Nonlinear asymptotic stability of inhomogeneous steady solutions to boundary problems of Vlasov-Poisson equation
Abstract.
We consider an ensemble of mass collisionless particles, which interact mutually either by an attraction of Newton’s law of gravitation or by an electrostatic repulsion of Coulomb’s law, under a background downward gravity in a horizontally-periodic 3D half-space, whose inflow distribution at the boundary is prescribed. We investigate a nonlinear asymptotic stability of its generic steady states in the dynamical kinetic PDE theory of the Vlasov-Poisson equations. We construct Lipschitz continuous space-inhomogeneous steady states and establish exponentially fast asymptotic stability of these steady states with respect to small perturbation in a weighted Sobolev topology. In this proof, we crucially use the Lipschitz continuity in the velocity of the steady states. Moreover, we establish well-posedness and regularity estimates for both steady and dynamic problems.
1. Introduction
We consider the Vlasov-Poisson equations ([14, 33]) subjected to a vertical downward gravity of a fixed gravitational constant in a 3D half space with a periodic cube :
(1.1) | ||||
(1.2) |
Here, the potential of an intermolecular force solves Poisson equations as
(1.3) |
for either (an attractive potential of the Newton’s law of gravitation) or (a repulsive potential of the Coulomb’s law). In our paper, all results hold for and . For the sake of simplicity, we have set physical constants such as masses and size of charges of identical particles to be . At the incoming boundary , the distribution satisfies an in-flow boundary condition: For a given function on ,
(1.4) |
while the potential satisfies the zero Dirichlet boundary condition at the boundary:
(1.5) |
About the application of this problem, we refer to [6, 5, 23, 24, 25, 26]. For example, see an application in the stellar atmosphere such as the solar wind theory of the Pannekoek-Rosseland condition in [6] and the references therein.
In the contents of nonlinear Vlasov systems, constructing steady states ([19, 32, 13, 15]) and studying their stability ([20, 12]) or instability ([21, 29]) have been important subjects. Several boundary problems have been studied in [12, 13, 15, 17, 18, 22, 33]. Among others, we discuss some literature concerning the asymptotic stability of the Vlasov-Poisson system in a confining setting. In [28], Landau looked into analytical solutions of the linearized Vlasov-Poisson system around the Maxwellian and observed that the self-consistent field is subject to temporal decay even in the absence of collisions (cf. Boltzmann equation [7]). A rigorous justification of the Landau damping in a nonlinear dynamical sense has been a long-standing major open problem. In [22, 4], it was shown that there exist certain analytical perturbations for which the fields decay exponentially at the nonlinear level. Recently, Mouhot-Villani settled the nonlinear Landau damping affirmatively for general real-analytical perturbations of stable space-homogeneous equilibria with exponential decay in [31]. Bedrossian-Masmoudi-Mouhot establishes the theory in the Gevrey regular perturbations in [3]. We also refer to [16] for a very recent result in this direction.
In this celebrated justification of nonlinear Landau damping, the high regularity such as real-analyticity or Gevrey regularity of perturbation seems crucial as some counterexamples are constructed for Sobolev regular perturbations ([30, 2]). Moreover, the theories of [31, 3, 16] strictly apply to space-homogeneous equilibria but not space-inhomogeneous states. However, in many physical cases, the boundary problems do not allow these two constraints in general. Any steady solution to (1.1)-(1.3), if exists, is space-inhomogeneous unless the boundary datum in (1.4) is space-homogeneous. Moreover, derivatives of any solution to (1.1) are singular in general ([18, 6]).
In this paper, we establish a different stabilizing effect of downward gravity and the boundary in the content of the nonlinear Vlasov-Poisson system. Namely, we construct space-inhomogeneous steady states , which are Lipschitz continuous, and establish exponentially fast asymptotic stability of these steady states with respect to small (in a weighted topology) perturbation :
(1.6) |
For the initial datum in (1.1), we set .
