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On the influence of gravity in the dynamics of geophysical flows

  • In the present paper, we study a multiscale limit for the barotropic Navier-Stokes system with Coriolis and gravitational forces, for vanishing values of the Mach, Rossby and Froude numbers (Ma, Ro and Fr, respectively). The focus here is on the effects of gravity: albeit remaining in a low stratification regime Ma/Fr0, we consider scaling for the Froude number which go beyond the "critical" value Fr=Ma. The rigorous derivation of suitable limiting systems for the various choices of the scaling is shown by means of a compensated compactness argument. Exploiting the precise structure of the gravitational force is the key to get the convergence.

    Citation: Daniele Del Santo, Francesco Fanelli, Gabriele Sbaiz, Aneta Wróblewska-Kamińska. On the influence of gravity in the dynamics of geophysical flows[J]. Mathematics in Engineering, 2023, 5(1): 1-33. doi: 10.3934/mine.2023008

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  • In the present paper, we study a multiscale limit for the barotropic Navier-Stokes system with Coriolis and gravitational forces, for vanishing values of the Mach, Rossby and Froude numbers (Ma, Ro and Fr, respectively). The focus here is on the effects of gravity: albeit remaining in a low stratification regime Ma/Fr0, we consider scaling for the Froude number which go beyond the "critical" value Fr=Ma. The rigorous derivation of suitable limiting systems for the various choices of the scaling is shown by means of a compensated compactness argument. Exploiting the precise structure of the gravitational force is the key to get the convergence.



    In this paper we continue the investigation we began in [7], about multiscale analysis of mathematical models for geophysical flows. Our focus here is on the effect of gravity in regimes of low stratification, but which go beyond a choice of the scaling that, in light of previous results, we call "critical".

    In order to explain better all this, let us introduce some physics about the problem we are interested in, and give an overview of related studies. We present in Section 2 the precise system we will work on, and the statements of our main results.

    By definition (see e.g., [6,28]), geophysical flows are flows whose dynamics is characterised by large time and space scales. Typical examples are currents in the atmosphere and the ocean, but of course there are many other cases where such fluids occur out of the Earth, like flows on stars or other celestial bodies.

    At those scales, the effects of the rotation of the ambient space (which in the previous examples is the Earth) are no more negligible, and the fluid motion undergoes the action of a strong Coriolis force. A simplistic assumption, which is however often adopted in physical and mathematical studies, consists in restricting the attention to flows at mid-latitudes, i.e. flows which take place far enough from the poles and the equatorial zone. Thus, if we denote by ϱ0 the density of the fluid and by uR3 its velocity field, the Coriolis force may be represented in the following form:

    C(ϱ,u):=1Roe3×ϱu, (1.1)

    where e3=(0,0,1), the symbol × denotes the classical external product of vectors in R3 and Ro>0 is the so-called Rossby number, a physical adimensional parameter linked to the speed of rotation of the Earth. In particular, the previous definition implies that the rotation is approximated to take place around the vertical axis, and its strength does not depend on the latitude. We point out that, despite all these simplifications, the obtained model is already able to give a quite accurate description of several physically relevant phenomena occurring in the dynamics of geophysical fluids (see e.g., [4,28]).

    In geophysical fluid dynamics, effects of the fast rotation are predominant; this translates into the fact that the value of Ro is very small. As a matter of fact, the Rossby number Ro is defined as the ratio between the nonlinear acceleration to the Coriolis parameter term, namely

    Ro:=UreffrefLref,

    where Uref,Lref and fref are respectively the horizontal velocity scale, the horizontal length scale and the reference Coriolis frequency (see e.g., [23] for more details). For instance, for a typical atmospheric value of Uref10 m/s, fref104s1 and Lref1000 km, the Rossby number turns out to be 0.1; its value is even smaller for many flows in the oceans. As established by the Taylor-Proudman theorem in geophysics, the fast rotation imposes a certain rigidity/stability, as it undresses the motion of any vertical variation, and forces it to take place on planes orthogonal to the rotation axis. Thus, the dynamics becomes purely two-dimensional and horizontal, and the fluid tends to move along vertical columns.

    However, such an ideal configuration is hinder by another fundamental force acting at geophysical scales, the gravity, which works to restore vertical stratification of the density. The gravitational force may be represented by the term

    G(ϱ):=1Fr2ϱe3,

    where Fr>0 is the Froude number, another physical adimensional parameter, which measures the importance of the stratification effects in the dynamics. In geophysics (see again [23] for details), Fr represents the square root of the ratio between inertia and gravity, namely

    Fr:=UrefgLref,

    where g is the acceleration of gravity.

    As it happens for the Rossby number, at large scales also the Froude parameter is typically very small. Thus, the competition between the stabilisation effect of the Coriolis force and the vertical stratification due to gravity, is translated in the model into the competition between the orders of magnitude of the two parameters Ro and Fr.

    Actually, it turns out that the gravity G acts in combination with pressure forces. Restricting from now on our attention to the case of compressible fluids, like currents in the atmosphere for instance, and neglecting for a while heat transfer processes, the pressure term arising in the mathematical model takes the form

    P(ϱ):=1Ma2p(ϱ),

    where p is a known smooth function of the density (and, in the general case, of the temperature of the fluid) and Ma>0 is the so-called Mach number, a third fundamental adimensional parameter which sets the size of isentropic departures from incompressible flow: the more Ma is small, the more compressibility effects are low. Also the value of Ma is very small for geophysical flows, since it is defined as

    Ma:=Urefc

    with c being the sound speed (for instance, in the oceans the typical sound speed is c1520 m/s).

    As it is customary in physical studies, because of the complexity of the model, one would like to derive reduced models for geophysical flows, which however are able to retain most of the properties of the original system. The problem is that the three terms C, G and P enter into play in the model with a very large prefactor in front of them, owing to the smallness of the values of Ro, Fr and Ma respectively. For assessing their relative importance and their influence in the dynamics, one fixes a choice of their orders of magnitude. Actually (see e.g., the discussion in Section 1.4 of [6]), there is some arbitrariness in doing so, depending on the specific properties of the physical system and on the processes one wants to put the accent on.

    In general, geophysical fluid dynamics is a multiscale process, meaning that Earth's rotation, gravity and pressure forces act, and interact, at different scales in the system. In other words, Ro, Fr and Ma have different orders of magnitude, and only for some specific choices, all (or some) of them are in balance.

    At the mathematical level, in the last 30 years there has been a huge amount of works devoted to the rigorous justification, in various functional frameworks, of the reduced models considered in geophysics. Studies have been carried out in various contexts: for instance, focusing only on the effects of the low Mach number, or on its interplay with a low Froude number regime.

    Reviewing the whole literature about this subject goes far beyond the scopes of this introduction, therefore we make the choice to report only on works which deal with the presence of the Coriolis force (1.1). We also decide to leave aside from the discussion the case of incompressible models, because (owing to the rigidity imposed by the divergence-free constraint on the velocity field of the fluid) less pertinent for multiscale analysis. We refer to book [4] and the references therein for a panorama of known results for incompressible homogeneous fluids, even though more recent developments have been made (see e.g., [30] for a case where stratification is considered). Notice that there are also a few recent works [5,12,29], dealing with incompressible non-homogeneous fluids, but results in that direction are only partial and the general picture still remains poorly understood at present.

    The framework of compressible fluid models, instead, provides a much richer setting for the multiscale analysis of geophysical flows. In what we are going to say, we make the choice of focusing on works which deal with viscous flows and which perform the asymptotic study for general ill-prepared initial data. However, the literature about the subject is more ample than that.

    First results in that direction were presented in [15,16] for the barotropic Navier-Stokes system. There, the authors investigated the combined effect of a strong Coriolis force (low Rossby number limit) and of weak compressibility of the fluid (low Mach number limit), under the scaling

    Ma=εm and Ro=ε, with m1, (1.2)

    where ε]0,1] is a small parameter, which one wants to let go to 0 in order to derive an asymptotic model. Notice that in [15] the effects due to the centrifugal force were considered as well, but this imposed the severe restriction m>10. In the case m=1 in (1.2), the system presents an isotropic scaling, since the Rossby and Mach numbers act at the same order of magnitude and they keep in balance in the limit process. This balance takes the name of quasi-geostrophic balance, and the limit system is identified as the so-called quasi-geostrophic equation for the stream function of the target velocity field. When m>1, instead, the pressure and Coriolis forces act at different scales, the former one having a predominant effect on the dynamics of the fluid. At the mathematical level, the anisotropy of scaling generates some complications in the analysis; in [15] this issue was handled by the use of dispersive estimates, which allowed to show convergence to a 2-D incompressible Navier-Stokes system.

    We refer to [9] for a similar study in the context of capillary models. There, the choice m=1 was made, but the anisotropy was given by the scaling fixed for the internal forces term (the so-called Korteweg stress tensor). In addition, we refer to [11] for the case of large Mach numbers, namely for the case when 0m<1 in (1.2). Since, in that instance, the pressure gradient is not strong enough to compensate the Coriolis force, in order to find some interesting dynamics in the limit one has to introduce a penalisation of the bulk viscosity coefficient.

    In [20,21] the effects of gravity were added, under the scaling

    Fr=εn, with 1n<m2. (1.3)

    In particular, in those works one had m>2. As before, a planar incompressible Navier-Stokes system was identified as the limiting system, but, as already mentioned, the anisotropy of scaling created several difficulties in the analysis. We refer to [24] and [25] for related studies in the context of the full Navier-Stokes-Fourier system, under the same choices of the scaling (notice that, in [25], the case m=1 was considered, but the gravitational force was not penalised at all). The asymptotic results of [20,21,24,25] are all based on a fine combination of the relative entropy/relative energy method with dispersive estimates derived from oscillatory integrals, and a strong argument which allows to handle the ill-preparation of the data (typically, the use of relative energy estimates requires to consider well-prepared initial data). In all those works, a vanishing viscosity regime was also considered.

    In our recent work [7], devoted to the full Navier-Stokes-Fourier system in presence of stratification, we were able to improve the choice of the scaling (1.3) and take the endpoint case n=m/2, with m1 as in (1.2). In passing, we mention that also effects of the centrifugal force were considered in [7], but this imposed the additional constraint m2 on the order of the Mach number (which, besides, refined the restriction in [15]). The improvement on the orders of the scaling was possible, essentially due to a different technique employed for proving convergence, based on compensated compactness arguments. We refer to [22] for the first implementation of that method in the context of fast rotating fluids, to [10,11,15] for other applications in the case of non-homogeneous flows. In particular, the convergence is not quantitative at all, but only qualitative. This technique is purely based on the algebraic structure of the system, which allows to find smallness (and vanishing to the limit) of suitable non-linear quantities, and fundamental compactness properties for other quantities (linked to the vorticity of the fluid and to the variations of the density); such compactness properties were already put in evidence in [12] (see also [5]) in the context of non-homogeneous incompressible fluids in fast rotation. All these features were enough to pass to the limit in the primitive system, and derive the limiting dynamics: a 2-D incompressible Navier-Stokes system when m>1, a quasi-geostrophic equation for the stream function of the limit velocity when m=1.

    An important point of the study performed in [7] is that the scaling n=m/2 allowed to deduce some stratification effect in the limit. More precisely, although the limit dynamics was horizontal and two-dimensional, as dictated by the Taylor-Proudman theorem, stratification appeared in the functions representing departures of the density and temperature from the respective equilibria. On the contrary, in previous works like [20,21,24,25], based on the scaling (1.3), stratification effects were completely absent. In this sense, we call the endpoint case n=m/2 "critical".

    To conclude this part, we mention that all the results quoted so far concern various regimes of low stratification, meaning that, according to the scaling in (1.2), (1.3), one has

    MaFr0 when ε0+.

