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A NNALES DE L ’I. H. P., SECTION C

C HANGFENG G UI J UNCHENG W EI M ATTHIAS W INTER

Multiple boundary peak solutions for some singularly perturbed Neumann problems

Annales de l’I. H. P., section C, tome 17, n

o

1 (2000), p. 47-82

<http://www.numdam.org/item?id=AIHPC_2000__17_1_47_0>

© Gauthier-Villars, 2000, tous droits réservés.

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Multiple boundary peak solutions for

some

singularly perturbed Neumann problems

Changfeng GUIa,1, Juncheng WEIb,2,

Matthias

WINTERc,3

a Department of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada

b Department of Mathematics, The Chinese University of Hong Kong, Shatin, Hong Kong

~ Mathematisches Institut A, Universitat Stuttgart, D-70511 Stuttgart, Germany Manuscript received 1 October 1997, revised 18 July 1998

Ann. Inst. Henri Poincaré, Analyse non linéare 17, 1 (2000) 47-82

© 2000 Editions scientifiques et médicales Elsevier SAS. All rights reserved

ABSTRACT. - We consider the

problem

where S2 is a bounded smooth domain in

/?~, ~

> 0 is a small

parameter

and

f

is a

superlinear,

subcritical

nonlinearity.

It is known

that this

equation

possesses

boundary spike

solutions such that the

spike

concentrates, as £

approaches

zero, at a critical

point

of the mean .

curvature function also known that this

equation

has

multiple boundary spike

solutions at

multiple nondegenerate

critical

points

of

H ( P )

or

multiple

local maximum

points

of

H ( P ) .

In this paper, we prove that for any fixed

positive integer K

there

exist

boundary K-peak

solutions at a local minimum

point

of

H(P).

This

implies

that for any smooth and bounded domain there

always

exist

boundary K-peak

solutions.

1 E-mail: [email protected]. Current address: Department of Mathematics, University

of Connecticut, Storrs, CT 06269, USA.

2 E-mail :

wei @ math.cuhk.edu.hk.

3 E-mail:

[email protected].

(3)

We first use the

Liapunov-Schmidt

method to reduce the

problem

to finite dimensions. Then we use a

maximizing procedure

to obtain

multiple boundary spikes.

© 2000

Editions scientifiques

et médicales

Elsevier SAS

Key words: Multiple boundary spikes, nonlinear elliptic equations RESUME. - Nous considerons le

probleme

ou Q est une domaine bomée avec frontiére lisse en

/?~, ~

> 0 est un

parametre petit,

et

f est

surlinéaire et

souscritique.

Il est bien connu que cette

equation possede

des solutions avec

pointe

sur la frontiére telle que la

pointe

se concentre

(quand ~

tend vers

zero)

a une

pointe critique

de la courbure moyenne

H ( P ) ,

Il est aussi connu que cette

equation possede pleusieurs

solutions avec

pointes qui

se concentrent

sur

pleusieurs points critiques nondégénerés

de

H ( P ),

ou sur

pleusieurs

maxima locaux de

H ( P ) .

Dans ce

papier,

nous prouvons que, pour

chaque

entier

positif K donné,

il existe solutions avec K

pointes la frontiére,

situees sur un minimum relatif de

H ( P ) .

Ceci

implique

que pour

chaque

domaine

qui

est lisse et

bomee il existe

toujours

des solutions avec K

pointes

a la frontiére.

Nous utilisons la methode de

Liapunov-Schmidt

pour reduire le

probleme

dans une espace de dimension finie.

Ensuite,

nous utilisons une

procédé

de maximization pour obtenir les

pointes

sur la frontiére. © 2000

Editions scientifiques

et médicales Elsevier SAS

1. INTRODUCTION

The aim of this paper is to construct a

family

of

multiple boundary

peak

solutions to the

following singularly perturbed elliptic problem

(4)

49

C. GUI ET AL. / Ann. Inst. Henri Poincaré 17 (2000) 47-82

where A

= ~ N 1 ( a 2 / ~ x 2 )

is the

Laplace operator,

SZ is a bounded smooth domain in

7?~, ~

> 0 is a constant, the

exponent p

satisfies 1

p (N + 2)/(N - 2) for N 3

and 1

p ~ for N = 2 and v (x )

denotes the normal derivative at x E

Eq. (1.1)

is known as the

stationary equation

of the

Keller-Segal system

in chemotaxis. It can also be seen as the

limiting stationary equation

of the so-called Gierer-Meinhardt

system

in

biological pattern formation,

see

[35]

for more details.

