Vanishing viscosity limit for the compressible Navier-Stokes system via measure-valued solutions
Danica Basari\'c

TL;DR
This paper demonstrates that measure-valued solutions of the barotropic Euler system can be obtained as the vanishing viscosity limit of the compressible Navier-Stokes system, establishing convergence and uniqueness results.
Contribution
It introduces a framework linking measure-valued solutions to the vanishing viscosity limit for the compressible Navier-Stokes equations on unbounded domains.
Findings
Established measure-valued solutions as limits of Navier-Stokes with vanishing viscosity.
Proved weak-strong uniqueness principle for these solutions.
Achieved strong convergence to the Euler system during the lifespan of strong solutions.
Abstract
We identify a class of measure-valued solutions of the barotropic Euler system on a general (un-bounded) spatial domain as a vanishing viscosity limit for the compressible Navier-Stokes system. Then we establish the weak (measure-valued)-strong uniqueness principle, and, as a corollary, we obtain strong convergence to the Euler system on the lifespan of the strong solution.
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Vanishing viscosity limit for the compressible Navier–Stokes system
via measure–valued solutions
Danica Basarić
Abstract
We identify a class of measure–valued solutions of the barotropic Euler system on a general (unbounded) spatial domain as a vanishing viscosity limit for the compressible Navier–Stokes system. Then we establish the weak (measure–valued)–strong uniqueness principle, and, as a corollary, we obtain strong convergence to the Euler system on the lifespan of the strong solution.
Technische Universität Berlin
Institute für Mathematik, Straße des 17. Juni 136, 10623 Berlin, Germany
E-mail address: [email protected]
We consider the compressible Euler system with damping
[TABLE]
[TABLE]
here denotes the density, the momentum - with the convection that the convective term is equal to zero whenever - and the pressure. The term , with , represents “friction”. We will study the system on the set , where is a fixed time, with , can be a bounded or unbounded domain, along with the boundary condition
[TABLE]
for all ; if is unbounded, we impose the condition at infinity
[TABLE]
with . We also consider the following initial data
[TABLE]
with . We finally assume that the pressure is given by the isentropic state equation
[TABLE]
where is the adiabatic exponent and is a constant.
Our goal is to identify a class of generalized - dissipative measure valued (DMV) solutions - for the Euler system (1), (2) as a vanishing viscosity limit of the Navier–Stokes equations. More specifically, we start considering the set
[TABLE]
where we assume to be at least a Lipschitz domain, and we consider the Navier–Stokes system:
[TABLE]
[TABLE]
now is the velocity and is the viscous stress, which we assume to be a linear function of the velocity gradient, more specifically to satisfy the Newton’s rheological law
[TABLE]
where , are constants. Introducing we also have
[TABLE]
As our goal is to perform the vanishing viscosity limit for the Navier–Stokes system, we impose the complete slip boundary conditions on :
[TABLE]
and the no–slip boundary conditions on :
[TABLE]
for all . Of course, (11) and (12) are compatible only if for large enough meaning that is a compact set. That is is either (i) bounded, or (ii) exterior domain, or (iii) . For the sake of simplicity, we restrict ourselves to these three cases.
Finally, we impose the initial conditions:
[TABLE]
Our goal will be first to show that the solutions of the Navier–Stokes system converge to the measure-valued solution of the Euler system with damping in the zero viscosity limit, then we will prove the weak-strong uniqueness principle for the Euler system, see Theorem 2.3. Then we conclude that solutions of the Navier–Stokes system converge to smooth solution of the Euler system as long as the latter exists, see Theorem 2.5. Note that the vanishing viscosity limit for the compressible Navier–Stokes system on a bounded domain was studied by Sueur [14]. Our goal is to propose an alternative approach based on the concept of dissipative measure–valued solutions and extend the result to a more general class of domains. The concept of dissipative measure–valued solution is of independent interest and has been use recently in the analysis of convergence of certain numerical schemes, see [5].
1 From the Navier–Stokes to the Euler system
1.1 Weak formulation
To get the weak formulation of the Navier–Stokes system, we simply multiply both equations (7), (8) by test functions, and, supposing also that the density and the momentum are weakly continuous in time, we get
[TABLE]
for any and all , and
[TABLE]
for any and all with .