    The strong stratification regime, namely when the ratio Ma/Fr is of order O(1), is particularly delicate for fast rotating fluids. This is in stark contrast with the results available about the derivation of the anelastic approximation, where rotation is neglected: we refer e.g., to [3,17,27] and, more recently, [13] (see also [19] and references therein for a more detailed account of previous works). The reason for that has to be ascribed exactly to the competition between vertical stratification (due to gravity) and horizontal stability (which the Coriolis force tends to impose): in the strong stratification regime, vertical oscillations of the solution (seem to) persist in the limit, and the available techniques do not allow at present to deal with this problem in its full generality. Nonetheless, partial results have been obtained in the case of well-prepared initial data, by means of a relative entropy method: we refer to [18] for the first result, where the mean motion is derived, and to [2] for an analysis of Ekman boundary layers in that framework.

    In the present work, we continue our investigation from [7], devoted to the multiscale analysis of systems for geophysical fluids and the derivation of reduced models.

    For clarity of exposition, we neglect here heat transfer processes in the fluid, and focus on the classical barotropic Navier-Stokes system as the primitive system; the more general case of the Navier-Stokes-Fourier system can be handled at the price of some additional technicalities (as done in [7]). Also, we simplify the model by neglecting effects due to the centrifugal force. On the one hand, this choice is not dramatic from the physical viewpoint (see the discussion in [6], for instance); on the other hand, we could include the presence of the centrifugal force, after imposing some additional restrictions on the order of magnitude of the Mach number. We refer to Section 2 below for the presentation of the precise equations we are going to consider in this paper.

    We work in the context of global in time finite energy weak solutions to the barotropic Navier-Stokes system with Coriolis force, which provides a good setting for studying singular limits for that system. We consider the general case of ill-prepared initial data.

    Our goal here is to go beyond the "critical" choice Fr=Ma performed in [7], and investigate other regimes where the stratification has an even more important effect. More precisely, we fix the following choice for the parameters m and n appearing in (1.2) and (1.3): we assume that

    either m>1 and m<2nm+1, or m=1 and 12<n<1. (1.4)

    The restriction n<1 when m=1 is imposed in order to avoid a strong stratification regime: as already mentioned before, it is not clear at present how to deal with this case for general ill-prepared initial data, as all the available techniques seem to break down in that case. On the other hand, the restriction 2nm+1 (for m>1) looks to be of technical nature. However, it comes out naturally in at least two points of our analysis, and it is not clear to us if, and how, it is possible to bypass it and consider the remaining range of values (m+1)/2<n<m. Let us point out that, in our considerations, the relation n<m holds always true, so we will always work in a low stratification regime.

    At the qualitative level, our main results will be quite similar to the ones presented in [7], in particular the limit dynamics will be the same (after distinguishing the two cases m>1 and m=1). We refer again to Section 2 for the precise statements. In this paper, the main point we put the accent on is how using in a fine way not only the structure of the system, but also the precise structure of each term in order to pass to the limit. To be more precise, the fact of considering values of n going above the threshold 2n=m is made possible thanks to special algebraic cancellations involving the gravity term in the system of wave equations. Such cancellations owe very much to the peculiar form of the gravitational force, which depends on the vertical variable only, and they do not appear, in general, if one wants to consider the action of different forces on the system. As one may easily guess, the case 2n=m+1 is more involved: indeed, this choice of the scaling implies the presence of an additional bilinear term of order O(1) in the computations; in turn, this term might not vanish in the limit, differently to what happens in the case 2n<m+1. In order to see that this does not occur, and that this term indeed disappears in the limit process, one has to use more thoroughly the structure of the system to control the oscillations.

    Before moving on, let us give an outline of the paper. In Section 2 we collect our assumptions and we state our main results. In Section 3 we show the main consequences of the finite energy condition on the family of weak solutions we are going to consider. Namely, we derive uniform bounds in suitable norms, which allow us to extract weak-limit points, and we explore the constraints those limit points have to satisfy. In Sections 4 and 5, we complete the proof of our main results, showing convergence in the weak formulation of the equations in the cases m>1 and m=1, respectively, via a compensated compactness argument. We conclude the paper with Appendix A, where we present some tools from Littlewood-Paley decomposition, which have been needed in our analysis.

    Some notation and conventions. Let BRn. The symbol 1B denotes the characteristic function of B. The notation Cc(B) stands for the space of C functions on Rn and having compact support in B. The dual space D(B) is the space of distributions on B.

    Given p[1,+], by Lp(B) we mean the classical space of Lebesgue measurable functions g, where |g|p is integrable over B (with the usual modifications for the case p=+). Given k0, we denote by Wk,p(B) the Sobolev space of functions which belongs to Lp(B) together with all their derivatives up to order k. When p=2, we set Wk,2(B)=Hk(B). For the sake of simplicity, we will often omit from the notation the set B, that we will explicitly point out if needed.

    Throughout the text, we adopt the following notation: given a Banach space X and any p[1,+], we set LpT(X):=Lp([0,T];X); in the case T=+, instead, we explicitly write Lp(R+;X). When convenient (typically, it will be the case in the statement of the main results or of important uniform bounds), we will use also the notation Lploc(R+;X):=T>0LpT(X).

    In the whole paper, the symbols c and C will denote generic multiplicative constants, which may change from line to line, and which do not depend on the small parameter ε. Sometimes, we will explicitly point out the quantities on which these constants depend, by putting them inside brackets.

    Let (fε)0<ε1 be a sequence of functions in a normed space Y. If this sequence is bounded in Y, we use the notation (fε)εY.

    Next, let us introduce some notation specific to fluids in fast rotation.

    If B is a domain in R3, we decompose xB into x=(xh,x3), with xhR2 denoting its horizontal component. Analogously, for a vector-field v=(v1,v2,v3)R3, we set vh=(v1,v2) and we define the differential operators h and divh as the usual operators, but acting just with respect to xh. In addition, we define the operator h:=(2,1). Finally, the symbol H denotes the Helmholtz projector onto the space of solenoidal vector fields in B, while Hh denotes the Helmholtz projection on R2. Observe that, in the sense of Fourier multipliers, one has Hhf=h(Δh)1curlhf.

    Moreover, since we will deal with a periodic problem in the x3-variable, we also introduce the following decomposition: for a vector-field X, we write

    X(x)=X(xh)+˜X(x)withX(xh):=1|T1|T1X(xh,x3)dx3, (1.5)

    where T1:=[1,1]/ is the one-dimensional flat torus (here denotes the equivalence relation which identifies 1 and 1) and |T1| denotes its Lebesgue measure. Notice that ˜X has zero vertical average, and therefore we can write ˜X(x)=3˜Z(x) with ˜Z having zero vertical average as well.

    In this section, we introduce the primitive system and formulate our working hypotheses (see Section 2.1), then we state our main results (in Section 2.2).

    As already said in the introduction, in this paper we assumed that the motion of the fluid is described by a rescaled version of the barotropic Navier-Stokes system with Coriolis and gravitational forces.

    Thus, given a small parameter ε]0,1], the system reads as follows:

    tϱε+div(ϱεuε)=0NSC1ε
    t(ϱεuε)+div(ϱεuεuε)+1εe3×ϱεuε+1ε2mxp(ϱε)=divS(xuε)+ϱεε2nxG,NSC2ε

    where we recall that m and n are taken according to (1.4). The unknowns in the previous equations are the density ϱε=ϱε(t,x)0 of the fluid and its velocity field uε=uε(t,x)R3, where tR+ and xΩ:=R2×]0,1[. The viscous stress tensor in (NSC2ε) is given by Newton's rheological law

    S(xuε)=μ(xuε+Txuε23divuεIdId)+ηdivuεIdId, (2.1)

    where μ>0 is the shear viscosity and η0 represents the bulk viscosity. The term e3×ϱεuε takes into account the (strong) Coriolis force acting on the fluid. As for the gravitational force, it is physically relevant to assume that

    G(x)=x3. (2.2)

    The precise expression of G will be useful in some computations below, although some generalisations are certainly possible.

    The system is supplemented with complete slip boundary conditions, namely

    (uεn)|Ω=0and([S(xuε)n]×n)|Ω=0, (2.3)

    where n denotes the outer normal to the boundary Ω={x3=0}{x3=1}. Notice that this is a true simplification, because it avoid complications due to the presence of Ekman boundary layers, when passing to the limit ε0+.

    Remark 2.1. As is well-known (see e.g., [8]), equations (NSC1ε)(NSC2ε), supplemented by the complete slip boundary boundary conditions from (2.3), can be recasted as a periodic problem with respect to the vertical variable, in the new domain

    Ω=R2×T1,withT1:=[1,1]/,

    where denotes the equivalence relation which identifies 1 and 1. Indeed, the equations are invariant if we extend ρ and uh as even functions with respect to x3, and u3 as an odd function.

    In what follows, we will always assume that such modifications have been performed on the initial data, and that the respective solutions keep the same symmetry properties.

    Now we need to impose structural restrictions on the pressure function p. We assume that

    pC1[0,)C2(0,),p(0)=0,p(ϱ)>0 for all ϱ0. (2.4)

    Additionally to (2.4), we require that

    there exists γ>32 such that limϱ+p(ϱ)ϱγ1=p>0. (2.5)

    Without loss of generality, we can suppose that p has been renormalised so that p(1)=1.

    Observe that the condition γ>3/2 is required in order to ensure existence of global in time finite energy weak solutions to system (NSC1ε)(NSC2ε), for any fixed value of ε]0,1]. We refer to Paragraph 2.1.2 below for more details.

    Next, we focus our attention on the so-called equilibrium states. For each value of ε]0,1] fixed, the equilibria of system (NSC1ε)(NSC2ε) consist of static densities ˜ϱε satisfying

    xp(˜ϱε)=ε2(mn)˜ϱεxG in Ω. (2.6)

    Equation (2.6) identifies ˜ϱε up to an additive constant: taking the target density to be 1, we get

    H(˜ϱε)=ε2(mn)G+H(1), where H(ϱ)=ϱϱ1p(z)z2dz. (2.7)

    Notice that relation (2.7) implies that

    H(ϱ)=p(ϱ)ϱandH(1)=1.

    Therefore, we infer that, whenever m1 and m>n as in the present paper, for any xΩ one has ˜ϱε(x)1 in the limit ε0+. More precisely, the next statement collects all the necessary properties of the static states. It corresponds to Lemma 2.3 and Proposition 2.5 of [7].

    Proposition 2.2. Let the gravitational force G be given by (2.2).Let (˜ϱε)0<ε1 be a family of static solutions to Eq (2.6) in Ω=R2×]0,1[.

    Then, there exist an ε0>0 and a 0<ρ<1 such that ˜ϱερ for all ε]0,ε0]and all xΩ.In addition, for any ε]0,ε0], one has:

    |˜ϱε(x)1|Cε2(mn),

    for a constant C>0 which is uniform in xΩ and in ε]0,1].

    Without loss of any generality, we can assume that ε0=1 in Proposition 2.2.

    In light of this analysis, it is natural to try to solve system (NSC1ε)(NSC2ε) in Ω, supplemented with the far field conditions

    ϱε˜ϱε and uε0as|x|+. (2.8)

    In view of the boundary conditions (2.8) "at infinity", we assume that the initial data are close (in a suitable sense) to the equilibrium states ˜ϱε that we have just identified. Namely, we consider initial densities of the following form:

    ϱ0,ε=˜ϱε+εmϱ(1)0,ε. (2.9)

    For later use, let us introduce also the following decomposition of the initial densities:

    ϱ0,ε=1+ε2(mn)R0,ε with R0,ε=˜rε+ε2nmϱ(1)0,ε,˜rε:=˜ϱε1ε2(mn). (2.10)

    Notice that the ˜rε's are in fact data of the system, since they only depend on p and G.