In the

pioneering

papers of

[18,21]

and

[22], Lin,

Ni and

Takagi

established the existence of

least-energy

solutions and showed that for £

sufficiently

small the

least-energy

solution has

only

one local

maximum

point

and

E

Moreover, H(P~) ~

maxP~~03A9

H(P)

as £ 2014~

0,

where

H (P)

is the mean curvature of P at In

[23],

Ni

and

Takagi

constructed

boundary spike

solutions for

axially symmetric

domains. The second author in

[35]

studied the

general

domain case

and showed that for

single boundary spike solutions,

the

boundary spike

must

approach

a critical

point

of the mean curvature; on the other

hand,

for any

nondegenerate

critical

point

of

H ( P ),

one can construct

boundary spike

solutions whose

spike approaches

that

point.

The first

author in

[11]

constructed

multiple boundary spike layer

solutions at

multiple

local maximum

points

of

H ( P ) .

Later the second and third authors in

[38]

constructed

multiple boundary spike layer

solutions at

multiple nondegenerate

critical

points

of

H ( P ) .

Related results were

obtained

independently by

Y.Y. Li in

[ 17] . When p

=

(N

+

2) / (N - 2),

similar results for the

boundary spike layer

solutions have been obtained in

[ 1-3,12,20,27-29,31 ] ,

etc. We also note that

multiple

interior

peak

solutions in

general

domain are obtained in

[13].

In this paper, we

study

the existence of

multiple boundary peak

solutions at a local minimum

point

of

H ( P ) .

More

precisely,

we consider the

problem

We will assume that

f : R+ ~ R

is of class

C 1+~

and satisfies the

following

conditions

(5)

(f2)

There exist some constants 1 p 1, p2, p3

( (N

+

4) / (N - 4))+(=

oo if

N 4;

=

(N

+

4)/(N - 4)

if N >

4)

such that

f (o) = 0, f ~ (o) = 0 and

(f3)

The

equation

has a

unique

solution

w (y) (by

the results of

[9],

w is

radial, i.e.,

w =

w (r)

and

w’

0 for r

= ~ y ~ ~ 0)

and w is

nondegenerate.

Namely

the

operator

is invertible in the space :_

{u

= E

Two

important examples

of

f

are the

following.

Example

1

(Chemotaxis

and pattern

formation). - feu)

= uP where

1 p

((N + 2)/(N - 2))+(=

oo if N =

2;

=

(N + 2)/(N - 2)

if N >

2).

It is easy to see that

f

satisfies

(fl), (f2)

and

(f3).

This

problem

arises

from the

Keller-Segal

model in chemotaxis and the Gierer-Meinhardt

system

in

pattern

formation

(see [21,22]

and the references

therein).

Example

2

(Population dynamics

and chemical reaction

theory). -

where 0 a

1 /2.

This is a famous model from

population dynamics

and chemical reaction

theory (see [5,15,30]).

If

N

8 then

by

the result

of

[8], f

satisfies

(f 1 )-(f3).

Other nonlinearities

satisfying (fl), (f2)

and

(f3)

can be found in

[6].

Let A ~~03A9 be an open set such that

(6)

C. GUI ET AL. / Ann. Inst. Henri Poincaré 17 (2000) 47-82 51 We now state the main result in this paper.

THEOREM 1. I . - Assume that condition

( 1.5)

holds.

Let f satis, fy

as-

sumptions (fl )-(f3).

Then

for

e

suficiently

small

problem ( 1.2)

has a so-

lution u~ which possesses

exactly

K local maximum

points Q 1,

...,

QK

with

( Q 1,

...,

Q x )

E F x ~ . ~ x h. Moreover

i, k,

l =

1, ... , K, k ; l,

as e --~ 0.

Furthermore,

we have

for

certain

positive

constants a, b.

Theorem 1.1 can be derived from a more

general

theorem as follows.