1.1. Illustration of the Bootstrap argument
We shall illustrate how a strong gravity may stabilize the Vlasov system for a certain class of steady solutions. As far as the author knows, this stability mechanism is new in the nonlinear contents. For simplicity, we pick a simplified toy PDE (the real PDE in (2.5)): for given ,
We add to count the nonlinear contribution of the Vlasov-Poisson equation (cf. [24]). The natural boundary condition of is the absorption boundary condition on as in (2.7).
The characteristics of (1.1) is explicitly given by and ; or and . The unique non-negative time lapse , satisfying , is given by . Therefore, due to a crucial effect of gravity, we can control by the total energy of the particle:
(1.7) |
Now we can bound a local density (see (2.8)) by
(1.8) |
A major challenge is to achieve an -control, which corresponds to the nonlinear contribution for the real problem (2.5). Let us impose a crucial condition, namely has some Gaussian upper bound with respect to the total energy: for a universal positive constant C¿0,
(1.9) |
From the fact that the energy is conserved along the characteristics, we can derive that is bounded above by
Now using the crucial bound (1.7) of with respect to the total energy, we can control the term in the parenthesis above by Therefore we might hope that
On the other hand, for the real nonlinear problem (2.5), the Poisson equation (2.9) of might suggest a control of pointwisely (at least locally) by some weighted pointwise bound of mainly. Therefore, as far as we have chosen large enough, depending on our possible control of and , we find “a small factor” in the nonlinear contribution.
Applying this idea to a real nonlinear problem is challenging as the steady and dynamic characteristics are governed by the different self-contained fields. Moreover, as the total energy is not conserved along the dynamic characteristics, we cannot simply deduce a crucial Gaussian upper bound of the underbraced term in (1.8), even (1.9) is granted. Indeed, we need a fine control of the nonlinear characteristics for both steady and dynamic problems. To realize the idea in the real nonlinear problem, we ought to overcome two major difficulties: nonlinear regularity estimate of steady solutions with a weight of the total energy as (1.9); nonlinear control of characteristics, involving some elliptic estimates in . These issues are nontrivial as even linear transport equations have a singularity at the grazing set in general ([6, 18, 27]).
Notations: Throughout this paper, we often use the following notations: is a universal positive constant unless it is specified; means .
2. Main Results
Consider the steady problem (for ):
(2.1) | ||||
(2.2) |
We define a steady local density (whenever )
(2.3) |
Then the potential of a steady distribution solves (let denote )
(2.4) |
Next we consider the dynamical problem (1.1)-(1.5) as a perturbation in (1.6) around the steady solution to (2.1)-(2.4):
(2.5) | ||||
(2.6) | ||||
(2.7) |
We define a local density of the dynamical fluctuation
(2.8) |
Then the electrostatic potential solves
(2.9) |
Often we let denote . The evolution of is determined by a continuity equation
(2.10) |
where the flux is defined by
(2.11) |
2.1. Lagrangian approach
Consider the characteristics for the steady problem (2.1):
(2.12) |
where solves (2.4) and . The data at is given by .
We also define the characteristics for the dynamical problem (2.5) solving
(2.13) |
and satisfying Here, and solve (2.9) and (2.4), respectively. Note that the Picard theorem ensures that the unique solutions and to ODEs (2.12) and (2.13) exist, respectively.
Definition 2.1.
(1) Suppose for . Then is well-defined as long as . There exists a backward/forward exit time
(2.14) |
In particular, . Moreover, is continuously extended in a closed interval of .
We also define backward exit position and velocity:
(2.15) |
(2) Suppose for . Then is well-defined as long as . There exists a backward/forward exit time
(2.16) |
such that and backward exit position and velocity are defined
(2.17) |
Then is continuously extended in a closed interval of .
Definition 2.2 (Mild solution).
As we have described across (1.9) in the introduction, Gaussian weight functions have a crucial role in our analysis.
Definition 2.3.
Remark 2.4.
