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www.elsevier.com/locate/anihpc

On the local and global well-posedness theory for the KP-I equation

Sur le caractère bien posé local et global pour l’équation KP-I

Carlos E. Kenig

a,b,1

aSchool of Mathematics, Institute for Advanced Study, Princeton, NJ 08540, USA bDepartment of Mathematics, University of Chicago, Chicago, IL 60637, USA

Received 28 October 2003; accepted 8 December 2003 Available online 29 July 2004

Abstract

In this paper we obtain new local and global well-posedness results for the KP-I equation.

2004 Elsevier SAS. All rights reserved.

Résumé

Dans cet article nous obtenons de nouveaux résultats sur le caractère bien posé local et global de l’équation KP-I.

2004 Elsevier SAS. All rights reserved.

Keywords: Local and global well-posedness; KP-I equation

Introduction

In this note we prove a new local well-posedness theorem for the KP-I equation (1.2), and use the well-known conservation laws to establish a new global well-posedness result as a consequence. These, our main results, are Theorems 3.1 and 3.4.

As has been shown in [13–15], the KP-I equation is badly behaved with respect to Picard iterative methods in the standard Sobolev spaces and the natural energy space, since the flow map fails to beC2at the origin in these spaces. Thus, one is left with two choices: one either considers function spaces that are different from the standard Sobolev spaces, and then shows that the Picard iteration scheme does apply for them (this is the strategy

E-mail address: cek@math.uchicago.edu (C.E. Kenig).

1 Supported in part by NSF, and at IAS by The von Neumann Fund, The Weyl Fund, The Oswald Veblen Fund and the Bell Companies Fellowship.

0294-1449/$ – see front matter 2004 Elsevier SAS. All rights reserved.

doi:10.1016/j.anihpc.2003.12.002

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of [4–6], where weighted spaces are used), or one decides to abandon the Picard iteration scheme and tries a different approach to well-posedness theory, which is the approach taken in the present paper. The KP-I equation arises in water wave theory, as modeling capillary gravity waves, in the presence of strong surface tension effects.

Its companion equation, the KP-II equation (where the sign in front of thex1y2u term in (1.2) is+ instead of−) is also of importance in water wave theory, and from the point of view of well-posedness theory it is much better understood, since the above mentioned difficulty with Picard iterative methods does not occur for it. In fact (see [2]) KP-II is known to be both locally and globally well-posed inL2(R2), “by Picard iteration”, and even in some Sobolev spaces of negative index [18–20]. In [13], the authors use the local well-posedness theorem of [7], obtained by a version of the classical energy method, and they couple it with some of the known (formal) conserved quantities, and an ingenious use of the dispersive estimates of Strichartz type for KP-I (see [17]), to show global well-posedness for KP-I in the spaceZ= {φL2(R2):φL2+ x3φL2+ yφL2+ xyφL2+ x1yφL2 + x2y2φL<∞}. Our contribution comes from improving on the local well-posedness result given by the classical energy estimate, by showing local well-posedness in the spaceYs = {φL2(R2): φL2+ JxsφL2+ x1yφL2<∞}fors >3/2, whereJxsf (ξ, η)=(1+ |ξ|2)s/2f (ξ, η). We first observe that, in thisˆ context, it is still enough to controlxuL1tLxy (Lemma 1.3). We then adapt the version of the argument first introduced by Koch and Tzvetkov [12] in the context of the Benjamin–Ono equation, given in [10], also for the Benjamin–Ono equation. This uses the ‘interpolation inequality’ of Lemma 1.7, which is the main new ingredient of our proof. Another important ingredient of the proof is a ‘product theory’ Leibniz rule for fractional derivatives, given in Lemma 1.8(ii), which follows from [16]. Once our local well-posedness result is established, we use the results in [13], to establish global well-posedness in

Z0=

φL2(R2): φL2+ x1yφL2+ x2φL2+ x2y2φL2<.

The question of the local and global well-posedness of KP-I in the energy spaceY = {φL2(R2): φL2+ xφL2+ x1yφL2<∞}remains a challenging open problem.

