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Introduction In this paper we consider the Schr¨odinger equation, with a quadratic derivative term, Lu=t−α|ux|2, t, x∈R u(0, x) =u0(x), x∈R, (1.1) whereL=i∂t+12∂x2, andα∈(0,1)

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ISSN: 1072-6691. URL: http://ejde.math.swt.edu or http://ejde.math.unt.edu ftp ejde.math.swt.edu (login: ftp)

ASYMPTOTIC BEHAVIOUR FOR SCHR ¨ODINGER EQUATIONS WITH A QUADRATIC NONLINEARITY IN ONE-SPACE

DIMENSION

NAKAO HAYASHI & PAVEL I. NAUMKIN

Abstract. We consider the Cauchy problem for the Schr¨odinger equation with a quadratic nonlinearity in one space dimension

iut+1

2uxx=t−α|ux|2, u(0, x) =u0(x),

whereα(0,1). From the heuristic point of view, solutions to this problem should have a quasilinear character whenα(1/2,1). We show in this paper that the solutions do not have a quasilinear character for allα(0,1) due to the special structure of the nonlinear term. We also prove that forα[1/2,1) if the initial datau0 H3,0H2,2 are small, then the solution has a slow time decay such ast−α/2. Forα(0,1/2), if we assume that the initial data u0 are analytic and small, then the same time decay occurs.

1. Introduction

In this paper we consider the Schr¨odinger equation, with a quadratic derivative term,

Lu=tα|ux|2, t, x∈R

u(0, x) =u0(x), x∈R, (1.1) whereL=i∂t+12x2, andα∈(0,1). The Cauchy problem for Schr¨odinger equations with a cubic derivative term was studied in [9]. There the authors considered

Lu=t1δF(u, ux), t, x∈R

u(0, x) =u0(x), x∈R, (1.2)

where 0< δ < 1, is a sufficiently small constant, and the nonlinear interaction termF consists of cubic nonlinearities.

F(u, ux) =λ1|u|2u+iλ2|u|2ux+iλ3u2x4|ux|2u+λ5uu¯ 2x+iλ6|ux|2ux, where the coefficients λ1, λ6 ∈R, λ2, λ3, λ4, λ5∈C, λ2−λ3∈R, λ4−λ5∈R. In [9], the authors found a time decay estimate for the solutions of this problem,

ku(t)k≤C|t|1/2. (1.3)

2000Mathematics Subject Classification. 35Q55, 74G10, 74G25.

Key words and phrases. Schr¨odinger equation, large time behaviour, quadratic nonlinearity . 2001 Southwest Texas State University.c

Submitted May 22, 2001. Published July 25, 2001.

1

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The same result is also true for the case δ > 1. From the heuristic point of view problem (1.1) corresponds to problem (1.2), when δ = α+ 12. Therefore it is natural to make a conjecture that the solutions of (1.1) also have the decay property (1.3). However, as we will show in the present paper, due to the special oscillating structure of the nonlinear term, forα∈(0,1) the asymptotic behavior of solutions to (1.1) do not obey the estimate (1.3). Our result stated below depends on the structure of nonlinearity which appears in the identity

(FU(−t)|ux|2)(t, ξ) = (2π)1/2 Z

eitξη(FU(−t)ux(t, η))(FU(−t)ux)(t, ξ+η)dη.

In the cases ofu2xand ¯u2xwe have (FU(−t)u2x)(t, ξ)

= (2π)1/2ei42 Z

eity2(FU(−t)ux)(t,ξ

2 −y)(FU(−t)ux)(t,ξ 2+y)dy and

(FU(−t)¯u2)(t, ξ)

= (2π)1/2e3i42 Z

eity2(FU(−t)ux)(t,ξ

2−y)(FU(−t)ux)(t,ξ

2 +y)dy, whereU(t) is the linear Schr¨odinger evolution group

U(t)φ= 1

√2πit Z

e2ti(xy)2φ(y)dy=F1eit2ξ2Fφ, Fφ≡φˆ= 1

R eixξφ(x)dxdenotes the Fourier transform of the functionφ. The oscillating functione±ity2 yields an additional time decay term through integration by parts. However, the oscillating functione±itξy does not give an additional time decay uniformly with respect to ξ. This is the main reason why we do not have estimate (1.3) for solutions of (1.1). In [6] we proved (1.3) for solutions of the Cauchy problem

Lu=λ(ux)2+µu2x, withλ, µ∈C.

