The present paper is devoted to the study of a zero-Mach number system with heat conduction but no viscosity. We work in the framework of general non-homogeneous Besov spaces , with and for any , which can be embedded into the class of globally Lipschitz functions.
We prove a local in time well-posedness result in these classes and we are also able to show a continuation criterion and a lower bound for the lifespan of the solutions.
The proof of the results relies on Littlewood–Paley decomposition and paradifferential calculus, and on refined commutator estimates in Chemin–Lerner spaces.
The free evolution of a compressible, effectively heat-conducting but inviscid fluid obeys the following equations:
where stands for the mass density, for the velocity field and for the internal energy per unit mass. The time variable t belongs to or to and the space variable x is in with . The scalar functions and denote the pressure and temperature respectively. The positive heat-conducting coefficient is supposed to be smooth in both its variables.
We supplement System (1) with the following two state equations:
where R, denote the ideal gas constant and the specific heat capacity at constant volume, respectively. That is, we restrict ourselves to (so-called) ideal gases model.
In this paper, we will consider highly subsonic ideal gases strictly away from vacuum, and correspondingly, we will work with the inviscid zero-Mach number system (see (3) or (7) below) which derives from System (1) by letting the Mach number go to zero. For completeness, in the following we derive the zero-Mach number system formally.
Just as in [13], suppose to be a solution of System (1) and define the dimensionless Mach number ε to be the ratio of the velocity v by the reference sound speed. Then the rescaled triplet
satisfies the following non-dimensional system
Here represents the adiabatic index and the constant denotes the specific heat capacity at constant pressure. The rescaled temperature and heat-conducting coefficient are given by
Now let ε go to 0, that is, the pressure equals to a positive constant by Eqs (2)2 and (2)3: thus System (2) becomes formally the following zero Mach number system immediately (see [2,20,24] for detailed computations):
where is a new unknown function.
Let us make reference to some results on the incompressible limit of Euler equations: namely, incompressible Euler equations can be viewed as compressible Euler equations when the Mach number tends to vanish. For the isentropic Euler system, there are many early works such as [14,17,18,22,23]. At the beginning of this century, [1,21] treated the non-isentropic case. Later Alazard [2] generalized the study to various models, which include the case of the low Mach number limit from System (1) to System (3).
Next, we will reformulate System (3) into a new system (see System (7) below) with a new divergence-free velocity field. We will mainly deal with this new system in this paper. Before going into details, let us suppose here that the density ρ always has positive lower bound and converges to some constant (say “1”) at infinity, in the sense detailed below (see (15)). We also mention that in the following, the fact that is a positive constant will be used thoroughly.
Similarly as in [13], for notational simplicity, we set α to be the positive constant defined by
Then we define the following two coefficients, depending smoothly only on ρ:
One furthermore introduces two scalar functions and , such that
We then define the new “velocity” u and the new “pressure” π respectively as
Then System (3) finally becomes
where κ, b, λ are defined above (see (4) and (5)) and
Let us just verify Eq. (7)2. Observe that (3)2 gives
It is easy to find that
Thus by view of Eq. (3)1, Eq. (9) can be rewritten as
We thus multiply (10) by to get Eq. (7)2.
In System (7), although the “velocity” u is divergence-free, one encounters a (quasilinear) parabolic equation for the density ρ and the “source” term h involves two derivatives of ρ. Note that if simply , then and hence System (7) becomes the so-called density-dependent Euler equations
In the above (11), due to the null heat conduction, ρ satisfies a transport equation, h vanishes and the velocity v itself is solenoidal. As early as in 1980, Beirão da Veiga and Valli [7,8] investigated (11). We also cite the book [3] as a good survey of the boundary-value problems for nonhomogeneous fluids. By use of an energy identity, Danchin [11] studied System (11) in the framework of nonhomogeneous Besov space which can be embedded in . Recently in [12], Danchin and the first author treated the end point case , and studied the lifespan of the solutions in the case of space dimension .
If the fluid is viscous, that is to say there is an additional viscous stress tensor within the momentum equation (3)2, then System (3) becomes the low Mach number limit system of the full Navier–Stokes system. See [2,13,19] and references therein for some relevant results.