THEOREM 1.2. - Let

r ,

i =

1,

...,

K,

be open sets in ~03A9 such that

Let

f satisfy assumptions (f 1 )-(f3). Then for

e

sufficiently

small

problem ( 1.2)

has a solution which possesses

exactly

K local maximum

points

Q 1,

...,

Q x

with

( Q 1,

...,

Q x )

E

hl

x ... x

rK .

Moreover

i , k,

l =

1,..., K, k ~ l,

as E ~ 0.

Furthermore,

we have

for

certain

positive

constants a, b.

More details about the

asymptotic

behavior of uE can be found in the

proof

of Theorem 1.2.

We have the

following interesting corollary.

COROLLARY 1.3. - For any smooth and bounded domain and any

fixed positive integer

K E

Z,

there

always

exists a

boundary K-peaked

solution

of ( 1.2) if

e is small

enough.

(7)

Theorem 1.1 is the first result in

proving

the existence of

multiple boundary spike

solutions for

problem (1.2)

in any smooth bounded domain. Note that the

boundary spikes

can

approach

the same

point

on

the

boundary

when A has a

strictly

local minimum

point

of

H (P) .

This

is new and

interesting

in its own

right.

We shall

only

prove Theorem 1.2. To introduce the main idea of the

proof

of Theorem

1.2,

we need to

give

some necessary notations and definitions first.

Let w be the

unique

solution of

(1.3).

It is known

(see [9])

that w is

radially symmetric, decreasing

and

Associated with

problem (1.2)

is the

following

energy functional

where

F(u) _ , J; (s)

ds and u E

For any smooth bounded domain U we set

Puw

to be the

unique

solution of

Let ~

> 0 be a small number.

Let 0393i

be as in Theorem 1.2. Set

For we set

(8)

C. GUI ET AL. / Ann. Inst. Henri Poincaré 17 (2000) 47-82 53

where are the

(N - 1) tangential

derivatives at

Pi (without

loss of

generality

we assume that the inward normal derivative at

Pi

is eN and denote as in the rest of the

paper.)

We first solve for in up to

by using

the

Liapunov-

Schmidt reduction method. This method evolves from that of

[7,25]

and

[26]

on the semi-classical

(i.e.,

for small

parameter h)

solution of the nonlinear

Schrodinger equation

in

R N

where V is a

potential

function and E is a real constant. The method of

Liapunov-Schmidt

reduction was used in

[7,25]

and

[26]

to

construct solutions of

(1.9)

close to

nondegenerate

critical

points

of V

for h

sufficiently

small.

Then we show that

~£,p

is

C~ in

P. After

that,

we define a new function

We maximize

Mg(P)

over A. Condition

(1.5)

ensures that

Ms(P)

attains its maximum inside A. We show that the

resulting

solution has

the

properties

of Theorem 1.2.

The paper is

organized

as follows.

Notation, preliminaries

and some

useful estimates are

explained

in Section 2. Section 3 contains the

setup

of our

problem

and we solve

(1.2)

up to

approximate

kernel and

cokernel, respectively.

We set up and solve a

maximizing problem

in Section 4.

Finally,

in Section

5,

we show that the solution to the

maximizing problem

is indeed a solution of

(1.2)

and satisfies all the

properties

of

Theorem 1.2.

Throughout

this paper, unless otherwise

stated,

the letter C will

always

denote various

generic

constants which are

independent

of a, for 8

sufficiently

small. 8 > 0 is a very small number.

o ( 1 ) means ~o(l)~ ( -~

0

as ~ 2014~ 0.

(9)

2. TECHNICAL ANALYSIS

In this section we introduce a

projection

and derive some useful estimates.

Throughout

the paper we shall use the letter C to denote a

generic positive

constant which may vary from term to term. We denote

R+ _ ~ (x’, XN)

xN >

0} .

Let w be the

unique

solution of

(1.3).

Set

Let P E a S2 . We can define a

diffeomorphism straightening

the

boundary

in a

neighborhood

of P. After rotation of the coordinate

system

we may assume that the inward normal to a S2 at P is

pointing

in the

direction of the

positive xN-axis.