However, the nonlinearity |ux|2 was out of our scope. In the present paper we intend to fill up this gap studying the case of quadratic nonlinearity tα|ux|2. The methods developed for the nonlinear Schr¨odinger equations with quadratic nonlinearities u2x, |ux|2 and u2x can be applied also to the study of the large time asymptotic behavior for other quadratic nonlinear equations, such as Benjamin- Ono and Korteweg-de Vries equations (in paper [8], mBO equation was reduced to the cubic nonlinear Schr¨odinger equation). In paper [2], Cohn used the method of normal forms of Shatah [11] to study the nonlinear Schr¨odinger equations with quadratic nonlinearity u2x and showed that the solution exists on [0, T) with T bounded from below byCε6, whereεis the size of the data in some Sobolev norm.

In paper [10] the nonlinearityu2xwas studied by the Hopf-Cole transformation. The L2-estimate of solutions involving the operator J =x+it∂x plays a crucial role in the large time asymptotic behavior of solutions. However the nonlinearityN(u) under consideration does not posses a self-conjugate structureeN(u) =N(eu) for all ω ∈ R, therefore we can not use the operator J = x+it∂x directly in (1.1). To overcome these obstacles we use the method developed in [7] and apply systematically the operatorI =x∂x+ 2t∂t.

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We now state our strategy for the proof. If we putv=ux. Then the problem is written as

Lv=tαx|v|2, t, x∈R. By the identity

xJ |v|2=∂x(vJv+itvxv) =vJ∂xv+ 2vxJv−vJ∂xv we have

LJv=tαJ∂x|v|2=tα(−|v|2+vJ∂xv+ 2vxJv−vJ∂xv).

Therefore, the operatorJ acts on this problem also. Thus global existence in time of small solutions to the problem can be proved forα∈(1/2,1) and the derivative uxshould have the same asymptotic behaviour as the solutions to the corresponding linear problem (along with time-decay estimate (1.3)). Combining this fact and the identity (1) we prove the time decay of solutions. Roughly speaking, we show there exists a constantcand a positive constant γsuch that

|u(t,√

t)−ctα/2| ≤Ct(α/2)γ. In the case ofα∈(0,1/2) we use the fact that

x|u|2= 1

it(uJu−uJu)

which implies that usual derivative yields an additional time decay, in particular, the fractional derivative|∂x|βgives us an additional time decay liketβ(see Lemma 2.4 below). However we have the derivative loss on the nonlinear term which requires us to use some analytic function space.

To state our results we need some notation. We denote the inverse Fourier transformation byF1φ= ˇφ=1

Reixξφ(ξ)dξ. We essentially use the estimates of the operatorsJ =x+it∂x=U(t)xU(−t) =itM(t)∂xM(t) andI =x∂x+ 2t∂t, M =e(ix2)/(2t). Note that the relationJ∂x=I+2itLis valid, whereL=i∂t+12x2 andU(t) =M(t)D(t)FM(t),D(t) is the dilation operator defined by (D(t)ψ)(x) = (1/√

it)ψ(x/t). Then sinceD1(t) =iD(1/t) we haveU(−t) =MF1D1(t)M = iMF1D(1/t)M.

We denote the usual Lebesgue space Lp = {φ ∈ S0;kφkp < ∞}, where the normkφkp= (R

R|φ(x)|pdx)1/p if 1≤p <∞and kφk= ess.sup{|φ(x)|;x∈R}if p=∞. For simplicity we writek · k=k · k2. Weighted Sobolev space is

Hpm,k=

φ∈S0:kφkm,k,p

hxikhi∂ximφ

p<∞ , m, k∈R, 1≤p≤ ∞,hxi=√

1 +x2. The fractional derivative|∂x|α,α∈(0,1) is equal to

|∂x|αφ=F1|ξ|αFφ=C Z

R

(φ(x+z)−φ(x)) dz

|z|1+α.

