Remarks on the well-posedness of the Euler equations in the Triebel-Lizorkin spaces
Zihua Guo, Kuijie Li

TL;DR
This paper establishes the continuous dependence of solutions to the Euler equations within critical Triebel-Lizorkin spaces, filling a gap in the mathematical understanding of these equations' well-posedness.
Contribution
It extends the well-posedness results for Euler equations to Triebel-Lizorkin spaces using the Bona-Smith method, which was previously applied to Besov spaces.
Findings
Proves continuous dependence of solutions in Triebel-Lizorkin spaces
Uses Bona-Smith method for the proof
Fills a gap in the mathematical theory of Euler equations
Abstract
We prove the continuous dependence of the solution maps for the Euler equations in the (critical) Triebel-Lizorkin spaces, which was not shown in the previous works(\cite{Ch02, Ch03, ChMiZh10}). The proof relies on the classical Bona-Smith method as \cite{GuLiYi18}, where similar result was obtained in critical Besov spaces .
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Taxonomy
TopicsNavier-Stokes equation solutions · Advanced Mathematical Physics Problems · Advanced Harmonic Analysis Research
Remarks on the well-posedness of the Euler equations in the Triebel-Lizorkin spaces
Zihua Guo
School of Mathematical Sciences, Monash University, Clayton VIC 3800, Australia
and
Kuijie Li ∗
School of Mathematical Sciences, Monash University, Clayton VIC 3800, Australia
Abstract.
We prove the continuous dependence of the solution maps for the Euler equations in the (critical) Triebel-Lizorkin spaces, which was not shown in the previous works [6, 7, 9]. The proof relies on the classical Bona-Smith method as [12], where similar result was obtained in critical Besov spaces .
Key words and phrases:
Euler equations, commutator estimates, continuous dependence
2010 Mathematics Subject Classification:
35Q31, 76B03
∗ Corresponding author
1. Introduction
This article addresses the ideal incompressible Euler equations in , :
[TABLE]
where represents the velocity vector, is scalar pressure, is the initial condition verifying .
There are extensive literatures on the mathematical analysis of the Euler equations. The Cauchy problem in very general functional setting has been well studied. Kato [15] constructed a unique local in time regular solution to the 3D Euler equation with initial data in . Similar result was obtained for initial data belonging to with , see [16]. Later, Vishik [21, 22] proved the global existence and uniqueness for 2D Euler equations in the borderline Besov spaces with . Local existence and uniqueness was then extended to critical Besov space by Pak and Park [17], see also [8] for a systematic treatment in Besov spaces. Recently, in [3, 4], Bourgain and Li proved a strongly ill-posedness result for the 2D or 3D Euler equations associated with initial data in Besov space for or Sobolev space with . For Euler equations, Himonas and Misiołek [13] proved the non-uniform dependence of the solution maps in with . So one can only expect continuous dependence. Indeed, the continuous dependence in the Besov space, in particular , was shown recently in [12] using Bona-Smith method ([5]).
The existence and uniqueness of the Euler equations in general Triebel-Lizorkin spaces was studied by Chae, first in the subcritical space [6], and then in the critical space ([7]) for . It is worth noting that a gap in [6] (on the trajectory mapping) was filled by [9]. It seems to us that the proof of a crucial proposition (Proposition 2.1) and commutator estimate (3.9) in [7] also have gaps. The main problem is that the critical space is now -based for which usual technique may fail. For example, the (vector-valued) Hardy-Littlewood maximal operator used in [6, 9] is not bounded. On the other hand, in [19], some counter-examples of commutator estimates in the Besov and the Triebel-Lizorkin spaces were constructed. In particular,
[TABLE]
fails for , . However, we shall prove (1.2) holds with , see Proposition 2.11.
The purpose of this paper is twofold. First, we fill the gap in [7] and prove relevant estimates in the endpoint Triebel-Lizorkin spaces with . To do this, we used some new techniques regarding maximal function estimates from [20]. Second, we show the continuous dependence in the (critical) Triebel-Lizorkin space using Bona-Smith method as in [12]. This together with the previous results [6, 7, 9] implies the well-posedness of the Euler equations in these spaces in the sense of Hadamard. The main result of this paper is
Theorem 1.1**.**
Assume that , satisfies
[TABLE]
Then for arbitrary , , there exist some and a unique solution to the Euler equations. Moreover, it satisfies
- (1)
(Boundedness): there exists some , such that
[TABLE]
- (2)
(Continuous dependence): the solution map is continuous from to . Precisely, for any , there exists such that for any with , then
[TABLE]
Remark 1*.*
Suppose with , one can also construct a unique local in time solution belonging to for some . Local existence and uniqueness, and part (1) was obtained in [6, 7, 9], except the case and , which seems to be new. For the convenience of reader and to make the paper more self-contained, we also provide a sketched proof in the appendix. The part (2) seems not proved before.
