Compressible Navier-Stokes equations with ripped density
Rapha\"el Danchin (UPEC UP12), Piotr Boguslaw Mucha (MIMUW)

TL;DR
This paper proves the global regularity and uniqueness of solutions for the 2D compressible Navier-Stokes equations with large bulk viscosity, and justifies the convergence to incompressible equations as viscosity increases.
Contribution
It establishes the propagation of Sobolev regularity, solution uniqueness, and the rigorous limit from compressible to incompressible Navier-Stokes equations under large bulk viscosity.
Findings
Global Sobolev regularity propagation for velocity.
Uniqueness of solutions for perfect gas.
Convergence to inhomogeneous incompressible Navier-Stokes as viscosity tends to infinity.
Abstract
Here we prove the all-time propagation of the Sobolev regularity for the velocity field solution of the two-dimensional compressible Navier-Stokes equations, provided the volume (bulk) viscosity coefficient is large enough. The initial velocity can be arbitrarily large and the initial density is just required to be bounded. In particular, one can consider a characteristic function of a set as an initial density. Uniqueness of the solutions to the equations is shown, in the case of a perfect gas. As a by-product of our results, we give a rigorous justification of the convergence to the inhomogeneous incompressible Navier-Stokes equations when the volume viscosity tends to infinity. Similar results are proved in the three-dimensional case, under some scaling invariant smallness condition on the velocity field.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Compressible Navier-Stokes equations with ripped density
Raphaël Danchin
Université Paris-Est, LAMA (UMR 8050), UPEMLV, UPEC, CNRS, 61 avenue du Général de Gaulle, 94010 Créteil Cedex, France.
and
Piotr Bogusław Mucha
Instytut Matematyki Stosowanej i Mechaniki, Uniwersytet Warszawski, ul. Banacha 2, 02-097 Warszawa, Poland.
Abstract.
We are concerned with the Cauchy problem for the two-dimensional compressible Navier-Stokes equations supplemented with general initial velocity and bounded initial density not necessarily strictly positive: it may be the characteristic function of any set, for instance.
In the perfect gas case, we establish global-in-time existence and uniqueness, provided the volume (bulk) viscosity coefficient is large enough. For more general pressure laws (like e.g. with ), we still get global existence, but uniqueness remains an open question.
As a by-product of our results, we give a rigorous justification of the convergence to the inhomogeneous incompressible Navier-Stokes equations when the bulk viscosity tends to infinity.
In the three-dimensional case, similar results are proved for short time without restriction on the viscosity, and for large time if the initial velocity field is small enough.
Introduction
Systems of PDEs coming from classical physics are sources of never-ending challenges for mathematicians. This is the case of Euler and Navier-Stokes systems that are at the basis of fluid mechanics. In that field, a number of new and sometimes unexpected results flourished in the last decade. One can for instance mention the works by C. De Lellis and L. Székelyhidi [16, 17] where a technique based on convex integration is used to construct infinitely many finite energy solutions to the classical incompressible Euler equations. Since their energy may be any nonnegative smooth function of the time variable, those solutions are not physically relevant. For that reason, they are often named wild (or even spam) solutions. Convex integration turned out to be robust enough so as to be adapted to other PDEs for inviscid flows (e.g. the compressible Euler system [4]) and even to models with diffusion like the classical Navier-Stokes system [3].
In accordance with Laplace determinism principle (or, in mathematics, with Hadamard’s definition of well-posedness), it is natural to look for conditions on the initial data ensuring uniqueness, global existence and stability by perturbations. However, even for rather simple physical systems, the full answer is not often known. In this regards, one may mention the celebrated Millenium Problem dedicated to the global regularity of solutions to the incompressible Navier-Stokes equations in the three dimensional case111See http://www.claymath.org/millennium-problems.. So far, there is no consensus in the community on whether the solutions are unique or not, regular or not, for all time. Positive answer is known for the two space dimensional case, after the work by O.A. Ladyzhenskaya [26] in 1958, that states that weak solutions to the Navier-Stokes equation are unique, stable, and smooth if the data are smooth. Up to some small variations (like e.g. viscous flows with variable density or coupling with a transport equation through a buoyancy term), that case is essentially the only one in classical mathematical fluid mechanics where a complete well-posedness theory is available.
In the present paper, we would like to address the global well-posedness issue for the compressible Navier-Stokes system in the barotropic regime, supplemented with general arbitrary large initial data with merely bounded (and nonnegative) density : we have in mind a “ripped” initial density, that is a function that may have nontrivial regions of vacuum, without any extra regularity assumption.
The main achievements here are as follows:
- •
in the two-dimensional case, for any nonnegative initial density, just bounded, and any initial velocity in if the bulk viscosity is large enough and then there exists at least one global solution with uniformly bounded density;
- •
in the case of a perfect gas, namely if the pressure is positively proportional to the density, then the above solutions are unique (here the bulk viscosity need not be large and need not be small);
- •
we justify rigorously the (singular) limit of the compressible Navier-Stokes system to the inhomogeneous incompressible one as tends to infinity (regardless of the fact that the density may vanish and have large variations);
- •
the above results remain true in the three-dimensional case, provided a suitable smallness condition is prescribed on the whole initial velocity
As our goal is to consider as general densities as possible, we do not strive for optimal regularity hypotheses on the initial velocity, and take it in for simplicity. Although the density of the solution is only a bounded function, the corresponding velocity has relatively high regularity. However, we do not reach the regularity so that the classical methods for showing uniqueness fail. Nevertheless, we establish uniqueness in the regime of a perfect gas, and obtain some qualitative results on the regions of vacuum: their growth or decrease is controlled in terms of the data and of the time, they are stable and vacuum cannot appear if the initial density is positive (or cannot disappear if the initial density vanishes on some set with positive measure). In the case where the initial density is the characteristic function of a set, our results provide us with some information on the regularity of the boundary of the support of the density for positive times, even though the flow is not quite Lipschitz.
In addition, our solutions are physical: total mass and momentum are conserved, and the energy balance is fulfilled for all time. As a consequence, in the case of zero energy initial data (which does not mean that the initial velocity is zero since it may be anything in the regions of vacuum), the only possible solution has null velocity instantaneously.
1. The results
We are concerned with the following barotropic compressible Navier-Stokes equations in the unit torus with :
[TABLE]
The pressure is a given function of the density. The real numbers and designate the bulk and shear viscosity coefficients, respectively, and are assumed to satisfy
[TABLE]
The system is supplemented with the initial data
[TABLE]
It is obvious that the total mass and momentum of smooth enough solutions of (1.1) are conserved through the evolution, namely, for all
[TABLE]
For expository purposes, we shall always assume that222This is not restrictive, as one can rescale the density function and use the Galilean invariance of the system to have those two conditions satisfied.
