Reducibility of linear quasi-periodic Hamiltonian derivative wave equations and half-wave equations under the Brjuno conditions
Zhaowei Lou

TL;DR
This paper extends KAM theory to prove the reducibility of certain linear quasi-periodic Hamiltonian PDEs, specifically derivative wave and half-wave equations, under Brjuno conditions, broadening the scope of Hamiltonian system analysis.
Contribution
It generalizes KAM theory from finite-dimensional systems to infinite-dimensional Hamiltonian PDEs under Brjuno non-resonance conditions.
Findings
Proves reducibility of derivative wave equations.
Establishes reducibility of half-wave equations.
Extends KAM theory to Hamiltonian PDEs.
Abstract
In this paper, we prove the reducibility for some linear quasi-periodic Hamiltonian derivative wave and half-wave equations under the Brjuno-R\"{u}ssmann non-resonance conditions. This generalizes KAM theory by P\"{o}schel in [38] from the finite dimensional Hamiltonian systems to Hamiltonian PDEs.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum chaos and dynamical systems · Nonlinear Waves and Solitons · Quantum Mechanics and Non-Hermitian Physics
Reducibility of linear quasi-periodic Hamiltonian derivative wave equations and half-wave equations under the Brjuno
conditions
Zhaowei Lou1,2111 E-mail: [email protected]
1School of Mathematics, Nanjing University of Aeronautics and Astronautics,
Nanjing 211106, China.
2MIIT Key Laboratory of Mathematical Modelling
and High Performance Computing of Air Vehicles,
Nanjing 211106, China.
Abstract
In this paper, we prove the reducibility for some linear quasiperiodic Hamiltonian derivative wave and halfwave equations under the BrjunoRüssmann nonresonance conditions. This generalizes KAM theory by Pöschel in from the finite dimensional Hamiltonian systems to Hamiltonian PDEs.
Keywords. Reducibility, KAM, Brjuno-Rüssmann condition.
2010 Mathematics Subject Classification: 37K55, 35L05, 35Q55.
1 Introduction and Main Result
The reducibility theory of linear quasi-periodic systems is the generalization of the classical Floquet theory for linear periodic systems. It is important both in the linear problems (spectral analysis of operator, growth of Sobolev norms) and in the non-linear case(linear stability analysis of quasi-periodic solutions of non-linear systems). The first reducibility result via Kolmogorov-Arnold-Moser (KAM) theory was due to Bogoljubov, Mitropoliskii and Samoilenko [11], Dinaburg and Sinai [16] for finite degrees of freedom systems. Since then KAM theory has been a powerful tool to study reducibility theory. In the late 1980s and early 1990s, KAM theory was extended to non-linear partial differential equations (PDEs) by Kuksin [31] and Wayne [47]. See also [33, 40, 41] for further developments. As a corollary, these results imply the reducibility of the variational equations for quasi-periodic solutions of non-linear PDEs. In fact, “reducibility is not only an important outcome of KAM but also an essential ingredient in the proof” ([20]).
The first pure reducibility result for linear quasi-periodic PDEs was given by Bambusi and Graffi [5]. They proved the reducibility of linear Schrödinger equations with unbounded perturbations. Eliasson and Kuksin [19] investigated the reducibility of higher dimensional linear quasi-periodic Schrödinger equations. Combining the pseudo-differential calculus, Baldi, Berti and Montalto [1, 2] obtained the reducibility of quasi-linear forced perturbations of Airy equation and quasi-linear KdV equation. Thereafter, these results are developed and extended widely. One could refer to [4, 3, 27, 28, 26, 34, 6, 9, 35, 37, 7, 8] and the references therein.
Consider a linear quasi-periodic PDE of the form
[TABLE]
where is a positive self-adjoint operator and is a operator-valued function with the basic frequencies It is well known that KAM reducibility requires a lower bound on small divisors of the form
[TABLE]
where and are the eigenvalues of the operator In all the above-mentioned papers, the lower bound of Diophantine type was used. Namely, the following non-resonance conditions holds: where the constants On the other hand, thanks to the pioneering works of Brjuno [12], the Diophantine conditions can be weakened to the Brjuno conditions. To make it applicable in KAM scheme, Rüssmann [42, 43] introduced the notion of an approximation function to characterize the Brjuno conditions. Under such Brjuno-Rüssmann type conditions, Pöschel [38] proved the persistence of elliptic lower dimensional tori in finite dimensional Hamiltonian systems. In [39], Pöschel also proved the existence of infinite dimensional invariant tori in infinite dimensional Hamiltonian systems of the form Later on, Xu and You [48] and Chavaudret and Marmi [14] proved the reducibility of linear ODEs with almost periodic coefficients and quasi-periodic cocycles under such Brjuno-Rüssmann type conditions, respectively. See also [29, 44, 45] for nonlinear forced ODEs. We also mention some Brjuno type quasi-periodic results of Corsi and Gentile [15] and Gentile [25] for forced non-Hamiltonian ODEs without using approximation function.