Denote x’ _

(xl , ... , XN-l),

and

Then,

since ~03A9 is

smooth,

we can find a constant

Ro

> 0 such that 8 Q n

SZo

can be

represented by

the

graph

of a smooth function pp :

B’ (Ro)

~

R where

pp(0)

=

0, Vpp(O)

= 0.

From now on we omit the use of P in pp and write p instead if this

can be done without

causing

confusion. The mean curvatures of a S2 at P is

where

and

higher

derivatives are defined in the same way.

By Taylor expansion

we have .

(10)

C. GUI ET AL. / Ann. Inst. Henri Poincaré 17 (2000) 47-82 55

Recall that for a smooth bounded domain U the

projection Pu

of

H2(U)

onto

{v

E

H2(U)

= 0 at

aU}

is defined as follows: For

v E let co =

Puv

be the

unique

solution of the

boundary

value

problem

Let

where

Then satisfies

We denote

For x E

S2o

set now

Furthermore,

for x E

Qo

we introduce the transformation T

by

(11)

Note that then

Let ~i

be

the

unique

solution of

where w’ is the radial derivative of w,

i.e.,

w’ = w,.

(Y),

and r =

( (x -

Note that v1

is

an even functions in

y’

=

(yi,..., yN-1 ) . Moreover,

it

is easy to see

that ~

for some 0 ~c 1.

Let

X(x)

be a smooth cut-off function such that

X(x)

=

1, x

E

B (0, 0.8Ro)

and

X (x )

= 0 for x E

B(0, Ro)c.

In fact we set

Ro

be such that =

0 . 9 r~ ~ .

Note that this x is as

good

as the cut-off function in

[35].

Set

Then we have

PROPOSITION 2.1. -

Proof - Proposition

2.1 was

proved

in

[37] by Taylor expansion

and

a

rigorous

estimate for the remainder

using

estimates for

elliptic partial

differential

equations.

D

Similarly,

we know from

[37]

that

PROPOSITION 2.2. -

where Ey =

T (x)

and w~

satisfies

(12)

57 C. GUI ET AL. / Ann. Inst. Henri Poincaré 17 (2000) 47-82

and

~~ w2 ~~~

C.

Note

that

for some IL 1 and wi 1 is an odd function in

y’ . Finally,

let

L o

= A - 1 +

f ’ ( w ) .

We have

LEMMA 2.3. -

where =

{u

E = 0

Proof. -

See Lemma 4.2 in

[22].

D

Next we state some useful lemmas about the interactions of two w’s.

LEMMA 2.4. - Let P =

(Pi,..., PK )

E

A.

Then we have

where yk~ E ~ and ~’ is

defined

as

follows

Furthermore,

= we have yk~ E

~~

where

Proof. -

Note

that as

-~ oo we have

(13)

Hence if we

straighten

the

boundary

at

Pk

we have

for some

Note that if = we have

Pk

-~

P~

and

bN

= 0 where

bN

is the Nth

component

of b. D

Note. - yki =

Next we are

going

to show three technical lemmas.

The first lemma is about some relations of several

integrals

associated

with w in

RN-l.

Let

We have LEMMA 2.5. -

(14)

59

C. GUI ET AL. / Ann. Inst. Henri Poincare 17 (2000) 47-82

Proof -

Let y =

(y’, Y N ).

The

operators

0 and ~ below are with

respect

to y E

RN,

and the

integrations

are with

respect to y’ - (y’, 0)

E

We will also use r for

By straightforward computations

we have

and

and

Since w satisfies

by multiplying (2.17) by y’ ~ 2 (~ w ~ y)

and

integrating

it with

respect

to

y’

in we obtain

(2.12).

(15)

Multiply (2.17) by

and

integrate

it in Then

(2.13 )

is derived.

This proves Lemma 2.5. D

LEMMA 2.6. - For any

function G(t)

in

([0, oo))

with

G(o) _

G’

(0)

=

0,

we have

Proof -

Since w

decays exponentially

in y at

infinity,

we have

(16)

61

C. GUI ET AL. / Ann. Inst. Henri Poincare 17 (2000) 47-82

where

Hence Lemma 2.6 is proven. D LEMMA 2.7. -

Proof - Using (2.5), (2.17)

and the

exponential decay

of wand VI, we have

(17)

In view of

Proposition 2.1,

Lemma 2.7 follows

immediately.

