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E quations aux

D ´e r i v ´e e s

P a r t i e l l e s

2007-2008

Taoufik Hmidi

On the global well-posedness of the Boussinesq system with zero viscosity Séminaire É. D. P.(2007-2008), Exposé noXXIV, 15 p.

<http://sedp.cedram.org/item?id=SEDP_2007-2008____A24_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

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ON THE GLOBAL WELL-POSEDNESS OF THE BOUSSINESQ SYSTEM WITH ZERO VISCOSITY

TAOUFIK HMIDI

(JOINT WORK WITH S. KERAANI)

ABSTRACT. In this paper we prove the global well-posedness of the two-dimensional Boussinesq system with zero viscosity for rough initial data.

1. INTRODUCTION

This paper deals with the global well-posedness for the two-dimensional Boussinesq sys- tem,

(Bν,κ)





tv+v· ∇v−ν∆v+∇π=θe2,

tθ+v· ∇θκ∆θ=0, divv=0,

v|t=0 =v0, θ|t=0 =θ0.

Here,e2 denotes the vector(0, 1),v = (v1,v2)is the velocity field,πthe scalar pressure andθthe temperature. The coefficientsνandκare assumed to be positive;νis called the kinematic viscosity andκthe molecular conductivity.

In the case of strictly positive coefficients ν and κ both velocity and temperature have sufficiently smoothing effects leading to the global well-posedness of smooth solutions.

This was proved by numerous authors in various function spaces (see [4, 9, 15] and the references therein).

Forν>0 andκ=0 the problem of global well-posedness is well understood. In [5], Chae proved global well-posedness for initial data (v0,θ0)lying in Sobolev spaces Hs×Hs, withs>2 ( see also [14]). This result has been recently improved by Keraani and the author [12] to initial data inHs×Hs, withs >0. However we give only a global existence result without uniqueness in the energy spaceL2×L2. In a joint work with Abidi [1], we prove the uniqueness for data belonging toL2B1,1×B2,10 . More recently Danchin and Paicu [8] have proved the uniqueness in the energy space.

Our goal here is to study the global well-posedness of the system(B0,κ), withκ>0. First of all, let us recall that the two-dimensional incompressible Euler system, corresponding to θ0 = 0, is globally well-posed in the Sobolev spaceHs, with s > 2. This is due to the advection of the vorticity by the flow: there is no accumulation of the vorticity and thus there is no finite-time singularities according to B-K-M criterion [3]. In critical spaces likeBp,12p+1the situation is more complicate because we do not know if the B-K-M criterion works or not. In [16], Vishik proved that Euler system is globally well-posed in these critical Besov spaces. He used for the proof a new logarithmic estimate taking advantage of the particular structure of the vorticity equation in dimension two. For the Boussinesq

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system(B0,κ), Chae proved in [5] the global well-posedness for initial data v0,θ0 lying in Soboloev spaceHs, withs>2. We intend here to improve this result for rough initial data. Our results reads as follows.

Theorem 1.1. Let p ∈ [1,∞[, v0B1+

2 p

p,1 be a divergence-free vector field of R2 andθ0 ∈ Bp,11+2p ∩Lr,with2 < r < . There exists a unique global solution(v,θ)to the Boussinesq system(B0,κ),κ>0such that

v∈ C(R+;B1+

2 p

p,1 ) and θ ∈ Lloc(R+;B1+

2 p

p,1 ∩Lr)∩eL1loc(R+;B1+

2 p

p,1B2r,∞). The situation in the case p = + is more subtle since Leray’s projector is not continu- ous on L and we overcome this by working in homogeneous Besov spaces leading to more technical difficulties. Before stating our result we introduce the following sub-space ofL :

u∈B ⇔ kukB :=kukL+k1ukB˙0

∞,1 <.

We notice thatBis a Banach space and independent of the choice of the dyadic partition of unity. For the definition of Besov spaces and the frequency localization operator∆1

we can see next section. Our second main result is the following:

Theorem 1.2. Let v0B∞,11 ,with zero divergence andθ0B . Then there exists a unique global solution(v,θ)to the Boussinesq system(B0,κ),κ>0such that

v∈C(R+;B1∞,1) and θ ∈ Lloc(R+;B)∩eL1loc(R+;B2,). For the proofs it suffices to estimate the quantities k∇v(t)kL and k∇θkL1

tL. This will be done by using some logarithmic estimates combined with some smoothing effects.

