Stationary solutions of the Navier-Stokes-Fourier system in planar domains with impermeable boundary
I. S. Ciuperca, E. Feireisl, M. Jai, A. Petrov

TL;DR
This paper proves the existence of stationary weak solutions for the Navier-Stokes-Fourier system in 2D bounded domains, considering realistic fluid models with temperature-dependent properties and new a priori bounds.
Contribution
It establishes existence results for weak solutions with general constitutive relations and a bounded density range, using novel a priori bounds from Trudinger-Moser inequality.
Findings
Existence of weak solutions in 2D bounded domains.
Inclusion of realistic fluid equations of state.
Development of new a priori bounds using Trudinger-Moser inequality.
Abstract
The existence of weak solutions to the Navier-Stokes-Fourier system describing the stationary states of a compressible, viscous, and heat conducting fluid in bounded 2D-domains is shown under fairly general and physically relevant constitutive relations. The equation of state of a real fluid is considered, where the admissible range of density is confined to a bounded interval (hard sphere model). The transport coefficients depend on the temperature in a general way including both gases and liquids behavior. The heart of the paper are new a priori bounds resulting from Trudinger-Moser inequality.
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Taxonomy
TopicsNavier-Stokes equation solutions · Advanced Mathematical Modeling in Engineering · Stability and Controllability of Differential Equations
Stationary solutions of the Navier–Stokes–Fourier system
in planar domains with impermeable boundary
I. S. Ciuperca Université de Lyon, Université Lyon 1, CNRS, Institut Camille Jordan UMR 5208, 43 boulevard du 11 novembre 1918, F–69622 Villeurbanne Cedex, France ([email protected])
E. Feireisl Institute of Mathematics of the Academy of Sciences of the Czech Republic, Žitná 25, CZ–115 67 Praha 1, Czech Republic & Institute of Mathematics, TU Berlin, Strasse des 17 Juni, Berlin, Germany ([email protected])
M. Jai Université de Lyon, CNRS, INSA de Lyon Institut Camille Jordan UMR 5208, 20 Avenue A. Einstein, F–69621 Villeurbanne, France ([email protected], [email protected])
A. Petrov*‡*
Abstract
The existence of weak solutions to the Navier–Stokes–Fourier system describing the stationary states of a compressible, viscous, and heat conducting fluid in bounded -domains is shown under fairly general and physically relevant constitutive relations. The equation of state of a real fluid is considered, where the admissible range of density is confined to a bounded interval (hard sphere model). The transport coefficients depend on the temperature in a general way including both gases and liquids behavior. The heart of the paper are new a priori bounds resulting from Trudinger–Moser inequality.
Keywords: Navier–Stokes–Fourier system, stationary solution, inhomogeneous boundary conditions, Trudinger–Moser inequality
Contents
1 Introduction
Let be a bounded domain with smooth boundary. Stationary states of a compressible, viscous, and heat conducting fluid contained in are described through the phase variables - the density , the velocity field , and the (absolute) temperature - satisfying the Navier–Stokes–Fourier system:
[TABLE]
We suppose the existence of the entropy related to the internal energy and the pressure through Gibbs’ equation:
[TABLE]
The viscous stress tensor is given by Newton’s rheological law:
[TABLE]
while the heat flux obeys Fourier’s law:
[TABLE]
Here and denote the transpose of a tensor and the identity matrix, respectively. The functions and represent the external force and external heat source, respectively. The problem is closed by the set of boundary conditions:
[TABLE]
where is a prescribed “threshold” temperature The interested reader may consult the monograph by Galavotti [10] or [7, Chapter 1] for physical background of the problem (1.1)–(1.5).