    We suppose the density perturbations ϱ(1)0,ε to be measurable functions and satisfy the control

    supε]0,1]ϱ(1)0,ε(L2L)(Ω)c, (2.11)

    together with the "mean-free condition"

    Ωϱ(1)0,εdx=0.

    As for the initial velocity fields, we assume the following uniform bound:

    supε]0,1]˜ϱεu0,εL2(Ω)c. (2.12)

    Remark 2.3. In view of Proposition 2.2, the condition in (2.12) immediately implies that

    supε]0,1]u0,εL2(Ω)c.

    Thanks to the previous uniform estimates, up to extraction, we can identify the limit points

    ϱ(1)0:=limε0ϱ(1)0,εweaklyinL(Ω)L2(Ω) (2.13)
    u0:=limε0u0,εweaklyinL2(Ω). (2.14)

    At this point, let us specify better what we mean for finite energy weak solution (see [19] for details).

    Definition 2.4. Let Ω=R2×]0,1[,. Fix T>0 and ε>0. Let (ϱ0,ε,u0,ε) be an initial datum satisfying (2.9)–(2.12). We say that the couple (ϱε,uε) is a finite energy weak solution of the system (NSC1ε)(NSC2ε) in ]0,T[×Ω, supplemented with the boundary conditions (2.3) and far field conditions (2.8), related to the initial datum (ϱ0,ε,u0,ε), if the following conditions hold:

    (i) the functions ϱε and uε belong to the class

    ϱε0,ϱε˜ϱεL(0,T;L2+Lγ(Ω)),uεL2(0,T;H1(Ω)),(uεn)|Ω=0;

    (ii) the equations have to be satisfied in a distributional sense:

    T0Ω(ϱεtφ+ϱεuεxφ)dxdt=Ωϱ0,εφ(0,)dx (2.15)

    for any φCc([0,T[ׯΩ) and

    T0Ω(ϱεuεtψϱε[uεuε]:xψ+1εe3×(ϱεuε)ψ1ε2mp(ϱε)divψ)dxdt=T0Ω(S(xuε):xψ+1ε2nϱεxGψ)dxdt+Ωϱ0,εu0,εψ(0,)dx (2.16)

    for any test function ψCc([0,T[ׯΩ;R3) such that (ψn)|Ω=0;

    (iii) the energy inequality holds for almost every t(0,T):

    Ω12ϱε|uε|2(t)dx+1ε2mΩE(ϱε,˜ϱε)(t)dx+t0ΩS(xuε):xuεdxdτΩ12ϱ0,ε|u0,ε|2dx+1ε2mΩE(ϱ0,ε,˜ϱε)dx, (2.17)

    where the function

    E(ρ,˜ϱε):=H(ρ)(ρ˜ϱε)H(˜ϱε)H(˜ϱε) (2.18)

    is the relative internal energy of the fluid, with H given by (2.7).

    The solutions is global if the previous conditions hold for all T>0.

    Under the assumptions fixed above, for any fixed value of the parameter ε]0,1], the existence of a global in time finite energy weak solution (ϱε,uε) to system (NSC1ε)(NSC2ε), related to the initial datum (ϱ0,ε,u0,ε), in the sense of the previous definition, can be proved as in the classical case, see e.g., [14,26]. Notice that the mapping t(ϱεuε)(t,) is weakly continuous, and one has (ϱε)|t=0=ϱ0,ε together with (ϱεuε)|t=0=ϱ0,εu0,ε.

    We remark also that, in view of (2.1), the total mass is conserved in time, in the following sense: for almost every t[0,+[, one has

    Ω(ϱε(t)˜ϱε)dx=0.

    To conclude, we point out that, in our framework of finite energy weak solutions to the primitive system, inequality (2.17) will be the only tool to derive uniform estimates for the family of weak solutions we are going to consider.

    We can now state our main results. We point out that, due to the scaling (1.4), the relation m>n is always true, so we will always be in a low stratification regime.

    The first statement concerns the case when the effects linked to the pressure term are predominant with respect to the fast rotation, i.e., m>1.

    Theorem 2.5. Let Ω=R2×]0,1[ and GW1,(Ω) be as in (2.2). Take m>1 and m+12n>m.For any fixed value of ε]0,1], let initial data (ϱ0,ε,u0,ε) verify the hypotheses fixed in Paragraph 2.1.2, and let(ϱε,uε) be a corresponding weak solution to system (NSC1ε)(NSC2ε), supplemented with the structural hypotheses (2.1) on S(xuε) and with boundary conditions (2.5) and far field conditions (2.8).Let u0 be defined as in (2.14).

    Then, for any T>0 one has the convergence properties

    ϱε1strongly inL(0,T;Lmin{2,γ}loc(Ω))uεUweaklyinL2(0,T;H1(Ω)),

    where U=(Uh,0), with Uh=Uh(t,xh) such that divhUh=0. In addition, the vector field Uh is a weak solutionto the following homogeneous incompressible Navier-Stokes system in R+×R2,

    tUh+divh(UhUh)+hΓμΔhUh=0, (2.19)

    for a suitable pressure function ΓD(R+×R2) and related to the initial condition

    U|t=0=Hh(uh0).

    When m=1, the Mach and Rossby numbers have the same order of magnitude, and they keep in balance in the whole asymptotic process, realising in this way the so-called quasi-geostrophic balance in the limit. The next statement is devoted to this case.

    Theorem 2.6. Let Ω=R2×]0,1[ and let GW1,(Ω) be as in (2.2). Take m=1 and 1/2<n<1. For any fixed value of ε]0,1], let initial data (ϱ0,ε,u0,ε) verify the hypotheses fixed in Paragraph 2.1.2, and let(ϱε,uε) be a corresponding weak solution to system (NSC1ε)(NSC2ε), supplemented with the structural hypotheses (2.1) on S(xuε) and with boundary conditions (2.5) and far field conditions (2.8).Let (ϱ(1)0,u0) be defined as in (2.13) and (2.14).

    Then, for any T>0 one has the following convergence properties:

    ϱε1strongly inL(0,T;Lmin{2,γ}loc(Ω))ϱ(1)ε:=ϱε~ϱεεϱ(1)weakly- * inL(0,T;L2+Lγ(Ω))uεUweakly inL2(0,T;H1(Ω)),

    where, as above, U=(Uh,0), with Uh=Uh(t,xh) such that divhUh=0. Moreover, one has the relation Uh=hϱ(1), and ϱ(1) satisfies (in the weak sense) the quasi-geostrophic equation

    t(ϱ(1)Δhϱ(1))hϱ(1)h(Δhϱ(1))+μΔ2hϱ(1)=0, (2.20)

    supplemented with the initial condition

    (ϱ(1)Δhϱ(1))|t=0=ϱ(1)0curlhuh0.

    In Definition 2.4, we have postulated that the family of weak solutions (ϱε,uε)ε considered in Theorems 2.5 and 2.6 satisfies the energy inequality (2.17). In this section we take advantage of that fact to infer uniform bounds for (ϱε,uε)ε, see Section 3.1. Thanks to those bounds, we can extract weak-limit points of the sequence of solutions and deduce some properties those limit points have to satisfy, see Section 3.2.

    This section is devoted to establish uniform bounds on the sequence (ϱε,uε)ε. This can be done as in the classical case (see e.g., [19] for details), since the Coriolis term does not contribute to the total energy balance of the system. However, for the reader's convenience, let us present some details.

    To begin with, let us introduce a partition of the space domain Ω into the so-called "essential" and "residual" sets. For this, for t>0 and for all ε]0,1], we define the sets

    Ωεess(t):={xΩ|ϱε(t,x)[1/2ρ,2]},Ωεres(t):=ΩΩεess(t),

    where the positive constant ρ>0 has been defined in Proposition 2.2. Then, given a function h, we write

    h=[h]ess+[h]res, where [h]ess:=h1Ωεess(t).

    Here above, 1A denotes the characteristic function of a set AΩ.

    Next, we observe that

    [E(ρ(t,x),˜ϱε(x))]ess[ρ˜ϱε(x)]2ess and [E(ρ(t,x),˜ϱε(x))]resC(1+[ρ(t,x)]γres),

    where ˜ϱε is the static density state identified in Section 2.1.1 and E is given by (2.18). Here above, the multiplicative constants are all strictly positive and may depend on ρ and we agree to write AB whenever there exists a "universal" constant c>0 such that (1/c)BAcB.

    Thanks to the previous observations, we easily see that, under the assumptions fixed in Section 2 on the initial data, the right-hand side of (2.17) is uniformly bounded for all ε]0,1]. Specifically, we have

    Ω12ϱ0,ε|u0,ε|2dx+1ε2mΩE(ϱ0,ε,˜ϱε)dxC.

    Owing to the previous inequalities and the finite energy condition (2.17) on the family of weak solutions, it is quite standard to derive, for any time T>0 fixed and any ε]0,1], the following estimates:

    supt[0,T]ϱεuεL2(Ω;R3)c (3.1)
    supt[0,T][ϱε˜ϱεεm]ess(t)L2(Ω)c (3.2)
    supt[0,T]Ω1lMεres[t]dxcε2m (3.3)
    supt[0,T]Ω[ϱε]γres(t)dxcε2m (3.4)
    T0xuε+Txuε23divuεIdId2L2(Ω;R3×3)dtc. (3.5)

    We refer to [19] (see also [7,11,15,16]) for the details of the computations.

    Owing to (3.5) and a generalisation of the Korn inequality (see e.g., Chapter 10 of [19]), we gather that (uε)εL2T(L2). On the other hand, by arguing as in [16], we can use (3.1), (3.3) and (3.4) to deduce that also (uε)εL2T(L2). Putting those bounds together, we finally infer that

    T0uε2H1(Ω;R3)dtc. (3.6)

    In particular, there exist UL2loc(R+;H1(Ω;R3)) such that, up to a suitable extraction (not relabelled here), we have

    uεU in L2loc(R+;H1(Ω;R3)). (3.7)

    Let us move further and consider the density functions. The previous estimates on the density tell us that we must find a finer decomposition for the densities. As a matter of fact, for any time T>0 fixed, we have

    ϱε1LT(L2+Lγ+L)cε2(mn). (3.8)

    In order to see (3.8) we write

    |ϱε1||ϱε˜ϱε|+|˜ϱε1|. (3.9)

    From (3.2), we infer that [ϱε˜ϱε]ess is of order O(εm) in LT(L2). For the residual part of the same term, we can use (3.4) to discover that it is of order O(ε2m/γ). Observe that, if 1<γ<2, the higher order is O(εm), whereas, in the case γ2, by use of (3.4) and (3.3) again, it is easy to get

    [ϱε˜ϱε]res2LT(L2)Cε2m. (3.10)

    Finally, we apply Proposition 2.2 to control the last term in the right-hand side of (3.9). In the end, estimate (3.8) is proved. Observe that this bound relies in the essential way on the low stratification regime considered here, namely on the assumption m>n.

    This having been established, and keeping in mind the notation introduced in (2.9) and (2.10), we can introduce the density oscillation functions

    Rε:=ϱε1ε2(mn)=˜rε+ε2nmϱ(1)ε,

    where we have defined

    ϱ(1)ε(t,x):=ϱε˜ϱεεm and ˜rε(x):=˜ϱε1ε2(mn). (3.11)

    Thanks again to (3.2), (3.4) and Proposition 2.2, we see that the above quantities verify the following uniform bounds, for any time T>0 fixed:

    supε]0,1]ϱ(1)εLT(L2+Lγ(Ω))c and supε]0,1]˜rεL(Ω)c. (3.12)

    In view of the previous properties, there exist ϱ(1)Lloc(R+;L2+Lγ) and ˜rL such that (up to the extraction of a new suitable subsequence), for any T>0 we have

    ϱ(1)εϱ(1) weakly- * in L(0,T;L2+Lγ(Ω)) and ˜rε˜r weakly- * in L(Ω). (3.13)

    In particular, we get

    Rε˜r weakly- * in L(0,T;Lmin{γ,2}loc(Ω)).

