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www.elsevier.com/locate/anihpc

A smoothing property for the L 2 -critical NLS equations and an application to blowup theory

Sahbi Keraani

a,

, Ana Vargas

b,1

aIRMAR, Université de Rennes 1, Campus de Beaulieu, 35042 Rennes cedex, France

bDepartamento de Matemáticas, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049 Madrid, Spain

Received 24 September 2007; accepted 6 March 2008 Available online 21 March 2008

Abstract

In this paper we prove a smoothing property for theL2-critical nonlinear Schrödinger equation and we use it to study the blowup dynamics for singular solutions below the energy level.

©2008 Elsevier Masson SAS. All rights reserved.

Résumé

Dans cet article, on montre un effet régularisant pour l’équation de SchrödingerL2-critique et on utilise ce résulat pour étudier la dynamique d’explosion pour les solutions singulières ayant des données initiales peu régulières.

©2008 Elsevier Masson SAS. All rights reserved.

MSC:35Q55; 35B40; 35B05

Keywords:Time dependent Schrödinger equation; Blowup; Bourgain spaces

1. Introduction

Consider theL2-critical nonlinear Schrödinger equation i∂tu+u+κ|u|4du=0; u|t=0=u0Hs

Rd

. (1)

Here,=d

j=1x2

j is the Laplace operator onRdandu:Rt×Rdx→Cis a complex-valued function. The parameter κ equal to 1 (resp.−1) corresponds to the focusing (resp. defocusing) NLS. It is well known (see [7] for instance) that the Cauchy problem (1) is locally well-posed inHsfor everys0.

* Corresponding author.

E-mail addresses:[email protected] (S. Keraani), [email protected] (A. Vargas).

1 The research of the second author was supported in part by the MEC (Spain) projects MTM2004-00678 and MTM2007-60952 and the UAM- CM project CCG07-UAM/ESP-1664.

0294-1449/$ – see front matter ©2008 Elsevier Masson SAS. All rights reserved.

doi:10.1016/j.anihpc.2008.03.001

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The unique solution satisfies the following conservation law u(t, x)2dx= u0(x)2dx.

Also, ifs1, the energy E(t )=1

2 ∇u(t, x)2dxκd

4+2d u(t, x)4d+2dx

is conserved astvaries. Here∇ =(∂x1, ∂x2, . . . , ∂xd)denotes the spatial gradient inRd.

Fors >0 Eq. (1) is subcritical: the lifespan of the solution depends only on theHsnorm of the data. Define[0, T) to be the forward maximal lifespan of the solution of (1). We have the following blowup alternative: eitherT= +∞

orT<+∞and

tlimTDsu(t )

L2= +∞.

The spaceL2and the equation have the same scaling. More precisely, ifusolves (1), then, for everyλ >0,so it does uλ(x, t )=λd/2u(λ2t, λx),with datauλ(0, x)=λu0(λx).Butuλ(0,·)L2(R2)= u0L2(R2) and from this point of view (1) isL2-critical. In this case the situation is more subtle and the time of existence depends on shape of the data.

More precisely, the blow up criterion becomes T<+∞ ⇒ lim

TT

[0,T]×Rd

u(t, x)4d+2dx dt= +∞.

The blowup or “wave collapse” corresponds to self-trapping of beams in laser propagation. A lot of theoretical and numerical works are dedicated to this subject when the initial data belongs to H1(see [7,21–26,31,38] and the references therein). This theory, which is based on energy arguments, is closely connected to the notion of ground state: the unique positive radial solution of the elliptic problem

QQ+ |Q|4dQ=0.

For a revisitedH1blowup theory the reader is referred to [19].

For the case of initial data belonging to Hs, with 0s <1, the classical energy arguments do not work. Nev- ertheless, the general consensus is that, in this case too, the same phenomena happen (concentration, universality of blowup profile. . . ).

