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(1)

A NNALI DELLA

S CUOLA N ORMALE S UPERIORE DI P ISA Classe di Scienze

W. H ANSEN

N. N ADIRASHVILI

On Veech’s conjecture for harmonic functions

Annali della Scuola Normale Superiore di Pisa, Classe di Scienze 4

e

série, tome 22, n

o

1 (1995), p. 137-153

<http://www.numdam.org/item?id=ASNSP_1995_4_22_1_137_0>

© Scuola Normale Superiore, Pisa, 1995, tous droits réservés.

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(2)

Harmonic Functions

W. HANSEN - N. NADIRASHVILI

Dedicated to

Professor

Fumi-Yuki Maeda

on the occasion

of

his sixtieth

birthday

0. - Introduction

Let A denote the

Lebesgue

measure on

V,

d &#x3E; 1. For every x c

V

and

r &#x3E; 0 let

B(x, r) = { y

E

xl r}

and

A(B(x,

A

function r &#x3E; 0 on a domain U in

V

is called admissible

provided B(x, r(x))

C U for every x E U. Given an admissible function r on U, let us say that a

Lebesgue

measurable real function

f

on U is r-median if

for every x E U. In

[HNI , HN2, HN5]

we

proved

the

following

converse to the

mean value theorem for harmonic functions

(for

the case U = see

[HN4]):

THEOREM 0.1. Let r be an admissible

function

on a proper subdomain U

of

Let

f

be an r-median

function

on U which is bounded

by

some harmonic

function

on U and suppose that

f

is continuous or that r is

locally

bounded

away

from

zero. Then

f

is harmonic.

Simple counterexamples

reveal that the boundedness condition for

f

cannot be

completely dropped.

However, under additional

assumptions

on r

boundedness from one side is sufficient. Work of J.R. Baxter

[Ba2],

A. Cornea and J.

Vesely [CV],

W.A. Veech

[Ve3],

led to the

following (for

a detailed

account of the

history

see

[NV]):

THEOREM 0.2. Let U be a Green domain in

Rd,

let p, r : U ---+

]0, oo[

and

a &#x3E; 0 be such

that, for

all x, y E U:

Then any r-median

function f &#x3E;

0 on U is harmonic.

Pervenuto alla Redazione il 18 Marzo 1994.

(3)

About

twenty

years ago W.A. Veech

([Ve3])

formulated the:

CONJECTURE 0.3. Let U be a bounded domain in

Rd

and let r be an

admissible

function

on U which is

locally

bounded away

from

zero, i. e., such that inf

r(K)

&#x3E;

0 for

any compact subset K

of

U. Then every r-median

function f

&#x3E; 0 on U is harmonic.

Previous work

by

F. Huckemann

[Hu]

shows that this is true if d = 1.

In this paper we shall see,

however,

that the

conjecture

fails

already

for

open balls in any d &#x3E; 2. In

fact,

even a weakened version of the

conjecture

where r and

f

are assumed to be continuous

(or C °° )

is wrong. As in

[HN3]

our

counterexample

will be based on

properties

of the random walk

given by

the transition kernel P :

(x, A) -

1. - A measurable

counterexample

Let U denote the open unit ball in d &#x3E; 2, N =

{ 1, 2, 3, ...}, No

= N

U{o}.

Let SZ = = wa and let M be the

u-algebra

on SZ

generated by X,;,

i E

No.

As usual

Oj, j

E

No,

will be the canonical shift

OJ :

0 ~ Q defined

by (0jw);

= Wi+j,

i.e., Xi

Given a Markov kernel P on U and x E

U,

let Px denote the

probability

measure on

(12, M)

such that

(Q, M, Px)

is the

random walk

starting

at x

having

transition kernel

P, i.e.,

for all n E

No

and Borel subsets

Ao, Ai , ... , An

of U

For every Borel subset A of U let

(where inf 0

=

oo).

A Borel function v &#x3E; 0 on U is called

P-supermedian

if Pv v. We recall that the function z -

Pz [TA oo]

is the smallest

P-supermedian

function v on U such that v &#x3E; 1 on A

([DM], [Re]). Moreover,

we shall use the

(strong)

Markov

property

for random walks

(cf. [DM], [Re])

and we shall

exploit

the

following simple

fact which is

intuitively

clear and

can

easily

be derived

formally

from

(*):

If P and

Q

are two Markov kernels

on U such that

P(x,.)

=

Q(x, ~)

for every x in the

complement

of a Borel set

B then

(4)

for all x E U, n E

No,

and Borel sets

Ao, ... , An

in U. In

particular,

= n] = =

n]

for every n &#x3E; 0.