1. Preliminary estimates

We introduce the space, fors∈R, Hs1(R2)=

uS(R2): uH−1s (R2)<, where

uH−1s (R2)=

1+ |ξ|12

1+ |ξ|2+ |η|2s

·u(ξ, η)ˆ 2dξ dη

1/2

andH1(R2)=

s0Hs1(R2). We recall a local well-posedness result of Iorio and Nunes [7]. ForuHs1(R2), s2 we definex1y2u(ξ, η)= −η2/ξu(ξ, η).ˆ

Lemma 1.1. The Cauchy problem tu+x3ux1y2u+u∂xu=0,

u|t=0=u0 (1.2)

is locally well-posed inHs1(R2), fors >2.

Also, recall that, from [14], if, in addition,u0Z<∞, whereZ= {φL2(R2): φZ<∞}, and φZ= φL2+ x3φL2+ yφL2+ xy2 φL2+ x1yφL2+ x2y2φL2,

thenuin fact extends for all time and remains also inZfor all time.

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Lemma 1.3. Letube a solution to (1.2), withu0H1(R2)Z. LetJxsf (ξ, η)=(1+ |ξ|2)s/2f (ξ, η). Then, forˆ s0, we have, for anyT >0:

sup

0<t <T

JxsuL2xy+ x1yuL2xyCsexp

Cs T

0

xuLxy

Jxsu0L2xy+ x1yu0L2xy .

Proof. We applyJxs to (1.2), multiply byJxsu, and integrate in(x, y). We obtain

t

R2

Jxsu 2

2

R2

x1y2JxsuJxsu+

R2

x3JxsuJxsu= − Jxs(u∂xu)Jxs(u).

The last two terms in the left-hand side of the equality are 0. To bound the right-hand side, we use the Kato and Ponce [9] commutator estimate, in the form

Js(f g)f Js(g)

L2(R)Cs.

xfL(R)Js1gL2(R)+ JsfL2(R)gL(R)

. (1.4)

We thus see that the right-hand side above equals (withf=u,g=xu), integrating first inx, and then iny

= −

uJxsxu.Jxsu+O

xuL(R2)Jxsu2L2(R2)

.

Thus, d dt

|Jxsu|2dx dyCsxuL(R2)Jxsu2L2(R2),

and the desired estimate for JxsuL2(R2) follows. To estimate x1yu, we apply∂x1y to (1.2), multiply by (∂x1yu)and integrate. The right-hand side will be, this time,

y u2

2 ·x1yu= − u∂yu·x1yu= − u∂xx1yu·x1yu= xu∂x1yu∂x1yu

2 ,

and the desired estimate follows. 2

We next recall the Strichartz estimates associated to the free KP-I evolution.

Remark. For future use, forfS(R2)we defineDxaf (ξ, η)= |ξ|af (ξ, η),ˆ Dybf (ξ, η)= |η|bf (ξ, η).ˆ

Lemma 1.5. LetU (t)=exp(−t (∂x3x1y2))be the unitary group defining the free KP-I evolution. Then, the following estimates hold

U (t)φLq

TLrxyφL2,

t

0

U (tt)F (t) dt LqTLrxy

FLq¯ TLrxy¯ , whereq1+1r =q1¯+1r¯−1=12, 2r <+∞, 1<r¯2.

Note that the constant in the two inequalities of Lemma 1.5 is independent ofT. The proof of Lemma 1.5 is given in [17]. Combining Lemma 1.5 with a Sobolev-embedding, we obtain

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Corollary 1.6. For eachT >0,ε >0, we have U (t)φ

L2TLxyCε,T

φL2+ DxεφL2+ DεyφL2

.

Our main new linear estimate is contained in the next lemma. It is an adaptation to the present setting of Proposition 2.8 in [10], which in turn is a reformulation of the main estimate in [12]. See also [15] for another use of the [12] idea in the context of KP-I.

Lemma 1.7. Letδ >0,T(0,1]. Assume thatwC([0, T];H31(R2))is a solution to the linear equation

tw+x3wx1y2w=F.

