Abstract
In this paper, we prove the existence of global weak solutions for 3D compressible Navier–Stokes equations with degenerate viscosity. The method is based on the Bresch and Desjardins (Commun Math Phys 238:211–223 2003) entropy conservation. The main contribution of this paper is to derive the Mellet and Vasseur (Commun Partial Differ Equ 32:431–452, 2007) type inequality for weak solutions, even if it is not verified by the first level of approximation. This provides existence of global solutions in time, for the compressible barotropic Navier–Stokes equations. The result holds for any \(\gamma >1\) in two dimensional space, and for \(1<\gamma <3\) in three dimensional space, in both case with large initial data possibly vanishing on the vacuum. This solves an open problem proposed by Lions (Mathematical topics in fluid mechanics. Vol. 2. Compressible models, 1998).
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1 Introduction
The existence of global weak solutions of compressible Navier–Stokes equations with degenerate viscosity has been a long standing open problem. The objective of this current paper is to establish the existence of global weak solutions to the following 3D compressible Navier–Stokes equations:
with initial data
where \(P=\rho ^{\gamma },\,\gamma >1,\) denotes the pressure, \(\rho \) is the density of fluid, \(\mathbf{u}\) stands for the velocity of fluid, \(\mathbb {D}\mathbf{u}=\frac{1}{2}[\nabla \mathbf{u}+\nabla ^T\mathbf{u}]\) is the strain tensor. For the sake of simplicity we will consider the case of bounded domain with periodic boundary conditions, namely \(\Omega =\mathbb {T}^3\).
In the case \(\gamma =2\) in two dimensional space, this corresponds to the shallow water equations, where \(\rho (t,x)\) stands for the height of the water at position x, and time t, and \(\mathbf{u}(t,x)\) is the 2D velocity at the same position, and same time. In this case, the physical viscosity was formally derived as in (1.1) (see Gent [15]). In this context, the global existence of weak solutions to equations (1.1) is proposed as an open problem by Lions in [27]. A careful derivation of the shallow water equations with the following viscosity term
can be found in the recent work by Marche [28]. Bresch and Noble [5, 6] provided the mathematical derivation of viscous shallow-water equations with the above viscosity. However, this viscosity cannot be covered by the BD entropy.
Compared with the incompressible flows, dealing with the vacuum is a very challenging problem in the study of the compressible flows. Kazhikhov and Shelukhin [25] established the first existence result on the compressible Navier–Stokes equations in one dimensional space. Due to the difficulty from the vacuum, the initial density should be bounded away from zero in their work. It has been extended by Serre [34] and Hoff [20] for the discontinuous initial data, and by Mellet and Vasseur [33] in the case of density dependent viscosity coefficient, see also in spherically symmetric case [10, 11, 18]. For the multidimensional case, Matsumura and Nishida [29–31] first established the global existence with the small initial data, and later by Hoff [21–23] for discontinuous initial data. To remove the difficulty from the vacuum, Lions in [27] introduced the concept of renormalized solutions to establish the global existence of weak solutions for \(\gamma >\frac{9}{5}\) concerning large initial data that may vanish, and then Feireisl et al. [13] and Feireisl [14] extended the existence results to \(\gamma >\frac{3}{2}\), and even to Navier–Stokes-Fourier system. In all above works, the viscosity coefficients were assumed to be fixed positive numbers. This is important to control the gradient of the velocity, in the context of solutions close to an equilibrium, a breakthrough was obtained by Danchin [8, 9]. However, the regularity and the uniqueness of the weak solutions for large data remain largely open for the compressible Navier–Stokes equations, even as in two dimensional space, see Vaigant and Kazhikhov [37] (see also Germain [16], and Haspot [19], where criteria for regularity or uniqueness are proposed).
The problem becomes even more challenging when the viscosity coefficients depend on the density. Indeed, the Navier–Stokes equations (1.3) is highly degenerated at the vacuum because the velocity cannot even be defined when the density vanishes. It is very difficult to deduce any estimate of the gradient on the velocity field due to the vacuum. This is the essential difference from the compressible Navier–Stokes equations with the non-density dependent viscosity coefficients. The first tool of handling this difficulty is due to Bresch et al., see [3], where the authors developed a new mathematical entropy to show the structure of the diffusion terms providing some regularity for the density. An early version of this entropy can be found in 1D for constant viscosity in [35, 36]. The result was later extended for the case with an additional quadratic friction term \(r\rho |\mathbf{u}|\mathbf{u}\), refer to Bresch and Desjardins [1, 2] and the recent results by Bresch et al. [4] and by Zatorska [39]. Unfortunately, those bounds are not enough to treat the compressible Navier–Stokes equations without additional control on the vacuum, as the introduction of capillarity, friction, or cold pressure.
The primary obstacle to prove the compactness of the solutions to (1.3) is the lack of strong convergence for \(\sqrt{\rho }\mathbf{u}\) in \(L^2\). We cannot pass to the limit in the term \(\rho \mathbf{u}\otimes \mathbf{u}\) without the strong convergence of \(\sqrt{\rho }\mathbf{u}\) in \(L^2\). This is an other essential difference with the case of non-density dependent viscosity. To solve this problem, a new estimate is established in Mellet and Vasseur [32], providing a \(L^{\infty }(0,T;L\log L(\Omega ))\) control on \(\rho |\mathbf{u}|^2\). This new estimate provides the weak stability of smooth solutions of (1.3).
The classical way to construct global weak solutions of (1.3) would consist in constructing smooth approximation solutions, verifying the priori estimates, including the Bresch–Desjardins entropy, and the Mellet–Vasseur inequality. However, those extra estimates impose a lot of structure on the approximating system. Up to now, no such approximation scheme has been discovered. In [1, 2], Bresch and Desjardins propose a very nice construction of approximations, controlling both the usual energy and BD entropy. This allows the construction of weak solutions, when additional terms—as drag terms, or cold pressure, for instance—are added. Note that their result holds true even in dimension 3. However, their construction does not provide the control of the \(\rho \mathbf{u}\) in \(L^{\infty }(0,T;L\log L(\Omega ))\).
