• Aucun résultat trouvé

A metric property of some random functions

N/A
N/A
Protected

Academic year: 2022

Partager "A metric property of some random functions"

Copied!
6
0
0

Texte intégral

(1)

B ULLETIN DE LA S. M. F.

R OBERT K AUFMAN

A metric property of some random functions

Bulletin de la S. M. F., tome 99 (1971), p. 241-245

<http://www.numdam.org/item?id=BSMF_1971__99__241_0>

© Bulletin de la S. M. F., 1971, tous droits réservés.

L’accès aux archives de la revue « Bulletin de la S. M. F. » (http:

//smf.emath.fr/Publications/Bulletin/Presentation.html) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/

conditions). Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright.

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

http://www.numdam.org/

(2)

99, 1 9 7 1 , p. a41 ^ 345.

A METRIC PROPERTY OF SOME RANDOM FUNCTIONS

ROBERT &AUFMAN

[Urbana, 111.]

0. Introduction. — Let £1 and £2 be compact linear sets of Hausdorff dimensions d i > o and A > o , and suppose that d = = d i + d . 2 < i . For real numbers / > o, Ft is the set Ei + tE^. It is proved in [3], that dimF^ d excepting a /-set of dimension at most d; in [4], the exceptional set has positive dimension. It is thus natural to search for sets (< comple- mentary " to a given set £2; namely, sets Ei for which the exceptional /-set is void. This particular problem is solved by some theorems in ([I], chap. XV), founded on harmonic analysis. However, the analysis of that work uses special properties of linear mappings, while the method of [3] applies without change to the following non-linear variant. Consider a continuously difTerentiable function h(u, u) defined in the plane, whose partial derivatives satisfy inequalities i^-^-i .- ^C. Setting ht(u, v) =h(u, tv) and .F<==/^(£iX£2), we see that the result of [3]

holds for this definition of Fi. In the next statement, X denotes linear Brownian motion ([I], chap. XI) on [o, oo) and d == di + d^< i.

THEOREM. — Let ht be as defined above and E^[o, oo) a compact set of dimension 1/2 di, while dim£2= d^ Then it is almost sure that

dimht(X(E)xE^^d forallt>o.

Because it is almost sure that dimX(£) == di ([I], p. i43), the set X(E) is <( complementary " to £2 (with respect to the trans- formation A).

After the proof of this theorem, the special choice A == u + v is briefly considered; then it will be explained how this is indeed a simple case.

BULL. SOO. MATH. — T. 99, FASC. 3. 16

(3)

242 R. KAUFMAN.

1. — Suppose that p. and ^ are probability measures in E and £2, respectively; then Ft carries a probability measure o-^ defined by the.

formula

ff(u)^(du) ==fff.h{X(x\ ty)^(dx)Udy).

Let Vk[u] == i when [ u \ < 2-^, Vk[u] ==• o otherwise (k = i, 2, 3, ...) Then by the method of ([2], chap. Ill), it is easy to see that

dimF^ e., provided iT Vk[u — u1} ^(du) ^ (du') == 0(2-^).

In order to handle all values t in an interval, i ^ < ^ 2 , we choose an integer ko so large that

Vk[h(a, ty)—h(b, ty,)]^ V,-4/i(a, sy)—h(b, sy,)],

whenever y, y^E^ and |/—s\^<l-k. Thus we can obtain a lower bound for dimFf, uniform over 1^/^:2, by majorizing

m8ix(teSk)^Vk[h(X(x), ty)—h(X(x'), ty^^dx) ... W), where S ^ = = ( i , I+2-^, ..., 2 } has 1+2^ elements. In the following paragraph, t occurs innocuously as a parameter, and so it is suppressed until the end of the proof.

2. — To each number d e (o, 1/2 di), there is a probability measure ^ in E, fulfilling a Lipschitz condition to exponent ei, and similarly, for each number e^e(o, d^), a measure ^ in £2 (see [2], chap. II). For any numbers a ^ o, b, we form the double integrals

Ik^ffVk[h{X{x\ y)—h(X(a), b)}^(dx)7. (dy)

==fVk[u—h(X(a),b)]^(du).

LEMMA. — The rth moment oflk is0(k2~etk~eak)r, for each r == i, 2, 3,..., uniformly with respect to a and b.

Proof, — The rth power of Ij, is a multiple integral

r

f'"ftl ^(-^A ffy)-A(X(a), b)]y.(dx,) ... Udgr).

/=!

(4)

We can suppose that x^x^.. .^Xr, and then divide the integral into subsets depending upon the relative position of a; here we shall suppose a^Xi. The inequality TTv^o implies the system

\h(X(x,), y,)—h(X(a), b) < 2-^,

| h(X(x^), y^)—h(X(x,), y,) \ < ^.

To these, we can adjoin the inequalities

\X(x,)—X(a)\<k\x—a\r, \X(x^)—X(x,)\<k\x^—x,\^

for the set on which one of these fails has probability < e~2 . These systems of inequalities yield

| y,— b | ^ 2-^+ Ck | x— a |1, | y^—y, | ^ 21-A+ Ck \ x^—Xj ^

where C depends also on t, but is bounded for i ^-1 ^. 2. Because — ^ i,— — ^y — the probability of the first system of inequalities is

r—l

^infG,^ | ^i—al'^FJinfd,^1-^ | x^—Xj \^\

i

To each determination of Xi, ..., Xr a domain of values (t/i, ..., yr) is defined, of measure

r—l

/ l\e2--—_- / 1\<?2

0^-k+k\x—a\2) f^[^+k\x^—x,[') .