[TABLE]
Next, if we denote by the potential energy of the fluid defined, up to an affine function, by the relation and introduce the total energy
[TABLE]
then (still for smooth enough solutions) the following energy balance holds true:
[TABLE]
where denotes the -projector onto the set of solenoidal vector-fields and the norm in
Since the pioneering works by P.-L. Lions in [27] and E. Feireisl in [19] (see also the paper by D. Bresch and P.-E. Jabin [2] that uses recent achievements of the transport theory), it is well understood that in the case of an isentropic pressure law with any finite energy initial data generates a global-in-time weak solution to (1.1) satisfying
[TABLE]
However, even in the two-dimensional case, it is not clear that those solutions respect the energy balance (1.6) (just inequality is known), and the regularity and uniqueness issues are widely open. From the viewpoint of the well-posedness theory, those weak solutions are relevant inasmuch as they satisfy the so-called weak-strong uniqueness principle : for smooth data, they coincide with the corresponding smooth solution as long as it exists (see [20, 21]).
Regarding the well-posedness issue, there is a number of results in the case of smooth density bounded away from zero (some of them like [32] being obtained much before the construction of weak solutions). The general rule is that the solutions are known to exist for small time if the data are large (see e.g. [8, 24, 30, 32]) and for all time if the data are small perturbations of a linearly stable constant state (see [7, 28, 29]). It has been observed by Y. Cho, H.J. Choe and H. Kim [5] that positivity of density may be somewhat relaxed if a suitable compatibility condition involving the initial velocity and high regularity of the density are guaranteed. Let us finally mention that for viscosity coefficients that depend on the density in a very specific way, one can achieve global existence of strong solutions in dimension two, even for large data, if (see [33]).
At the end let us mention the work by D. Hoff in [22] devoted to the construction of “intermediate” solutions in between the aforementioned weak solutions and the more regular ones, that may have discontinuous density along some curve () or surface ().
We here want to provide the reader with a complete global-in-time existence theory in the case where the initial velocity is in and the initial density is just bounded. In the two dimensional case, we shall achieve our goal provided that for some given and that is large enough (the assumption on comes up naturally when defining a suitable energy functional that controls the regularity). A remarkable feature of our result is that, even though the density is rough and need not be positive, one can exhibit some parabolic gain of regularity for the velocity, which entails that both and are almost in Although this does not quite imply that the full gradient of is in we will get uniqueness in the case where
Let us first state our global existence result in the two-dimensional case.
Theorem 1.1**.**
Assume that the pressure law is for some and Fix some and consider any vector field in satisfying and nonnegative bounded function fulfilling (1.5).
There exists a positive number depending only on and such that if then System (1.1) admits a global-in-time solution fulfilling the conservations laws (1.4), the energy balance (1.6),
[TABLE]
In addition, we have, denoting and
[TABLE]
and both and are in for all .
Remark 1.1**.**
For simplicity, we focussed on the physically relevant case where the pressure function is given by for some and However, the above theorem remains true whenever:
[TABLE]
In the case of a linear pressure law, our existence result is supplemented with uniqueness.
Theorem 1.2**.**
Assume for some Then, for any any nonnegative in and in and any viscosity coefficients there exists at most one solution to System (1.1) supplemented with data on with the regularity given in Theorem 1.1 (restricted to interval ).
Since the norms of the solution constructed in Theorem 1.1 may be bounded uniformly with respect to one gets almost for free the all-time convergence when tends to to the following inhomogeneous incompressible Navier-Stokes equations:
[TABLE]
Let us give the statement in the case of a fixed initial data (for simplicity):
Theorem 1.3**.**
Fix some data in satisfying and and denote by the corresponding global solution of (1.1) of Theorem 1.1 for
Then, for going to the whole family converges to the unique global solution of System (1.10) with initial data given by Theorem 2.1 of [12], and we have
[TABLE]
and even in for all and
Remark 1.2**.**
To the best of our knowledge, Theorem 1.3 is the first example of a global-in-time result of convergence from (1.1) to (1.10) in the truly inhomogeneous framework (see our recent work in [13] for an example of almost global convergence).
Remark 1.3**.**
The above results of existence, uniqueness and convergence are valid in either locally in time for large data, or globally under a suitable scaling invariant smallness condition on the velocity (no smallness is required for the density). The reader is referred to Appendix C for more details.
Let us report on the main ideas leading to our results in dimension two. Assuming that we are given a solution to (1.1), the first step is to establish global-in-time a priori estimates for the norm of in terms of the data, of the parameters of the system and of a (given) upper bound of the density. The overall strategy has some similarities with our recent work [12] dedicated to System (1.10). However, the compressible situation is more complex (as the reader will judge by himself in the next section) since one cannot expect to be in any Lebesgue space. For that reason, we shall consider the viscous effective flux defined by
[TABLE]
since it has better regularity than or taken separately, as observed before by D. Hoff [22] and P.-L. Lions [27] when constructing intermediate or weak solutions. Rewriting the momentum equation in terms of and (the divergence-free part of ) will spare us making integrability assumptions on in contrast with our recent work in [13].
The second key ingredient of that step is the following logarithmic interpolation inequality
[TABLE]
that has been discovered by B. Desjardins [14] and is an appropriate substitute of the well-known Ladyzhenskaya inequality
[TABLE]
since bounds are available on (through (1.6)), but not on
Then, the main idea is to introduce a suitable modified energy functional that contains informations on the norm of and may be bounded uniformly on Our definition enables us, after tracking carefully the dependency of the estimates with respect to the viscosity coefficients, to exhibit global-in-time bounds depending only on the data and on if is large enough (results in [14] were local).
The goal of the second step is to bound in terms of the data. As in [14], we shall rather consider the following quantity
[TABLE]
that may be seen as an approximate damped mode associated to (1.1). The new achievement here is that, by combining with the first step and a bootstrap argument, one gets a global-in-time control on in terms of the data only, provided that is large enough.
