Reducibility of the dispersive Camassa-Holm equation with unbounded perturbations
Abstract.
Considered herein is the reducibility of the quasi-periodically time dependent linear dynamical system with a diophantine frequency vector . This system is derived from linearizing the dispersive Camassa-Holm equation with unbounded perturbations at a small amplitude quasi-periodic function. It is shown that there is a set of asymptotically full Lebesgue measure such that for any , the system can be reduced to the one with constant coefficients by a quasi-periodic linear transformation. The strategy adopted in this paper consists of two steps: (a) A reduction based on the orders of the pseudo differential operators in the system which conjugates the linearized operator to a one with constant coefficients up to a small remainder; (b) A perturbative reducibility scheme which completely diagonalizes the remainder of the previous step. The main difficulties in the reducibility we need to tackle come from the operator , which induces the symplectic structure of the dispersive Camassa-Holm equation.
July 27, 2022
Keywords: Reducibility, the Camassa-Holm equation, integrable system, invariant tori, unbounded perturbation.
Mathematics Subject Classification (2020): 35Q51, 37K55
1. Introduction
In this paper, we are mainly concerned with the reducibility of the quasi-periodically time dependent linear dynamical system
where are small functions, and is a diophantine frequency vector. The above system arises from linearizing the dispersive Camassa-Holm (CH) equation with unbounded perturbations on the circle at a small amplitude quasi-periodic function.
There have been a number of literatures to study reducibility of ordinary differential equations (ODEs) and partial differential equations (PDEs). Indeed, the concept of reducibility originates from ODEs (see [11, 26, 38, 40] and the references therein). The problem of reducibility of quasi-periodic linear systems in the PDE’s context has received much attention, mostly in a perturbative regime in these years [5, 6, 27, 37, 49].
A quasi-periodic linear system
(1.1) |
is said to be reducible, if there exists a bounded invertible change of coordinates depending on time quasi-periodically: such that the transformed system is a linear one with constant coefficients, namely,
Notice that, if is purely imaginary, then the system is linear stable.
In the periodic case, i.e. , the classical Floquet theory shows that any time periodic linear system (1.1) is reducible. In the quasi-periodic case, this is not always true, see e.g., [13]. However, if is a so-called almost-reducible quasi-periodic vector field in the sense that it can be reduced to the one with constant coefficients up to a small remainder, viz., the linear differential equation of the form
where is a linear quasi-periodically forced operator with non-constant coefficients and is the size of the perturbation, then the quasi-periodic system is reducible by perturbative reducibility algorithm. In general, it is assumed that is small enough, and satisfy the second-order Melnikov non-resonance conditions involving the differences of the eigenvalues of the operator .
Among the literatures that related to reducibility, a strong motivation of a vast of them is the reducible KAM theory. As is well known, the KAM theory for PDEs is to find a family of approximately invariant tori of perturbed autonomous integrable equation. It is a natural extension of the classical KAM theory for finite dimensional phase spaces. For PDEs in one spacial dimension with bounded perturbations and Dirichlet boundary conditions, we refer to [43, 45, 51, 53], and for those with periodic boundary conditions, we quote [16, 23] for instance. In higher spacial dimension, we mention [10, 12, 28, 35, 52] among others in which the authors have to overcome the difficulties produced by the multiple eigenvalues. In all these aforementioned results, the perturbations are bounded. In the case of unbounded perturbations, we mention [8, 9, 42, 44, 48, 54] among others for semi-linear PDEs, and [2, 3, 4, 7, 32, 36] for quasi-linear or fully nonlinear PDEs. In particular, these results with regard to the KAM theory involve the quasi-linear perturbations of the Airy, KdV equations, etc.
The CH equation
(1.2) |
describes the unidirectional propagation of shallow water waves over a flat bottom [14, 22, 34, 41], where is a function of time and a single spatial variable . Equation (1.2) is proved to be completely integrable since it admits the Lax-pair and bi-Hamiltonian structure [14, 15, 33, 34, 46]. We refer to [21, 47] and references therein for more literature for the study of the well-posedness of the CH-equation. A tremendous amount of work has been done on strong nonlinear effects of the CH-equation, such as peakon, multi-peakons [1, 14] and wave-breaking phenomena [17, 18, 19, 20, 21, 47].