    Remark 3.1. Observe that, owing to (3.10), when γ2 we get

    supε]0,1]ϱ(1)εLT(L2)c.

    Therefore, in that case we actually have that ϱ(1)LT(L2) and that ϱ(1)εϱ(1) in LT(L2).

    Analogously, when γ2 we also get

    ϱε1LT(L2+L)cε2(mn).

    In this section, we establish some properties that the limit points of the family (ϱε,uε)ε, which have been identified here above, have to satisfy.

    We first need a preliminary result about the decomposition of the pressure function, which will be useful in the following computations.

    Lemma 3.2. Let (m,n)R2 verify the condition m+12n>m1. Let p be the pressure term satisfying the structural hypotheses (2.4)–(2.5). Then, for any ε]0,1], one has

    1ε2mx(p(ϱε)p(˜ϱε))=1εmx(p(1)ϱ(1)ε)+1ε2nmxΠε, (3.14)

    where the functions ϱ(1)ε have been introduced in (3.11) and, for all T>0, the family (Πε)ε verifies the uniform bound

    ΠεLT(L1+L2+Lγ)C. (3.15)

    When γ2, one can dispense of the space Lγ in the above control of (Πε)ε.

    Proof. We start by writing simple algebraic computations:

    1ε2mx(p(ϱε)p(˜ϱε))=1ε2mx(p(ϱε)p(˜ϱε)p(˜ϱε)(ϱε˜ϱε))+1εmx((p(˜ϱε)p(1))ϱ(1)ε)+1εmx(p(1)ϱ(1)ε). (3.16)

    We start by analysing the first term on the right-hand side of (3.16). For the essential part, we can employ a Taylor expansion to write

    [p(ϱε)p(˜ϱε)p(˜ϱε)(ϱε˜ϱε)]ess=[p(zε)(ϱε˜ϱε)2]ess,

    where zε is a suitable point between ϱε and ˜ϱε. Thanks to the uniform bound (3.2), we have that this term is of order O(ε2m) in LT(L1), for any T>0 fixed. For the residual part, we can use (3.3) and (3.4), together with the boundedness of the profiles ˜ϱε (keep in mind Proposition 2.2), to deduce that

    [p(ϱε)p(˜ϱε)p(˜ϱε)(ϱε˜ϱε)]resLT(L1)Cε2m.

    We refer to e.g., Lemma 4.1 of [11] for details.

    In a similar way, a Taylor expansion for the second term on the right-hand side of (3.16) gives

    (p(˜ϱε)p(1))ϱ(1)ε=p"(ηε)(˜ϱε1)ϱ(1)ε

    where ηε is a suitable point between ˜ϱε and 1. Owing to Proposition 2.2 again and to bound (3.12), we infer that this term is of order O(ε2(mn)) in LT(L2+Lγ), for any time T>0 fixed. Then, defining

    Πε:=1ε2(mn)[p(ϱε)p(˜ϱε)εmp(1)ϱ(1)ε]

    we have the control (3.15).

    The final statement concerning the case γ2 easily follows from Remark 3.1. This completes the proof of the lemma.

    Remark 3.3. Notice that the last term appearing in (3.14) is singular in ε. This is in stark contrast with the situation considered in previous works, see e.g., [11,15,16,21]. However, its gradient structure will play a fundamental role in the computations below.

    This having been pointed out, we can now analyse the constraints on the weak-limit points (ϱ(1),U), identified in relations (3.7) and (3.13) above.

    We start by considering the case of anisotropic scaling, namely m>1 and m+12n>m. Notice that, in particular, one has m>n.

    Proposition 3.4. Let m>1 and m+12n>m in (NSC1ε)(NSC2ε).Let (ϱε,uε)ε be a family of weak solutions, related to initial data (ϱ0,ε,u0,ε)εverifying the hypotheses of Section 2.1.2. Let (ϱ(1),U) be a limit point of the sequence(ϱ(1)ε,uε)ε, as identified in Section 3.1. Then

    U=(Uh,0),withUh=Uh(t,xh)anddivhUh=0, (3.17)
    [1ex]xϱ(1)=0inD(R+×Ω). (3.18)

    Proof. First of all, let us consider the weak formulation of the mass equation (NSC1ε). Take a test function φCc(R+×Ω) and denote [0,T]×K:=suppφ. Then by (2.15) we have

    T0K(ϱε1)tφdxdtT0Kϱεuεxφdxdt=K(ϱ0,ε1)φ(0,)dx.

    We can easily pass to the limit in this equation, thanks to the strong convergence ϱε1, provided by (3.8), and the weak convergence of uε in L2T(L6loc), provided by (3.7) and Sobolev embeddings. Notice that one always has 1/γ+1/61. In this way, we find

    T0KUxφdxdt=0 (3.19)

    for φ taken as above. Since the choice of φ is arbitrary, we obtain that

    divU=0 a.e. in R+×Ω. (3.20)

    Next, we test the momentum equation (NSC2ε) on εmϕ, for a smooth compactly supported ϕ. Using the uniform bounds established in Section 3.1, it is easy to see that the term presenting the time derivative, the viscosity term and the convective term all converges to 0, in the limit ε0+. Since m>1, also the Coriolis term vanishes when ε0+. It remains us to consider the pressure and gravity terms in the weak formulation (2.16) of the momentum equation: using relation (2.6), we see that we can couple them to write

    1ε2mxp(ϱε)1ε2nϱεxG=1ε2mx(p(ϱε)p(˜ϱε))εm2nϱ(1)εxG. (3.21)

    By (3.12) and the fact that m>n, we readily see that the last term in the right-hand side of (3.21) converges to 0, when tested against any smooth compactly supported εmϕ. At this point, we use Lemma 3.2 to treat the first term on the right-hand side of (3.21). So, taking ϕCc([0,T[×Ω) (for some T>0), we test the momentum equation against εmϕ: using (3.13), in the limit ε0+ we find

    T0Ωp(1)ϱ(1)divϕdxdt=0.

    Recalling that p(1)=1, the previous relation implies (3.18) for ϱ(1). In particular, that relation implies that ϱ(1)(t,x)=c(t) for almost all (t,x)R+×Ω, for a suitable function c=c(t) depending only on time.

    Now, in order to see effects due to the fast rotation in the limit, we need to "filter out" the contribution coming from the low Mach number. To this end, we test (NSC2ε) on εϕ, where this time we take ϕ=curlψ, for some smooth compactly supported ψCc([0,T[×Ω), with T>0. Once again, by uniform bounds we infer that the t term, the convective term and the viscosity term all converge to 0 when ε0+. As for the pressure and the gravitational force, we argue as in (3.21). Since the structure of ϕ kills any gradient term, we are left with the convergence of the integral

    T0Ωεm2n+1ϱ(1)εxGϕdxdtδ0(m2n+1)T0Ωϱ(1)xGϕdxdt,

    where δ0(ζ)=1 if ζ=0, δ0(ζ)=0 otherwise. Finally, arguing as done for the mass equation, we see that the Coriolis term converges to the integral T0Ωe3×Uϕ.

    Consider the case m+1>2n for a while. Passing to the limit for ε0+, we find that H(e3×U)=0, which implies that e3×U=xΦ, for some potential function Φ. From this relation, one easily deduces that Φ=Φ(t,xh), i.e., Φ does not depend on x3, and that the same property is inherited by Uh=(U1,U2), i.e., one has Uh=Uh(t,xh). Furthermore, since Uh=Φ, we get that divhUh=0. At this point, we combine this fact with (3.20) to infer that 3U3=0; but, thanks to the boundary condition (2.3), we must have (Un)|Ω=0, which implies that U3 has to vanish at the boundary of Ω. Thus, we finally deduce that U30, whence (3.17) follows.

    Now, let us focus on the case when m+1=2n. The previous computations show that, when ε0+, we get

    e3×U+ϱ(1)xG=xΦ in D(R+×Ω), (3.22)

    for a new suitable function Φ. However, owing to (3.18), we see that ϱ(1)xG=x(ϱ(1)G); hence, the previous relations can be recasted as e3×U=x˜Φ, for a new scalar function ˜Φ. Therefore, the same analysis as above applies, allowing us to gather (3.17) also in the case m+1=2n.

    Now we focus on the case m=1. In this case, the fast rotation and weak compressibility effects are of the same order: this allows to reach the so-called quasi-geostrophic balance in the limit.

    Proposition 3.5. Take m=1 and 1/2<n<1 in system (NSC1ε)(NSC2ε).Let (ϱε,uε)ε be a family of weak solutions to (NSC1ε)(NSC2ε), associated with initial data(ϱ0,ε,u0,ε) verifying the hypotheses fixed in Section 2.1.2.Let (ϱ(1),U) be a limit point of the sequence (ϱ(1)ε,uε)ε, as identified in Section 3.1.Then,

    ϱ(1)=ϱ(1)(t,xh)andU=(Uh,0),withUh=hϱ(1)a.e. inR+×R2. (3.23)

    In particular, one has Uh=Uh(t,xh) and divhUh=0.

    Proof. Arguing as in the proof of Proposition 3.4, it is easy to pass to the limit in the continuity equation. In particular, we obtain again relation (3.20) for U.

    Only the analysis of the momentum equation changes a bit with respect to the previous case m>1. Now, since the most singular terms are of order ε1 (keep in mind Lemma 3.2), we test the weak formulation (2.16) of the momentum equation against εϕ, where ϕ is a smooth compactly supported function. Similarly to what done above, the uniform bounds of Section 3.1 allow us to infer that the only quantity which does not vanish in the limit is the sum of the terms involving the Coriolis force, the pressure and the gravitational force: more precisely, using also Lemma 3.2 and (2.6), we have

    e3×ϱεuε+x(p(ϱε)p(˜ϱε))εε2(1n)ϱ(1)εxG=O(ε)

    in the sense of D(R+×Ω). Following the same computations performed in the proof of Proposition 3.4, in the limit ε0+ it is easy to get that

    e3×U+x(p(1)ϱ(1))=0 in D(R+×Ω).

    After recalling that p(1)=1, this equality can be equivalently written as

    e3×U+xϱ(1)=0 a.e. in R+×Ω.

    Notice that U is in fact in L2loc(R+;L2), therefore so is xϱ(1); hence the previous relation is in fact satisfied almost everywhere in R+×Ω.

    At this point, we can repeat the same argument used in the proof of Proposition 3.4 to deduce (3.23). The proposition is thus proved.

    In this section, we complete the proof of Theorem 2.5. Namely, we show convergence in the weak formulation of the primitive system, in the case when m>1 and m+12n>m.

    In Proposition 3.4, we have already seen how passing to the limit in the mass equation. However, problems arise when tackling the convergence in the momentum equation. Indeed, the analysis carried out so far is not enough to identify the weak limit of the convective term ϱεuεuε, which is highly non-linear. For proving that this term converges to the expected limit UU, the key point is to control the strong oscillations in time of the solutions, generated by the singular terms in the momentum equation. For this, we will use a compensated compactness argument and exploit the algebraic structure of the wave system underlying the primitive equations (NSC1ε)(NSC2ε).