We denote also for simplicity Hm,k = H2m,k and the norm kφkm,k = kφkm,k,2. Different positive constants are denoted by the same letter C. Denote Φ(x) = Rei2x)2|ξ|α1dξ.

Now we state the main results of this paper.

Theorem 1.1. Let α∈[1/2,1). We assume that the initial data u0∈H3,0∩H2,2 and the norm ku0k3,0+ku0k2,2 is sufficiently small. Then there exists a unique global solutionuof the Cauchy problem (1.1) such thatu∈C(R;H3,0). Moreover

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there exist unique constant B and functions P, Q such that |ξ|1αP(ξ)∈ L(R),

|ξ|1αQ(ξ)∈L(R)and the following asymptotic statement is valid u(t, x) =Beix

2

2t tα2Φ( x

√t) +O(tα2γ(h x

√tiα1+h x

√tiα)) (1.4) for allt≥1, uniformly in|x| ≤t1ρ, and

u(t, x) =tαP(x t) +eix

2 2t 1

√tQ(x

t) +O(tαγ+t12γhx

tiα) (1.5) for allt≥1, uniformly in|x| ≥t1ρ, whereρ, γ >0 are small.

In the case α ∈ (0,1/2) we have to assume that the initial data are analytic.

Denote

A0=

φ∈L2:kφkA0 ≡ X n=0

1

n!k|∂x|12α(x∂x)nφk1,0<∞ .

Theorem 1.2. Let α∈(0,1/2). We assume that the initial datau0∈Aand the normku0kA0 is sufficiently small. Then there exists a unique global solutionu of the Cauchy problem (1.1) such that u∈C(R;H1,0). Moreover there exist unique constant B and functionsP, Q such that asymptotics (1.4) and (1.5) are valid.

Remark 1.1. In the region|x|=t1ρ asymptotics (1.4) coincides with (1.5).

In Section 2 we prove some preliminary estimates. In Section 3 we prove Theorem 1.1. Section 4 is devoted to the proof of Theorem 1.2.

2. Preliminaries First we prove some time decay estimates.

Lemma 2.1. We have the estimate

kuxk≤Ct1/2kFU(−t)uxk+Ct1+β−γ2 (kuxk+k|∂x|12βJ∂xuk), for allt >0, whereβ ∈(0,12],γ∈(0, β).

Proof. Denote w = U(−t)ux. Then since U(t) = MDFM, where M = eix2t2, Dφ= 1

itφ(xt) is the dilation operator,J =x+it∂x=U(t)xU(−t), we get ux=U(t)w=MDFw+MDF(M−1)w

and by virtue of the H¨older inequality and Sobolev embedding theorem kφkp ≤ Ck|∂x|121pφkif 2≤p <∞, we have

kMDF(M −1)wk

≤ Ct1/2kF(M−1)wk≤Ct1/2k(M −1)wk1≤Ct1+β−γ2 k|x|βγwk1

≤ Ct1+β−γ2 (kwk+kxwk1β)≤Ct1+β−γ2 (kwk+k|∂x|12βxwk)

≤ Ct1+β−γ2 (kuxk+k|∂x|12βxU(−t)uxk)

≤ Ct1+β−γ2 (kuxk+k|∂x|12βJ∂xuk),

therefore the result of the lemma follows. Lemma 2.1 is proved.

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Denote

kφkY = sup

t>0

tαhti1k∂tφk0,1,+ sup

t>0

tγk|ξ|12βξφk+ sup

t>0kφk0,1,, where β ∈ (0,12], γ > 0 is small. In the next lemma we obtain the asymptotic representation asξ→0 for the integral

I= Z t

0

ταdτ Z

eiτ ξηφ1(τ, ξ+η)φ2(τ, η)dη which corresponds to the identity (1).