Note that is a constant for soluitions of the CH-equation (1.2), the set
is invariant under the flow governed by (1.2). Consequently, the dynamics of equation (1.2) on the invariant subsets with are equivalent to the ones of the equation
on the invariant subset . We assume without loss of generality and impose the unbounded perturbations of the form
where , and denotes a function with a zero of order at least three at the origin. Then the equation we are concerned with is the perturbed dispersive CH-equation
(1.3) |
under periodic boundary condition: .
The Degasperis-Procesi equation [24] exhibits several similar properties as the CH equation, for example, wave breaking phenomena, peakon and soliton solutions [22, 25]. However, the Hamiltonians and symplectic structures are intrinsically different. In [31], the authors developed the KAM theory for Hamiltonian perturbations of the Degasperis-Procesi equation.
At the best of our knowledge, up to now there is no work to study the KAM theory and the reducibility of the CH equation with a small perturbation, which was also emphasized in [31]. In fact, the reducibility of the linearized equations at a small quasi-periodic approximate solutions is the fundamental step for the existence and linear stability of quasi-periodic solutions (KAM tori) for nonlinear PDEs via the Nash-Moser iterative algorithm. This motivates us to study the reducibility of the CH-equation.
Let us first introduce the Hamiltonian setting for the CH-equation and its linearized equation at a small quasi-periodic function.
Equation (1.3) can be formulated as a Hamiltonian PDE of the form , where and is the gradient of the Hamiltonian
defined on the real phase space . The symplectic structure is provided by a non-degenerate 2-form defined by
Note that can be written as
The functional space be concerned is the Sobolev space equipped with the norm
where , If depends on a parameter , where is a compact subset of , we define the sup-norm and Lipschitz semi-norm of respectively as follows:
where
For , the weighted Lipchitz norm of is defined as
Let , the sup-norm, Lipschitz semi-norm and weighted Lipchitz norm of are defined respectively as
In the sequel, we fix . For all , the Sobolev space is a Banach algebra.
Notation. Throughout the paper, the notation indicates that for some positive constant depending on the variables . will be omitted in the notation while is a fixed constant. As usual, the positive constants ’s may be different from line to line.
Fix , , let , the frequency vector of oscillations satisfies the diophantine condition, i.e., , where
(1.4) |
(1.5) |
A quasi-periodic function with frequencies is defined by an embedding
with the frequency vector . Then a small-amplitude quasi-periodic solution of equation (1.3) can be represented as
The linearized equation of (1.3) at the quasi-periodic solution is
(1.6) |
where , , depend on the the parameter in a Lipschitz way, as well as on the quasi-periodic function . The operator associated with the above equation is
(1.7) | ||||
It is noticed that this operator is a Hamiltonian operator, and exhibits the reversible structure.
One can check that the operator has the form where is a pseudo differential operator of order (see Definition A.2). Therefore, it is a new type of operator different from the ones for the KdV and Degasperis-Procesi equations, etc.
In the following, we consider a class of generalized linear operators of the form
(1.8) |
Now we make the following assumptions for the operators :
(A1). , , are even functions, .
(A2). There exists a positive constant sufficiently large such that
(1.9) |
(A3). Assume that , , depend on in a Lipschitz way, satisfying
(1.10) |
for some .
(A4). Assume that , , depend on the quasi-periodic function . Let satisfying (1.9) and
for any , where for any .
The main goal in this paper is to prove that the linear operators (1.8) arising from the linearized CH-equation with unbounded perturbations at a small and sufficiently smooth quasi-periodic function on are reducible.
It is well known that the most common algebraic structures that ensure the existence of quasi-periodic motions are the Hamiltonian or reversible structures. The system considered here exhibits both of them. From the perspective of the Hamiltonian structure, we have to find symplectic transformations induced by the flow of the vector field generated by a Hamiltonian function. The flow is given by , where is a pseudo differential operator of order (see Definition A.2) so as to guarantee the transformations are bounded. The solution of the flow is of the form: for some , while is a pseudo differential operator of order . Unfortunately, can not change the leading order terms of the operator (1.8). Thus in order to prove the reducibility of the system, we utilize the reversible structure and choose the transformations preserving the reversible structure.
It is remarked that for the Degasperis-Procesi equation, the operator associated with the symplectic structure is a pseudo differential operator of order 1, which is also true for the KdV equation. Nevertheless, for the CH-equation, is a pseudo differential operator of order . Such difference needs us to develop a different strategy to verify the corresponding reducibility.
