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2003 Éditions scientifiques et médicales Elsevier SAS. All rights reserved S0294-1449(02)00008-2/FLA

CLUSTERING LAYERS AND BOUNDARY LAYERS IN SPATIALLY INHOMOGENEOUS PHASE

TRANSITION PROBLEMS

COUCHES LIMITES DANS DES PROBLÈMES DE TRANSITION DE PHASE

SPATIALEMENT INHOMOGENES

Kimie NAKASHIMA1, Kazunaga TANAKA1,∗

Department of Mathematics, School of Science and Engineering Waseda University, 3-4-1 Ohkubo, Shinjuku-ku, Tokyo 169-8555, Japan

Received 12 February 2001

RÉSUMÉ. – Nous étudions dans cet article l’existance de solutions « multi-couches » du problème de transition de phase suivant :

ε2uxx+Wu(x, u)=0 in(0,1), ux(0)=ux(1)=0

ε >0 est un petit paramètre et W (x, u) est un potentiel à double parts « équlibre ». En particulier, nous montrons l’existence de solutions avec couches limites et couches.

2003 Éditions scientifiques et médicales Elsevier SAS

0. Introduction

In this paper we study the existence of solutions with multiple transition layers for the following spatially inhomogeneous problem of Allen–Cahn type:

−ε2uxx+Wu(x, u)=0 in(0,1),

ux(0)=ux(1)=0. (0.1)

Here ε >0 is a small parameter and W (x, u) is a double-well potential. A typical example of W (x, u) is 14h(x)2(1u2)2 with h(x):[0,1] →(0,) and in this case

Corresponding author.

E-mail address: kazunaga@waseda.jp (K. Tanaka).

1Authors are partially supported by Waseda University Grant for Special Research Projects.

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(0.1) is called (spatially inhomogeneous) Allen–Cahn equation. Such problems and their higher dimensional versions appear in various situations related to phase transitions.

Here we assume

(W1) W (x, u)C2([0,1] ×R),

(W2) there exist 2 functionsα(x),α+(x)C2([0,1])such that

α(x) <0< α+(x) for allx∈ [0,1], (0.2) W (x, α(x))=W (x, α+(x))=0 for allx∈ [0,1], (0.3) Wu(x, α(x))=Wu(x, α+(x))=0 for allx∈ [0,1], (0.4) Wuu(x, α(x)) >0, Wuu(x, α+(x)) >0 for allx∈ [0,1], (0.5) W (x, s) >0 for allsR\ {α(x), α+(x)}. (0.6) Two functionsα(x),α+(x)represent two stable states of the potentialW (x, u). It is not difficult to find two stable solutions of (0.1) which are close to α(x)orα+(x) for all x∈ [0,1]. Besides such stable solutions (0.1) gives rise to solutions with finitely many sharp transition layers joining two stable states α(x)and α+(x) for small ε >0. The main purpose of this paper is to study location and multiplicity of such transition layers.

Especially we are interested in clustering layers and boundary layers. Here we mean, by clustering layers, multiple transition layers which are not isolated and appear in a small neighborhood of a particular point in [0,1]. By boundary layers, we mean transition layers which approach to the boundary 0 or 1 of[0,1]asε→0.

We remark that a typical feature of our problem is the property (0.3) and our potential W (x, u) is “balanced”, that is, depth of two wells are equal for all x∈ [0,1]. For the study of layered solutions for the “unbalanced” case, we refer to Angenent, Maret-Paret and Peletier [3] and Ai and Hastings [1]. We also refer to Kath [13] and Gedeon, Kokubu, Mischaikow and Oka [8] for the study of slowly varying planar Hamiltonian systems from the dynamical point of view.2 In particular, in recent paper [8], Gedeon, Kokubu, Mischaikow and Oka showed the existence of complicated dynamics, which is described in terms of symbolic sequence of integers, by means of the Conley index theory.

In previous papers [15,16], the first author studies a special class of balanced potentials; her potential has a form:

W (x, u)=h(x)2F (u)

and she assumes conditions related to (W1)–(W2); in particular, for someα<0< α+, she assumes that F (α)=F (α+)=0, F (u) >0 for uR\ {α, α+}, Fu(0)=0, Fuu(0) <0 and

Fu(u)

u < Fuu(u) for allu=0. (0.7)

We remark that spatially inhomogeneous Allen–Cahn equation satisfies these assump- tions.