The first result in this direction is due to J. Bourgain [5] ford=2 ands=0. In fact, by using a refined version of the Strichartz inequality proved in [29] and harmonic analysis techniques, this author proved that if a solution of (1), with initial data in L2, blows up at finite timeT>0, then there is concentration of some part of its total mass in small balls of size(Tt )1/2.Using this work by Bourgain, F. Merle and L. Vega [27] proved, among other things, an asymptotic compactness property inL2(R2)up to the invariance of the equation.

In [20] the first author defines the minimal massδ0as theL2norm necessary to ignite a wave collapse and stresses its role in the blow up mechanism foroneandtwo space dimensions (see also [6]). These results were generalized to higher dimensions by P. Bégout and A. Vargas [1].

Fors close2 to 1 and in dimension two, Colliander et al. [9] have proved that the blowup solutions, which are radially symmetric, concentrate at least the mass of the ground state. This result was extended by Tzirakis [35] to dimension 1 and by Visan and Zhang [37] to general dimension. Their proof is based on the so called I-method introduced in [8]. This type of concentration result was already known fors=1.In [18] the first author and T. Hmidi have proved a refined compactness lemma adapted to the blowup theory of NLS and used it to improve the results of [9]: they have removed the assumption of radial symmetry of the initial data and proved thatQis a profile for the singular solutions with minimal mass.

The energy method also proves that in the defocusing case (κ = −1), for data inH1,the solution is global. For data inHs(R2), s >2/3,Bourgain [5] proved that the solution of (1)κ=−1is global. This was improved by Fang and

2 More precisely, fors >1+

11 5 .

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Grillakis [14]. Related results for other dimensions have recently appeared in the work of Da Silva, Pavlovic, Staffilani and Tzirakis [12,13]. A global well posedness result fors=0,andd3,with the additional assumption of radial symmetry, has been proved by Tao, Visan and Zhang [33] with different methods (namely, using the results of [20]

and [1], see also [34]).

In this paper we prove the following theorem.

Theorem 1.1.Ford=1,sets1=3/4.For2d4,setsd=d+d2.Finally, ford5,setsd=dd(d2+2d+2)8.The solution of (1)with initial datau0Hs(Rd),s > sd, can be written

u(t )=eit u0+w(t ), t∈ [0, T[,

withwC([0, T[, H1(Rd)). Furthermore, ifTis finite then there exists a constantC >0such thatw(t )

L2 C

Tt, (2)

for everyt∈ [0, T[.

Remark 1.2.This type of result (i.e. the extra-regularity of the Duhamel part of the solution) was firstly discovered, and used, by Bourgain [5] in the context of the defocusingL2-critical Schrödinger equation with initial data inHs(R2), s >2/3.

Remark 1.3.Theorem 1.1 says that the blowup phenomenon has anH1mechanism. In fact, any singular solution can be split en two parts: anHs part which is global (since it is linear) and anH1part, which blows up. This explains, in particular, why despite the fact thatu(t )Hs, withs <1, all the blowup profiles discovered in [18] belong toH1 (see Remark 1.7 in [18]).

Combined with the well-known smoothing effects for the linear Schrödinger equation ([10,30] and [36]) Theo- rem 1.1 yields

Corollary 1.4.Under the assumptions of Theorem1.1,u(t )Hloc1 (Rd)for almost everyt∈ [0, T[.

For the rest of this section we takeκ=1 (the focusing case) and assume that, in the context of Theorem 1.1, the maximal time of existenceTis finite. The energyE(w(t ))ofw(t )is, of course, not conserved. However, we believe that a weaker result is true: at blowup time, the potential part ofE(w(t ))is asymptotically equal to the kinetic one.

This result can be easily proved when the initial datau0 lies inH1 and we may conjecture that it remains true for initial data inHs whens > sd. More precisely we have

Conjecture.Under the assumptions and notations of Theorem1.1, assume thatκ=1andTis finite. Then we have E(w(t ))

w(t )2L2

−→0, astT. (3)

Remark 1.5.If this conjecture is true, it would imply that global existence occurs for everyu0Hs, s > sd,such thatu0L2<QL2.(See Appendix A for the proof of this claim and other discussions.)