The existence and stability of the solution for the Cauchy problem of the linearized equation (1.6) are also the direct results of this paper (see Corollary 1.1). The stability entails the purely-imaginary eigenvalues of the diagonal operator. Indeed, the reversible structure ensures that the eigenvalues of the diagonal matrices are all purely-imaginary.
The reducibility result for the linearized CH-equation (1.3) at a small and sufficiently smooth quasi-periodic function is as follows.
Theorem 1.1.
Suppose small enough, with sufficiently large, and the linear operator in (1.7) defined on . Then there exist and a Cantor-like set , for all and , and a real, invertible, bounded and reversibility-preserving transformation depending quasi-periodically on time which reduces to a diagonal operator with constant coefficients and purely imaginary spectrum. Moreover, as , the Lebesgue measure tends to 0.
The following corollary indicates the dynamical consequence of Theorem 1.1.
Corollary 1.1.
In the case of , Theorem 1.1 is a conclusion of the following result.
Theorem 1.2.
(Reducibility) Let (see (1.4)). Suppose that the operator in (1.8) satisfies the assumptions (A1)-(A4) for some constant sufficiently large. Assume that are small enough, , , and for some positive constant . Then there exists a sequence
where depend on in a Lipschitz way satisfying
For all , where
there exists a real linear, bounded, Töplitz-in-time transformation with bounded inverse such that for all ,
is real and reversible. The transformations are reversibility-preserving and satisfy the following tame estimates:
In addition, for ,
Finally, the following estimate holds for
We explain the key ideas and the outline of this paper as follows.
In Section 2, we introduce some fundamental definitions, notations and lemmas. Particularly, we introduce the classes of Lip--modulo-tame linear operators (see Definition 2.6) and study their properties which will be used in Section 4. The reduction procedure is split into two sections.
In Section 3, we perform the regularization procedure. This step consists in conjugating in (1.8) to the linear operator which is a small bounded regularizing perturbation of a constant coefficient. This is achieved by applying a suitable quasi-periodically change of variables depending on time so that the highest order (order 1) term has a constant coefficient. Meanwhile, the term of order 0 is eliminated. Then we extract the terms that is not "small" from the ones of order , to constitute the diagonal part. This is the content of Theorem 3.1.
In Section 4, the KAM reducibility scheme is proposed. After the preliminary reduction of the order of derivatives, we can perform a KAM reducibility scheme to complete the diagonalization, see Theorem 4.1. We use the Lip--modulo-tame constants to estimate the size of the remainders along the iteration. This is convenient since the class of Lip--modulo-tame operators are closed under the composition (Lemma 2.5), the solution map of the homological equation (Lemma 4.1) and the projections (Lemma 2.7). As a matter of fact, the properties mentioned above also hold for Lip--modulo-tame operators (see Definition 2.5). The reason to adopt Lip--modulo-tame operators instead of Lip--modulo-tame operators is that we require that is small enough in order to prove the relations between the bad sets and in (5.1).
In Section 5, we give the measure estimate for the set . Therefore, the operator in (1.8) can be reduced to the one with constant coefficients for almost all in the sense of Lebesgue measure. At the same time, Corollary 1.1 is verified.
Finally, in the appendices, we introduce some classes of linear operators which are mentioned in the paper, such as pseudo-differential operators, the classes of operators . The classical results for the change of variable are provided as well.
2. Preliminaries
In this section, we elaborate some conceptions, notations and lemmas, which will be used in the subsequent sections.
Definition 2.1.
(Majorant function) Given a function of the form
the majorant function of is defined as
It is obvious that the Sobolev norms of and are equal, namely,
The following lemma is an important property of and .
Lemma 2.1.
In the following, we introduce a class of operators, whose matrix representations are Töplitz in time, and the relevant properties.
Definition 2.2.
(Linear operators) Let be a -dependent family of linear operators acting on . We regard as a linear operator acting on defined by
In Fourier coordinates, the action is represented as
(2.1) |
Definition 2.3.
Given a linear operator as in (2.1), we define the following operators:
(1). , called majorant operator, whose matrix elements are
(2). , called smoothed operator, whose matrix elements are
We also denote
(2.2) |
(3). , whose matrix elements are
(4). , whose matrix elements are
(5). , whose matrix elements are
Lemma 2.2.
