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C OMPOSITIO M ATHEMATICA

H ASSE C ARLSSON S TEPHEN W AINGER

An asymptotic series expansion of the multidimensional renewal measure

Compositio Mathematica, tome 47, n

o

3 (1982), p. 355-364

<http://www.numdam.org/item?id=CM_1982__47_3_355_0>

© Foundation Compositio Mathematica, 1982, tous droits réservés.

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355

AN ASYMPTOTIC SERIES EXPANSION OF THE MULTIDIMENSIONAL RENEWAL MEASURE

Hasse

Carlsson1 and Stephen Wainger2

COMPOSITIO MATHEMATICA, Vol. 47, Fasc. 3, 1982, pag. 355-364

© 1982 Martinus Nijhoff Publishers - The Hague

Printed in the Netherlands

1. Introduction and main theorem

Let

p(x) dx

be an

absolutely

continuous

probability

distribution on

Euclidean d-dimensional space with

non-vanishing

mean vector 03BC. As usual we define the renewal measure v

by

the formula

for any Borel set E. Then it is well known

that,

if say

Q

is the unit

cube,

where p =

1 2(d - 1).

See

[1], [2], [4],

and

[6].

We are concerned here

with the error

In one dimension the

decay

of

E(03BB)

is to a

large

extent

independent

of

the distribution

p(x), provided p(x)

has

sufficiently

many moments. For

example if 11 |x|kp(x)dx

+

oo, k

=

2, 3, 4,...,

then

1 Supported

by the Swedish Natural Science Research Council.

2 Supported in part by an N.S.F. grant at the University of Wisconsin.

0010-437X/82090355-10$00.20/0

(3)

(See

however Stone

[7]

where it is shown that

where

R(03BB)

does

depend

on

p(x).)

In contrast to

this,

in more than one dimension it is not true in

general

that

no matter how many moments are assumed finite. In fact

E(03BB)

has an

asymptotic

series

expansion

which is very much

dependent

on the

complete

structure of

p(x).

One may

get

a

feeling

for this

phenomena by considering

the follow-

ing special example. Suppose

dP is a

singular

measure in the

plane supported

on the line x = 1 and smooth on that line. So for a

C’

function

f,

with

g c- C 0 ’. Suppose yg(y)dy

= 0. Then dP*" will be

supported

on the

line x = n and its distribution on this line is

governed by

the local cen-

tral limit theorem which is very distributional

dependent.

It follows ob-

viously

that

v(Q

+

n)

is also very

dependent

on the distribution of g.

To state our theorem we need some notation. Let 1t be the

hyperplane through

the

origin perpendicular

to y. For x in

IRd

let xi be the pro-

jection

of x on y and let x’ be the

projection

on n. We let x2, ..., Xd denote the standard coordinates in n of x’. Then we consider the cova-

riance matrix

where X =

(X1,...,Xd)

is a random vector with distribution

p(x) dx. By

Q) j we mean an

expression

of the form

where each

Qk

is a

homogeneous polynomial

of

degree k

in x’ whose

coefficients are determined

by

the moments of

p(x).

We shall prove the

following

result.

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357

THEOREM:

If p(x)

has a

sufficient

number

offinite

moments then

where

The estimate is

uniform

in x’.

REMARK 1: úJj is bounded in any

paraboloid |x’|2 ~ Cxi

and thus the

behavior of

v(Q

+

x)

in such a

paraboloid

is determined

by (2)

up to

"order" 03C1

| k 2.

REMARK 2: The

explicit

form of

(1)

in terms of the moments of

p(x)

is

rather

complicated.

For instance in

R2

we have

where

REMARK 3: We will prove

(2)

if

and

In fact one can prove the

sharper

result

(5)

for any a 1 if one assumes that

and

for some e &#x3E; 0. For the

stronger

result one needs to use more delicate

techniques

such as those

developed

in

[1].

In

proving

the theorem we need the "correct" method of

expanding f(t)

=

p(t).

We write

where

pj(03BB2t1, Àt’)

=

03BBjpj(t1, t’),

for À &#x3E; 0. This method of

counting

de-

grees has been

employed

in several

complex

variables and

operators

on

nilpotent

groups. See

[3]

and

[5].

2. Proof of the theorem

Let

~(x)

be COO and have

support

in the unit cube

Q

=

{x; |xi| ~ 1}

and

put ~03B5(x) = 03B5-d~(x/03B5).

Let X, denote the indicator function of the set

E,

and

put Qr = {x; lxil ~ r}.

Let

Qk

be the measure with

density hk,

let

N denote the

integer [p

+

1 2k]

+ 1 and

put

M =

2(N - p).

We shall

prove

where C can be chosen

uniformly

for r

bounded,

and

(2)

follows

easily

from

(3)

and

(4) by putting e

=

xi m

with m

large enough. (As

N ~ p

+ 1 2(k

+

1)

and M ~ k +

1,

we obtain a

sharper

result than

(2).

This is

possible

as we assume a

stronger

moment con- dition than necessary; compare Remark

3.)

(6)

359

We assume without loss of

generality

that

IJII

= 1 and that B is the

identity

matrix.

Let us turn to the estimate

(3). Set f (t) = e-it·xp(x)dx.

