Global well-posedness of $3$-D anisotropic Navier-Stokes system with small unidirectional derivative
Yanlin Liu, Marius Paicu, Ping Zhang

TL;DR
This paper establishes the global well-posedness of the 3-D anisotropic Navier-Stokes system with horizontal dissipation, assuming small unidirectional derivatives of initial data in a specific scaling invariant space.
Contribution
It extends previous results to the anisotropic case with only horizontal dissipation, proving global existence under smallness conditions on the unidirectional derivative.
Findings
Global unique solution exists under small unidirectional derivative condition.
The result applies to initial data in the Besov space 0,.
The approach generalizes prior isotropic Navier-Stokes results to anisotropic systems.
Abstract
In \cite{LZ4}, the authors proved that as long as the one-directional derivative of the initial velocity is sufficiently small in some scaling invariant spaces, then the classical Navier-Stokes system has a global unique solution. The goal of this paper is to extend this type of result to the 3-D anisotropic Navier-Stokes system with only horizontal dissipation. More precisely, given initial data has a unique global solution provided that is sufficiently small in the scaling invariant space
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Global well-posedness of -D anisotropic Navier-Stokes system with
small unidirectional derivative
Yanlin Liu
Academy of Mathematics Systems Science and Hua Loo-Keng Center for Mathematical Sciences, Chinese Academy of Sciences, Beijing 100190, CHINA.
,
Marius Paicu
Laboratoire de Mathmatique, Université Paris Sud, Bâtimet 425, 91 405 Orsay, FRANCE.
and
Ping Zhang
Academy of Mathematics Systems Science and and Hua Loo-Keng Key Laboratory of Mathematics, Chinese Academy of Sciences, Beijing 100190, CHINA, and School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Abstract.
In [15], the authors proved that as long as the one-directional derivative of the initial velocity is sufficiently small in some scaling invariant spaces, then the classical Navier-Stokes system has a global unique solution. The goal of this paper is to extend this type of result to the 3-D anisotropic Navier-Stokes system with only horizontal dissipation. More precisely, given initial data has a unique global solution provided that is sufficiently small in the scaling invariant space
Keywords: Anisotropic Navier-Stokes system, Littlewood-Paley theory, well-posedness
AMS Subject Classification (2000): 35Q30, 76D03
1. Introduction
In this paper, we investigate the global well-posedness of the following -D anisotropic Navier-Stokes system:
[TABLE]
where designates the velocity of the fluid and the scalar pressure function which guarantees the divergence free condition of the velocity field.
Systems of this type appear in geophysical fluid dynamics (see for instance [5, 18]). In fact, meteorologists often modelize turbulent diffusion by putting a viscosity of the form: , where and are empirical constants, and is usually much smaller than . We refer to the book of Pedlovsky [18], Chap. for a complete discussion about this model.
Considering system has only horizontal dissipation, it is reasonable to use functional spaces which distinguish horizontal derivatives from the vertical one, for instance, the anisotropic Sobolev space defined as follows:
Definition 1.1**.**
For any in , the anisotropic Sobolev space denotes the space of homogeneous tempered distribution such that
[TABLE]
Mathematically, Chemin et al. [4] first studied the system In particular, Chemin et al. [4] and Iftimie [13] proved that is locally well-posed with initial data in for some , and is globally well-posed if in addition
[TABLE]
for some sufficiently small constant .
Notice that just as the classical Navier-Stokes system
[TABLE]
the system has the following scaling invariant property:
[TABLE]
which means that if is a solution of with initial data on , determined by (1.2) is also a solution of with initial data on .
