The estimate of lifespan and local well-posedness for the non-resistive MHD equations in homogeneous Besov spaces
Abstract
In this paper, we mainly investigate the Cauchy problem of the non-resistive MHD equation. We first establish the local existence in the homogeneous Besov space with , and give a lifespan of the solution which depends on the norm of the Littlewood-Paley decomposition of the initial data. Then, we prove that if the initial data in , then the corresponding existence times , which implies that they have a common lower bound of the lifespan. Finally, we prove that the data-to-solutions map depends continuously on the initial data when . Therefore the non-resistive MHD equation is local well-posedness in the homogeneous Besov space in the Hadamard sense. Our obtained result improves considerably the recent results in [13, 5, 11].
Keywords: The non-resistive MHD equation, Lifespan, Continuous dependence, Local well-posedness.
Mathematics Subject Classification: 35Q53, 35B30, 35B44, 35D10, 76W05.
1 Introduction
In this paper, we mainly investigate the Cauchy problem of the incompressible non-resistive magnetohydrodynamic (MHD) equations:
(1.1) |
where the unknowns are the vector fields and the scalar function . Here, and are the velocity and magnetic, respectively, while denotes the pressure. The magnetohydrodynamic equation is a coupled system of the Navier-Stokes equation and Maxwell’s equation. This model describes the interactions between the magnetic field and the fluid of moving electrically charged particles such as plasmas, liquid metals, and electrolytes. For more physical background, we refer to [4, 8].
The MHD equations are of great interest in mathematics and physics. Let’s review some well-posedness results about the MHD equations. In the case when there is full magnetic diffusion in system (1.1), G. Duvaut and J.-L. Lions, [9] firstly established the local existence and uniqueness result in the Sobolev spaces. They also prove the global existence of strong solutions with small initial data. M. Sermange, and R. Temam[18] proved the global well-posedness in the Sobolev spaces with . For the system (1.1) with magnetic diffusion, one may refer to the survey paper[14] written by F-H. Lin and the references therein for recent progress in this direction.
In the physics of plasmas the magnetic diffusion is very small such that it can be neglected. In this case, the study of well-posedness will become more difficult. We refer to [1, 12, 15, 17, 16] about the global existence results with initial data sufficiently close to the equilibrium. The decay rate was studied by R. Agapito and M. Schonbek[2]. C. Fefferman, D. McCormicket, J. Robinson and J. Rodrigo consider the critical Sobolev space about the well-posedness of the system (1.1). They obtained a local existence result in with the initial data in [10] and in [11]. J. Chemin, D. McCormicket, J. Robinson and J. Rodrigo [5] improved Fefferman et al.’s results to the inhomogenous Besov space with the initial data and also proved the uniqueness with . R. Wan in [19] obtained the uniqueness with . Recently, J. Li, W, Tan and Z. Yin in [13] obtained the existence and uniqueness of solutions to (1.1) with the initial data .
However, whether or not the solution for the non-resistive MHD equations is local well-posedness (local existence, uniqueness and continuous dependence of the solution) in homogeneous Besov spaces is an open problem which was proposed by Chemin et al. in [5]. In [13], J. Li, W, Tan and Z. Yin proved the local existence and uniqueness of solutions to (1.1) in . But the continuous dependence of the solution for the Cauchy problem of the non-resistive MHD equations in homogeneous Besov spaces has not been proved yet. In the paper, our aim is to solve this open problem by establishing the local well-posedness for the Cauchy problem (1.1) in homogeneous Besov spaces. Meanwhile, we generalized the local existence’s index from [13] to .
For convenience, we transform the system (1.1) into an equivalent form of compressible type. By using , we have
Therefore, the system (1.2) is formally equivalent to the following equations
(1.2) |
where is the Leray project operator, and the initial data is divergence free .