The objective of our current work is to investigate the issue of existence of solutions for the compressible Navier–Stokes equations (1.1) with large initial data in 3D. Jungel [24] studied the compressible Navier–Stokes equations with the Bohm potential \(\kappa \rho \left( \frac{\Delta \sqrt{\rho }}{\sqrt{\rho }}\right) \), and obtained the existence of a particular weak solution. Moreover, he deduced an estimate of \(\nabla \rho ^{\frac{1}{4}}\) in \(L^4((0,T)\times \Omega ),\) which is very useful in this current paper. In [17], Gisclon and Lacroix-Violet showed the existence of usual weak solutions for the compressible quantum Navier–Stokes equations with the addition of a cold pressure. Independently, we proved the existence of weak solutions to the compressible quantum Navier–Stokes equations with damping terms, see [38]. This result is very similar to [17]. Actually, it is written in [17] that they can handle in a similar way the case with the drag force. Unfortunately, the case with the cold pressure is not suitable for our purpose.
Building up from the result [38] (a variant of [17]), we establish the logarithmic estimate for the weak solutions similar to [32]. For this, we first derive a “renormalized” estimate on \(\rho \varphi (|\mathbf{u}|)\), for \(\varphi \) nice enough, for solutions of [38] with the additional drag forces. It is showed to be independent on the strength of those drag forces, allowing to pass into the limit when those forces vanish. Since this estimate cannot be derived from the approximation scheme of [38], it has to be carefully derived on weak solutions. After passing into the limit \(\kappa \) goes to 0, we can recover the logarithmic estimate, taking a suitable function \(\varphi \). This is reminiscent to showing the conservation of the energy for weak solutions to incompressible Navier–Stokes equations. This conservation is true for smooth solutions. However, it is a long standing open problem, whether Leray–Hopf weak solutions are also conserving energy.
Equation (1.1) can be seen as a particular case of the following Navier–Stokes
where the viscosity coefficients \(\mu (\rho )\) and \(\lambda (\rho )\) depend on the density, and may vanish on the vacuum. When the coefficients verify the following condition:
the system still formally verifies the BD estimate. However, the construction of Bresch and Desjardins in [2] is more subtle in this case. Up to now, construction of weak solutions are known, only verifying a fixed combination of the classical energy and BD entropy (see [4]) in the case with additional terms. Those solutions verify the decrease of this so-called \(\kappa \)-entropy,Footnote 1 but not the decrease of Energy and BD entropy by themselves. The extension of our result, in this context, is considered in [7].
Without loss of generality, we will fix \(2\nu =1\) from now on. Note, that we can recover the general case by the simple change of variables \((\bar{\rho },\bar{\mathbf{u}})(t,x)=(\rho ,\mathbf{u})(2\nu t,2\nu x).\)
The basic energy inequality associated to (1.1) reads as
where
and
Remark that those a priori estimates are not enough to show the stability of the solutions of (1.1), in particular, for the compactness of \(\rho ^{\gamma }.\) Fortunately, a particular mathematical structure was found in [1, 3], which yields the bound of \(\nabla \rho ^{\frac{\gamma }{2}}\) in \(L^{2}(0,T;L^2(\Omega )) \). More precisely, we have the following Bresch-Desjardins entropy
Thus, the initial data should be given in such way that
Remark 1.1
The initial condition \(\nabla \sqrt{\rho _0}\in L^2(\Omega )\) comes from the Bresch-Desjardins entropy.
The primary obstacle to prove the compactness of the solutions to (1.6) with \(r_0=r_1=0\) is the lack of strong convergence for \(\sqrt{\rho }\mathbf{u}\) in \(L^2\). Jüngel proved in [24] the existence of particular weak solutions with test function \(\rho \varphi ,\) which has been introduced in [3]. The main idea of his paper is to rewrite quantum Navier–Stokes equations as a viscous quantum Euler system by means of the effective velocity. He also proved Inequality (1.9) in [24]. This is crucial to get a key lemma in this current paper. Motivated by the works of [1, 3, 24], we proved in [38] the existence of weak solutions to (1.6), and Inequality (1.9). The \(r_0\) and \(r_1\) terms provide compactness on \(\rho \mathbf{u}\otimes \mathbf{u}\) in \(L^1\), and the strong convergence of \(\sqrt{\rho }\mathbf{u}\) in \(L^2.\) Let us recall the following existence result from [38].
Proposition 1.1
For any \(\kappa \ge 0\), there exists a global weak solution to the following system
with the initial data (1.2) and satisfying (1.5) and \(-r_0\int _{\Omega }\log _{-}\rho _0\,dx<\infty \). In particular, we have the energy inequality
where
and
and the BD-entropy
where \(\log _{-}g=\log \min (g,1).\)
We have the following inequality for any weak solution \((\rho ,\mathbf{u})\)
where C only depends on the initial data.
Moreover, the weak solution \((\rho ,\mathbf{u})\) has the following properties
If we use \((\rho _{\kappa },\mathbf{u}_{\kappa })\) to denote the weak solution for \(\kappa >0\), then
where \((\rho ,\mathbf{u})\) in (1.11) is a weak solution to Eq. (1.6) with initial data (1.2) for \(\kappa =0.\)
Remark 1.2
The energy inequality (1.7) yields the following estimates
The BD entropy (1.8) yields the following bounds on the density \(\rho \):
and
where C is bounded by the initial data, uniformly on \(r_0, r_1\) and \(\kappa \).
