Global dynamics of large solution for the compressible Navier-Stokes-Korteweg equations
Kyoto, 606-8007, Japan
E-mail: [email protected])
Abstract
In this paper, we study the Navier-Stokes-Korteweg equations governed by the evolution of compressible fluids with capillarity effects. We first investigate the global well-posedness of solution in the critical Besov space for large initial data. Contrary to pure parabolic methods in Charve, Danchin and Xu [6], we also take the strong dispersion due to large capillarity coefficient into considerations. By establishing a dissipative-dispersive estimate, we are able to obtain uniform estimates and incompressible limits in terms of simultaneously.
Secondly, we establish the large time behaviors of the solution. We would make full use of both parabolic mechanics and dispersive structure which implicates our decay results without limitations for upper bound of derivatives while requiring no smallness for initial assumption.
Keywords: Global well-posedness; Incompressible limit; Large time behaviors; Dissipative-dispersive estimates; Navier-Stokes-Korteweg system
MSC 2020: 76N10, 35D35, 35Q30
1 Introduction
In this paper, we investigate the compressible Navier-Stokes-Korteweg model, whose theory formulation was first introduced by Van der Waals [45], Korteweg [31]. The model aims to study the dynamics of a liquid-vapor mixture in the Diffuse Interface (DI) approach, where the phase changes are described through the variations of the density. The rigorous derivation of the corresponding equations for the compressible Navier-Stokes-Korteweg system (NSK) reads as:
(1.1) |
Here, and are the unknown functions on , which stand for the density and velocity field of a fluid, respectively. We neglect the thermal fluctuation so that the pressure reduces to a function of only. The notation is given by with , where the Lamé coefficients and (the bulk and shear viscosities) are density-dependent functions, respectively. In order to ensure the uniform ellipticity of , they are assumed to satisfy
In the following, the Korteweg tensor is given by (see [2])
Here, represents the capillarity coefficient while may depend on in general. The initial condition of System (1.1) is prescribed by
(1.2) |
In this paper, we investigate the Cauchy problem (1.1)-(1.2), where initial data tends to a constant equilibrium with .
There were fruitful mathematical results on the compressible fluid models of Korteweg type in the past thirty years. Hattori and Li [24, 25] obtained global smooth solutions for initial data close enough to a stable equilibrium . Bresch, Desjardins and Lin [16] established the global existence of weak solutions in a periodic or strip domain. However, the uniqueness problem of weak solutions has not been solved. A natural way of dealing with the uniqueness is to find a functional setting as large as possible in which the existence and uniqueness hold. This idea is closely linked with the concept of scaling invariance space, which has been successfully employed by Fujita-Kato [19], Cannone [5] and Chemin [9] for incompressible Navier-Stokes equations. Danchin [13] first developed the idea of scaling invariance in compressible Navier-Stokes equations. Note the fact that (NSK) is invariant by the transformation
up to a change of the pressure term into , Danchin and Desjardins [15] investigated the global well-posedness of perturbation solutions for (NSK) in critical Besov spaces. Charve, Danchin and Xu [6] investigated the global existence and Gevrey analyticity of (1.1) in more general critical framework. Chikami and Kobayashi [12] studied the optimal time-decay estimates in the critical Besov spaces. Kawashima, Shibata and Xu [28] investigated the dissipation effect of Korteweg tensor with the density-dependent capillarity and developed the energy methods (independent of spectral analysis), which leads to the optimal time-decay estimates of strong solutions. Murata and Shibata [36] addressed a totally different statement on the global existence of strong solutions to (1.1) in Besov spaces, where the maximal - regularity was mainly employed.
One important direction of studying fluid models is to investigate the singular limit in terms of different physical parameters. For Navier-Stokes-Korteweg equations, the zero mach number limit is studied in [34, 27]. As for vanishing limits for capillarity coefficient, one could refer to results given in [4, 3, 26]. Recently, some multi-scale problems for Korteweg system with high rotation were considered in Fanelli [18].