Remark 2*.*
We remark that the above theorem also holds for the ideal MHD equations studied in [9]. The proof for MHD has slight difference. So our results extend the result of [9] to the critical space.
Our proof of Theorem 1.1 is conceptually similar to the one in [12], but the problem is technically harder. The main difficulty lies in establishing a Moser type inequality and a commutator estimate in the case of . See Proposition 2.9 and Proposition 2.11 in Section 2.
Next we clarify some notations being used throughout this paper. and denote the set of Schwartz functions and tempered distributions over respectively. stands for the Fourier transform of , and , the inverse Fourier transform of . The symbol denotes a generic constant, which may be different from line to line. The function spaces are all defined over . For simplicity, the domain will often be omitted, e.g. we use instead of in many places, if not otherwise indicated. means a ball centred at with radius and .
Let us introduce the functional setting of this paper. Suppose satisfies , on and outside . Set , we denote and . The frequency localization operator is defined by
[TABLE]
here is the convolution operator in . It is easy to see . For , the inhomogeneous Triebel-Lizorkin spaces is defined by
[TABLE]
where
[TABLE]
with the usual modification when . Let denote the tempered distribution modulo the polynomials, then
[TABLE]
where
[TABLE]
We remark that for any ,
[TABLE]
See e.g. [20, 23]. Analogously, for , we have
[TABLE]
and
[TABLE]
We refer reader to [1, 20, 23] for more introductions on these function spaces.
The remaining part of this paper is structured as follows. In Section 2, we list some well known results and prove the key estimates for the proof. Section 3 is devoted to proving Theorem 1.1. Finally, we include an appendix, where local Cauchy theory for Euler equations in Triebel-Lizorkin spaces is given.
2. Auxiliary results
In this section, we recall some well-known facts and present several results which will be used in the sequel.
Lemma 2.1**.**
Let , and , then the following continuous embeddings hold:
[TABLE]
For the proof, one can refer to [14]. As a simple consequence, we have
[TABLE]
The following is a lifting property of the homogeneous Triebel-Lizorkin spaces, whose proof can be found in [11, 20].
Lemma 2.2**.**
For any , and , we have
[TABLE]
holds for some constant , here .
Following the definition, we have for ,
[TABLE]
When treating Euler equations in , we should take caution to deal with the low frequency estimate in (particularly when ) spaces for the pressure term, a kernel property needs to be exploited(see a different treatment in [17]), which reads
Lemma 2.3**.**
Let be the Fourier symbol of operator , , Then there exists a constant , such that
[TABLE]
Proof.
Since if , we have
[TABLE]
While according to Bernstein multiplier theorem (see [23], p.7),
[TABLE]
As , by a direct calculation, one can assert that there exists some constant independent of , verifying
[TABLE]
This combined with (2.3) implies the desired result. ∎
We will also need the Hardy-Littlewood maximal function. For a locally integrable function in , the maximal function is defined by
[TABLE]
In addition, suppose is a compact set, we denote
[TABLE]
Below we recall a lemma on the pointwise estimate in terms of the maximal function, for the proof, see [20] p.16.
Lemma 2.4**.**
Let , , then there exists some constant , such that
[TABLE]
Remark 3*.*
The above conclusion still holds for , see [20], p.22. In addition, if , one can have
[TABLE]
here is independent of . In fact, set , then applying Lemma 2.4 to yields the desired result.
Next we recall the well-known pointwise maximal function estimate, see [18].
Lemma 2.5**.**
Let be a nonnegative radial decreasing integrable function, suppose almost everywhere and , then
[TABLE]
where .
Proposition 2.6**.**
Let , , and . satisfies
[TABLE]
where is some nonnegative radial decreasing integrable function. Denote , then for any , there exists a constant independent of , such that the following inequality
[TABLE]
holds for all with and some generic constant .
Proof.
Consider first, we have
[TABLE]
In view of (3), one can see
[TABLE]
Given that , then
[TABLE]
where we used hypothesis (2.6) and Lemma 2.5 in the last inequality. Hence, the proof is completed for .
For general , one can choose , such that and . Denote , applying previous result to and letting , one can find (2.7) follows, see also [20] (p.22) for more explanations. ∎
Remark 4*.*
One can easily see from the above proof
[TABLE]
provided . Then for , it follows
[TABLE]
The following vector-valued maximal function estimate will also be frequently used, see [10, 18] for a proof.
Proposition 2.7**.**
Let or be given. Suppose is a sequence of functions in satisfying , then
[TABLE]
for some constant .
Next we establish the Moser type inequality for the Triebel-Lizorkin spaces. First we recall
Proposition 2.8** ([6]).**
Let or , . There exists some positive constant with the following property:
[TABLE]
Proposition 2.1 in [7] claimed that the above proposition also holds for . However, the proof of Proposition 2.1 in [7] seems to have gaps. In the following proposition, we re-prove the endpoint case , which exactly complements the nonendpoint conuterpart.