    In Section 4.1, we start by giving a quite accurate description of those fast oscillations. Then, using that description, we are able, in Section 4.2, to establish two fundamental properties: on the one hand, strong convergence of a suitable quantity related to the velocity fields; on the other hand, that the other terms which do not involve that quantity tend to vanish when ε0+. In turn, this allows us to complete, in Section 4.3, the proof of the convergence.

    The goal of the present subsection is to describe the fast time oscillations of the solutions. First of all, we recast our equations into a wave system. Then, we establish uniform bounds for the quantities appearing in the wave system. Finally, we apply a regularisation in space procedure for all the quantities, which is preparatory in view of the computations of Section 4.2.

    We introduce the quantity

    Vε:=ϱεuε.

    Then, straightforward computations show that we can recast the continuity equation in the form

    εmtϱ(1)ε+divVε=0, (4.1)

    where ϱ(1)ε is defined in (3.11). Next, thanks to Lemma 3.2 and the static relation (2.6), we can derive the following form of the momentum equation:

    εmtVε+εm1e3×Vε+p(1)xϱ(1)ε=ε2(mn)(ϱ(1)εxGxΠε)+εm(divS(xuε)div(ϱεuεuε)). (4.2)

    Then, if we define

    fε:=div(S(xuε)ϱεuεuε) and gε:=ϱ(1)εxGxΠε (4.3)

    recalling that we have normalised the pressure function so that p(1)=1, we can recast the primitive system (NSC1ε)(NSC2ε) in the following form:

    {εmtϱ(1)ε+divVε=0εmtVε+xϱ(1)ε+εm1e3×Vε=εmfε+ε2(mn)gε (4.4)

    We remark that system (4.4) has to be read in the weak sense: for any φCc([0,T[ׯΩ), one has

    εmT0Ωϱ(1)εtφT0ΩVεxφ=εmΩϱ(1)0,εφ(0),

    and also, for any ψCc([0,T[ׯΩ;R3) such that (ψn)|Ω=0, one has

    εmT0ΩVεtψT0Ωϱ(1)εdivψ+εm1T0Ωe3×Vεψ=εmΩϱ0,εu0,εψ(0)+εmT0Ωfεψ+ε2(mn)T0Ωgεψ

    Here we use estimates of Section 3.1 in order to show uniform bounds for the solutions and the data in the wave equation (4.4). We start by dealing with the "unknown" Vε. Splitting the term into essential and residual parts, one can obtain for all T>0:

    VεLT(L2+L2γ/(γ+1))c. (4.5)

    In the next lemma, we establish bounds for the source terms in the system of acoustic waves (4.4).

    Lemma 4.1. Write fε=div˜fε and gε=g1εxΠε, where we have definedg1ε:=ϱ(1)εxG and the functions Πε have been introduced in Lemma 3.2.

    For any T>0 fixed, one has the uniform embedding properties

    (˜fε)εL2T(L2+L1)and(g1ε)εLT(L2+Lγ).

    In the case γ2, we may dispense with the space Lγ in the control of (g1ε)ε.

    In particular, the sequences (fε)ε and(gε)ε, defined in system (4.4), are uniformly bounded in the space L2([0,T];Hs(Ω)), for all s>5/2.

    Proof. From (3.1), (3.5) and (3.6), we immediately infer the uniform bound for the family (˜fε)ε in L2T(L1+L2), from which we deduce also the uniform boundedness of (fε)ε in L2T(Hs), for any s>5/2.

    Next, for bounding (g1ε)ε we simply use (3.12), together with Remark 3.1 when γ2. Keeping in mind the bounds established in Lemma 3.2, the uniform estimate for (gε)ε follows.

    As already mentioned in Remark 2.1, in order to apply the Littlewood-Paley theory, it is convenient to reformulate problem (NSC1ε)(NSC2ε) in the new domain (which we keep calling Ω, with a little abuse of notation)

    Ω:=R2×T1,withT1:=[1,1]/.

    In addition, to avoid the appearing of (irrelevant) multiplicative constants in the computations, we suppose that the torus T1 has been renormalised so that its Lebesgue measure is equal to 1.

    Now, for any MN we consider the low-frequency cut-off operator SM of a Littlewood-Paley decomposition, as introduced in Eq (A.1) of the Appendix. Then, we define

    ϱ(1)ε,M=SMϱ(1)εandVε,M=SMVε. (4.6)

    The previous regularised quantities satisfy the following properties.

    Proposition 4.2. For any T>0, we have the following convergence properties, in the limit M+:

    sup0<ε1ϱ(1)εϱ(1)ε,ML([0,T];Hs)0s>max{0,3(1γ12)}sup0<ε1VεVε,ML([0,T];Hs)0s>32γ. (4.7)

    Moreover, for any M>0, the couple (ϱ(1)ε,M,Vε,M) satisfies the approximate wave equations

    {εmtϱ(1)ε,M+divVε,M=0εmtVε,M+εm1e3×Vε,M+xϱ(1)ε,M=εmfε,M+ε2(mn)gε,M (4.8)

    where (fε,M)ε and (gε,M)ε are families of smooth (in the space variables) functions satisfying, for any s0, the uniform bounds

    sup0<ε1fε,ML2([0,T];Hs)+sup0<ε1gε,ML([0,T];Hs)C(s,M,T), (4.9)

    where the constant C(s,M,T) depends on the fixed values of s0, M>0 and T>0, but not on ε>0.

    Proof. Thanks to characterization (A.2) of Hs, properties (4.7) are straightforward consequences of the uniform bounds establish in Section 3.1. For instance, let us consider the functions ϱ(1)ε: when γ2, owing to Remark 3.1 one has (ϱ(1)ε)εLT(L2), and then we use estimate (A.3) from the Appendix. When 1<γ<2, instead, we first apply the dual Sobolev embedding to infer that (ϱ(1)ε)εLT(Hσ), with σ=σ(γ)=3(1/γ1/2), and then we use (A.3) again. The bounds for the momentum (Vε)ε can be deduced by a similar argument, after observing that 2γ/(γ+1)<2 always.

    Next, applying the operator SM to (4.4) immediately gives us system (4.8), where we have set

    fε,M:=SMfεandgε,M:=SMgε.

    Thanks to Lemma 4.1 and (A.2), it is easy to verify inequality (4.9).

    We will need also the following important decomposition for the momentum vector fields Vε,M and their curl.

    Proposition 4.3. For any M>0 and any ε]0,1], the following decompositions hold true:

    Vε,M=ε2(mn)t1ε,M+t2ε,MandcurlxVε,M=ε2(mn)T1ε,M+T2ε,M,

    where, for any T>0 and s0, one has

    t1ε,ML2([0,T];Hs)+T1ε,ML2([0,T];Hs)C(s,M,T)t2ε,ML2([0,T];H1)+T2ε,ML2([0,T];L2)C(T),

    for suitable positive constants C(s,M,T) and C(T), which are uniform with respect to ε]0,1].

    Proof. We decompose Vε,M=ε2(mn)t1ε,M+t2ε,M, where we define

    t1ε,M:=SM(ϱε1ε2(mn)uε) and t2ε,M:=SM(uε). (4.10)

    The decomposition of curlxVε,M follows after setting Tjε,M:=curlxtjε,M, for j=1,2.

    We have to prove uniform bounds for all those terms, by using the estimates established in Section 3.1 above. First of all, we have that (uε)εL2T(H1), for any T>0 fixed. Then, we immediately gather the sought bounds for the vector fields t2ε,M and T2ε,M.

    For the families of t1ε,M and T1ε,M, instead, we have to use the bounds provided by (3.8) and (when γ2) Remark 3.1. In turn, we see that for any T>0:

    (ϱε1ε2(mn)uε)L2T(L1+L2+L6γ/(γ+6))L2T(Hσ),

    for some σ>0 large enough. Therefore, the claimed bounds follow thanks to the regularising effect of the operators SM. The proof of the proposition is thus completed.

    In this subsection we show the convergence of the convective term. The first step is to reduce its analysis to the case of smooth vector fields Vε,M.

    Lemma 4.4. Let T>0. For any ψCc([0,T[×Ω;R3), we have

    limM+lim supε0+|T0Ωϱεuεuε:xψdxdtT0ΩVε,MVε,M:xψdxdt|=0.

    Proof. The proof is very similar to the one of Lemma 4.5 from [7], for this reason we just outline it.

    One starts by using the decomposition ϱε=1+ε2(mn)Rε to reduce (owing to the uniform bounds of Section 3.1) the convective term to the "homogeneous counterpart": for any test function ψCc(R+×Ω;R3), one has

    limε0+|T0Ωϱεuεuε:xψdxdtT0Ωuεuε:xψdxdt|=0.

    Notice that, here, one has to use that γ3/2.

    After that, we write uε=SM(uε)+(IdSM)uε=t2ε,M+(IdSM)uε. Using Proposition 4.3 and the fact that (IdSM)uεL2T(L2)C2MxuεL2T(L2)C2M, which holds in view of estimate (A.3) from the Appendix and the uniform bound (3.6), one can conclude.

    From now on, for notational convenience, we generically denote by Rε,M any remainder term, that is any term satisfying the property

    limM+lim supε0+|T0ΩRε,Mψdxdt|=0 (4.11)

    for all test functions ψCc([0,T[×Ω;R3) lying in the kernel of the singular perturbation operator, namely (in view of Proposition 3.4) such that

    ψCc([0,T[×Ω;R3) such that divψ=0 and 3ψ=0. (4.12)

    Notice that, in order to pass to the limit in the weak formulation of the momentum equation and derive the limit system, it is enough to use test functions ψ as above.

    Thus, for ψ as in (4.12), we have to pass to the limit in the term

    T0ΩVε,MVε,M:xψ=T0Ωdiv(Vε,MVε,M)ψ.

    Notice that the integration by parts above is well-justified, since all the quantities inside the integrals are smooth with respect to the space variable. Owing to the structure of the test function, and resorting to the notation introduced in (1.5), we remark that we can write

    T0Ωdiv(Vε,MVε,M)ψ=T0R2(T1ε,M+T2ε,M)ψh,

    where we have defined the terms

    T1ε,M:=divh(Vhε,MVhε,M) and T2ε,M:=divh(˜Vhε,M˜Vhε,M). (4.13)

    In the next two paragraphs, we will deal with each one of those terms separately. We borrow most of the arguments from [7] (see also [11,15] for a similar approach). However, the special structure of the gravity force will play a key role here, in order (loosely speaking) to compensate the stronger singularity due to our scaling 2n>m.

    We start by dealing with T1ε,M. It is standard to write

    T1ε,M=divh(Vhε,MVhε,M)=divhVhε,MVhε,M+Vhε,MhVhε,M=divhVhε,MVhε,M+12h(|Vhε,M|2)+curlhVhε,MVhε,M. (4.14)

    Notice that the second term is a perfect gradient, so it vanishes when tested against divergence-free test functions. Hence, we can treat it as a remainder, in the sense of (4.11).

    For the first term in the second line of (4.14), instead, we take advantage of system (4.8): averaging the first equation with respect to x3 and multiplying it by Vhε,M, we arrive at

    divhVhε,MVhε,M=εmtϱ(1)ε,MVhε,M=εmϱ(1)ε,MtVhε,M+Rε,M,

    in the sense of distributions. We remark that the term presenting the total derivative in time is in fact a remainder, thanks to the factor εm in front of it. Now, we use the horizontal part of (4.8), where we first take the vertical average and then multiply by ϱ(1)ε,M: since m>1, we gather

    εmϱ(1)ε,MtVhε,M=ϱ(1)ε,Mhϱ(1)ε,Mεm1ϱ(1)ε,MVhε,M+εmϱ(1)ε,Mfhε,M+ε2(mn)ϱ(1)ε,Mghε,M=εm1ϱ(1)ε,MVhε,M+Rε,M,

    where we have repeatedly exploited the properties proved in Proposition 4.2 and we have included in the remainder term also the perfect gradient. Inserting this relation into (4.14) yields

    T1ε,M=(curlhVhε,Mεm1ϱ(1)ε,M)Vhε,M+Rε,M.