However, to our knowledge, there are few well-posedness results for the inviscid low Mach-number limit system (3). Notice that System (3) can also be viewed as a nonhomogeneous system in the presence of diffusion, which describes an inviscid fluid consisting of two components (say, water and salt), both incompressible, with mass diffusion effect between them (the so-called Fick’s law):
In this case, ρ, u and v are considered to be the mean density, the mean-volume velocity and the mean-mass velocity of the mixture respectively, κ denotes the positive diffusion coefficient, and , as usual, denotes some unknown pressure. For more physical backgrounds of this model, see [16]. One can also refer to Beirão da Veiga et al. [6] for an existence-uniqueness result of classical solutions.
In this paper, we will study the well-posedness of the Cauchy problem for System (3) in the framework of general Besov spaces (with and in any space dimension ) which can be embedded into the class of globally Lipschitz functions.
Similarly as in [11,12], the analysis will be based on an intensive use of the para-differential calculus and some (newly developed) commutator estimates.
Moreover, refined a priori estimates lead us to state a continuation criterion (in the same spirit of the well-known result of [5] for the homogeneous incompressible Euler equations), and to find a lower bound for the lifespan of the solutions in terms of the initial data only.
We refer to Section 2 for more details on our working hypothesis and discussions on the obtained results. Let us just say here that the restriction , which is due to the analysis of the pressure term , can be somehow relaxed. For instance, for finite-energy initial data , well-posedness for system (7) can be recovered for any . We refer to [15] for an analysis in this direction: the endpoint case is permitted there and in dimension the lower bound for the lifespan is refined showing that the solutions tend to be globally defined for initial densities which are small perturbations of a constant state.
Our paper is organized in the following way.
In the next section we will present our main local-in-time well-posedness result Theorem 2.1. We will also state a continuation criterion and a lower bound for the lifespan in Theorems 2.4 and 2.5, respectively.
Section 3 is devoted to the tools from Fourier analysis.
In Section 4 we will tackle the proof of Theorem 2.1: we will first give some fundamental commutator estimates (see Lemma 4.1) and product estimates (Lemma 4.3) in the time-dependent Besov spaces.
Section 5 is devoted to the proof of Theorem 2.4 and Theorem 2.5.
Finally, in the Appendix we will give the complete proof of Lemma 4.1.
Main results
Let us focus on System (7) to introduce our main results. In view of Eq. (7)1, of parabolic type, by maximum principle we can assume that the density ρ (if it exists on the time interval ) has the same positive upper and lower bounds as the initial density :
Correspondingly, the coefficients κ and λ can always be bounded from above and below, which ensures that the pressure π satisfies an elliptic equation in divergence form: applying operator “” to Eq. (7)2 gives the following
For system (7) there is no gain of regularity for the velocity u: we then suppose the initial divergence-free “velocity” field to belong to some space which can be continuously embedded in , i.e. the triplet has to satisfy the following condition:
This requires the “source” term h to belong to which, by view of definition (8) of h, asks at least . Keeping in mind that ρ satisfies the parabolic type equation, we expect to gain two orders of regularity (in space) when taking the average in time. We thus have to assume the initial inhomogeneity to be in the same space as above. However, in general, we only get in the time-dependent Besov space , which is a little bit larger than (see Definition 3.2). Therefore in the whole paper we will deal rather with the spaces and (first introduce in [10] by Chemin and Lerner); in particular, in Section 4 we will give some commutator estimates and product estimates in these time-dependent Besov spaces, which imply a priori estimates for System (7).
On the other hand, in order to control the low frequencies for , one has to make sure that . Indeed, for Eq. (12) above, the a priori estimate
holds independently of λ only when (see Lemma 2 of [11]). Hence the fact that h is composed of quadratic forms entails that p has to verify
To conclude, we have the following theorem, whose proof will be shown in Section 4.
Let the tripletsatisfy Conditions (13) and (14). Let us take an initial density stateand an initial velocity fieldsuch thatfor some positive constants,and M. Then there exist a positive time T (depending only on ,, M, d, s, p, r) and a unique solution to System (7) such thatbelongs to the space, defined as the set of triplet such thatwithif(see also Definition 3.2).