Multiplying (8) by u and introducing the pressure potential as the solution of the equation
[TABLE]
which, for instance, in our case can be taken as
[TABLE]
(notice in particular that ; this will be used later) we get the energy equality
[TABLE]
from which the energy inequality follows
[TABLE]
for a.e. . For more details see [3].
1.2 Existence of weak solutions
Now, we have the following result (for the proof see [3]).
Theorem 1.1**.**
Let be a Lipschitz domain with compact boundary , , and let be arbitrary. Suppose that the initial data satisfy
[TABLE]
Let the pressure satisfy (6) with
[TABLE]
Then the Navier–Stokes system (7)-(13) admits a weak solution in such that
the density is a non-negative function a.e. in and satisfies
[TABLE]
the velocity satisfies
[TABLE]
the momentum satisfies
[TABLE] 2. 2.
the weak formulations of the continuity equation (14) and of the momentum balance (15) are satisfied in ; 3. 3.
the energy inequality (17) holds for a.e. .
1.3 Reformulation of the problem in terms of a background density
Choosing a background density , we can slightly change the energy inequality; indeed the Navier–Stokes system can be rewritten as
[TABLE]
[TABLE]
Again, multiplying both equations by test functions and using the weak continuity in time we obtain
[TABLE]
for any and all , and
[TABLE]
for any and all with . Also, integrating the first equation over along with condition (12), we get
[TABLE]
Since , we can rewrite (16) as
[TABLE]
and (17) becomes
[TABLE]
for a.e. .
1.4 Weak sequential stability
We can then consider the family of dissipative weak solutions to the previous Navier–Stokes system with initial data defined in ; in particular, they will satisfy the following conditions:
[TABLE]
for all , and
[TABLE]
for all . We have replaced by in the previous integrals. Note that this is correct for large enough as the test functions are compactly supported in .
More precisely, thanks to the weak continuity of the densities and momenta, we have
[TABLE]
for any and all ,
[TABLE]
for any and all , .
Finally, we have the energy inequality
[TABLE]
for a.e. . In (21), we suppose that the initial data have been chosen on in such a way that
[TABLE]
where the constant is independent of . Then, extending to be zero and as outside , we easily deduce from the energy inequality that
[TABLE]
[TABLE]
[TABLE]
where the bounds are independent of . Next, from (25), we can deduce that
[TABLE]
Now, we can use the following relation
[TABLE]
for a positive constant (see [4]). Following [6], we introduce the decomposition of an integrable function :
[TABLE]
where
[TABLE]
[TABLE]
Then we have
[TABLE]
and
[TABLE]
where means modulo a multiplication constant. In particular this implies that
[TABLE]
[TABLE]
passing to suitable subsequences as the case may be; defining , we have that
[TABLE]
We can repeat the same procedure for the momenta; indeed, using (23) we have
[TABLE]
we also have
[TABLE]
which, together with (23) and Hölder’s inequality with , gives
[TABLE]
Then we obtain
[TABLE]
passing to suitable subsequences as the case may be. In a similar way we have
[TABLE]
and
[TABLE]
Also, noticing that
[TABLE]
from (23) we deduce that also the convective terms are uniformly bounded in the non-reflexive space , or better, in .
There are two disturbing phenomena that may occur to bounded sequences in : oscillations and concentrations. The idea is then to see as embedded in the space of bounded Radon measures - that happens to be the dual to the separable space - through the identification
[TABLE]
if .
Accordingly, we may assume
[TABLE]
passing to suitable subsequences as the case may be. This means,
[TABLE]
for every ; the same holds for the other convergences.
We can now let in (19), (20); notice that the -dependent viscous stress tensor vanishes. Indeed, using (26) and Hölder’s inequality we get
[TABLE]
Then we get
[TABLE]
for every , and
[TABLE]
for every . We can equivalently write
[TABLE]
for every , and
[TABLE]
for every . As a matter of fact, the limit for can be strengthened to
[TABLE]
the same holds for the limit of :
[TABLE]
We can then rewrite the last two integral equations as
[TABLE]
for any and any and
[TABLE]
for any and any , .
Finally, using the generalization of the concept of Lebesgue point to Radon measures, we can deduce from the energy inequality (21)
[TABLE]
for a.e. , where
[TABLE]
Equations (31), (32), and (33) form a suitable platform for introducing the measure–valued solutions of the Euler system. To state the exact definition, we make a short excursion in the theory of Young measures.
