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S E M I N A I R E

E quations aux

D ´e r i v ´e e s

P a r t i e l l e s

2005-2006

Jean-Yves Chemin and Ping Zhang

The role of oscillations in the global wellposedness of the 3-D incompressible anisotropic Navier-Stokes equations

Séminaire É. D. P.(2005-2006), Exposé noVIII, 18 p.

<http://sedp.cedram.org/item?id=SEDP_2005-2006____A8_0>

U.M.R. 7640 du C.N.R.S.

F-91128 PALAISEAU CEDEX Fax : 33 (0)1 69 33 49 49 Tél : 33 (0)1 69 33 49 99

cedram

Article mis en ligne dans le cadre du

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The role of oscillations in the global wellposedness of the 3-D incompressible anisotropic Navier-Stokes equations

Jean-Yves CHEMIN and Ping ZHANG

Laboratoire J.-L. Lions, Case 187

Universit´e Pierre et Marie Curie, 75230 Paris Cedex 05, FRANCE chemin@ann.jussieu.fr

Academy of Mathematics & Systems Science, CAS Beijing 100080, CHINA.

E-mail: zp@amss.ac.cn

April 14, 2006

Abstract

Corresponding to the wellposedness result [2] for the classical 3-D Navier-Stokes equa- tions (N Sν) with initial data in the scaling invariant Besov space, B1+

3

p,∞p, here we con- sider a similar problem for the 3-D anisotropic Navier-Stokes equations (AN Sν), where the vertical viscosity is zero. In order to do so, we first introduce the Besov-Sobolev type spaces,B

1 2,12

4 andB

1 2,12

4 (T).Then with initial data in the scaling invariant spaceB

1 2,12

4 ,

we prove the global wellposedness for (AN Sν) provided the norm of initial data is small enough compared to the horizontal viscosity. In particular, this result implies the global wellposedness of (AN Sν) with high oscillatory initial data (1.2).

1 Introduction

1.1 Introduction to the anisotropic Navier-Stokes equations

Let us first recall the classical (isotropic) Navier-Stokes system for incompressible fluids in the whole space:

(N Sν)



tu+u· ∇u−ν∆u=−∇p, divu= 0,

u|t=0 =u0,

whereu(t, x) denote the velocity,p(t, x) the pressure andx= (xh, x3) a point ofR3 =R2×R.

In this text, we are going to study a version of the system (N Sν) where the usual Laplacian is substituted by the Laplacian in the horizontal variables, namely

(AN Sν)



tu+u· ∇u−ν∆hu=−∇p, divu= 0,

u|t=0 =u0.

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Systems of this type appear in geophysical fluids (see for instance [5]). It has been studied first by J.-Y. Chemin, B. Desjardins, I. Gallagher and E. Grenier in [6] and D. Iftimie in [10]

where it is proved that (AN Sν) is locally wellposed for initial data in the anisotropic space H0,12def= n

u∈L2(R3)/ kuk2˙

H12 +ε def=

Z

R33|1+2ε|u(ξˆ h, ξ3)|2dξ <+∞o ,

for someε >0.Moreover, it is also proved that small enough datau0 is in the sense that ku0kεL2ku0k1−ε˙

H0,12 +ε ≤cν (1.1)

for some sufficiently small constant c, then we have a global wellposedness result. Let us notice that the space in which uniqueness is proved is the space of continuous functions with value in H0,12 and the horizontal gradient of which belongs to L2([0, T];H0,12).

Let us observe that, as classical Navier-Stokes system, the system (AN Sν) has a scaling.

Indeed, if u is a solution of (AN Sν) on a time interval [0, T] with initial data u0, then the vector field uλ defined by uλ(t, x) def= λu(λ2t, λx) is also a solution of (AN Sν) on the time interval [0, λ−2T] with the initial data λu0(λx). The smallness condition (1.1) is of course scaling invariant. But the norm k · kH˙0,1

2 +ε is not and this norm determines the level of regularity required to have wellposedness.

For classical Navier-Stokes system a lot of results of global wellposedness in scaling in- variant space are available. The first one is the theorem of Fujita-Kato (see [9]) in which it is proved that the system (N Sν) is globally wellposed for small initial data in the Sobolev space ˙H12 which is the space of tempered distributions u such that

kuk2˙

H12 def=

Z

R3|ξ| |bu(ξ)|2dξ <∞.