Now let us choose

points

xn =

(~n, 0, ... , 0)

E

Rd

and radii 0 pn 1,

n E

No,

such that

~o

= 0,

Çn lim Çn

= 1,

n-oo

More

precisely,

fix 0 a

1/4,

define

and,

for every n E No,

Then,

for every n E

No,

Choosing

real numbers cn &#x3E; 0 such that Cn and

defining

we hence obtain

that,

for every x E

Co,

and,

for every x E

Cn, n

&#x3E; 1,

(5)

Moreover,

for every n E

No

and every x E

Cn,

since &#x3E;

2a( 1 - ~~ - cn) - 2an - 2acn

&#x3E; an-l - Pn

cx

Pn

-2aCn

&#x3E; Pn-

~+~

Take 0

bo co/2,

ao =

bo/2,

and define

In order to understand the idea of our

counterexample

let us assume for a

moment that we have chosen real numbers 0 an cn, n G N. Then we take

An

and we may define a measurable function

f &#x3E;

0 on U

by

Obviously, f

is not

harmonic,

but it is r-median if we define

Of course, r is not

locally

bounded away from zero. We may,

however, modify

this construction and obtain an r-median function for which r is

locally

bounded

away from zero. To that end we shall arrange that the random walk

given by

the kernel

has almost no chance to

get

to

An+i except

to go to

An

first and then to hit

An+1

at the next

step.

Let us see how this can be achieved. We choose a continuous function

on such that p = po on

Ao

and

for every x E U

EN}),

take

(6)

and consider the Markov kernel

Q given by

Using

the associated random walk we define a

function g

on U

by

Obviously,

Since p

is continuous and

Qg

= g on

UBAo,

we know

that g

is continuous on

UB(Ao

U

C’)

and that

{ y

E

UB(Ao

U

C’) : g(y)

=

01

is an open set in

UB(Ao

U

C’).

Therefore g

&#x3E; 0 on

UBC’ and,

for every n E N,

Now let n E

No

and suppose that real numbers aj

G ]0, cj /4 [, j

=

0,...,

n, have

already

been chosen. Define

(in particular,

10 =

1).

Then there exists

e ]0,c~+i/2[

such that

Bn+i

:=

B(x.+,,

satisfies

Take

By

Harnack’s

inequality

there exists c E such that for every harmonic function h&#x3E;0 on U

and we

clearly

may assume that

b2

and hence a2 are chosen so small that

Having

obtained the sequences of balls

(An)

and

(Bn)

we define r : U --;

]o,1 [

by

(7)

Then

r(x) 2a( 1- ( x ~ )

for every x E U and inf

r(K)

&#x3E; 0 for every compact K in U.

Let P denote the

corresponding

Markov

kernel, i.e.,

Using

the associated random walk we define measurable

functions fn

on

U,

n

~ No, by

Obviously,

0

fn

1,,. The sequence

( fn)

is

increasing

since

for every x E U. Let

Since

obviously fn(x)

for every n E

No

and every x E we conclude that

P f

=

f.

We intend to show

that,

for every n 6 N,

Since n e N

we then obtain

that,

for every

In

particular, f

turns out to be

locally

bounded on U and

so

f

is not harmonic. Thus

(*)

will

yield that f

is a

counterexample

to Veech’s

conjecture.

In order to prove

(*)

let us first establish a

general

lemma

(for

the purpose of this section it will be sufficient to take E =

0, i.e., TE

=

oo):

LEMMA. 1.1. Let P be a Markov kernel on U, let

A, B, C, Ao, Co,

E

be Borel subsets

of

U such that A c B c C c

UBCo, Ao

C

Co

and let

(8)

0 6 e

1/6

such that

P(y, A)

=

0 for

every y E

UB(AoUBUE), P(y, Co)

e

for

every y E

Ao, oo]

E

for

every y E

UBCo, P(y, C) - for

every y E

B,

and

TE] 00] for

every y E

UBC. Then for every

x E UC

ool for

every y E

UBC.

Then

for

every

PROOF. Fix x E

UBC

and let

For every y E

Ao,

hence

We define an

increasing

sequence

(Sm)

of

stopping

times

by

Clearly,

for every w E

Q,

For every

m E N,

Moreover,

hence

by

induction

(9)

Therefore

where

Define

similarly

a sequence

(Tm ) by

We know that

P(y, C)

~ for every y E B and

TE] 8pX[TAo 00]

s ~ for every y E

UBC. Arguing

in a similar way as for the sequence

(Sm)

we hence obtain that ,

To finish the

proof

it suffices to note

that,

for every k E

No,

since

P(y, A)

= 0 for every y E

UB(Ao

U B U

E),

and hence

PROPOSITION 1.2. For every n E N,

PROOF. We know

by

construction of P that

(10)

In order to

get

the necessary estimates for

oo]

and

00]

we note that every

superharmonic

function s &#x3E; 0 on U is

P-supermedian

and

hence for every Borel subset D of U

P’ [TD

oo] =

inf { s :

s

P-supermedian, s &#x3E;

1 on

D} Rf.