1.5 Young measures
We will introduce some useful notations.
Definition 1.2**.**
Let be an open set. The mapping is said to be weak- measurable, if for all the function
[TABLE]
is measurable; here and in the sequel we use the standard notation , as if measures were parametrized by . In this case, since
[TABLE]
the function is also measurable and we can define
[TABLE]
Finally, let
[TABLE]
Then, the following theorem holds.
Theorem 1.3**.**
Let be open. Let be a linear bounded functional. Then there exists a unique such that, for all ,
[TABLE]
and
[TABLE]
Proof.
See [10], Chapter 3, Theorem 2.11. ∎
From now on we will consider and the sequence of solutions to the Navier–Stokes system; we can now construct the Young measure associated to the sequence . First, for every we define the mapping
[TABLE]
defined for a.e. by
[TABLE]
where is the Dirac measure supported at . Hence, for every the function
[TABLE]
is measurable since it is integrable; indeed
[TABLE]
and then
[TABLE]
If we define
[TABLE]
it is weakly- measurable and we also have that
[TABLE]
Therefore, is uniformly bounded in , which by Theorem 1.3 is the dual space of the separable space ; we can apply the Banach-Alaoglu theorem to find a subsequence, not relabeled, and such that
[TABLE]
This means that for all
[TABLE]
If we now choose with , , the last limit tells us that
[TABLE]
Then, for every , knowing that
[TABLE]
we can deduce that
[TABLE]
From the weak- lower semi-continuity of the norm we also have that
[TABLE]
What we proved is the first statement in the following theorem.
Theorem 1.4**.**
Let be a measurable set and let , , be a sequence of measurable functions. Then there exists a subsequence, still denoted by , and a measure-valued function with the following properties:
, , for a.e. and we have for every , as ,
[TABLE] 2. 2.
moreover, if
[TABLE]
for every , where , then
[TABLE] 3. 3.
Let be a Young function satisfying the -condition. If condition (35) holds and if we have for some continuous function
[TABLE]
then
[TABLE]
Proof.
See [10], Chapter 4, Theorem 2.1. ∎
Remark 1.5*.*
If are uniformly bounded in for some , the condition (35) is satisfied. Indeed, denoting , we have
[TABLE]
Since is independent of both and , we obtain
[TABLE]
which implies (35).
First, notice that condition (35) is satisfied for ; indeed, denoting again we have, for
[TABLE]
and hence at least one of the terms on the last line must be so that
[TABLE]
For large enough , we have
[TABLE]
where in particular the constant is independent of and so that
[TABLE]
which implies (35). Then we obtain that the Young measure in our case is a parametrized family of probability measures supported on the set , since the densities are supposed to be non-negative:
[TABLE]
[TABLE]
It is also easy to check that with are Young functions that satisfy the -condition with the constant , and in that case . Thus,
first, we can take and , where in our case, to notice that condition (36) is equivalent in requiring that are uniformly bounded in which is true from (27). Then we obtain
[TABLE]
also, taking and , condition (36) is equivalent in requiring that are uniformly bounded in which is true from (28). Then we obtain
[TABLE]
Unifying the two results we get
[TABLE]
We will write for almost every just to make the notation readable; 2. 2.
secondly, we can take and with to see that condition (36) is equivalent in requiring that each component of is uniformly bounded in which is true from (29). Also, choosing and with , condition (36) is equivalent in requiring that each component of is uniformly bounded in which is true from (30). Then we obtain
[TABLE]
which we will write for almost every .
1.6 Concentration measures and dissipation defect
In the previous subsection we showed that the Young measure, applied to proper continuous functions, coincides almost everywhere with the density and the momentum m. Now, we examine what happens for those functions for which we only know that
[TABLE]
Without loss of generality, we can consider or, equivalently, assume that . We take a family of cut-off functions
[TABLE]
Then and from the previous construction we know that
[TABLE]
with
[TABLE]
On the other hand we have that
[TABLE]
thus, by monotone convergence theorem, we have that
[TABLE]
hence is -integrable but the integral can also be infinite. However, by the weak- lower semi-continuity of the norm
[TABLE]
uniformly in . Then, since
- (i)
for a.e. ;
- (ii)
,
applying Fatou’s lemma we get that . Then is finite for a.e. .