Lemma 2.2. If φl∈Y, l= 1,2, then we have I = Γ(1−α)|ξ|α1(sin(πα

2 ) Z

φ1(t, η)φ2(t, η)|ξ|α1dη +isignξcos(πα

2 ) Z

φ1(t, η)φ2(t, η)|η|α1signη dη) +O(tγ|ξ|α11kY2kY).

for all|ξ| ≤tµ,t≥1, whereµ= α2,γ >0 is small.

Proof. We writeI=P4

l=1Il, where I1=

Z tν/|ξ| 0

ταdτ Z

eiτ ξηφ1(t, η)φ2(t, η)dη, I2=

Z t

tν/|ξ|

ταdτ Z

eiτ ξηφ1(τ, ξ+η)φ2(τ, η)dη, I3=

Z tν/|ξ| 0

ταdτ Z

eiτ ξη1(τ, η)φ2(τ, η)−φ1(t, η)φ2(t, η))dη I4=

Z tν/|ξ| 0

ταdτ Z

eiτ ξη1(τ, ξ+η)−φ1(τ, η))φ2(τ, η)dη, whereν = 2γ/α. Ifτ|ξ| ≥1, we integrate by parts with respect toη to obtain

| Z

eiτ ξηφ1(t, x+η)φ2(t, η)dη|

≤ hτ ξi1| Z

eiτ ξηη1(t, x+η)φ2(t, η))dη|

≤ Chτ ξi1tγ

2

X

l=1

3lksup

t>0

tγk|ξ|12γξφlk ≤Chτ ξi1tγ1kY2kY, hence changingτ|ξ|=zwe obtain

| Z

tν/|ξ|

ταdτ Z

eiτ ξηφ1(t, x+η)φ2(t, η)dη|

≤ Ctγ1kY2kY

Z tν/|ξ|

hτ ξi1ταdτ ≤Ctγ|ξ|α11kY2kY

Z tν

zα1dz

≤ C|ξ|α1tγαν1kY2kY ≤Ctγ|ξ|α11kY2kY.

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Since Z

0

ταeiτ ξηdτ = Z

0

ταcos(τ ξη)dτ +i Z

0

ταsin(τ ξη)dτ

= Γ(1−α) sin(πα

2 )|ξη|α1 +iΓ(1−α) cos(πα

2 )|ξη|α1sign(ξη) (see [1]), we find

I1 = Z

0

ταdτ Z

eiτ ξηφ1(t, η)φ2(t, η)dη

− Z

tν/|ξ|

ταdτ Z

eiτ ξηφ1(t, η)φ2(t, η)dη

= Γ(1−α) sin(πα 2 )|ξ|α1

Z

φ1(t, η)φ2(t, η)|η|α1dη +iΓ(1−α) cos(πα

2 )|ξ|α1 Z

sign(ξη)φ1(t, η)φ2(t, η)|η|α1dη +O(tγ|ξ|α11kY2kY).

In the same manner we obtain

| Z t

tν/|ξ|

ταdτ Z

eiτ ξηφ1(τ, x+η)φ2(τ, η)dη|

≤ Ctγ1kY2kY

Z t

tν/|ξ|

hτ ξi1ταdτ ≤Ctγ|ξ|α11kY2kY, hence

|I2| ≤Ctγ|ξ|α11kY2kY. To estimateI3 we note that

l(t, ξ)−φl(τ, ξ)k0,1,=k Z t

τ

τφl(τ, ξ)dτk0,1,=O(ταlkY) which implies

|I3| = | Z tν/|ξ|

0

ταdτ Z

eiτ ξη1(τ, η)φ2(τ, η)−φ1(t, η)φ2(t, η))dη|

≤ Ckφ1kY2kY| Z tν/|ξ|

0

τdτ| ≤Ctγ|ξ|α11kY2kY

sinceµα≥γ+ν and|ξ| ≤tµ. Now using the estimate khηi1(φ(t, ξ+η)−φ(t, η))k1 = khηi1

Z ξ

0

yφ(t, y+η)dyk1

≤ C|ξ|k|ξ|12βξφk ≤Ctγ|ξ|kφkY

for all|ξ| ≤1, we get

|I4| ≤Ckφ1kY2kY|ξ| Z tν/|ξ|

0

τγαdτ ≤Ctγ|ξ|α11kY2kY

sinceµ(1−γ)≥γ+ν and|ξ| ≤tµ. Lemma 2.2 is proved.