Step 3 aims at proving that and are in for some To achieve it, the general idea is to use time weighted estimates to glean some regularity on then to transfer time regularity to space regularity thanks to elliptic estimates and functional embeddings. However, in contrast with the incompressible case studied in [12], it is no longer possible to discard the pressure term by means of the divergence free property, and it is actually more appropriate to work with the convective derivative . In the end, we shall get bounds on in and in from which we will eventually bound and in
Steps 1 to 3 were formal a priori estimates for smooth solutions. To complete the proof of existence, we mollify the initial density so as to make it strictly positive and regular. Then, one can resort to classical results to construct a local-in-time smooth solution corresponding to those data. The difficulty is to establish that, indeed, the control of norms that has been obtained so far allows to extend the solution for all time. Once it has been done, the uniform bounds given by steps 1 to 3 allow to pass to the limit and to complete the proof of the global existence. In fact, since compared to weak solutions theory, more regularity is available on the velocity, passing to the limit is much more direct than in [19] or [27]. Furthermore, as the bounds from steps 1 to 3 have some uniformity with respect to similar arguments allow to justify the convergence of (1.1) to (1.10), whence Theorem 1.3.
Since steps 1 to 3 just give that and are in for some we miss by a little the property that is in and need not have a Lipschitz flow. Therefore, in contrast with what has been done for (1.10) in [12] or for (1.1) in [10], it is not clear whether recasting the compressible Navier-Stokes equations in Lagrangian coordinates may help to prove uniqueness. However, we know from the previous steps that and are in whence is in In the particular case of a linear pressure law, this turns out to be enough to control the difference of two solutions in for the density and for the velocity. The proof has some similarities with that of D. Hoff in [23] but does not require Lagrangian coordinates. In fact, we overcome that by combining the information that with a suitable logarithmic interpolation inequality from [31].
Let us finally point out an interesting application of Theorem 1.1 pertaining to the case where the initial density has nontrivial vacuum regions.
Corollary 1.1**.**
Let the assumptions of Theorem 1.1 be in force, and denote by a global solution given by Theorem 1.1. Let be the (generalized) flow of defined by
[TABLE]
Then, the following results hold:
- (1)
Let Then with Furthermore, if is an open set with Lipschitz boundary, then is an open set with regularity. 2. (2)
If and then for all Furthermore, if is a Lipschitz open set, then has regularity.
Above, is a continuously decreasing function of and is such that
Proof.
By using the continuity of Riesz operator, we get
[TABLE]
where stands for the space of bounded log-Lipschitz functions. Hence Theorem 1.1 ensures that and, applying [1, Th. 3.7] guarantees the existence and uniqueness of a generalized flow fulfilling (1.14). Let us assume that coincides with for some Lipschitz function Then, where solves the transport equation
[TABLE]
Now, [1, Th. 3.12] guarantees that has regularity with
[TABLE]
and one can conclude the proof of the first item.
The second item follows from similar arguments and from the fact that
[TABLE]
for all and ∎
We end this part proposing some conjecture, that probably requires further developments of the transport theory, the basic problem here being that the velocity field is not Lipschitz, thus preventing us to reformulate the equations in the Lagrangian coordinates without any loss of regularity:
Conjecture.* The solutions constructed in Theorem 1.1 (or in Theorem C.1 for the three-dimensional case) are unique for arbitrary strictly increasing convex pressure functions.*
The rest of the paper unfolds as follows. The next section is dedicated to the proof of regularity estimates for (1.1) assuming that the solution under consideration is smooth with density bounded away from zero, and that is large enough (this corresponds to steps to above). In Section 3, we prove the existence part of our main theorem and also justify the convergence of (1.1) to (1.10) for going to , while Section 4 is dedicated to uniqueness. Some technical results like, in particular, Inequality (1.13) and time weighted estimates, and the case are presented in the appendix.
2. Regularity estimates
The present section is devoted to proving regularity estimates for the velocity field of a solution to (1.1) in We focus on the three dimensional case being postponed in appendix. We show three results: a control of the norm of the velocity, a pointwise global-in-time bound for the density and, finally, a new estimate for the effective viscous flux and the divergence-free part of the velocity. This latter estimate is based on the shift of integrability method introduced in [12].
As a start, we normalize the potential energy in such a way that setting
[TABLE]
Hence, is essentially equivalent to and, in the case we have
[TABLE]
We shall often use the notations and instead of and
2.1. Sobolev estimates for the velocity
Here we derive a global-in-time energy estimate that requires only a control on .
Throughout the proof, we denote and where and stand for the average of and Note that we have
[TABLE]
Proposition 2.1**.**
Consider a smooth solution to (1.1) on satisfying (1.5). Assume that the pressure law fulfills (1.9) and that, for some positive constant
[TABLE]
Let be the material derivative of and There exist:
- –
a functional such that
[TABLE]
- –
an absolute positive constant ,
- –
a positive constant depending333Here we find \nu_{0}=\max\Bigl{(}\mu,\,C\sqrt{\frac{\rho^{*}\log(\mathrm{e}+\rho^{*})}{\mu}}\,P(\rho^{*}),\,\frac{P(\rho^{*})}{2},\,4\sqrt{\rho^{*}(1+h(\rho^{*}))}\Bigr{)}\cdotp* only on the pressure function on and on *
such that if then for all we have
[TABLE]
with defined in (1.6) and
[TABLE]
Proof.