Then,

xwL1

TLxyCδ,T

sup

0<t <T

J

3 2+

x wL2+ sup

0<t <T

J

3 2+δ

x DδywL2

+ T

0

Jx1/2+FL2+ Jx1/2+δDδyFL2

.

Proof. We use a Littlewood–Paley decomposition ofwin theξ variable. More precisely, ifηC0(12<|ξ|<2), χC0(|ξ|<2), are such that 1=

k=1η(2kξ )+χ (ξ ), and forλ=2k,k1, we definewλ=Qk(w), where Qˆkw(ξ, η)=η(2kξ )w(ξ, η),ˆ w0=Q0(w), and Q0w(ξ, η)=χ (ξ )w(ξ, η). We first estimateˆ xwλL1

TLxy: let us assume, for simplicity, thatT =1. Split[0,1] =

jIj, whereIj = [aj, bj]andbjaj=1/λ,j =1, . . . , λ.

Then,

xwλL1

TLxy

j

xwλL1

IjLxyλ

j

wλL1

IjLxy,

where we have used thatξ η(2kξ )has inverse Fourier transform whoseL1norm inx is bounded byCλ. We now use Cauchy–Schwartz inIj, and continue with

λ1/2

j

wλL2

IjLxy.

We now apply Duhamel’s formula, in eachIj, to obtain, fortIj, wλ(t)=U (taj)wλ(, aj)+

t

aj

U (tt)Fλ(t) dt. We use Corollary 1.6, and continue with

λ1/2

j

Jxδwλ(, aj)

L2+Dyδwλ(, aj)

L2

+λ1/2

j

Ij

JxδFλL2+ DyδFλL2

sup

t∈[0,1]

Jx3/2+δwλ(, t)

L2+Jx3/2Dyδwλ(, t)

L2+ t

0

Jx1/2+δFλL2+ Jx1/2DδyFλL2.

Write noww1=

k1Qk(w), so thatw=w1+w0, andw1=

λwλ. Then,

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xw1

λ

xwλL1

TLxy

k1

sup

t

Jx3/2+δQk(w)

L2+Jx3/2DδyQk(w)

L2

+ T

0

J

1 2+δ

x Qk(F )

L2+Jx1/2DyδQk(F )

L2

k1

2

sup

t

Jx3/2+Qk(w)

L2+Jx3/2+δDδyQk(w)

L2

+ T

0

Jx12+Qk(F )

L2+Jx1/2+δDδyQk(F )

L2

,

and the desired estimate forw1follows. The proof of the estimate forw0is simpler, and Lemma 1.7 follows. 2 Lemma 1.8 (Leibniz rule for fractional differentiation).

(i) For 0< α <1, Dxα(f g)

L2(R)C

DxαfLp1(R)gLq1(R)+ fLr1(R)DxαgLs1(R)

with 12=p11 +q11 =r11 +s11, 1< p1, q1, r1, s1. (See, for example, [11].) (ii) For 0< α,β <1, we have

DxαDyβ(f.g)

L2xyC fLp1

xyDαxDyβgLq1

xy + gLp2

xyDαxDyβfLq2

xy+ DxαgLp3

xyDyβfLq3 xy

+ DβygLp4

xyDxαfLq4 xy

,

where 12=p1

i +q1

i, 1< pi, 1< qi.

The proof of (ii) reduces, using an argument similar to the one given in [9] to a (now two parameter) version of the multilinear theorem of Coifman and Meyer [3]. The proof of (ii) is given in [16] (see also [8]).

2. A priori estimates

In this section we prove:

Lemma 2.1. Letube a solution to (1.2), withu0H1(R2)Z, defined, for allT. Let u0Ys = Jxsu0L2xy+(∂x1yu0)

L2xy.