    Observe that the first term appearing in the right-hand side of the previous relation is bilinear. Thus, in order to pass to the limit in it, one needs some strong convergence property. As a matter of fact, in the next computations we will work on the regularised wave system (4.8) to show that the quantity

    γε,M:=curlhVhε,Mεm1ϱ(1)ε,M

    is compact in some suitable space. In particular, as m>1, also curlhVhε,M is compact.

    In order to see this, we write the vertical average of the first equation in (4.8) as

    ε2m1tϱ(1)ε,M+εm1divhVhε,M=0.

    Next, we take the vertical average of the horizontal components of the second equation in (4.8) and then apply curlh: we obtain

    εmtcurlhVhε,M+εm1divhVhε,M=εmcurlhfhε,M+ε2(mn)curlhghε,M.

    At this point, we recall the definition (4.3) of gε, and we see that curlhghε,M0. This property is absolutely fundamental, since it allows to erase the last term in the previous relation, which otherwise would have represented an obstacle to get compactness of the γε,M's. Indeed, thanks to this observation, we can sum up the last two equations to get

    tγε,M=curlhfhε,M. (4.15)

    Using estimate (4.9) in Proposition 4.2, we discover that, for any M>0 fixed, the family (tγε,M)ε is uniformly bounded (with respect to ε) in e.g., the space L2T(L2). On the other hand, we have that, again for any M>0 fixed, the sequence (γε,M)ε is uniformly bounded (with respect to ε) e.g. in the space L2T(H1). Since the embedding H1locL2loc is compact, the Aubin-Lions Lemma implies that, for any M>0 fixed, the family (γε,M)ε is compact in L2T(L2loc). Then, up to extraction of a suitable subsequence (not relabelled here), that family converges strongly to a tempered distribution γM in the same space.

    Now, we have that γε,M converges strongly to γM in L2T(L2loc) and Vhε,M converges weakly to VhM in L2T(L2loc) (owing to Proposition 4.3, for instance). Then, we deduce that

    γε,MVhε,MγMVhMinD(R+×R2).

    Observe that, by definition of γε,M, we must have γM=curlhVhM. On the other hand, owing to Proposition 4.3 and (4.10), we know that VhM=SMUh. Therefore, in the end we have proved that, for m>1 and m+12n>m, one has the convergence (at any MN fixed, when ε0+)

    T0R2T1ε,MψhdxhdtT0R2curlhSMUhSM(Uh)ψhdxhdt, (4.16)

    for any T>0 and for any test-function ψ as in (4.12).

    We now focus on the term T2ε,M, defined in (4.13). Recall that m>1. In what follows, we consider separately the two cases m+1>2n and m+1=2n. As a matter of fact, in the case when m+1=2n, a bilinear term involving gε,M has no power of ε in front of it, so it is not clear that it converges to 0; in fact, it might persist in the limit, giving rise to an additional term in the target system. To overcome this issue and show that this actually does not happen, we deeply exploit the structure of the wave system to recover a quantitative smallness for that term (namely, in terms of positive powers of ε).

    The case m+1>2n

    Starting from the definition of T2ε,M, the same computations as above yield

    T2ε,M=divh(˜Vhε,M)˜Vhε,M+12h|˜Vhε,M|2+curlh˜Vhε,M(˜Vhε,M). (4.17)

    Let us now introduce the quantities

    ˜Φhε,M:=(˜Vhε,M)13h˜V3ε,M and ˜ω3ε,M:=curlh˜Vhε,M.

    Then we can write

    (curl˜Vε,M)h=3˜Φhε,Mand(curl˜Vε,M)3=˜ω3ε,M.

    In addition, from the momentum equation in (4.8), where we take the mean-free part and then the curl, we deduce the equations

    {εmt˜Φhε,Mεm1˜Vhε,M=εm(13curl˜fε,M)h+ε2(mn)(13curl˜gε,M)hεmt˜ω3ε,M+εm1divh˜Vhε,M=εmcurlh˜fhε,M. (4.18)

    Making use of the relations above, recalling the definitions in (4.3), and thanks to Propositions 4.2 and 4.3, we can write

    curlh˜Vhε,M(˜Vhε,M)=˜ω3ε,M(˜Vhε,M)=εt(˜Φhε,M)˜ω3ε,Mε˜ω3ε,M((13curl˜fε,M)h)εm+12n˜ω3ε,M((13curl˜gε,M)h)=ε(˜Φhε,M)t˜ω3ε,M+Rε,M=(˜Φhε,M)divh˜Vhε,M+Rε,M, (4.19)

    where, again, the equalities hold in the sense of distributions. We point out that, thanks to the scaling m+1>2n, we could include in the remainder also the last term appearing in the second equality, which was of order O(εm+12n).

    Hence, putting the gradient term into Rε,M, from (4.17) we arrive at

    T2ε,M=divh˜Vhε,M(˜Vhε,M+(˜Φhε,M))+Rε,M=div˜Vε,M(˜Vhε,M+(˜Φhε,M))3˜V3ε,M(˜Vhε,M+(˜Φhε,M))+Rε,M. (4.20)

    At this point, the computations mainly follow the same lines of [15] (see also [7,11]). First of all, we notice that (in the last line) the second term on the right-hand side is another remainder. Indeed, using the definition of the function ˜Φhε,M and the fact that the test function ψ does not depend on x3, one has

    3˜V3ε,M(˜Vhε,M+(˜Φhε,M))=3(˜V3ε,M(˜Vhε,M+(˜Φhε,M)))˜V3ε,M3(˜Vhε,M+(˜Φhε,M))=Rε,M12h|˜V3ε,M|2=Rε,M.

    Next, in order to deal with the first term on the right-hand side of (4.20), we use the oscillating part of the first equation in (4.8) to obtain (in the sense of distributions)

    div˜Vε,M(˜Vhε,M+(˜Φhε,M))=εmt˜ϱ(1)ε,M(˜Vhε,M+(˜Φhε,M))+Rε,M=εm˜ϱ(1)ε,Mt(˜Vhε,M+(˜Φhε,M))+Rε,M.

    Now, the oscillating component of Eqs (4.8) and (4.18) immediately yield that

    εm˜ϱ(1)ε,Mt(˜Vhε,M+(˜Φhε,M))=Rε,M˜ϱ(1)ε,Mh˜ϱ(1)ε,M=Rε,M12h|˜ϱ(1)ε,M|2=Rε,M.

    This relation finally implies that T2ε,M=Rε,M is a remainder, in the sense of relation (4.11): for any T>0 and any test-function ψ as in (4.12), one has the convergence (at any MN fixed, when ε0+)

    T0R2T2ε,Mψhdxhdt0. (4.21)

    The case m+1=2n

    In the case m+1=2n, most of the previous computations may be reproduced exactly in the same way. The only (fundamental) change concerns relation (4.19): since now m+12n=0, that equation now reads

    curlh˜Vhε,M(˜Vhε,M)=(˜Φhε,M)divh˜Vhε,M˜ω3ε,M((13curl˜gε,M)h)+Rε,M, (4.22)

    and, repeating the same computations performed for T2ε,M in the previous paragraph, we have

    T2ε,M=Rε,M˜ω3ε,M((13curl˜gε,M)h).

    Hence, the main difference with respect to the previous case is that, now, we have to take care of the term ˜ω3ε,M((13curl˜gε,M)h), which is non-linear and of order O(1), so it may potentially give rise to oscillations which persist in the limit.

    In order to show that this does not happen, we make use of definition (4.3) of gε to compute

    (curl˜gε,M)h,=(curl(˜ϱ(1)ε,MxGx˜Πε,M))h,=(2˜ϱ(1)ε,M1˜ϱ(1)ε,M0)h,=h˜ϱ(1)ε,M.

    From this relation, in turn we get

    T2ε,M=Rε,M+˜ω3ε,M13h˜ϱ(1)ε,M. (4.23)

    Now, we have to employ the potential part of the momentum equation in (4.8), which has not been used so far. Taking the oscillating component of the solutions, we obtain

    h˜ϱ(1)ε,M=εmt˜Vhε,Mεm1(˜Vhε,M)+εm˜fhε,M+ε2(mn)˜ghε,M=εmt˜Vhε,M+Rε,M.

    Inserting this relation into (4.23) and using (4.18), we finally gather

    T2ε,M=εm˜ω3ε,Mt13˜Vhε,M+Rε,M=εmt˜ω3ε,M13˜Vhε,M+Rε,M=Rε,M,

    because we have taken m > 1 .

    This relation finally implies that, also in the case when m+1 = 2n , \mathcal{T}_{ \varepsilon, M}^{2} is a remainder: for any T > 0 and any test-function \boldsymbol{\psi} as in (4.12), one has the convergence (4.21).

    Thanks to the computations of the previous subsection, we can now pass to the limit in Eq (2.16). Recall that m > 1 and m+1\geq 2n > m here.

    To begin with, we take a divergence-free test function \boldsymbol{\psi} as in (4.12), specifically

    \begin{equation} \boldsymbol{{\psi}} = \big(\nabla_{h}^{\perp}\phi, 0\big)\, , \qquad\qquad\mbox{ with }\qquad \phi\in C_c^\infty\big([0, T[\, \times \mathbb{R}^2\big)\, , \quad \phi = \phi(t, x^h)\, . \end{equation} (4.24)

    We point out that, since all the integrals will be made on \mathbb{R}^2 (in view of the choice of the test functions in (4.24) above), we can safely work on the domain \Omega = \mathbb{R}^2\times \, ]0, 1[\, . In addition, for \boldsymbol{\psi} as in (4.24), all the gradient terms vanish identically, as well as all the contributions due to the vertical component of the equation. In particular, we do not see any contribution of the pressure and gravity terms: Eq (2.16) becomes

    \begin{aligned} \int_{0}^{T} \int_{\Omega}\left(-\varrho_{\varepsilon} \boldsymbol{u}_{\varepsilon}^{h} \cdot \partial_{t} \boldsymbol{\psi}^{h}-\varrho_{\varepsilon} \boldsymbol{u}_{\varepsilon}^{h} \otimes \boldsymbol{u}_{\varepsilon}^{h}: \nabla_{h} \boldsymbol{\psi}^{h}+\frac{1}{\varepsilon} \varrho_{\varepsilon}\left(\boldsymbol{u}_{\varepsilon}^{h}\right)^{\perp} \cdot \psi^{h}\right) d x d t \\ = -\int_{0}^{T} \int_{\Omega} \mathbb{S}\left(\nabla_{x} \boldsymbol{u}_{\varepsilon}\right): \nabla_{x} \boldsymbol{\psi} d x d t+\int_{\Omega} \varrho_{0, \varepsilon} \boldsymbol{u}_{0, \varepsilon} \cdot \boldsymbol{\psi}(0, \cdot) d x \end{aligned} (4.25)

    Making use of the uniform bounds of Section 3.1, we can pass to the limit in the {\partial}_t term and in the viscosity term. Moreover, our assumptions imply that \varrho_{0, \varepsilon}\boldsymbol{{u}}_{0, \varepsilon}\rightharpoonup \boldsymbol{{u}}_0 in e.g., L_{\rm{loc}}^2 . Next, the Coriolis term can be dealt with in a standard way: using the structure of \boldsymbol{\psi} and the mass equation (2.15), we can write

    \begin{align*} \int_0^T\!\!\!\int_{\Omega}\frac{1}{ \varepsilon} \varrho_\varepsilon\big( \boldsymbol{{u}}_\varepsilon^{h}\big)^\perp\cdot\boldsymbol{\psi}^h\, & = \, \int_0^T\!\!\!\int_{ \mathbb{R}^2}\frac{1}{ \varepsilon}\langle \varrho_\varepsilon \boldsymbol{{u}}_\varepsilon^{h}\rangle \cdot \nabla_{h}\phi\, = \, - \varepsilon^{m-1}\int_0^T\!\!\!\int_{ \mathbb{R}^2}\langle \varrho^{(1)}_ \varepsilon\rangle\, {\partial}_t\phi\, -\, \varepsilon^{m-1}\int_{ \mathbb{R}^2}\langle \varrho^{(1)}_{0, \varepsilon}\rangle\, \phi(0, \cdot )\, , \end{align*}

    which of course converges to 0 when \varepsilon \rightarrow0^+ .