Few basic properties: (i) the steady weight in (2.20) is invariant along the steady characteristics (2.12):
(2.22) |
(ii) The dynamic weight is not invariant along the dynamic characteristics, as the dynamic total energy is not invariant :
(2.23) |
As we have described across (1.7) in the introduction, the next lemma is crucial in our analysis.
Lemma 2.5.
(i) Recall the steady characteristics (2.12) and its self-consistent potential in (2.4). Suppose the condition (2.44) holds. Then the backward exit time (2.14) is bounded above as
(2.26) |
(ii) Recall the dynamic characteristics (2.13) and its self-consistent potentials and in (2.4) and (2.9), respectively. Suppose the condition (2.35) holds.
Then the backward/forward exit time (2.16) is bounded above as, for all ,
(2.27) |
Proof.
We only prove the dynamical part (2.27) as the steady part (2.26) can be proved similarly. From the bootstrap assumption (2.35), the vertical acceleration is bounded from above as
(2.28) |
Note that
(2.29) |
The zeros of the above quadratic form are Then, from the definition of at (2.16), we can prove that
(2.30) |
2.2. Asymptotic Stability Criterion
As the main purpose of this paper, we establish a bootstrap machinery of starting with linear decay due to gravity effect to prove nonlinear decay.
Theorem 2.6 (Asymptotic Stability Criterion).
Suppose solves (2.1)-(2.4), and solves (2.5)-(2.9) globally-in-time in the sense of Definition 2.2. Suppose .
Assume that the following three conditions hold, for
(2.33) | ||||
(2.34) | ||||
(2.35) |
Then there exists a computable number such that decays exponentially fast as :
(2.36) | ||||
(2.37) |
Remark 2.7.
An exponent, which we will derive in (4.10), depends on and as roughly. This is somewhat intuitive: larger implies lesser particles of high momentum while a large gravity would trap the particles rapidly.
2.3. Construction of a steady solution
To carry out the idea of stabilizing effect in Section 1.1, it is important to construct steady solutions that satisfy the same in-flow boundary condition (1.4) as the perturbation, so that the zero in-flow boundary condition is exactly satisfied. Although some previous constructions have been made in bounded domains ([32, 15]), there seems to be no result in the half-space, which is relevant to the solar wind model (e.g., corona-heating problem). In general, the uniqueness theorem plays an important role in asymptotic stability. We prove the uniqueness of the solution to the nonlinear problem by establishing the regularity theorem. Moreover, in a proof of asymptotic stability, it is crucial to establish some Gaussian upper bound of the derivatives of the steady solutions (see an explanation across (1.9) in the introduction). Generally speaking, the regularity estimate is difficult, as the derivatives blow up at the grazing set .
Theorem 2.8 (Construction of Steady Solutions).
Suppose the inflow boundary data satisfy
for . For , assume that . We also assume that
(2.38) |
(2.39) |
Here, are the computable constants, which appeared in (5.48) and (LABEL:est:phi_C2). For sufficiently small , suppose the following bound also hold:
(2.40) |
Then there exists a unique strong solution to (2.1)-(2.4). Moreover, we have
(2.41) | ||||
(2.42) | ||||
(2.43) | ||||
(2.44) |
Furthermore,
(2.45) | ||||
(2.46) | ||||
(2.47) | ||||
(2.48) |
Here, a kinetic distance for a steady problem is defined as
(2.49) |
In particular, when (i.e. ).
Remark 2.9.
An exponential decay-in- result of (2.47) is crucially important in our later proof of an asymptotic stability of a dynamical perturbation.
2.4. Construction of a global-in-time dynamical solution and Asymptotic stability
Theorem 2.10 (Construction of Dynamic Solutions).
Assume a compatibility condition:
(2.50) |
For , assume that . Suppose is sufficiently small such that
(2.51) |
(2.52) |
(2.53) |
Then there exists a unique global-in-time strong solution to (2.5)-(2.9). Moreover, for all ,
(2.54) |
(2.55) |
(2.56) |
(2.57) |
and
(2.58) |
Here, is a kinetic distance for a dynamical problem.