As in the work of B. Desjardins in [14], the proof consists in introducing a suitable ‘energy’ functional that contains information on the velocity, then to combine with the logarithmic interpolation inequality (1.13). The novelty here is that we succeed in getting a time-independent control on the solution in terms of the data and of
Step 1
The goal of this step (which is independent of the dimension ) is to bound:
[TABLE]
To achieve it, we take the scalar product of the momentum equation of (1.1) with and get
[TABLE]
To handle the pressure term in the left-hand side, we start from
[TABLE]
Therefore, integrating by parts yields
[TABLE]
Since
[TABLE]
we get after integrating by parts once to avoid the appearance of some term,
[TABLE]
Observing that, owing to the definition of and to (2.8), we have
[TABLE]
we find that
[TABLE]
Let the function be the unique solution of
[TABLE]
Then, we have
[TABLE]
Hence, plugging (2.9) and (2.10) in (2.11), we obtain
[TABLE]
Now, denoting
[TABLE]
and reverting to (2.7), we conclude that
[TABLE]
We claim that Indeed, we have
[TABLE]
and
[TABLE]
In order to get a control on the right-hand side of (2.13), let us rewrite the momentum equation in terms of the viscous effective flux as follows:
[TABLE]
From it, we discover that
[TABLE]
Since we obviously have
[TABLE]
equality (2.13) and the fact that imply that
[TABLE]
To bound the last term in the right-hand side, we decompose into
[TABLE]
Hence
[TABLE]
Step 2: Bounding the right-hand side of (2.18) in dimension
Hölder and Gagliardo-Nirenberg inequalities yield
[TABLE]
Since the density is not bounded from below, in order to bound the right-hand side, one has to take advantage of Inequality (1.13). We get
[TABLE]
Arguing similarly and using the fact that maps to itself, we get
[TABLE]
and also,
[TABLE]
Finally, we have, thanks to Inequality (A.3),
[TABLE]
Hence
[TABLE]
Therefore, plugging (2.19), (2.20), (2.21) and (2.22) in (2.18), we conclude that
[TABLE]
Step 3: Upgrading the energy functional
In order to handle all the terms of the right-hand side of (2.23), one has to add up to a suitable multiple of the basic energy and of the potential energy so as to glean some time-decay for Indeed, we have
[TABLE]
Hence, integrating on and remembering that yields
[TABLE]
Now, denoting we observe that for all we have
[TABLE]
Hence, owing to (1.5),
[TABLE]
and thus
[TABLE]
Consequently, if we set
[TABLE]
then we have thanks to (2.26),
[TABLE]
Step 4. A global-in-time estimate
In order to control the integral in the right-hand side of (2.24), one may use that
[TABLE]
Then, Poincaré inequality implies that
[TABLE]
Using also the fact that we get from (2.23) that
[TABLE]
Now, since
[TABLE]
we have if
[TABLE]
Therefore, because for all
[TABLE]
if one assumes that
[TABLE]
then the above inequalities imply that
[TABLE]
with
[TABLE]
So, finally, if one assumes that
[TABLE]
the last condition ensuring that the coefficient of the last term in (2.27) is greater than then (2.4) holds true, and thus
[TABLE]
Thanks to that, Inequality (2.30) combined with the energy balance (1.6) and the fact that the map is nondecreasing on if and imply that
[TABLE]
Note that Condition (2.31) entails that
[TABLE]
Therefore applying Lemma A.1 with
[TABLE]
we get
[TABLE]
which, in light of the basic energy balance (1.6), yields (2.5). ∎
Remark 2.1**.**
One has some freedom in the definition of and lots of possibilities for bounding the right-hand side of (2.23). As a consequence, for small one can get a global, but time dependent control on We chose not to treat that case here since the condition that is large will be needed in the next step, so as to remove the a priori assumption that is bounded.
Remark 2.2**.**
Relation (2.2) and Inequality (2.4) imply that
[TABLE]
2.2. An upper bound for the density
Here, we prove that, for large enough if the initial data fulfill the assumptions of the previous section, then we have a global-in-time control on the supremum of As in the previous subsection, we assume that we are given a smooth solution with strictly positive density, keeping in mind that the result below will be only applied to the family constructed in Section 3. For simplicity, we assume that for some
Proposition 2.2**.**
Consider a smooth solution of (1.1) on for some pertaining to smooth initial data such that and
There exists depending on and but independent of such that if then
[TABLE]
Proof.
Throughout the proof, we denote slightly abusively the right-hand side of (2.33) by We start from the observation that as is smooth and positive (by assumption), we may write, owing to (2.2),
[TABLE]
Remember that the definition of ensures that
[TABLE]
Therefore, following [14] and introducing
[TABLE]
we discover that (with the summation convention over repeated indices),
[TABLE]
Since we have
[TABLE]
setting yields
[TABLE]
As we have so that the last term may be bounded by Since the field is assumed to be smooth, applying the maximal principle for the transport equation yields:
[TABLE]
Using that the average of is zero, Sobolev embedding and the properties of continuity of Riesz operator imply that
[TABLE]
Then, we use again (1.13) and get
[TABLE]
whence, thanks to the energy balance (1.6) and the definition of (assuming that ),
[TABLE]
Since with the second term in the r.h.s. of (2.36) may be bounded by means of Sobolev embedding and of the following Coifman, Lions, Meyer and Semmes inequality (from [6]) as follows:
[TABLE]
To handle we use that
[TABLE]
Hence, using once more (1.13),
[TABLE]
whence, using the energy conservation (1.6) and the definition of and
[TABLE]
Plugging (2.38) and (2.40) in (2.36) and performing obvious simplifications, we end up with
[TABLE]
Let us consider the largest sub-interval of on which (2.33) is fulfilled. Then, Inequality (2.5) tells us that there exist depending only on and and (depending also on , ) so that we have for all if
[TABLE]
Inequality (2.41) thus becomes for a possibly larger
[TABLE]
From Hölder inequality, we have for all
[TABLE]
As the integrals in the right-hand side may be bounded in terms of the data according to the basic energy balance (1.6) and to (2.42), we eventually get (changing once again if needed) if :
[TABLE]
Of course, owing to the definition of and to (2.5) and (2.38), we have
[TABLE]
Hence one can eventually conclude that
[TABLE]
Now, if is so large as to satisfy also
[TABLE]
then (2.44) implies (2.33) with a strict inequality. So ∎
2.3. Weighted estimates
That section is devoted to the proof of the following result, that is based on the estimates that have been established so far. For better readability, we postpone the most technical parts to the appendix.
Proposition 2.3**.**
Define as in Proposition 2.2. Let . Then, smooth solutions to (1.1) on fulfill, if :
[TABLE]
where depends on and on the pressure function, but is independent of and .
Proof.