M. Paicu proved in [12] a theorem of the same type for the system (AN Sν) in the case when the initial data u0 belongs to the scaling invariant spaceB0,12 (see Definition 1.2 below).

On the other hand, the classical isotropic system (N Sν), is globally wellposed for small initial data in Besov norms of negative index. Let us first recall the definition of the Besov norms of negative index.

Definition 1.1 Let f be inS0(R3). Then we state, for positive s, and for (p, q) in[1,∞]2, kfkB˙p,q−s

def=

kts2et∆fkLp

Lq(R+,dtt).

In [2], M. Cannone, Y. Meyer and F. Planchon proved that, if the initial data satisfies, for some p greater than 3, ku0k

B˙

1+ 3p p,∞

≤ cν for some constant c small enough, then the incompressible Navier-Stokes system is globally wellposed. Let us mention that H. Koch and D. Tataru generalized this theorem to the∂BM O norm (see [11]).

In particular, this theorem implies that, for any functionφin the Schwartz space S(R3), if we consider the family of initial datauε0 defined by

uε0(x) = sinx1

ε

(0,−∂3φ, ∂2φ,), (1.2) the system (N Sν) is globally wellposed for such initial data whenεis small enough. The goal here is to prove the same for the anisotropic Navier-Stokes system (AN Sν).

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1.2 Statement of the results

Let us begin by the definition of the spaces we are going to work with. It requires an anisotropic version of dyadic decomposition of the Fourier space, let us first recall the following operators of localization in Fourier space, for (k, `)∈Z2,

hka=F−1(ϕ(2−kh|)ba), and ∆v`a=F−1(ϕ(2−`3|)ba), Shka= X

k0≤k−1

hk0a, and S`va= X

`0≤`−1

v`0a, (1.3)

whereFaand badenote the Fourier transform ofa, and ϕa function inDh3 4, 8

3 i

such that

∀τ >0, X

j∈Z

ϕ(2−jτ) = 1.

Before we present the space we are going to work with, let us first recall the Besov-Sobolev type space B0,12 defined by M. Paicu in [12].

Definition 1.2 We denote by B0,12 the space of ainS(R3) such that ba∈L1loc and kakB0,1

2

def= X

`∈Z

2`2k∆v`akL2(R3)<∞.

In [12], M. Paicu proved the global wellposedness of (AN Sν) for small initial data in B0,12 . In order to state Paicu’s Theorem, let us introduce the following space.

Definition 1.3 We denote by B0,12(T) the space of ainC([0, T],B0,12 such that kakB0,1

2(T)

def= X

`∈Z

22`

k∆v`akLT(L2(R3))12k∇hv`akL2T(L2(R3))

<∞. Now let us recall M. Paicu’s theorem.

Theorem 1.1 If u0 ∈ B0,12, then a positive time T exists such that the system(AN Sν) has a unique solution u inB0,12(T). Moreover, a constant c exists such that

ku0kB0,1

2 ≤cν=⇒T = +∞.

Let us note that uε0 defined in (1.2) is not small in this space B0,21 no matter how small the parameterεis. Our motivation to introduce the following spaces is to find a scaling invariant space such that in particular uε0 is small in this space forεsufficient small.

Definition 1.4 We denote by B

1 2,21

4 the space ofa inS0(R3)such that b

a∈L1loc and kak

B4 12,12

def= X

`∈Z

22` X

k=`−1

2−kk∆hkv`ak2L4

h(L2v)

12

+X

j∈Z

2j2kSj−1hvjakL2(R3).

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Definition 1.5 We denote by B4 12,21(T) the space ofainC([0, T],B4 12,12)such that kak

B

12,1 4 2(T)

def= X

`∈Z

22`

X

k=`−1

2−kk∆hkv`ak2L

T(L4h(L2v))

12

12 X

k=`−1

2kk∆hkv`ak2L2

T(L4h(L2v))

12!

+X

j∈Z

22j

kSj−1hvjakLT(L2(R3))12k∇hSj−1hvjakL2T(L2(R3))

. In the following section, we shall use Littlewood-Paley theory to study the inner relations betweenB412,12(T) and B0,12(T). Now, we present the main results of this paper.