It is easy to observe that the smallness condition (1.1) in [4] is scaling invariant under the scaling transformation (1.2), nevertheless, the norm of the space is not. To work with initial data in the critical spaces, we first recall the following anisotropic dyadic operators from [2]:
[TABLE]
where or denotes the Fourier transform of , while designates the inverse Fourier transform of , and are smooth functions such that
[TABLE]
Definition 1.2**.**
We define to be the set of homogenous tempered distribution so that
[TABLE]
The above space was first introduced by Iftimie in [12] to study the global well-posedness of the classical 3-D Navier-Stokes system with initial data in the anisotropic functional space. The second author [16] proved the local well-posedness of with any solenoidal vector field and also the global well-posedness with small initial data in This result corresponds to the Fujita-Kato’s theorem ([11]) for the classical Navier-Stokes system. Moreover, the authors [17, 19] proved the the global well-posedness of with initial data satisfying
[TABLE]
for some sufficiently small.
Although the norm of is scaling invariant under the the scaling transformation (1.2), yet we observe that the solenoidal vector field
[TABLE]
is not small in the space no matter how small is. In order to find a space so that the norm of given by (1.5) is small in this space for small Chemin and the third author [8] introduced the following Besov-Soblev type space with negative index:
Definition 1.3**.**
We define the space to be the set of a homogenous tempered distribution so that
[TABLE]
Chemin and the third author [8] proved the global well-posedness of with initial data being small in the space In particular, this result ensures the global well-posedness of with initial data given by (1.5) as long as is sufficiently small. Furthermore the second and third authors [17] proved the global well-posedness of provided that the initial data satisfies
[TABLE]
for some sufficiently small. We remark that this result corresponds to Cannone, Meyer and Planchon’s result in [3] for the classical Nvaier-Stokes system, where the authors proved that if the initial data satisfies
[TABLE]
for some greater than and some constant small enough, then is globally well-posed. The end-point result in this direction is due to Koch and Tataru [14] for initial data in the space of
On the other hand, motivated by the study of the global well-posedness of the classical Navier-Stokes system with slowly varying initial data [6, 7, 9], the first and third authors proved the following theorem for in [15]:
Theorem 1.1**.**
Let for some with . There exists a universal small positive constant such that if
[TABLE]
where
[TABLE]
then has a unique global solution u\in C\bigl{(}\mathop{\mathbb{R}\kern 0.0pt}\nolimits^{+};H^{\frac{1}{2}}\bigr{)}\cap L^{2}\bigl{(}\mathop{\mathbb{R}\kern 0.0pt}\nolimits^{+};H^{\frac{3}{2}}\bigr{)}.
We remark that Theorem 1.1 ensures the global well-posedness of with initial data
[TABLE]
for which was first proved in [6]. We mention that the proof of Theorem 1.1 requires a regularity criteria in [10], which can only be proved for the classical Navier-Stokes system so far.
Motivated by [15] and [17, 19], here we are going to study the global well-posedness of with initial data satisfying being sufficiently small in some critical spaces.
The main result of this paper states as follows:
Theorem 1.2**.**
Let be a Fourier multiplier with symbol let be a solenoidal vector field with Then there exist some sufficiently small positive constant and some universal positive constants so that for \mathfrak{A}_{N}\bigl{(}\|u^{\rm h}_{0}\|_{{\mathcal{B}}^{0,\frac{1}{2}}}\bigr{)} given by (3.5) if
[TABLE]
has a unique global solution with and where
We remark that all the norms of in (1.9) is scaling invariant under the scaling transformation (1.2). With regular initial data, we may write explicitly the constant \mathfrak{A}_{N}\bigl{(}\|u^{\rm h}_{0}\|_{{\mathcal{B}}^{0,\frac{1}{2}}}\bigr{)}. For instance,
Corollary 1.1**.**
Let be a solenoidal vector field with and Then there exist some sufficiently small positive constant and some universal positive constants so that if
[TABLE]
has a unique global solution as in Theorem 1.2. **
Remark 1.1**.**
We have several remarks in order as follows about Theorem 1.2:
- (a)
It follows from **[8]** that
[TABLE]
so that the smallness condition (1.9) and (1.10) can also be formulated as
[TABLE]
and
[TABLE]
- (b)
Due to we find
[TABLE]
Therefore the smallness condition (1.9) is of a similar type as (1.4). Yet Roughly speaking, (1.9) requires only and to be small in some scaling invariant space, but without any restriction on . Thus the smallness condition (1.9) is weaker than (1.4).