Theorem 3.1 is very crucial and it describes new smoothing effects for the transport- diffusion equation governed by a vector field which is not necessary Lipschitz but only quasi-lipschitz.

The rest of this paper is organized as follows. In section 2, we recall some preliminary results on Besov spaces. Section 3 is devoted to the proof of smoothing effects. In section 4 and 5 we give respectively the proof of Theorem 1.1 and 1.2. We give in the appendix a commutator lemma.

2. NOTATION AND PRELIMINARIES

Throughout this paper we shall denote by Csome real positive constant which may be different in each occurrence and by C0 a real positive constant depending on the norms of the initial data.

Let us introduce the so-called Littlewood-Paley decomposition and the correspond- ing cut-off operators. There exist two radial positive functions χD(Rd) and ϕ ∈ D(Rd\{0})such that

i) χ(ξ) +

q0

ϕ(2qξ) =1; ∀ q≥1, suppχ∩supp ϕ(2q) =∅ ii) suppϕ(2p·)∩supp ϕ(2q·) =∅, if|p−q| ≥2.

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For everyv∈S0(Rd)we set

1v=χ(D)v;∀q∈N, ∆qv= ϕ(2qD)v and Sq=

1pq1

p. The homogeneous operators are defined by

∆˙qv= ϕ(2qD)v, S˙qv=

jq1

∆˙jv, ∀q∈Z.

¿From [2] we split the productuvinto three parts:

uv= Tuv+Tvu+R(u,v), with

Tuv=

q

Sq1u∆qv and R(u,v) =

|q0q|≤1

qu∆q0v.

Let us now define inhomogeneous and homogeneous Besov spaces. For(p,r)∈[1,+]2 ands ∈ Rwe define the inhomogeneous Besov spaceBsp,ras the set of tempered distri- butionsusuch that

kukBsp,r :=2qskqukLp

`r <+∞.

The homogeneous Besov space ˙Bsp,ris defined as the set ofu∈S0(Rd)up to polynomials such that

kukB˙s

p,r :=2qsk˙qukLp

`r(Z) <+∞.

LetT>0 andρ ≥1, we denote byLρTBsp,rthe space of distributionsusuch that kukLρ

TBsp,r :=2qskqukLp

`r

LρT <+. We say thatubelongs to the spaceeLρTBsp,rif

kuk

eLρTBsp,r :=2qskqukLρ

TLp

`r <+∞.

The following result is due to Vishik [16].

Lemma 2.1. Let d ≥ 2, there exists a positive constant C such that for any smooth function f and for any diffeomorphismψofRd preserving Lebesgue measure, we have for all p ∈ [1,+] and for all j,q∈Z,

k˙j(˙qf ◦ψ)kLp ≤ C2−|jq|k∇ψη(j,q)kLk˙qfkLp, with

η(j,q) =sign(j−q). Let us now recall the following result proven in [8, 10].

Proposition 2.2. Letν ≥ 0,(p,r) ∈ [1,∞]2, s ∈]−1, 1[, v ∈ L1loc(R+; Lip(Rd))with zero divergence and f be a smooth function. Let a be any smooth solution of the transport-diffusion equation

ta+v· ∇a−ν∆a= f.

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Then there is a constant C :=C(s,d)such that for every t∈R+

kak

eLtBsp,r+ν

1

mka−1ak

eLmtBsp,r+m2

≤CeCV(t) ka0kBs

p,r +

Z t

0

kf(τ)kBs

p,r

, where V(t):=

Z t

0

k∇v(τ)kLdτ.

We shall now give a logarithmic estimate which is an extension of Vishik’s one [16]. For the proof we refer to [13].

Proposition 2.3. Let p,r ∈ [1,+], v be a divergence-free vector field belonging to the space L1loc(R+; Lip(Rd))and let a be a smooth solution of the following transport-diffusion equation (withν≥0),

ta+v· ∇a−ν∆a= f a|t=0 =a0.

If the initial data a0∈ B0p,r,then we have for all t∈R+

kak

eLt B0p,r ≤C ka0kB0

p,r +kfk

eL1tB0p,r

1+

Z t

0

k∇v(τ)kLdτ , where C depends only on the dimension d but not on the viscosityν.