Theorem 1.2 A constant c exists such that, ifu0∈ B

1 2,12

4 and ku0k

B

12,1 4 2

≤cν, then, with initial data u0, the system (AN Sν) has a unique global solution u inB

1 2,12 4 (∞).

This theorem can be applied to initial data given by (1.2) thanks to the following proposition, proved in section 2.

Proposition 1.1 Letφ∈ S(R3). Ifφε(x)def= eix1φ(x), thenkφεk

B

−12,1 4 2

=O(ε12).

Classically, a global wellposedness theorem with small data in a space where smooth functions are dense corresponds to a version concerning local wellposedness for large data.

Theorem 1.3 Ifu0 belongs toB421,12, then a positiveT exists such that the system (AN Sν) has a unique solution in the space B

1 2,12 4 (T).

1.3 Structure of the text

This text does not contain all the details of the proofs and we refer to [7] for complete proofs.

The purpose of the second section is to state some results about anisotropic Littlewood-Paley theory which will be of a constant use in what follows.

The third section will be devoted to the proof of the existence of a solution of (AN Sν).

In order to do it, we shall search for a solution of the form u=uF +w with uF

def= eνt∆huhh, uhhdef= X

k≥`−1

hkv`u0 and w∈ B0,12(∞). (1.4) In the last section, we shall prove the uniqueness in the following way. First, we shall establish a regularity theorem claiming that if u ∈ B412,12(T) is a solution of (AN Sν) with initial data in B

1 2,12

4 , then w =u−uF ∈ B0,12(T). Therefore, looking at the equation of w, we shall prove the uniqueness of the solution u in the spaceuF +B0,12(T). Let us point out that the uniqueness result we prove is surprinsingly not a stability result. We should mention that the method introduced by M. Paicu in [12] will play a crucial role in our proof here.

We present only the sketch of the proof and refer to [7] for the details.

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Notations: Let A, B be two operators, we denote [A;B] = AB−BA, the commutator between A and B, a . b, we means that there is a uniform constant C, which may be different on different lines, such that a ≤ Cb. Finally, we denote LrT(Lph(Lqv)) the space Lr([0, T];Lp(Rx1×Rx2;Lq(Rx3))).

2 Some properties of anisotropic Littlewood-Paley theory

As we shall constantly use the anisotropic Littlewood-Paley theory, and in particular aniso- tropic Bernstein inequalities. We list them as the following:

Lemma 2.1 Let Bh (resp. Bv) a ball of R2h (resp. Rv), and Ch (resp. Cv) a ring of R2h (resp. Rv); let 1≤p2 ≤p1≤ ∞and 1≤q2 ≤q1 ≤ ∞.Then there holds:

If the support of bais included in2kBh, then k∂xα

hakLp1

h (Lqv1) .2k

|α|+2

1 p2p1

1

””

kakLp2

h (Lqv1). If the support of bais included in2`Bv, then

k∂3βakLph1(Lqv1) .2`(β+(q12q11))kakLph1(Lqv2). If the support of bais included in2kCh, then

kakLph1(Lqv1).2−kN sup

|α|=Nk∂hαakLph1(Lqv1). If the support of bais included in2kCv, then

kakLph1(Lqv1).2−kNk∂3NakLph1(Lqv1).

Let us state two corollaries of this lemma, the proof of which are obvious and thus omitted.

Corollary 2.1 The space B0,12 is included in B4 12,12 and so is B0,12(T) inB412,12(T) for any positive T. Moreover, the spaceB0,12(T) is included inLT (L2h(Lv )).

Corollary 2.2 If abelongs toB

1 2,12

4 (T), then we have X

`∈Z

22`X

k∈Z

2−kk∆hkv`a(0)k2L4

h(L2v)

12

.ka(0)k

B

12,1 4 2

and X

`∈Z

2`2X

k∈Z

2−kk∆hkv`ak2L

T(L4h(L2v))+ν2kk∆hkv`ak2L2

T(L4h(L2v))

12

.kak

B

−12,1 4 2(T). Proposition 1.1 tells us how large is the difference between the normsk · kB0,1

2 andk · k

B

−12,1 4 2

.