D

The next lemma is the

key

result in this section.

LEMMA 2.8. - For any P =

(Pi,

...,

PK )

e A and ~

suficiently

small

where yl is

defined

in

(2.1 I )

yki = 03B3lk ~ 03A3 and 03A3 is

defined by (2.8)

and

yl is

defined

in

(2.1 1 ).

Furthermore,

= we have yk~ E

~i

where

~~

is

defined by (2.9).

Proof -

We shall prove the case when K = 2. The other cases are

similar.

Since P =

PZ)

E

A ,

we have that

w(~ Pz~/~)

r~e.

First we look at the case K = 1. Note that

by Proposition 2.1,

Lemmas 2.6 and 2.7 we have

(18)

C. GUI ET AL. / Ann. Inst. Henri Poincare 17 (2000) 47-82 63

Similarly

we have

Then

For the case K =

2,

we can write

where

Ii ,

i =

1, 2, 3,

are defined at the last

equality

and

For

/3,

we have

(19)

For

Il, using P2~/e) =O(£)

we have

Similarly,

Hence

(20)

65

C. GUI ET AL. / Ann. Inst. Henri Poincare 17 (2000) 47-82

Here we have used Lemma 2.4

and

similarly

3. LIAPUNOV-SCHMIDT REDUCTION

In this

section,

we reduce

problem (1.2)

to finite dimensions

by

the

Liapunov-Schmidt

method. We first introduce some notations.

Let be the Hilbert space defined

by

(21)

Define

for u E

HN (S2£ ) .

Then

solving Eq. (1.2)

is

equivalent

to

Fix P =

( Pl , ... , Px )

E A. To

study (1.2)

we first consider the linearized

operator

It is easy to see

(integration by parts)

that the cokernel of

is

coincides

with its kernel. Choose

approximate

cokernel and kernel as

Let denote the

projection

from

L 2 ( SZ£ )

onto

Cflp.

Our

goal

in this

section is to show that the

equation

has a

unique

solution E

k|~,P

if E is small

enough

and P =

(Pl,

...,

PK)

E A .

As a

preparation

in the

following

two

propositions

we show the

invertibility

of the

corresponding

linearized

operator.

PROPOSITION 3.1. - Let = o

LE.

There exist

positive

con-

stants ~,03BB, such

that for

all ~ E

(0, ~)

and P =

( Pl ,

...,

PK )

E A

for

all 03A6 E

PROPOSITION 3.2. - For any ~ E

(0, E)

and P =

( Pl ,

...,

PK )

E A the

map

(22)

67

C. GUI ET AL. / Ann. Inst. Henri Poincare 17 (2000) 47-82

is

surjective.

Proof of Proposition

3. l. - We will follow the method used in

[7,25, 26],

and

[37]. Suppose

that

(3.1 )

is false. Then there exist sequences

{Ek}, {Pk} _ {(Pl,k_, ... ,

and

{~k} (i

=

1, 2, ... , K, k

=

1, 2,...)

with Ek >

0, Pk

e

7l, ~k

such that

For j

=

1, 2, ... ,

N - 1 denote

where

Note that

by Proposition 2.2,

the

symmetry

of the function wand the fact that

P E

A (recall

that Here is the Kronecker

symbol. Furthermore,

because of

(3.4),

as k - oo. Let and T be as defined in Section 2.

(Note

that we

allow

Ro -

0 but -~

oo.)

Then T has an inverse such that

Recall that ~y =

T (x ) .

We use the notation if P is

replaced by Pi.

We introduce new sequences

by

(23)

for y E Since and

( T ~i ~ ) -1

have bounded derivatives it follows from

(3.5)

and the smoothness of X that

for all k

sufficiently large.

Since also

uniformly

in k for all k

large enough

there exists a

subsequence, again

denoted

by

which converges

weakly

in to a limit as

k - oo. We are now

going

to show that - 0. As a first

step

we deduce

This statement is shown as follows

(note

that det D T = det =

1 )

(24)

69

C. GUI ET AL. / Ann. Inst. Henri Poincare 17 (2000) 47-82

where

S2o

is as defined in Section 2. In the last

expression

the first two

terms tend to zero as k -~ oo since is bounded in

L 2 (S2 )

and

the term in the square bracket converges to 0

strongly

in

L 2 (SZ ) .

