Abstract
Inthis paper, we consider the reducibility of a class of nonlinear almost periodic Hamiltonian systems. Under suitable hypothesis of analyticity, non-resonant conditions and non-degeneracy conditions, by using KAM iteration, it is shown that the considered Hamiltonian system is reducible to an almost periodic Hamiltonian system with zero equilibrium points for most small enough parameters. As an example, we discuss the reducibility and stability of an almost periodic Hill’s equation.
1. Introduction
In this paper, we are concerned with the reducibility of the almost periodic Hamiltonian system
where A has multiple possible eigenvalues, and are all analytic almost periodic with respect to t, and is a sufficiently small parameter.
First, we review some relevant definitions for almost periodic systems. If is an almost periodic matrix, the equation
is reducible if there exists a regular almost periodic transformation
where and are almost periodic and bounded, which transforms Equation (2) into
where D is constant.
In recent years, the reducibility for linear equations has attracted the attention and been studied by many researchers. The well known Floquet theorem states that every periodic differential Equation (2) can be reduced to a constant coefficient differential Equation (3) by means of a periodic change of variables with the same period as . But this result no longer holds true for the quasi-periodic and almost periodic linear equation; more details can be seen in [1]. If the coefficient matrix satisfies the “full spectrum” condition, Johnson and Sell [2] proved the reducibility of the quasi-periodic linear system (2).
Later, many authors [3,4,5,6,7,8,9,10,11,12] paid attention to the reducibility for the following quasi-periodic linear system:
where is a sufficiently small parameter.
In 1996, Xu and You [13] studied the reducibility for the almost-periodic linear system
They proved that system (5) is reducible in the case that A has different eigenvalues, for most sufficiently small through KAM iteration and a “space structure”. Later, ref. [14] studied the case in which system (5) is Hamiltonian and A has possible multiple eigenvalues; they obtained reducibility results similar to those in [13].
In 2017, J. Li, C. Zhu, and S. Chen [15] studied the quasi-periodic case of (1). It was shown that for most sufficiently small parameters, under some assumptions of analyticity, non-resonant and non-degeneracy conditions, through a quasi-periodic symplectic change of variables, the considered system was changed into a quasi-periodic Hamiltonian system with zero equilibrium points.
Motivated by [13,14,15], we will extend the reducible results of [15] to the case of almost periodic Hamiltonian systems. Under some suitable assumptions, we will obtain a similar result.
Theorem 1.
for and , where is a small constant, and Δ is an approximation function.
Consider the almost periodic Hamiltonian system (1) in which A is a matrix that can be diagonalized with multiple possible eigenvalues , , and , , and are all analytic almost periodic functions on ; they have the same frequencies and spatial structure . Moreover, is analytic with respect to x on and Here, is a ball centered on 0 with radius ; is a sufficiently small parameter. Suppose the following:
- (1)
- There exists such that
- (2)
- (Non-resonant conditions) and satisfy
- (3)
- (Non-degeneracy conditions) Denote the solution of the equation by . Let Assume has eigenvalues that satisfy and , where and
- (4)
- .
Then, there exists a positive Lebesgue measure, non-empty Cantor set such that for , there is an almost periodic symplectic transformation that transforms (1) into
where and are almost periodic with the same frequencies and spatial structure as , B is a real constant matrix, and as . Moreover, as .
As an example, we will apply Theorem 1 in Section 4 to an almost-periodic Hill’s equation:
Under some appropriate assumptions, we have that, for most small , Equation (9) is reducible. Furthermore, the zero equilibrium point of (9) is Lyapunov stable.
The basic framework of this paper is as follows. In Section 2, we recall some definitions and notations, present some results in the form of lemmas that will be useful in the proof of Theorem 1. The proof of Theorem 1 is presented in Section 3. In Section 4, we analyze the almost periodic Hill’s equation, Equation (9).
2. Some Preliminaries
Firstly, we present some definitions.
Definition 1.
We say a function f is quasi-periodic with the basic frequencies if where F is -periodic in for Moreover, if is analytic on , then is analytic quasi-periodic on .
If is analytic quasi-periodic, it can be expanded as a Fourier series
with Fourier coefficients
The norm is denoted as :
Assume is an matrix. If all are analytic quasi-periodic on with frequencies , then matrix is said to be analytic quasi-periodic on with frequencies .
