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On metric theorems in the theory of uniform distribution

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(1)

C OMPOSITIO M ATHEMATICA

Y ENENG S UN

On metric theorems in the theory of uniform distribution

Compositio Mathematica, tome 86, n

o

1 (1993), p. 15-21

<http://www.numdam.org/item?id=CM_1993__86_1_15_0>

© Foundation Compositio Mathematica, 1993, tous droits réservés.

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Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques

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(2)

On metric theorems in the theory of uniform distribution

YENENG SUN

©

Department of Mathematics, National Universety of Singapore, Singapore Received 15 August 1991; accepted 14 February 1992

1. Introduction

As is

apparent

from the work

of Cigler [2]

and

[3], Helmberg

and Paalman-De

Miranda

[4],

Hlawka

[5], Kemperman [6],

Niederreiter

[8]

and many

others,

the methods and results of

probability theory play

an

important

role in the

theory

of uniform distribution. For

example,

it follows from the

strong

law of

large

numbers that almost all sequences in a second countable

compact

Hausdorff space are

uniformly

distributed with

respect

to a

given probability

measure on the space

(see

p.

182, [7]).

In this note, we shall obtain a

general probabilistic

result

corresponding

to another metric theorem "almost no

sequence is well distributed"

(see [8]), namely,

for a

sequence {fn}n~=1

of

independent, identically distributed,

real-valued random variables on a

proba- bility

space

(Q, -4, P),

if the common distribution of

fn’s

is not a

point

measure

and if

~03A9 If, dP

+ oo, then the set U of all the w’s such that

uniformly

in k =

0, 1, 2, ...

is a null set.

Moreover,

for the case that Q is the

sample

space of an infinite

coin-tossing

and

fn

is the random variable

corresponding

to the

output

of the n-th toss, we characterize the set U as the

image

of all well distributed sequences mod 1 under a natural map. Note that

by

the metric theorem on well distributed sequences, we know that well distributed sequences are rather scarce.

However,

in the next section we shall show that if

there exists a well distributed sequence in a space with at least two

points,

then

there are at least continuum many well distributed sequences in that space. The

same result also holds for

uniformly

distributed sequences.

2. The Results

Let 1À

be a

regular

Borel

probability

measure on a

compact

Hausdorff space X. A

(3)

16

sequence

(xn)~n=1

in X is said to be

03BC-well

distributed in

X,

if for any

given

continuous function

f on X,

uniformly

in k =

0,1, 2, ....

Now let

%£x

be the set of all

p-well

distributed sequences in X. Let X~ be the set of all sequences in X and 03BC~ be the

completion

of the

product

measure on X~ induced

by

y. It was shown

by

Niederreiter

[8]

that

if y

is not a

point

measure, then

03BC~(WX)

= 0. Note that the result for the

case that X is second countable can be found in

[4].

In the

following proposition

we shall show that if X is not a

singleton

and if there is a

,u-well

distributed sequence in

X,

then there are at least continuum many

1À-well

distributed sequences in X. In

fact,

the set

ji/x of p-well

distributed sequences and the set

JX

of

,u-u.d.

sequences have the same

cardinality

as X’.

PROPOSITION 1.

If WX ~ ~,

then the

cardinality of WX

is the same as that

of

Xoo.

Proof.

Let Wo =

(an):=

1 be a

,u-well

distributed sequence in X. For any sequence cv =

(xn)~n=1 in X~,

define a new sequence

F(03C9) = (y n ):= 1 by letting

Since a

good

distribution is not afflicted

by change

on square indices

(see

p. 140

or p.

202, [7]),

the sequence

F(co)

is still

p-well

distributed.

Therefore,

the

cardinalities of

1f/x

and X~ are the same. 0 REMARKS.

(1)

It is shown in

[1]

that there

always

exists a

,u-well

distributed sequence in X if X is second countable.

Hence,

in this case, we have continuum many

p-well

distributed sequences and continuum many

,u-u.d.

sequences in X if X is not a

singleton.