3. SMOOTHING EFFECTS

This section is devoted to the proof of a smoothing effect for a transport-diffusion equa- tion with respect to a vector field which is not necessary Lipschitz. This problem was studied by the author [11] in the case of singular vortex patches for two dimensional Navier-Stokes equations. The estimate given below is more precise than [11].

Theorem 3.1. Let v be a smooth divergence-free vector field ofRdwith vorticityω := curlv.

Let a be a smooth solution of the transport-diffusion equation

ta+v· ∇a−∆a=0; a|t=0= a0. Then we have for q∈N∪ {−1}and t ≥0

22q Z t

0

kqa(τ)kLdτ . ka0kL

1+t+ (q+2)kωkL1

tL+k∇1vkL1 tL

. Remark 1. In [10], the author proved in the case of Lipschitz velocity the following esti- mate

(1) 22q

Z t

0

kqa(τ)kLdτ.ka0kL

1+t+

Z t

0

k∇v(τ)kLdτ .

But this is not useful in our case. We emphasize that the above theorem is also true when we changeL byLp, withp∈ [1,∞].

Proof. The idea of the proof is the same as in [10]. We use Lagrangian formulation com- bined with intensive use of paradifferential calculus.

Letq∈N, then the Fourier localized functionaq:=qasatisfies

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(2) taq+Sq1v· ∇aq∆aq= (Sq1−Id)v· ∇aq−[q,v· ∇]a := gq. Letψqdenote the flow of the regularized velocitySq1v:

ψq(t,x) =x+

Z t

0 Sq1v τ,ψq(τ,x)dτ.

We set

¯

aq(t,x) =aq(t,ψq(t,x)) and g¯q(t,x) =gq(t,ψq(t,x)).

¿From Leibniz formula we deduce the following identity

∆a¯q(t,x) =

d i=1

D

Hq·(iψq)(t,x),(iψq)(t,x)E+ (∇aq)(t,ψq(t,x))·ψq(t,x), whereHq(t,x):= (∇2aq)(t,ψq(t,x))is the Hessian matrix.

Straightforward computations based on the definition of the flow and Gronwall’s in- equality yield

iψq(t,x) =ei+hiq(t,x),

where(ei)id=1is the canonical basis ofRdand the functionhiqis estimated as follows (3) khiq(t)kL .Vq(t)eCVq(t), with Vq(t):=

Z t

0

k∇Sq1v(τ)kLdτ.

Applying Leibniz formula and Bernstein inequality we find (4) k∆ψq(t)kL .2qVq(t)eCVq(t). The outcome is

(5) ∆a¯q(t,x) = (∆aq)(t,ψq(t,x))− Rq(t,x), with

kRq(t)kL . k∇aq(t)kLkψq(t)kL

+ k∇2aq(t)kLsup

i

khiq(t)kL+khiq(t)k2L . 22qVq(t)eCVq(t)kaq(t)kL.

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In the last line we have used Bernstein inequality.

¿From (2) and (5) we see that ¯aqsatisfies

(t)a¯q(t,x) =Rq(t,x) +g¯q(t,x).

Now, we will again localize in frequency this equation through the operator∆j. So we write from Duhamel formula,

jq(t,x) = et∆jaq(0) +

Z t

0 e(tτ)jRq(τ,x)dτ +

Z t

0 e(tτ)jq(τ,x)dτ.

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At this stage we need the following lemma (see for instance [7]).

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Lemma 3.2. For u∈ Land j∈N,

(8) ket∆jukL ≤Cect22jkjukL, where the constants C and c depend only on the dimension d.

Combined with (6) this lemma yields, for everyj∈N,

(9) ke(tτ)jRq(τ)kL .22qVq(τ)eCVq(τ)ec(tτ)22jkaq(τ)kL. Since the flow is an homeomorphism then we get again in view of Lemma 8

ke(tτ)jq(τ)kL . ec(tτ)22jk[q,v.∇]a(τ)kL

+ k(Sq1v−v)· ∇aqkL

. (10)

From Proposition 6.1 we have

k[q,v· ∇]a(t)kL . ka(t)kL

k∇1v(t)kL+ (q+2)kω(t)kL

. ka0kL

k∇1v(t)kL+ (q+2)kω(t)kL

. (11)