In fact, (1.13) yields
in three dimensional space.
Remark 1.3
Inequality (1.9) is a consequence of the bound on (1.14). This was used already in [24]. The estimate for the full system (1.6) is proved in [38].
Remark 1.4
The weak formulation of momentum equation in (1.1) reads as
for any test function \(\psi .\)
Our first main result reads as follows:
Theorem 1.1
For any \(\delta \in (0,2)\), there exists a constant C depending only on \(\delta \), such that the following holds true. There exists a weak solution \((\rho ,\mathbf{u})\) to (1.6) with \(\kappa =0\) verifying all the properties of Proposition 1.1, and satisfying the following Mellet–Vasseur type inequality for every \(T>0\), and almost every \(t<T\):
where \(\gamma >1\) in two dimensional space, and \(1<\gamma <3\) in three dimensional space.
Remark 1.5
The right hand side of the above inequality can be bounded by the initial data. In particular, it does not depend on \(r_0\) and \(r_1\). This theorem will provide the strong convergence of \(\sqrt{\rho }\mathbf{u}\) in space \(L^2(0,T;\Omega )\) when \(r_0, r_1\) converge to 0. It is the key tool to obtain the existence of weak solutions, by following the different steps of [32].
Remark 1.6
The condition on \(\gamma \) are the same in Mellet and Vasseur [32]. They are needed to get a finite bound of the right hand side of the inequality. For \(\delta \) small enough we need \(\rho \in L^p(0,T;L^p(\Omega ))\) with \(p>2\gamma -1.\) The estimate of Lemma 4.1 gives \(\rho \in L^p(0,T;L^p(\Omega ))\) for any \(1\le p<\infty \) in dimension 2, and \(\rho \in L^{\frac{5\gamma }{3}}(0,T;L^{\frac{5\gamma }{3}}(\Omega ))\) in dimension 3. Note that \(2\gamma -1<\frac{5\gamma }{3}\) for \(\gamma <3.\)
We give the definition of the weak solution \((\rho ,\mathbf{u})\) to the initial value problem (1.1)–(1.2) in the following sense: for any \(t\in [0,T]\),
-
(1.2) holds in \(\mathcal {D'}(\Omega )\),
-
(1.4) holds for almost every \(t\in [0,T]\),
-
(1.1) holds in \(\mathcal {D'}((0,T)\times \Omega ))\) and the following regularities are satisfied
$$\begin{aligned}&\rho \ge 0, \quad \rho \in L^{\infty }([0,T];L^{\gamma }(\Omega )),\\&\rho (1+|\mathbf{u}|^2)\ln (1+|\mathbf{u}|^2)\in L^{\infty }(0,T;L^1(\Omega )),\\&\nabla \rho ^{\frac{\gamma }{2}}\in L^2(0,T;L^2(\Omega )),\quad \nabla \sqrt{\rho }\in L^{\infty }(0,T;L^2(\Omega )),\\&\sqrt{\rho }\mathbf{u}\in L^{\infty }(0,T;L^2(\Omega )),\quad \sqrt{\rho }\nabla \mathbf{u}\in L^2(0,T;L^2(\Omega )). \end{aligned}$$
Remark 1.7
The regularity \(\nabla \sqrt{\rho }\in L^{\infty }(0,T;L^2(\Omega ))\) and \(\nabla \rho ^{\frac{\gamma }{2}}\in L^2(0,T;L^2(\Omega ))\) come from the Bresch–Desjardins entropy.
As a sequence of Theorem 1.1, our second main result reads as follows:
Theorem 1.2
Let \((\rho _0,\,\rho _0 u_0)\) satisfy (1.5) and
Then, for any \(T>0\), for \(\gamma >1\) in two dimensional space, and \(1<\gamma <3\) in three dimensional space, there exists a weak solution of (1.1)–(1.2) on (0, T).
We cannot obtain directly the estimate of Theorem 1.1 from (1.6) with \(\kappa =0\), because we do not have enough regularity on the solutions. But, the estimate is not true for the solutions of (1.6) for \(\kappa >0\). The idea is to obtain a control on
at the level \(\kappa >0\), for a \(\varphi _n\), suitable bounded approximation of \((1+|\mathbf{u}|^2)\ln (1+|\mathbf{u}|^2)\), and a suitable cut-off function \(\phi \) of \(\rho \), controlling both the large and small \(\rho \). The first step (see Sect. 2) consists in showing that we can control (uniformly with respect to \(\kappa \)) this quantity, for any weak solutions of (1.6) with \(\kappa >0\). This has to be done in several steps, taking into account the minimal regularity of the solutions, the weak control of the solutions close to the vacuum, and the extra capillarity higher order terms. In the limit \(\kappa \) goes to zero, the cut-off function \(\phi \) has to converge to one in a special rate associated to \(\kappa \) (see Sects. 3, 4). For any weak limit to (1.6) obtained by limit \(\kappa \) converges to 0, this provides a (uniform in \(n, r_0\), and \(r_1\)) bound to:
Note that the bound is not uniform in n, for \(\kappa \) fixed. However, it becomes uniform in n at the limit \(\kappa \) converges to 0. In Sect. 5, we pass into the limit n goes to infinity, obtaining a uniform bound with respect to \(r_0\) and \(r_1\) of
Section 6 is devoted to the limit \(r_1\) and \(r_0\) converges to 0. The uniform estimate above provides the strong convergence of \(\sqrt{\rho }\mathbf{u}\) needed to obtain the existence of global weak solutions to (1.1) with large initial data.