- (c)
Let be a smooth solenoidal vector field, we observe that the following data
[TABLE]
satisfies (1.4) for sufficiently small.
While since our smallness condition (1.12) does not have any restriction on for any smooth vector field satisfying we find
[TABLE]
satisfy (1.12) for any sufficiently small. Therefore Theorem 1.2 ensures the global well-posedness of with initial data given by (1.13). Compared with (1.8), which corresponds to in (1.13), this type of result is new even for the classical Navier-Stokes system.
- (d)
Given , we deduce from Proposition 1.1 in **[8]** that
[TABLE]
As a result, we find that for any , the following class of initial data
[TABLE]
satisfies the smallness condition (1.11) for small enough , and hence the data given by (1.14) can also generate unique global solution of .
- (e)
Since all the results that work for the anisotropic Navier-Stokes system should automatically do for the classical Navier-Stokes system Theorem 1.2 holds also for .
Let us end this section with some notations that will be used throughout this paper.
Notations: Let be two operators, we denote the commutator between and for , we means that there is a uniform constant which may be different in each occurrence, such that . We shall denote by the inner product of and designates a generic elements on the unit sphere of , i.e. . Finally, we denote the space and .
2. Littlewood-Paley Theory
In this section, we shall collect some basic facts on anisotropic Littlewood-Paley theory. We first recall the following anisotropic Bernstein inequalities from [8, 16]:
Lemma 2.1**.**
Let (resp. ) a ball of (resp. ), and (resp. ) a ring of (resp. ); let and Then there holds
[TABLE]
Definition 2.1**.**
For any , let us define the Chemin-Lerner type norm
[TABLE]
In particular, we denote
[TABLE]
We remark that the inhomogeneous version of the anisotropic Sobolev space can be continuously imbedded into Indeed for any integer , we deduce from Lemma 2.1 that
[TABLE]
Taking the integer so that in the above inequality leads to
[TABLE]
Along the same line, we have
[TABLE]
To overcome the difficulty that one can not use Gronwall’s inequality in the Chemin-Lerner type norms, we recall the following time-weighted Chemin-Lerner norm from [17]:
Definition 2.2**.**
Let , . We define
[TABLE]
In order to take into account functions with oscillations in the horizontal variables, we recall the following anisotropic Besov type space with negative indices from [8]:
Definition 2.3**.**
For any we define
[TABLE]
In particular, we denote
[TABLE]
In the sequel, for we shall frequently use the following decomposition:
[TABLE]
Lemma 2.2** (Lemma in [8]).**
For any there holds
[TABLE]
Definition 2.4**.**
Let us define
[TABLE]
In view of the 2-D interpolation inequality that
[TABLE]
we find
[TABLE]
Similarly, we have
[TABLE]
Before preceding, let us recall Bony’s decomposition for the vertical variable from [1]:
[TABLE]
Sometimes we shall also use Bony’s decomposition for the horizontal variables.
Let us now apply the above basic facts on Littlewood-Paley theory to prove the following proposition:
Proposition 2.1**.**
For any there holds
[TABLE]
Proof.