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Proof of Proposition 1.1 By definition of the normk · k

B

12,1 4 2

, we have, as thek · k`2 norm is less than or equal to thek · k`1 norm,

εk

B4 12,12 ≤ X4

j=1

Φ(j)ε with Φ(1)ε def= X

ε2k>1 k≥`−1

2k2`k∆hkv`φεkL4h(L2v),

Φ(2)ε def= X

ε2k≤1 k≥`−1

2k2`k∆hkv`φεkL4h(L2v),

Φ(3)ε def= X

ε2j>1

2j2kSj−1hvjφεkL2 and Φ(4)ε def= X

ε2j≤1

2j2kSj−1hvjφεkL2.

In order to estimate Φ(1)ε , let us notice that Φ(1)ε ≤ X

ε2k>1

2k2 X

`∈Z

2`2 sup

k∈Zk∆hkv`φεkL4h(L2v) ≤ε12 X

`∈Z

2`2sup

k∈Zk∆hkv`φεkL4h(L2v). Using Lemma 2.1, we have, by definition of φε,

sup

k∈Zk∆hkv`φεkL4h(L2v).kφεkL4h(L2v).kφkL4h(L2v). and sup

k∈Zk∆hkv`φεkL4h(L2v).2−`k∂3φεkL4h(L2v) .2−`k∂3φkL4h(L2v). Thus, taking the sum over `≤N and` > N and choosing the best N gives

Φ(1)ε ≤ε12 X

`∈Z

2`2 sup

k∈Zk∆hkv`φεkL4h(L2v)≤ε12kφk

1 2

L4h(L2v)k∂3φk

1 2

L4h(L2v). The estimate of Φ(2)ε uses the oscillations. We have ∆hkv`φε1,εk,`2,εk,` with

φ1,εk,`(x) def= iε∆hkv`(eiyε11φ) and φ2,εk,`(x) def= −iε2kφe2,εk,`(x) with φe2,εk,`(x) def= 22k2`

Z

(∂1eg)(2k(xh−yh))eh(2`(x3−y3))eiyε1φ(y)dy,

where (eg,eh) ∈ S(R2) × S(R) such that Fg(ξe h) = ϕ(e |ξh|) and Feh(ξ3) = ϕ(ξe 3). Using Lemma 2.1, we get

2k2 X

`≤k+1

2`21,εk,`kL4h(L2v) .εsup

`∈Zk∆hkv`(eiyε11φ)kL4h(L2v).ε2k2k∂1φkL2(R3).

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Moreover, we have

2k2 X

`≤k+1

2`22,εk,`kL4h(L2v) ≤ε2k2 X

`∈Z

2`2kφe2,εk,`kL4h(L2v). Using Lemma 2.1, we get

kφe2,εk,`kL4h(L2v).kφkL4h(L2v) and kφe2,εk,`kL4h(L2v).2−`k∂3φkL4h(L2v). Again taking the sum over `≤N and ` > N and choosing the best N, we get

X

`∈Z

2`2kφe2,εk,`kL4h(L2v) .kφkL124

h(L2v)k∂3φkL124 h(L2v). We get that Φ(2)ε ≤Cφε X

ε2k≤1

2k2 ≤Cφε12. The estimates on Φ(3)ε and Φ(4)ε are analogous.

Notations In that follows, we make the convention that (ck)k∈Z (resp. (dj)j∈Z) denotes a generic element of the sphere of`2(Z) (resp.`1(Z)). Moreover, (ck,`)(k,`)∈Z2 denotes a generic element of the sphere of `2(Z2) and (dk,`)(k,`)∈Z2 denotes a generic sequence indexed by Z2 such that X

`∈Z

X

k∈Z

d2k,`12

= 1. Let us notice that we shall often use the following property, the easy proof of which is omitted.

Lemma 2.2 Let αbe a positive real number and N0 an integer. Then we have X

(k,`)∈Z2

`≥j−N0

2−α(`−j)dk,`ck.dj.

The following lemma will be of a frequent use in this work.

Lemma 2.3 For any a∈ B

1 2,12

4 (T), one has

kSkhv`akLT(L4h(L2v))12k∇hSkhv`akL2T(L4h(L2v)).dk,`2k22`2kak

B4 12,12(T) and kSkhakLT(L4h(Lv ))12k∇hSkhakL2T(L4h(Lv )).ck2k2kak

B4 12,12(T).

With Lemma 2.3, we are going to state a result which is very close to Sobolev embedding and will be of a constant use in the existence proof of Theorem 1.2.