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In the next lemma we consider the asymptotic behaviour of the integral I(t, x) =

Z

eit2xt)2f(t, ξ)dξ

as t → ∞uniformly with respect to x∈ R. Define Φ(x) = R

ei2x)2|ξ|α1dξ.

Note that

Φ(x) =O(hxiα+hxiα1) as|x| → ∞. Letγ be a small positive number and

β = min(1/2, α)−γ, µ= 3γ/α2, ρ= 5γ

α2(1−α), θ= 6γ

α2(1−α)2, δ=θ+γ.

Lemma 2.3. Let ∂ξf(t, ξ) =O(|ξ|α2) and f(t, ξ) =t1αΨ(tξ) +O(t1αδ)for all|ξ| ≤tθ1,∂ξf(t, ξ) = (α−1)B|ξ|α1ξ1+O(tγ|ξ|α2)for alltθ1≤ |ξ| ≤tµ andk|ξ|12βξ∂ξf(t, ξ)k ≤Ctγ, then we have the asymptotic formula

I(t, x) =Btα2Φ(xt12) +O(tα2γ(hxt12iα+hxt12iα1)) for allt≥1uniformly in |x| ≤t1ρ and

I(t, x) =√

2πtαeix

2 2t Ψ(ˇ x

t) +

√π

√itf(t,x

t) +O(tαγ+t12γhxt1iα) for allt≥1uniformly in |x| ≥t1ρ.

Proof. Forx >0, we have f(t, ξ) = f(t,1) +

Z ξ

t−µ

ηf(t, η)dη+ Z t−µ

1

ηf(t, η)dη

= f(t,1) + (α−1)B Z ξ

t−µ

|η|α2dη+O(tγ Z ξ

t−µ

|η|α2dη)

+O(k|ξ|12βξ∂ξf(t, ξ)k( Z t−µ

1

|ξ|3dξ)1/2)

= B|ξ|α1+O(1 +tγ|ξ|α1+tµ(1β)+γ)

= B|ξ|α1+O(tγ|ξ|α1)

for all tµ1 ≤ |ξ| ≤ 2tρ sinceµ(1−β) + 2γ ≤ρ(1−α). We make a change of variable of integrationξ=zt1/2, then we have

I(t, x) =t1/2 Z

e2i(zb)2f(t, zt1/2)dz, where b = a√

t = x/√

t. First consider the case |x| ≤ t1ρ, i.e. b ≤ t12ρ. We represent

I=Btα2Φ(b) +R1+R2, where the remainder terms are

Rj=t1/2 Z

ei2(zb)2(f(t, zt1/2)−Bt1−α2 |z|α1j(z)dz,

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the function ϕ1(z) ∈ C1(R) : ϕ1(z) = 1 if z < b/3 and ϕ1(z) = 0 if z > 2b/3, ϕ2(z) = 1−ϕ1(z). In the remainder termR1we integrate by parts via the identity

e2i(zb)2 = 1 1−iz(z−b)

d

dz(ze2i(zb)2) (2.1) to get

|R1| ≤ Ctα2γ Z

|z|α1hzbi1(|ϕ1|+|zϕ01|)dz +Ctα2

Z

|z|≤tµ−12

|z|α1hzbi1dz

≤ Ctα2γhbiα≤Ctα2γha√

tiα. (2.2)