In view of this we can introduce new measures
[TABLE]
Now, revisiting the momentum equation (32) and the fact that
[TABLE]
we get
[TABLE]
for all and for all , , which can be rewritten as
[TABLE]
for all and for all , , where is a tensor-valued measure.
Similarly, from (33) we get
[TABLE]
for a.e. , which can be rewritten as
[TABLE]
for a.e. , with such that
[TABLE]
We also have that
[TABLE]
for a.e. . Indeed,
[TABLE]
Now, we need the following
Lemma 1.6**.**
Let , be a sequence generating a Young measure , where is a measurable set in . Let
[TABLE]
be a continuous function such that
[TABLE]
and let be continuous such that
[TABLE]
Denote
[TABLE]
where are the weak- limits of , in . Then
[TABLE]
Proof.
We have seen that the Young measure is such that for all
[TABLE]
as . Now, from the fact that
[TABLE]
we have that for all
[TABLE]
Now, we can write
[TABLE]
with
[TABLE]
then, we have that ; indeed, calling we have
[TABLE]
since both and are continuous functions and so they admit maximum on compact sets. Then, for what we have told previously, we have
[TABLE]
Applying now Lebesgue theorem we have
[TABLE]
Similarly
[TABLE]
Then, we deduce
[TABLE]
Then, from condition we obtain what we wanted to prove. ∎
We can apply the lemma with
- •
;
- •
;
- •
,
and with , first and , then, to get
[TABLE]
1.7 Dissipative measure-valued solution for the compressible Euler system with damping
Motivated by the previous discussion, we are ready to introduce the concept of dissipative measure–valued solution to the compressible Euler system with damping. It can be seen is a generalization of a similar concept introduced by Gwiazda et al. [7]. While the definition in [7] is based on the description of concentrations via the Alibert–Bouchitté defect measures [1], our approach is motivated by [2], where the mere inequality (37) is required postulating the domination of the concentrations by the energy dissipation defect. This strategy seems to fit better the studies of singular limits on general physical domains performed in the present paper.
Definition 1.7**.**
A parametrized family of probability measures
[TABLE]
[TABLE]
is a dissipative measure-valued solution of the problem (1), (2) with the initial condition if
the integral identity
[TABLE]
holds for all , and for all , where is a vector–valued measure; 2. 2.
the integral identity
[TABLE]
holds for all and for all , , where is a tensor–valued measure; both are called concentration measures; 3. 3.
the following inequality
[TABLE]
holds for a.e. , where , is called dissipation defect of the total energy; 4. 4.
there exists a constant such that
[TABLE]
for a.e. .
Now, summarizing the discussion concerning the vanishing viscosity limit of the Navier–Stokes system, we can state the first result of the present paper.
Theorem 1.8**.**
Let , be a domain with compact Lipschitz boundary and be a given far field density if is unbounded. Suppose that and let , be a family of weak solutions to the Navier–Stokes system (7) – (12) in
[TABLE]
Let the corresponding initial data , be independent of satisfying
[TABLE]
Then the family generates, as , a Young measure which is a dissipative measure–valued solution of the Euler system (1), (2).
2 Weak-strong uniqueness
Our next goal is to show that the dissipative measure-valued solutions introduced in the previous section satisfy an extended version of the energy inequality (40) known as relative energy inequality.
We introduce the relative energy functional:
[TABLE]
If is strictly increasing in , which is true in our case, then the pressure potential is strictly convex; indeed
[TABLE]
For a differentiable function this is equivalent in saying that the function lies above all of its tangents:
[TABLE]
for all , and the equality holds if and only if . Thus, we deduced that , where equality holds if and only if
[TABLE]
We can now prove the following
Theorem 2.1**.**
Let be a strong solution of the compressible Euler system with damping with compactly supported initial data so that , where in particular , and with . Let be a dissipative measure-valued solution of the same system (in terms of and the momentum m), with a dissipation defect and such that
[TABLE]
Then and
[TABLE]
Remark 2.2*.*
Note that we must have if is unbounded.
Proof.