To the best of our knowledge, there has been no Brjuno-Rüssmann type results in KAM theory for PDEs. In this paper, we establish a reducibility theorem for some linear Hamiltonian PDEs under Brjuno-Rüssmann non-resonance conditions. More precisely, we consider the following linear quasi-periodic derivative wave equations
[TABLE]
and linear quasi-periodic half-wave equations
[TABLE]
under Dirichlet boundary conditions, where the first order pseudo-differential operators The basic fequencies of the potential satisfy the Brjuno-Rüssmann non-resonance conditions. The wave equation (1.3) covers the variational equation around the quasi-periodic solutions of nonlinear Hamiltonian derivative wave equation Quasi-periodic solutions with Diophantine frequencies of this nonlinear wave equation under periodic boundary conditions have been obtained in [10]. The half-wave equation (1.4) is an important class of PDEs arising in various physical problems [13, 30, 36, 17, 22]. There are two main difficulties when studying the reducibility theory of the equations (1.3) and (1.4). The first one is the weak dispersion relation since the eigenvalues The second one is the bad smoothness of the perturbations. To overcome this, we introduce a simplified version of Töplitz-Lipschitz functions and Töplitz-Lipschitz matrices, which were first proposed by Eliasson and Kuksin [20] in KAM theory for the higher dimensional Schrödinger equations. Such simplified form is more suitable to the equations (1.3) and (1.4) and it was also used in [23, 24]. Different from that in [23, 24], we characterize the Töplitz-Lipschitz functions in a way of semi-norm. We also mention the quasi-Töplitz functions introduced in [10] for nonlinear Hamiltonian derivative wave equations, which is also an improved version of Eliasson-Kuksin’s Töplitz-Lipschitz functions. Comparing to the quasi-Töplitz functions, our simplified form is more easy to handle.
To state our main results, we introduce some definitions and assumptions on the potentials in the equations (1.3) and (1.4).
Definition 1.1** (Approximation function, [38, 43]).**
A non-decreasing function
[TABLE]
is called an approximation function, if
[TABLE]
and
[TABLE]
in addition, the normalization is imposed for definition.
Definition 1.2** (Brjuno-Rüssmann frequency).**
Let be an approximation function. A vector is called Brjuno-Rüssmann frequency vector if it satisfies
[TABLE]
for some constant
Suppose the function is real analytic in For is a periodic, even function Then it can be written as
[TABLE]
Moreover, suppose for all the function extends to a complex analytic function on a strip for some For all the function extends to a complex analytic function on a strip on for some Then there is a positive constant such that for
[TABLE]
where the norm is defined in Section 2.
Let be the normalized Dirichlet eigenfunctions of the operator associated to the eigenvalues We consider the equations (1.3) and (1.4) in the following function space
[TABLE]
Our main result is stated as follows.
Theorem 1.1**.**
Under the Assumption 1 on the potential functions there is so that for all there exists of positive Lebesgue measure such that for all satisfying Brjuno-Rüssmann non-resonance conditions, the above linear quasi-periodic wave equation (1.3) and half-wave equation (1.4) reduce to the linear equations with constant coefficients with respect to the time variable.
In Section 5, we prove this theorem by the reducibility Theorem 4.1.
As a corollary of Theorem 1.1, we have the following conclusion concerning the solutions of the equations (1.3) and (1.4):
Corollary 1.1**.**
Let the initial data Under the Assumption 1, there is so that for all and ,
(i)* there exists a unique solution of the wave equation (1.3) with Moreover, is almost-periodic in time and stable, i.e.,*
[TABLE]
for some constant
(ii)* there exists a unique solution of the half-wave equation (1.4) with Moreover, is almost-periodic in time and stable, i.e.,*
[TABLE]
for some constant
2 Functional setting
Let be a parameter set of positive Lebesgue measure. Throughout the paper, for any real or complex valued function depending on parameters its derivatives with respect to are understood in the sense of Whitney. We denote by the class of Whitney differentiable functions on
Suppose we define its norm as
[TABLE]
where denotes the sup-norm of complex vectors.
Given an -torus and its complex neighborhood
[TABLE]
Consider a real analytic function on It is also on Its Fourier expansion reads then we define its norm as
[TABLE]
where and .