Let us state briefly here the corresponding well-posedness result for the original system (3). By view of the change of variables (6), we have , , where denotes the Leray projector over divergence-free vector fields and : . Assume Conditions (13) and (14), and the initial datum such that
Then, there exist a positive time T and a unique solution to System (3) such that
with if .
One notices from above that the initial velocity needs not to be in whereas the velocity will belong to it for almost every . On the other side, this local existence result would hold if, initially, , , and .
Let us also point out that since in general, we do not know whether (recall also definition (6)). Hence it seems not convenient to deal with System (3) directly since the low frequencies of can not be controlled a priori.
If we assume an additional smallness hypothesis over the initial inhomogeneity aside from (15), which ensures that the pressure satisfies a Laplace equation (up to a perturbation term), then Condition (14) imposed on p is not necessary. Theorem 2.1 still holds true, except for the fact .
Next, one can get a Beale–Kato–Majda type continuation criterion (see [5] for the original version) for solutions to System (7). Notice that, according to the solutions space defined by (16), in order to bound the -norm of the nonlinear terms in h and , one requires , , etc. Hence, by a refined a priori estimate (see Section 5.1) we get the following statement.
(Continuation criterion).
Let the tripletsatisfy Conditions (13) and (14). Let be a solution of (7) onsuch that:and, for some ,Thencould be continued beyond T (if T is finite) into a solution of (7) with the same regularity.
Even in the two-dimensional case, it is hard to expect global-in-time well-posedness for this system: the parabolic equation (7)1 allows to improve regularity for the density term, but such a gain is (roughly speaking) deleted by the nonlinear term in the momentum equation (7)2. However, similar as in [12], we manage to establish an explicit lower bound for the lifespan of the solution, in any dimension . The proof will be the matter of Section 5.2.
Under the hypotheses of Theorem2.1, there exist positive constants L,(depending only on d, p, r,and) such that the lifespan of the solution to System (7) given by Theorem2.1is bounded from below by the quantity
Thanks to Theorem 2.4, the lifespan is independent of the regularity. Therefore, the -norm in (17) can be replaced by the (weaker) norm.
We change the word here that in the sequel, C always denotes some “harmless” constant (may vary from time to time) depending only on d, s, p, r, , , unless otherwise defined. Notation means and says A equals to B, up to a constant factor. For notational convenience, the notation ϱ always represent , unless otherwise specified.
An overview on Fourier analysis techniques
Our results mostly rely on Fourier analysis methods which are based on a nonhomogeneous dyadic partition of unity with respect to Fourier variable, the so-called Littlewood–Paley decomposition. Unless otherwise specified, all the results which are presented in this section are proved in [4], Chapter 2.
In order to define a Littlewood–Paley decomposition, fix a smooth radial function χ supported in (say) the ball , equals to 1 in a neighborhood of and such that χ is nonincreasing over . Set . The dyadic blocks are defined by1
Throughout we agree that stands for the pseudo-differential operator .
We also introduce the following low frequency cut-off:
One can now define what a Besov space is.
Let u be a tempered distribution, s a real number, and . We set
We then define the space as the subset of distributions such that is finite.
When solving evolutionary PDEs, it is natural to use spaces of type with X denoting some Banach space. In our case, X will be a Besov space so that we will have to localize the equations by Littlewood–Paley decomposition. This will provide us with estimates of the Lebesgue norm of each dyadic block before performing integration in time. This leads to the following definition for the so-called Chemin–Lerner Spaces, introduced for the first time in paper [10].
For , and , we set
We also set .
From the above definition, it is easy to see for all and under the hypothesis (13). More generally, one has the continuous embedding and a time-dependent version
The following fundamental lemma (referred in what follows as Bernstein’s inequalities) describes the way derivatives act on spectrally localized functions.
Let. There exists a constant C such that, for any ,,withand any function u of, one has
Lemma 3.4 implies the following embedding result immediately, as a generalization of Remark 3.3.
Spaceis continuously embedded in Spacewheneverand
Let us now recall the so-called Bony’s decomposition introduced in [9] for the products. Formally, any product of two tempered distributions u and v, may be decomposed into
with
The above operator T is called “paraproduct” operator whereas R is called “remainder” operator.