In view of (2.3) and Definition 2.3, we get, by applying (2.6), that
[TABLE]
Then it remains to prove (2.8) for Indeed in view of Definition 2.4, we write
[TABLE]
Applying Bony’s decomposition for the horizontal variables yields
[TABLE]
We observe that
[TABLE]
Whereas we get, by using Young’s inequality, that
[TABLE]
As a result, it comes out
[TABLE]
and
[TABLE]
Along the same line, we can prove that the second term in (2.9) shares the same estimate. This ensures that (2.8) holds for We thus complete the proof of the proposition. ∎
3. Sketch of the proof
Motivated by the study of the global large solutions to the classical 3-D Navier-Stokes system with slowly varying initial data in one direction ([6, 7, 9, 15]), here we are going to decompose the solution of as a sum of a solution to the two-dimensional Navier-Stokes system with a parameter and a solution to the three-dimensional perturbed anisotropic Navier-Stokes system. We point out that compared with the references [6, 7, 9, 15], here the 3-D solution to the perturbed anisotropic Navier-Stokes system will not be small. Indeed only its vertical component is not small. In order to deal with this part, we are going to appeal to the observation from [17, 19], where the authors proved the global well-posedness to 3-D anisotropic Navier-Stokes system with the horizontal components of the initial data being small (see the smallness conditions (1.4) and (1.6)).
For we first recall the two-dimensional Biot-Savart’s law:
[TABLE]
where and
In particular, let us decompose the horizontal components of the initial velocity of as the sum of and And we consider the following 2-D Navier-Stokes system with a parameter:
[TABLE]
Concerning the system (3.2), we have the following a priori estimates:
Proposition 3.1**.**
Let with Then (3.2) has a unique global solution so that for any time , there hold
[TABLE]
and
[TABLE]
where
[TABLE]
and is taken so large that \bigl{\|}\bar{u}^{\rm h}_{0,N}\bigr{\|}_{{\mathcal{B}}^{0,\frac{1}{2}}} is sufficiently small.
The proof of Proposition 3.1 will be presented in Section 4.
Remark 3.1**.**
Under the assumptions that with and we have the following alternative estimates for (3.3) and (3.4)
[TABLE]
and
[TABLE]
We shall present the proof in Remark 4.1.
We notice that
[TABLE]
which satisfies and yet is not small according to our smallness condition (1.9).
Before proceeding, let us recall the main idea of the proof to Theorem 1.1 in [15]. The authors [15] first constructed via the system (3.2). Then in order to get rid of the large part of the initial data given by (3.8), the authors introduced a correction velocity, through the system
[TABLE]
With and being determined respectively by the systems (3.2) and (3.9), the authors [15] decompose the solution to the classical Navier-Stokes system as
[TABLE]
The key estimate for states as follows:
Proposition 3.2**.**
Let be a Fujita-Kato solution of We denote and
[TABLE]
Then under the assumption (1.7), there exists some positive constant such that
[TABLE]
Then in order to complete the proof of Theorem 1.1, the authors [15] invoked the following regularity criteria for the classical Navier-Stokes system:
Theorem 3.1** (Theorem 1.5 of [10]).**
Let be a solution of . If the maximal existence time is finite, then for any in , one has
[TABLE]
We remark that Theorem 3.1 only works for the classical 3-D Navier-Stokes system. Therefore the above procedure to prove Theorem 1.1 can not be applied to construct the global solutions to the 3-D anisotropic Navier-Stokes system.
On the other hand, we remark that the main observation in [17, 19] is that: by using can be equivalently reformulated as
[TABLE]
so that al least seemingly the equation is a linear one. And this explains in some sense why there is no size restriction for in (1.4) and (1.6).
Motivated by [17, 19], for being determined by the systems (3.2), we decompose the solution of as . It is easy to verify that the remainder term satisfies
[TABLE]
We notice that under the smallness condition (1.9), the horizontal components, are small in the critical space Then the crucial ingredient used in the proof of Theorem 1.2 is that the horizontal components of the remainder velocity keeps small for any positive time.
Due to the additional difficulty caused by the fact that belongs to the Sobolev-Besov type space with negative index, as in [8], we further decompose as
[TABLE]
And then solves
[TABLE]
Proposition 3.3**.**
Let be a smooth enough solution of (3.14) on . Then there exists some positive constant so that for any we have
[TABLE]
and
[TABLE]
The proof of the estimates (3.17) and (3.18) will be presented respectively in Sections 5 and 6. Now let us admit the above Propositions 3.1 and 3.3 temporarily, and continue our proof of Theorem 1.2.