Our goal is to show the existence of admissible weak solutions to the Navier–Stokes–Fourier system under fairly general conditions imposed on the constitutive relations. Following [4], we consider the equation of state (EOS) describing real fluids:
[TABLE]
In particular for gases, the EOS is usually written in the form
[TABLE]
where the term represents the deviation from the standard Boyle–Mariotte law active in the degenerate area. Accordingly, we focus on EOS that can be written in the following form
[TABLE]
Note that Kolafa EOS [12] as well as Carnahan–Starling EOS [3] can be written as (1.6). In accordance with Gibbs’ relation (1.2), the associated internal energy is a function of the temperature only. Here we suppose
[TABLE]
More general EOS can be handled by the same approach. This issue is discussed briefly in the concluding part.
The available literature concerning stationary states of the Navier–Stokes–Fourier system is rather limited. Besides the results concerning smooth solutions arising as small perturbations of known static states, see Piasecki and Pokorný [16], Plotnikov, Ruban and Sokolowski [17, 18], there is a series of papers by Novotný, Pokorný, and their collaborators concerning the existence of weak solutions for problems with large data (external forces), [15]. The main novelties achieved in the present paper compared to the above mentioned results may be summarized as follows:
- •
General EOS of the form (1.6) can be handled. In particular, the pressure vanishes for , which is particularly relevant to gases. There is no need to add a ”cold pressure” component independent of .
- •
The class of transport coefficients includes
[TABLE]
This is relevant for both gases and liquids . Moreover, they are all of the same order that corresponds to finite Prandtl number.
- •
The inhomogeneous boundary conditions for the velocity (1.5a) are included.
The main new ingredient of our analysis is the Trudinger–Moser inequality available for Sobolev functions in if is a planar domain. The key point is the estimate of the temperature in the form
[TABLE]
resulting from boundedness of the associated entropy production rate. Obtaining (1.9), however, is not completely straightforward due to the presence of external driving represented by the non–homogeneous boundary condition (1.5a). Relation (1.9) is obtained via a non–standard compactness argument based on the possibility of extending the field in with sufficiently small norm. Compactness of the density is then obtained by a combination of the method proposed by Lions [13] based on the monotonicity of the pressure, and Commutator Lemma originally introduced in [6] to handle the time dependent viscosity coefficients. The reader is also refered to [7, Lemma 3.6, p. 100].
The paper is organized as follows. In Section 2, we collect the necessary preliminary material, formulate principal hypotheses, and state the main result. The existence proof follows a multi–level approximate scheme introduced in Section 3. It consists in:
- •
introducing artificial viscosity to regularize the equation of continuity (1.1a) (small parameter );
- •
discretizing the momentum equation (1.1b) by means of a Galerkin approximation (dimension of the approximate space);
- •
replacing the total energy balance (1.1c) by the internal energy equation (small parameter to augment viscosity and thermal conductivity);
- •
truncating the singular pressure (truncation parameter ).
In Section 4, we establish uniform bounds on the family of approximate solutions noting that their existence can be shown in a manner similar to [14]. This amounts to deriving the associated entropy balance, the validity of which can be seen as an admissibility condition imposed on the class of weak solutions. In Section 5, we perform the limit in the Galerkin approximation. At this level, the internal energy equation is replaced by the total energy balance, and the system is augmented by the entropy inequality. In Section 6, we derive the pressure estimates based on the application of the so–called Bogovskii operator and then relax the truncation. As a result, the density here and hereafter is bounded above by . In Section 7, we perform the vanishing viscosity limit in the equation of continuity. This a delicate but nowadays rather well understood process, where Lions’ method [13] based on compactness of the effective viscous flux is combined with the commutator technique introduced in [6]. Finally, in Section 8, we remove the regularizing terms depending on a small parameter . In particular, we perform in full generality the estimates leading to the crucial bound (1.9). The paper is concluded by a short discussion in Section 9.
2 Main result
We introduce the principal hypotheses on the data and state our main result. Here and hereafter, we use the symbol
[TABLE]
For , we denote its integral mean by
[TABLE]
We also use the symbol to denote a generic positive constant depending only on the data (domain, boundary conditions, constitutive relations). When there is no confusion, we will use simply the notation instead of where is a functional space and a vectorial space.