We have the following classical estimates in Besov spaces for the products.
Let,with.
For the paraproduct one has
For the remainder, if , then
If, one has the following product estimate
One also needs the following commutator estimate for the transport terms in the equations (see Lemma 2.100 in [4] for the reference).
Let,such thatif. Then we have
The following results pertain to the composition of functions in Besov spaces: they will be needed for estimating functions depending on the density. We refer to Chapter 2 of [4] and to [11] for their proofs.
Let I be an open interval ofanda smooth function. Then for any compact subset ,,and any functionvalued in J, we have If furthermore, then .
Finally, we shall make an extensive use of energy estimates (see [11] for the proof) for the following elliptic equation satisfied by the pressure Π:
For all vector field F with coefficients in, there exists a tempered distribution Π, unique up to constant functions, such that
Proof of the local well-posedness
In this section we aim to prove the well-posedness result Theorem 2.1 for System (7). The a priori estimates we will establish in Section 4.1 will be the basis throughout the following context.
Linearized equations
In this subsection we will build a priori estimates for the linearized equations associated to System (7). Firstly, one gives some commutator and product estimates in the time-dependent Besov spaces, which entails the a priori estimate for the density immediately.
Let,,.
If, then
Ifandthen for any, one has
The proof of (19) is classical while the proof of (20) can be found in the Appendix. Let’s just give a remark which will be used for estimating the density.
Next lemma is in the same spirit of (20), by view of Proposition 3.6 which gives estimates for the product of two functions. The proof is quite similar (and easier) and hence omitted.
Let,,,, such that with. Then the following holds:
Let us come to the linearized density equation
for which one has the following a priori estimate.
Let the tripleverifyLet u, κ, f be smooth such that ,,and. Then there exists a positive constant (depending only on , d, s, p, r) such that, for every smooth solution ϱ of (21), the following estimate holds true for every :where we have definedandor
The proof is quite standard (see e.g. the proof of Proposition 4.1 in [13]): we apply the operator to the equation, we integrate first in space and then in time; then we use the commutator estimates and Gronwall’s inequality to get the result. Let’s just sketch the proof.
Applying to Eq. (21) yields
where we have set , , and .
Hence one has
thanks to the following Bernstein type inequality (see e.g. Appendix B of [11])
Since the equality in the above holds also for , the following holds:
The low-frequency term can be easily bounded in :
One applies Proposition 3.7 on the first commutator term and Remark 4.2 on the second commutator term. Finally performing Gronwall’s inequality on (24) gives the conclusion.
Let us point out here that in the process of proving the uniqueness of the solutions to System (7), there is one derivative loss for the difference of two solutions. We therefore have to look for a priori estimates for the unknowns in , under a weaker condition (22) on the indices (instead of (13)).
The linearized equation for the velocity reads
where the initial datum , the transport vector field w, the coefficient λ and the source term h are all smooth and decrease rapidly at infinity, such that . We have the following a priori estimate.
LetThen the following estimates hold true:whereis a positive time-dependent function, depending only on d, p, s, r,,, with
The proof is similar as in [11] and let us also just sketch it.
Firstly, Proposition 3.7 entails the following estimate for u:
By product estimates in Proposition 3.6, we have (noticing )
Thanks to , π satisfies the following elliptic equation:
Similar as to get (24), one finds
To bound the above commutator term, one applies Proposition 3.7 to it; then one uses the following interpolation inequality (with some )
finally one has
Therefore, thanks to and Lemma 3.9, it rests to dealing with
For , , we can easily find that
On the other hand, it is easy to decompose into
which can be controlled, according to Proposition 3.6, by .
To conclude, Estimate (28) holds, and so does estimation (27), by view of (29) and Gronwall’s inequality.
Proof of the existence
In this subsection we will follow the standard procedure to prove the local existence of the solution to System (7): we construct a sequence of approximate solutions which have uniform bounds and then we prove the convergence to a unique solution. In particular, in order to bound the nonlinearities, the density should be small when integrated in time. Since we admit also large initial density , we will introduce the large linear part of the solution ρ, so that the remainder part is small and hence easier to handle. In the convergence part, we will first show convergence in a space with lower regularity (i.e. in space , see (16)) and then the solution is in by Fatou’s property.
