace both Equations (5) and (6) on Equation (4), we obtain
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∎
Lemma 16**.**
Let be a trigonometric polynomial function. For every there exists such that for every , there exists satisfying
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Proof.
Let be and . For every fixed , define the function as
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[TABLE]
By definition of we get
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We have
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Since , then
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Then
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where
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For every fixed we have . By Lemma 10, for every fixed we have
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Then
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Prove that there exists such that for every we have
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As in Proof of Lemma 15: By Equation (7) we have for every,
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By Lemmas 10;
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By hypothesis , by consequence
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Using Lemma9, we get
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Choose large such that
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We have proved Equation (9). Thanks to Equation (8), for every we have
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Now, choose fixed and large. Let be , by the last inequality, for every there exists such that
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Denote
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By Lemma 15 we have . By Lemma 8 we obtain
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∎
Proof of Proposition 12.
Let be . By Lemma 16, there exists such that for every there exists satisfying
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Define the functions,
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We recall that,
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By Equation (2),
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Using the definition of and replace on Equation (10), the function satisfies
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By Lemma 16, then
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By Lemma 14 the set is a subset of . Then is a periodic modulo function.
∎
5 Proof of the Main result
Proof of Main results.
Consider the System (1) where is a polynomial function.There exists such that . Use the change of variables
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we get
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where . Now, transform the last system to an autonomous systems. Define the functions as the identity function: for every , the system (11) can be written as
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in other words,
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where satisfies
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Since then is a polynomial trigonometric function. In addition, . Without loss of generality, we consider the system (1) by supposing that and for all . Let be a sequence satisfying . For every let be a function satisfying-
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We have . For every and every consider the function satisfying the Main Proposition such that
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Define the recurrent sequence as
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Prove that the sequence is bounded. Let be the function defined by . By the Main Proposition, we get
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since the sum is normally convergent, that implies
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By Equation (3), we have the following Fourier development
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then
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Since then
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we deduce that . There exists and a sub-sequence which converge to . In order to simplify the notation, we suppose that converge to . Since then
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We have supposed that for every , then . There exists and such that
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By the Main Proposition, we obtain
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Now, prove that the sequence functions converge uniformly on every interval . Since is a polynomial trigonometric function, then there exist such that is uniformly -Lipschitz function. For every we have
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where
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It is sufficient to prove that
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By Equation (12)
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Then
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We deduce that the sequence function is a Picard iteration for the solution of the differential equation
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there exists a weakly almost periodic function of slope such that
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By uniqueness of solution of differential equation, we have proved that
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∎
6 Conclusion
We have proved that any solution of ODE defined by a trigonometric polynomial field can be approximated by a sequence functions where and converge to the rotation vector of . The functions are periodic on and uniformly bounded.
Appendix. A
Proof of Lemma 7.
By hypothesis, for we have
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the series is normally convergent and we have
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implies
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Now, prove that . Denote
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It is sufficient to prove that for every we have
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where is differential of . The function is defined as
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We have
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By consequence,
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Thanks to Equation (13), we get
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which implies that . ∎
Appendix. B
Proof of Lemma 8 .
By Equation (3), we have
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Since then
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implies
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Since
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We deduce that
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∎
Appendix. C
Proof of Lemma 9.
Since is a trigonometric polynomial, then it is and there exists such that
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Implies,
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Denote
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Denote is differential of , which implies
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We have
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then
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Since \Big{(}g_{\frac{1}{\omega}}\Big{)}_{\omega}=g., we obtain
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It is sufficient to choose . ∎
Appendix. D
Proof of Lemma 10 .
Since , by Equation (3) we can write
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By definition of the seminorm,
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We have
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Then
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Using the triangular inequality, we obtain
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Since
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then
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We deduce that
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By Equation (14),
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∎
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