In the remainder termR2 we use the identity ei2(zb)2= 1

1−i(z−b)2 d

dz((z−b)e2i(zb)2) (2.3) to find

|R2| ≤ Ctα2γ Z

|z|α1hz−bi2(|ϕ2|+|zϕ02|)dz +Ctα2

Z

|z|≤tµ−12

|z|α1hz−bi2dz +Ct1/2

Z

|z|>2t12−ρhz−bi2|zt1/2||f0(t, zt1/2)|dz

= O(tα2γhbiα1) =O(tα2γha√

tiα1), (2.4) since

Z

|z|>2t12−ρhz−bi2|zt1/2||f0(t, zt1/2)|dz

≤ Ck|ξ|12βξf0(t, ξ)k( Z

|z|>2t12−ρ|zt1/2|1hz−bi4dz)1/2

≤ Ct1−2β4 hbi1k|ξ|12βξf0(t, ξ)k( Z

|z|>2t12−ρ

z3dz)1/2

≤ Ct14+ρ(1β)hbi1k|ξ|12βξf0(t, ξ)k ≤Ctγhbi1.

We consider now the case |x| > t1ρ, i.e. b > t12ρ. Then we represent I in the form

I=t1/2 Z

|z|≤tθ−12

e2i(zb)2f(t, zt1/2)dz+ rπ

itf(t, a) +R3+R4, where the remainder terms are

R3=t1/2 Z

|z|>tθ−12

ei2(zb)2f(t, zt1/21(z)dz R4=t1/2

Z

e2i(zb)2(f(t, zt1/2)−f(t, a))ϕ2(z)dz.

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Consider the integral t1/2

Z

|z|≤tθ−12

e2i(zb)2f(t, zt1/2)dz= Z

|ξ|≤tθ−1

e2it(ξa)2f(t, ξ)dξ

= t1α Z

|ξ|≤tθ−1

e2it(ξa)2Ψ(tξ)dξ+O(tαγ)

= tαeix

2 2t

Z

|y|≤tθ

eiyaΨ(y)dy+O(tαγ)

= √

2πtαeix

2

2tΨ(a) +b O(tαγ).

In the remainder termR3 above we integrate by parts via identity (2.1) to get

|R3| ≤ Ctα2 Z

|z|≥tθ−12

|z|α1hzbi1(|ϕ1|+|zϕ01|)dz +Ct1/2

Z

|z|>2t12−ρhzbi1|zt1/2||f0(t, zt1/2)|dz (2.5)

≤ Ctα+ρθ(1α)+Ctαγ ≤Ctαγ

sinceθ(1−α)−ρ≥γ. In the remainder termR4 we integrate by parts via (2.3) to find

|R4| ≤ Ct1/2 Z

b/3

|f(t, zt1/2)−f(t, a)|hz−bi4dz +t1

Z b/3

|f0(t, zt12)|hz−bi1dz (2.6)

≤ C|a|1tγ1+β2 ≤Chai1t12γ, since

|f(t, zt1/2)−f(t, a)| = | Z a

zt−1/2

ξf(t, ξ)dξ| ≤ Z a

zt−1/2

|ξ|β32|ξ|32β|∂ξf(t, ξ)|dξ

≤ Ck|ξ|12βξ∂ξf(t, ξ)k( Z a

zt−1/2

|ξ|3dξ)1/2

≤ C|a|1tγβ2|z−b|β.

Collecting estimates (2.2), (2.4)-(2.6) we get the asymptotic statement needed and

Lemma 2.3 is proved.

In the next lemma we obtain time-decay estimate via additional derivative for the nonlinear term. We will use this estimate in the proof of Theorem 1.2.

Lemma 2.4. We have the estimate k|∂x|12β(uxvx)k1,0

≤ Ctβ1k|∂x|12βuk1,0k|∂x|12βvk1,0

+Ct1(tβkFU(−t)uxk+k|∂x|12βuk1,0)k|∂x|12βJ∂xvk1,0

+Ct1(tβkFU(−t)vxk+k|∂x|12βvk1,0)k|∂x|12βJ∂xuk1,0

for allt >0, whereβ ∈(0,1/2].