Proof of Theorem 1.2.
It is well-known that the existence of global solutions to a nonlinear partial differential equations can be obtained by first constructing the approximate solutions, and then performing uniform estimates and finally passing to the limit to such approximate solutions. For simplicity, here we just present the a priori estimates for smooth enough solutions of
Let be a smooth enough solution of on with being the maximal time of existence. Let and be determined by (3.2) and (3.14) respectively. Thanks to (3.1) and Proposition 3.1, we first take large enough and small enough in (1.9) so that
[TABLE]
We now define
[TABLE]
Then thanks to (3.19) and Proposition 3.3, for we find
[TABLE]
and
[TABLE]
It follows from Lemma 2.2 and Proposition 2.1 that
[TABLE]
Whereas we deduce from (2.6) and Proposition 3.1 that
[TABLE]
By inserting the above two inequalities to (3.22) and using (3.3), we obtain that for
[TABLE]
Then we deduce that for
[TABLE]
Inserting the above estimates into (3.21) gives rise to
[TABLE]
for Therefore, if we take large enough and small enough in (1.9), we deduce from (3.24) that
[TABLE]
(3.25) contradicts with (3.20). This in turn shows that (3.23) along with (3.25) shows that Moreover, thanks to (3.15), we have with This completes the proof of our Theorem 1.2. ∎
Proof of Corollary 1.1.
Under the assumptions that with and we deduce from (3.1), (3.4) and (3.7) that
[TABLE]
Then by repeating the argument from (3.19) to (3.24), we conclude the proof of Corollary 1.1. ∎
4. Estimates of the 2-D solution
The goal of this section is to present the proof of Proposition 3.1. Let us start the proof by the following lemma, which is in the spirit of Lemma 3.1 of [6].
Lemma 4.1**.**
Let be a smooth enough solution of
[TABLE]
Then for any and any fixed there holds
[TABLE]
and
[TABLE]
Proof.
By taking inn-product of (4.1) with and using we obtain (4.2).
While by applying to (4.1) and then taking inner product of the resulting equation with we find
[TABLE]
Due to we get, by applying (2.4), that
[TABLE]
Applying Young’s inequality yields
[TABLE]
Inserting the above estimate into (4.4) gives rise to
[TABLE]
Applying Gronwall’s inequality and using (4.2), we achieve
[TABLE]
which leads to (4.3). This completes the proof of this lemma. ∎
Let us now present the proof of Proposition 3.1.
Proof of Proposition 3.1.
For any positive integer and being given by (3.5), we split the solution to (3.2) as
[TABLE]
with and being determined respectively by
[TABLE]
and
[TABLE]
We first deduce from Lemma 4.1 that
[TABLE]
which together with (2.2) ensures that
[TABLE]
Next we handle the estimate of . To do it, for any we denote
[TABLE]
Then by multiplying \exp\Bigl{(}-\kappa\int_{0}^{t}f^{\rm h}(t^{\prime})\,dt^{\prime}\Bigr{)} to the equation in (4.7), we write
[TABLE]
Applying the operator to the above equation and taking inner product of the resulting equation with and then using integration by parts, we get
[TABLE]
The estimate of the second line of (4.10) relies on the following lemma, whose proof will be postponed in the Appendix A:
Lemma 4.2**.**
Let and . Then for any smooth homogeneous Fourier multiplier, of degree zero and any , there hold
[TABLE]
Moreover, for non-negative function one has
[TABLE]
By applying (4.13) with and \mathfrak{f}=\exp\Bigl{(}-\kappa\int_{0}^{t}f^{\rm h}(t^{\prime})\,dt^{\prime}\Bigr{)}, we get
[TABLE]
Whereas due to (2.5), one has
[TABLE]
By applying (4.12) with , we infer
[TABLE]
Then we get, by first integrating (4.10) over and inserting (4.14) and (4.15) into the resulting inequality, that
[TABLE]
Multiplying the above inequality by and taking square root of the resulting inequality, and then summing up the inequalities for we arrive at
[TABLE]
In particular, taking in the above inequality gives rise to
[TABLE]
On the other hand, in view of (3.5), we can take so large that
[TABLE]
Then a standard continuity argument shows that, for any time , there holds
[TABLE]
Due to the definition of given by (4.9), one has
[TABLE]
which together with (4.8) and (4.18) implies that
[TABLE]
By combining (4.8) with (4.19), we obtain (3.3).