Let For above, its order Fourier truncation is defined as
[TABLE]
The remainder of is defined by Suppose we have the following estimate for
[TABLE]
The average of on is defined as
[TABLE]
Let , we introduce the Banach space of all real or complex sequences with
[TABLE]
Given we define the phase space
[TABLE]
and a complex neighborhood
[TABLE]
of in
Consider a real analytic function on which is also on Its Taylor-Fourier expansion reads
[TABLE]
where we use the multi-index notations with and have only finitely many nonzero components.
We define the majorant of as
[TABLE]
and the norm of as
[TABLE]
Consider an infinite dimensional dynamical system on
[TABLE]
where the vector field
[TABLE]
Suppose vector field is real analytic on and smooth on we define the weighted norm of as follows
[TABLE]
3 Töplitz-Lipschitz Functions
3.1 Definitions
In this section, we introduce a class of real analytic functions with exponentially off-diagonal decay.
Definition 3.1**.**
Let Suppose is real analytic on and smooth on parameters We say that is Töplitz-Lipschitz and write if
[TABLE]
where the semi-norm is defined by the following conditions
(T1) Exponentially off-diagonal decay.
[TABLE]
[TABLE]
[TABLE]
(T2) Asymptotically Töplitz.
The limits
[TABLE]
exist and are finite for all
(T3) Lipschitz at infinity.
For sufficiently large the following hold.
[TABLE]
[TABLE]
[TABLE]
Remark 3.1**.**
In fact, is the smallest non-negative real number that satisfies the above conditions Moreover, it satisfies
- •
**
- •
* for all *
- •
[TABLE]
Note that could not imply This means is only a semi-norm.
Remark 3.2**.**
From (T1) and (T3), the limits in (T3) satisfy
[TABLE]
[TABLE]
[TABLE]
Remark 3.3**.**
By the definition of the semi-norm , it is not difficulty to verify that the following conclusions hold:
(1)
* if *
(2)
* if *
(3)
Let then the Fourier truncation of satisfies
[TABLE]
and the remainder of satisfies
[TABLE]
if
Definition 3.2**.**
Let be the unilateral infinite sequences space defined by
[TABLE]
Given a real analytic function with we lift it from to by where and for all
We say that the function is Töplitz-Lipschitz and write if is Töplitz-Lipschitz and define
[TABLE]
Below we focus on a class of quadratic functions on of the form
[TABLE]
We study the Töplitz-Lipschitz property for these functions under the action of the Poisson bracket, the flow of linear Hamiltonian system and the canonical transformation.
Proposition 3.1** (Poisson bracket).**
Let and Suppose the quadratic functions then and there exists a constant so that
[TABLE]
Proof.
The Poisson bracket reads
[TABLE]
In what follows, it remains to analysis the second derivative with respect to and the other second derivatives could be similarly done.
Since the functions and are both quadratic on their third derivatives vanish. Then we have
[TABLE]
We first verify the property (T1) for It suffices to consider the sums and in (3.14), and the others can be similarly done.
Since the functions and satisfy the property (T1), then we have
[TABLE]
and
[TABLE]
here we use the inequality ( see Lemma 8.5, Appendix).
Verifying the property (T2) for From the above analysis, we know that the functional series and converge uniformly on Since the limits and exist and are finite, then the limits
[TABLE]
and
[TABLE]
also exist and are finite. This implies the property (T2) holds for
Finally, we verify the property (T3) for For the sake of convenience, we introduce the notations
[TABLE]
[TABLE]
and
[TABLE]
In view of and thanks to the difference equality
[TABLE]
and the inequality in Lemma 8.5, we have
[TABLE]
and
[TABLE]
These imply that
[TABLE]
∎
3.2 Töplitz-Lipschitz Matrices
Denote by the space of complex matrices. Let be any sub-multiplicative norm on Consider a bilateral infinite dimensional valued matrix
[TABLE]
[TABLE]
The matrix multiplication is defined by
Now we consider the matrices depend on
Definition 3.3** (Matrices with Töplitz-Lipschitz property).**
Let We say that a matrix on is Töplitz-Lipschitz and write if where the norm is defined by the following conditions:
(T1′) Exponentially off-diagonal decay**
[TABLE]
[TABLE]
[TABLE]
[TABLE]
(T2′) Asymptotically Töplitz**
The limits
[TABLE]
exist and are finite for all
(T3′) Lipschitz at infinity**
For sufficiently large the following hold.
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Definition 3.4**.**
Given a unilateral infinite dimensional valued matrix
[TABLE]
we lift it from to by
[TABLE]
We say that is Töplitz-Lipschitz and write if is Töplitz-Lipschitz and define
[TABLE]
The following conclusion indicate that is an algebra. This important property will be applied to Proposition 3.4.
