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On the Characters and the Plancherel Formula of Nilpotent Groups ...

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300 DUDLEY<br />

(a) is equivalent to (e) since a linear functional on a normed space is<br />

continuous if <strong>and</strong> only if it is bounded on <strong>the</strong> unit ball. The pro<strong>of</strong><br />

is complete.<br />

Before treating GC-sets, we introduce some facts we need about<br />

function-valued r<strong>and</strong>om variables. Let S be a metric space with a<br />

countable dense subset A = {+‘ZZ1 . Let %(S) be <strong>the</strong> Banach space<br />

<strong>of</strong> bounded continuous real-valued functions on S, with supremum<br />

norm II * IL . We say Xi, X, ,... are given as a set <strong>of</strong> V(S)-valued<br />

r<strong>and</strong>om variables if probabilities<br />

Pr (Xi(ti) E Aij , i, j = 1, 2 ,...)<br />

are defined for any points t, , t, ,..., in S <strong>and</strong> Bore1 sets A, in <strong>the</strong><br />

real line. Then <strong>the</strong> norms<br />

II Xi I/m = SUP {I xi(t) I : t E A)<br />

are measurable. Note, however, that W(S) will not be separable if S<br />

is not compact. Then, <strong>the</strong> distributions <strong>of</strong> <strong>the</strong> Xi will not be expected<br />

to be defined on all open sets in V(S) for <strong>the</strong> supremum norm topo-<br />

lo!3 (cf. PI).<br />

A r<strong>and</strong>om variable X in V(S) will be called symmetric if - X has<br />

<strong>the</strong> same distribution as X. Independence <strong>of</strong> r<strong>and</strong>om variables Xi<br />

in q(S) is defined also, naturally, to mean that <strong>the</strong> sets <strong>of</strong> real r<strong>and</strong>om<br />

variables<br />

Ai = {Xi(t) : t E S}<br />

are independent for different values <strong>of</strong> i.<br />

Let X, be independent <strong>and</strong> symmetric in %‘(S) <strong>and</strong><br />

The following generalization <strong>of</strong> a Lemma <strong>of</strong> P. Levy is proved much<br />

like <strong>the</strong> classical version (Loeve [23], p. 247).<br />

LEMMA 4.4. For any LY > 0,<br />

Pr (max {\I S, 11 : k = l,..., 4 > 4 < 2 Pr (II S, II > 4.<br />

Pro<strong>of</strong>. For each k = l,..., m, j = 1, 2 ,..., <strong>and</strong> s = f 1, let<br />

Afk, j, s) = {w : )I Si 11 < a, i = l,..., k - 1, ) &(x0) 1 < OL,<br />

q = l,..., j - 1, sS,&) > a}.

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