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Proof. Application of the Fourier transformation yields F(uxvx) = 1

√2π Z

ˆ

u(t, ξ+η)ˆv(t, η)(ξ+η)ηdη,

then changingiηˆu(t, η) =eit2η2φ(t, η) andiηˆv(t, η) =eit2η2ψ(t, η) we obtain FU(−t)(uxvx) = 1

√2π Z

eitξηφ(t, ξ+η)ψ(t, η)dη, (2.7) whence integrating by parts with respect toη we get

k|∂x|12β(uxvx)k=Ck|ξ|12βFU(−t)(uxvx)k

= Ck|ξ|12β Z

eitξηφ(t, ξ+η)ψ(t, η)dηk

≤ Ckhtξi1|ξ|12βk(k Z

eitξηφ(t, ξ+η)ψ(t, η)dηk

+k Z

eitξηφξ(t, ξ+η)ψ(t, η)dηk +k

Z

eitξηφ(t, ξ+η)ψη(t, η)dηk)

≤ Ctβ1kφkkψk+Ctβ1kφkk|ξ|12βξψk+Ctβ1kψkk|ξ|12βξφk

≤ Ctβ1kuxkkvxk+Ctβ1kFU(−t)uxkk|∂x|12βJ∂xvk +Ctβ1kFU(−t)vxkk|∂x|12βJ∂xuk

and

k|∂x|32β(uxvx)k=Ck|ξ|32βFU(−t)(uxvx)k

= Ck|ξ|32β Z

eitξηφ(t, ξ+η)ψ(t, η)dηk

≤ Ct1(k|ξ|12β Z

eitξηφξ(t, ξ+η)ψ(t, η)dηk +Ck|ξ|12β

Z

eitξηφ(t, ξ+η)ψη(t, η)dηk)

≤ Ct1khξi12βφkk∂ξψk1+Ct1kφkk|ξ|12βξψk1

+Ct1khξi12βψkk∂ξφk1+Ct1kψkk|ξ|12βξψk1

≤ Ct1k|∂x|12βuk1,0k|∂x|12βJ∂xvk1,0

+Ct1k|∂x|12βvk1,0k|∂x|12βJ∂xuk1,0.

Lemma 2.4 is proved.

3. Proof of Theorem 1.1

By virtue of the method in [4], [5] (see also the proof of a-priori estimates below in Lemma 3.2) we easily obtain the local existence of solutions in the functional space

XT =

φ∈C((−T, T);L2(R)) : sup

t(T ,T)

kφ(t)kX<∞ ,

(11)

where the norm inXis

kukX = htiγkuk3,0+htiγkIuk1,0+htikI2uk +tαhti1k∂tFU(−t)ux(t)k0,1,,

withI=x∂x+ 2t∂t.

Theorem 3.1. Let the initial datau0∈H3,0∩H2,2. Then for some time T > 0 there exists a unique solution u∈XT of the Cauchy problem (1.1). If we assume in addition that the norm of the initial data ku0k3,0+ku0k2,22 is sufficiently small, then there exists a unique solution u∈ XT of (1.1) for some time T > 1, such that the following estimatesupt[0,T]kukX< εis valid.

In the next lemma we obtain the estimates of global solutions in the normX.

Lemma 3.2. Let α∈[1/2,1). We assume that the initial data u0 ∈H3,0∩H2,2 and the norm ku0k3,0 +ku0k2,2 = ε2 is sufficiently small. Then there exists a unique global solution of the Cauchy problem (1.1) such that u∈ C(R;H3,0) and the following estimate is valid

sup

t>0kukX< ε. (3.1)

Proof. Applying the result of Theorem 3.1 and using a standard continuation ar- gument we can find a maximal timeT >1 such that the inequality

kukX≤ε (3.2)

is true for all t ∈ [0, T]. If we prove (3.1) on the whole time interval [0, T], then by the contradiction argument we obtain the desired result of the lemma. In view of the local existence Theorem 3.1 it is sufficient to consider the estimates of the solution on the time intervalt≥1 only.