Then, for anys >3/2, there existsT =Ts, depending only onu0Ys,s, and a constantCT, depending only on u0Ys,s, so that

T

0

xuLxydt+ T

0

uLxydtCT. (2.2)

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Proof. Lets=32+δ0, and chooseδ >0 so that 2δδ0. Let us define

f (T )= xuL1

TLxy+ uL1

TLxy= T

0

xuLxy+ uLxy

dt. (2.3)

We will prove the estimate f (T )Cu0Ys

exp Cf (T )

+1

, (2.4)

for a fixed, universal constantC.

Let us take (2.4) temporarily for granted, and let us conclude the proof of (2.2). We first note that there exists ε0>0 such that, ifu0Ys ε0, then (2.4) implies thatf (1)M, for a universal constantM. This follows from a standard continuity argument. (For instance, letF (X, ε)=Xexp(Cx)−Cε. Note thatF (0,0)=0, and that

∂F

∂X(0,0)=1, ∂F∂ε(0,0)= −2C. The implicit function theorem now guarantees that for 0< ε < ε0, there exists a smooth functionA(ε), which is increasing inε, so thatF (A(ε), ε)=0. IfM=A(u0Ys), andu0Ys ε0, it is easy to see thatf (1)M.) Next, note thatuis a solution of (1.2), with initial datau0, if and only ifuλ(x, y, t)= λ2u(λx, λ2y, λ3t)is a solution of (1.2) with initial datau0,λ(x, y)=λ2u0(λx, λ2y). Sinceu0,λL2=λ1/2u0L2, Dsxu0,λL2 =λ12+sDxsu0L2 andx1yu0,λL2=λ1+1/2x1yu0L2, we can first chooseλ=λ(u0Ys)so thatu0,λYsε0, and apply the above conclusion touλ, to obtain (2.2).

We now turn to the proof of (2.4): we will use Lemma 1.7, and write (1.2) as

tu+x3ux1y2u= −u∂xu.

We then obtain:

xuL1

TLxyCδ,T sup

0<t <T

Jx3/2+uL2+ sup

0<t <T

Jx3/2+δDyδuL2

+Cδ,T T

0

Jx1/2+(u∂xu)

L2+Cδ,T T

0

Jx12+δDδy(u∂xu)

L2

=I+II+III+IV.

To bound I, we use Lemma 1.3 to see that

ICsexp

Cs T

0

xuLxy

u0Ys.

To bound II, we use Plancherel’s theorem, and the fact thatabaqq +bpp, p1+q1=1, to see that 1+ |ξ|32+δ

.|η|δ=

1+ |ξ|32+δ

.|ξ|δ. |η|

|ξ|

δ

1+ |ξ|(32+2δ)|η|

|ξ|

δ

1+ |ξ|(32+2δ)/(1δ)

+|η|

|ξ|, where we have chosenq=1/δ,p=1/(1−δ). If nowδis chosen so small that(32+2δ)/(1−δ)32+δ0, we see that IIsup0<t <TuYs, and in view of Lemma 1.3,

IICsexp

Cs

T

0

xuLxy

u0Ys.

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In order to estimate III, we use thatJx1/2+(f )L2 fL2 + Dx1/2+(f )L2, to bound III by III1+III2. For III1 we see that it is bounded by sup0<t <TuL2.T

0 xuL, and hence it has the desired bound because Lemma 1.3 gives sup0<t <TuL2Cu0Ys.expCs

T

0 xuL. For III2, we use Lemma 1.8(i), to obtain:

III2 T

0

D

1 2+

x xuL2uL+ xuLD

1 2+ x uL2

(in view of Lemma 1.3)Csu0Ysexp

Cs

T

0

xuL

× T

0

uL+Csu0Ys

T

0

xuLexp

Cs T

0

xuL

Csu0Ysexp

Csf (T ) . Finally, for IV, we bound it first byT

0 Dyδ(u∂xu)L2+T

0 D

1 2+δ

x Dyδ(u∂xu)L2=IV1+IV2. To bound IV1, we use Lemma 1.8(i), in theyvariable, to see that

IV1 T

0

Dyδ(u)

L2xuL+ uLDδyxuL2 =IV1,1+IV1,2.