The rest of this paper is organized as follows. In Section 2, we recall some function spaces and prove some re- sults needed for the proof of our theorem which is given in Section 3. Some proof of auxiliary results are given in Appendix A.

2. Preliminaries

In this preliminary section, we are going to recall some definitions and prove some basic properties of the objects that will be used in our analysis.

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In what follows positive constants will be denoted byCand will change from line to line. If necessary, byC,..., we denote positive constants depending only on the quantities appearing in the indices.

Let us first recall the dyadic decomposition of the full spaceRd. LetχC0(Rd)andϕC0(Rd\{0})two radially symmetric functions such that

χ (ξ )+

j0ϕ(2jξ )=1, 13χ2(ξ )+

j0ϕ2(2jξ )1,

• suppϕ(2j·)∩suppϕ(2k·)=∅,if|jk|2,

j1⇒suppχ∩suppϕ(2j)=∅.

For everyvSone defines the inhomogeneous Littlewood–Paley operators P1v=χ (D)v; ∀j∈N, Pjv=ϕ

2jD

v and Sj=

1kj1

Pk.

From the paradifferential calculus introduced by J.-M. Bony [3] the productuvcan be formally divided into three parts as follows:

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

Tuv=

j

Sj1uPjv, and R(u, v)=

j

PjuPjv,

withPj= 1 i=−1

Pj+i=Pj1+Pj+Pj+1.

Tuvis called paraproduct ofvbyuandR(u, v)the remainder term.

Our proof, which relies on ideas introduced in [5], uses the notion of Bourgain spacesXs,b.

Definition 2.1(Bourgain spaces).LetI be an interval ofR. For every pair of real numbers(s, b), the spaceXs,b[I]is the space of functionsufromI toCsuch that

uXs,b[I]=inf

φXs,b, φ|I=u

<, where

φXs,b=

1+ |ξ|2s

1+λ+ |ξ|22bφ(ξ, λ)˜ 2dξ dλ 1

2

.

Here,φ˜denotes the Fourier transform ofφin the variables(x, t ).

We collect in the next proposition some properties of these spaces that will be needed in our proof.

Proposition 2.2.LetI be an interval ofRcontaining0.

(A) For everys∈Randb >1/2,Xs,b[I]C0(I, Hs(Rd)).

(B) For everys, b∈R,(Xs,b)=Xs,b.

(C) For any Schwartz time cuttofηS(R)andu0Hs(Rd), we have η(t )eit u0

Xs,b(R×Rd)Cη,bu0Hs(Rd).

(D) For everys∈R,12< b0,0bb+1,|I|1andfXs,b[I]we have FXs,b[I]C|I|1b+bfXs,b[I],

whereF (t, x)=t

0ei(ts)f (s, x) ds.

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(E) For everyb >12 and everya >34ifd=1and everya >dd+2 ifd2, there existsC=C(a, b)such that uv

L

d+2 d x,t

CuXa,bvXa,b,u, vXa,b.

(F) For every2p2(dd+2) andγ >d+22(12p1),there existsC=C(p, γ )such that uLp

x,t CuX0,γ,uX0,γ.

(G) For every 2(dd+2)< p+∞, a > (d+2)(2(dd+2)p1)andb >12,there existsC=C(p, a)such that uLp

x,t CuXa,b,uXa,b.

For the proof of (A)–(D), see [5] and [17]. We will give proofs of (E), (F) and (G) in the next subsections.

2.1. Proof of Proposition 2.2(E)

The key estimate is the following improved Strichartz’s inequality:

Proposition 2.3.Forα=14 ifd=1, forα=12 ifd=2, and for everyα <d+22 ifd3,there existsC=C(α), such that the following estimate

eit f eit g

Ld+d2(Rd+1)C M

N α

fL2gL2

holds for allL2functionsf andgwithsuppfˆ⊂ {ξ ∈Rd: |ξ|2M}andsuppgˆ⊂ {ξ ∈Rd: N|ξ|2N}for all 0< MN.

Remark 2.4.For the cased=2,this inequality was proved by Bourgain (see Lemma 111 in [5]).

Remark 2.5.The exponents appearing in this proposition are sharp.