Here it will be convenient to use the two notations and to designate the convective derivative of and we shall denote if and are two matrices. Finally, if is a vector field on then and for
The general principle is to rewrite the momentum equation as:
[TABLE]
then to take the material derivative and test it by We get
[TABLE]
The rest of the proof consists in describing each term of (2.47). To this end, we shall repeatedly use the fact that for all (where is given by Proposition 2.2), we have
[TABLE]
Indeed, recall the decomposition
[TABLE]
Proposition 2.1 and Sobolev embeddings imply that
[TABLE]
Furthermore, we have
[TABLE]
and
[TABLE]
Step 1
Obvious computations give (in any dimension):
[TABLE]
Integrating by parts, we see that
[TABLE]
Thanks to the mass conservation equation, we have
[TABLE]
whence
[TABLE]
If then one can bound the last term using that
[TABLE]
Since one can take advantage of the Poincaré inequality (A.2) with and get:
[TABLE]
Hence,
[TABLE]
and thus
[TABLE]
Step 2
To handle the second term of (2.47), we use that
[TABLE]
Hence, testing (2.58) by and integrating by parts yields for
[TABLE]
Since
[TABLE]
we get
[TABLE]
The first term is the main one. The other two terms are denoted by and respectively. Bounding is easy : using Hölder inequality yields
[TABLE]
Therefore, we have according to (2.48),
[TABLE]
Bounding is much more involved. We eventually get (see the details in appendix):
[TABLE]
Plugging (2.60) and (2.61) in (2.59) and using (2.56) yields
[TABLE]
Step 3
In order to bound the third term of equation (2.47), we use the relation
[TABLE]
We have to keep in mind that the right-hand side involves only the potential part of the velocity, since . This enables us to write that
[TABLE]
Hence, testing (2.63) with and integrating by parts, we find that
[TABLE]
Since using (2.48), (2.51) and (2.52), we find that, if
[TABLE]
Bounding will be performed in the appendix. In the end, we get
[TABLE]
Thanks to (2.56), the conclusion of this step is that if is large enough then
[TABLE]
Step 4
The last term under consideration in (2.46) is
[TABLE]
Here the analysis is simple: since , we have
[TABLE]
On the one hand, we obviously have
[TABLE]
On the other hand, integrating by parts a couple of times and using yields
[TABLE]
Hence we have, if
[TABLE]
whence, thanks to (2.52) and (2.56),
[TABLE]
So this step gives
[TABLE]
Step 5
Plugging inequalities (2.57), (2.62), (2.67) and (2.70) in (2.47) (after integrating on ) and using the fact that for a smooth solution, we have we discover that for large enough
[TABLE]
Taking advantage of inequality (2.5), we have
[TABLE]
Furthermore, Young inequality implies that
[TABLE]
In the end, we thus have if is large enough and
[TABLE]
Then, applying Gronwall inequality completes the proof of the proposition. ∎
The following consequence of those weighted estimate will be fundamental in the proof of uniqueness.
Corollary 2.1**.**
Let be a smooth solution of (1.1) on and assume that Then, we have for all
[TABLE]
for some depending on and on but not on
Proof.
Remember that
[TABLE]
Hence, we have
[TABLE]
Then, combining the fact that and map to itself for all with routine interpolation inequalities yields for all and
[TABLE]
which already gives, after time integration and use of Inequality (2.45), that
[TABLE]
Next, in order to bound one can argue again by interpolation writing that
[TABLE]
Since the previous computations ensure that
[TABLE]
and, because is in for all and, finally, is bounded according to Proposition 2.1, one can conclude that for all
[TABLE]
Bounding in follows from similar arguments. Finally, as and is bounded, one gets the desired inequality for ∎
3. The proof of existence in dimensions and
This section is mainly devoted to the construction of solutions fulfilling Theorem 1.1 (or the corresponding statement in dimension see the appendix). The main two difficulties we have to face is that the initial density has no regularity whatsoever and is not positive. To fit in the classical literature devoted to the compressible Navier-Stokes equations, one has to mollify the initial data and to make the density strictly positive. Although this procedure does not disturb the a priori estimates we proved hitherto, the state-of-the-art on the topics just ensures the existence of a smooth solution corresponding to the regularized data on some finite time interval. As a first, we thus have to justify that, indeed, the estimates we proved so far ensure that the approximate smooth solution is global, if is large enough. Then, resorting to rather classical compactness arguments will enable us to conclude the proof of Theorem 1.1.
At the end of the section, we justify the convergence from (1.1) to (1.10), namely we prove Theorem 1.3. The passing to the limit therein is very similar to Step 4 of the proof of existence.
Step 1.
The original initial data are:
[TABLE]
First, we want to change the initial density in such a way that it is bounded away from zero and still has total mass equal to one. To this end, we introduce for any
[TABLE]
where is fixed so that
[TABLE]
Clearly, we have when and thus
[TABLE]
Then, we smooth out both and as follows:
[TABLE]
where is a family of positive mollifiers.
Let us emphasize that the total mass of is still equal to one, and that
Step 2.
We solve (1.1) with data according to the classical literature. For example, one may use the following result (see [9, 30, 32]):
Theorem 3.1**.**
Let and for some with Assume that Then there exists depending only on the norms of the data, and on such that (1.1) supplemented with data and has a unique solution on the time interval satisfying444Recall that designates the set of functions such that and the corresponding trace space on (that may be identified to the Besov space ).
[TABLE]
Let be the maximal solution pertaining to data provided by the above statement, and let be the largest time so that fulfills (3.6) for all . Since is smooth and with no vacuum, it satisfies all the formal estimates we proved so far, with the same constants independent of In particular, is in for all which implies that is bounded from below and above, according to:
[TABLE]
Step 3.
Our goal here is to prove that the solution is actually global. To achieve it, we argue by contradiction, assuming that is finite.
The classical estimates for the continuity equations imply that for all (dropping exponents on for better readability):
[TABLE]
Observe that the previous sections ensure that we have and Combining with straightforward interpolation arguments and Hölder inequality, we deduce that
[TABLE]
Remembering that we thus get
[TABLE]
whence, using estimates for the Riesz operator and the fact that with bounded, one may conclude that, uniformly with respect to we have for all
[TABLE]
Hence we have for all
[TABLE]
In order to close the estimates, we have to bound . Since and is bounded in (recall Corollary 2.1), one may start from the following well known logarithmic inequality:
[TABLE]
which, in light of (3.12), implies that
[TABLE]
Hence, plugging that inequality in (3.8), we discover that for all
[TABLE]
Since
[TABLE]
and
[TABLE]
we get
[TABLE]
From this and Osgood lemma, one can conclude (as is finite) that and belong to and respectively.
Putting together with (3.12), this leads to
[TABLE]
Hence, by Sobolev embedding, one can conclude that there exists such that
[TABLE]
Now, one can go back to the momentum equation of (1.1), written in the form
[TABLE]
Thanks to (3.7) and (3.15), one may apply Theorem 2.2. of [9] and get
[TABLE]
For general if or if we do not know how to prove directly that is in and we shall need several steps.
More precisely, if then one may use the fact that for all
[TABLE]
which, combined with the fact that (from Proposition 2.1) and thus for all and (3.12) implies that Hence the right-hand side of (3.16) belongs to and Theorem 2.2. of [9] implies that
[TABLE]
Starting from that new information and arguing as above entails that the right-hand side of (3.16) belongs to and so on. After a finite number of steps, we eventually reach
For the 3D case we note that the information that implies that
[TABLE]
Hence, to bound in we need to have in with such that (remember that in the 3D case). By interpolation and the definition of in (3.10), we have
[TABLE]
Hence
[TABLE]
and is thus in which, in view of Theorem 2.2. of [9] yields
[TABLE]
Again, after a finite number of steps, we achieve
[TABLE]
Now, thanks to the trace theorem and the estimates that we proved for one may conclude that, if is finite, then
[TABLE]
Thanks to that information, one may solve System (1.1) supplemented with initial data whenever and the existence time provided by Theorem 3.1 is independent of In that way, taking we get a continuation of the solution beyond thus contradicting the definition of
Hence In other words, the solution is global and all the estimates of the previous sections are true on Furthermore, it is clear that they are uniform with respect to
Step 4.