As a direct consequence of Theorem 2.6, Theorem 2.8 and Theorem 2.10, we conclude the following dynamical asymptotic stability.
Theorem 2.11 (Asymptotic Stability).
Structure of the paper: In Section 3, we construct a Green function of the Poisson equation (2.4) in ; in Section 4, we prove the asymptotic stability criterion (Theorem 2.6) using the Lagrangian proof; in Section 5, we establish the steady theorem (Theorem 2.8); and in Section 6, we prove the dynamic theorem (Theorem 2.10).
Notation: We will use an abbreviation of for some . | (2.59) |
3. Green function
In this section, we construct and study the Green’s function of the following Poisson equation in the horizontally-periodic 3D half-space:
(3.1) |
such that solving (3.1) takes the form of
(3.2) |
We will construct and prove its properties in Proposition 3.1.
The 2D Green’s function in has an explicit formula. It is so-called the Green’s function for the one-dimensional grating in (see [1]). However, there seems no known explicit form in 3D. In this section, we utilize a classical argument of multiple Fourier series (e.g. Theorem 2.17 in [34]) to study the 3D problem.
Theorem 3.1.
The Green’s function for (3.1) takes a form of
(3.3) |
When and , satisfies
(3.4) |
When and ,
(3.5) | |||
for . | (3.6) |
Here, , and with the Gamma function . Moreover,
(3.7) |
Once we have the following lemma, the proof of Theorem 3.1 is straightforward.
Lemma 3.2.
We construct a function in , which solves the following equation
(3.8) |
This Green’s function takes the form of
(3.9) |
Here, is defined in (3.26) and is an arbitrary constant. When , satisfies that
(3.10) |
When , the function can be decomposed as
(3.11) |
Then and satisfy
; | (3.12) | ||
, ; | (3.13) | ||
for , | (3.14) |
and
(3.15) |
Proof of Theorem 3.1.
We postpone the proof of Theorem 3.1 and first study some elliptic estimates.
Lemma 3.3.
Suppose for and .
Then in (3.2) satisfies that, for some ,
(3.17) |
Moreover, for any , in (3.2) satisfies that
(3.18) |
Proof.
Proof of (3.17). From (3.3) and (3.2), we have
(3.19) |
The first term can be easily bounded as
(3.20) |
For the second term, using for , we derive that
(3.21) |
For the third term, using (3.4), we derive that
(3.22) |
Proof of Lemma 3.2.
Step 1. We claim that takes the following form: for some constant ,
(3.26) |
For any , we have
Recall the Poisson summation formula for . Thus, we have
(3.27) |
Now we try the following Ansatz to solve (3.8): With unknown functions ,
(3.28) |
By inserting (3.28) in (3.8), we compute that
To solve (3.8), we ought to solve a second order linear ODE with the Dirac delta source term:
Explicit solutions are given by
(3.29) |
where is a constant. Finally, inserting (3.29) in (3.28), we complete the proof of (3.26).
Step 2. Define such that
(3.30) |
Define and its inverse horizontal Fourier transform : for
(3.31) |
From the Poisson summation formula and (3.26), (3.31), we obtain that
(3.32) |
Step 3. We claim that
(3.33) | ||||
(3.34) |
As vanishes for , we take derivatives to (3.31) and derive that, for
(3.35) |
Using the fact that if and if from (3.30), we bound the above underlined term in (3.35) by
Suppose , then
(3.36) |
Summing (3.36) over all possible such that , we conclude (3.33).
From (3.35) we compute that
(3.37) |
We bound the underlined terms of (3.37) respectively by
(3.38) |
Choose . Then the above upper bounds are integrable-in- in . This allows us to prove (3.47).
Step 4. We claim that
(3.39) |
From (3.37) we compute that
(3.40) |
Following the argument of the previous step, we bound first underlined term by (LABEL:est:DTtq); and bound the second underlined term of (3.40) by
Choose . Then the above upper bounds are integrable-in- in . This allows us to prove (3.39).