It remains to prove (3.4). In order to do, for any we denote
[TABLE]
Then by multiplying to the equation in (3.2), we write
[TABLE]
Applying the operator to the above equation and then taking inner product of the resulting equation with we get
[TABLE]
Noting that is a bounded Fourier multiplier, we get, by using (4.11) with and that
[TABLE]
By integrating (4.21) over and then inserting the above estimate into the resulting inequality, we find
[TABLE]
Multiplying the above inequality by and taking square root of the resulting inequality, and then summing up the inequalities for we arrive at
[TABLE]
In particular, taking in the above inequality gives rise to
[TABLE]
Then a similar derivation from (4.18) to (4.19) leads to
[TABLE]
which together with (3.3) ensures (3.4). This completes the proof of this proposition. ∎
Remark 4.1**.**
For smoother initial data we may write explicitly the constant \mathfrak{A}_{N}\bigl{(}\|\bar{u}^{\rm h}_{0}\|_{{\mathcal{B}}^{0,\frac{1}{2}}}\bigr{)} in (3.3). For instance, if with and , we deduce from Lemma 4.1 that
[TABLE]
which together with (2.2) and
[TABLE]
ensures (3.6). By virtue of (3.6) and (4.22), we deduce (3.7).
5. The estimate of the horizontal components
The goal of this section is to present the proof of (3.17), namely, we are going to deal with the estimate to the horizontal components of the remainder velocity determined by (3.14).
In order to do so, let be a smooth enough solution of on let and be determined respectively by (3.2), (3.15) and (3.16), for any constant , we denote
[TABLE]
and similar notations for and .
By multiplying \exp\Bigl{(}-\lambda\int_{0}^{t}f(t^{\prime})\,dt^{\prime}\Bigr{)} to the equation of (3.14), we get
[TABLE]
Applying to the above equation and taking inner product of the resulting equation with , and then integrating the equality over we obtain
[TABLE]
where
[TABLE]
We mention that since our system (3.14) has only horizontal dissipation, it is reasonable to distinguish the terms above with horizontal derivatives from the ones with vertical derivative. Next let us handle term by term above.
The estimates of to
We first get, by using (4.11) with and that
[TABLE]
Applying (4.13) with and \mathfrak{g}(t)=\exp\bigl{(}-\lambda\int_{0}^{t}f(t^{\prime})\,dt^{\prime}\bigr{)} yields
[TABLE]
To handle by using integration by parts, we write
[TABLE]
Applying (4.11) with and gives
[TABLE]
Whereas applying (4.12) with and yields
[TABLE]
As a result, it comes out
[TABLE]
While by applying (4.11) with , and using the fact that
[TABLE]
we find
[TABLE]
The estimates of .