The norm of is defined as
Obviously,
If R is a constant matrix, to simplify, we record as . The average of is , where
The details can be found in [16].
Definition 2.
A function f is said to be an almost periodic function if where are all quasi-periodic for
In [13], we see that “spatial structure” and “approximation function” are very powerful tools to study almost periodic systems. We provide the definitions and notions from [17,18].
Definition 3
([17]). If τ is a set of some subsets of , where is the set of natural numbers, then is said to be a finite spatial structure if τ meets the following conditions:
- 1.
- ;
- 2.
- If , then ;
- 3.
- , where is a weight function defined on τ, satisfying and .
Let . Write the support set of l as
Write the weight value as Denote
Definition 4
([18]). Δ is called an approximation function, if
- 1.
- is increasing, and is satisfied;
- 2.
- is decreasing on ;
- 3.
Remark 1.
If Δ is an approximation function, from Definition 4, it follows that is also an approximation function.
Definition 5.
Let . If are quasi-periodic matrix functions with basic frequencies , then is said to be an almost periodic matrix function with spatial structure and basic frequencies ω.
We also write the average of R(t) as , where
Let . For and ,
is the weighted norms with finite spatial structure . From [13], we can select the weighted function
Also, we will present some lemmas in this section, which are useful for the proof of our main result.
Lemma 1
([8]). Let be a function with and Then, and .
Lemma 2
([8]). Suppose that is an matrix with the eigenvalues , which satisfy and Let be a nonsingular matrix with , and ϱ is a value such that
If verifies then the following results hold:
- (1)
- has m different nonzero eigenvalues .
- (2)
- There is a nonsingular matrix such that , which satisfies where .
Lemma 3.
Consider the differential equation
where A is a constant matrix, which can be diagonalized and where the eigenvalues of A satisfy , and ξ is a positive constant. Also, is an analytic almost periodic function on , of which its frequencies are and spatial structure is . If
for all , . Set and Then, for Equation (10), there is a unique analytic almost periodic solution that has the same frequencies and spatial structure as and satisfies
where
Proof.
Make the change of variable , and let Equation (10) becomes
where .
From Definition 5, we have
Thus, from
we have
□
The following lemma is very useful in proving Theorem 1, in order to perform a step of the inductive procedure.
Lemma 4.
Consider the equation
where A is a Hamiltonian matrix with eigenvalues . Suppose and for and Furthermore, is analytic almost periodic on with frequencies and has finite spatial structure . Then, , and
for all Set and Then equation (12) has a unique analytic almost periodic Hamiltonian solution with , where has the same frequencies and spatial structure as , and satisfies
Proof.
Let and , where
Substitute these into (13). We have and
Since and are analytic on , we have
Thus,
By Definition 5, we have
Since,
Hence,
From now on, the symbol c is used to denote different constants.
Now, we verify that is Hamiltonian. Since A and are Hamiltonian, we have
where and are symmetric. Let . If is symmetric, then P is Hamiltonian. Now, we demonstrate that is symmetric. Substitute into Equation (12). We have
Lemma 5.
Consider the following Hamiltonian system:
where A is a matrix that can be diagonalized with the eigenvalues , and , is a constant. Assume that , and are analytic almost periodic on . Their frequencies are , and they have the spatial structure . Suppose that is analytic about x on , where Furthermore,
holds for all , and the constant . Let and Then, there exists a symplectic transformation that transforms (15) into
satisfing
and
where .
Proof.
The solution of Equation is denoted by . From Lemma 3, it follows that
By the symplectic transformation , Equation (15) is transformed into
where
and
From Lemmas 1 and 3, it follows that
and
The results are obtained. □
3. Proof of Theorem 1
3.1. The First KAM Step
In the first step, we will change A in the Equation (1) from the case with multiple eigenvalues into the case with different eigenvalues, and the of and become .