Let be two linear operators as in (2.1).
(1). For any , we have .
(2). If for any and , , then
Definition 2.4.
Let , denote the set of real functions, even functions and odd functions, respectively. An operator is called
(1) real, if .
(2) reversible, if .
(3) reversibility-preserving, if and .
In terms of matrix coefficients, the above definitions are equivalent to the following:
(1). is real .
(2). is reversible .
(3). is reversibility-preserving .
Notation. If a linear operator depends on the variable , we denote
If depends on the parameter , we denote
Definition 2.5.
Definition 2.6.
(Lip--modulo-tame operators) [30, 31] If is Lip-0-modulo-tame, we say is Lip--modulo-tame, where
is the Lip--modulo-tame constant for the operator or modulo-tame constant for short.
If is Lip--modulo-tame, viz. is Lip-0-modulo-tame, we set
Remark 2.1.
In the following, we collect several properties of the Lip--modulo-tame operators.
Lemma 2.3.
Let be a Lip--modulo-tame operator with modulo-tame constant:
Then
Moreover, if depends on in a Lipschitz way, then
Proof.
Lemma 2.4.
Assume for any .
(1). If is a Lip--modulo-tame operator with modulo-tame constant and there exists such that for all , then is a Lip--modulo-tame operator as well and we can choose the modulo-tame constant of such that
for some constant .
(2). If is an operator satisfying , then
Proof.
Lemma 2.5.
(Sum and composition) [30] Let be two Lip--modulo-tame operators with modulo-tame constants respectively and . Then
(1). is Lip--modulo-tame with modulo-tame constant
(2). The composed operator is Lip--modulo-tame with modulo-tame constant
(3). Assume in addition that and are Lip--modulo-tame operators with modulo-tame constants
respectively, then is Lip--modulo-tame with modulo-tame constant
Lemma 2.6.
(Invertibility) [30] Let , where and are both Lip--modulo-tame operators. If there exists a constant such that the smallness condition
holds, then the operator is invertible, and are Lip--modulo-tame operators with modulo-tame constants
Lemma 2.7.
(Smoothing) [30] Assume that and are two Lip--modulo-tame operators with modulo-tame constants respectively Then the operator is Lip--modulo-tame with modulo-tame constant
Lemma 2.8.
Let .
(1). Suppose that and are two Lip--modulo-tame operators. Then
and
(2). If is a linear operator such that , then
and
Proof.
(1). Since
then we have
and
Thus the first bound is derived from Lemma 2.4. The second one can be proved similarly. The third one has been verified in [30].
(2). For any , we consider the unit vector
It follows that
Meanwhile,
Therefore the first inequality holds. The last one follows by Lemma 2.2. ∎
The next two lemmas will be used in the proof of Proposition 4.1-.
Lemma 2.9.
Let be two linear operators such that
and
Then the following estimates hold:
and
Proof.
In view of Lemma 2.2, we just need to prove the above inequalities in terms of matrix elements. For the first inequality, one obtains
Regarding the second bound, one can check that
The third estimate follows by
For the last inequality, from (2.2) it follows that
and for ,
∎
As a conclusion of this lemma, we have the following result.
Lemma 2.10.
Let , , such that
Then the operators are invertible, and satisfy
and
3. Regularization
In this section, our goal is to conjugate the linear operator in (1.8) to the operator in (3.11) which is a time-dependent diagonal operator up to a remainder whose norm is controlled by for some . Notice that we will discuss this conjugation in the generalized -variable phase space instead of temporarily in Section 3 and 4, see Remark 4.1.
The change of variable that we construct in this section is of the type:
It can be viewed as acting on the -variable phase spaces that depend quasi-periodically on time.
The operator associated with the system (1.1) acting on quasi-periodic functions is
Under the action of transformation , system (1.1) is transformed into the new one
(3.1) |
Meanwhile, the operator associated with system (3.1) is
In particular, we consider a -dependent family of diffeomorphisms of the 1-dimensional torus of the form where is a sufficiently smooth function to be determined. The change of the space variable induces the linear operator :
(3.2) |
Note that the operator is invertible, with the inverse
where is such that is the inverse of the diffeomorphism of the 1-dimensional torus .
To determine the conjugated operator , we need the following result.
Proposition 3.1.