However, there are few results concern the case with large Korteweg coefficient , which may reflect strong capillarity effect for the fluid, and the corresponding converge process. In this paper, we would investigate this situation where the perturbation system admits not only parabolic mechanics, but also dispersive structures because of its strong capillarity effect. Our first goal is to prove the global well-posedness with initial velocity arbitrary large in the critical Besov space under large enough and the global existence of the incompressible Navier-Stokes equation (INS) which reads
Also, we will show the solution we construct converges to the solution of the incompressible Navier-Stokes equation. Moreover, we would establish the optimal decay rates for the solution of any order derivatives, but without asking any smallness for the initial assumption.
2 Reformulation and main results
Without loss of generality, we shall fix the equilibrium of density to be and assume . Denote the density fluctuation by where
Then the density is also given by . A simple calculation leads us to the following perturbation problem:
(2.3) |
with
One can write the nonlinear terms and as follows:
(2.4) |
where (similarly definitions for ) with
In our analysis, those functions are assumed to be smooth and vanishing at zero whose exact values will not matter. Now, denote Leray projector by , our first main result is stated as follows.
Theorem 2.1.
Assume and . Let . If with initial data admits a global solution satisfying for any that
(2.5) |
then there exists a positive depending on the initial data such that for all , the Cauchy problem (2.3)-(2.4) admits a unique global-in-time solution satisfying
(2.6) |
Furthermore, tends to 0 in , tends to in satisfying
(2.7) |
where satisfies
(2.8) |
with positive sufficient small.
Remark 2.1.
The motivation of Theorem 2.1 initiates from observation that linearized system admits a Schrdinger type dispersive structure brought by the three order term. Different from pure parabolic methods in [6], we would take both dissipation and dispersion into consideration and establish a Strichartz type estimate which implicates some smallness in terms of the coefficient .
Instead of classical perturbation variable , we apply the modified density which defines a diffeomorphism from onto a small neighborhood of 0. This fact enables us to symmtric those quasi-linear nonlinearities don’t contain smallness of , and offers us some nice cancellations in energy estimates.
Remark 2.2.
The global-in-time well-posedness of with large initial data has been fixed in many directions. In 2D case, is always globally well-posed, see Leray [33], Serrin [39]. For the case , the global well-posedness is ensured with initial data with special geometry structure, like axisymmetric [32], or those vary slowly in one space direction, see [10].
Secondly, we are going to establish the decay rates for the solution we establish above. Denote the multiplier , with , our decay results are given as follows:
Theorem 2.2.
Let , . Let be the global-in-time solution constructed in Theorem 2.1. Assume initial data additionally satisfies
(2.9) |
If the solution of with initial data shares the decay estimates for any index such that
(2.10) |
then holds for any
(2.11) |
Remark 2.3.
The decay of solutions for heat equations or originated from series works of Schonbek [41, 42] and later developed by [35, 37, 46]. On the other hand, the decay of high order derivatives is also considered by [43, 38]. We remark that according to [35], one is able to prove (2.10) once .
Taking (), Theorem 2.2 and Sobolev embedding reflect classical decay rates of any order derivatives as heat equations where
with initial assumption arbitrary large.
Remark 2.4.
2.1 Strategy
In order to understand the proof of Theorems 2.1 and Theorems 2.2 well, we make a formal spectral analysis to the linearized system of (2.3) which can be written in terms of the divergence-free part and the compressible one :
(2.12) |
It is clearly that the incompressible part just satisfies an ordinary heat equation. Regarding the compressible part , it is convenient to introduce where the new variable satisfies the coupling system:
(2.13) |
Taking the Fourier transform with respect to leads to
(2.14) |
where is the Fourier variable. It is not difficult to check that
Consequently, it is found that the coupling system presents both dissipation and dispersion. In particular, while , the corresponding dispersive structure is closely linked with the so called the Gross-Patavskii equation which reads as
(2.15) |
Based on dispersive estimates of Gross-Patavskii equations established in Gustafson, Nakanishi and Tsai [22, 23], we would take not only optimal smooth effect of heat kernel (see in Figure 1), but also Strichartz estimates ( in Figure 1) into considerations, which enables us to establish a dissipative-dispersive estimate in space (see Lemma 3.1), i.e. area in Figure 1 and obtain some smallness in terms of sufficient large dispersion coefficient .