The estimate of is much more complicated, since there is no vertical dissipation in . To overcome this difficulty, we first use Bony’s decomposition in vertical variable (2.7) to write
[TABLE]
Following [8, 16], we get, by using a standard commutator’s process, that
[TABLE]
By applying commutator’s estimate (see Lemma in [2]), we find
[TABLE]
Due to we get, by applying (2.4), that
[TABLE]
Next, since the support to the Fourier transform of is contained in we get, by applying Lemma 2.1, that
[TABLE]
from which, we infer
[TABLE]
As a result, it comes out
[TABLE]
Finally, by using integration by parts and again, we find
[TABLE]
On the other hand, by applying Lemma 2.1 once again, we find
[TABLE]
Observing that
[TABLE]
we infer
[TABLE]
which together with (5.7) ensures that
[TABLE]
The estimates of
We first get, by taking the space divergence operators, and to and (3.2) respectively, that
[TABLE]
so that thanks to the fact that
[TABLE]
we write
[TABLE]
Accordingly, we decompose as
[TABLE]
where
[TABLE]
Noticing that is a bounded Fourier multiplier. Then along the same line to the estimate of to we achieve
[TABLE]
However, can not be handled along the same line to that of , since the symbol of the operator depends not only on , but also on which makes it impossible for us to deal with the commutator’s estimate. Fortunately, the appearance of the operator can absorb the vertical derivative. Indeed, by using integration by parts, and the divergence-free condition of we write
[TABLE]
Since both and are bounded Fourier multiplier, we get, by applying Lemma 4.2, that
[TABLE]
To handle , we use to write
[TABLE]
Applying (4.11) with and yields
[TABLE]
The remaining terms in can be handled along the same line to that of and As a consequence, we obtain
[TABLE]
To deal with , it is crucial to observe that
[TABLE]
Then due to the fact that is a bounded Fourier multiplier, we get, by applying (4.11) with that
[TABLE]
By summing up (5.10-5.13), we arrive at
[TABLE]
Now we are in a position to complete the proof of (3.17).
Proof of (3.17).
By inserting the estimates (5.3-5.6), (5.8) and (5.14) into (5.2), we achieve
[TABLE]
Multiplying the above inequality by and taking square root of the resulting inequality, and then summing up the inequalities over we find
[TABLE]
It follows from Young’s inequality that
[TABLE]
Inserting the above inequality into (5.15) and taking so that , we obtain
[TABLE]
which together with the following consequence of (5.1) that
[TABLE]
gives rise to (3.17). ∎
6. The estimate of the vertical component
The purpose of this section is to present the proof of (3.18). Compared with [17], where the third component of the velocity field can be estimated in the standard Besov spaces, here due to the additional terms like appears in (3.14), we will have to use the weighted Chemin-Lerner norms once again. Indeed for any constant , we denote
[TABLE]
And similar notations for and .
By multiplying to (3.16), we write
[TABLE]
By applying to the above equation and taking inner product of the resulting equation with , and then integrating the equality over we obtain
[TABLE]
where
[TABLE]
Let us handle term by term above.
The estimates of and
We first get, by applying (4.11) with and that
[TABLE]
Whereas by applying a modified version of (4.13) with and \mathfrak{g}(t)=\exp\bigl{(}-\mu\int_{0}^{t}\hbar(t^{\prime})\,dt^{\prime}\bigr{)}, we find
[TABLE]
The estimate of
The estimate of relies on the following lemma, the proof of which will be postponed in the Appendix A.
Lemma 6.1**.**
Let and Then for any smooth homogeneous Fourier multiplier, of degree zero and any , there hold
[TABLE]
and
[TABLE]
Remark 6.1**.**
Indeed the proof of Lemma 6.1 shows that in (6.5) and (6.6) can be replaced by
Let us admit this lemma temporarily, and continue our estimate of . By using integration by parts, we write
[TABLE]
Applying (6.6) with and yields
[TABLE]
Whereas by applying (6.5) with and we obtain
[TABLE]
Inserting the above two estimates into (6.7) and using (2.6), we achieve
[TABLE]
The estimate of
Due to by using integration by parts, we write
[TABLE]
By applying Bony’s decomposition (2.7), we get
[TABLE]
We first observe that
[TABLE]
applying Hölder’s inequality and Proposition 2.1 gives
[TABLE]
Along the same line, we find
[TABLE]
As a result, it comes out
[TABLE]
The estimates of
Due to and we write
[TABLE]
Then applying (6.6) gives rise to
[TABLE]
The estimates of
The estimate of can be handled similarly as . Indeed in view of (5.9), we write
[TABLE]
Accordingly, we have the decomposition with
[TABLE]
It is easy to observe from the estimate of that
[TABLE]
While by using and integration by parts, we write
[TABLE]
It follows from (6.5) and that
[TABLE]
Whereas by using a modified version of (4.13), we infer
[TABLE]
Therefore, we obtain
[TABLE]
Whereas applying (6.6) with and leads to
[TABLE]
On the other hand, again due to we write
[TABLE]
Noticing that is a bounded Fourier operator, we observe that shares the same estimate as given before, that is
[TABLE]
Finally since is a bounded Fourier operator, we get, by applying (4.11) with , that
[TABLE]
By summing (6.12-6.16), we arrive at
[TABLE]
Let us now complete the proof of (3.18).