To solve (1.2), the main difficulty is that the system is only partially parabolic, owing to the magnetic equation which is of hyperbolic type. This means it’s hard to get the concrete expression for the lifespan (especially the lower bound of ), which creates the main difficulty for proving the continuous dependence. Therefore, we would like to present a general functional framework to deal with the local existence
of the solution of (1.2) in the homogeneous Besov spaces. By obtaining the expression of the lifespan, we get the uniformly lower bound of the lifespan by a constructive way (see the key Lemma 4.1 below). Finally, we use the frequency decomposition (see Theorem 4.4 below) to get the continuous dependence.
Our main theorem can be stated as follows.
Theorem 1.1.
Remark 1.2.
Comparing to [13], we generalized the local existence’s index from to and prove the continuous dependence with in homogeneous Besov spaces.
The remainder of the paper is organized as follows. In Section 2 we introduce some useful preliminaries. In Section 3, we prove the local existence and the uniqueness of the solution to (1.2) with the expression of local time being given. In Section 4, we firstly prove that if the initial data tends to in , then their local existence times , which implies that they have the common
existence time ( is small enough). Then we use the method of frequency decomposition to obtain the continuous dependence.
Notations: Throughout, we donate , and , . For convenience, we donate for large enough.
2 Preliminaries
In this section, we will recall some propositons and lemmas on the Littlewood-Paley decomposition and Besov spaces.
Proposition 2.1.
[3] Let be the annulus . There exist radial functions and , valued in the interval , belonging respectively to and , and such that
The set is an annulus, and we have
Further, we have
Definition 2.2.
[3] Denote by the Fourier transform and by its inverse. Let be a tempered distribution in . For all , define
Then the Littlewood-Paley decomposition is given as follows:
Let The nonhomogeneous Besov space is defined by
Similarly, we can define the homogeneous Besov space.
where the Littlewood-Paley operator is defined by
Lemma 2.3.
Let (). Assume is uniformly bounded in or . Then is bound in , and the map is compact in , where .
Proof.
The proof is based on Theorems 2.93-2.94 in [3], we omit it here. ∎
Lemma 2.4.
[6] Let and . Assume and . Then there holds
Definition 2.5.
[3] Let and The functional space is defined as the set of all the distributions satisfying
By Minkowski’s inequality, it is easy to find that
Finally, we state some useful results about the heat equation and the transport equation
(2.1) |
(2.2) |
which are crucial to the proof of our main theorem later.
Lemma 2.6.
Lemma 2.7.
Remark 2.8.
[3] If , we can get the same result with a better indicator: (or ).
Lemma 2.9.
Let (), , and . If satisfies one of the following conditions :
1) when , ;
2) when , ;
3) when and , ;
4) when and , .
Then (2.2) has a unique solution with ( with ).
Proof.
Without loss of generality, we only give the proof with , other cases are similar.
Firstly, we smooth out the data:
Hence, the function
is a solution to
(2.4) |
This implies that is uniformly bounded in . Lemma 2.3 guarantees that the map
is compact in . Combining Ascoli’s theorem and Cantor’s diagonal process thus ensures that
By the Fatou property, we have . By interpolation, we get
Remark 2.10.
If , we can get the same result with a better indicator: (). The proof is similar to Lemma 2.10, we omit the detail here.
Definition 2.11.
[3] Let , be a continue non-zero and non-decreasing function from to , . We say that is an Osgood modulus of continuity if
Lemma 2.12.
[3] Let be a measurable function from to , a locally integrable function from to , and be an Osgood modulus of continuity. If for some ,
then we have
(2.5) |
For example, if , we obtain the Gronwall inequality:
If , it’s easy to check that it is still an Osgood modulus of continuity. Then we have
Since is locally integrable, we deduce that if small enough such that , then
3 Local existence and uniqueness
We divide the proof of local existence and uniqueness into 4 steps:
Step 1: An iterative scheme.
Set and define the first term . Then we introduce a sequence with the initial data by solving the following linear transport and heat conductive equations:
(3.1) |
where , it makes sense in Besov spaces when or .
Step 2: Uniform estimates.