We will freely use the following estimates (by Propositions 3.6 and 3.8):
and their time-dependent version
Step 1 – Construction of a sequence of approximate solutions
In this step, we take such that Conditions (13) and (14) hold true. Let us introduce the approximate solution sequence by induction.
Without loss of generality we can assume
then, first of all we set , which are smooth and fast decaying at infinity.
Now, we assume by induction that the triplet of smooth and fast decaying functions has been constructed. Besides, let us suppose also that there exists a sufficiently small parameter τ (to be determined later), a positive time (which may depend on τ) and a positive constant (which may depend on M) such that
Remark that the above estimates (32) and (33) obviously hold true for , if is assumed to be small enough.
Now we define as the unique smooth global solution of the linear system
where we have set , , , and
We want to show that also the triplet verifies (32) and (33).
First of all, we apply the maximum principle to the linear parabolic equation for , yielding . Now, we introduce as the solution of the heat equation with the initial datum :
Then, for any positive time , there exists some constant depending on T such that
Furthermore, given , we can choose such that one has
Indeed, by definition we have
The operator belongs to : more precisely,
Then, for some fixed N large enough, we infer
From this, by decomposing into low frequencies (large part) and high frequencies (small part) and choosing small enough, one gathers . The term can be handled in the same way or by interpolation inequality. Hence, our claim (37) is proved.
Now we define the sequence : it also solves the free heat equation, but with initial data . Hence, it also satisfies (36) and (37).
We next consider the small remainder . We claim that it fulfills, for all ,
In fact, solves
So, if we define
by Proposition 4.4 we infer that
Inductive assumptions and estimate (37) for help to bound the right-hand side in the above relation by . Therefore, (38) is proved, and hence (32) holds for , for sufficiently small τ.
We now want to get (33), relying mainly on Proposition 4.6. In fact, product estimates (31) and the embedding result in Remark 3.3 entail (noticing also )
Thus, applying Proposition 4.6 to system (34) implies
Hence (33) also holds true for small τ and .
Step 2 – Convergence of the sequence
In this step we will consider the “difference” sequence
in the Banach space (recall (16) for its definition).
Next we apply a priori estimates given by Propositions 4.4 and 4.6, with , and , to and respectively. The use of inductive assumptions gives us
Next we use the following fact, coming from Proposition 3.8: for f smooth, ,
Therefore, one easily gets
Plugging the uniform estimate (32) into (41) to get bounds on (which appears in ) and then relation (42) becomes
Let us now define
then, from previous inequalities we gather
with . Noticing
it follows uniformly in . Hence, we gather that the sequence is a Cauchy sequence in the functional space . Then, it converges to some , which actually belongs to the space by Fatou property. Hence, by interpolation, the convergence holds true in any intermediate space between and , and this is enough to pass to the limit in our equations. Thus, is actually a solution of System (7).
The proof of uniqueness is exactly analogous to the above convergence proof, and hence omitted.
Proof of Theorems 2.4 and 2.5
In this section we aim to get a continuation criterion and a lower bound of the lifespan for the local-in-time solutions given by Theorem 2.1. It is only a matter of repeating a priori estimates established previously, but in an “accurate” way (we use -norm instead of -norm) for obtaining the continuation criterion, whereas in a “rough” way (we use (47), (48)) for bounding the lifespan from below.
Proof of the continuation criterion
Theorem 2.4 actually issues easily from the following fundamental lemma.
Let,and. Letbe a solution of (7) oversuch that the hypotheses in Theorem2.4hold true. If T is finite, then one gets
In fact, to prove Theorem 2.4 from Lemma 5.1 is quite standard: once (43) and Conditions (13), (14) hold true, then there exists a positive time (thanks to Theorem 2.1) such that, for any , System (7) with initial data has a unique solution until the time . Thus, if we take, for instance, , then we get a solution until the time , which is, by uniqueness, the continuation of . Theorem 2.4 then follows.
Therefore, we focus only on Lemma 5.1: one uses -norm (instead of Besov norm) to establish a priori estimates.