Ford=1 takefˆ=1Mξ2M,gˆ=11ξ1+M1/2 and Σ=

(t, x)∈R2: |x+2t|M1/2

20 , |t|M1 20

, withM1.

It is easy to see (sinceMsmall) that for allξ∈ [M,2M]and(t, x)Σ,we have|+t|ξ|2|12.Hence, there is a constantc >0,such that(ei(xξ+t|ξ|2))c.Thus,

eit f (x)=

2M M

ei(xξ+t|ξ|2)

M,(x, t )Σ.

Similarly, for every(x, t )Σ eit g(x)=

1+M1/2 1

ei(xξ+t|ξ|2) =

M1/2

0

ei(η(x+2t )+t|η|2)

M1/2. But|Σ| ∼M3/2, and so

eit f eit g

L3(R2)CM.

Sinceg2=M1/2andf2=M1/4we get the result.

The example in higher dimensionsd2,is quite different. Considerfˆ=1A,where, for someM1, A= {ξ= 1, ξ2, . . . , ξN):M2ξ12M2,|ξk|M,k=2,3, . . . , d},andgˆ=1B,whereB= {ξ =1, ξ2, . . . , ξd): 1ξ1

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1+M2,|ξk|M,k=2,3, . . . , d}.Then, we see that, for|t|20dM1 2,|x1|20dM1 2,|x2|,|,|x3|, . . . ,|xd|20dM1 ,

|eit f (x)|Md+1 and|eit g(x)|Md+1. Thereforeeit f eit g

Ld+d2 CMd+1+d+22, whilef2= g2= Md+21.This gives the desired result.

Proof of Proposition 2.3. By rescaling, it suffices to consider the caseN=1.IfM∼1,then, this proposition follows from Hölder and Strichartz and estimates. We will only deal with the caseM1.

Cased2.Proposition 2.3, ford2,follows from the following estimates and an interpolation argument.

Theorem 2.6.(Cf. [32].) Assume thatf andg are functions belonging toL2(Rd),such that suppf ,ˆ suppgˆ⊂ {ξ:

|ξ|2},anddist(suppf ,ˆ suppg)ˆ ∼1. Then, for allp >dd++31, eit f eit g

Lpx,t CfL2gL2.

Proposition 2.7.Assume thatf andgare functions belonging toL2(Rd),such thatsuppfˆ⊂ {ξ ∈Rd: |ξ|2M} andsuppgˆ⊂ {ξ∈Rd: 1|ξ|2}for someM1/4.Then,

eit f eit g

L2x,t CMd21fL2gL2.

Proof. We follow the arguments introduced in [4] (see also [28] and [32]). LetψS(R)such thatψ (0)=1 and ψ(τ )ˆ =1 if|τ|<1, ψ (τ )ˆ =0 if|τ|>2.

By the dominated convergence we have eit f eit g2

L2x,t = lim

ε0

ψ (εt )eit f (x)eit f (x)eit g(x)eit g(x) dx dt :=lim

ε0Iε.

A straightforward calculus, using the Plancherel’s identity inx, yields Iε=C

t

ψ (εt )

R3d

f (ξ )ˆ f (η)¯ˆ g(ζ )ˆ g(ξ¯ˆ +ζη)e2it (ξη,ζη)dξ dη dζ dt

=C

R3d

f (ξ )ˆ f (η)¯ˆ g(ζ )ˆ g(ξ¯ˆ +ζη)1 εψˆ

2

εξη, ζη

dξ dη dζ.

Thus, we infer

|Iε|C ε

Γζ,ηε

f (ξ )ˆ f (η)ˆ g(ζ )ˆ g(ξˆ +ζη)dξ dη dζ,

where

Γζ,ηε :=

ξ∈Rd: ξη, ζηε .

By Cauchy–Schwarz’s inequality inξ we get

|Iε|C

Γζ,ηε

1

εg(ξˆ +ζη)f (ξ )ˆ 2 1

2 1

εΓζ,ηε ∩suppfˆ12g(ζ )ˆ f (η)ˆ dζ dη.