2After completing this work, the Authors has learned about works [13,8] from Professor H. Kokubu. The Authors would like to thank to Professor H. Kokubu for this information.

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We observe in [15,16] that transition layers appear only in a neighborhood of critical points ofh(x)and boundary points 0 and 1 of[0,1]:

x(0,1); h(x)=0∪ {0,1}.

Moreover at most one transition layer can appear in a neighborhood of interior local minimum ofh(x).

Under non-degeneracy assumption onh(x):

h(x)=0 ifh(x)=0

we studied in [16] non-degeneracy and the existence of solutions with interior clustering layers, but without boundary layers. Our proof of the existence in [16] is based on the non-degeneracy of solutions and global bifurcation theory.

In this paper, we continue a study of layered solutions and we investigate the existence of solutions with boundary and interior layers in more general setting (0.1). We do not assume non-degeneracy conditions. Here we use a variational argument and we find layered solutions rather in a constructive way.

Now we state our main results. In our setting (0.1), the following function plays an important role.

G(t)=√ 2

α+(t ) α(t )

W (t, τ )dτ:[0,1] →R.

We can determine location of layers of solutions byG(t). For sufficiently smallε >0, we can find a solution uε(x) of (0.1) which has prescribed number of zeros near local minima and maxima ofG(t); as numbers of zeros of solutions, we can prescribe 0 or 1 at interior local minima ofG(t)and any non-negative integers at interior local maxima ofG(t). At boundary points 0, 1 of the spatial region[0,1], we can prescribe any non- negative integer ifG(t)takes local maxima there. To state our existence result precisely, we assume

(W3) G(t)has finitely many critical points in(0,1) in addition to (W1)–(W2). We use notation

M+=p∈ [0,1]; G(t)takes a local maximum in[0,1]atp, M=p(0,1); G(t)takes a local minimum atp,

M=M+M.

We remark that 0 (1 respectively) belongs toM+ifG(0) <0 (G(1) >0 respectively).

Our main result is the following theorem:

THEOREM 0.1. – Assume (W1)–(W3). Then for anyδ >0 and for any sequence of non-negative integers(np)pM satisfying

np∈ {0,1} ifpM,

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there exists an ε0=ε0((np), δ) >0 such that for any 0< εε0, (0.1) has solutions u+ε(x),uε(x)with the following properties:

(i) ±u±ε(0) >0,

(ii) u±ε(x)has exactlynpzeros in[pδ, p+δ]for allpM, (iii) u±ε(x)=0 for allx∈ [0,1] \pM[pδ, p+δ].

Remark 0.2. – (i) If W (x, u)=h(x)2F (u), we have G(t) =Ch(t), where C =

√211F (s)ds is a constant independent of t, andM± are sets of points where h(x) takes local maximum in[0,1]or local minimum in(0,1).

(ii) We can generalize (W3) slightly. See Remark 5.1 below.

Solutions of (0.1) can be characterized as critical points of the following functional:

Iε(u)= 1 0

ε

2|ux|2+1

εWx, u(x)dx

and solutionsu±ε(x)in Theorem 0.1 will be obtained as a critical points satisfying Iε(uε)

pM

npG(p) asε→0. (0.8)

By virtue of (0.3), we can also show that solutions uε(x) of (0.1) with finite energy lim supε0Iε(uε) <∞ must be very close to α(x) or α+(x) in most of the spatial region[0,1]forε small anduε(x)has finitely many zeros. Moreover any zero ofuε(x) belongs to a neighborhood of critical points ofG(t)or boundaries 0, 1. More precisely, we have

THEOREM 0.3. – Assume (W1) and (W2). Then for any A >0, δ >0 there exist ε0=ε0(A, δ) >0,n0=n0(A)N,C(δ) >0 with the following properties: ifε(0, ε0] and solutionsuε(x)of (0.1) satisfy

Iε(uε)A, (0.9)

then

(i) meas{x∈ [0,1]; uε(x) /∈ [α(x)δ, α(x)+δ] ∪ [α+(x)δ, α+(x)+δ]}

C(δ)ε,

(ii) uε(x)has at mostn0zeros in[0,1] and any of zeros belongs toδ-neighborhood of critical points ofG(t)or boundaries{0,1}.