In

particular,

and

On the other

hand,

the random walk associated with

Q

is obtained from the random walk associated with P

by stopping

on C’. Hence

clearly

Moreover,

for every y E

U,

Thus,

for every

In

addition,

for every y E

An,

Let

and fix x E

UBC,,,l -

Since

P(y, Cn+1 )

= 0 for every y E

UB(An

U

Cn+1 )

we know

that

(11)

(Indeed,

Obviously, Tz

=

R+TAn

and =

R+Tcn+1

hence the

strong

Markov

property implies

that

and

Since

for every y

E An

U we conclude that

Furthermore, P(y, .

y E

for every y E

An, whereas,

for every

Therefore

by

our Lemma

Thus we have proven the

following

result which shows that Veech’s

conjecture

is wrong:

THEOREM 1.3. For every 0 a 1 there exist Borel

functions

r,

f

&#x3E; 0

on U such that r a

dist(., aU),

inf

r(K)

&#x3E;

0 for

every compact subset K

of U,

f

is

locally

bounded and r-median, but not harmonic on U.

(12)

2. - A continuous

counterexample

Having

constructed a measurable

counterexample

to Veech’s

conjecture

the

question

arises if

perhaps

a weakened version is true where r and

f

are

supposed

to be continuous. In this section we shall see that this is not the case:

THEOREM 2.1. Given 0 a 1, there exist continuous

strictly positive functions

r and

f

on U such that r a

dist(., aU), f

is

r-median,

but not

harmonic.

In order to

get

this result it suffices to

modify

the measurable

counterexample removing

the discontinuities at

aAn U aBn,

n E N. To that end we shall use a

general property

of random walks

given by

means

having

a

locally

bounded

density

with

respect

to the

Lebesgue

measure

(cf.

a similar

argument

in

[HN3]):

LEMMA 2.2. Let P be the transition kernel

of

a random walk

given by

an

admissible

function

r on U which is

locally

bounded away

from

zero, let K be

a compact subset

of

U,

fix

x E U and c &#x3E; 0. Then there exists 6 &#x3E; 0 such that

Pz [0 TA 00]

c

for

every Borel subset A

of

K

satisfying Àu(A)

6.

PROOF. Define

q(y)

= 1 -

Iyl,

y E

U,

and let i := inf

q(K)

=

dist(K, aU).

Since q is a continuous

potential

on

U,

we know

by

Lemma 1 in

[HN5]

that

lim

Pmq

= 0. So there exists m E N such that

m--~oo

Then

Moreover,

for every

Therefore

Let

(13)

If y E U such that

B(y, r(y))

then

q(y)

&#x3E;

~y/2

and hence

P(y,.)

=

ÀB(y,r(y»

C

1/ -d Àu.

This

implies that,

for every i e N,

Take

and let A be a Borel subset of K such that 6. Then

Let us now return to the situation considered in the

previous

section.

Defining

we know that for every n e N,

00

Let V =

UB U (Bj BAj ),

fix n E N, and suppose that we have

already

defined a

j=1 n-i 1

continuous function r on V U

U (BjBAj)

such that r = r on V and 0 j=1

on

B j BA j , j

=

0,1, ... ,

n - 1. Let

Pn

denote the transition kernel on U

given

n-1 00

by r

on V U

U (BjBAj)

and

by

r on

U (BjBAj), i.e.,

j=1 j=n

By

Lemma 2.2 we know

that,

for each x E U

(CnBCn),

there exist

bn,

bn I

such that the set

(14)

satisfies

By

the

strong

Markov

property

Since r is

continuous on

Bn-i

U we conclude that en is continuous on

Bn-i

U So a

simple compactness

argument shows that we may choose

bn, bn

such that en ên on U

(l7n)C’ ) .

In

fact,

since n- n n

TBn TEn P;-a.s.

for every x E

UBCn.