Proposition 3.2**.**
Let Suppose the matrices Then their product and there exists a constant so that
[TABLE]
The proof is given in Section 8.2, Appendix.
3.3 Flow of linear Hamiltonian system
In this section, we study the Hamiltonian flow generated by a quadratic Töplitz-Lipschitz function
In the sequel, we use the notations with The Hessian of with respect to reads
[TABLE]
where
[TABLE]
Denote where
[TABLE]
then
[TABLE]
By the definitions of Töplitz-Lipschitz function and Töplitz-Lipschitz matrix, they have the following relation.
Lemma 3.3**.**
Let Suppose is a quadratic function on Then if and only if Moreover,
[TABLE]
The Hamiltonian equation associated to the quadratic function reads
[TABLE]
Under the new notation , the quadratic function can be rewritten as
[TABLE]
and the equation (3.33) reads
[TABLE]
The Jacobian (the derivative of with respect to ) is
[TABLE]
Proposition 3.4**.**
Let and Suppose the quadratic function and
[TABLE]
Then the solution of the equation (3.30) with initial condition satisfies for all Moreover, the Jacobian satisfies
[TABLE]
where the notation is the identity mapping.
Proof.
Since then remains unchanged.
Consider the equation for
[TABLE]
It is a linear system with constant coefficients, thus its solution is
[TABLE]
[TABLE]
Thus for all
[TABLE]
Consider the equation for By (3.30) and (3.34), we have
[TABLE]
The integral form of the above equation (3.35) is
[TABLE]
Then for all
[TABLE]
Thus the flow exists for all and it maps the domain to . Denote the solution then for and the solution
Now we prove the estimate (3.32). Rewrite the solution in (3.34) as
[TABLE]
where
[TABLE]
By Proposition 3.2 and Lemma 3.3, for all
[TABLE]
This completes the proof of the estimate (3.32).
∎
Proposition 3.5** (Canonical transformation).**
Let and where the Hamiltonian is a quadratic function. Assume that the Hamiltonian satisfies (3.31). Then the composition and there exists a constant so that
[TABLE]
Proof.
By Proposition 3.4, the time-1 mapping maps to
Since the mapping is linear in the Hessian Then the Hessian of with respect to becomes
[TABLE]
Note that then by Lemma 3.3 and Proposition 3.4, we have
[TABLE]
∎
4 A Reducibility Theorem under Brjuno Condition
Consider the following quadratic Hamiltonian with time quasi-periodic perturbation:
[TABLE]
where the space is the unilateral infinite sequences space defined in (3.11). The forcing frequency vector and the normal frequencies for all Then the associated linear Hamiltonian system reads
[TABLE]
Introducing the angle variables and the auxiliary action variables then we obtain an autonomous Hamiltonian system
[TABLE]
on the phase space with respect to the symplectic form
[TABLE]
The new Hamiltonian is
[TABLE]
Given in the following, we investigate Hamiltonian (4.4) on the domain The forcing frequency will play the role of parameters. Suppose in (4.4) is real analytic on and smooth in compact subset with positive Lebesgue measure. Furthermore, suppose Hamiltonian (4.4) satisfies the following assumptions.
(A1) Asymptotics of normal frequencies:
[TABLE]
where and there exist positive constants such that
**(A2) Non-resonance conditions: **
There exist a constant and some fixed approximation function such that uniformly on for all
[TABLE]
where
**(A3) Regularity: **
The Hamiltonian vector field of perturbation defines a map
[TABLE]
is real analytic in for each and is smooth in for each
**(A4) Töplitz-Lipschitz property: **
and for some
Denote
[TABLE]
Theorem 4.1**.**
Let be an approximation function such that
[TABLE]
If the Hamiltonian in (4.4) satisfies the above assumptions and there exists so that
[TABLE]
Then there exist
(i)
a Cantor subset with Lebesgue measure as ;
(ii)
*a *smooth family of real analytic, symplectic coordinate transformations of the form
[TABLE]
where with and are linear bounded operators on for all , and is also invertible;
(iii)
*a *smooth family of new normal forms
[TABLE]
such that on
[TABLE]
Moreover the new normal frequencies are close to the original ones
[TABLE]
and the the new frequencies satisfy a non-resonant condition: for all
[TABLE]
[TABLE]
5 Applications to some linear Hamiltonian PDEs
We give the proof of Theorem 1.1 by Theorem 4.1.