We have used in the last line the maximum principle: ka(t)kL ≤ ka0kL. On the other hand sinceq∈N, we can easily obtain

k(Sq1v−v)· ∇aqkL . kaqkL2q

jq1

2jkjωkL

. ka0kLkωkL. (12)

Putting together (7), (9), (10), (11) and (12) we find kjq(t)kL . ect22jkja0qkL

+ Vq(t)eCVq(t)22q Z t

0 ec(tτ)22jkaq(τ)kLdτ + (q+2)ka0kL

Z t

0 ec(tτ)22jkω(τ)kLdτ + ka0kL

Z t

0 ec(tτ)22jk∇1v(τ)kLdτ.

Integrating in time and using Young inequalities, we obtain for allj∈N kjqkL1

tL . (22j)1kja0qkL+ (q+2)ka0kLkωkL1

tL+

ka0kLk∇1vkL1 tL

+Vq(t)eCVq(t)22(qj)kaqkL1 tL.

Let Nbe a large integer that will be chosen later. Since the flow is an homeomorphism, then we can write

22qkaqkL1

tL = 22qka¯qkL1 tL

≤ 22q

|j

q|<N

kjqkL1

tL+

|jq|≥N

kjqkL1 tL

.

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Hence, for allq> N, one has 22qkaqkL1

tL . ka0kL+22Nka0kL

(q+2)kωkL1

tL+k∇1vkL1 tL

+ Vq(t)eCVq(t)22N22qkaqkL1

tL+22q

|jq|≥N

kjqkL1 tL. According to Lemma 2.1, we have

kjq(t)kL .2−|qj|eCVq(t)kaq(t)kL. Thus, we infer

22qkaqkL1

tL . ka0kL+22Nka0kL

(q+2)kωkL1

tL+k∇1vkL1 tL

+ Vq(t)eCVq(t)22N22qkaqkL1

tL+2NeCVq(t)22qkaqkL1 tL. For low frequencies,q≤ N, we write

22qkaqkL1

tL.22NkakL1 tL. Therefore we get forq∈N∪ {−1},

22qkaqkL1

tL . ka0kL+22NkakL1

tL

+ 22Nka0kL

(q+2)kωkL1

tL+k∇1vkL1 tL

+ Vq(t)eCVq(t)22N+2NeCVq(t)

22qkaqkL1 tL. ChoosingNandtsuch that

Vq(t)eCVq(t)22N+eCVq(t)2N .e, wheree<<1. This is possible for small timetsuch that

Vq(t)≤C1, whereC1is a small absolute constant.

Under this assumption, one obtains forq≥ −1 22qkaqkL1

tL . kakL1

tL+ka0kL

1+ (q+2)kωkL1

tL+k∇1vkL1 tL

.

Let us now see how to extend this for arbitrarly large time T. We take a partition(Ti)Mi=1 of[0,T]such that

Z Ti+1

Ti

k∇Sq1v(t)kLdt'C1.

Reproducing the same arguments as above we find in view ofka(Ti)kL ≤ ka0kL,

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22q Z Ti+1

Ti

kaq(t)kLdt .

Z Ti+1

Ti

ka(t)kLdt+ka0kL

+ ka0kL

(q+2)

Z Ti+1

Ti

kω(t)kLdt

+

Z Ti+1

Ti

k∇1v(t)kLdt . Summing these estimates we get

22qkaqkL1

TL . kakL1

TL+ (M+1)ka0kL+

+ ka0kL

(q+2)kωkL1

TL+k∇1vkL1 TL

. AsM≈Vq(T), then

22qkaqkL1

TL . kakL1

TL+ (Vq(T) +1)ka0kL+ + ka0kL

(q+2)kωkL1

TL+k∇1vkL1 TL

. Since

k∇Sq1vkL ≤ k∇1vkL+ (q+2)kωkL, then inserting this estimate into the previous one

22qkaqkL1

TL . ka0kL

(1+T) + (q+2)kωkL1

TL+k∇1vkL1 TL

.

This is the desired result.

4. PROOF OFTHEOREM1.1

We restrict ourselves to thea prioriestimates. The existence and uniqueness parts can be done in classical manner.