?t

We now extend r to a continuous function on V U

U (B j BA j )

such that

j=1

By

induction we obtain an admissible function r on U such that

Define the Markov kernel

P

on U

by

Using

the

corresponding

random walk we obtain functions

fn

on

U,

n c

No, by

Repeating the argument

we used for the sequence

( fn)

we obtain that the sequence

(in)

is

increasing (note

that on

An, n

E

No)

and that

satisfies

PROPOSITION 2.3. For every n E N,

(15)

PROOF. Fix n E N and let

By

construction of P we know that

Moreover,

for every y E

An,

for every y E As in the

proof

of

Proposition

1.2 we

get

that

and

As before let R := and fix x E

UBC..l -

Since

P (y,

= 0 for every

y E

UB (An

U U

Fn),

we know that

By

the

strong

Markov

property

and

hence

(16)

Therefore Lemma 1.1 now

yields

On the other hand

by

definition

hence

Finally, [TA"., oo]

c

TF.1

U

[TFn oo],

therefore

PROOF OF THEOREM 2.1.

By Proposition 2.3,

for every n

e N,

Thus 1

is

locally

bounded. Since

P-f-

=

f-,

since 7 is continuous and

r 1

1

dist(-, (9U),

we conclude

that 1

is a continuous 7-median function. Because

of

- - ~ - I --

the

function 1

is not harmonic.

REMARKS 2.4. 1. For every

z ~ ( 1, o, ... , o),

(17)

Indeed,

the

proof

of

(2.3)

shows that

The functions

it

l and em, tend to zero at aU

(since it

l and

and,

for every

00

So our claim follows from the fact that

L m2-(m+l)

oo and the

point

m=l

00

(1,0,..., 0)

is the

only

limit

point

of the set

U Cj

contained in the

boundary

a U .

j=2

2. We could have

arranged

without

difficulty

that F is a C°°-function and then

P ¡ = ¡ implies

that

f

is a COO-function as well.

3.

Every

F-median function on U which is bounded

by

some harmonic

function on U is

harmonic,

hence every extremal

positive

harmonic function

on U is an extremal F-median function. So the euclidean

boundary

of U is

a proper subset of the Martin

boundary

for the random walk

given by

r.

(A

close

inspection

should reveal that the

function f

we constructed is an extremal F-median function and that it is up to constant

multiples

the

only

extremal

positive

r-median function which is not

harmonic).

REFERENCES

[Ba1] J.R. BAXTER, Restricted mean values and harmonic functions. Trans. Amer. Math.

Soc. 167 (1972), 451-463.

[Ba2] J.R. BAXTER, Harmonic functions and mass cancellation. Trans. Amer. Math. Soc.

245 (1978), 375-384.

[CV] A. CORNEA - J. VESELÝ, Martin

compactification

for discrete potential theory.

Potential Analysis, (to appear).

[DM] C. DELLACHERIE - P.A. MEYER, Probabilités et potentiel, Théorie discrète du

potentiel. Hermann, Paris, 1983.

[HN1] W. HANSEN - N. NADIRASHVILI, A converse to the mean value theorem for harmonic functions. Acta Math. 171 (1993), 139-163.

[HN2] W. HANSEN - N. NADIRASHVILI, Mean values and harmonic functions. Math. Ann.

297 (1993), 157-170.

(18)

[HN3] W. HANSEN - N. NADIRASHVILI, Littlewood’s one circle problem. J. London Math.

Soc. (2), (to appear).

[HN4] W. HANSEN - N. NADIRASHVILI, Liouville’s theorem and the restricted mean value property. J. Math. Pures Appl., (to appear).

[HN5] W. HANSEN - N. NADIRASHVILI, On the restricted mean value property for measurable functions. In: "Classical and Modern Potential Theory and Applications", NATO ASI

series (K. GowriSankaran et al. eds.), 267-271. Kluwer 1994.

[Hu] F. HUCKEMANN, On the ’one circle’ problem for harmonic functions. J. London

Math. Soc. (2) 29 (1954), 491-497.

[NV] I. NETUKA - J. VESELÝ, Mean value property and harmonic functions. In:

"Classical and Modem Potential Theory and Applications", NATO ASI series (K.

GowriSankaran, M. Goldstein eds.), 359-398.

[Re] D. REVUZ, Markov chains. North Holland Math. Library 11, 1975.

[Ve1] W.A. VEECH, A converse to Gauss’ theorem. Bull. Amer. Math. Soc. 78 (1971), 444-446.

[Ve2] W.A. VEECH, A zero-one law for a class of random walks and a converse to Gauss’

mean value theorem. Ann. of Math. (2) 97 (1973), 189-216.

[Ve3] W.A. VEECH, A converse to the mean value theorem for harmonic functions. Amer.

J. Math. 97 (1975), 1007-1027.

Fakultat fur Mathematik Universitat Bielefeld Universitatsstrasse

D-33615 Bielefeld, Germany

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