As a consequence of (3.2) we have kFU(−t)ux(t)k0,1, ≤ Cε+

Z t

0

k∂τFU(−τ)ux(τ)k0,1,

≤ Cε+Cε Z t

0

hτiγ1ταdτ ≤Cε.

Note thatJ∂x=I+ 2itL, whereJ =x+it∂x. Hence

kJ∂xuk1,0≤ kIuk1,0+CtkLuk1,0≤ kIuk1,0+Ct1/2kuxkkuk2,0

and

kJ∂xIuk ≤ kI2uk+CtkLIuk ≤ kI2uk+Ct1/2kuxk(kuxk+kIuxk).

Then by Lemma 2.1 withβ =12, using estimate (3.4) we find

kuxk1,0, ≤ Ct1/2kFU(−t)uxk0,1,+Ctγ234(kuk2,0+kJ∂xuk1,0)

≤ Cεt1/2+Cεt14kuxk, whence

kuxk1,0,≤Cεt1/2. (3.3) Therefore by virtue of (3.2) we have also the estimates

tγkJ∂xuk1,0+tkJ∂xIuk ≤Cε. (3.4)

(12)

Let us estimate norms kuk3,0, kIuk1,0 and kI2uk. Differentiating three times equation (1.1) we get forh0= (1 +∂x3)u

Lh0=tα(uxxh0+uxxh0) +R0 where

L=i∂t+1

2∂x2, R0=tα(−|ux|2+ 3uxxuxxx+ 3uxxxuxx).

Via (3.2), (3.3) we have the estimate

kR0k ≤Ctαkuxk1,0,kh0k ≤Cε2tγ1.

Applying the operatorI to both sides of equation (1.1) and using the commutator relationsLI= (I+ 2)Land [I, tα] =−2αtα, we find

Lhk =tα(uxxhk+uxxhk) +Rk, (3.5) wherek= 1,2,h1= (1 +∂x)Iu,h2=I2u,

R1=tα(uxxIux+uxxIux+ 2(1−α)(1 +∂x)|ux|2), and

R2= 2tα(|Iux|2+ (2−α)I|ux|2+ 2(1−α)2|ux|2).

By (3.2) and (3.4) we have

kIuxIuxk ≤Ct12kIuxk32kJ Iuxk1/2≤Cε2t12, then by virtue of (3.2), (3.3) we estimate the remainder terms

kR1k ≤Ct1/2kuxk1,0,(kuk1,0+kIuk1,0)≤Cε2tγ1 and

kR2k ≤Ct1/2kuxk(kuk1,0+kIuk1,0) +Ct1/2kIuxIuxk ≤Cε2t1. To cancel the higher-order derivativetαxxhk, we multiply (3.5) byE≡et−αu¯. The other higher-order derivativetαuxxhk will be eliminated via integration by parts. Since E(L −tαuxx) = (L −g)E, where g = −tαuxx+ 12t(ux)2− t|ux|2, from equation (3.5) we obtain

LEhk =tαuxE∂xhk+ERk+gEhk. (3.6) Note thatkEk1,0,≤C andkgk≤Cεt1by virtue of (3.2), (3.3). Applying the energy method to (3.6) we obtain

d

dtkEhkk2≤Ctα| Z

uxE∂x(hk)2dx|+C(kERkk+kgEhkk)kEhkk, whence integration by parts yields

d

dtkEhkk ≤Cεt1kEhkk+CkRkk, (3.7) where k = 0,1,2. Integrating (3.7) with respect to time t ∈ [1, T] we obtain the estimate

htiγkuk3,0+htiγkIuk1,0+htikI2uk< ε

2. (3.8)

for allt ∈ [0, T]. We now estimate k∂tFU(−t)ux(t)k0,1,. We apply the Fourier transformation to equation (1.1), then changing the dependent variable Fux = eit2ξ2w, in view of (2.7) we obtain

iwt(t, ξ) =−iξtα

√2π Z

eitξηw(t, ξ+η)w(t, η)dη, (3.9)

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