2 Approximation of the Mellet–Vasseur type inequality
In this section, we construct an approximation of the Mellet–Vasseur type inequality for any weak solution to the following level of approximation system
with Initial data (1.5), verifying in addition that \(\rho _0\ge \frac{1}{m_0}\) for \(m_0>0\) and \(\sqrt{\rho _0}\mathbf{u}_0\in L^{\infty }(\Omega ).\) This restriction on the initial data will be useful later to get the strong convergence of \(\sqrt{\rho }\mathbf{u}\) when t converges to 0. This restriction will be canceled at the very end, (see Sect. 6).
In the same line of Bresch–Desjardins [1, 2, 24], we constructed the weak solutions to the system (1.6) for any \(\kappa \ge 0\) by the natural energy estimates and the Bresch–Desjardins entropy, see [38]. The term \(r_1\rho |\mathbf{u}|^2\mathbf{u}\) turns out to be essential to show the strong convergence of \(\sqrt{\rho }\mathbf{u}\) in \(L^2(0,T;L^2(\Omega ))\). Unfortunately, it is not enough to ensure the strong convergence of \(\sqrt{\rho }\mathbf{u}\) in \(L^2(0,T;L^2(\Omega ))\) when \(r_0\) and \(r_1\) vanish.
We define two \(C^\infty \), nonnegative cut-off functions \(\phi _m\) and \(\phi _K\) as follows:
where \(m>0\) is any real number, and \(|\phi '_m|\le 2m\); and \(\phi _K(\rho )\in C^{\infty }({\mathbb R})\) is a nonnegative function such that
where \(K>0\) is any real number, and \(|\phi '_K|\le \frac{2}{K}\).
We define \(\mathbf{v}=\phi (\rho )\mathbf{u}\), and \(\phi (\rho )=\phi _m(\rho )\phi _K(\rho ).\) The following lemma will be very useful to construct the approximation of the Mellet–Vasseur type inequality. The structure of the \(\kappa \) quantum term in [24] is essential to get this lemma in 3D. It seems not possible to get it from the Korteweg term of [1] in 3D.
Lemma 2.1
For any fixed \(\kappa >0\), we have
where the constant C depend on \(\kappa >0, r_1, K\) and m; and
Proof
For any fixed \(\kappa >0,\) (1.9) gives us
For \(\mathbf{v}\), we calculate it as follows
and hence
where we used the definition of the function \(\phi (\rho )\). Indeed, there exists \(C>0\) such that
for any \(\rho >0.\)
Meanwhile,
Using (1.12), (1.13) and (1.17), one obtains
By (1.12) and (1.17), we conclude
Thus, we have
\(\square \)
We introduce a new nonnegative cut-off function \(\varphi _n\) which is in \(C^1({\mathbb R}^3)\):
where \(\tilde{\varphi }_n\) is given on \({\mathbb R}^+\) by
with \(\tilde{\varphi }'_n(0)=0, \tilde{\varphi }_n(0)=0,\) and \(C_n=e(1+n)^2-1\).
Here we gather the properties of the function \(\tilde{\varphi }_n\) in the following lemma:
Lemma 2.2
Let \(\varphi _n\) and \(\tilde{\varphi }_n\) be defined as above. Then they verify
-
(a) For any \(\mathbf{u}\in {\mathbb R}^3\), we have
$$\begin{aligned} \varphi _n''(\mathbf{u})=2\left( 2\tilde{\varphi }_n''(|\mathbf{u}|^2)\mathbf{u}\otimes \mathbf{u}+\mathbf {I} \tilde{\varphi }_n'(|\mathbf{u}|^2)\right) , \end{aligned}$$(2.6)where \(\mathbf {I}\) is \(3\times 3\) identity matrix.
-
(b) \(|\tilde{\varphi }''_n(y)|\le \frac{1}{1+y}\) for any \(n>0\) and any \(y\ge 0\).
-
(c)
$$\begin{aligned} \tilde{\varphi }_n'(y)\left\{ \begin{array}{ll} =1+\ln (1+y) &{}\quad \text { if }\,0\le y\le n, \\ =0&{}\quad \text { if }\, y\ge C_n, \\ \ge 0, \text { and } \le 1+\ln (1+y)&{}\quad \text { if }\, n<y\le C_n. \end{array}\right. \end{aligned}$$(2.7)In one word, \(0\le \tilde{\varphi }'_n\le 1+\ln (1+y)\) for any \(y\ge 0,\) and it is compactly supported.
-
(d) For any given \(n>0,\) we have
$$\begin{aligned} |\varphi ^{\prime \prime }_n(\mathbf{u})|\le 6+2\ln (1+n) \end{aligned}$$(2.8)for any \(\mathbf{u}\in {\mathbb R}^3.\)
-
(e)
$$\begin{aligned} \tilde{\varphi }_n(y)=\left\{ \begin{array}{ll} (1+y)\ln (1+y) &{}\quad \text { if }\,0\le y< n,\\ 2(1+\ln (1+n))y-(1+y)\ln (1+y)+2(\ln (1+n)-n), &{}\quad \text { if } \,n\le y\le C_n,\\ e(1+n)^2-2n-2 &{}\quad \text { if } \, y \ge C_n, \end{array}\right. \nonumber \\ \end{aligned}$$(2.9)\(\tilde{\varphi }_n(y)\) is a nondecreasing function with respect to y for any fixed n, and it is a nondecreasing function with respect to n for any fixed y, and
$$\begin{aligned} \tilde{\varphi }_n(y)\rightarrow (1+y)\ln (1+y)\,\,\text {a.e.} \end{aligned}$$(2.10)as \(n\rightarrow \infty .\)
The proof is easy. We give it in the appendix for the sake of completeness.
The first step of constructing the approximation of the Mellet–Vasseur type inequality is the following lemma:
Lemma 2.3
For any weak solution to (2.1) constructed in Proposition 1.1, and any \(\psi (t)\in \mathfrak {D}(-1,+\infty )\), we have
where
where \(\mathbb {I}\) is an identical matrix.