The previous step ensures uniform boundedness of in the desired existence space. The last step is to prove the convergence of a subsequence. Since we have more regularity than in the classical weak solutions theory, one can pass to the limit by following the steps therein. However, this would give some restriction on the pressure laws that one can consider (typically, if then one has to assume that ). In our case, the higher regularity of the velocity will enable us to pass to the limit for rather general pressure laws, and by means of a much more elementary method.
To start with, let us observe that, up to extraction, we have
[TABLE]
Indeed, since and are bounded in Lemma 3.2 of [12] implies that is bounded in for all which, combined with the fact that is also bounded in implies that
[TABLE]
This entails (3.21) by standard compact Sobolev embedding.
This is still not enough to pass to the limit in the pressure term of the momentum equation. To achieve it, we shall exhibit some strong convergence property for the effective viscous flux .
From (3.11) and uniform estimates given by the previous sections, one knows that
[TABLE]
which already yields weak convergence.
To get strong convergence, one can take advantage of uniform estimates for : from the previous step, Sobolev embeddings and the relation
[TABLE]
we gather that is bounded in for all finite and (or just if ). Furthermore, we also know that is bounded in Since is bounded in (again, use the previous step), one may conclude that
[TABLE]
By suitable modification of Lemma 3.2 of [7], we deduce that
[TABLE]
and interpolating with (3.22) allows to get that is bounded in for some small enough So, finally, up to extraction, we have
[TABLE]
We are now in a good position to prove the strong convergence of the density. After suitable relabelling, the previous considerations ensure that there exists a sub-sequence of such that, for all
[TABLE]
Since for all we have
[TABLE]
the limit fulfills
[TABLE]
At this point, let us emphasize that, since (another consequence of the uniform estimates provided by the previous step) and one can assert that is actually a renormalized solution of (3.26) (apply Theorem II.2 of [18]), and thus fulfills
[TABLE]
Of course, since is smooth, we also have
[TABLE]
Then, remembering the definition of we get
[TABLE]
and the limit version
[TABLE]
Denote by and the weak limits of and , respectively. Since functions and are convex, we know that
[TABLE]
Furthermore, integrating (3.29) and (3.30) on we find that
[TABLE]
By construction, the term pertaining to the initial data tends to zero. Furthermore, since converges strongly to the last term also tends to zero. This leads us to
[TABLE]
Combining with (3.31), one may now conclude that
[TABLE]
Since the function is strictly convex we find by standard arguments that converges strongly and pointwise to Hence one can pass to the limit in all the nonlinear terms (in particular in the pressure one) of the momentum equation, and conclude that is indeed a solution to (1.1).
Besides, classical arguments that may be found in [18] ensure that for all and that strong convergence holds true in the corresponding space. Thanks to that information, since (1.6) is fulfilled with data by the sequence one may pass to the limit and see that satisfies (1.6) as well. Finally, since the internal energy is continuous with respect to time (a consequence of the strong convergence of ), one may reproduce the argument that has been used in [12] so as to prove that This completes the proof of our existence theorems in dimensions and ∎
Proof of Theorem 1.3. We end this section with a fast justification of the convergence of solutions to (1.1) to those of (1.10) when goes to leading to Theorem 1.3. As the proof goes along the lines of that of Theorem 1.1, we just indicate the main steps. The starting point is the estimate provided by Proposition 2.1 which ensures in particular (1.11), that is bounded in and that is bounded in while Proposition 2.2 guarantees that is bounded in Hence, there exists and a subsequence of such that
[TABLE]
As in the proof of existence, in order to get some compactness, one may look at time weighted estimates. More specifically, we know from Proposition 2.3 that if then
[TABLE]
and this ensures that is bounded in, say, for all Hence, we actually have (extracting one more subsequence as the case may be),
[TABLE]
Next, arguing exactly as in the proof of existence, we get that, for all finite and
[TABLE]
from which we deduce that is bounded in for all and, eventually
[TABLE]
Putting together all those results of convergence, one gets
[TABLE]
Since we know in addition (from (1.11)) that one can conclude that satisfies (1.10). Finally, from the uniform bounds that are available for one may check that has the regularity of the solution constructed in Theorem 2.1 of [12], which is unique. Hence the whole family converges to ∎
4. The proof of uniqueness
Here we show the uniqueness of the solutions we constructed in the paper, both in dimensions and The main difficulty we have to face is that having and in (see Corollary 2.1) does not ensure that is in so that, in contrast with our recent work [10], one cannot reformulate System (1.1) in Lagrangian coordinates to prove uniqueness. However, we do have is in for some which will turn out to be enough to prove uniqueness provided that the pressure law is linear. Actually, we encounter the same difficulty as in D. Hoff’s paper [23]: we need, at some point, to bound the difference of the pressures in by the norm of the difference of the densities in which is impossible if is nonlinear.
Proposition 4.1**.**
Assume that for some and consider two finite energy solutions and of (1.1) on () with bounded density, satisfying (1.4) and emanating from the same initial data. If, in addition, and are in and are in belong to
[TABLE]
then on
Proof.
The general scheme of the proof is the same in dimensions or Assume that for notational simplicity and consider two solutions and to (1.1) corresponding to the same initial data . The system for the difference
[TABLE]
reads
[TABLE]
In order to show that and we shall perform estimates in for and in for To this end, we set (which makes sense, since ) so that
[TABLE]
Now, testing the first equation of (4.2) by yields
[TABLE]
The last term is bounded as follows:
[TABLE]
Regarding the first one, observe that (with the usual summation convention)
[TABLE]
Hence, we have
[TABLE]
Now, in light of the following inequality (see e.g. [31, Thm. D]),
[TABLE]
we discover that
[TABLE]
Since the densities are bounded by , we have
[TABLE]
Hence Inequality (4.5) implies that for some constant depending only on
[TABLE]
Since this gives after integration that for all
[TABLE]
Hence, using (4.3) and denoting we get after using Cauchy-Schwarz inequality, for all
[TABLE]
In order to control the difference of the velocities, we introduce the solution to the following backward parabolic system:
[TABLE]
Solving the above system is not part of the classical theory for linear parabolic systems, as the coefficients are rough and may vanish. However, if and are regular with bounded away from zero, this is well known, and the case we are interested may be achieved by a regularizing process of and after using Inequality (4.12) below for the corresponding regular solutions.