To bound IV1,1, we will use Plancherel’s theorem for the first factor, and the inequalities

|η|δ= |ξ|δ |η|

|ξ|

δ

1+ |ξ|δ|η|

|ξ|

δ

1+ |ξ|δ/1δ +|η|

|ξ|,

whereδis chosen so thatδ/(1δ)3/2+δ0. This shows that (using Lemma 1.3) IV1,1Csu0YsexpCs

T

0

xuL.

For IV1,2we proceed similarly, using that

|η|δ|ξ| = |ξ|1+δ |η|

|ξ|

δ

1+ |ξ|1+δ

|η|

|ξ|

δ

1+ |ξ|(1+δ)/(1δ)

+|η|

|ξ|,

and choosingδso that(1+δ)/(1δ)3/2+δ0. This gives the bound IV1,2Csu0Ysexp(Csf (T )). We next turn to IV2, and use Lemma 1.8(ii) to bound it by

T

0

xuLD

1 2+δ

x DδyuL2+ T

0

xD

1 2+δ

x DδyuL2uL

+ T

0

D

1 2+δ

x uLDyδxuL2+ T

0

DδyuLp1D1/2x +δxuLq1,

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wherep1

1+q11 =12are to be determined. We call each one of these four terms IV2,i. To bound IV2,1, we again use Plancherel, and

|ξ|12+δ|η|δ

1+ |ξ|1

2+

|η|

|ξ|

δ

1+ |ξ|(12+2δ)/(1δ)

+|η|

|ξ|, and if(12+2δ)/(1−δ)32+δ0, Lemma 1.3 shows that

IV2,1Csu0Ysexp

Cs

T

0

xuL

. For IV2,2we proceed similarly, using that

|ξ| |ξ|12+ |η|

|ξ|

δ

1+ |ξ|(3

2+2δ)/(1δ)

+|η|

|ξ|,

and the fact that(32+2δ)/(1−δ)32+δ0. We obtain, using Lemma 1.3, that IV2,2Csu0Ysexp

Csf (T ) .

In order to bound IV2,3, we will use the following inequality(δ <12) D

1 2+δ

x uLxyuLxy+ xuLxy. (2.5)

To establish (2.5), let us use a Littlewood–Paley decomposition, as in the proof of Lemma 1.7, and writeu= u0+u1, as in that proof. In order to estimateD

1 2+δ

x u0, note that, iff (ξ )ˆ = |ξ|1/2+δχ (ξ ), thenfL1(R). Hence, D

1 2+δ

x u0LxyuLxy. Moreover, in order to estimateD

1 2+δ

x u1=

k1D

1 2+δ

x Qku, note that D

1 2+δ

x Qku(ξ, η)= |ξ|12+δη(2kξ )u(ξ, η)ˆ

=|ξ|12+δ

ξ ξ η(2kξ )u(ξ, η)ˆ =2k(12δ)|2kξ|12+δ

(2kξ ) η(2kξ )ξu(ξ, η),ˆ and that ifg(ξ )ˆ =(|ξ|12+δ/ξ )η(ξ ), thengL1(R). Thus,D

1 2+δ

x QkuLxy 2k(21δ)xuLxy, and (2.5) follows.

Because of (2.5), IV2,3is bounded by

sup

0<t <T

DδyxuL2

T 0

uL+ xuL

. Using Plancherel, and

|η|δ|ξ| |η|

|ξ|

δ

1+ |ξ|1+δ

|η|

|ξ|+

1+ |ξ|1+δ/(1δ)

,

choosingδso that(1+δ)/(1δ)32+δ0, and using Lemma 1.3, we see that IV2,3Csu0Ysexp

Csf (T ) .

To bound IV2,4, we need to prove first a couple of auxiliary estimates:

D1/2x +δxuLs1

TLqxy1xuθL1

TLxy· Jx3/2+δ0u1Lθ

TL2xy, (2.6)

DδyuLr1 TLpxy1

uL1

TLxy

η

D1/2y uLTL2xy+ uLTL2xy

1η

, (2.7)

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