2.1 Constitutive equations, external forces
The given external fields , , satisfy the following assumptions:
[TABLE]
We consider the pressure in the following form: there exists a constant such that
[TABLE]
In accordance with Gibbs’ relation (1.2), the internal energy is taken in the form:
[TABLE]
The transport coefficients , and are continuously differentiable functions of the temperature satisfying
[TABLE]
The boundary condition (1.5a) are determined via a field satisfying
[TABLE]
2.2 Weak formulation
Let be such that and denote by , . Let be the entropy derived from (2.3), (2.4) via Gibbs’ relation (1.2), leading to
[TABLE]
The weak formulation of the Navier–Stokes–Fourier system (1.1), with the boundary conditions (1.5a) and (1.5b) reads:
- •
Equation of continuity
[TABLE]
- •
Momentum balance
[TABLE]
- •
Total energy balance
[TABLE]
for any . Notice that the total energy balance is obtained by multiplying (1.1b) and (1.1c) by and , respectively.
- •
Entropy inequality
[TABLE]
for any satisfying .
2.3 Existence of weak solutions
We are ready to state our main result on the existence of weak solutions to the Navier–Stokes–Fourier system.
Theorem 2.1**.**
Let be a bounded domain of class . Let the data , , , and satisfy the hypotheses (2.2) and (2.6). Let the pressure and the internal energy satisfy (2.3) and (2.4). Let the transport coefficients , , and be continuously differentiable functions of satisfying (2.5), with
[TABLE]
Then for any , the Navier–Stokes–Fourier system (2.8)–(2.11) admits a solution satisfying
[TABLE]
The solution belongs to the class:
[TABLE]
The rest of the paper is devoted to the proof of Theorem 2.1.
3 Approximate system
Let us define the following cut–off function:
[TABLE]
The solutions will be obtained through a multi–level approximate system including regularization of various types:
[TABLE]
for any , ;
[TABLE]
with
[TABLE]
Furthermore, we have
[TABLE]
There are four parameters: the dimension on the Galerkin approximation space , the artificial viscosity (mass transport) coefficient , the truncation parameter , and perturbations by regularizing terms depending on .
The specific form of the convective term in (3.1b) is borrowed form Novotný and Pokorný [14]. Moreover, using the same method as in [14] we can show that the approximate system (3.1)–(3.3) admits regular (strong) solution whenever
[TABLE]
and also
[TABLE]
Moreover there exist and (depending on , , and ) such that
[TABLE]
see [4], and [8] for details. The truncated pressure is defined as
[TABLE]
Accordingly, we may define the entropy by the following identity
[TABLE]
such that the following Gibbs’ relation is satisfied
[TABLE]
4 Uniform bounds on approximate solutions
Our goal is to establish uniform bounds for the approximate solutions solving (3.1)–(3.3).
4.1 Entropy equation
As , the internal energy balance (3.2a) divided on reads:
[TABLE]
in other words, we have
[TABLE]
In view of hypothesis (3.9), the relation (4.1) can be written in the following form:
[TABLE]
Finally, by using (3.1a), we may conclude
[TABLE]
The desired uniform bounds follow by integrating (4.3) over , we get
[TABLE]
Furthermore, using Gibbs’ relation (3.9) and the boundary condition , we find
[TABLE]
Consequently, relation (4.4) gives rise to
[TABLE]
Thus, using the specific form (3.8) of the pressure and energy truncations, we may infer that
[TABLE]
Note that, in accordance with (3.9), the entropy reads
[TABLE]
We determine now some uniform bounds based on the entropy. First observe that
[TABLE]
Returning to (4.6), we may deduce that
[TABLE]
where the constant is independent of the parameters , , , and . Notice that
[TABLE]
4.2 Trudinger–Moser inequality
In this section, we derive rather strong bounds on the temperature based on the Trudinger–Moser inequality.