Based on the dissipative-dispersive estimates and uniform control of , we are able to give the uniform estimates with initial data arbitrary large. Moreover, the incompressible limits are obtained according to different dimensions.
Our second result would focus on the decay rates. Observe the parabolic behavior of the perturbation system, we expect to establish decay for even high order derivatives. Different from the energy method [28] or Gevrey method established in [40], our decay derivation consists of two steps:
-
•
Evolution of negative Besov norm ;
-
•
Decay estimates for high order derivatives.
The main difficulties come from bounding nonlinearities since initial data doesn’t indicates any smallness. The Strichartz estimates would again be our main tool to offer smallness in terms of where we shall carefully deal with different frequency interactions.
Throughout the paper, stands for a generic “constant”. For brevity, means that . It will also be understood that for all .
Finally, the rest of this paper unfolds as follows: in Section 3, we prove the global well-posedness and incompressible limits of solutions. Section 4 is devoted to giving the optimal decay estimates. In the last section (“Appendix”), we recall the classical Littlewood-Paley theory.
3 The global well-posedness and incompressible limit
We focus on the proof of Theorem 2.1 in this section. Before the proof, we shall present some notations concern functional spaces:
(3.1) |
(3.2) |
Also, the following Strichartz space is defined:
(3.3) |
here coincides with (2.8). Moreover, we shall define to present functional space for solutions of (INS):
(3.4) |
We shall first establish the priori estimates of for the solution of (2.3)-(2.4) under the critical regularity. Moreover, we show such a priori estimate is uniform in terms of arbitrary large initial data and if the capillary effect is strong enough, i.e. for some sufficient large. Then the well-posedness is ensured by those local results established in [15] and a bootstramp argument.
3.1 Priori estimates
This subsection is devoted to proving the priori estimate. Without loss of generality, we always assume that . Our main result is to prove
Proposition 3.1.
Proof.
We begin with establishing the linear estimates by bounding the dissipative-dispersive coupling system and incompressible part respectively.
Step1: Dissipative estimates in energy framework for .
The coupling system of could be written as
(3.7) |
Imposing the gradient on the continuity equation, then Fourier localization leads us to
(3.8) |
Denote and , inner product yields
(3.9) |
(3.10) |
(3.11) |
Now to deal with quasi-linear nonlinearity in and in , we have
while it holds
Notice that it also holds
(3.12) |
We immediately deduced from (3.9)-(3.12) that
(3.13) |
Hence taking norm and integral on lead us to
(3.14) |
Step2: Dissipative-dispersive estimates for .
Secondly we shall establish dissipative-dispersive estimates of where one could find some smallness in () space when dispersive coefficient is large. Inspired by [22], we denote , and define , then (3.8) could be rewritten as
Then Duhamel formula yields
(3.15) |
where . The above equation defines a dissipative-dispersive semi-group and we would establish corresponding Strichartz type estimate containing smooth effect under dissipation. Let us first state the following Proposition concern the corresponding semi-group estimate under localization:
Proposition 3.2.
Set . Let and . For any distribution , there holds for
(3.16) |
Above Proposition is obtained by dispersive estimates in terms of parameter , see Theorem 2.1 in [22, 23] and heat kernel estimates under Fourier localization. Since it is fundamental for our analysis, a sketch of it is given in Appendix A. Based on above proposition, we state the following Strichartz type estimates in Besov space which shall be frequently applied in this paper:
Lemma 3.1.
Set , , and . Let satisfies the condition:
(3.17) |
For any satisfies , there holds
(3.18) |
(3.19) |
Proof.