Proposition 4.1. For v0B1+

2p

p,1 andθ0 ∈ Lr,with2<r< ∞,we have for t∈R+ 1)

kθ(t)kLr ≤ kθ0kLr. 2)

kθk

L1tBr,11+2r +kω(t)kL+kωk

eLtB∞,10 ≤C0eeC0t. 3)

kθk

eL1tB2r,∞+kθk

L1tB1p,1+2p +kvk

eLt B1p,1+2p ≤C0eeeC0

t

, where the constant C0depends on the initial data.

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Proof. The first estimate can be easily obtained from Lrenergy estimate. For the second one, we recall that the vorticityω =1v22v1satisifies the equation

(13) tω+v· ∇ω =1θ.

Taking theL norm we get

(14) kω(t)kL ≤ kω0kL+k∇θkL1 tL. Using the embeddingB1r,1+2r ,→Lip(R2)we obtain

kω(t)kL . kω0kL+kθk

L1tBr,11+2r. (15)

¿From Theorem 3.1 applied to the temperature equation and by Bernstein inequalities we deduce fore>0,

kθkL1

tB2r,∞e . kθ0kLr1+t+kωkL1

tL+k1∇vkL1 tL

. kθ0kLr1+t+kωkL1

tL+k∇vkL1 tLp¯

, with ¯p:=max{p,r}. This leads forr>2 to the inequality

kθk

L1tB1r,∞+2r .kθ0kLr1+t+kωkL1

tL+k∇vkL1 tLp¯

.

On the other hand we have the classical resultk∇vkLp¯ ≈ kωkLp¯. Thus we get

(16) kθk

L1tBr,11+2r .kθ0kLr1+t+kωkL1

tL+kωkL1 tLp¯

. The estimate of theLp¯norm of the vorticity can be done as itsL norm

kω(t)kLp¯ ≤ kω0kLp¯ +k∇θkL1 tLp¯. . kω0kLp¯ +kθk

L1tB1r,1+2r. (17)

Set f(t):= kθk

L1tB1r,1+2r, then combining (15), (16) and (17) leads f(t).kθ0kLr(1+t+tkω0kLLp¯) +kθ0kLr

Z t

0 f(τ)dτ.

According to Gronwall’s inequality, one has

(18) kθk

L1tBr,11+2r ≤C0eC0t,

whereC0is a constant depending on the initial data. From (15) and (16) we deduce kω0kLLp¯ ≤C0eC0t.

Let us now turn to the estimate ofkω(t)kB0

∞,1. Applying Proposition 2.3 to the vorticity equation and using Besov embeddings,

kωk

eLtB∞,10 . kω0kL+kθkL1 tB∞,11

1+k∇vkL1 tL

. kω0kL+kθk

L1tBr,11+2r

1+k∇vkL1 tL

. (19)

(11)

On the other hand we have

k∇v(t)kL ≤ k∇1v(t)kL+

qN

kq∇v(t)kL

. k∇1v(t)kLp¯+kω(t)kB0

∞,1

. kω(t)kLp¯ +kωk

eLt B0∞,1. (20)

Putting together (18), (19) and (20) and using Gronwall’s inequality gives

(21) k∇vkL+kωk

eLt B0∞,1 ≤C0eeC0t.

It remains to prove the third point of the proposition. The first smoothing effect onθis a direct consequence of (1) and the above inequality,

kθk

eL1tBr,∞2 ≤C0eeC0t.

For the second one we apply Proposition 2.2 to the temperature equation . To establish the velocity estimate we write

kvk

eLt B1p,1+2p .kvkL

t Lp+kωk

eLt Bp,12p . Using the velocity equation, we obatin

kv(t)kLp .kv0kLp+tkθ0kLp+

Z t

0

kP(v· ∇v)(τ)kLpdτ.

wherePdenotes Leray projector. It is well-known that Riesz transforms act continuously onLp, with 1< p<∞, which yields

kP(v· ∇v)kLp .kv· ∇vkLp . kvkLpk∇vkL. Thus we get in view of Gronwall’s inequality and (21)

(22) kvkL

t Lp ≤C0eeeC0

t

. It remains to estimatekω(t)k

Bp,12p

. We apply Proposition 2.2 to the vorticity equation com- bined with the temperature smoothing, (18) and (21),

kωk

eLt Bp,12p . eCV(t)(kω0k

Bp,12p +kθk

L1tB1p,1+2p).