Proof of (3.18).
By inserting the estimates (6.3), (6.4), (6.9-6.11) and (6.17) into (6.2), and then multiplying to the resulting inequality, and finally taking square root and then summing up the resulting inequalities over we obtain
[TABLE]
Applying Young’s inequality gives
[TABLE]
and
[TABLE]
As a result, it comes out
[TABLE]
Taking in the above inequality so that gives rise to
[TABLE]
On the other hand, in view of the definition of , there holds for any that
[TABLE]
which indicates
[TABLE]
Inserting the above estimate into (6.18) and repeating the argument from (4.18) to (4.19), we conclude the proof of (3.18). ∎
Appendix A The proof of Lemmas 4.2 and 6.1
In this section, we present the proof of Lemmas 4.2 and 6.1.
Proof of Lemma 4.2.
By applying Bony’s decomposition in the vertical variable (2.7) to , we write
[TABLE]
Considering the support properties to the Fourier transform of the terms in , and noting that is a smooth homogeneous Fourier multiplier of degree zero, we find
[TABLE]
It follows from Lemma 2.1 and Definition 2.4 that
[TABLE]
This together with Definition 2.2 ensures that
[TABLE]
Along the same line, we get, by applying (2.5), that
[TABLE]
On the other hand, once again considering the support properties to the Fourier transform of the terms in we find
[TABLE]
Yet it follows from Lemma 2.1 that
[TABLE]
As a result, by virtue of Definition 2.2, we obtain
[TABLE]
Similarly, thanks to (2.5), one has
[TABLE]
Combining (A.2) with (A.4) gives (4.11). And (4.13) follows from (A.3) and (A.5).
It remains to prove (4.12). Indeed similar to the proof of (A.2), we write
[TABLE]
from which and Definition 2.2, we infer
[TABLE]
While we deduce from Definition 2.4 that
[TABLE]
Whereas we get, by applying triangle inequality and Lemma 2.1, that
[TABLE]
This in turn shows that
[TABLE]
which together with (A.6) ensures (4.12). This completes the proof of Lemma 4.2. ∎
Proof of Lemma 6.1.
Let be given by (LABEL:fone4). We first get, by a similar derivation of (A.2), that
[TABLE]
which together with Proposition 2.1 implies that
[TABLE]
While for given by (LABEL:fone4), we get, by a similar derivation of (A.4), that
[TABLE]
from which and Proposition 2.1, we infer
[TABLE]
This together with (LABEL:fone4) and (A.7) ensures (6.5).
The inequality (6.6) can be proved similarly. As a matter of fact, we observe that
[TABLE]
and
[TABLE]
Then (6.6) follows from Proposition 2.1. This completes the proof of this lemma. ∎
Acknowledgments. M. Paicu was partially supported by the Agence Nationale de la Recherche, Project IFSMACS, Grant ANR-15-CE40-0010. P. Zhang is partially supported by NSF of China under Grants 11371347 and 11688101, Morningside Center of Mathematics of The Chinese Academy of Sciences and innovation grant from National Center for Mathematics and Interdisciplinary Sciences.
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