In this proof, \(\kappa , m\) and K are fixed. So the dependence of the constants appearing in this proof will not be specified.
Multiplying \(\phi (\rho )\) on both sides of the second equation of (2.1), we have
Remark 2.1
Both \(\nabla \sqrt{\rho }\) and \(\rho _t\) are functions, so the above equality are justified by regularizing \(\rho \) and passing into the limit.
Remark 2.2
At the very end of the proof, functions (5.4) will be used as \(\psi \) functions. Note that they are non-increasing. The functions \((-\psi _t)\) can be seen as regularizations of the Dirac mass \(\delta (t-\tilde{t})\) at \(t=\tilde{t}\), for a fixed \(\tilde{t}>0\).
We can rewrite the above equation as follows
where we used
and \(\mathbb {S}\) and \(\mathbf {F}\) are as in (2.12). Since \(\sqrt{\rho }\phi (\rho )\) and \(\rho \phi (\rho )\) is bounded, and by means of (1.9) and (1.12)–(1.16), we find
Note that those bounds depend on K and \(\kappa .\)
We first introducing a test function \(\psi (t)\in \mathfrak {D}(0,+\infty )\). Essentially this function vanishes for t close \(t=0\). We will later extend the result for \(\psi (t)\in \mathfrak {D}(-1,+\infty )\). We define a new function \(\Phi =\overline{\psi (t)\varphi '_n(\overline{\mathbf{v}})}\), where \(\overline{f(t,x)}=f*\eta _{k}(t,x), k\) is a small enough number. Note that, \(\psi (t)\) is compactly supported in \((0,\infty ), \Phi \) is well defined on \((0,\infty )\) for k small enough. We use it to test (2.13) to have
which in turn gives us
The first term in (2.14) can be calculated as follows
where
Thanks to the first equation in (2.1), the second term in (2.14) is given by
and
Note that, \(\overline{\mathbf{v}}\) converges to \(\mathbf{v}\) almost everywhere and
So, up to a subsequence, we find
\(\varphi '_n(\overline{\mathbf{v}})\) converges to \(\varphi '_n(\mathbf{v})\) almost everywhere, and it is uniformly bounded in \( L^{\infty }(0,T;\Omega ),\) thus
Noticing that
this yields
Since \(\overline{ \mathbb {S}}\) converges to \( \mathbb {S}\) strongly in \( L^2(0,T;L^2(\Omega )),\) and \( \varphi ''_n(\overline{\mathbf{v}})\) converges to \(\varphi ''_n(\mathbf{v})\) almost everywhere and uniformly bounded in \( L^{\infty }((0,T)\times \Omega ),\) the following ones
converges to
To handle \(R_1\) and \(R_2\), we use the following lemma due to Lions, see [26].
Lemma 2.4
Let \(f\in W^{1,p}({\mathbb R}^N),\,g\in L^{q}({\mathbb R}^N)\) with \(1\le p,q\le \infty \), and \(\frac{1}{p}+\frac{1}{q}\le 1\). Then, we have
for some \(C\ge 0\) independent of \(\varepsilon , f\) and g, r is determined by \(\frac{1}{r}=\frac{1}{p}+\frac{1}{q}.\) In addition,
as \(\varepsilon \rightarrow 0\) if \(r<\infty .\)
This lemma includes the following statement.
Lemma 2.5
Let \(f_t\in L^p(0,T),\,g\in L^{q}(0,T)\) with \(1\le p,q\le \infty \), and \(\frac{1}{p}+\frac{1}{q}\le 1\). Then, we have
for some \(C\ge 0\) independent of \(\varepsilon , f\) and g, r is determined by \(\frac{1}{r}=\frac{1}{p}+\frac{1}{q}.\) In addition,
as \(\varepsilon \rightarrow 0\) if \(r<\infty .\)
With Lemma 2.4 and Lemma 2.5 in hand, we are ready to handle the terms \(R_1\) and \(R_2\). For \(\kappa >0,\) by Lemma 2.1 and Poincaré inequality, we have \(\mathbf{v}\in L^2(0,T;L^6(\Omega ))\). Lemma 2.1 gives us
Thus, applying Lemma 2.5, we have
Similarly, Lemma 2.4 gives us
Letting k goes to zero in (2.17), and using (2.18)–(2.23), we derive
for any test function \(\psi \in \mathfrak {D}(0,\infty ).\)
Now, we need to consider the test function \(\psi (t)\in \mathfrak {D}(-1,\infty ).\) For this, we need the continuity of \(\rho (t)\) and \((\sqrt{\rho }\mathbf{u})(t)\) in the strong topology at \(t=0\).