(Conjugation) Let be compact. Given For the linear operators in (1.8), are real constants,
are even and real valued functions depending on in a Lipschitz way and also on the variable . There exist positive constants such that if
(3.3) |
then under the invertible map in (3.2), is conjugated to the real operator
(3.4) |
where
For all , the remainder where (see Definition A.2) and (see Definition B.1) satisfies the estimates:
(3.5) |
Moreover, for , there hold
(3.6) |
Finally, if is an odd function, then are reversibility-preserving, are reversible.
Proof.
For the multiplication operator , the conjugate
is still a multiplication operator.
For the differential operators, one can directly verify the following results:
where
Note that all the coefficients are functions of . A direct computation implies
where
Here we use the notations for succinct writing:
In fact, can be reduced to by exploiting the following formulas:
Note that consists of all the terms of pseudo differentials of order . Extracting from the terms which are not "small", precisely, the terms which are irrelevant to or , we obtain
where the remainder is given by
In order to get a sharp estimate for , its structure should be explored. According to the assumption, there exist such that if (3.3) is satisfied, then for , the following estimates hold.
From Lemma C.1, we have by (C.9) and by (C.7), and
It follows from (C.10) that
and from (C.8) we derive
By Lemma 2.1, (C.10) and , we obtain
From , we deduce that
In view of (A.4)-(A.5) and Lemma A.2, the following estimates hold:
According to Lemma B.1, the small condition of the operator is fulfilled. Hence we have
where . They satisfy the following inequalities:
Hence has the decomposition: , where
Then from Lemma A.2, it follows that
From Lemma B.2, we also have and
Recall Definition 2.4, let , then if is odd. Indeed,
The proof of the case for is similar. Therefore, is reversibility-preserving. Due to the reality of , is real. By replacing with , is also real and reversibility-preserving.
Finally we prove is real and reversible. In fact, is real due to the reality of and . Meanwhile, it is reversible since is reversible and are reversibility-preserving. In view of the reality and reversibility of the opearators
and , is real and reversible. Thus we complete the proof. ∎
In [29], the reducibility of a class of linear first-order operators on tori has been proved as shown in the next proposition, i.e. the so-called straightening theorem. Thanks to this theorem, we choose an appropriate function such that the coefficient of the highest order spatial derivative operator of in (3.4) is a constant.
Proposition 3.2.
(Straightening theorem)[29] Let be a compact subset of , and be a family of vector fields on
where is Lipschitz in and also depends on the variable . There exists such that if
(3.7) |
then there exists with
such that for all , where
(3.8) |
one has
and there exists a real and smooth map and a constant satisfying
so that is a diffeomorphism of and for all ,
Furthermore, if is even, then is an odd function.
Remark 3.1.
Theorem 3.1.
(Regularization) Let and fix . Suppose for some , the conditions (A1)-(A4) are satisfied with . Then there exists a constant which depends on in a Lipschitz way and the variable with
(3.9) |
such that for all in the set
(3.10) |
there exists a real bounded linear operator such that
(3.11) |
where the remainder with satisfies
(3.12) |
For , and , the following estimates hold:
and
(3.13) |
In addition, if depends in a Lipschitz way on , then
(3.14) |
Finally, the maps are real and reversibility-preserving, while are real and reversible.
Proof.
Set , , in Proposition 3.2, in (1.9) large enough and in (1.10) small enough, then the condition (3.7) is satisfied. From Proposition 3.2, we derive that there exists a constant defined on and a function on such that
In addition, they satisfy the following estimates:
and for ,
From Proposition 3.1, setting , , we deduce that
After renaming the space variable , we obtain (3.11).
According to Proposition 3.1, the remainder , where and , satisfies the following inequalities:
for ,
for
for , and
for . Hence there exist such that the inequalities (3.12)-(3.13) hold.
Furthermore, if depends on in a Lipschitz way, it follows from (C.10) for that
4. Diagonalization
The purpose of this section is to completely diagonalize the linear operator in (3.11). The proof is carried out by exploiting an iterative KAM scheme.
First we assume that
(4.1) |
We now consider a linear operator , where
(4.2) |
and depends on in a Lipschitz way satisfying
(4.3) |
In the sequel, we fix
(4.4) |
We assume that are defined on in (3.10) and they are Lip--modulo-tame with modulo-tame constants
(4.5) |
Additionally, , and also depend on the variable . For and some constant , there hold
(4.6) |
and
(4.7) |
Now we introduce some notations: , is large enough, for . Clearly, .