Lemma 2.4 The space B4 12,12(T) is included in L4T(L4h(Lv )). More precisely, let a be a function inB

1 2,12

4 (T), then we have k∆vjakL4T(L4h(L2v)). dj

ν142j2kak

B4 12,12(T) and kakL4T(L4h(Lv)) . 1 ν14kak

B−142,12(T).

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Proof of Lemma 2.4 Let us first notice thatk∆vjak2L4

T(L4h(L2v))=k(∆vja)2kL2T(L2h(L1v)). Then using Bony’s decomposition in the horizontal variables, we write

(∆vja)2 =X

k∈Z

Shk−1vja∆hkvja+X

k∈Z

Shk+2vja∆hkvja

These two terms are estimated exactly in the same way. Applying H¨older inequality, we get kSk−1hvja∆hkvjakL2T(L2h(L1v))≤2k2kSk−1hvjakLT(L4h(L2v))2k2k∆hkvjakL2T(L4h(L2v)). Using the first inequality of Lemma 2.3 and Corollary 2.2, we infer

kSk−1hvja∆hkvjakL2T(L2h(L1v)). d2k,j

ν12 2−jkak2

B

−12,1 4 2(T)

. Taking the sum over kand using Lemma 2.2, we deduce

k(∆vja)2kL2T(L2h(L1v)). d2j

ν122−jkak2

B4−12,12(T)

,

which is exactly the first inequality of the lemma. Now, using Lemma 2.1, we have k∆vjakL4T(L4h(Lv)) .2j2k∆vjakL4T(L4h(L2v)).

This proves the whole lemma.

Now let us use Lemma 2.1 to study the free evolution uF to the high horizontal fre- quency part of the initial data u0, as defined in (1.4). In order to do so, let us first recall a lemma from [3] or [4], which describes the action of the semi-group of the heat equation on distributions, the Fourier transform of which are supported in a fixed ring.

Lemma 2.5 Let u0∈ B4 12,12 and uF be as in (1.4), α∈N3,1≤p≤ ∞.Then, there holds k∆hkv`uFkLpT(L4h(L2v)).



 dk,`

ν1p 2k

1 22p

22`ku0k

B4−12,12, for k≥`−1, 0, otherwise.

Moreover, uF belongs to B4 12,12(∞), and we have kuFk

B

−12,1

4 2(∞).ku0k

B

12,1 4 2

.

Proof of Lemma 2.5 The relations (4) and (5) of the proof of Lemma 2.1 of [3] tell us that

hkv`uF(t) = 22kg(t,2k·)?∆hkv`u0 with kg(t,·)kL1(R2)≤Ce−cνt22k. (2.1) Here the convolution must be understood as the convolution on R2. Thus

k∆hkv`uF(t, xh,·)kL2v ≤22k|g(t,2k·)|?k∆hkv`u0(·)kL2v. Using (2.1) and again Lemma 2.1, we get

k∆hkv`uF(t)kL4h(L2v).e−cνt22kk∆hkv`u0kL4h(L2v).e−cνt22kdk,`2k22`2ku0k

B

12,1 4 2

.

By integration, the lemma follows.

Lemma 2.6 Under the assumptions of Lemma 2.5, one has k∆vjuFkL2(R+;Lh(L2v)). dj

√ν2j2ku0k

B4−12,12 and kuFkL2(R+;L(R3)). 1

√νku0k

B4−12,12.

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3 The proof of an existence theorem

The purpose of this section is to prove the following existence theorem.

Theorem 3.1 A sufficiently small constant c exists which satisfies the following property:

ifu0 is in B

1 2,12

4 ,and ku0k

B

12,1 4 2

≤cν, then the system (AN Sν) has a global solution in the space uF +B0,12(∞)where uF is defined in (1.4).

Proof of Theorem 3.1 As announced in the introduction, we shall look for a solution of the form u=uF +w. Let us first establish the equation satisfied byw. Actually by substituting the above formula to (AN Sν), we obtain

(AN S]ν)





tw+w· ∇w−ν∆hw+w· ∇uF +uF · ∇w=−uF · ∇uF − ∇p, divw= 0,

w|t=0 =u`hdef= u0−uhh. Notice that by (1.4), we have u`h=X

j∈Z

Sj−1hvju0. Moreover, there holds

vju`h= X

|j−j0|≤1

Sjh0−1vj0vju0 and thus k∆vju`hkL2 . X

|j−j0|≤1

kSjh0−1vj0u0kL2.