In fact, Proposition 1.1 gives us
which implies
thanks to Theorem 3 on page 287, see [12]. Similarly, we have
due to
Meanwhile, we have
and hence
On the other hand, we see
Note that,
and using (1.7), (2.26) and the convexity of \(\rho \mapsto \rho ^{\gamma }\), one obtains
By Proposition 1.1, we have
We consider \(B_1\) as follows
and use (2.26) and (2.29) to have \(B_1=0.\)
Since \(m\ge m_0\), and \(\rho _0\ge \frac{1}{m_0}\), we find
Thus, we have
which in turn gives us
From (2.25) and (2.30), we deduce
Choosing the following test function for (2.24),
we have
Passing into the limit as \(\tau \rightarrow 0\), this gives us
3 Recover the limits as \(m\rightarrow \infty \)
In this section, we want to recover the limits from (2.11) as \(m\rightarrow \infty .\) Here, we should remark that \((\rho ,\mathbf{u})\) is any fixed weak solution to (2.1) verifying Proposition 1.1 with \(\kappa >0\). For any fixed weak solution \((\rho ,\mathbf{u}), \phi _m(\rho )\) converges to 1 almost everywhere for (t, x), and it is uniform bounded in \(L^{\infty }(0,T;\Omega ),\) and
Thus, we find
as \(m\rightarrow \infty .\) The Dominated Convergence Theorem allows us to have
as \(m\rightarrow \infty ,\) and hence,
for any \(1\le p<\infty \). Thus, we can show that
and
as \(m\rightarrow \infty .\)
Meanwhile, for any fixed \(\rho \), we have
as \(m\rightarrow \infty .\)
Calculating \(|\phi '_m(\rho )|\le 2m\) as \(\frac{1}{2m}\le \rho \le \frac{1}{m},\) and otherwise, \(\phi '_m(\rho )=0,\) thus,
To pass into the limits in (2.31) as \(m\rightarrow \infty ,\) we rely on the following Lemma:
Lemma 3.1
If
\(f\in L^1((0,T)\times \Omega )\), then we have
and
Proof
We have
For \(I_1\): \(\phi _m(\rho )f\rightarrow f\) a.e. for (t, x) and
by Lebesgue’s Dominated Convergence Theorem, we find
as \(m\rightarrow \infty ,\) which in turn yields
as \( m\rightarrow \infty .\) Following the same line, we show
as \(m\rightarrow \infty .\) Thus we have
as \( m\rightarrow \infty .\)
We now consider \(\int _0^T\int _{\Omega }|\rho \phi '_m(\rho )a_mf|\,dx\,dt\). Notice that \(|\rho \phi '_m(\rho )|\le C\), and \(\rho \phi _m'(\rho )\) converges to 0 almost everywhere, so \(\left| \rho \phi '_m(\rho )a_mf\right| \le C|f|\), and by means of Lebesgue’s Dominated Convergence Theorem, we have
as \( m\rightarrow \infty .\) \(\square \)
Calculating
where
and
So applying Lemma 3.1 to (3.1), one obtains
as \(m\rightarrow \infty ,\) where \(\mathbb {S}=\phi _K(\rho )\rho (\mathbb {D}\mathbf{u}+\kappa \frac{\Delta \sqrt{\rho }}{\sqrt{\rho }}\mathbb {I}).\)
Letting \(\mathbf {F}_m=\mathbf {F}_{m1}+\mathbf {F}_{m2},\) where
where
and
where
Using Lemma 3.1, we obtain
where
Thus, letting \(m\rightarrow \infty \) in (2.31), and using the above convergence in this section, we find
which in turn gives us the following lemma:
Lemma 3.2
For any weak solution to (2.1) verifying in Proposition 1.1, we have
where \(\mathbb {S}=\phi _K(\rho )\rho (\mathbb {D}\mathbf{u}+\kappa \frac{\Delta \sqrt{\rho }}{\sqrt{\rho }}\mathbb {I}),\) and
where \(\mathbb {I}\) is an identical matrix.
4 Recover the limits as \(\kappa \rightarrow 0\) and \(K\rightarrow \infty \).
The objective of this section is to recover the limits in (3.2) as \(\kappa \rightarrow 0\) and \(K\rightarrow \infty .\) In this section, we assume that \(K=\kappa ^{-\frac{3}{4}},\) thus \(K\rightarrow \infty \) when \(\kappa \rightarrow 0.\) First, we address the following lemma.
Lemma 4.1
Let \(\kappa \rightarrow 0\) and \(K\rightarrow \infty \), and denote \(\mathbf{v}_{\kappa }=\phi _K(\rho _{\kappa })\mathbf{u}_{\kappa }\), we have
For any \(g\in C^1({\mathbb R}^+)\) with g bounded, and \(0<\alpha < \infty \) in 2D, \(0<\alpha <\frac{5\gamma }{3}\) in 3D, we have
In particular, we have, for any fixed n,
and
for \(1<\gamma <3.\)
Proof
In 2D, we deduce from (1.13)
Thus, \(\rho ^{\gamma }_{\kappa }\) is bounded in \(L^r((0,T)\times \Omega )\) for \(1\le r<\infty .\)
In 3D, we deduce that
Applying Holder inequality, we have
Thus, \(\rho ^{\gamma }_{\kappa }\) is bounded in \(L^{\frac{5}{3}}((0,T)\times \Omega )\).
We have that \((\rho _{\kappa })_t\) is uniformly bounded in
thanks to Lemma 2.1. Since \(\nabla \sqrt{\rho _\kappa }\) is uniformly bounded in \(L^\infty (L^2)\), we have also \( \sqrt{\rho _\kappa }\) uniformly bounded in \(L^\infty (L^6)\). Those two estimates give
Applying Aubin–Lions Lemma, one obtains
When \(\kappa \rightarrow 0,\) we have \(\sqrt{\rho _{\kappa }}\mathbf{u}_{\kappa }\rightarrow \sqrt{\rho }\mathbf{u}\quad \text {strongly in } L^2(0,T;L^2(\Omega ))\) from Proposition 1.1, ( also see [38]). Thus, up to a subsequence, for almost every (t, x) such that \(\rho (t,x)\ne 0\), we have
and
as \(\kappa \rightarrow 0.\) For almost every (t, x) such that \(\rho (t,x)=0,\)
as \(\kappa \rightarrow 0.\)
Hence, \(\rho ^{\alpha }_{\kappa }g(|\mathbf{v}_{\kappa }|^2)\) converges to \(\rho ^{\alpha }g(|\mathbf{u}|^2)\) almost everywhere. Since g is bounded and (4.1), \(\rho ^{\alpha }_{\kappa } g(|\mathbf{v}_{\kappa }|^2)\) is uniformly bounded in \(L^r((0,T)\times \Omega )\) for some \(r>1.\) Hence,
By the uniqueness of the limit, the convergence holds for the whole sequence.