    It remains us to tackle the convective term \varrho_ \varepsilon \boldsymbol{{u}}_\varepsilon^h \otimes \boldsymbol{{u}}_\varepsilon^h . For it, we take advantage of Lemma 4.4 and relations (4.16) and (4.21), but

    we still have to take care of the convergence for M \rightarrow+\infty in (4.16). We start by performing equalities (4.14) backwards in the term on the right-hand side of (4.16): thus, we have to pass to the limit for M \rightarrow+\infty in

    \int^T_0\int_{ \mathbb{R}^2}\boldsymbol{U_M}^h\otimes\boldsymbol{U_M}^h : \nabla_h \boldsymbol{\psi}^h\, \, {{\rm{d}}}x^h\, \, {{\rm{d}}}t\, .

    Now, we remark that, since \boldsymbol{U}^h\in L^2_T(H^1) by (3.7), from (A.2) we gather the strong convergence S_M \boldsymbol{U}^h\longrightarrow \boldsymbol{{U}}^{h} in L_{T}^{2}(H^{s}) for any s < 1 , in the limit for M\rightarrow +\infty . Then, passing to the limit for M \rightarrow+\infty in the previous relation is an easy task: we finally get that, for \varepsilon \rightarrow0^+ , one has

    \begin{equation*} \int_0^T\int_{\Omega} \varrho_\varepsilon \boldsymbol{{u}}_\varepsilon^h\otimes \boldsymbol{{u}}_\varepsilon^h : \nabla_h \boldsymbol{\psi}^h\, \longrightarrow\, \int_0^T\int_{ \mathbb{R}^2}\boldsymbol{{U}}^h\otimes\boldsymbol{{U}}^h : \nabla_h \boldsymbol{\psi}^h\, . \end{equation*}

    In the end, we have shown that, letting \varepsilon \rightarrow 0^+ in (4.25), one obtains

    \begin{align*} &\int_0^T\!\!\!\int_{ \mathbb{R}^2} \left(\boldsymbol{{U}}^{h}\cdot {\partial}_{t}\boldsymbol{\psi}^h+\boldsymbol{{U}}^{h}\otimes \boldsymbol{{U}}^{h}:\nabla_{h}\boldsymbol{\psi}^h\right)\, dx^h\, dt = \int_0^T\!\!\!\int_{ \mathbb{R}^2} \mu \nabla_{h}\boldsymbol{{U}}^{h}:\nabla_{h}\boldsymbol{\psi}^h \, dx^h\, dt- \int_{ \mathbb{R}^2} \langle\boldsymbol{{u}}_{0}^{h} \rangle\cdot \boldsymbol{\psi}^h(0, \cdot)\, dx^h\, , \end{align*}

    for any test function \boldsymbol{\psi} as in (4.12). This implies (2.19), concluding the proof of Theorem 2.5.

    In the present section, we complete the proof of the convergence in the case m = 1 and 1/2 < n < 1 . We will use again the compensated compactness argument depicted in Section 4.2, and in fact most of the computations apply also in this case.

    When m = 1 , the wave system (4.4) takes the form

    \begin{equation} \left\{\begin{array}{l} \varepsilon\, {\partial}_t \varrho_ \varepsilon^{(1)}\, +\, {{{\rm{div}}}}\, \boldsymbol{{V}}_ \varepsilon\, = \, 0 \\[1ex] \varepsilon\, {\partial}_t\boldsymbol{{V}}_ \varepsilon\, +\, \nabla_x \varrho^{(1)}_ \varepsilon\, +\, \, \boldsymbol{{e}}_3\times \boldsymbol{V}_ \varepsilon\, = \, \varepsilon\, \boldsymbol{f}_ \varepsilon+ \varepsilon^{2(1-n)}\boldsymbol{g}_ \varepsilon\, , \end{array} \right. \end{equation} (5.1)

    where \bigl(\varrho^{(1)}_ \varepsilon\bigr)_ \varepsilon and \bigl(\boldsymbol{V}_ \varepsilon\bigr)_ \varepsilon are defined as in Section 4.1.1. This system is supplemented with the initial datum \big(\varrho^{(1)}_{0, \varepsilon}, \varrho_{0, \varepsilon}\boldsymbol{u}_{0, \varepsilon}\big) .

    Next, we regularise all the quantities, by applying the Littlewood-Paley cut-off operator S_M to (5.1): we deduce that \varrho^{(1)}_{ \varepsilon, M} and \boldsymbol{V}_{ \varepsilon, M} , defined as in (4.6), satisfy the regularised wave system

    \begin{equation} \left\{\begin{array}{l} \varepsilon\, {\partial}_t \varrho_{ \varepsilon, M}^{(1)}\, +\, {{{\rm{div}}}}\, \boldsymbol{{V}}_{ \varepsilon, M}\, = \, 0 \\[1ex] \varepsilon\, {\partial}_t\boldsymbol{{V}}_{ \varepsilon, M}\, +\, \nabla_x \varrho^{(1)}_{ \varepsilon, M}\, +\, \, \boldsymbol{{e}}_3\times \boldsymbol{V}_{ \varepsilon, M}\, = \, \varepsilon\, \boldsymbol{f}_{ \varepsilon, M}+ \varepsilon^{2(1-n)}\boldsymbol{g}_{ \varepsilon, M}\, , \end{array} \right. \end{equation} (5.2)

    in the domain \mathbb{R}_+\times\Omega , where we recall that \boldsymbol{f}_{ \varepsilon, M}: = S_M \boldsymbol{f}_ \varepsilon and \boldsymbol{g}_{ \varepsilon, M}: = S_M \boldsymbol{g}_ \varepsilon . It goes without saying that a result similar to Proposition 4.2 holds true also in this case.

    As it is apparent from the wave system (5.1) and its regularised version, when m = 1 the pressure term and the Coriolis term are in balance, since they are of the same order. This represents the main change with respect to the case m > 1 , and it comes into play in the compensated compactness argument. Therefore, despite most of the computations may be repeated identical as in the previous section, let us present the main points of the argument.

    Let us take care of the convergence of the convective term in the case when m = 1 .

    First of all, it is easy to see that Lemma 4.4 still holds true. Therefore, given a test function \boldsymbol{\psi}\in C_c^\infty\big([0, T[\, \times\Omega; \mathbb{R}^3\big) such that {{{\rm{div}}}}\, \boldsymbol{\psi} = 0 and {\partial}_3\boldsymbol{\psi} = 0 , we have to pass to the limit in the term

    \begin{align*} -\int_{0}^{T}\int_{\Omega} \boldsymbol{{V}}_{ \varepsilon , M}\otimes \boldsymbol{{V}}_{ \varepsilon , M}: \nabla_{x}\boldsymbol{{\psi}}\, & = \, \int_{0}^{T}\int_{\Omega}{{{\rm{div}}}}\, \left(\boldsymbol{{V}}_{ \varepsilon , M}\otimes \boldsymbol{{V}}_{ \varepsilon , M}\right) \cdot \boldsymbol{{\psi}}\, = \, \int_{0}^{T}\int_{ \mathbb{R}^2} \left( \mathcal{T}_{ \varepsilon , M}^{1}+ \mathcal{T}_{ \varepsilon, M}^{2}\right)\cdot\boldsymbol{{\psi}}^h\, , \end{align*}

    where we agree again that the torus \mathbb{T}^1 has been normalised so that its Lebesgue measure is equal to 1 and we have adopted the same notation as in (4.13).

    At this point, we notice that the analysis of \mathcal{T}_{ \varepsilon, M}^{2} can be performed as in Section 4.2.2, because we have m+1 > 2n , i.e., n < 1 . Mutatis mutandis, we find relation (4.21) also in the case m = 1 .

    Let us now deal with the term \mathcal{T}_{ \varepsilon, M}^{1} . Arguing as in Section 4.2.1, we may write it as

    \begin{equation*} \mathcal{T}_{ \varepsilon , M}^{1}\, = \, \left( {{\rm{curl}}}_h\langle \boldsymbol{{V}}_{ \varepsilon , M}^{h}\rangle-\langle \varrho^{(1)}_{ \varepsilon , M}\rangle \right)\langle \boldsymbol{{V}}_{ \varepsilon , M}^{h}\rangle^{\perp}+ \mathcal{R}_{ \varepsilon , M} . \end{equation*}

    Now we use the horizontal part of (5.2): averaging it with respect to the vertical variable and applying the operator {{\rm{curl}}}_h , we find

    \begin{equation*} \varepsilon\, {\partial}_t {{\rm{curl}}}_h\langle \boldsymbol{{V}}_{ \varepsilon , M}^{h}\rangle\, +\, {{\rm{div}}}_h\langle \boldsymbol{{V}}_{ \varepsilon , M}^{h}\rangle \, = \, \varepsilon\, {{\rm{curl}}}_h\langle \boldsymbol{f}_{ \varepsilon , M}^{h}\rangle\, . \end{equation*}

    Taking the difference of this equation with the first one in (5.2), we discover that

    \begin{equation*} {\partial}_t \widetilde \gamma_{ \varepsilon, M} \, = \, {{\rm{curl}}}_h\langle \boldsymbol{f}_{ \varepsilon , M}^{h}\rangle\, , \qquad\qquad \mbox{ where }\qquad \widetilde\gamma_{ \varepsilon, M}: = {{\rm{curl}}}_h\langle \boldsymbol{{V}}_{ \varepsilon , M}^{h}\rangle\, -\, \langle \varrho^{(1)}_{ \varepsilon , M}\rangle\, . \end{equation*}

    An argument analogous to the one used after (4.15) above, based on Aubin-Lions Lemma, shows that \big(\widetilde\gamma_{ \varepsilon, M}\big)_{ \varepsilon} is compact in e.g., L_{T}^{2}(L_{\rm{loc}}^{2}) . Then, this sequence converges strongly (up to extraction of a suitable subsequence, not relabelled here) to a tempered distribution \widetilde\gamma_M in the same space.

    Using the previous property, we may deduce that

    \begin{equation*} \widetilde\gamma_{ \varepsilon, M}\, \langle \boldsymbol{{V}}_{ \varepsilon , M}^{h}\rangle^{\perp}\, \longrightarrow\, \widetilde\gamma_M\, \langle \boldsymbol{{V}}_{M}^{h}\rangle^{\perp}\qquad \rm{ in }\qquad \mathcal{D}^{\prime}\big( \mathbb{R}_+\times \mathbb{R}^2\big), \end{equation*}

    where we have \langle \boldsymbol{{V}}_{M}^{h}\rangle = \langle S_M\boldsymbol{{U}}^{h} \rangle and \widetilde\gamma_M = {{\rm{curl}}}_h \langle S_M \boldsymbol{{U}}^{h} \rangle-\langle \varrho^{(1)}_{M}\rangle .