In the case , the optimal smoothing effect of heat kernels, see for example [13], allows us to have
(3.20) |
(3.21) |
As for case , we start from . We begin from , which corresponds to classical Schrdinger admissible pair. By argument, it is enough to prove that
where
By Proposition 3.2, there holds for such that
Since that , by Hardy-Littlewood-Sobolev inequality, we have
(3.23) |
Then a duality argument allows us to have (3.19). For case , we shall utilize the following interpolation
provided
Hence, keep in mind and , there holds
then the interpolation leads us to for
(3.24) |
Similarly we could get to (3.19).
As for case , we follow the similar calculations as but notice critical admissible pair is excluded. ∎
According to Lemma 3.1, we have for satisfies (2.8) such that
(3.25) |
Notice that
hence, we could conclude with
(3.26) |
Step3: Estimates for incompressible part
The incompressible estimates follow similar calculations in [14]. In fact, by Leray projector, the system (INS) could be rewritten as
(3.27) |
while the incompressible part of fulfills
where we take advantages of the fact that for any potential function , there holds . Now define , the error of the incompressible part of fluids satisfies
(3.28) |
where . Then by localization and do inner product with , we reach
Taking advantage of the commutator estimates
and notice
then by maximal regularity of heat equation, there holds
Hence, the Gronwall inequality leads to
(3.29) |
where is a positive constant. Now by combining (3.14), (3.26) with (3.29), one could always find a positive such that for all , we arrive at the linear estimates such that
(3.30) |
and
(3.31) |
Step4: Nonlinear estimates
So what left is to give nonlinear estimates. We begin with nonlinearities in (3.30). Bounding is obtained by
which leads to
(3.32) |
On the other hand, for , we immediately have
Since that there holds
(3.33) |
provided satisfies (2.8), we obtain
(3.34) |
To deal with interaction of , we use the Bony decomposition
We have the following estimate such that
provided . By taking in Lemma 3.1, there holds
Consequently, the Cauchy inequality implicates that
(3.35) |
On the other hand, there holds
(3.36) |
Hence, combining (3.35) with (3.36) yields
(3.37) |
Next we turn to . For the convection term , we can follow similar steps as (3.37) which yields
(3.38) |
(3.40) |
For the viscosity term , , we shall estimates the term where
Similar calculations on shares
(3.41) |
Next we turn to the pressure term , we have
Since that
(3.42) |
we arrive at
(3.43) |
Finally we bound Korteweg nonlinearities , in fact, it holds
(3.44) |
By commutator estimates we have
(3.45) |
Therefore, combining linear estimates (3.30) and nonlinear estimates above, we finish the proof of (3.5). As for nonlinear estimates in (3.31), we have
(3.46) |
On the other hand, repeating calculations in (3.36)-(3.35) and (3.41), we obtain
(3.47) |
which leads to (3.6) and we finish the proof of Proposition 3.1. ∎
3.2 Bootstrap and continuation argument
Denote , we state the following Lemma concerns uniform bound for :
Lemma 3.2.
Assume to be finite or infinite and is bounded, then there exists a large enough depends on such that it holds true for all
(3.48) |
(3.49) |
Proof.
By selecting the satisfies
we could conclude on such that for all
which contracts with definition of and we could extend to beyond . ∎
Moreover, we introduce the following local well-posedness has been proved in [15]:
Lemma 3.3.
Therefore, by a standard bootstrap argument, we could prove that once large enough, the solution could be extended to while the incompressible limit is ensured by (3.6).
4 Decay rates
In this section, we present the proof of Theorem 2.2 where we shall establish decay rates for arbitrary order derivatives. Our method includes two steps where we first reveal the evolution of regularity under . Then we would establish the decay rates for any order derivatives.
4.1 Evolution of norm under regularity
In this section, we establish uniform bounds of the solution in negative Besov norms. More precisely, it is shown that for any
(4.1) |
where depends on the initial norm . The key step is to claim the following lemma concerns the evolution of norm under the negative regularity .