Applying this result with \(\alpha =1\) and \(g(|\mathbf{v}_{\kappa }|^2)=\varphi _n(\mathbf{v}_{\kappa })\), we deduce (4.2).
Since \(\gamma >1\) in 2D, we can take \(\alpha =2\gamma -1<2\gamma \); and take \(\gamma <3\) in 3D, we have \(2\gamma -1<\frac{5\gamma }{3}\). Thus we use the above result with \(\alpha =2\gamma -1\) and \(g(|\mathbf{v}_{\kappa }|^2)=1+\tilde{\varphi }'_n(|\mathbf{v}_{\kappa }|^2)\) to obtain (4.3). \(\square \)
With the lemma in hand, we are ready to recover the limits in (3.2) as \(\kappa \rightarrow 0\) and \(K\rightarrow \infty .\) We have the following lemma.
Lemma 4.2
Let \(K=\kappa ^{-\frac{3}{4}}\), and \(\kappa \rightarrow 0,\) for any \(\psi \ge 0\) and \(\psi '\le 0\), we have
Proof
Here, we use \((\rho _{\kappa },\mathbf{u}_{\kappa })\) to denote the weak solutions to (2.1) verifying Proposition 1.1 with \(\kappa >0\).
By Lemma 4.1, we can handle the first term in (3.2), that is,
and
as \(\kappa \rightarrow 0\) and \(K=\kappa ^{-\frac{3}{4}}\rightarrow \infty .\)
We can control \(P_2\) as follows
as \(\kappa \rightarrow 0,\) where we used \(\frac{4}{3}(\gamma +\frac{1}{4})\le \frac{5\gamma }{3}\) for any \(\gamma >1.\)
Calculating \(P_1\),
We bound \(P_{12}\) as follows
as \(\kappa \rightarrow 0,\) where we used \(|\phi _K'(\rho _{\kappa })\sqrt{\rho _{\kappa }}|\le \frac{2}{\sqrt{K}}, \Vert \varphi ^{''}_n(\mathbf{v}_k)\mathbf{v}_k\Vert _{L^{\infty }(0,T;L^{\infty }(\Omega ))}\le C(n)\) since \(\varphi ^{''}_n\) is compactly supported, and \(\frac{4}{3}(\gamma +\frac{1}{4})\le \frac{5\gamma }{3}\) for any \(\gamma >1\).
Thanks to part a of Lemma 2.2, we have
Using Part b of Lemma 2.2, we find that
where we denote \(|\nabla \mathbf{u}_k|^2=\sum _{ij} |\partial _i{\mathbf{u}}_j|^2\). Hence
and the term
Thus,
The first right hand side term will be controlled by
due to (1.16); and the second right hand side term will be absorbed by the dispersion term \(A_1\) in (4.23). By Lemma 4.1, we have
as \(\kappa \rightarrow 0.\)
Note that
so this term can be dropped directly.
We treat the other terms in \(\mathbf {F}\) one by one,
as \(\kappa \rightarrow 0\), where we used Sobolev inequality, and \(|\phi '_K(\rho _{\kappa })\sqrt{\rho _{\kappa }}|\le \frac{2}{\sqrt{K}};\)
as \(\kappa \rightarrow 0;\)
as \(\kappa \rightarrow 0,\) where we used \(|\rho _{\kappa }\phi '_K(\rho _{\kappa })|\le 1.\) Finally
as \(\kappa \rightarrow 0.\)
For the term \(\mathbb {S}_{\kappa }=\phi _K(\rho _{\kappa })\rho _{\kappa }(\mathbb {D}\mathbf{u}_{\kappa }+\kappa \frac{\Delta \sqrt{\rho _{\kappa }}}{\sqrt{\rho _{\kappa }}}\mathbb {I})=\mathbb {S}_1+\mathbb {S}_2,\) we calculate as follows
For \(A_1\), by part a. of Lemma 2.2, we have
Notice that
thus
where we control \(A_{12}\)
thanks to (1.16). For \(A_2\), thanks to (2.8), we can control it as follows
as \(\kappa \rightarrow 0\). Note that the first right hand side term of (4.23) has a positive sign and control the limit using from the pressure (4.14). We need to treat the term related to \(\mathbb {S}_2\),
we control \(B_1\) as follows
as \(\kappa \rightarrow 0,\) where we used \(\Vert \phi _K^2\Vert _{L^{\infty }(0,T;L^{\infty }(\Omega ))}\le C\).
For \(B_2\), we have
as \(\kappa \rightarrow 0.\)
With (4.6)–(4.27), in particularly, letting \(\kappa \rightarrow 0\) in (3.2), dropping the positive terms on the left side, we have the following inequality
which in turn gives us Lemma 4.2. \(\square \)
5 Limit when \(n\rightarrow \infty \)
This section is dedicated to the proof of Theorem 1.1. For this, we obtain the Mellet–Vasseur type inequality for the weak solution of the compressible Navier–Stokes equation with drag forces. This is obtained by letting \(n\rightarrow \infty .\) Note that the weak solution \((\rho ,\mathbf{u})\) does not depend on n. We start from Lemma 4.2. Our task is to bound the right term of (4.5),
where we used part c of Lemma 2.2. By (4.5) and (5.1), we have
Thanks to part e. of Lemma 2.2 and Monotone Convergence Theorem, we have
as \(n\rightarrow \infty .\)
Letting \(n\rightarrow \infty \), we have
Taking
then (5.3) gives for every \(\tilde{t}\ge \frac{\epsilon }{2},\)
This gives Theorem 1.1 thanks to the Lebesgue point Theorem.