The last

two terms tend to zero as k -~ oo because of the

exponential decay

of

at

infinity.

We conclude

This

implies (3.8).

Let

ICo

and

Co

be the kernel and

cokernel, respectively,

of the linear

operator

which is the Frechet derivative at w of

where

Note that

Eq. (3.8) implies

that E

By

the

exponential decay

of wand

by (3.4)

we have after

possibly taking

a further

subsequence

that

i.e., lCo .

Therefore = 0.

Hence

(25)

By

the definition of wi,k we

get

0 in

H2

and

Furthermore,

and therefore

Since

we have that

In summary:

From

(3.11)

and the

following elliptic regularity

estimate

(for

a

proof

see

Appendix

B in

[37])

for

~k

E we deduce that

This contradicts the

assumption

and the

proof

of

Proposition

3.1 is

completed.

D

Proof of Proposition

3.2. - We define a linear

operator

T from

to itself

by

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71

C. GUI ET AL. / Ann. Inst. Henri Poincare 17 (2000) 47-82

Its domain of definition is

By

the

theory

of

elliptic equations

and

by integration by parts

it is easy to see that T is a

(unbounded)

self-

adjoint operator

on and a closed

operator.

The

L 2

estimates of

elliptic equations imply

that the range of T is closed in Then

by

the Closed

Range

Theorem

([39],

p.

205),

we know that the range of T is the

orthogonal complement

of its kemal which

is, by Proposition 3.1,

This leads to

Proposition

3.2. D

We are now in a

position

to solve the

equation

Since is invertible

(call

the inverse

L£,P)

we can rewrite

where

and the

operator Gs,p

is defined

by

the last

equation

for 03A6 E

H2N (03A9~).

We are

going

to show that the

operator

is a contraction on

if 8 is small

enough.

In fact we have the

following

lemma

LEMMA 3.3. - For a

sufficiently small,

we have

Proof. - (3.16)

follows from the mean value theorem.

To prove

(3.17),

we divide the domain into

( I~

-f-

1 ) parts:

let SZ =

U K 1’ S2i

where

(27)

Note that

We now estimate

Pwi)

in each domain.

In

S2K+l,

we have

Hence, using

also the fact that

w (y) decays exponentially in I y we

obtain

In

S2i ,

i =

1,

... ,

K ,

we have

Using Proposition

2.1 and the facts that

P w , w and

vi 1

decay exponen- tially,

we obtain

Thus

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73

C. GUI ET AL. / Ann. Inst. Henri Poincare 17 (2000) 47-82

where À > 0 is

independent

of 8 > 0 and

c(8)

- 0 as 8 - 0.

Similarly

we show

where

c (~ )

- 0 as 3 - 0. Therefore

Ms,p

is a contraction on

B8.

The existence of a fixed

point

now follows from the Contraction

Mapping Principle

and is a solution of

(3.14).

Because of

we have

We have

proved

LEMMA 3.4. - There exists E > 0 such that

for

every

(N

+

I)-tuple

E,

Pl ,

...,

PK

with 0 E ~ and P =

( Pl ,

...,

PK )

E A there is a

unique

E

K|~,P satisfying P03C9i

+ E

Cs,p

and

The next lemma is our main estimate.

LEMMA 3.5. - Let be

defined by

Lemma 3.4. Then we have

(29)

where yl and yk~ are

defined

in Lemma 2.5.

Proof -

In fact for any P E

A ,

we have

where

by

Lemmas 3.3 and 3.4.

Estimate

(3.19)

now follows from Lemmas 2.6 and 3.4. D

Finally,

we show that is

actually

smooth in P.

LEMMA 3.6. - Let be

defined by

Lemma 3.4. Then E

C

1

in P.

Proof -

Recall that is a solution of the

equation

such that

By differentiating Eq. (3.19)

twice we

easily

conclude that the functions

P wi

and are

C

1 in P. This

implies

that the

projection

03C0~,P is

C1 in

P.