Step 5. Define
(3.41) |
From (3.33), (3.47), and (3.39), we conclude that the series (3.41) is absolutely convergent and hence (3.15) holds.
Step 6. We claim that when , we can decompose as (3.11) where satisfies (3.41)-(3.15), and (3.12)-(3.14) hold. Recall the following horizontal Fourier transform:
(3.42) |
Here, where is the Gamma function.
We decompose and use the duality of Fourier transform with (3.42) to get that
(3.43) |
Now we only need to prove the properties of , which are (3.12)-(3.14). Note that is the inverse horizontal Fourier transforms of an integrable function with bounded support in horizontally. Hence . Next, we compute its derivatives of . For any and ,
(3.44) |
Here, we have used two functions defined as
(3.45) | ||||
(3.46) |
Note that the three underlined integrals in the right hand side of (3.44) are the inverse horizontal Fourier transform of integrable functions with bounded support in horizontally. By summing (3.44) over in , we conclude (3.12)-(3.14).
Step 7. We consider the case of . We claim that (3.10) holds.
4. Asymptotic Stability Criterion
The goal of current section is to give a proof of Theorem 2.6. In this section we always assume all conditions of Theorem 2.6 hold. For example, global-in-time self-consistent potentials , and is a global-in-time Lagrangian solution in the sense of Definition 2.2 and (2.19). We also assume that . Recall the Lagrangian formulation of solving (2.5)-(2.9):
(4.1) |
where
(4.2) | ||||
(4.3) |
Recall in (2.11) and the continuity equation (2.10). Assume that . Then a weak solution of the continuity equation is absolutely continuous in time. Therefore we can take a time derivative to the Poisson equation (2.9). This leads to
(4.4) |
The forcing term is bounded pointwisely if a distribution decays fast with respect to and in :
Lemma 4.1.
Assume that and are related as in (2.11). Suppose . Then we have that
(4.6) |
Proof.
Recall the Green function constructed in Lemma 3.1. By the integration by parts, we derive that
(4.7) |
In the stability analysis, it is important to compare weight functions along the characteristics.
Lemma 4.2.
Proof.
First we prove (4.11). For that, we will apply Lemma 2.5, Lemma 4.2 (since (2.35) holds), and Lemma 4.1. Then we derive that
(4.14) |
We have used (2.27) and (4.8) from the first to second line; and from the second to third line we have used (4.13) and the fact that if then
Now we have, by completing the square,
Combining this with (LABEL:bound:tB/w), we derive (4.11).
5. Steady solutions
For the construction of a solution to the steady problem (2.1)-(2.4), we use a sequence of solutions. For an arbitrary number , we suppose that
(5.1) | ||||
(5.2) |
Then we can solve the characteristics , as in (2.12), to
(5.3) |
with and and . A continuous-in- solution exists uniquely due to the Picard theorem. As long as exists, then
(5.4) |
With , we define the backward exit time, position, and velocity as in Definition 2.1:
(5.5) |
From (5.2), it is easy to check that for each .
Now we define that, for a given in-flow boundary datum in (1.4),
(5.6) |
Note that this is a unique solution for given to
(5.7) | ||||
(5.8) |
Then we define the density
(5.9) |
Next, as (2.20), we define a weight function which is invariant along the characteristics
(5.10) |
Note that, as (2.24), at the boundary
(5.11) |
Using (5.6), (5.8), and (5.11), as long as , then we have
(5.12) |
Lemma 5.1.
Proof.
Next, we move to construct . The starting point is defining as (3.2). From (3.1), we deduce that is a weak solution to
(5.17) |
To repeat the process to construct as in (5.3), we verify that . We achieve this by establishing the regularity estimate of and and then using an elliptic estimate to (5.17).
5.1. Regularity Estimate
In this section, we establish a regularity estimate of which are given in (5.6) and (5.9). We utilize the kinetic distance function (2.49):
(5.18) |
Lemma 5.2.