Proofs of Theorems 0.1 and 0.3 will be given in the following sections. To find solutions u±ε(x) stated in Theorem 0.1, we use a method quite different from [1,3,8, 15,16]; we employ variational arguments and we apply a method originally introduced by Hemple [11] and Chen [4]. More precisely, we set

=(t1, t2, . . . , tn); 0< t1< t2<· · ·< tn<1 and define for(t1, . . . , tn)

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fε±(t1, t2, . . . , tn)=infIε(u); uH1(0,1),±(−1)ju(x)0 in[tj, tj+1] forj=0,1,2, . . . , n. (0.10) Here we use conventiont0=0 andtn+1=1.

We will show that critical points of fε±(t1, t2, . . . , tn) are corresponding to critical points ofIε(u)with transition layers att1, t2, . . . , tn under condition (tj+1tj)/ε1 for all j (see Corollary 1.6 below). Conversely, if a solution uε(x) satisfies (0.9) for ε >0 small, then it is also characterized as a critical point of (0.10).

We study the behavior of fε±(t1, . . . , tn) and its derivatives to find critical points of fε±(t1, . . . , tn). We observe that

fε±(t1, . . . , tn)

n

j=1

G(tj)

n

j=0

exp

ρ±,j(tj)tj+1tj

ε

. (0.11)

Here ρ±,j(t) (j =0,1, . . . , n) are positive continuous functions of t. For the precise meaning of (0.11) we refer to Proposition 1.15 and Remark 1.16 below. Estimates of derivatives offε±related to (0.11) are important for the proofs of Theorems 0.1, 0.3 and this is a key of our proof. In particular, the second term of (0.11) seems to be related to the interaction phenomena between two layers or between a layer and a boundary.

Finally we would like to give a mention about works [2,5–7,9,10,12,14,17–21] where a similar question for nonlinear Schrödinger equation

ε2u+V (x)u=up in RN

is studied via variational arguments and our approach in this paper is largely motivated by these works.

1. Minimizing problems in subintervals and variational formulation of (0.1) 1.1. Variational formulation of (0.1)

To give our variational formulation to (0.1), we use the following notation: for 0s < t

E±NN(s, t)=uH1(s, t); ±u(x)0 in[s, t], EDN± (s, t)=uE±NN(s, t); u(s)=0,

E±ND(s, t)=uE±NN(s, t); u(t)=0, EDD± (s, t)=uE±NN(s, t); u(s)=u(t)=0 and

Iε,(s,t )(u)= t s

ε

2|ux|2+1

εW (x, u)dx foruENN± (s, t).

HereDandN stand for Dirichlet and Neumann boundary conditions. We define

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m±DD(ε;s, t)= inf

uE±DD(s,t )

Iε,(s,t )(u), m±ND(ε;s, t)= inf

uE±ND(s,t )

Iε,(s,t )(u), m±DN(ε;s, t)= inf

uE±DN(s,t )

Iε,(s,t )(u).

With this notation, our functionalfε±(t1, t2, . . . , tn)given in (0.10) can be written as fε±(t1, t2, . . . , tn)=m±ND(0, t1)+mDD(t1, t2)+ · · ·

+m±DD()n1(tn1, tn)+m±DN()n(tn,1). (1.1) Here

()n=

− ifnis odd, + ifnis even.

Thus analysis of minimizing problemsm±DD;s, t),m±ND;s, t),m±DN;s, t)is essen- tial in our approach.

To analyze minimizing problems m±DD;s, t) etc., we introduce the following minimizing problem fors∈ [0,1]and$(0,∞]

b±(s, $)= inf

uE±DN(0,$)

$ 0

1

2|vy|2+Ws, v(y)dy. (1.2) After scaling v(y)=u(s +εy), the above minimizing problem appears as a limit problem ofm±DN(ε;s, t)orm±DD(ε;s, t). See Lemma 1.8 below.

When$ <∞, (1.2) is corresponding to positive (or negative) solution of

vyy+Wu

s, v(y)=0 fory(0, $),

v(0)=0, (1.3)

vy($)=0.