5. PROOF OFTHEOREM1.2

The case p = + is more subtle and the difficulty comes from the term k∇1vkL, since Riesz transforms do not mapLto itself. To avoid this problem we use a frequency interpolation method. The main result is the following:

(12)

Proposition 5.1. There exists a constant C0 depending onkv0kB0

∞,1 andkθ0kB such that for t ∈[0,∞[

kθ(t)kL ≤ kθ0kL; kθkL1

tB∞,11 ≤ C0eC0t3 and

kvk

eLt B1∞,1+kθk

eL1tB∞,∞2 +kθ(t)kB ≤ C0eeC0t3.

Proof. TheL-bound of the temperature can be easily obtained from the maximum prin- ciple. To give the other bounds we start with the following estimate for the vorticity, which is again a direct consequence of the maximum principle,

(23) kω(t)kL ≤ kω0kL+k∇θkL1

tL ≤ kω0kL+kθkL1 tB∞,11 .

LetN∈ N, then we get by definition of Besov spaces and the maximum principle kθkL1

tB1∞,1 =

qN1

2qkqθkL1

tL+

qN

2qkqθkL1 tL

. 2Ntkθ0kL+

qN

2qkqθkL1 tL. By virtue of Theorem 3.1 one has

kθkL1

tB1∞,1 . 2Ntkθ0kL+2Nkθ0kL

1+t+k∇1vkL1

tL+NkωkL1 tL

. 2Ntkθ0kL+2Nkθ0kL

1+t+k∇1vkL1 tL

+kωkL1 tL. Choosing judiciously Nwe get

(24) kθkL1

tB1∞,1.kωkL1

tL+t12kθ0kL

1+t+k∇1vkL1 tL

12

The following lemma gives an estimate of the low frequency of the velocity.

Lemma 5.2. For all t≥0,wed have

k∇1v(t)kL .1+C0 1+t kωkL

t L+tkωk2L t L, with C0a constant depending on the norms of the initial data.

Proof. FixN∈N. Since∆1 =1(S˙N+0q=−N˙q)then we have k∇1vkL . k∇S˙NvkL+

0 q=−N

k∇˙qvkL

. 2NkvkL+

0

N

k˙qωkL

. 2NkvkL+NkωkL. TakingN≈log(e+kvkL)we get

(25) k∇1vkL .1+kωkLlog(e+kvkL).

(13)

It remains to estimatekvkL. Let M∈Nthen we have kvkL .kS˙MvkL+2MkωkL. Now using the equation of the velocity we get

kS˙Mv(t)kL ≤ kS˙Mv0kL+kPS˙MθkL1 tL

+

Z t

0

kS˙MdivP(v⊗v)(τ)kLdτ . kv0kL+k1θkL1

tB˙0∞,1+2M Z t

0

kv(τ)k2Ldτ.

We have used the following inequality based on the uniform continuity with respect toq of the operator ˙∆qP : L →L :

kS˙MdivP(v⊗v)kL

q≤−M1

k˙qdivP(v⊗v)kL

.

q≤−M1

2qkv⊗vkL. Thus we obtain

kvkL.kv0kL+k1θkL1

tB˙0∞,1+2M

Z t

0

kv(τ)k2Ldτ+2Mkω(t)kL. To estimatek1θkL1

tB˙∞,10 we use the temperature equation, k˙qθ(t)kL ≤ k˙qθ0kL+k˙q(v· ∇θ)kL1

tL+k˙q∆θkL1 tL

. k˙qθ0kL+2qkvθkL1

tL+22qkθkL1 tL

. k˙qθ0kL+2qkθ0kLkvkL1

tL+22qtkθ0kL. Therefore we get

q

0

k˙qθ(t)kL .

q0

k˙qθ0kL+tkθ0kL+kθ0kL

Z t

0

kv(τ)kLdτ.

TakingMsuch that

22M ≈ Rt

0kvk2Ldτ kωkL , we find

kvkL .C0(1+t) +kθ0kL

Z t

0

kv(τ)kLdτ+kω(t)kL12

Z t

0

kv(τ)k2L12 . According to Gronwall’s inequality we get

(26) kvkL ≤C0eC0teCtkωkLt L.

Inserting this estimate into (25) we find the desired inequality.

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