4.1. Iterative reduction
Proposition 4.1.
(Iterative reduction) Assume , . If there exist large enough such that
(4.8) |
then the following results hold:
(1)n. For all , there exists a sequence of operators
(4.9) |
where are defined on satisfying
and
(4.10) |
The operators are defined on , where ,
(4.11) |
and and are Lip--modulo-tame satisfying
(4.12) |
For and , there holds
(4.13) |
Meanwhile, are real and reversible operators.
(2)n. For , there exists a real linear bounded invertible Töplitz-in-time map defined on such that
and are Lip--modulo-tame satisfying
In addition, for any with , it follows that
Furthermore, and are real and reversibility-preserving.
(3)n. For , for any with , we have
(4.14) |
For all , , there holds
(4)n. Let . For all , if , then
4.2. Proof of Proposition 4.1
We argue by induction on .
Recalling , and , the estimates in (1)0 and (3)0 hold. Since are real, it follows from (4.2) that is real and odd in . In (3)0, we note that (4)0 is trivial, because .
4.2.1. The reducibility step
Now assuming the thesis holds for , we prove that it holds also for . First we show how to define and . By the assumptions of the induction, we have
(4.15) | ||||
where and are defined in Definition 2.3.
Solving the following so-called homological equation
(4.16) |
we have
Lemma 4.1.
(Homological equation) For all , there exists a unique solution of the homological equation. and are Lip--modulo-tame operators and the modulo-tame constants satisfy
(4.17) |
(4.18) |
For any with , there hold
(4.19) |
(4.20) |
Moreover, are real and reversibility-preserving.
Proof.
For , (4.16) is tantamount to the following equation:
whose unique solution is
(4.21) |
Note that for all , the divisors are nontrivial, so the above formula is well defined.
In the following, we only prove the case of , the result holds for the other cases obviously.
It follows from (4.21) that
For any ,
Using , (4.3) and (4.10), we obtain
From (4.1), we derive that
In addition, for any with , we have
In view of (4.1), (4.6) and (4.14), we obtain
(4.22) |
Therefore
by noticing that . As a consequence of Lemma 2.4 and (4.1), (4.19) is satisfied.
Finally, since are real, , and is real, we have
which implies that is real.
Since is reversible,
is reversibility-preserving. Whence are real and reversibility-preserving as well. ∎
4.2.2. The iteration
By Lemma 2.3, (4.5), (4.12), (4.14) and (4.19)-(4.20), we deduce that
(4.24) |
Due to (4.4), (4.8) and (4.23), it follows that
(4.25) |
Appling Lemma 2.6 to , the map is invertible and
(4.26) |
In the following, we denote . According to Lemma 4.1, is real and reversibility-preserving. Therefore, are real and reversibility-preserving as well.
The fact that is real and reversible implies that
from which we derive that is purely imaginary and odd in . By the Kirszbraun theorem, can be extended to the whole preserving Lipschitz weighted norm . The extended function will be denoted by . is purely imaginary and odd in as well. We define
(4.28) |
By inductive hypothesis, are real and odd in .
In view of Lemma 2.8, (4.12) and (4.28), it follows that
Note that . Summing the telescopic series, (4.10) follows by (4.5) for instead of . Moreover, is real and reversible since is real and reversible and are reversibility-preserving. is real because all the components in (4.27) are real. Also it is reversible because are reversible and are reversibility-preserving.
Let us establish the estimates (4.12) for . Owing to (4.17), (4.25)-(4.27), Lemma 2.5 and Lemmas 2.7-2.8, we have
Note that the iterative terms are quadratic plus a super-exponentially small term. By (4.4), (4.8) and (4.12), one gets
In order to obtain the estimates for , we make some preparations at first. Exploiting (4.8), (4.12) and (4.17)-(4.18), we obtain
(4.29) |
Notice that . Using Lemmas 2.5-2.7, (4.8), (4.12), (4.25)-(4.26) and (4.29), we have
. For any with , in view of Lemma 2.8, (4.14) and (4.28), it follows that
Recall that . Summing all the terms above, one obtains
By Lemma 2.3 and (4.23), provided that is large enough, the smallness condition in Lemma 2.10 is satisfied. Therefore by Lemmas 2.3, 2.6, 2.10, (4.8) and (4.23)-(4.25), we have
(4.30) |
From (4.27), we derive that
By Lemmas 2.3, 2.6-2.9, (4.4), (4.8), (4.12), (4.14), (4.23)-(4.24), (4.26) and (4.30), one gets
and
4.3. Diagonalization theorem
Theorem 4.1.