(2)

For a

regular probability

measure p on a

compact

Hausdorff space

X,

if there is a

,u-u.d.

sequence in

X,

then the set

JX

of all

03BC-u.d.

sequences has the

same

cardinality

as

X~,

no matter whether

p-well

distributed sequences exist at all in X.

(3)

For any nonatomic Borel

probability

measure p on a second countable

compact

Hausdorff space

X,

it is shown in

[9]

that there is a Borel

measurable,

measure

preserving mapping

F from the unit interval 1

together

with the

Lebesgue

measure 03BB on 7 to X such that the sets of

discontinuity

of F and

F -1

are null sets. Thus for any sequence co =

(xn)~n=

1 in

I,

03C9 is u.d.

(well distributed)

mod 1 if and

only

if

(F(xn)):=

1 is

/J-u.d. (p-well distributed)

in X.

Thus,

u.d.

(4)

sequences and well distributed sequences in X behave in the same way as those in I.

Now,

let X =

{0, 1}, 03BC({0}) = 03BC({1})

=

1/2.

The space X~ could be

interpreted

as the

sample

space of an infinite

coin-tossing.

For

each n 1,

let nn be the

projection

such that for any co =

(xn)~n=1

in

X~, nn(W)

= Xn. It is clear that

{03C0n}~n=

1 is a sequence of

independent, identically

distributed random variables.

It is

easily

verified that cv is

p-well

distributed in X if and

only

if

uniformly

in k =

0, 1, 2,....

Since 03BC~

(WX)

=

0,

we know that for almost no 03C9,

uniformly

in k =

0,1, 2, ....

Thus it is natural to consider whether a similar result still holds for a

general

sequence of

independent, identically distributed,

real-

valued random variables. The

following proposition

answers this

question,

whose

proof

is similar to the

proof

of the metric theorem for well distributed sequences in

[8].

PROPOSITION 2. Let

{fn}~n=1

be a sequence

of independent, identically distributed, real-valued,

random variables on a

probability

space

(Q, (JI, P).

Assume

that

~03A9 If, dP

+ oo. Let U be the set all w such that

uniformly

in k =

0, 1, 2,.... If

the distribution

of fl

is not a

point

measure, then

P( U)

= 0.

Proof. Let p

be the distribution of

fl

on R.

Since li

is not a

point

measure, there is a real number b such that b

~ 03A9 fi

dP =

~R

x

dp

and 0

03BC(( -

oo,

b])

1.

Let

03B1 =03BC((-~, b])

and a =

In f,

dP. For any

given

N

1, k j 0,

let

It is clear that

(5)

18

Hence

P(ANk) (1

-

aN).

Now let

For any

given

N

1,

the sequence

of random variables is

independent,

and hence

Thus we have

P(A)

= 0.

Next,

we show that U is a subset of A. To this

end, pick

any cv in U. Then there is a

positive integer No

such that

for all k =

0, 1, 2,

....

Therefore,

for each k =

0, 1, 2,...,

we have

Thus,

co E

Afo

for all

k

0 and hence co E A.

Therefore,

we have

P( U)

= 0. u

REMARKS.

(1) By

the

strong

law of

large numbers,

we know that for almost all

co in Q.

for each k =

0,1, 2, .... However,

the above

proposition

shows that for almost

no co in

Q,

the convergence is uniform in k =

0,1, 2, ....

(2)

Let

X, 1À

and

%£x

be the same as in the

beginning

of this section. Then the metric result 03BC~

(WX)

= 0

clearly

follows from the above

proposition.

In

fact,

if 03BC is not a

point

measure, then there exists a

p-continuity

subset M of X with

(6)

0

M(M)

1

(see [8]).

To obtain the metric

result,

we can

apply

the

proposition

to the

sequence {fn}~n=1

of random variables on

(X~, BX~, 03BC~)

defined

by fn(03C9) = ~M(xn)

for any o =

(x1, ... , xn, ... )

in

X~,

where xM is the characteristic function of M in X.

In the rest of this paper, we shall

give

a characterization of the set U of all the sequences Co’ =

(in)~n=

1 of an infinite

coin-tossing

such that

uniformly

in k =

0,1, 2, ....