4.2.1 Bounds on the temperature gradient
Integrating (3.2a) over and using (3.4) and (2.2), we find
[TABLE]
Next, taking as a test function in the momentum equation (3.1b), we get
[TABLE]
and, consequently, we have
[TABLE]
Our goal is to show that all the integrals on the right–hand side of (4.9) can be controlled by for some and . Let us first observe that
[TABLE]
Then the Korn’s inequality leads to
[TABLE]
and the Poincaré’s inequality gives
[TABLE]
Consequently, there is such that
[TABLE]
whence
[TABLE]
On the other hand, the entropy estimates (4.8) together with hypothesis (3.6) yield to
[TABLE]
According to Hölder’s inequality, we obatin
[TABLE]
Combining (4.12) and (4.14), we get
[TABLE]
Similarly, we deduce
[TABLE]
Finally, using once again the entropy bound (4.8) as well as (4.13), the last integral in (4.9) can be controlled as follows:
[TABLE]
Summing up (4.9)–(4.17), we obtain
[TABLE]
Seeing that
- •
In accordance with hypothesis (3.5b) and the entropy estimates (4.8), we get
[TABLE]
- •
The Poincare’s inequality leads to
[TABLE]
- •
The Sobolev embedding gives
[TABLE]
- •
It comes from (4.8) and (4.18) that
[TABLE]
4.2.2 Estimates of near absolute zero
We apply the Trudinger–Moser inequality, more specifically the Sobolev embedding
[TABLE]
where is the Orlicz space with the generating function , see e.g. Adams [1, Chap. 8 ]. In particular,
[TABLE]
where is the associated Luxemburg norm. In particular,
[TABLE]
In view of the bounds established in (4.19), we may apply (4.20) to which leads to
[TABLE]
and it follows that
[TABLE]
Putting together (4.8), (4.19) and (4.22), the following uniform bounds for the approximate solutions depending only on the parameter is obtained:
[TABLE]
In addition, we record the bounds on the density can be deduced from the entropy bounds (4.8), the standard elliptic estimates applied to the approximate equation of continuity (3.1a) that depend on and the fact that is bounded in , namely we have
[TABLE]
5 Limit
Keeping , , fixed, we perform the limit . Let be a sequence of solutions to (3.1)–(3.3). In view of the uniform estimates summarized in (4.23) and (4.24) and passing to the subsequences, if necessary, we find
[TABLE]
as .
5.1 Equation of continuity
According to (5.1) and some standard compactness arguments for Sobolev spaces, we easily deduce
[TABLE]
As uniform bounds on the velocity gradient are no longer available, the limit density may vanish at certain point of .
5.2 Momentum balance
Using similar arguments as above, we perform the limit in the momentum equation (3.1b), we find
[TABLE]
for any , , , . Notice that the relation (5.3) is first obtained for any , fixed and then it is extended to all by using a density argument.
5.3 Total energy balance
The arguments giving rise to the total energy balance are much more delicate. The first step consists to pass to the weak formulation of the internal energy equation (3.2a) and (3.2b) to get
[TABLE]
for any . Then is used as a test function in the approximate momentum equation (3.1b) giving
[TABLE]
Taking the sum of (5.5) with (5.4) in the case where , we obtain
[TABLE]
Letting we may therefore infer that
[TABLE]
We consider now the internal energy (5.4) and we assume that the test function with , we find
[TABLE]
Letting and using the weak lower semi–continuity of convex functions, we obtain
[TABLE]
for any , . In particular, we have
[TABLE]
The bound (5.8) allows us to consider the momentum balance (5.3) with the test function
[TABLE]
yielding to the following identity:
[TABLE]
Thus taking and using (5.7), we get
[TABLE]
for any with . Let us consider now . Taking as a test function in (5.9), we obtain
[TABLE]
However, by virtue of (5.6), the sum of the integrals on the right–hand side of (5.10) that do not contain vanishes. Consequently, (5.10) is reduced to (5.9) with the opposite inequality. Therefore, we conclude (5.9) holds as an equality, namely we have
[TABLE]
for any . The integral equality (5.11) represents a weak formulation of the total energy balance. Note that for , the momentum equation (5.3) can used to eliminate the integrals containing which gives
[TABLE]
for any . Note that (5.12) can be formally interpreted as the energy equation, namely we have
[TABLE]
5.4 Entropy inequality
We conclude the limit passage by reporting the entropy inequality:
[TABLE]
for any , , that can be easily deduced from (4.3) as well as the convergence in (5.1).