By the assumptions on suppfˆ and suppgˆ we get easily that for everyη∈suppfˆ and everyζ ∈suppgˆ we have

1

2|ηζ|3. Therefore, in this caseΓζ,ηε is a |ηζ| thick layer (which is orthogonal to the vectorηζ) and then Γζ,ηε ∩suppfˆCεMd1.

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This implies

IεCMd21 1 ε

Γζ,ηε

g(ξˆ +ζη)f (ξ )ˆ 2 12

g(ζ )ˆ f (η)ˆ dζ dη.

We apply Cauchy–Schwarz’s inequality in the variablesζ, η IεCMd−12

ηsuppfˆ

1 ε

Γζ,ηε

g(ξˆ +ζη)f (ξ )ˆ 2dξ dζ dη 12

fL2gL2.

For fixedξ, η,we change variablesζξ +ζη=u.Note that, by the definition above,ξΓζ,ηε if and only if ηΓξε+ζη,ξ=Γu,ξε .Therefore,

ηsuppfˆ Γζ,ηε

g(ξˆ +ζη)f (ξ )ˆ 2dξ dζ dη=

ηsuppfˆ

u:ηΓu,ξε

g(u)ˆ f (ξ )ˆ 2du dξ dη.

Finally, changing the order of integration,

ηsuppfˆ Γζ,ηε

g(ξˆ +ζη)f (ξ )ˆ 2dξ dζ dη= g(u)ˆ f (ξ )ˆ 2Γu,ξε ∩suppfˆdξ du.

As before this leads to

ηsuppfˆ

1 ε

Γζ,ηε

g(ξˆ +ζη)f (ξ )ˆ 2dξ dζ dηCMd1f2L2g2L2.

The outcome is eit f eit g2

L2x,t =lim

ε0Iε

CMd1f2L2g2L2. 2

Cased=1.Proposition 2.3, ford=1, can be proved by interpolation between the following estimates.

Theorem 2.8.For everyp2there exists a constantC=C(p)such that the following estimate eit f eit g

Lpx,t(R2)C ˆf

L

p p1(R) ˆg

L

p

p1(R) (4)

holds for all tempered distributionsf andgsuch that their Fourier transformsfˆandgˆ belong toL

p−1p (R)and are

supported in{ξ: |ξ|2},withdist(suppf ,suppˆ g)ˆ ∼1.

This theorem follows from a classical argument by Fefferman and Stein (see [15]). For sake of completeness we give the proof in Appendix A.

Proposition 2.9.Assume thatf andgare functions defined onRsuch thatsuppfˆ⊂ {ξ∈R: |ξ|2M}andsuppgˆ⊂ {ξ∈R: 1|ξ|2}for someM1/4.Then,

eit f eit g

L4x,t CM3/8fL2gL2. Moreover, the exponent3/8is sharp.

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Proof of Proposition 2.9. Without loss of generality, we can assume thatgˆ⊂ {ξ∈R: 1ξ2}.For the integersk, M1/2−1k2M1/2,setIk= [kM1/2, (k+1)M1/2],and define functionsgk bygˆk= ˆg1Ik.Then,g=

kgk and,

eit f eit g

L4x,t =

k

eit f eit gk L4x,t

.

We will use the following well-known orthogonality lemma Lemma 2.10(Orthogonality lemma).

k

eit f eit gk L4x,t

C

k

eit f eit gk2

L4x,t

1/2

.

A similar orthogonality result was first observed by C. Fefferman [16] (see also A. Córdoba [11]). For the sake of completeness we will give a proof in Appendix A. Let us now finish the proof of Proposition 2.9. Using the orthogonality lemma, we are reduced to show that

k

eit f eit gk2

L4x,t

1/2

CM3/8f2g2. (5)

But, by (4) forp=4,we have

k

eit f eit gk2

L4x,t

1/2

C

k

ˆf24/3 ˆgk24/3 1/2

.