5.1 The Hamiltonian derivative wave equations
We consider the wave equation (1.3). Let
[TABLE]
Then the equation (1.3) is written as a non-autonomous Hamiltonian equation
[TABLE]
with the Hamiltonian
[TABLE]
Recall the function space in (1.10). Through the inverse discrete Fourier transform , the space can be identified with the space
We expand on the eigenfunctions
[TABLE]
with Then the equation (5.2) becomes
[TABLE]
where
[TABLE]
[TABLE]
Now we introduce the angle variables the auxiliary action variables and the complex coordinates via letting Then we obtain an autonomous Hamiltonian system
[TABLE]
on the phase space with respect to the symplectic form
[TABLE]
The Hamiltonian associated to the system (5.4) is
[TABLE]
where
[TABLE]
In the following, we check that the Hamiltonian (5.5) satisfies the assumptions (A1)-(A4). Let be that in Assumption 1.1 and be a suitable positive number. Take
(1)
Verifying the assumption (A1).
Since then we take Note that does not depend on thus and Take Since and then for all and we have and
(2)
Verifying the assumption (A2).
Take the vector then Let with Consider the function Thanks to we have
[TABLE]
By Lemma 8.6 in Appendix, we have
[TABLE]
It follows that the measure
[TABLE]
Thus there is a subset of positive Lebesgue measure with such that the assumption**(A2)** holds on
(3)
Verifying the assumption (A3).
The perturbation in (5.6) reads
[TABLE]
where
[TABLE]
Now we investigate the regularity of the perturbation vector field Note that the vector field does not depends on For the above we estimate the vector field norm
[TABLE]
We first estimate the sum
[TABLE]
For this purpose, it suffices to estimate each of three sums on the last line:
[TABLE]
Similarly, we have
[TABLE]
and
[TABLE]
This shows that
[TABLE]
We turn to the estimate for
[TABLE]
It suffices to consider
[TABLE]
By (5.8),
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Then
[TABLE]
By the similar argument, we get
[TABLE]
It follows that
[TABLE]
We conclude from (5.9) and (5.10) that
[TABLE]
Thus we complete the verification of the regularity for
(4)
Verifying the assumption (A4).
We verify satisfies Töplitz-Lipschitz property. During the verification of the assumption (A1), we have obtained where is a constant depending on It is evident that and
[TABLE]
[TABLE]
Taking we verify the perturbation
We first consider By (5.8), we have for
[TABLE]
Due to the limit exists and
[TABLE]
Moreover,
[TABLE]
Thanks to the exponentially decay of we also have
[TABLE]
where we use the inequality
As to the second derivative we consider the lift where and when (recall the Definition LABEL:liftF). Then
[TABLE]
When is sufficiently large, we have either or then and thus the limit It is obvious that
[TABLE]
and
[TABLE]
Similar argument also applies to the second derivative
It follows that and
5.2 The half-wave equations
Denote the inner product The half-wave equation (1.4) can be written as
[TABLE]
where the Hamiltonian
[TABLE]
We expand on the eigenfunctions
[TABLE]
(see (1.10) on the space ) where Then the equation (5.12) becomes
[TABLE]
where
[TABLE]
[TABLE]
To rewrite the above equation as an autonomous Hamiltonian system, we introduce the angle variables the action variables and the complex coordinates through
[TABLE]
Then we obtain an autonomous Hamiltonian system
[TABLE]
on the phase space with respect to the symplectic form
[TABLE]
The new Hamiltonian associated to the system (5.14) is
[TABLE]
where
[TABLE]
The next is the verification of the assumptions (A1)-(A4) for the Hamiltonian (5.15). Let be that in Assumption 1.1 and be a suitable positive number. Take
(1)
Verifying the assumption (A1).
Since then we take with thus Let It is obvious that for all and and
(2)
Verifying the assumption (A2).
Following the verification of the assumption (A2) in Section LABEL:DLW, we can also prove that there is a subset of positive Lebesgue measure with such that the assumption (A2) holds for (5.15) on
(3)
Verifying the assumption (A3).
The perturbation in (5.15) reads
[TABLE]
where
[TABLE]
Following the arguments in the verification of the assumption (A3) for the wave equation (1.3), one can prove that
[TABLE]
This shows the regularity of Hamiltonian vector field
(4)
Verifying the assumption (A4).
Let Thanks to it is obvious that
Now we verify By (5.16), we have
[TABLE]
Following the arguments in verifying the assumption (A4) in Section LABEL:DLW, we have the limit exists. Moreover,
[TABLE]
and
[TABLE]
This together with shows that the perturbation and
6 Proof of the reducibility Theorem 4.1
6.1 Basic strategy
The reducibility Theorem 4.1 is proved by KAM method. We construct a sequence of Hamiltonian of the form (4.4). Suppose the perturbation then we construct a symplectic coordinate transformation such that it transforms into a new Hamiltonian with new normal form and a smaller perturbation than the old perturbation
The above transformation is constructed via the flow generated by a quadratic Hamiltonian Taking and denoting , then
[TABLE]
The new normal form is defined as This leads to the following homological equation
[TABLE]
where the unknowns are and We solve this homological equation in the next section.