First of all, for Equation (1), by the symplectic transformation , where is the solution of
Hamiltonian system (1) is changed into
Here,
By the assumptions of Theorem 1 and Lemma 3, we have
where and . Define the average of by . Equation (16) is changed into
where
From the assumptions of Theorem 1, we see that the eigenvalues of are , which satisfy and
Introduce the transformation . By this symplectic transformation, system (18) is changed into
where
Expand and into
where
System (19) is rewritten as follows:
where
We would like to have
which is equivalent to
According to Lemma 4, if
for all where , then Equation (21) has a unique analytic almost periodic solution , its frequencies are , and it has a spatial structure , which satisfies
3.2. The mth KAM Step
The first step has been completed. That is, has different eigenvalues, and and are smaller perturbations. In the mth step, consider the Hamiltonian system
where are analytic almost periodic on , with frequencies and the same spatial structure . has different eigenvalues with
where we denote
By the symplectic transformation , where is solution of on , Hamiltonian system (24) becomes
where
By Lemma 3, if
we have
Define the average of by . Equation (25) is changed into
where
Denote the eigenvalues of by .
In making the change of variables , where is to be determined later, by the symplectic transformation, Hamiltonian system (27) becomes the new system
where
Expand and into
where
By Lemma 4, if
and
for then Equation (30) has a unique almost periodic Hamiltonian solution . Furthermore,
Hence, the symplectic changes of variables are
3.3. Iteration
In this section, we prove the convergence of the iteration as .
From the arbitrariness of and , we set as follows:
where and satisfy
Moreover, we choose
If we have
If is small enough, from [8], it follows that
From being convergent (see below), it follows that there exists such that . Thus, we have
We first estimate By Lemma 5, we have
Now, we estimate If , it follows that
Moreover, if by
for , we have
So,
From the representations of and , we have
Then by (36), we have
Set
and
From [18], and are all convergent as .
Let
and
Then, we have
If , then
Moreover, by (35), we obtain
Thus, That is, is convergent when . Let
Furthermore, if , we have
where , and is the nonsingular matrix in Lemma 2 satisfing
Therefore, from Lemma 2, it follows that the eigenvalues of are different. Moreover,
and
Next we present the proof of the above inequalities:
Thus, if , we have
Similarly, we obtain
Then,
Let Thus, is convergent on . Assume that as . By (32), we have
If , by (40), we have Since, , if ,
Since , then by (41), we obtain the convergence of Let Hence,
as .
Thus, under the transformation
3.4. Measure Estimate
Firstly, we prove that the following non-resonant conditions
and
hold for most small where .
Thus, there exists a non-empty Cantor subset such that for , there exists an almost periodic symplectic transformation
that changes (1) into
where has a positive Lebesgue measure, and and have the same basic frequencies and spatial structure as . The matrix B is a real constant, and as . Moreover, as . Therefore, we have completed the proof of Theorem 1.
4. Application
Now, we apply Theorem 1 to the almost periodic Hill’s equation
where is an analytic almost periodic function on with frequencies and has spatial structure . Denote the average of by .
Let , Equation (44) equivalently becomes of the form
In order to apply Theorem 1, we rewrite (45) as follows:
where
and and It is easy to see that A has multiple eigenvalues and that has two different eigenvalues and where Obviously,
and
hold, where . Thus, by Theorem 1, we have the result as follows.
Theorem 2.
Assume that is analytic almost periodic on with frequencies and has spatial structure . If and
holds for all , where the constant , and Δ is an approximation function.
Then, there exist small enough and the non-empty Cantor subset such that for , there exists an almost periodic symplectic transformation that changes (45) into a constant coefficient linear system. In addition, as
From Theorem 2, we see that, for most small Equation (44) is changed into a constant coefficient system. Hence, similar to Xue [12], by an analytic almost periodic transformation, Equation (44) is transformed into
where , which depends on and only. Obviously, Equation (47) is elliptic, so the equilibrium is Lyapunov stable for most small enough .
5. Conclusions
In this paper, we considered the reducibility of almost-periodic nonlinear Hamiltonian systems and proved that, for most small enough , system (1) was reduced to a Hamiltonian system with an equilibrium. The result was proved by using some non-resonant conditions, non-degeneracy conditions and the KAM iterations. Application to the almost periodic Hill’s equation was also presented.
Author Contributions
Conceptualization, N.X.; methodology, N.X.; writing-original draft preparation, N.X. and Y.S.; writing-review and editing, N.X. and Y.S.; supervision, Y.S. All authors have read and agreed to the published version of the manuscript.
Funding
This work is funded partially by the National Natural Science Foundation of China (12371256).
Data Availability Statement
No new data were created or analyzed in this study.
Conflicts of Interest
The authors declare no conflicts of interest.
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