Taking advantage of Lemmas 2.6-2.7, we shall bound the approximating sequences in . Now we claim that there exists some independent of such that the solutions satisfy the following inequalities :
where . Now we suppose that is small enough such that ( will be determined later):
(3.2) |
where is any positive real number satisfying . Suppose that satisfies that
(3.3) |
where and are the constants in Lemmas 2.6-2.7. (Indeed, we should take and more large as we need.)
It’s easy to check that hold true for . Now we will show that if hold true for , then they hold true for . In fact, by (3.2)-(3.3) and Lemmas 2.6-2.7, we have
(3.4) |
(3.5) |
and
(3.6) |
This implies hold true for .
Finally, we have to obtain the relationship between the existence time and the initial data via (3.3). It is easy to deduce that
Now we turn to study the condition of (3.3). For this purpose, we have to classify the initial data.
(1) For , we let , which implies (3.2).
Since , there exists an integer such that ( may not be unique):
(3.7) |
Defining that and , we get
(3.8) |
and
(3.9) |
Letting , we get
Finally, if we choose to satisfy that
(3.10) |
then (3.3) holds true. For this , we have the approximate sequence is uniformly bounded in .
Remark 3.1.
Step 3: Existence of a solution.
This step is similar to the process of [3, 13, 6], we also use the compactness argument in Besov spaces for the approximate sequence to get some solution of (1.2). Since is uniformly bounded in , the interpolation inequality yields that is also uniformly bounded in for . Then, by Lemma 2.6-2.7, after some calculations, we can easily get that (for fixed ):
Let be a sequence of smooth functions with value in supported in the ball and equal to 1 on . The above argument ensures that is uniformly bounded in ( for fixed small enough), and is uniformly bounded in . Then by Lemma 2.3 with (), since the embedding and are locally compact, by applying Ascoli’s theorem and Cantor’s diagonal process, there exist some functions such that for any , tends to , and tends to . As , we have and . From that, we can easily deduce that there exists such that for all ,
(3.11) |
as n tends to (up to a subsequence). By interpolation, we have
(3.12) |
Note that is uniformly bounded in . By the Fatou property, we readily get
Finally, it is a routine process to verify that satisfies the system (1.2). Following the argment of Theorem 3.19 in [3], we have .
Step 4: Uniqueness.
4 Continuous dependence
Before proving the continuous dependence of solutions to (1.2), firstly we need to prove that let be a lifespan corresponding to the initial data by (3.10), if tends to in , then there exists a lifespan corresponding to such that . This implies that (for some small ) is a common lifespan both for and when is sufficiently large. We first give a useful lemma:
Lemma 4.1.
Let be the initial data of (1.2) with , if there exists another initial data such that , then we can construct a lifespan corresponding to such that
where the lifespan correspondsto .
Proof.
By virtue of Remark 3.1, we only consider the large initial data. Thus, we need to prove that , when . For convenience, we write down the definitions of here:
where is a fixed integer such that
Since , we can suppose that is the smallest integer such that the above inequality holds true. Since , it follows that . In order to prove that and , it is sufficient to show that there exists a corresponding sequence satisfying
and .
For any , there exists such that for we have
For this , we define that is the smallest integer such that
By the definition of , we have .
Replacing by , we can find such that for ,
For this , we define that is the smallest integer such that
Since , it follows that
Now letting , we deduce that
(4.1) |
Since is a monotone and bounded sequence, we deduce that for some integer . For any there exists such that if
Note that are integers, we deduce that when and is the smallest integer such that
We claim that . Otherwise, if , we deduce from the above inequality that
Since the left hand-side of the above inequality is independent of , we have
This contradicts the definition of . So we have .
Finally, taking , we can construct a sequence by when :
(4.2) |
By virtue of (4.1), one can check that
Using the monotone bounded theorem, one can prove that . Therefore, we have
This completes the proof of the lemma. ∎
Remark 4.2.
Remark 4.3.
By Lemma 4.1, letting be the lifespan time of , then we can define a corresponding with such that . That is, for fixed any small , there exists an integer , when , we have
Thus, we can consider as the common lifespan both for and . Then we still have
Roughly, we can choose as the common lifespan both for and , which is independent of .
Now we begin to prove the continuous dependence.