Proposition 2.9** (Endpoint case).**
Let be given, then there exists some constant such that
[TABLE]
holds for scalar functions and . Additionally, suppose that is a scalar function and is a vector-valued function with , then
[TABLE]
and
[TABLE]
Proof.
We use the following Bony decomposition ([2])
[TABLE]
where
[TABLE]
Due to frequency interaction, one can figure out that if , hence for any ,
[TABLE]
where we used Proposition 2.6 with . As such, choosing and applying Proposition 2.7, we have
[TABLE]
Similarly,
[TABLE]
Now we estimate . For arbitrary fixed , as , we can specify such that . Using the property of frequency support, one can assert that there exists a constant , such that
[TABLE]
where we utilized Proposition 2.6, Young’s inequality and Proposition 2.7 from the second to the last inequality. This yields (2.10).
As to the proof of (2.11), we first note that , here summation over repeated indices is adopted. Similarly,
[TABLE]
In view of the argument above, one can easily see
[TABLE]
Thanks to the divergence free condition on , we know , by Lemma 2.2
[TABLE]
Then the argument of above implies that
[TABLE]
holds for all . Hence, (2.11) is proved. Finally, owing to Lemma 2.2,
[TABLE]
Thus (2.12) is a simple consequence of (2.10). ∎
We shall conclude this section by presenting the commutator estimates, which turns out to be an important tool in [16]. In order to estimate the norm of the solution to the Euler equations, a commutator involve frequency localization operator occurs naturally, Let us first recall that
[TABLE]
Proposition 2.10** ([9]).**
Let . Suppose is a divergence free vector field, then there exists a constant , such that for ,
[TABLE]
or for ,
[TABLE]
Proposition 2.11** (Endpoint commutator estimate).**
Let denote the space dimension, be given. There exists a constant , such that
[TABLE]
and
[TABLE]
hold for all scalar function and vector-valued function with .
Proof.
We first show (2.14). Let , according to Bony decomposition, one can see
[TABLE]
It suffices to bound the above five terms in turn. Note that if , thus
[TABLE]
where we used Young’s inequality in the last step as . On the estimate of , one can see
[TABLE]
Let , on . Due to the fact
[TABLE]
We can assert
[TABLE]
Now applying Proposition 2.6 with and Proposition 2.7, we get
[TABLE]
where we used the following simple fact
[TABLE]
Concerning the third term , we first note that
[TABLE]
Furthermore,
[TABLE]
here we used the , mean value theorem and Proposition 2.6 with from the second to the fourth step. Therefore, it follows from Proposition 2.7 that
[TABLE]
Regarding the term , applying Proposition 2.6, we have
[TABLE]
Finally, we estimate the term . Since , for arbitrary , one can select small enough, such that . Due to frequency interaction, one can observe that there exists a constant , such that
[TABLE]
where Proposition 2.6 is used. Thanks to Young’s inequality, one can get
[TABLE]
Then one can argue analogously as (2) to obtain
[TABLE]
Gathering the estimates above, we find (2.14) follows.
In order to show (2.15), it suffices to slightly modify the estimate of the terms and . Note that , then
[TABLE]
where we used Young’s inequality. Regarding to the term , thanks to Proposition 2.6 and , one can immediately have
[TABLE]
This completed the proof. ∎
3. Proof of the Main result
In this section, we follow the scheme of [12] to demonstrate that the solution map of Euler equations is continuous in Triebel-Lizorkin spaces.
Proof of Theorem 1.1.
The proof is divided into four steps:
*Step 1. * It follows from local Cauchy theory that there exists some and a unique solution such that
[TABLE]
Moreover, if with some , then
[TABLE]
One can refer to [6, 7] or Theorem A.1 in the Appendix for more details.