We remark that under (W1)–(W2), solutions of (1.4) can be extended to 4$-periodic solutions of −vyy +Wu(s, v(y))=0 in R. When $= ∞, (1.2) is corresponding to a solution of

vyy+Wu(s, v(y))=0 fory(0,),

v(0)=0, (1.4)

v(y)α±(s) asy→ ∞.

We remark that the solution of (1.5) can be extended to a heteroclinic solution joining α(s)andα±(s):

vyy+Wu

s, v(y)=0 fory(−∞,), v(0)=0,

(1.5) v(y)α(s) asy→ −∞,

v(y)α±(s) asy→ ∞.

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Uniqueness of the heteroclinic solution of (1.5) is easily seen and we denote the unique heteroclinic solution byω±(s,∞;y).

Here we give some remarks on solutionsv(y)of

vyy+Wu

s, v(y)=0. (1.6)

It is not difficult to show the following

LEMMA 1.1. – Assume (W1)–(W2). For any fixed s ∈ [0,1] and for any solution v(y)of (1.6), we have the following properties:

(i) Ev12|vy(y)|2W (s, v(y)) is independent of y. Moreover we have Ev<0 for all periodic solutions v(y) of (1.6), in particular, for minimizers of b(s, $) ($ <∞),Ev=0 for heteroclinic solutions joiningα+(s)andα(s), in particular, for minimizer ofb(s,).Ev0 for all bounded solutions of (1.6).

(ii) If a bounded solutionv(y)of (1.6) satisfies

v(yn)α+(s) or α(s)

for some sequenceynsatisfyingyn→ ∞oryn→ −∞, thenv(y)is a heteroclinic solutions joiningα(s)andα+(s).

We will use the above properties repeatedly in the following arguments.

Next we give basic properties of m±DD(ε;s, t), m±ND(ε;s, t), m±DN(ε;s, t), b±(s, $).

Proofs of the following proposition will be given later in Section 6.

PROPOSITION 1.2. – There existε0>0 and$0>0 such that

(i) forε(0, ε0],(ts)/ε$0the minimizing problemsm±DD(ε;s, t),m±ND(ε;s, t), m±DN;s, t)have unique minimizersu(x). The minimizers satisfy

ε2uxx+Wu(x, u)=0 in(s, t),

±u(x) >0 in(s, t)

and

u(s)=u(t)=0 form±DD;s, t), ux(s)=u(t)=0 form±ND;s, t), u(s)=ux(t)=0 form±DN(ε;s, t),

(ii) for$∈ [$0,∞], the minimizing problem (1.2) has a unique minimizerω(y)and it satisfies (1.4) or (1.5).

In what follows, we denote the unique minimizers by

u±DD(ε, s, t;x), u±ND(ε, s, t;x), u±DN(ε, s, t;x), ω±(s, $;y) forε(0, ε0],(ts)/ε$0,$$0.

By the uniqueness of the minimizers, we can see that the minimizers depend on the parametersε,s,t,$continuously inC1-sense. In particular, setting

D=(ε, s, t); ε(0, ε0], 0s < t1, (t−s)/ε$0

,

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we have

LEMMA 1.3. – Functionsu±DD,x(ε, s, t;s),u±DD,x(ε, s, t;t),u±ND,x(ε, s, t;t),u±DN,x(ε, s, t;s):DR are functions of classC1.

We remark here that the minimizeru(x)is uniquely determined by its initial datau(s) and ux(s). Forω±(s, $;y), we can see thatω±(s, $;y)is continuous also at $= ∞. In particular,

LEMMA 1.4. – For anyL >0 andδ >0, there existsη=η(L, δ)$0such that for

ω±(s, $;y)ω±(s,∞;y)C2([0,L])< δ.

The following lemma is essentially due to Hemple [11] and it is easily derived from C1-dependence ofu±DD,u±ND,u±DNons,t.

LEMMA 1.5. – (i)m±DD,m±ND,m±DN:DR are differentiable and

∂sm±DD;s, t)=ε

2u±DD,x(ε, s, t;s)2−1

εW (s,0),

∂tm±DD;s, t)= −ε

2u±DD,x(ε, s, t;t)2+1

εW (t,0),

∂tm±ND(ε;s, t)= −ε

2u±ND,x(ε, s, t;t)2+1

εW (t,0),

∂sm±DN(ε;s, t)=ε

2u±DN,x(ε, s, t;s)2−1

εW (s,0).