By Hölder’s inequality and using the size of the supports offˆandgˆk the last expression is bounded by CM3/8

k

f22gk22

1/2

=CM3/8f2

k

gk22

1/2

=CM3/8f2g2,

which gives (5). For the sharpness of the exponent 3/8 we can use the same example in Remark 2.5. 2 Proposition 2.3 ford=1 follows by interpolating between Theorem 2.8 and Proposition 2.9. 2 Using Proposition 2.3, we now prove the following bilinear estimate.

Proposition 2.11.Setβ=β(d)=d+22ifd2andβ=14ifd=1.For everyb∈ ]0, β[, there is a constantCbsuch that,

eit ψ1eit ψ2

Ld+d2(Rd+1)Cbψ1Hb(Rd)ψ2H1b(Rd), for everyψ1Hb(Rd)andψ2H1b(Rd).

Proof. Using Bony’s decomposition and the fact thatPj commutes with the free propagatoreit we write eit ψ1eit ψ2

Ld+2d (Rd+1)+∞

j=1

eit Sj1ψ1eit Pjψ2

Ld+2d (Rd+1)

+

+∞

j=1

eit Sj1ψ2eit Pjψ1

Ld+d2(Rd+1)

+ +∞

j=−1

eit Pjψ1eit ∇ ˜Pjψ2

Ld+d2(Rd+1)

=I+II+III.

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About II.By Cauchy–Schwarz and Strichartz’s inequalities,

II +∞

j=1 j2

k=−1

2kPkψ2L2Pjψ1L2(Rd)

+∞

j=1 j2

k=−1

2b(kj )2(1b)kPkψ2L22j bPjψ1L2

2b·2(1b)·P·ψ2L2,2·bP·ψ1L2

2, wheredenotes the convolution in2.

If we apply successively Cauchy–Schwarz and Young’s estimates we get IIψ2H1b(Rd)ψ1Hb(Rd).

About III.By Hölder, Strichartz and Bernstein’s inequalities

III= +∞

j=−1

eit (Pjψ1)eit (∇ ˜Pjψ2)

Ld+2d (Rd+1)

+∞

j=−1

2jPjψ1L2(Rd) ˜Pjψ2L2(Rd)

+∞

j=−1

2j bPjψ1L2(Rd)2j (1b) ˜Pjψ2L2(Rd)

1Hb(Rd)ψ2H1−b(Rd).

In the last line we have used the Cauchy–Schwartz inequality.

AboutI.This is the nontrivial part of the proof. Letα∈ ]b, β(d)[fixed. By Proposition 2.3 we have

I

+∞

j=1 j2

k=−1

eit Pkψ1eit Pjψ2

Ld+d2(Rd+1)

+∞

j=1 j2

k=−1

2(kj )αPkψ1L2(Rd)2jPjψ2L2(Rd). We write it in an appropriate way,

=

+∞

j=1 j2

k=1

2(jk)(bα)2kbPkψ1L22j (1b)Pjψ2L2(Rd)

=2(bα)·2b·P·ψ1L2,2·(1b)P·ψ2L2

2 ψ1Hb(Rd)ψ2H1b(Rd),

where we have applied successively Cauchy–Schwarz and Young’s inequalities. 2 Now, we are ready to prove Proposition 2.2(E). Write

ui(x, t )=

ei(xξ+t τ )u˜i(ξ, τ ) dξ dτ=

ei(xξ+t|ξ|2)eit (τ−|ξ|2)u˜i(ξ, τ ) dξ dτ.

Change variables,λ=τ− |ξ|2,

=

ei(xξ+t|ξ|2)eit λu˜i

ξ, λ+ |ξ|2 dξ dλ.

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By Fubini,

=

eit λ

ei(xξ+t|ξ|2)u˜i

ξ, λ+ |ξ|2 dξ dλ.

Defineui,λbyuˆi,λ(ξ )= ˜ui(ξ, λ+ |ξ|2),whereˆ denotes the Fourier transform in thex-variable. Then, ui(x, t )=

eit λeit ui,λ(x) dλ.

Therefore, u1u2

Ld+d2 =

eit λ

eit reit u1,λ(x)eit u2,r(x) dλ dr L

d+2 d x,t

.