It is enough to prove that for all . We can take U as a test function in the momentum equation (39) to obtain
[TABLE]
and as a test function in the continuity equation (38) to get
[TABLE]
Finally, take as test function in (38) to get
[TABLE]
Then, from the energy inequality (40), summing up all these terms we get
[TABLE]
[TABLE]
Notice that the term
[TABLE]
is well-defined and integrable. We have
[TABLE]
where, since ,
[TABLE]
Then
[TABLE]
and knowing that the pressure potential satisfy the equation
[TABLE]
we can deduce that
[TABLE]
We obtain the relative energy inequality:
[TABLE]
Now we can use the fact that is a strong solution: from the momentum equation we can deduce that
[TABLE]
substituting, we get
[TABLE]
From the continuity equation we also have
[TABLE]
and thus, knowing that , we get
[TABLE]
Finally, using the fact that the initial data are the same and thus , we end up to
[TABLE]
Since U and have compact support we can control the terms , , and by some constants. It is also obvious that there exist a constant such that
[TABLE]
and a constant such that
[TABLE]
Thus
[TABLE]
By Gronwall lemma we obtain
[TABLE]
But since this implies and for all . ∎
Notice that the relative energy inequality (45) is true for general functions , , not necessarily strong solutions to the Euler system. Then, using a density argument, we can prove the following result.
Theorem 2.3**.**
Let be a strong solution of the compressible Euler system with damping such that , , where in particular , and with . Let be a dissipative measure-valued solution of the same system (in terms of and the momentum m), with a dissipation defect and such that
[TABLE]
Then and
[TABLE]
Proof.
We will first prove that the relative energy inequality (45) holds for as in our hypothesis. By density, we can find two sequences , such that
[TABLE]
If we now fix , we know that there exists such that, for every
[TABLE]
[TABLE]
From now on, let ; for each we have
[TABLE]
Revoking notation introduced in Section 1.4, we focus on the last two lines line: we can rewrite the first term as
[TABLE]
since we can apply Hölder’s inequality to get
[TABLE]
We also have that with compact and since we obtain ; using the embedding of the Sobolev space into the Hölder one we get that and hence for all . Since , we can again apply Hölder’s inequality to get
[TABLE]
For the second term we can apply Hölder’s inequality:
[TABLE]
Applying the same procedure as before to the third term we get
[TABLE]
For the last term we simply have
[TABLE]
Similarly,
[TABLE]
We can now focus on the last two lines: the first term is simply bounded as follows
[TABLE]
The second term can be rewritten as
[TABLE]
notice that, if we use the same argument as before while if we have to use the Sobolev embedding in the -spaces. For the last term we can use Hölder inequality to get
[TABLE]
Repeating the same steps for each term that appears in the relative energy inequality and introducing the operator
[TABLE]
we have
[TABLE]
for some positive constant C, since for a test function we already proved that the relative energy inequality holds which is equivalent in saying that
[TABLE]
By the arbitrary of we can conclude that the relative energy inequality holds for as in our hypothesis.
Repeating the same passages as we did in the proof of the previous theorem, we end up to the following inequality
[TABLE]
The thesis now follows as before - the only thing that changes is that in this case U and are -functions, but still we can control the terms , , and by some constants. ∎
Remark 2.4*.*
This theorem applies to the already know results concerning strong solutions; in particular
- (i)
if is bounded, for local in time solutions see [12], and [11] for the global one;
- (ii)
if , for local in time solution see for instance [8], [9], and [13] for the global one.
2.1 Vanishing viscosity limit
We conclude showing an application of the weak-strong uniqueness principle: the solutions of the Navier–Stokes system converge in the zero viscosity limit to the strong solution of the Euler system with damping on the life span of the latter.
Theorem 2.5**.**
Let , be a domain with compact Lipschitz boundary and be a given far field density if is unbounded. Suppose that and let , be a family of weak solutions to the Navier–Stokes system (7) – (12) in
[TABLE]
with initial data such that
[TABLE]
[TABLE]
Suppose that , , , and that is the strong solution to the Euler system with damping with the same initial data.
Then
[TABLE]
[TABLE]
for any compact .
Proof.
Convergences (46), (47) follow easily from (22), repeating the same passages that we did in Section 1.4. We also proved that
[TABLE]
[TABLE]
where
[TABLE]
[TABLE]
is the Young measure associated to the sequence and also the dissipative measure-valued solution to the Euler system with damping. Then, since
[TABLE]
we can apply Theorem 2.3 to get that
[TABLE]
and hence we obtain the claim. ∎
Acknowledgement
This work was supported by the Einstein Foundation, Berlin. The author wishes to thank Prof. Eduard Feireisl for the helpful advice and suggestions.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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