Lemma 4.1.
Assume to be the solution established in Theorem 2.1. Let fulfills . It holds that
(4.2) |
Proof.
Let us first recall (3.13), integral on time leads us to
(4.3) |
Hence, taking norm yields
(4.4) |
while for the incompressible part, we do the similar calculations and reach
(4.5) |
For nonlinear terms, we start with , indeed, we have
(4.6) |
provided . Similarly we could estimate terms . For commutators, we have
Now taking , interpolation allows us to have
and
thus we find
For the quasi-linear ones, we take a look on , we actually have
with . Again, the Cauchy inequality allows us to arrive at
Other terms follow similar calculations and hence, Lemma 4.1 is proved. ∎
4.2 Decay estimates of arbitrary order derivatives
In this subsection, we would establish decay rates for derivatives. Let us first introduce the following signal:
(4.8) |
where is the index fulfills . Moreover, we shall define to present the decay functional space for solutions of (INS):
(4.9) |
Our main purpose is to establish the following Lemma:
Proposition 4.1.
Proof.
Before the detailed calculations, for clarify, we write and to represent
Applying derivatives on the variable and repeating the energy under localization in (3.9) yields
Then taking advantages of the Gronwall inequality and notice the following estimate
where we use for , we immediately have
(4.11) |
Then after taking norm, the following inequality holds
(4.12) |
Very similarly, we obtain for such that
(4.13) |
and we conclude with
(4.14) |
where represents nonlinearities of integral of time on while is the integral on . Now we start to deal with different time integral intervals respectively.
4.2.1 Nonlinear estimates on
The estimates on is not problematic, we shall take the term in as an example where we have
Since that
Therefore, calculations as in Section 3 allows us to have
So does estimates for those semi-linear ones . In terms of the pressure term , we have
which yields
For quasi-linear nonlinearity , we pay attention to where
which implies
Similarly we could estimates other terms. Finally we turn to commutators, here, we shall take as an example while the other one enjoys exact same calculations. Indeed we have
The former one enjoys similar calculations as quasi-linear ones, for the latter one, we have
where . Keep in mind the following interpolation
and
with , we arrive at
Similar calculations on another commutator allows us to finish nonlinear estimates on and we finish with
(4.16) |
4.2.2 Nonlinear estimates on
Next we term to bound . Again, we start with , for the first one, we have
Observe that for fixed and
for some positive , there naturally holds
(4.17) |
Now Bony decomposition
we have for all
(4.18) |
(4.19) |
(4.20) |
Now for the first one, if , there holds
Thanks to (3.33), we deduce
(4.21) |
Now we turn to consider , in fact, it is similarly handled as (4.21) where
As for , again we have Bony decomposition
For the first one, one shall decompose the frequency into
and it holds that
We conclude for any
(4.23) |
On the other hand, we have
where . Finally, we have
Consequently, by selecting , we finally have
(4.26) |
So does estimates for those semi-linear ones while for , there holds
(4.27) |
Next we focus on those quasi-linear ones and take as an example. We have
Since that
we have
(4.30) |
At this end, we turn to commutator. It could be written as
For , we have
Classical commutator estimates under localization indicates
which implies
As for and , we have
provided . In consider of , we actually have
(4.31) |
Therefore, it holds
Above inequalities indicate that
(4.32) |
Finally, combining (4.14) with (4.16), (4.16) allows us to arrive at (4.10) by taking the supremum norm of . ∎
5 Appendix
In this appendix, we would recall some classical theory concerns Fourier localization technique. The Fourier transform of a function (the Schwarz class) is denoted by
For , we denote by the usual Lebesgue space on with the norm .