Now, testing the equation by we find that
[TABLE]
Next, we test (4.9) by and take advantage of the usual elliptic estimates given by
[TABLE]
that ensure that
[TABLE]
in order to get
[TABLE]
If then we bound the last term as follows:
[TABLE]
If then we rather write that
[TABLE]
Hence, using the properties of regularity of , plugging the above inequality in (4.11), then resorting to Gronwall inequality, we get
[TABLE]
with depending only on the norms of the two solutions on
Let us next test (4.2) by We get
[TABLE]
One can bound the first term of the right-hand side as follows:
[TABLE]
For bounding the last term of (4.13), one can just use the fact that
[TABLE]
Finally, we note that
[TABLE]
Plugging the above three inequalities in (4.13), we get
[TABLE]
Observe that our assumptions on guarantee that we have
[TABLE]
Next, we have to bound the terms containing in (4.14) by means of the data. Since need not be zero, Poincaré inequality (A.2) becomes
[TABLE]
To bound the mean value of we note that integrating (4.9) on readily gives
[TABLE]
Therefore we have
[TABLE]
whence
[TABLE]
Then, combining with (4.12), we end up with
[TABLE]
By interpolation and Sobolev embedding, it follows that for small enough if (and if ), we have
[TABLE]
Likewise, we have
[TABLE]
whence
[TABLE]
Finally, using once more that for we get after plugging all the above inequalities in (4.14), for all
[TABLE]
Clearly, the above inequality implies that, if is small enough then
[TABLE]
Plugging that inequality in (4.8) and assuming that is small enough, we obtain
[TABLE]
Then, Osgood lemma (see e.g. [1, Lem. 3.4]) implies that on and thus, owing to (4.19), that on
Now, since and are zero, the second equation of (4.2) becomes
[TABLE]
which implies that
[TABLE]
Since one gets (in light of Inequality (A.2)) that on which completes the proof of uniqueness.
To complete the proof of Theorem 1.2, it suffices to observe that Inequality (2.71) implies Assumption (4.1) in Proposition 4.1. ∎
Appendix A Some inequalities
The following Osgood type lemma has been used in Section 2.
Lemma A.1**.**
Let and be two locally integrable nonnegative functions on and assume that the a.e. differentiable function satisfies
[TABLE]
Then we have for all
[TABLE]
Proof.
It suffices to prove the inequality on for all Setting then with we have for all
[TABLE]
Therefore, integrating once,
[TABLE]
Then considering and taking twice gives
[TABLE]
Reverting to the original function gives exactly what we want at ∎
We also used the following Poincaré inequality.
Lemma A.2**.**
Let be in with and if ( if ). Assume that
[TABLE]
There exists a constant depending on and on (and with ), such that
[TABLE]
Furthermore, in dimension we have
[TABLE]
Proof.
Let be the average of and Then we have by Poincaré inequality,
[TABLE]
Now, hypothesis (A.1) implies that for all real number we have
[TABLE]
Therefore, by Sobolev inequality,
[TABLE]
and, clearly, This gives (A.2).
To handle the endpoint case and decompose into Fourier series:
[TABLE]
and set for any integer
[TABLE]
By Cauchy-Schwarz inequality, it is easy to prove that
[TABLE]
Because the average of is one may write, thanks to (A.5) that for all
[TABLE]
Therefore, using Hölder and Poincaré inequality, and also (A.7),
[TABLE]
Then taking gives
[TABLE]
which, combined with (A.4) yields (A.3). ∎
We used the following version of Desjardins’ estimate in [14].
Lemma A.3**.**
Let with and Then, there exists a universal constant such that for all real number we have
[TABLE]
Proof.
Let and fix some Then, keeping the same notation as in the above lemma and using Hölder inequality,
[TABLE]
We thus have, using Young inequality and embedding
[TABLE]
Hence, taking advantage of (A.7) and of
[TABLE]
then plugging (A.11) in (A.10), we get
[TABLE]
Taking and using (A.8) to bound yields the desired inequality. ∎
Appendix B End of the proof of time weighted estimates in the 2D case
We here provide the reader with the proofs of Inequalities (2.61) and (2.66).
Proof of (2.61)
We use (2.49) to bound as follows:
[TABLE]
From (2.72), we know that
[TABLE]
Since we have
[TABLE]
and a similar inequality for combining (B.2) and Proposition 2.1 yields
[TABLE]
Therefore, putting together with (2.48), we gather that
[TABLE]
Term is almost the same: taking into account (B.3), we obtain
[TABLE]
To handle we integrate by parts several times and get (with the summation convention for repeated indices and the notation ):
[TABLE]
As integrating by parts one more time in the first term of the right-hand side just above, we conclude that
[TABLE]
Hence, using Hölder inequality and the continuity of on we get
[TABLE]
Hence, thanks to (1.6) and (2.52), one can conclude that
[TABLE]
Proof of (2.66)
We use the decomposition with
[TABLE]
In order to handle we integrate by parts (note that ) and use the fact that We get, with the usual summation convention
[TABLE]
Therefore,
[TABLE]
Next, integrating by parts in and using gives
[TABLE]
from which we get
[TABLE]
Finally, using again the notation we have
[TABLE]
Therefore,
[TABLE]
Plugging (2.5), (B.3), (2.48), (2.51) and (2.52) in (B.8), (B.9) and (C.29) yields (2.66).
Appendix C The three-dimensional case
This section is devoted to extending our existence result to the three-dimensional torus. For expository purpose, we focus on the global-in-time issue for small data, although a similar statement may be proved locally in time for large data.
Theorem C.1**.**
Let be in and be a bounded nonnegative function on Assume that for some and There exists depending only on and on the norms of the data, and such that if
[TABLE]
then System (1.1) has a unique global solution with the same properties as in Theorem 1.1.
The general strategy is basically the same as for the two-dimensional case, except that the smallness condition spares our using the logarithmic interpolation inequality (that does not hold for ). We just underline what has to be changed in the main steps of the proof.
Step 1: Sobolev estimates for the velocity
The counterpart of Proposition 2.1 reads:
Proposition C.1**.**
Let be a smooth solution of (1.1) on fulfilling (1.5) and (2.3). Assume that satisfies (1.9) and denote Under condition (C.1) and for large enough there exists a constant such that for all we have
[TABLE]
Proof.