(Diagonalization) Assume . There exist where is given in Theorem 3.1, such that if satisfies the small condition in (1.9) with and
(4.32) |
Then the following results hold:
(1). For , there exists a sequence
(4.33) |
where depends on in a Lipschitz way satisfying
(4.34) |
(2). For all , where is defined in (3.10) and
there exists a linear bounded Töplitz-in-time transformation with bounded inverse such that in (3.11) is conjugated to a constant-coefficient operator, viz.
The transformations satisfy the following tame estimates for :
(4.35) |
Moreover, for ,
(4.36) |
Finally, and are real and reversibility-preserving, while is real and reversible.
Proof.
Let in Theorem 3.1 and , . It remains to prove that the initial assumptions for iteration: (4.5) and (4.7) hold. Indeed, by Lemmas A.4 and B.3, there exists such that if (1.9) is satisfied with the choice of , we have
(4.37) |
and
where . Therefore, and are Lip--modulo-tame operators satisfying (4.5) and (4.7) for .
The smallness condition (4.8) in Proposition 4.1 follows by the smallness condition on in (4.32). From (4.13) in Proposition 4.1, we derive that for all , the sequences , in (4.9) are Cauchy sequences. Indeed, by (4.5) and (4.13),
It implies that the sequences and have the limits and respectively. Furthermore, let , one obtains
(4.38) |
In particular, when , we have
Therefore (4.34) holds. By (4.14) and (4.38), let , (4.36) follows from the inequalities
Now we need to verify that
For , , in view of (4.38), we obtain
Hence for any , . Thus the sequence is well defined on .
We define . Noting that , from Lemma 2.5 and (4.23), it follows that
Iterating the above inequality implies
(4.39) |
For the high norm, from Lemma 2.5, (4.23) and (4.39), we derive
Iterating the above estimates and using (4.8), (4.23) and
we obtain
(4.40) |
Therefore, in the topology induced by the operator norm, as a result of Lemma 2.3, is a Cauchy sequence and the limit exists. Let in (4.41), we deduce that
Also we have
Accordingly,
Let , then (4.35) follows from (4.5), (4.37), Lemma 2.3 and Lemma 2.6.
Since all the ’s are real and reversibility-preserving, it is true also for and . From the fact that is real and reversible, we derive that is real and reversible too. ∎
Remark 4.1.
The discussion in these two preceding sections is based on the phase space . In fact, through the almost word-by-word reasoning as in Lemma 4.8 in [3], isomorphically. Since is defined on , we restrict to the smaller phase space .
5. Measure estimates
For , let us define
(5.1) |
In the following, we assume . If not, then and the following results hold trivially.
We need some preliminary results as follows.
Lemma 5.1.
Assume and . If there exists a positive constant such that then
where .
Proof.
Lemma 5.2.
If and , then there exists a positive constant such that . If , then for some positive constant .
Proof.
Recalling that which is a compact set defined in (1.5), we use the notation to denote the maximum value of . If , then there exists such that
By Lemma 5.1, (3.9) and (4.33)-(4.34), one obtains
Therefore,
Setting , we have .
We prove the second result of this lemma by contradiction. If , let us assume that . Recalling (1.4), one has
This leads to a contradiction. Whence , from which we have , where . ∎
Lemma 5.3.
Proof.
From now on, we fix , .
Lemma 5.4.
There exists such that for any , if , then .
Proof.
Theorem 5.1.
Let be the set of parameters in Theorem 4.1. Then there exists some constant such that
Proof.
Proof.
Proof.
(Proof of Corollary 1.1) Under the action of the transformation , (1.6) is transformed into which amounts to For each , we solve that . So the unique solution for the transformed system is
Due to the definition of the norm of , we have . Then from and the bounds for in Theorem 1.2, we deduce that
where the constants and depend on . ∎
Acknowledgments. The work of Wu is supported by the National NSF of China Grant-11631007. The work of Fu is supported by the National NSF of China Grants-11471259 and 11631007 and the National Science Basic Research Program of Shaanxi Province (Program No. 2019JM-007 and 2020JC-37). The work of Qu is supported by the National NSF of China Grants-11631007, 11971251 and 12111530003.