Suppose a condition (5.2) holds. For all and ,
(5.19) |
In particular, the last inequality implies that
(5.20) |
Proof.
Note that
where we have used .
Lemma 5.3.
Proof.
Lemma 5.4.
Proof.
For and , we change the order of integrals in each last double integral to get
Now applying the Gronwall’s inequality, we derive that
(5.29) |
From the second line of (5.24) and the -derivative to the first line of (5.4), we obtain that
and hence, by the Gronwall’s inequality,
(5.31) |
Lemma 5.5.
Recall in Definition 2.1. The following identities hold:
(5.33) |
(5.34) |
and
(5.35) |
(5.36) |
and
(5.37) |
(5.38) |
Proof.
By taking derivatives to (see (2.1)), we get
which imply the first identities of (5.33) and (LABEL:tb_v). Then using the first identity of (5.23), we derive (5.33). Similarly, using the first identity of (5.24), we have (LABEL:tb_v).
Lemma 5.6.
(5.39) |
(5.40) |
(5.41) |
(5.42) |
Lemma 5.7.
Recall , which are constructed in (5.6) and (5.9). Suppose the condition (5.2) holds. For arbitrary numbers , we assume that and
(5.43) |
Then for
(5.44) |
(5.45) |
where .
Moreover, for all ,
(5.46) |
For ,
(5.47) |
Furthermore, and
(5.48) |
(5.49) |
Remark 5.8.
Proof.
Taking a derivative to (5.12), we derive that
(5.50) |
where and their derivatives in the right hand side were evaluated at .
Step 1. Proof of (5.44). From (5.50),
(5.51) |
Using (5.40), (5.21), and (5.43), we have
(5.52) |
Here, we have used the following lower bound, from (5.2),
(5.53) |
Similarly, using (5.42), (5.21), and (5.53), we derive that
(5.54) |
Finally we complete the prove of (5.44) using (5.51), (5.52), and (5.54) altogether.
Step 2. From (5.50),
(5.55) |
Using (5.22), (5.39), and (5.21), we derive that
(5.56) |
where we have used .
Step 3. Proof of (5.46). From (5.2), we obtain a lower bound of in (5.18) as We derive that
(5.58) |
where we have used the following computation of :
Then it is straightforward to derive (5.46) using (5.45) and (5.58).
5.2. Construction of Sequences and their Stability
Let us go back to the discussion right after (5.17). Using in (LABEL:est:phi_C2), now we can repeat the process to construct as in (5.3). In order to achieve the uniform-in- estimates, we make sure the bound (LABEL:est:phi_C2) guarantees (5.43).
Theorem 5.9.
Proof.
We set and . Then we solve the characteristics to (5.3) and initial condition with . Clearly . Then now we define as in (5.6) and (LABEL:def:tb_k) with . Using Lemma 5.1 and (5.15), we derive that . Then using (5.48) and (LABEL:est:phi_C2), we verify the iteration assumptions (5.2) and (5.43) for . Therefore using Lemma 5.7, we can iterate this process to construct , then and for .∎
To pass a limit of the sequences we prove a stability lemma, which is very helpful to prove both the stability a la Cauchy and uniqueness of a limiting solution.
Lemma 5.10.
For given such that for some , suppose solves
Now we consider solving, in the sense of (2.18),
(5.63) |
Suppose the following two condition hold for
(5.64) |
(5.65) |
where had appeared in (5.48).
Then for a small number , the following stability holds
(5.66) |
Proof.
Clearly the difference of two solutions solves
(5.67) |
Let be the characteristics solving (2.12) with and (as (2.1)) is the backward exit time of this characteristics . Then, as ,
(5.68) |
Now we bound above the right hand side of (5.68) by
(5.69) |
Note that (5.64) implies
(5.70) |
Using Lemma 2.5 (and (2.26)), (2.22) and (5.70), we bound that
(5.71) |
On the other hand, using Lemma 3.3 ((3.17) with and for ), we derive that
(5.72) |
Using (2.43), we bound the underbraced term above by
(5.73) |
Now combining above bounds together with (5.69) and (5.71), we conclude that
With a choice of and (5.65), we bound the underbraced term for a sufficiently small to get (5.66).∎
Finally, we prove the existence of a unique solution by passing a limit of the sequences in Theorem 5.9 and using the stability in Lemma 5.10.