6 Weak solution without drag forces
The objective of this section is to apply Theorem 1.1 to prove Theorem 1.2. This provides the existence of global weak solutions to (1.1)–(1.2) by letting \(r_0\rightarrow 0\) and \(r_1\rightarrow 0.\) Let \(r=r_0=r_1\), we use \((\rho _r,\mathbf{u}_r)\) to denote the weak solutions to (2.1) verifying Proposition 1.1 with \(\kappa =0\).
By (1.7) and (1.8), one obtains the following estimates,
Theorem 1.1 gives us
Note that (6.1) and (6.2) are uniformly on r. Meanwhile, we have the following estimates from (1.7),
We construct solutions to the Navier–Stokes equations without drag forces by passing to the limits as \(r\rightarrow 0\). Following the same line as in [32], we can show the convergence of the density and the pressure, prove the strong convergence of \(\sqrt{\rho _r}\mathbf{u}_r\) in space \(L^2_{loc}((0,T)\times \Omega )\), and the convergence of the diffusion terms. We remark that Theorem 1.1 is the key tool to show the strong convergence of \(\sqrt{\rho _r}\mathbf{u}_r.\) Here, we list all related convergence from [32]. In particular,
the convergence of pressure
the convergence of the momentum and \(\sqrt{\rho _r}\mathbf{u}_r\)
and the convergence of the diffusion terms
It remains to prove that terms \(r\mathbf{u}_r\) and \(r\rho _r|\mathbf{u}_r|^2\mathbf{u}_r\) tend to zero as \(r\rightarrow 0.\) Let \(\psi \) be any test function, then we estimate the term \(r\mathbf{u}_r\)
as \(r\rightarrow 0\), due to (6.3).
We also estimate \(r\rho _r|\mathbf{u}_r|^2\mathbf{u}_r\) as follows
as \(r\rightarrow 0.\)
The global weak solutions to (2.1) verifying Proposition 1.1 with \(\kappa =0\) is in the following sense, that is, \((\rho _r,\mathbf{u}_r)\) satisfy the following weak formulation
where \(\psi \) is any test function.
Letting \(r\rightarrow 0\) in the weak formulation (6.10), and applying (6.4)–(6.9), one obtains that
Thus we proved Theorem 1.2 for any initial value \((\rho _0,\mathbf{u}_0)\) verifying (1.5) with the additional condition \(\rho _0\ge \frac{1}{m_0}\) and \(\sqrt{\rho _0}\mathbf{u}_0\in L^{\infty }(\Omega ).\) This last condition can be dropped using [32].
Notes
Note that \(\kappa \) here is not related to the \(\kappa \) term in (1.6).
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Acknowledgments
A. Vasseur’s research was supported in part by NSF Grant DMS-1209420. C. Yu’s research was supported in part by an AMS-Simons Travel Grant.
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Appendix1: Proof of the Lemma 2.2
Appendix1: Proof of the Lemma 2.2
Proof
We prove each statement one by one as follows:
-
(a) Thanks to (2.4), we have \(\varphi '_n(\mathbf{u})=2\tilde{\varphi }'_n(|\mathbf{u}|^2)\mathbf{u}\), and
$$\begin{aligned} \varphi _n''(\mathbf{u})=2\left( 2\tilde{\varphi }_n''(|\mathbf{u}|^2)\mathbf{u}\otimes \mathbf{u}+\mathbf {I} \tilde{\varphi }_n'(|\mathbf{u}|^2)\right) , \end{aligned}$$where \(\mathbf {I}\) is \(3\times 3\) identity matrix.
-
(b) The statement of (b) follows directly from (2.5).
-
(c) Integrating (2.5) with initial data \(\tilde{\varphi }'_n(0)=0,\) one obtains
$$\begin{aligned} \tilde{\varphi }'_n(y)=\left\{ \begin{array}{ll} 1+\ln (1+y) &{}\quad \text { if }\,0\le y< n, \\ 1+2\ln (1+n)-\ln (1+y), &{}\quad \text { if }\, n\le y\le C_n \\ 0&{}\quad \text { if } y \ge C_n, \end{array}\right. \end{aligned}$$(7.1)Since
$$\begin{aligned} 1+2\ln (1+n)-\ln (1+C_n)= 0, \end{aligned}$$for any \(y\ge 0\), (7.1) implies
$$\begin{aligned} \tilde{\varphi }'_n(y)\ge 0. \end{aligned}$$For any \(n\le y\le C_n,\) we have
$$\begin{aligned} 1+2\ln (1+n)-\ln (1+y)\le & {} 1+2\ln (1+y)-\ln (1+y)\\= & {} 1+\ln (1+y). \end{aligned}$$In one word, for any \(y\ge 0\), we have
$$\begin{aligned} 0\le \tilde{\varphi }'_n(y)\le 1+\ln (1+y). \end{aligned}$$ -
(d) By (a)–(c), it follows
$$\begin{aligned} |\varphi ^{''}_n(\mathbf{u})|\le & {} 4|\tilde{\varphi }''_n||\mathbf{u}|^2+2|\tilde{\varphi }'_n|\le 4\frac{|\mathbf{u}|^2}{1+|\mathbf{u}|^2}+2(1+\ln (1+n))\\\le & {} 6+2\ln (1+n). \end{aligned}$$ -
(e) Integrating (7.1) with initial data \(\tilde{\varphi }_n(0)=0\), it gives (2.9). Moreover, thanks to (c), \(\tilde{\varphi }_n(y)\) is an increasing function with respect to y for any fixed n. We have that \(\tilde{\varphi }_n(y)\) is a nondecreasing function with respect to n for any fixed y.
\(\square \)
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Vasseur, A.F., Yu, C. Existence of global weak solutions for 3D degenerate compressible Navier–Stokes equations. Invent. math. 206, 935–974 (2016). https://doi.org/10.1007/s00222-016-0666-4
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DOI: https://doi.org/10.1007/s00222-016-0666-4