By Minkowski’s inequality,

eit u1,λ(x)eit u2,r(x)

L

d+2 x,td

dλ dr.

By Proposition 2.11, this is bounded by C

u1,λHbu2,rH1bdλ dr, (6)

for allb < β(d).Notice that

ui,λHα= uˆi,λ(ξ )2

1+ |ξ|

12 dλ.

Using Cauchy–Schwarz’s inequality, for allε >0, uˆi,λ(ξ )2

1+ |ξ|

1+ |λ|1+ε

12

1+ |λ|1ε

12

Cε u˜i

ξ, λ+ |ξ|21+ |ξ|

1+ |λ|1+ε

dλ dξ 12

=Cε

u˜i(ξ, τ )1+ |ξ|

1+τ− |ξ|21+εdτ dξ 12

=Cεui

Xα,12+ε. Thus, we estimate (6) by

Cεu1

Xb,12+εu2

X1b,12+ε, for allε >0.The outcome is

u1u2

Ld+d2 Cεu1

Xa,12u2

Xa,12,

for allε >0 andamax(b,1−b)withb < β(d). This is Proposition 2.2(E).

2.2. Proof of Proposition 2.2(F)

Set q= d+d2.Using Cauchy–Schwarz and Strichartz’s inequalities, and using (6) as above, we see that, for all ε >0,

uL2q

x,t Cεu

X0,12+ε.

Renamev= ˜u.Then, the last inequality can be written as

˜vL2q

x,t Cε

v(ξ, τ )2

1+τ+ |ξ|21+εdτ dξ 12

,

(11)

for allε >0.On the other hand

˜vL2 = v(ξ, τ )2dτ dξ 1

2

.

We can now use the theorem of interpolation with change of measure (see [2] Theorem 5.4.1) to obtain for 2p2q and forθdefined byp1=12θ +2qθ,

˜vLp(I×R2)Cε v(ξ, τ )2

1+τ + |ξ|2θ (1+ε)dτ dξ 12

, for allε >0.Forv= ˜u,we obtain

uLp(I×R2)Cεu

X0,θ (12+ε), for allε >0.This gives Proposition 2.2(F).

2.3. Proof of Proposition 2.2(G)

As above, by interpolation with change of measure with the estimate (F) forp=2q,it suffices to show that wLx,t Ca,bwXa,b,

for alla >d2 andb >12.This follows form Proposition 2.2(A) and the Sobolev embedding.

3. Proof of Theorem 1.1

Using Proposition 2.2 we are going to prove Theorem 1.1. We will prove that for everyt0∈ [0, T[there exists a small intervalI containingt0, such thatwX1,12+ε[I],for someε >0. This implies thatwX1,12+ε[J]for every compact interval J ⊂ [0, T[, which is, in view of Proposition 2.2(A), a stronger result than the first assertion in Theorem 1.1. Note also that, via a time translation, it is sufficient to considert0=0.

According to the integral formulation of the initial value problem (1) we have w(t, x)=

t

0

ei(tt)u(t, x)d4u(t, x) dt.

LetφC0 (R), such that

φ(t)=1 if|t|<1, φ(t )=0 if|t|>2.

ForT >0 we denoteφT(t )=φ(Tt). On[0, T]the functionwis equal to

w(t, x)=iκφT(t ) t

0

ei(tt)φT(t)u(t, x)4dφT(t)u(t, x) dt.

Thus, by replacingubyφTuwe can assume thatuis globally defined (and compactly supported) in time. Meanwhile we keep the same notationu.

Note also that the value ofT is not relevant for us in this part of proof. So, the dependence onT of the constants is not explicited.

Let s > sd fixed and ε=ε(d, s)a sufficiently small positive number (it satisfies a finite number of smallness conditions). Applying Proposition 2.2(D) (withb=12+εandb= −12+ε), one can estimate

w

X0,12C

|u|d4u

X0,−12. (7)

Here and throughout this section the constantsC=Cε,s,d. For sake of shortness we drop the indices.

The main ingredient of our proof is the following nonlinear estimate.

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