For convenience of reader, we would like to recall the Littlewood-Paley decomposition, Besov spaces and related analysis tools. The reader is referred to Chap. 2 and Chap. 3 of [1] for more details. Let be a smooth function valued in , such that is supported in the ball . Set . Then is supported in the shell so that
For any tempered distribution , one can define the homogeneous dyadic blocks and homogeneous low-frequency cut- off operators:
Furthermore, we have the formal homogeneous decomposition as follows
Also, throughout the paper, and represent the high frequency part and low frequency part of respectively where
with some given constant .
Denote by the tempered distributions modulo polynomials . As we known, the homogeneous Besov spaces can be characterised in terms of the above spectral cut-off blocks.
5.1 Homogeneous Besov space
Definition 5.1.
For and , the homogeneous Besov spaces are defined by
where
with the usual convention if .
We often use the following classical properties of Besov spaces (see [1]):
Scaling invariance: For any and , there exists a constant such that for all and , we have
Completeness: is a Banach space whenever or and .
Interpolation: The following inequality is satisfied for and :
with .
Action of Fourier multipliers: If is a smooth homogeneous of degree function on then
The embedding properties will be used several times throughout the paper.
Proposition 5.1.
-
•
For any we have the continuous embedding .
-
•
If , and then .
-
•
The space is continuously embedded in the set of bounded continuous functions (going to zero at infinity if, additionally, ).
In addition, we also recall the classical Bernstein inequality:
(5.33) |
that holds for all function such that for some and , if and .
More generally, if we assume to satisfy for some and , then for any smooth homogeneous of degree function on and , we have (see e.g. Lemma 2.2 in [1]):
(5.34) |
An obvious consequence of (5.33) and (5.34) is that for all .
Moreover, a class of mixed space-time Besov spaces are also used when studying the evolution PDEs, which were firstly proposed by J.-Y. Chemin and N. Lerner in [11].
Definition 5.2.
For , the homogeneous Chemin-Lerner spaces are defined by
where
with the usual convention if .
The Chemin-Lerner space may be linked with the standard spaces by means of Minkowski’s inequality.
Remark 5.1.
It holds that
5.2 Product estimates and composition estimates
The product estimates in Besov spaces play a fundamental role in bounding bilinear terms in (2.3) (see [1]).
Proposition 5.2.
Let and . Then is an algebra and
If , , then
If , , , then
System (2.3) also involves compositions of functions that are handled according to the following estimates.
Proposition 5.3.
Let be smooth with . For all and we have for , and
with depending only on , (and higher derivatives), , and .
In the case then implies that , and
where is some constant depends on , and .
5.3 Proof of Proposition 3.2
Taking advantages of interpolation, it is enough to prove the case . Inspired by Young inequality and heat kernel estimates under Fourier localization, we immediately have
(5.35) |
where . Then (3.33) is given if the following estimate holds true:
(5.36) |
The (5.36) is proved by stationary phase method given in [21] and we shall focus on case while is more direct by van der Corput’s lemma, see [44]. Actually, denote by the Bessel function, one could write
(5.37) |
where . Then it is not difficult to see
Therefore, we would consider case (i). and (ii). respectively. For case (i), the corresponding behaviors are closely linked with wave operator and we start with . In fact, denote , integral by parts in terms of immediately yields
where . Keep in mind that for any
the vanishing property of the Bessel function at the origin indicates
(5.39) |
Hence, taking yields (5.36). For case , we rewrite (5.37) into
(5.40) |
where
At this moment, we start with fulfills . Denote , it is clear that , therefore, by van der Corput¡¯s lemma and pointwise estimates for (see in [21]), there holds
which implies (5.36) by the fact . For and , there holds
we could repeat same calculations as (5.3)-(5.39) and conclude with (5.36).
The case is treated as low frequencies above, in which part could be regarded as a Schrdinger semi-group with parameter . We omit the detailed proof and conclude with (5.36).
Acknowledgments:
The author sincerely thanks Professor Nakanishi Kenji and Professor Jiang Xu for helpful suggestions and discussions in the course of this research.
Conflicts of interest statement:
The author does not have any possible conflict of interest.
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