Proof of Theorem 2.8.
Let us first check that, if (5.44) and (2.40) hold then for we have that
Note that this bound guarantees (5.65) in Lemma 5.10. Therefore now we can apply Lemma 5.10 to the sequences of Theorem 5.9 with : Then is Cauchy: for all ,
(5.74) |
With this strong convergence together with uniform-upper-bounds of Theorem 5.9, it is standard to prove the convergence of the sequences and prove that their limiting function is a strong solution to (2.1)-(2.4). Moreover, every upper bound of Theorem 5.9 is valid for the limiting function. Finally Lemma 5.10 implies the uniqueness of solution.∎
6. Dynamic Solutions
In this section, we construct a global-in-time strong solution to the dynamic problem (2.5)-(2.9), and study their properties such as regularity and uniqueness.
6.1. Construction of Sequences
We construct a solution to the dynamic problem (2.5)-(2.9) via the following sequences: starting with , we set ; and then solves
(6.1) |
Since , the characteristics to (2.13) equals the steady characteristics of (2.12) and hence is defined as in (2.19) along the characteristics.
Suppose that satisfies
(6.2) |
Note that
The corresponding characteristics is
(6.3) |
solving
(6.4) |
We define and as in Definition 2.1 but for the characteristics in (6.3).
Then we successively construct solutions in the sense of Definition 2.2 along the characteristics as in (2.19) to the problem
(6.5) | ||||
(6.6) | ||||
(6.7) |
Remark 6.1.
The continuity equation (6.9) should hold in a weak sense against smooth test function with compact support. As what we have done for the steady solution construction, we will prove that the sequence belongs to some regularity space. Then, in Lemma 6.7 and Remark 6.8, we will derive that the continuity equation (6.9) holds in a strong sense so that the following identity is valid:
(6.10) |
Applying Lemma 2.5, we have the following result:
Lemma 6.2.
Assume a bootstrap assumptions and
(6.11) |
Then we have that for all
(6.12) |
Lemma 6.3.
Proof.
Using (6.14), we derive that
(6.17) |
Hence, if then
(6.18) |
Lemma 6.4.
Proof.
We express as
(6.25) |
where we have used (6.11). Since we already have bounded in (2.42), it suffices to estimate .
Along the characteristics (6.4), for ,
Using the boundary condition (1.4) and the initial datum, we derive that
(6.26) |
6.2. Regularity Estimate
In this section we study the higher regularity of that we have constructed in the previous step. Note that
(6.31) |
Assume a compatibility condition (2.50). Due to this compatibility condition (2.50), weak derivatives of in (6.31) are
(6.32) |
(6.33) |
where and ; and every is evaluated at .
Following the same proof of Lemma 5.4, we can derive the following estimate ([7, 10]):
(6.34) | ||||
(6.35) | ||||
(6.36) | ||||
(6.37) |
Here, we have used the notation defined in (2.59).
We also follow the same proof of Lemma 5.6 to get ([7, 10])
(6.38) |
(6.39) |
(6.40) |
(6.41) |
where we have abbreviated , and .
Again we utilize a kinetic distance for the dynamic problem (1.1). We define a dynamic kinetic distance ([17, 6])
(6.42) |
In particular, when (i.e. ) due (1.5).
Lemma 6.5.
Proof.
Lemma 6.6.
Assume that (6.11) holds for , and the compatibility condition (2.50) holds. Let and be the solutions constructed in Theorem 2.8 and (6.2)-(6.7) respectively. Recall that . Suppose that
(6.46) |
Then, for and , we have that, for all ,
(6.47) |
(6.48) |
Moreover, for all ,
(6.49) |
For and for all
(6.50) |
Furthermore, for all , we have that and
(6.51) |
(6.52) |
Proof.