Let us consider the density term. Our starting point is (21), with . One argues as in proving Proposition 4.4, but controls commutators and (see (23) for definition) by use of Commutator Estimates (19) and (20) (with ) instead. More precisely, keeping in mind that , we arrive at
Hence, (24) becomes
Let us now consider velocity field and pressure term: we use Lemma 4.1 to control the commutator and arrive at
Lemma 4.3 and Proposition 3.8 help us to control the non-linear term h (see (8) for the definition):
By decomposing λ into and , one has
One then uses (30) to bound : Lemma 4.3 helps to bound the nonlinear term by
Finally, Lemma 4.1 entails the control for the commutator term:
Hence, interpolation inequality for between and helps us to gather
In the end, we discover from (45) that satisfies also Inequality (46), just with an additional term on the right-hand side. Recalling Estimate (44) for the density, we can replace in Inequality (46) by the right-hand side of it.
Thus, we can sum up (44) and the (modified) estimate (46) for the velocity u, yielding Lemma 5.1 by Gronwall’s lemma.
Lower bounds for the lifespan of the solution
The aim of the present subsection is analyzing the lifespan of the solutions to System (7). We want to show, as carefully as possible, the dependence of the lifespan T on the initial data.
We will use freely the following inequalities:
and thanks to Conditions (13) and (14),
By embedding results, without any loss of generality, throughout this subsection we will always assume . For notation convenience, we define and ,
Then controls high regularity of the density.
From (44), we infer that
Now, if we define
by Gronwall’s lemma, for and for some large enough C, we get
Next we aim to bound U, just as in the last Section 5.1. Firstly, one applies the classical commutator estimates to the commutator to arrive at
Next, by using the interpolation inequality of between and , from estimate (30) for π one derives that, for some ,
Then, estimates (47) and (48) help to bound h, and as follows:
Now we use interpolation to write , and Young inequality to separate the term . Hence, from (51) and previous inequalities one infers that
Let us restrict now to the interval : from (50) and the previous estimate for U we get (possibly taking a bigger C)
Now we define
Then, for , we infer the estimate
Finally, by a bootstrap argument, it is easy to check that the time T, defined by (17) in Theorem 2.5, with sufficiently small L, is less than and . Hence Theorem 2.5 follows.
Footnotes
Acknowledgements
The main part of the work was prepared when F. Fanelli was a post-doc at BCAM – Basque Center for Applied Mathematics, and X. Liao was a Ph.D. student at LAMA – Laboratoire d’Analyse et de Mathématiques Appliquées, UMR 8050, Université Paris-Est. They want to acknowledge both these institutions.
F. Fanelli was partially supported by Grant MTM2011-29306-C02-00, MICINN, Spain, ERC Advanced Grant FP7-246775 NUMERIWAVES, ESF Research Networking Programme OPTPDE and Grant PI2010-04 of the Basque Government. During the last part of the work, he was also supported by the project “Instabilities in Hydrodynamics”, funded by the Paris city hall (program “Émergences”) and the Fondation Sciences Mathématiques de Paris. He is member of the Gruppo Nazionale per l’Analisi Matematica, la Probabilità e le loro Applicazioni (GNAMPA) of the Istituto Nazionale di Alta Matematica (INdAM).
Part of the job was done when X. Liao was post-doc in Mathematical Institute of Charles University in Prague and she appreciates the financial support by the project ERC-CZ LL1202 MORE, funded by the Ministry of Education, Youth and Sports of the Czech Republic.
Proof of Lemma 4.1
In the Appendix we will prove Estimate (20). The following classical properties will be used freely throughout this section:
First of all, let us recall an easy version of Young inequality:
We decompose the commutator by use of Bony’s paraproduct:
where, setting , we have defined
One finds easily
This ensures that
We apply Young inequality (A.1) to the integrand on the right-hand side to get, for some constant C:
Let us now handle
We just do exactly as above (the way to obtain (A.3)): if , then we have
Moreover, since
we can immediately see that (A.4) holds also for . Similarly, (A.4) follows immediately for
Finally, the last term
can be handled as , leading us to the same estimate as (A.3). To conclude, the estimates for complete the proof for (20).
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