6.2 Solving the Homological equation
Consider the homological equation
[TABLE]
on where
[TABLE]
with the fixed tangential frequencies The normal frequencies satisfy (4.5). The Hamiltonian is a quadratic on of the form
[TABLE]
It does not depend on the action variables and satisfies We define its mean value with respect to by
[TABLE]
In the following, we use the notations
[TABLE]
Proposition 6.1**.**
Let and Suppose and satisfy the above conditions (A1)–(A2), then the homological equation (6.1) has the unique solutions and satisfying and the estimates
[TABLE]
[TABLE]
where the constant depends only on and
Proof.
We look for a Hamiltonian of the form
[TABLE]
Denote We take By the comparison of coefficients, the homological equation (6.1) is equivalent to the following scalar form: For all
[TABLE]
[TABLE]
and
[TABLE]
here
Consider the equation (6.7). For the equation (6.7) becomes
[TABLE]
then by Fourier expansion,
[TABLE]
and we obtain the form solution
[TABLE]
For by Fourier expansion, the equation (6.7) becomes
[TABLE]
and we obtain the form solution
[TABLE]
Now we give the estimate for Denote For all
[TABLE]
where the constant depends only on and
Then
[TABLE]
Similarly, we have
[TABLE]
[TABLE]
Note that the derivative
[TABLE]
then
[TABLE]
Similarly,
[TABLE]
For each by (6.10), the norm of the derivative is
[TABLE]
Similarly, we have
[TABLE]
and
[TABLE]
It follows that
[TABLE]
From (6.13), (6.14) and (6.15), we obtain the estimate for the Hamiltonian vector field
[TABLE]
The estimates of follow from the observation that is the diagonal of the mean value of
∎
The above lemma implies the estimate for the Jacobian
[TABLE]
Now we verify the Töplitz-Lipschitz property of the solutions of homological equation (6.1).
Proposition 6.2**.**
Suppose and satisfy the above conditions (A1)–(A2) and then there exists a constant such that for any the solutions and of homological equation (6.1) are Töplitz-Lipschitz on i.e., and
[TABLE]
[TABLE]
Proof.
The estimation of follows from the observation that is the diagonal of the mean value of In the following, we prove the estimation (6.17).
From (6.10) in the proof of Lemma 6.1, the second derivative of w.r.t. is
[TABLE]
We first verify the exponentially off-diagonal decay of
Since we have
[TABLE]
Then
[TABLE]
We then check the asymptotically Töplitz property of
Since and the limits exist and satisfy
[TABLE]
[TABLE]
Note that
[TABLE]
then for all the limits exist and satisfy the non-resonance conditions
[TABLE]
Denote For
[TABLE]
where the constant
Since the limit exists. Consider a similar equation to the equation (6.7):
[TABLE]
By the non-resonance conditions (6.21), the solution of the above equation exists:
[TABLE]
Moreover, similar to the estimate for in (6.11), we obtain
[TABLE]
thus
[TABLE]
Finally, we check that is Lipschitz at infinity.
By (6.10) and (6.22), we write the difference as
[TABLE]
where
[TABLE]
For the Whitney derivatives of with respect to are
[TABLE]
In view of and we have
[TABLE]
and for
[TABLE]
It follows that
[TABLE]
and
[TABLE]
Therefore,
[TABLE]
This together with shows that
[TABLE]
Similarly, we have
[TABLE]
and
[TABLE]
Thus we complete the proof of the estimation (6.17).
∎
6.3 KAM iteration and convergence
Let be a constant that is twice the maximum of all implicit constants used during the KAM step, and it depends only on and
We take the Hamiltonian in (4.4) as the initial Hamiltonian . Similarly, we set other initial quantities as those in Section 4. Namely, we set
For ,
[TABLE]
[TABLE]
Denote
[TABLE]
[TABLE]
Given with There exists a non-increasing positive sequence
[TABLE]
such that
[TABLE]
and
[TABLE]
see Appendix for the proof. For such a fixed sequence , we define
[TABLE]
and
[TABLE]
then
[TABLE]
The order of Fourier truncation is defined implicitly by
[TABLE]
Finally, we set
[TABLE]
and denote the domain It is obvious that
[TABLE]
Lemma 6.3** (Iterative Lemma).**
Let Given a sequence of parameter domains
[TABLE]
Suppose for the Hamiltonian are regular on where the normal forms
[TABLE]
with satisfies
[TABLE]
[TABLE]
on and the perturbation satisfies
[TABLE]
Then there exists a Whitney smooth family of real analytic symplectic transformations satisfying
[TABLE]
and a closed subset of
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
such that transforms into
[TABLE]
and on the domain and satisfy the conditions and
Proof.