Theorem 4.4.
Let . Assume that be the solution to the system (1.2) with the initial data . If tends to in , then there exists a positive independent of such that tends to in .
Proof.
Our aim is to estimate and when . Note that
(4.3) |
where
By Lemma 4.1, we find that (we still write it as ) is the common lifespan for , , and when are large enough. By the argument as in Step 2, since and in , it follows that for any large and ,
(4.4) |
where , is a small quantity satisfying (3.2).
For any , we now divide the estimations of (4.3) into 4 steps.
Step 1. Estimate and for fixed .
Recall the equations of , :
(4.5) |
Multiplying both sides of the first equation in (4.5) by ( is determined later) and applying Lemmas 2.6-2.7 to (4.5), we have
(4.6) |
and
(4.7) |
where we used the fact that
Then setting , combining (4), (4) and the Gronwall inequality, we thus have
(4.8) | ||||
(4.9) | ||||
(4.10) |
which along with the Gronwall inequality leads to
(4.11) |
For fixed , letting and , we have
(4.12) |
Multiplying both sides of the first equation in (4.12) by ( is determined later) and applying Lemma 2.6 for (4.12), we have
(4.13) |
where by (3.2). Taking advantage of Lemma 2.7, we get
(4.14) |
Combining (4) and (4), selecting large enough such that , for fixed we obtain that
(4.15) |
where the last inequality is based on the Gronwall inequality. This implies that for any fixed , we have
(4.16) |
Step 2. Estimate for any .
Letting and , then we have
(4.17) |
By Lemma 2.4, for we have Using Lemmas 2.6-2.7 to (4.17), we have
(4.18) |
where we used the fact that , and
(4.19) |
where we used the fact that , and the last inequality is based on the Gronwall inequality.
By interpolation, it follows that
(4.20) |
which together with (4) and (4) yields that
(4.21) |
By Lemma 2.12 with , , we obtain
(4.22) |
Thus, by (4) and (4.20) we have
(4.23) |
Next we estimate . Similarly, we have
(4.24) |
which implies that
(4.25) |
Thus, we must combine the estimation of (4.25) with to prove the continuous dependence of .
Step 3. Estimate for any .
Define that , and recall the equations of with :
(4.26) |
We let such that
(4.27) |
and
(4.28) |
where and .
Our main idea is to verify that for any , which implies that For this purpose, we divide the verification into the following three small parts.
Firstly, we estimate . Similarly to (4.3), we see that
(4.29) |
where
(4.30) |
i. Estimate for fixed .
From (4.30) we deduce that:
(4.31) |
By Lemma 2.7 we have
and
(4.32) |
where the last inequality is based on (4.23).
ii. Estimate for any .
From (4.27) and (4.30), we obtain
(4.33) |
By Lemma 2.7, we have
(4.34) |
By (4), for any , there exists (independent on and ) such that when we have
For this and , by (4), there exists (independent on ) such that when we have
Thus we get
(4.35) |
that is
(4.36) |
Next, we estimate . Recall that
(4.37) |
where . By the Bony decomposition, we have
(4.38) |
where the last inequality is based on . Combining (4.25) , (4) and (4.37), we have
(4.39) |
Applying the Gronwall inequality and (4.36), we obtain
(4.40) |
Finally, combining (4.36) and (4), we have
(4.41) |
and
(4.42) |
Thus, we complete the estimations of and .
Step 4. Proof of the continuous dependence
Finally, combining (4) and (4.41), we obtain
(4.43) |
By (4.43), for any , there exists (independent of ) such that when we have
For this and , by (4.16) there exists such that when , we get
Thus we deduce
(4.44) |
Similarly, we have
(4.45) |
This completes the proof of the continuous dependence in . ∎
Acknowledgements. This work was partially supported by National Natural Science Foundation of China [grant number 11671407 and 11701586], the Macao Science and Technology Development Fund (grant number 0091/2018/A3), Guangdong Special Support Program (grant number 8-2015), and the key project of NSF of Guangdong province (grant number 2016A030311004).
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