(ii)b±(s, $):[0,1] × [$0,)R is differentiable and

∂$b±(s, $)= −1

2ωy(s, $;$)2+Ws, ω(s, $;$)=Ws, ω(s, $;$).

In the setting of Lemma 1.5(ii), we can see−12|ωy(y)|2+W (s, ω(y))is independent ofy. Thus we also have

∂$b±(s, $)= −1

2ωy(s, $;0)2+W (s,0).

Here we omit proofs of Lemmas 1.3–1.5.

As to the corollary to the above lemma, we can give a variational formulation of (0.1).

COROLLARY 1.6. – The functionfε±(t1, t2, . . . , tn)defined in (1.1) is differentiable in (0, ε0] × {(t1, t2, . . . , tn); t1/ε, (t2t1)/ε, . . . , (tntn1)/ε, (1tn)/ε$0}. Moreover (t1, t2, . . . , tn)witht1/ε,(t2t1)/ε, . . . , (tntn1)/ε,(1tn)/ε$0is a critical point offε±(t1, t2, . . . , tn)if and only if

uε(x)=

u±ND(ε,0, t1;x) forx∈ [0, t1],

u±DD()j(ε, tj, tj+1;x) forx∈ [tj, tj+1](j=1,2, . . . , tn), u±DN()n(ε, tn,1;x) forx∈ [tn,1]

is a solution of (0.1).

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Proof. – Recall that

fε±(t1, t2, . . . , tn)=m±ND(ε;0, t1)+mDD(ε;t1, t2)+ · · · +m±DD()n1;tn1, tn)+m±DN()n;tn,1)

andu±ND(ε,0, t1;x),uDD;t1, t2;x), . . .are the corresponding minimizers. It is clear that uε(x)satisfies (0.1) exceptnpointst1, t2, . . . , tnand it solves (0.1) if and only if

∂t1

u±ND(ε,0, t1;t1)=

∂t1

uDD(ε, t1, t2;t1),

∂tj

u±ND()j−1(ε, tj1, tj;tj)=

∂tj

u±DD()j(ε, tj, tj+1;tj) forj=2,3, . . . , n−1,

∂tn

u±ND()n−1(ε, tn1, tn;tn)=

∂tn

u±DD()n(ε, tn,1;tn).

We can easily see that these are equivalent to∇fε±(t1, t2, . . . , tn)=0. ✷ Remark 1.7. – IfW (x, u)has a form:

W (x, u)=h(x)2F (u)

andF (u)satisfies (0.7) in addition to (W1)–(W2), Hemple [11] showed the uniqueness of minimizer m±DD;s, t) without assumption of smallness of ε and largeness of (ts)/ε. His proof of uniqueness works also form±ND;s, t),m±DN;s, t)after minor modification. Thus under the assumption (0.7), all solutions of (0.1) can be characterized as critical points offε±(t1, . . . , tn).

1.2. Properties ofm±DD(ε;s, t),m±ND(ε;s, t),m±ND(ε;s, t)

From now on, we try to find critical points of ∇fε±(t1, t2, . . . , tn). We remark that re-scaled functionv(y)=u±DD(ε, s, t;s+εy), etc. satisfies

vyy+Wu

s+εy, v(y)=0 in

0,ts ε

. We use frequently the following properties of minimizers.

LEMMA 1.8. – For anyL >0 and δ >0 there existsε1=ε1(L, δ) >0 independent ofs,tsuch that forε(0, ε1]and(ts)/ε$0

u±DD(ε, s, t;s+εy)ω±

s,ts 2ε ;y

C2([0,L/2˜ ])

< δ, u±DD(ε, s, t;tεy)ω±

t,ts

2ε ;y

C2([0,L/2˜ ])

< δ, u±ND(ε, s, t;tεy)ω±

t,ts

ε ;y

C2([0,L˜])

< δ,

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u±DN(ε, s, t;s+εy)ω±

s,ts ε ;y

C2([0,L˜])

< δ, whereL˜ =min{L,tεs}>0.