Appendix A Lip--tame operators and pseudo differential operators
In this appendix, we review the definitions and the basic facts and the properties of the Lip--tame operators and the pseudo differential operators.
Definition A.1.
The following lemma is an important property of the Lip--tame operators.
Lemma A.1.
Definition A.2.
(Pseudo differential operators) [39] Let . A linear operator is called pseudo differential operator of order if its action on any with is given by
where , called the symbol of , is the restriction to of the function which is -smooth on and satisfies
(A.1) |
We denote the pseudo differential operator with symbol by , i.e., . We define the class as the set of pseudo differential operators of order at most and the class as the set of symbols satisfying (A.1).
In the present paper, we consider the -dependent families of pseudo differential operators
where is -smooth on
Definition A.3.
[39] Let , we define
(A.2) |
The norm defined above controls the regularity in in the Sobolev norm and the decay in of the symbols .
If with symbol depending on the parameter in a Lipschitz way, we define the weighted Lipschitz norm
(A.3) |
We point out that the norms defined in (A.2) and (A.3) are both non-decreasing in and non-increasing in . Moreover, for a symbol independent of ,
(A.4) |
If the symbol depends only on , we simply have
(A.5) |
We present some important properties of the pseudo differential operators.
Lemma A.2.
Lemma A.3.
(1). If , then there exist such that
(2). If is Lipschitz in the parameter and , then is a Lip-0-tame operator with tame constant
The above lemma implies that the norm controls the action of a pseudo differential operator on the Sobolev spaces .
The next lemma exhibits the connection between the class and the class of Lip--modulo-tame operators. It is a direct consequence of Lemma C.8 and Lemma C.10 in [31].
Lemma A.4.
Assume , with its symbol depending on in a Lipschitz way and on as well. Then and are Lip--modulo-tame operators with modulo-tame constants
Moreover,
Appendix B The operators
We first introduce the classes of operators which are sufficiently smooth in the -variable.
Definition B.1.
[30, 31] Given with possibly , , . We denote by the set of the linear operators , with the following properties:
(1). The operator A is Lipschitz in .
(2). For all with and for any ,
(i). The operator is Lip-0-tame for any , and . We set
(ii). The operator is Lip-0-tame for any , and . We set
We denote for
(3). Suppose that the set and the operator depend on , and are well defined for for all satisfying (1.9). For , and for all with ,
(i). is a bounded operator on in itself for any , and . More precisely, there is a positive constant such that for any ,
(ii). is a bounded operator on in itself for any , and . More precisely, there is a positive constant such that for any ,
We define for
Lemma B.1.
Let , with and consider the operator . There exists a constant such that if
where is the fixed constant in Definition B.1, then is invertible and
where . Moreover, for all , the following estimates hold:
Proof.
Lemma B.2.
Let and . Then . Moreover, for all ,
for , and
for .
Proof.
For , let , we have
Note that is a pseudo-differential operator of order . By Lemma A.2, Lemma A.3 and (A.4)-(A.5), it follows that
Then by Lemma A.1, the Lip-0-tame constant of satisfies
In addition, let , we deduce that
For the second summand, by the similar discussion as above, it implies that
For the first summand,
Note that is a pseudo differential operator of order , from Lemma A.2, Lemma A.3, and (A.4)-(A.5), we deduce that
Then by Lemma A.1, we obtain
For the proof of the second result, we only need to notice that
and
The proof for is similar. ∎
We now show the connection between the class and the class of Lip--modulo-tame operators. It can be directly derived from Lemma C.8 and Lemma C.10 in [31].
Lemma B.3.
Assume satisfy , . Then and are Lip--modulo-tame operators with modulo-tame constants
Moreover,
Appendix C Change of variable
The following classical lemma states that the composition operator induced by a diffeomorphism of the torus is tame.
Lemma C.1.
(1). is a diffeomorphism, its inverse is with and
(C.6) |
Moreover, suppose that depends on a parameter and for all . Then the following estimate holds:
(C.7) |
(2). If , then , and
Moreover, suppose that depends on a parameter and suppose that for all . Then the following estimate holds:
(C.8) |
(3). Suppose that depends in a Lipschitz way on a parameter and . Then is also Lipschitz in , and
(C.9) |
(C.10) |
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