This implies that, if u0 belongs to B

1 2,12

4 , then u`h belongs toB0,12 and ku`hkB0,1

2 .ku0k

B4−12,12. (3.1)

We shall use the classical Friedrichs’ regularization method to construct the approximate solutions to (AN S]ν). For simplicity, we just outline it here (for the details in this context, see [12] or [4]). Let us define the sequence (Pn)n∈N by Pnadef= F−1 1B(0,n)ba

and

(AN S]ν,n)











twn−ν∆hwn+Pn(wn· ∇wn) +Pn(wn· ∇uF,n) +Pn(uF,n· ∇wn)

=−Pn(uF,n· ∇uF,n) +Pn∇∆−1jk

(ujF,n+wnj)(ukF,n+wkn) divwn= 0,

wn|t=0 =Pn(u`h)def= Pn(u0−uhh).

where uF,ndef= (Id−Sjn)uF withjn∼ −log2nand where ∆−1jk is defined precisely by

−1jkadef= F−1(|ξ|−2ξjξkba).

Because of properties of L2 and L1 functions the Fourier transform of which are supported in the ballB(0, n), the system (AN S]ν,n) appears to be an ordinary differential equation in

L2ndef= n

a∈L2(R3)/Supp ba⊂B(0, n)o . This ordinary differential equation is globally wellposed because

d

dtkwn(t)k2L2 ≤CnkuF,n(t)kLkwnk2L2 +CnkuF,n(t)k2L4(L2v)kwn(t)kL2

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and uF,n belongs to L2(R+;L∩L4h(L2v)). We refer to [4] and [12] for the details. Now, the proof of Theorem 3.1 reduces to the following three propositions, which we admit for the time being.

Proposition 3.1 Letu0 be inB

1 2,12

4 , andainB0,21(T). WithuF is defined in (1.4), we have

∀j∈Z, Ij(T)def= Z T

0

vj(uF · ∇uF)|∆vjadt. d2j

ν 2−jku0k2

B4 12,12kakB0,1 2(T). Proposition 3.2 Leta be a divergence free vector inB0,12(T), and b inB0,21(T). Then

∀j∈Z, Jj(T)def= Z T

0

vj(a· ∇uF)|∆vjbdt. d2j

ν 2−jkakB0,1

2(T)ku0k

B

12,1 4 2

kbkB0,1 2(T). Proposition 3.3 Leta be a divergence free vector inB4 12,12(T), and b∈ B0,12(T). Then

∀j∈Z, Fj(T)def= Z T

0

vj(a· ∇b)|∆vjb dt. d2j

ν 2−jkak

B

12,1

4 2(T)kbk2

B0,12(T).

Conclusion of the proof of Theorem 3.1 Notice from (AN S]ν,n) that Pnwn = wn, we apply the operator ∆vj to (AN S]ν,n) and take theL2 inner product of the resulting equation with ∆vjwn to get

d

dtk∆vjwn(t)k2L2+ 2νk∇hvjwn(t)k2L2 =−2(∆vj(wn· ∇wn)|∆vjwn)

−2(∆vj(uF,n· ∇wn)|∆vjwn)−2(∆vj(wn· ∇uF,n)|∆vjwn)−2(∆vj(uF,n· ∇uF,n)|∆vjwn).

By integration the above equation over [0, T],we get 2jk∆vjwnk2LT(L2)+ 2j+1νk∇hvjwnk2L2

T(L2) ≤2jk∆vjwn(0)k2L2 + 2 X4

k=1

Wjk(T) (3.2) with

Wj1(T) def= 2j Z T

0

(∆vj(wn(t)· ∇wn(t))|∆vjwn(t)) dt, Wj2(T) def= 2j

Z T

0

(∆vj(uF,n(t)· ∇wn(t))|∆vjwn(t)) dt, Wj3(T) def= 2j

Z T

0

(∆vj(wn(t)· ∇uF,n(t))|∆vjwn(t)) dt, Wj4(T) def= 2j

Z T

0

(∆vj(uF,n(t)· ∇uF,n(t))|∆vjwn(t)) dt.

Proposition 3.3 applied witha=b=wn together with Corollary 2.1 gives Wj1(T). d2j

ν kwnk3

B0,12(T). (3.3)

Références

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