From Lemma 1.4, we have

COROLLARY 1.9. – For any L >0 and δ >0 there exist ε1=ε1(L, δ) >0 and η=η(L, δ)$0such that forε(0, ε1]and(ts)/εη

u±DD(ε, s, t;s+εy)ω±(s,∞;y)C2([0,L])< δ, u±DD(ε, s, t;tεy)ω±(t,∞;y)C2([0,L])< δ, u±ND(ε, s, t;tεy)ω±(t,∞;y)C2([0,L])< δ, u±DN(ε, s, t;s+εy)ω±(s,∞;y)C2([0,L])< δ.

LEMMA 1.10. – For anyδ >0 there existL1=L1(δ) >0 andε1=ε1(δ) >0 such that forε(0, ε1]and(ts)/ε$0

tεL˜1/2 s+εL˜1/2

ε

2u±DD,x(ε, s, t;x)2+1

εW (x, u±DD)dx < δ,

tεL˜1

s

ε

2u±ND,x(ε, s, t;x)2+1

εW (x, u±ND)dx < δ, t

s+εL˜1

ε

2u±DN,x(ε, s, t;x)2+1

εW (x, u±DN)dx < δ, whereL˜1=min{L1, (ts)/ε}>0.

LEMMA 1.11. – There are constantsa1,a2,a3>0 such that fory∈ [0, (t−s)/ε]

u±DD(ε, s, t;s+εy)α±(s+εy)+ d dy

u±DD(ε, s, t;s+εy)α±(s+εy) a1ε2+a2exp(−a3y)+a2exp

a3

ts εy

, u±ND(ε, s, t;s+εy)α±(s+εy)+ d

dy

u±ND(ε, s, t;s+εy)α±(s+εy) a1ε2+a2exp

a3

ts εy

, u±DN(ε, s, t;s+εy)α±(s+εy)+ d dy

u±DN(ε, s, t;s+εy)α±(s+εy) a1ε2+a2exp(−a3y).

Proofs of Lemmas 1.8–1.11 will be given later in Section 6. As a corollary to Lemma 1.11, we have

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COROLLARY 1.12. – There is a constanta4>0 such that for(ts)/ε2a4|logε|

u±DD(ε, s, t;s+εy)α±(s+εy)+ d dy

u±DD(ε, s, t;s+εy)α±(s+εy)2a1ε2 forya4|logε|, (ts)/εa4|logε|,

u±ND(ε, s, t;s+εy)α±(s+εy)+ d dy

u±ND(ε, s, t;s+εy)α±(s+εy)2a1ε2 fory0, (t−s)/εa4|logε|,

u±DN(ε, s, t;s+εy)α±(s+εy)+ d dy

u±DN(ε, s, t;s+εy)α±(s+εy)2a1ε2 forya4|logε|, (ts)/ε.

1.3. Behavior offε±(t1, . . . , tn)

In this section we give an explanation and a proof of (0.11). We do not need estimates given in this section for the proofs of Theorems 0.1 and 0.3 directly. The readers can skip this section and proceed to Section 2.

First we comparem±DD(ε;s, t), m±ND(ε;s, t),m±DN(ε;s, t)and b±(s,tεs),b±(t,tεs).

Here we use results in previous subsections.

LEMMA 1.13. – For anyδ >0 there existsε1>0 such that for anyε(0, ε1] and (ts)/ε$0

m±DD;s, t)b±

s,ts

b±

t,ts

δ, m±ND;s, t)b±

t,ts

ε

δ, m±DN;s, t)b±

s,ts

ε

δ.

Proof. – We only prove the first inequality. By Lemma 1.10, we can findL >0 such that

tεL˜ s+εL˜

ε

2u±DD,x(ε, s, t;x)2+1

εW (x, u±DD)dx < δ

3 for sufficiently smallε >0, (1.7) where

L˜ =min

L,ts

. On the other hand

s+εL˜ s

ε

2u±DD,x(ε, s, t;x)2+1

εW (x, u±DD)dx

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=

L˜

0

1 2

d

dyu±DD(ε, s, t;s+εy)

2

+W (s+εy, u±DD)dy (1.8) and by Corollary 1.9 we have for sufficiently smallε

˜

L 0

1 2

d

dyu±DD(ε, s, t;s+εy)