We bound (6.32) and (6.33) following the argument of the proof of Lemma 5.7. Recall defined in (6.13). From (6.33),
(6.53) | ||||
(6.54) |
Using (6.36)-(6.37) and (6.15), we bound
(6.55) |
where we use the abbreviation of (2.59). In (6.55), we have used (6.12) at the second line: ; and used the completing-square trick to get the last line of (6.55).
Now we consider (6.54). We follow the same argument in (5.52) and (5.54): Using (6.39), (6.41), and (6.12), we derive that
(6.56) | ||||
(6.57) |
Finally applying (6.56), (6.57), (6.55) to (6.53)-(6.54) we conclude (6.47) under the condition of (6.46).
Next, to get (6.48), we bound (6.32). We can bound the first line of (6.32), following the argument of (6.55) and using (6.34)-(6.35):
(6.58) |
Now we consider the second line of (6.32). We follow the same argument of (5.56) and (5.57). Using (6.46), (6.45), and the completing-square trick, we have that
(6.59) |
where we have abbreviated and used (2.59).
Lemma 6.7.
Moreover, for all ,
(6.61) |
Remark 6.8.
Proof of Lemma 6.7.
Theorem 6.9.
Proof.
The proof is a consequence of Lemma 6.4, Lemma 6.6, and Lemma 6.7. We ought to check the conditions (6.11) and (6.46) to iterate our construction of sequences in (6.1)-(6.7). If (2.51) holds then using (6.51) we can verify the condition (6.11). Moreover if (2.52) holds then using (LABEL:est:phi_C2_dyn)and (6.61) we can verify the condition (6.46). ∎
6.3. Stability of the Sequence
The following lemma is useful to prove that i) the sequence in Theorem 6.9 is Cauchy; and ii) the solution (as a limit of the sequence) is unique.
Lemma 6.10.
Suppose is defined in and satisfies for some and any . Suppose for any and solves
Now we consider solving that, in the sense of Definition 2.2,
(6.66) |
Suppose the following condition hold for
(6.67) | |||
(6.68) |
Then there exists such that for all , we have
(6.69) |
Proof.
Set and . Note that the difference of solutions solves
(6.70) |
From (6.67), we have that and , and therefore
Along the characteristics associated with a field , we have a form
(6.71) |
Here, from (6.68) we know that the second line of (6.71) is bounded.
Proof of Theorem 2.10.
Using Theorem 6.9 and Lemma 6.10, it is standard to deduce that, for ,
where we have used (6.24) at the last step above. With this strong convergence together with uniform-upper-bounds of Theorem 6.9, it is standard to prove the convergence of the sequences and prove that their limiting function is a strong solution to (1.1)-(1.5). Moreover, every upper bound of Theorem 6.9 is valid for the limiting function. A proof of uniqueness is straightforward from Lemma 6.10. We omit the proof. ∎
Acknowledgment. The author thanks Professor Hyung-Ju Hwang for her interest to this work. The author thanks Dr. Jiaxin Jin and Dr. Jongchon Kim for discussions helpful to write Section 3. He also thanks Professor Antoine Cerfon for his insightful comments in the author’s talk on the occasion of a kinetic theory workshop at Madison in October 2019. He thanks Dr. Trinh Nguyen for his presentation about recent development of Landau damping on the occasion of kinetic theory working seminars in Madison. The author also thanks Professor Seung Yeal Ha, Donghyun Lee, and In-Jee Jeong, for their kind hospitality during his stay at the Postech and Seoul National University in 2021-2022 where/when the author has conducted this project partly. This project is partly supported by NSF-DMS 1900923/2047681 (CAREER), the Simons fellowship in Mathematics, and the Brain Pool fellowship funded by the Korean Ministry of Science and ICT.
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