6 Limit
Our next goal is to let the truncation parameter and thus to establish some uniform estimates on the density. Let be the associated sequence of solutions to the problem (5.2), (5.3), (5.11), satisfying also the entropy inequality (5.14). For fixed values of the parameters and , the estimates (4.23) and (4.24) remain valid. Then passing to the subsequences, if necessary, we find
[TABLE]
as . Moreover, we assume that
[TABLE]
6.1 Pressure estimates
We derive bounds on the pressure , uniform for . To this end, we introduce an inverse operator to constructed by Bogovskii [2]. The following properties of are nowadays rather standard, we refer to the monograph by Galdi [9] for the proofs.
- •
The operator satisfies
[TABLE]
- •
can be extended to functions ,
[TABLE]
- •
If , , , such that , then
[TABLE]
The first step is to consider
[TABLE]
as a test function in the approximate momentum equation (5.3), we get
[TABLE]
Observe that
[TABLE]
In virtue of the construction of the truncation specified in (3.8) and (6.2), we have
[TABLE]
Notice that
[TABLE]
which implies that
[TABLE]
Consequently, we may rewrite inequality (6.5) in the following form
[TABLE]
Keeping in mind the uniform bounds in (6.1), it is easy to control the integrals on the right–hand side of (6.6) by those on the left–hand side. Indeed, in view of the properties of the operator listed in (6.3) and (6.4), we have
[TABLE]
Consequently, in view of the uniform bounds (6.1), we deduce from (6.6) that the integrals on the left–hand side are bounded uniformly for , which implies that
[TABLE]
From (6.1) we may deduce that is controlled by . By considering two cases: and , respectively, with small enough, we finally get
[TABLE]
The second step consists to repeat the same procedure with
[TABLE]
Similarly using (6.7), we deduce that
[TABLE]
Once again using the bounds (6.1) combined with the properties of the operator , we may infer that all integrals on the right–hand side of (6.8) can be controlled, modulo a multiplicative constant, by the following norm
[TABLE]
Thus for , we may conclude that
[TABLE]
and, consequently, we get
[TABLE]
Finally, writing
[TABLE]
we also obtain
[TABLE]
6.2 Convergence and the limit system
With (6.1), (6.9) and (6.10) at hand, it is standard to perform the limit for in the system of approximate equations. Moreover, as the limit pressure is singular at (see hypothesis (2.3)), we deduce from (6.10) that
[TABLE]
cf. also [4]. Accordingly, the limit system of equations reads as follows:
[TABLE]
for any , . Notice that , and
[TABLE]
for any ; together with the entropy inequality
[TABLE]
for any , .
7 Limit
The process is crucial as it requires strong convergence of the approximate densities. We use the approach proposed by Lions in [13], based on the monotonicity of the pressure, combined with the Commutator Lemma, introduced in [6], to handle the temperature fluctuations of the viscosity coefficients. Keeping fixed, we consider a family of solutions of the approximate system (6.12a–6.14). Given the available dependent estimates derived in the preceding part, passing to the subsequences, if necessary, we find
[TABLE]
as . Moreover, as a consequence of (6.11), we have
[TABLE]
7.1 Strong convergence of approximate densities
Our goal is to show, up to a suitable subsequence,
[TABLE]
The proof is based on monotonicity of the pressure in the density variable, cf. hypothesis (2.3). Similarly to [4], we show that
[TABLE]
where the bar is used to denote a weak limit of the corresponding composition. In view of the strong convergence of the temperature in (7.1), relation (7.4) gives rise to
[TABLE]
but since almost everywhere in , this yields
[TABLE]
The function being (strictly) increasing, cf. (2.3), this implies (7.3), exactly as in [4].