The construction of symplectic transformation
Let be the Fourier truncation of order of Using the inequalities
[TABLE]
[TABLE]
and by Propositions 6.1 and 6.2, under the non-resonance conditions the homological equation
[TABLE]
has a set of unique solutions and satisfying the estimates
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
Since by the definition and by Lemma ? in Appendix, we have
[TABLE]
Then by Lemma 3.4, the flow generated by the Hamiltonian vector field exists on for all Taking it maps into
Now we prove the estimate (6.33).
[TABLE]
[TABLE]
The new Hamiltonian
Using the Taylor formula together with the homological equation (6.35), we define the new Hamiltonian
[TABLE]
where
[TABLE]
[TABLE]
with
The estimation for
We first consider the estimation for Note that
[TABLE]
Then
[TABLE]
We then consider the estimation for
[TABLE]
It follows that
[TABLE]
The new frequency and non-resonance condition.
In the new normal form the frequencies where Thus
[TABLE]
[TABLE]
[TABLE]
These imply
[TABLE]
Therefore,
[TABLE]
Finally, we consider the construction of . It suffices to verify
[TABLE]
By the definition of and we have
[TABLE]
This implies for all thus
[TABLE]
Then after removing the resonance zones for we get a closed set with the desired properties.
∎
The Convergence Proof.
By the iterative Lemma 6.3, we obtain a sequence of decreasing domains and symplectic transformations Then by (6.33) and following the arguments in [40], the sequence of symplectic transformations converge uniformly on to a real analytic torus embedding for which we also need to verify
(a)
the symplectic coordinate transformation is of the form given in (4.9);
(b)
the new Hamiltonian eventually reduces to the new normal form, i.e.,
(c)
the symplectic coordinate transformation , which is defined by Theorem 4.1 on each , extends to
In fact, by (3.34) and (3.36) in Section 3.36, the the symplectic coordinate transformation at the step has the form the form
[TABLE]
In particular, the linear operator is invertible. Then property (a) is satisfied at each step, and thus we can iterate the process. It follows that the limiting transformation also satisfies the property (a). Similar to the initial Hamiltonian, the transformed Hamiltonian is linear in and quadratic in which implies that the new Hamiltonian eventually reduces to the new normal form, i.e.,
Since is a linear symplectomorphism, then following Prop.1.3 ([32]) by duality, it extends on for all and thus the conclusion (c) holds if we take
The sequence of closed subset converges to a closed set
[TABLE]
By the construction of and we have and thus for all
[TABLE]
[TABLE]
The measure estimate of of bad frequencies is given in the next section.
6.4 Measure estimate
In this subsection, we complete the Lebesgue measure estimate of the parameter set In the process of constructing iterative sequences, we obtain a decreasing sequence of closed sets such that and
[TABLE]
where are defined in (6.34).
Below we only consider the most difficult resonance set The proof for other resonance sets are more simple, and thus omitted.
Since then by (6.30), there is a constant such that Denote Note that when
[TABLE]
thus in this case there is no small divisor, and in the following it remains to consider the case of
Denote
[TABLE]
[TABLE]
and introduce the following resonant sets
[TABLE]
Lemma 6.4**.**
For with , there exist satisfying and such that Consequently,
[TABLE]
Proof.
Without loss of generalization, we assume For given choosing a such that Let and , then
[TABLE]
It follows that (6.51) holds. ∎
Lemma 6.5**.**
For fixed
[TABLE]
Proof.
For suppose for some
From the Töplitz-Lipschitz property of and , we conclude that
[TABLE]
Then
[TABLE]
Thus
[TABLE]
We give the estimate of Taking the vector then Let with Let
[TABLE]
Due to and the derivative
[TABLE]
Then by Lemma 8.6, one has
[TABLE]
It follows that, by Fubini’s theorem,
[TABLE]
Similarly, for the resonant set following the argument of estimating we have
[TABLE]
Then
[TABLE]
Using (6.53) and (6.55), we complete the proof.
∎
Finally, we give the estimate of
Lemma 6.6**.**
Let be an approximation function satisfying (4.8),i.e., Then the total measure of resonant set should be excluded during the KAM iteration is
[TABLE]
where the implicit constants in depend only on and are made explicit in the proof.