As observed in

[1], = (1 - f)-1 ~ L1loc(Rd). So

Let

03C8(t)

be

C.

and 1 near the

origin. Then,

as

(1 - f(t))-1

is bounded if

t is bounded away from the

origin

and xQr and its derivatives are

bounded

by

a constant times

03A0di=1 |ti|-1, Itl

~ + ce, N

integrations by parts gives

It remains to consider

The

general

idea is to use the

Taylor expansion

of

f

at the

origin

to

prove that

By expanding e-it·x

in a

Taylor

series and

integrating

term

by

term,

we get

where

Pit)

=

Pj(t1, t’)

is a

polynomial homogeneous

in the sense that

The coefficients of

Pj

are determined

by

the moments of

p(x).

From the

Taylor expansion

of

e-it·x

and the moment condition

imposed

on

p(x),

we

get

if n M + 2 that

(7)

where

Furthermore,

and

~lRn/~tl1

is bounded if

n/2

1 ~ N.

Write

By iteration,

we find

We write

and

expand R2(t) by

the multinomial theorem to obtain

Here

where E’ is a finite sum

with i 1 + i3 + ... + iM+2 = j and i 1

~ 1. We

claim that

SM

has N derivatives with

respect

to

t 1

that are

locally

in-

tegrable.

Granted this we can

integrate by parts

N times to obtain

(8)

361

To see that

SM(t)

has N

locally integrable derivatives,

note that the

moment

assumption

on

p(x) implies

that

f(t)

is differentiable N times with

respect

to t 1. Hence

SM(t)

is differentiable N times

if t ~

0.

Furthermore,

in a

neighborhood

of the

origin

every

quotient occurring

in

SM

is bounded

by

a constant times

(ltll + |t’|2)1 2(M - 1) (see (10)).

As

each differentiation with

respect

to t 1 introduces at worst a

multipli-

cative factor of size

(Itll + It’12)-1 (see (11)),

we

get

In view of

(7), (13)

and

(14)

we have

where

ql,j(t)

is a

polynomial satisfying

Write

Now

sufhciently high

order derivatives with

respect to t 1

to

are

integrable functions,

so

{(03C8(t) - 1)ql,j(t)P-(j+1)2(t)}v

is a function in

xi &#x3E; 0 and is

O(x-k1),

x1 ~ + oo, for any k. Thus we

get

from

(15)

that

where

l,j

=

ql,jP-(j+1)2.

From

(16)

we see that

(9)

which

implies

By letting

we

get

Now if we define cvk

by

we have

03C9k(x1, 0)

= Ck which agrees with

(1).

To see that

(Ok(X)

has the

representation (1)

also when

x’ =1 0,

we first observe that the Fourier transform of

is

see

[1].

From this we obtain

where the derivatives and the Fourier transform are

interpreted

in the

sense of distributions. As

xp1w(x)

E

C°°

if x ~

0,

we see that

:IZ xp1w(x)

for x ~ 0 is a function obtained from

x i w(x) by (ordinary)

differentia- tion. From this the

representation (1)

follows

easily by

induction. We also see that the terms

~03B5*~Qr*Ql,j in (17)

with 1 -

2j

&#x3E; M is

O(x-N1),

x1 ~ + oo . Thus

(9)

follows from

(17).

This

completes

the

proof of (3),

as

it is an immediate consequence of

(5), (6), (7)

and

(9).

(10)

363

To prove

(4)

we observe that if y E supp

0,,

then

which

implies

as v is a

nonnegative

measure.

Furthermore,

As y

E supp

0, implies

that the

symmetric

difference between

Q1 ±E

+ x -

- y and

Q

+ x is included in

{x;

1 - 203B5 ~

lxil

~ 1 +

2el

and

Qm

has a

bounded

density,

we

get

This

completes

the

proof

of the theorem as

(19)

and

(20) implies (4).

REMARK 4: It can be seen from the

proof

that the theorem is true for any measure that satisfies

lim|t|~~ inf|1 - f(t)| &#x3E; 0.

Also

Q

can be an

arbitrary parallelepiped

and the estimate is uniform for

Q

in bounded

sets.

[1] H. CARLSSON: Error estimates in d-dimensional renewal theory. Comp. Math. 46 (1982) 227-253.

[2] R.A. DONEY: An analogue of the renewal theorem in higher dimensions. Proc. London Math. Soc. (3) 16 (1966) 669-684.

[3] G.B. FOLLAND and E.M. STEIN: Estimates for the

~b

complex and analysis on the Heisenberg group. Comm. Pure Appl. Math. 27 (1974) 429-552.

[4] P.E. NEY and F. SPITZER: The Martin boundary for random walk. Trans. Amer. Math.

Soc. 121 (1966) 116-132.

[5] L.P. ROTHSCHILD and E.M. STEIN: Hypoelliptic differential operators and nilpotent

groups. Acta Math. 137 (1976) 247-320.

[6] A.J. STAM: Renewal theory in r dimensions, I. Comp. Math. 21 (1969) 383-399.

[7] C.J. STONE: On characteristic functions and renewal theory. Trans. Amer. Math. Soc.

120 (1965) 327-342.

(11)

(Oblatum 15-VII-1981 &#x26; 29-1-1982)

Hasse Carlsson

Department of Mathematics

University of Gôteborg

S-412 96 Gôteborg

Sweden

Stephen Wainger

Department of Mathematics

University of Wisconsin Madison, Wisconsin 53706 USA

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