Following the approach of Lions [13], we derive (7.4) from the effective viscous flux identity. To this end, we first perform the limit in the momentum equation (6.12b):
[TABLE]
for any , , , . Note that thanks to the strong convergence of the approximate temperatures.
Now, we repeat the same process with the test function
[TABLE]
and is the inverse of the Laplace operator defined by means of the Green function on . Plugging in (6.12b), peforming the limit and regrouping terms in the limit expression, we find
[TABLE]
Note that, thanks to the regularizing properties of the operator , we have
[TABLE]
Finally, we use the quantity
[TABLE]
as a test function in the limit equation (7.5), we get
[TABLE]
Now, we compare the terms on the right–hand sides of (7.6), (7.8). As the velocity converges strongly, we have
[TABLE]
Next, we observe, exactly as in [4] that
[TABLE]
To this end, we use Div–Curl Lemma (see Tartar [19]), we get
[TABLE]
and
[TABLE]
Now, we take in the entropy inequality (6.14), we find
[TABLE]
In particular, we deduce
[TABLE]
We may deduce from (3.1a) and (7.11) that in then belongs to a compact set in . Thus relation (7.9) follows directly from Div–Curl Lemma.
Comparing (7.6) and (7.8), we obtain
[TABLE]
that can be simplified via (7.7) to
[TABLE]
Our plan consists in replacing by in the identity (7.12) where is a polynomial increasing function. To this end, write
[TABLE]
The expression in the curly brackets is a commutator of the pseudo–differential operator with multiplication by a function of . It enjoys extra compactness properties exploited in [6]. We report the following result that can be see as a version of the abstract results of Coifman and Meyer [5]:
Lemma 7.1** (Commutator Lemma).**
Let and be given fields,
[TABLE]
Then for any satisfying
[TABLE]
there exists such that
[TABLE]
We apply Lemma 7.1 to
[TABLE]
and we deduce the strong convergence of the commutator in -norm. Accordingly, we may deduce from (7.12) the desired relation:
[TABLE]
Relation (7.13) is called Lions’ identity. One can deduce (7.4), and, consequently, the strong convergence of the approximate densities from (7.13). The details of this procedure are detailed in [4].
7.2 Convergence and the limit system
Once strong convergence of the densities has been established, it is straightforward to pass to the limit in the approximate equations. Note that is bounded in the -norm uniformly for . Consequently, letting in (6.12)–(6.14), we obtain
[TABLE]
for any , . Since , , we have
[TABLE]
for any ; and the entropy inequality
[TABLE]
for any , .
8 Limit
Our ultimate goal is to perform the limit recovering the weak formulation of the original problem. This can be done in a similar way as in the preceding section, however, we must establish the necessary uniform bound independent of . As the bounds based on the entropy inequality (4.8) hold uniformly for , we must only establish the bounds on the temperature similar to those obtained in Section 4.2.