Applying ~/~03C4Pi,j gives

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75

C. GUI ET AL. / Ann. Inst. Henri Poincare 17 (2000) 47-82

where

We

decompose

into two

parts:

where

(a~£,P/~tPl,~ )1

E and

(a~~,P/a~Pl,~ )2

E

We can

easily

show that

(~03A6~,P/~03C4Pi,j) 1 is

continuous in P since

and

We can write

Eq. (3.23)

as

(31)

As in the

proof

of

Propositions

3.1 and

3.2,

we can show that the

operator

is invertible from to Then we can take inverse of o + in the above

equation

and the inverse is continu-

ous in P.

Since 1 E

K~,P

are continuous in P and so

is we conclude that

)2

is also continuous in P. This is the same as the

C~

1

dependence

of in P. The

proof

is

finished. D

4. THE REDUCED PROBLEM: A MAXIMIZING PROCEDURE In this

section,

we

study

a

maximizing problem.

Fix P E 11. Let be the solution

given by

Lemma 3.4. We define a new functional

We shall prove

PROPOSITION 4.1. - For £

small, the following maximizing problem

has a solution P£ E A.

Proof -

Since +

~£,P)

is continuous in

P,

the max-

imizing problem

has a solution. Let be the maximum where

We claim that P~

In fact for any P E

11, by

Lemma

3.5,

we have

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77

C. GUI ET AL. / Ann. Inst. Henri Poincare 17 (2000) 47-82

Since is the

maximum,

we have

for any P =

(Pi,..., PK )

E ~l .

Choose

Pi

such that

H ( Pi )

-

minP~0393i H ( P )

and

Pl|/~)/~ ~

0. This

implies

that

for

any 03B4

> 0.

Note that 9~ G

{P,

e

9f;

or

P/!/~)

=

~}.

Hence ifPe

97l,

we have that either

for some i =

1, ... , K

and r~o > 0

(by

condition

(1.5)),

or

for some

k ~ l.

Hence if P E a ~l we have

Note that

(33)

since for any we have

A contradiction to

(4.3)

if we choose 3 small

enough.

It follows that P~ E ll.

This

completes

the

proof

of

Proposition

4.1. D

5. PROOF OF THEOREM 1.2

In this section

section,

we

apply

results in Sections 3 and 4 to prove Theorems

1.1,

1.2 and

Corollary

1.3.

Proofs of

Theorems

l. l,

1.2 and

Corollary

1.3. -

By

Lemmas 3.4

and

3.6,

there exists so such that for ~ so we have a

C

1 map

which,

to any P E

A ,

associates E such that

for some constants c~/ e

By Proposition 4.1,

we have P~ e

A, achieving

the maximum of the maximization

problem

in

Proposition

4.1. Let

~

= and Mg =

+ Then we have

Hence we have

Thus

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79

C. GUI ET AL. / Ann. Inst. Henri Poincare 17 (2000) 47-82

Therefore we have

Since E we have that

Note that

where

Thus

Eq. (5.2)

becomes a

system

of

homogeneous equations

for

03B1kl and the matrix of the

system

is

nonsingular

since it is

diagonally

dominant. So akl -

0, k

=

1,..., K,

I =

1,...

N - 1.

Hence u~ = 03A3ki=1 P03A9~,P~

w + is a solution of

(1.2).

By

our

construction,

it is easy to see that

by

the maximum

principle

u ~ > 0 in Moreover -~

( K / 2) I ( w ) and Us

has

only

K local

maximum

points Q 1, ... , Q K

and

By

the structure of u ~ we see that

(up

to a

permutation) Qf - Pis

=

o( 1 ) .

This proves Theorem 1.2.

Theorem 1.1 follows from Theorem 1.2

by taking I i

= =

1 ..., K.

Finally,

we prove

Corollary

1.3. 0

If SZ is not a

ball,

then

H ( P )

has a local minimum on some open set

7~,

Theorem 1.1 can be

applied.

(35)

If Q is a

ball, Corollary

1.3 follows

by minimizing

energy in

symmetric

spaces. See

[21]

and

[23].

ACKNOWLEDGEMENT

The research of the first author is

supported by

a NSERC

grant

of Canada. The research of the second author is

supported by

an Earmarked

Grant from RGC of

Hong Kong.

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