2

+W (s+εy, u±DD)dy

˜

L 0

1 2

ωy±

s,ts 2ε ;y

2

+W

s, ω±

s,ts 2ε ;y

dy

6. (1.9) We can also see

L˜

0

1 2

ωy±

s,ts 2ε ;y

2

+W

s, ω±

s,ts 2ε ;y

dy−b±

s,ts

< δ

6 (1.10) for largeL1 independent ofs,tsatisfying(ts)/ε$0. It follows from (1.8)–(1.10) that

s+εL˜ s

ε

2u±DD,x(ε, s, t;x)2+1

εW (x, u±DD)dx−b±

s,ts

3. (1.11) Similarly we have

t tεL˜

ε

2u±DD,x(ε, s, t;x)2+1

εW (x, u±DD)dx−b±

t,ts

3. (1.12) Thus by (1.7), (1.11), (1.12) we have

m±DD(ε;s, t)b±

s,ts

b±

t,ts

δ.

Next we give an estimate forb±(s, $).

LEMMA 1.14. – It holds that

b±(s, $)b±(s,)−exp−2Wuu(s, α±(s))$

for large$. More precisely for anyν >0 there exists$(ν)˜ $0such that

−exp2Wuu(s, α±(s))ν$b±(s, $)b±(s,∞)

−exp2Wuu(s, α±(s))+ν$ (1.13) for$$(ν).˜

(13)

Proof. – We deal with ‘+’ case. ‘−’ case can be dealt in a similar way. By (ii) of Lemma 1.5,

∂$b+(s, $)=Ws, ω+(s, $;$).

We remark that y→ −12y(s, $;y)|2+W (s, ω+(s, $;y)) is independent ofy and we have

ωy+(s, $;y)=2W (s, ω+(s, $;y))W (s, ω+(s, $;$)) for ally∈ [0, $]. Thus

$= $

0

dy=

ω(s,$ ;$) 0

√ 1

2(W (s, ζ )−W (s, ω+(s, $;$)))dζ. (1.14) We remark that

ω+(s, $;$)α+(s)−0 as$→ ∞.

To analyze the behavior of ω+(s, $;$)as $→ ∞ precisely, we fix small h0>0 and consider behavior of

α+(s)h α+(s)h0

√ 1

2(W (s, ζ )−W (s, α+(s)h))dζ (1.15) ash→ +0. We remark that we can find constantC0(h0)depending only onh0such that

α+(s) h0 0

√ 1

2(W (s, ζ )−W (s, α+(s)h))C0(h0). (1.16) IntroducingW (τ ) =W (s, α+(s)τ ), we can rewrite (1.15) as

h0

h

1

2(W (τ )W (h)) dτ.

Using Cauchy’s mean value theorem, we can findθ1(h, h0)andθ2(0, θ1)(0, h0) such that

W (τ )W (h)

τ2h2 =Wu1)1

=1

2Wuu2).

Thus, settingC±(ν)=Wuu(s, α+(s))±12ν, for anyν >0 we can choose smallh0>0 such that

1

2C(ν)2τ2h2W (τ )W (h) 1

2C+(ν)2τ2h2 for 0< h < τ < h0.

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Thus we have

1 C+(ν)

h0

h

√ 1

τ2h2

h0

h

1

2(W (τ )W (h))

1

C(ν)

h0

h

√ 1

τ2h2dτ.

Since

h0

h

√ 1

τ2h2dτ =log h0

h +h0

h 2

−1

log 2h0

h −1

,log 2h0

h

, we have

1 C+(ν)log

2h0

h −1

h0

h

1

2(W (τ )W (h))

1

C(ν)log 2h0

h

. (1.17)

Settingh=α+(s)ω+(s, $;$), we have from (1.14), (1.16) that

$C0(h0)

h0

h

1

2(W (τ )W (h))

$.

Thus by (1.17)

expC(ν)$C0(h0)2h0

h expC+(ν)$+1.

That is, for anyν >0 we can find

expC+(2ν)$α+(s)ω+(s, $;$)expC(2ν)$ forl1.

Using

∂$b+(s, $)=Ws, ω+(s, $;$)∼1 2Wuu

s, α+(s)α+(s)ω(s, $;$)2

and

b+(s, $)b+(s,∞)= −

$

∂$b+(s, $)dτ, we can get the desired result (1.13). ✷

Combining Lemmas 1.13 and 1.14, we have

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