Proof.
By Lemma 6.5,
[TABLE]
Then
[TABLE]
Consequently, the measure of the set is
[TABLE]
∎
Remark 6.1**.**
Below we list three typical approximation functions: and
7 Acknowledgments
The author wishes to thank Prof. Jiansheng Geng for valuable comments and suggestions. The research was supported by the National Natural Science Foundation of China (NSFC) (Grant No. 11901291) and the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20190395).
8 Appendix
8.1 Some properties of approximation functions
Lemma 8.1**.**
For all integers
[TABLE]
where
Proof.
Let
[TABLE]
Its derivative
[TABLE]
If then
[TABLE]
It follows that arrive at its supremum at some point with Therefore, for all
[TABLE]
∎
Recall defined in (6.24):
[TABLE]
where
Lemma 8.2**.**
The defined in (6.24) is finite for all In particular, let if
[TABLE]
then
[TABLE]
Proof.
Let and
[TABLE]
for By condition (1.5) and the hypotheses, and
[TABLE]
Since for then by condition (1.5) again the supremum of is obtained on the interval and thus smaller than It follows that
[TABLE]
in view of the definition of and hence by
[TABLE]
∎
Lemma 8.3**.**
[TABLE]
provided that as
Proof.
Note that
[TABLE]
Let Then By the monotonicity of approximation functions the sum above may be written as a Stieltjes integral
[TABLE]
by partial integration. From the proof of Lemma 8.3 in [38],
[TABLE]
this prove the lemma. ∎
Lemma 8.4**.**
There are approximation functions such that
[TABLE]
for all sufficiently large with some constant
Proof.
For
[TABLE]
for all Hence
[TABLE]
for every approximation function
For
[TABLE]
Let be given by and define by stipulating that is the inverse function of at least for large and respectively. Let Since
[TABLE]
by the monotonicity of then
[TABLE]
For all large and
[TABLE]
Thus, for all large
[TABLE]
here The final estimate follows, since as and
∎
8.2 Proof of Proposition 3.2
Proof.
We only give the proof for the estimate of and , the proofs for the estimates of and are similar.
By the matrix multiplication, we have
[TABLE]
and
[TABLE]
Verifying the property (T1′**). In view of and the inequality in Lemma 8.5, we have
[TABLE]
and
[TABLE]
Verifying the property (T2′). In view of then following the verification of Property (T1′), we have
[TABLE]
and
[TABLE]
These imply the property (T2) holds.
Verifying the property (T3′**). Denote and Similarly for other terms.
Then by the difference equality (3.15) and the inequality in Lemma 8.5, we have
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
∎
8.3 Some Technical Lemmas
Lemma 8.5**.**
[TABLE]
where is a positive constant that depends on and does not depend on
Lemma 8.6**.**
[43]** Let be a times continuously differentiable function satisfying
[TABLE]
for some and Then we have the estimate
[TABLE]
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] P. Baldi, M. Berti, and R. Montalto. KAM for quasi-linear and fully nonlinear forced perturbations of Airy equation. Math. Ann. , 359(1-2):471–536, 2014.
- 2[2] P. Baldi, M. Berti, and R. Montalto. KAM for quasi-linear Kd V. C. R. Math. Acad. Sci. Paris , 352(7-8):603–607, 2014.
- 3[3] D. Bambusi. Reducibility of 1-d Schrödinger equation with time quasiperiodic unbounded perturbations, II. Comm. Math. Phys. , 353(1):353–378, 2017.
- 4[4] D. Bambusi. Reducibility of 1-d Schrödinger equation with time quasiperiodic unbounded perturbations. I. Trans. Amer. Math. Soc. , 370(3):1823–1865, 2018.
- 5[5] D. Bambusi and S. Graffi. Time quasi-periodic unbounded perturbations of Schrödinger operators and KAM methods. Comm. Math. Phys. , 219(2):465–480, 2001.
- 6[6] D. Bambusi, B. Grébert, A. Maspero, and D. Robert. Reducibility of the quantum harmonic oscillatorin d-dimensions with polynomial time-dependent perturbation. Analysis & PDE , 11(3):775–799, 2018.
- 7[7] D. Bambusi, B. Langella, and R. Montalto. Reducibility of non-resonant transport equation on 𝕋 d superscript 𝕋 𝑑 \mathbb{T}^{d} with unbounded perturbations. Ann. Henri Poincaré , 20(6):1893–1929, 2019.
- 8[8] D. Bambusi, B. Langella, and R. Montalto. Growth of Sobolev norms for unbounded perturbations of the Schrödinger equation on flat tori. J. Differential Equations , 318:344–358, 2022.