To majorize the rth moment, we perform iterated integration; we require a bound for integrals of the type

Cmi{l^-k\x—c\~^{{i~k+k\x—c^)e^(dx).

For the intervals \x—c\<^~k, a contribution (^"^.A^a"^) is obtained. For the intervals [\~n•^x\—c|< 41-/S the magnitude does not exceed

2 ^ — A : ^ — r a e i ^ ^ ? 2 ^ — e s / i ^ ^—/c^ea^7i{l—2ei—e^^

As 2ei+e2^di+d2< i, the sum, for k^n, of all partial integrals, is of magnitude y^k-e^k^e^ g^ from this the required estimate follows.

(5)

244 R. KAUFMAN.

Now, setting

Jk ^f • • • f V,[h(X(x), y) -h(X(x^ y ' } p. (dx).. .7. (dy'), we find by Jensen's inequality the same estimate for the rth moment of Jk.

Let now €3 < 2 Ci + 62. Then

P { J^ 2-^ } == O^-2^-^)7'^.

At this point, we restore the parameter t, and find

P { maxJ^O^ 2-^', ^€ &} == C^^3-2^--^)^^.

Choosing r so large that r (€3 — 2 Ci — 62) +1 < o, we find max Jk(t) == o (2"kcs) almost surely. Since 63 is arbitrarily close to d = di + di, we have finally dimjF^d for i ^ / ^ 2 , almost surely.

In the proof, we allowed t to operate on the coordinate v, since £2 is bounded. But X(E) is almost surely bounded, and so / might also operate on u. In fact, the proof is valid for functions 7i(u, u, t) conti- nuously differentiable in u, v, t provided ,- > o, , > o everywhere.

3. — In the special case h == u + u, we use harmonic analysis of Fourier-Stieltjes transforms. Let ^ and ^ be the measures introduced in the beginning of paragraph 2, and v the transform of ^ by the trajec- tory X:

^(s) =E Ce-^^^dx) = C e-^' v{dx').

By Theorem 1 of ([I], chap. XV),

9 (s) == o( | s I-6) for every e < - Ci.

Also,

f [ X (s) |2 [ s \f ds < oo for every f< 62— i.

^ \ s 1 ^ > 1^1>1 Hence

f |X(s)|2|^(s)|2|5|^ds<oo for every y < 62+01—i.

^ \ s l ^ l' i ^ o i

Now the measure v ^r X has Fourier transform v\ and is supported by X(£)+2?2, so that X(E)+E^ has dimension ^€1+02. (For this paragraph, see [2], chap. III.) The set X(E) is therefore complementary

(6)

to every set £2, but the proof of this fact seems to have little relation to the non-linear problem. Observe that when ^ i + e 2 > i , the set X(E) + ^2 has positive measure, by the Plancherel formula; it would be extremely interesting to obtain a theorem of this type for non-linear mappings, valid for all t > o uniformly; it would also be interesting to find properties of hf dependent upon the higher derivatives of h when these exist.

REFERENCES.

[1] KAHANE (J.-P.). — Some random series of functions. — Lexington, D. C. Heath and Company, 1968 (Heath mathematical Monographs).

[2] KAHANE (J.-P.) et SALEM (R.). — Ensembles parfaits et series trigonometriques

— Paris, Hermann, 1968 (Ac/, sclent, et ind., 1301).

[3] KAUFMAN (R.). — On Hausdorff dimension of projections, Mathematika, t. 15, 1968, p. i53-i55.

[4] KAUFMAN (R.). — An exceptional set for Hausdorff dimension, Mathematika, t. 16, 1969, p. 57-58.

(Texte recu Ie 5 aout 1970.) Robert KAUFMAN,

Department of Mathematics, University of Illinois, Urbana, Illinois 61 801

(fitats-Unis).

Références

Documents relatifs

10 Situation et parcours des jeunes femmes 18-25 ans victimes de violences, Centre Hubertine Auclert, 2016, accessible

a) Elle se retrouve devant une grand cheminée. b) Elle se retrouve sous un arbre de Noël. c) Elle se retrouve sur le traineau du Père Noël. b) Elle voit apparaître des anges. c)

Dans notre exemple, on peut souhaiter dénir une fontion min_elt retournant le plus petit. élément d'un ensemble supposé non vide ('est-à-dire l'élément rangé le plus à gauhe

This Note is a complement to paper [6] , especially Theorem 1.3, when the total ordering imposed on the wreath product C l o S n is defined as follows: the set {0, 1,. The

Nous avons vu, pour l'instant, omment le miroproesseur a aès aux registres et à la mé-..

Pour une valeur se trouvant à l'adresse (de mémoire vive) désignée par le ontenu d'uno. registre (de seize bits, puisque 'est la taille du déplaement), on indique le nom de

Pour trouver le produit de deux nombres compris entre 10 et 20, on ajoute les unités du deuxième nombre au premier nombre, on écrit un zéro à la droite du total, et on ajoute à ce

Les fabricants d'emballages, les conditionneurs, les distributeurs sont tenus de récupérer les emballages ménagers qu'ils mettent sur le marché, ou de souscrire à un système