As noted

earlier,

U =

W{0,1}~.

Define a function F

from

[0, 1)

to

{0, 1} by

Then we have the

following

PROPOSITION 3. An

infinite coin-tossing

w’ =

(in)~n=

1 is in U

if and only if there

is a well distributed sequence (0 =

(Xn):= 1

mod 1 such that 03C9’ =

F(cv), i.e., in

=

F(xn) for

each n.

Proof.

To prove the

sufficiency,

let cv =

(xn)~n=1

be well distributed mod 1 and co’ =

F(co).

Since F is Riemann

integrable,

we have

uniformly

in k =

0, 1, 2,....

Therefore co’ is an element of U.

To prove the

necessity,

let co’ =

(in)~n= 1 be

a member of U. For each n

1,

let

an =

{n 2} -the

fractional

part

of

nJ2.

Then the sequence

(an)n 1

is well

distributed mod 1. Define a new sequence (0 =

(xn)~n=

1

by letting

Then it is clear that

F(o))

= co’. All that remains to be shown is that w is well

distributed

mod 1. Let

I’(N, k)

and

I’(N, k)

be the number of O’s and l’s in the finite

sequence {ik+1, ik + 2, ... , ik+N} respectively.

Let

Z(N, k)

be the first n such

(7)

20

that

k n k + N - 1

and

in+1

= 0. Then it is easy to see that

Now,

for a subset E of

[0, 1],

let

A(E; N, k)

be the number of terms 03B1k + 1, 03B1k+2, ... , 03B1k + N that are

lying

in E and let

X(E; N, k)

be the number of terms xk+1, xk+2, ... , xk+N that are in E. For any

pair

of real numbers

a, b

with

0 03B1

b

1 2,

it is

easily

verified that

Since

03C9’ ~ U,

uniformly

in k =

0, 1, 2,

..., and since

uniformly

in p =

0, 1, 2,

..., it is easy to see that

uniformly

in k =

0, 1, 2,

.... The

proof

for the case that

2 1 03B1 b 1 is

the

same. Hence co is well distributed mod 1 and the

proof

is now

complete. 0

REMARK. It is clear that the sequence ay =

(0, 1, 0,1, 0,1, ...)

is an element of

U. The

proof

of

Proposition

1

yields

that we can obtain continuum many members of U

by revising

cvo. Now let a,

fl

be any two real numbers such that

1,

oc,

pare independent

over the rational field

Q.

Since the sequence

((na, n03B2))~n=

1 is u.d. mod 1 in

R2 (see p. 48, [7]),

we know that the sequences

(F({n03B1}))~n=1

and

(F({n03B2}))~n=1

are different elements of

{0,1}~. Thus,

if we let Je be a Hamel basis of R

including 1,

then the set

(8)

is a subset of U with continuum many

elements,

which are in a certain sense

more "random" than 03C90.

References

1. Baayen, P. C. and Hedrlin, Z.: The existence of well distributed sequences in compact spaces,

Indag. Math. 27 (1965), 221-228.

2. Cigler, J.: Der individuelle Ergodensatz in der Theorie der Gleichverteilung mod 1, J. reine angew.

Math. 205 (1960), 91-100.

3. Cigler, J.: A characterization of well-distributed sequences, Compositio Math. 17 (1966), 263-267.

4. Helmberg, G. and Paalman-De Miranda, A.: Almost no sequence is well distributed, Indag. Math.

26 (1964), 4882014492.

5. Hlawka, E.: Folgen auf kompakten Räumen, Abh. math. Sem. Univ. Hamburg 20 (1956), 233-241.

6. Kemperman, J. H. B.: Probability methods in the theory of distributions modulo one, Compositio Math. 16 (1964), 106-137.

7. Kuipers, L. and Niederreiter, H.: Uniform Distribution of Sequences, John Wiley &#x26; Sons, New York, 1974.

8. Niederreiter, H.: On the existence of uniformly distributed sequences in compact spaces,

Compositio Math. 25 (1972), 93-99.

9. Sun, Y.: Isomorphisms for convergence structures, National University of Singapore, 1991.

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