8.1 Uniform bounds
Let be a sequence of approximate solutions solving (7.14)–(7.16). Taking as a test function in the total energy balance (7.15), similarly to Section 4.2, we obtain
[TABLE]
Moreover, the equation of continuity (7.14a) can be used to rewrite the convective term, we get
[TABLE]
Next, taking in the entropy inequality (7.16), we find
[TABLE]
Our goal, similarly to Section 4.2, is to control all integrals on the right–hand side of (8.1) by means of a suitable norm of . First observe that, by virtue of (4.10) and (4.11), we obtain
[TABLE]
for some , . Note that according to the entropy estimates (8.2), the norm is bounded in the -norm. Next, we handle the integral
[TABLE]
where we focus on the case in (1.8) as otherwise the estimates would be the same as in Section 4.2. In view of the entropy estimates (8.2), we have
[TABLE]
Consequently, by interpolation, we get
[TABLE]
for some as soon as . Thus we may infer that
[TABLE]
Finally, we have to estimate the integral
[TABLE]
Furthermore, we may notice that
[TABLE]
Next, we use (8.4) and proceed exactly as in Section 4.2 to conclude
[TABLE]
Summing up (8.1), (8.3), (8.5) and (8.6) to get
[TABLE]
for some finite .
At this stage, we need the following extension lemma proved in [4, Lemma A1].
Lemma 8.1**.**
Let be a bounded Lipschitz domain. Let , , be given such that . Let be given such that if and arbitrary finite otherwise. Then for any , there exists with the following properties:
- •
**
- •
,
- •
,
- •
**
The idea is to replace by in the energy balance (7.15), and, subsequently in (8.7), to make the coefficient multiplying the highest power of the norm of small enough. Then the uniform bound on is obtained from (8.2) and (8.7) via a compactness argument. To carry out this program, some preliminaries are necessary. The first may be seen as a direct consequence of the Sobolev embedding already used in Section 4.2.
Lemma 8.2**.**
Let be a bounded Lipschitz domain. There exists a function
[TABLE]
with the following property: If a.e in and there exist such that
[TABLE]
then
[TABLE]
Next, we show the following:
Lemma 8.3**.**
Let be a bounded Lipschitz domain. Let , , , , and be such that
[TABLE]
where is the function identified in Lemma 8.2. Then there exists such that
[TABLE]
for any , almost everywhere in satisfying
[TABLE]
Proof.
Arguing by contradiction, we suppose that there is a sequence such that
[TABLE]
Consider the normalized sequence
[TABLE]
We have
[TABLE]
It follows from Lemma 8.2 that
[TABLE]
Dividing (8.8c) on , we obtain
[TABLE]
which is a contradiction. ∎
We apply Lemmas 8.2 and 8.3 to , determined by means of the entropy estimates (8.2), and , , as in (8.7). In accordance with Lemma 8.1, we fix so that
[TABLE]
in (8.7). In accordance with Lemma 8.3, we conclude that
[TABLE]
which implies that
[TABLE]
8.2 Convergence
At this stage, the same machinery used in Section 4.2 allows us to conclude that
[TABLE]
The uniform bounds (8.10), together with
[TABLE]
are strong enough to perform the limit passage in the equations by using the same arguments as in Section 7. We have completed the proof of Theorem 2.1.
9 Concluding remarks
We have considered the EOS of the form
[TABLE]
In view of the fact that the density is a priori bounded and the rather strong estimates on the temperature, the result may be extended to more general pressure law including finite ”virial series perturbation” of the form
[TABLE]
Monotonicity of the pressure with respect to the density plays a crucial for stationary problems therefore the method cannot be adapted to pressure laws that are non–monotone with respect to the density.
The asymptotic behavior of the transport coefficients could be possibly relaxed to
[TABLE]
In view of the estimates in Section 7, however, the sublinear growth seems essential.
The proof depends heavily on the estimates (1.9) pertinent to planar domains. Extension to the 3-D case would be definitely limited by the available a priori bounds on the temperature and possibly require stronger hypothesis imposed on both the EOS and the transport coefficients.
Acknowledgments
The research of E.F. leading to these results has received funding from the Czech Sciences Foundation (GAČR), Grant Agreement 18–05974S. The Institute of Mathematics of the Academy of Sciences of the Czech Republic is supported by RVO:67985840. This research was performed during the stay of E.F. as an invited professor at the INSA–Lyon.
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