Step 2. For any , we have
[TABLE]
In fact, let . Set , then solves
[TABLE]
here . Applying the frequency localization operator , one can find
[TABLE]
As in [6, 9], we introduce particle trajectory mapping defined by the solution of the ordinary differential equations
[TABLE]
This implies
[TABLE]
Note that , so is a measure preserving mapping. Multiplying and taking norm on both sides of (3.4), we can see
[TABLE]
Similarly,
[TABLE]
which leads to
[TABLE]
Combining the estimates (3.5) and (3.6), one can get
[TABLE]
Recall that for , we have
[TABLE]
Noticing that
[TABLE]
By Lemma 2.3, we can assert
[TABLE]
Owing to the boundedness of operator in (see [11, 18, 7]) and Propositions 2.8 and 2.9, one can find
[TABLE]
Consequently,
[TABLE]
On the other hand, , we finally obtain
[TABLE]
In the same way, one can assert
[TABLE]
Lastly, by virtue of Proposition 2.10 and Proposition 2.11,
[TABLE]
Summarizing the estimates above, we deduce
[TABLE]
Using (3.1) and Gronwall’s inequality, one can have
[TABLE]
which justifies (3.3). ∎
Step 3. Let , we claim
[TABLE]
For simplicity, let us denote and , according to the result in Step 1 and Remark 4, there exists some , such that
[TABLE]
It is not hard to see is a solution of the following equation:
[TABLE]
By means of argument similar to that in Step 2, one can deduce
[TABLE]
Following (3.8), Lemma 2.3 and Propositions 2.8 and 2.9, we can get
[TABLE]
where we used the fact in the last inequality. Regarding the pressure,
[TABLE]
By Lemma 2.2 and the boundedness of Riesz operator in , one can have
[TABLE]
where Propositions 2.8-2.9 is used in the last inequality, denotes th component of . This yields
[TABLE]
Moreover, on account of Propositions 2.10-2.11, we find
[TABLE]
Thereby the estimates (3), (3.15)-(3.16) in conjunction with (3.13) and (3.1) can imply
[TABLE]
Applying Gronwall’s inequality, we get
[TABLE]
from which (3.10) follows.
Step 4. Based on the aforementioned estimates, we show the continuity of the solution map. Let , then
[TABLE]
here we employed (3.3) and (3.12) in the last inequality. As , so for arbitrary , one can select to be sufficiently large, such that
[TABLE]
Then fix , choose so small that and . Hence,
[TABLE]
this concluded the proof.
Appendix A Local Cauchy theory for the Euler equations
In this appendix, we state and briefly show the well-known local in time existence and uniqueness for the Euler equations in Triebel-Lizorkin spaces . For a completed treatment, one can refer to [6, 7]. Recall that , the primary result of this part is as follows:
Theorem A.1**.**
Let the space dimension and be such that
[TABLE]
Suppose , then there exists some time and a unique solution to the Euler equations.
Proof.
As stated in Section 1, we will briefly outline the proof, as to the estimates involved, we omit the reasoning arguments and just present the result, which can essentially be established by applying Propositions (2.8)-(2.9) and Propositions (2.10)-(2.11), see also Section 3. Let be a sequence satisfying
[TABLE]
with , . The proof can be divided into five steps:
Step 1. First we claim that is uniformly bounded for some small time. Following argument that leads to (3.17), one can assert
[TABLE]
Thus by Remark 4,
[TABLE]
Now we specify by taking , then it follows by standard induction argument that
[TABLE]
Moreover
[TABLE]
Iterating again, one can find some , such that
[TABLE]
Since also solves the following integral equation(Duhamel formula)
[TABLE]
where is the Leray projector operator onto divergence free vector field. We readily see
[TABLE]
where we used (A.2) and (A.3) in the last step. This infers that for each fixed , .
Step 2. Let for some universal constant , solves (A.1) with initial data , we claim that there exist some and a constant independent of , such that
[TABLE]
Indeed, according to results in Step 1, one can say there exists some , s.t.
[TABLE]
Now set , , then
[TABLE]
Hence,
[TABLE]
Applying (A.5) with some , we have
[TABLE]
Selecting so small that , by an induction argument, one can immediately see
[TABLE]
This yields (A.4).
Step 3. Let solves equation (A.1) with initial data , i.e.
[TABLE]
where . Then there exist some and a constant independent of , satisfying
[TABLE]
We can argue as follows: by the estimates in Step 1, ,
[TABLE]
Now let , , then
[TABLE]
Similarly, for ,
[TABLE]
Noticing formula (A.4), we obtain
[TABLE]
Now choosing small enough and performing an induction on , we have
[TABLE]
The desired result then follows.
Step 4. Next we show is a Cauchy sequence in for some . In fact, set , one can easily see satisfies
[TABLE]
Likewise,
[TABLE]
By (A.2), we get
[TABLE]
Now choosing , such that , by a simple iteration, one can show
[TABLE]
This exponential decay implies what we want.
Step 5. Finally we prove is a Cauchy sequence in . According to the conclusion in Step 4, one can also claim that is a Cauchy sequence with
[TABLE]
here doesn’t depend on . As a consequence, for ,
[TABLE]
Since , the Schwartz function is dense in , see [20], one can assert that the first term can be made arbitrarily small provided that is large enough. Then fix such , taking to be sufficiently large, the second term can also be as small as we want, so is a Cauchy sequence in and converges to some . In view of (A.1), we find that the limit is a solution of the Euler system with initial data and meets (A.2) as well. This finishes the local existence of solution in , as to the uniqueness, which essentially can be done in the same way as the estimate in Step 4, we refer reader to [6] for more details. ∎
Acknowledgements
Z. Guo is partially supported by ARC DP170101060.
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