    Owing to the regularity of the target velocity \boldsymbol{U}^h , we can pass to the limit also for M \rightarrow+\infty , as detailed in Section 4.3 above. Thus, we find

    \begin{equation} \int^T_0\!\!\!\int_{\Omega} \varrho_ \varepsilon\, \boldsymbol{{u}}_ \varepsilon\otimes \boldsymbol{{u}}_ \varepsilon: \nabla_{x}\boldsymbol{{\psi}}\, dx \, dt\, \longrightarrow\, \int^T_0\!\!\!\int_{ \mathbb{R}^2}\big(\boldsymbol{U}^h\otimes\boldsymbol{U}^h:\nabla_h\boldsymbol{\psi}^h\, -\, \varrho^{(1)}\, (\boldsymbol{U}^h)^\perp\cdot\boldsymbol{\psi}^h\big)\, dx^h\, dt, \end{equation} (5.3)

    for all test functions \boldsymbol{\psi} such that {{{\rm{div}}}}\, \boldsymbol{\psi} = 0 and {\partial}_3\boldsymbol{\psi} = 0 . Recall the convention | \mathbb{T}^1| = 1 . Notice that, since \boldsymbol{U}^h = \nabla_h^\perp \varrho^{(1)} when m = 1 (keep in mind Proposition 3.5), the last term in the integral on the right-hand side is actually zero.

    Thanks to the previous analysis, we are now ready to pass to the limit in Eq (2.16). For this, we take a test-function \boldsymbol{\psi} as in (4.24); notice in particular that {{{\rm{div}}}}\, \boldsymbol{\psi} = 0 and {\partial}_3\boldsymbol{\psi} = 0 . Then, once again all the gradient terms and all the contributions coming from the vertical component of the momentum equation vanish identically, when tested against such a \boldsymbol{\psi} . Recall that all the integrals will be performed in \mathbb{R}^2 . So, Eq (2.16) reduces to

    \int_{0}^{T} \int_{\Omega}\left(-\varrho_{\varepsilon} \boldsymbol{u}_{\varepsilon} \cdot \partial_{t} \boldsymbol{\psi}-\varrho_{\varepsilon} \boldsymbol{u}_{\varepsilon} \otimes \boldsymbol{u}_{\varepsilon}: \nabla \boldsymbol{\psi}+\frac{1}{\varepsilon} \varrho_{\varepsilon}\left(\boldsymbol{u}_{\varepsilon}^{h}\right)^{\perp} \cdot \boldsymbol{\psi}^{h}+\mathbb{S}\left(\nabla_{x} \boldsymbol{u}_{\varepsilon}\right): \nabla_{x} \boldsymbol{\psi}\right) = \int_{\Omega} \varrho_{0, \varepsilon} \boldsymbol{u}_{0, \varepsilon} \cdot \boldsymbol{\psi}(0, \cdot)

    For the rotation term, we can test the first equation in (5.1) against \phi to get

    \begin{equation*} \begin{split} -\int_0^T\!\!\!\int_{ \mathbb{R}^2} \left( \langle \varrho^{(1)}_{\varepsilon} \rangle\, {\partial}_{t}\phi +\frac{1}{ \varepsilon}\, \langle \varrho_{ \varepsilon} \boldsymbol{{u}}_\varepsilon^{h} \rangle\cdot \nabla_{h}\phi\right) = \int_{ \mathbb{R}^2} \langle \varrho^{(1)}_{0, \varepsilon } \rangle\, \phi (0, \cdot ) \, , \end{split} \end{equation*}

    whence we deduce that

    \begin{align*} \int_0^T\!\!\!\int_{\Omega}\frac{1}{ \varepsilon} \varrho_\varepsilon\big( \boldsymbol{{u}}_\varepsilon^{h}\big)^\perp\cdot\boldsymbol{\psi}^h\, & = \, \int_0^T\!\!\!\int_{ \mathbb{R}^2}\frac{1}{ \varepsilon}\langle \varrho_\varepsilon \boldsymbol{{u}}_\varepsilon^{h}\rangle \cdot \nabla_{h}\phi\, = \, -\, \int_0^T\!\!\!\int_{ \mathbb{R}^2}\langle \varrho^{(1)}_ \varepsilon\rangle\, {\partial}_t\phi\, -\, \int_{ \mathbb{R}^2}\langle \varrho^{(1)}_{0, \varepsilon}\rangle\, \phi(0, \cdot )\, . \end{align*}

    In addition, the convergence of the convective term has been performed in (5.3). As for other terms, we can argue as in Section 4.3. Hence, letting \varepsilon \rightarrow 0^+ in the equation above, we get

    \begin{align*} &-\int_0^T\!\!\!\int_{ \mathbb{R}^2} \left(\boldsymbol{{U}}^{h}\cdot {\partial}_{t}\nabla_{h}^{\perp} \phi+ \boldsymbol{{U}}^{h}\otimes \boldsymbol{{U}}^{h}:\nabla_{h}(\nabla_{h}^{\perp}\phi )+ \varrho^{(1)}\, {\partial}_t \phi \right)\, dx^h\, dt\\ &\qquad\qquad = -\int_0^T\!\!\!\int_{ \mathbb{R}^2} \mu \nabla_{h}\boldsymbol{{U}}^{h}:\nabla_{h}(\nabla_{h}^{\perp}\phi ) \, dx^h\, dt+\int_{ \mathbb{R}^2}\left( \langle\boldsymbol{{u}}_{0}^{h} \rangle\cdot \nabla _{h}^{\perp}\phi (0, \cdot )+ \langle \varrho^{(1)}_{0} \rangle\phi (0, \cdot )\right) \, dx^h\, , \end{align*}

    which is the weak formulation of Eq (2.20). In the end, also Theorem 2.5 is proved.

    The authors express their gratitude to the anonymous referee for the instructive comments, which helped them in improving the presentation and clarity of the paper.

    The work of the second and third authors has been partially supported by the project CRISIS (ANR-20-CE40-0020-01), operated by the French National Research Agency (ANR). The last author is supported by (Polish) National Center of Science grant 2020/38/E/ST1/00469.

    The first and the third authors are members of the Italian Institute for Advanced Mathematics (INdAM) group.

    The authors have no conflict of interest.

    Let us present some tools from Littlewood-Paley theory, which we have exploited in our analysis. We refer e.g., to Chapter 2 of [1] for details. For simplicity of exposition, we deal with the \mathbb{R}^d case, with d\geq1 ; however, the whole construction can be adapted also to the d -dimensional torus \mathbb{T}^d , and to the "hybrid" case \mathbb{R}^{d_1}\times\mathbb{T}^{d_2} .

    First of all, we introduce the so-called Littlewood-Paley decomposition. We fix a smooth radial function \chi such that {\rm{Supp}}\chi\subset B(0, 2) , \chi\equiv 1 in a neighborhood of B(0, 1) and the map r\mapsto\chi(r\, e) is non-increasing over \mathbb{R}_+ for all unitary vectors e\in\mathbb{R}^d . Set \varphi\left(\xi\right) = \chi\left(\xi\right)-\chi\left(2\xi\right) and \varphi_j(\xi): = \varphi (2^{-j}\xi) for all j\geq0 . The dyadic blocks (\Delta_j)_{j\in\mathbb{Z}} are defined by

    * We agree that f(D) stands for the pseudo-differential operator u\mapsto\mathcal{F}^{-1}[f(\xi)\, \widehat u(\xi)] .

    \Delta_j\, : = \, 0\quad\mbox{ if }\; j\leq-2, \qquad\Delta_{-1}\, : = \, \chi(D)\quad {\rm{ and} }\quad \Delta_j\, : = \, \varphi(2^{-j}D)\quad \mbox{ if }\; j\geq0\, .

    For any j\geq0 fixed, we also introduce the low frequency cut-off operator

    \begin{equation} S_j\, : = \, \chi(2^{-j}D)\, = \, \sum\limits_{k\leq j-1}\Delta_{k}\, . \end{equation} (A.1)

    Note that S_j is a convolution operator. More precisely, after defining

    K_0\, : = \, \mathcal{F}^{-1}\chi\qquad\quad {\rm{ and} }\quad\qquad K_j(x)\, : = \, \mathcal{F}^{-1}[\chi (2^{-j}\cdot)] (x) = 2^{jd}K_0(2^j x)\, ,

    for all j\in\mathbb{N} and all tempered distributions u\in\mathcal{S}' we have that S_ju\, = \, K_j\, *\, u . Thus the L^1 norm of K_j is independent of j\geq0 . This implies that S_j maps continuously L^p into itself, for any 1 \leq p \leq +\infty .

    Moreover, the following property holds true: for any u\in\mathcal{S}' , then one has the equality u = \sum_{j}\Delta_ju in the sense of \mathcal{S}' . Let us also recall the so-called Bernstein inequalities.

    Lemma A.1. Let 0 < r < R . A constant C exists so that, for any non-negative integer k , any couple (p, q) in [1, +\infty]^2 , with p\leq q , and any function u\in L^p , we have, for all \lambda > 0 ,

    \displaylines{ {{\rm{Supp}}}\, \widehat u \subset B(0, \lambda R)\quad \Longrightarrow\quad \|\nabla^k u\|_{L^q}\, \leq\, C^{k+1}\, \lambda^{k+d\left(\frac{1}{p}-\frac{1}{q}\right)}\, \|u\|_{L^p}\;;\cr {{\rm{Supp}}}\, \widehat u \subset \{\xi\in\mathbb{R}^d\, :\, \lambda r\leq|\xi|\leq \lambda R\} \quad\Longrightarrow\quad C^{-k-1}\, \lambda^k\|u\|_{L^p}\, \leq\, \|\nabla^k u\|_{L^p}\, \leq\, C^{k+1} \, \lambda^k\|u\|_{L^p}\, . }

    By use of Littlewood-Paley decomposition, we can define the class of Besov spaces.

    Definition A.2. Let s\in\mathbb{R} and 1\leq p, r\leq+\infty . The non-homogeneous Besov space B^{s}_{p, r} is defined as the subset of tempered distributions u for which

    \|u\|_{B^{s}_{p, r}}\, : = \, \left\|\left(2^{js}\, \|\Delta_ju\|_{L^p}\right)_{j\geq -1}\right\|_{\ell^r}\, < \, +\infty\, .

    Besov spaces are interpolation spaces between Sobolev spaces. In fact, for any k\in\mathbb{N} and p\in[1, +\infty] we have the chain of continuous embeddings B^k_{p, 1}\hookrightarrow W^{k, p}\hookrightarrow B^k_{p, \infty} ,

    which, in the case when 1 < p < +\infty , can be refined to B^k_{p, \min (p, 2)}\hookrightarrow W^{k, p}\hookrightarrow B^k_{p, \max(p, 2)} . In particular, for all s\in\mathbb{R} we deduce that B^s_{2, 2}\equiv H^s , with equivalence of norms:

    \begin{equation} \|f\|_{H^s}\, \sim\, \left(\sum\limits_{j\geq-1}2^{2 j s}\, \|\Delta_jf\|^2_{L^2}\right)^{\!\!1/2}\, . \end{equation} (A.2)

    Observe that, from that equivalence, we easily get the following property: for any f\in H^s and any j\in \mathbb{N} , one has

    \begin{equation} \left\|\big({\rm{Id}}-S_j\big)f\right\|_{H^\sigma}\, \leq\, C\, \|\nabla f\|_{H^{s-1}}\, 2^{-j(s-\sigma )} \qquad {\rm{ for\;all }}\quad \sigma\leq s\, , \end{equation} (A.3)

    where C > 0 is a "universal" constant, independent of f , j , s and \sigma . This inequality has been repeatedly used in our computations.



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