In order to be able to consider general initial data with large energy, it is suitable to modify the definition of as follows:
[TABLE]
where is still defined by (2.12). Owing to (2.26) that is also valid for , we have
[TABLE]
Then, we start from Inequality (2.18) that is valid in any dimension and, instead of (1.13), we use that
[TABLE]
One can thus bound the right-hand side of (2.17) as follows:
[TABLE]
[TABLE]
and also, thanks to Inequality (A.2),
[TABLE]
Next, instead of (2.22), we write that, in light of Inequality (A.2) with , we have
[TABLE]
Therefore, the right-hand side of Inequality (2.23) becomes
[TABLE]
Then, following the computations leading to (2.30) and assuming that satisfies
[TABLE]
we get,
[TABLE]
with
[TABLE]
Hence, remembering Inequality (C.3), one can conclude that if satisfies (C.5), then we have the differential inequality
[TABLE]
Setting
[TABLE]
Inequality (C.6) rewrites
[TABLE]
This may be integrated into
[TABLE]
Bounding according to (1.6), we see that under the smallness condition
[TABLE]
we have
[TABLE]
Note that the largeness condition (C.5) on guarantees that the argument of the exponential function above is very small. Therefore, the smallness condition (C.7) may be simplified into
[TABLE]
If (C.1) holds true, then that latter condition is fulfilled for large compared to ∎
Remark C.1**.**
Note that the smallness condition means that one can take the initial energy as large as we want provided that is large enough, but that must be At the same time, there is no smallness condition on whatsoever.
Step 2: Upper bound for the density
In order to adapt Proposition 2.2 to the case the only changes are in (2.38) and (2.40). As regards (2.38), one may still start from (2.37) then combine with (C.4) in order to get
[TABLE]
Next, instead of (2.39), in order to bound the commutator term, we write that
[TABLE]
Now, combining Hölder inequalities, Sobolev embedding and interpolation inequalities yields
[TABLE]
Therefore, in Inequality (2.39) becomes
[TABLE]
In order to bound the last term, we use that
[TABLE]
Hence, using the energy conservation (1.6) and the definition of and
[TABLE]
Plugging inequalities (C.9) and (C.11) in (2.36), we get
[TABLE]
Since the integrals in the right-hand side may be bounded in terms of the data according to the basic energy inequality (1.6) and to (2.42), we eventually get if is large enough:
[TABLE]
with depending only on and From this point, one can conclude as in the two-dimensional case that (2.33) is fulfilled if is large enough.
Step 3: Time weighted estimates
As in the 2D case, the starting point is Identity (2.47). However, Inequality (2.48) that has been used all the time has to be replaced with an estimate for in : we write that the previous steps and (B.2) imply that
[TABLE]
where the meaning of is the same as in the two-dimensional case.
Similarly, we have
[TABLE]
Since (2.52) is valid in any dimension, one can conclude that
[TABLE]
Substep 1
Compared to the only change lies in the estimate for Now, still using that we write that
[TABLE]
The first term may be treated as in the 2D case. As for the second one, we use the fact that (2.72) ensures that
[TABLE]
Hence, using Proposition 2.1 to bound we get
[TABLE]
In the end, we thus obtain
[TABLE]
Substep 2
Instead of (2.60), we use that, by virtue of (C.15),
[TABLE]
For bounding we decompose it into three parts, as in (B.1). For we write that
[TABLE]
Let us notice that
[TABLE]
Indeed, as already used for proving (C.13) and (C.14), we have
[TABLE]
and we have the obvious inequality
[TABLE]
Hence, combining Sobolev embedding and (C.18), we obtain
[TABLE]
In order to bound we now write that
[TABLE]
Therefore, using the previous section and (C.18), we get
[TABLE]
To bound we use (B.6) as in the two-dimensional case. The first two terms of the decomposition may be bounded as before. For the third one, we use the fact that
[TABLE]
and that
[TABLE]
Hence, one can conclude that
[TABLE]
Putting together all the estimates of the second substep, we get
[TABLE]
Substep 3
To bound (defined in (2.64)), we write that
[TABLE]
whence
[TABLE]
We decompose as in the case To bound we write that
[TABLE]
For we have
[TABLE]
Finally, we have
[TABLE]
Plugging (2.5), (B.3), (2.48), (2.51) and (2.52) in (C.27), (C.28) and (C.29) yields
[TABLE]
The conclusion of this step is that, if is large enough then
[TABLE]
Substep 4
Term may still be bounded according to Inequality (2.69). As for we have
[TABLE]
So this step gives
[TABLE]
Susbstep 5
Combining Inequalities (2.57), (C.25), (C.30) and (C.31) yields for large
[TABLE]
Playing with Young inequality and Gronwall Lemma yields Prop. 2.3 for
It is now easy to adapt Corollary 2.1 to the 3D case: we start from
[TABLE]
Hence, remembering (2.72) and using the embedding
[TABLE]
Therefore, as in the 2D case,
[TABLE]
and one can thus conclude that is in provided that Bounding is left to the reader.
Acknowledgments. This work was partially supported by ANR-15-CE40-0011. The second author (P.B.M.) has been partly supported by the Polish National Science Centre’s grant No 2018/29/B/ST1/00339.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] H. Bahouri, J.-Y. Chemin and R. Danchin: Fourier Analysis and Nonlinear Partial Differential Equations, Grundlehren der mathematischen Wissenschaften, 343 , Springer (2011).
- 2[2] D. Bresch and P.-E. Jabin: Global existence of weak solutions for compressible Navier-Stokes equations: thermodynamically unstable pressure and anisotropic viscous stress tensor. Ann. of Math. 188 (2018), no. 2, 577–684.
- 3[3] T. Buckmaster and V. Vicol: Nonuniqueness of weak solutions to the Navier-Stokes equation, Ann. of Math. 189 (2019), no. 1, 101–144.
- 4[4] E. Chiodaroli and O. Kreml: On the energy dissipation rate of solutions to the compressible isentropic Euler system. Arch. Ration. Mech. Anal. 214 (2014), 1019–1049.
- 5[5] Y. Cho, H.J. Choe and H. Kim: Unique solvability of the initial boundary value problems for compressible viscous fluids, J. Math. Pures Appl. 83 (2004), no. 2, 243–275.
- 6[6] R. Coifman, P.-L. Lions, Y. Meyer, and S. Semmes: Compensated compactness and Hardy spaces, J. Math. Pures Appl. , 72 (1993), no. 3, 247–286.
- 7[7] R. Danchin: Global existence in critical spaces for compressible Navier-Stokes equations, Inventiones Mathematicae , 141 (2000), no. 3, 579–614.
- 8[8] R. Danchin: Local theory in critical spaces for compressible viscous and heat-conductive gases, Comm. Partial Differential Equations , 26 (2001), no. 7-8, 1183–1233.
