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Baire Category, Probabilistic Constructions and Convolution Squares

Baire Category, Probabilistic Constructions and Convolution Squares

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Now suppose that j(1), j(2), . . . , j(q) are distinct integers with 1 ≤ j(k) ≤ n.<br />

By symmetry or direct calculation, the r<strong>and</strong>om variable<br />

is uniformly distributed <strong>and</strong> so<br />

<br />

q<br />

Pr<br />

k=1<br />

q<br />

k=1<br />

mkYj(k)<br />

mkYj(k) ∈ [−8 −1 n −q , 8 −1 n −q ]<br />

<br />

= 4 −1 n −q .<br />

There are no more than n q different q-tuples j(1), j(2), . . . , j(q) of the type<br />

discussed, so, by the same kind of argument as we used in the previous<br />

paragraph, the probability that<br />

q<br />

k=1<br />

mkYj(k) ∈ [−8 −1 n −q , 8 −1 n −q ]<br />

for any such q-tuple is no more than 1/4.<br />

Combining the results of our last two paragraphs, we see that, provided n<br />

is large enough, the probability that xj = Yj will fail to satisfy the conditions<br />

of our lemma is at most 1/2. Since there must be an instance of any event<br />

with positive probability, the required result follows. <br />

9 Completion of the construction<br />

The process by which we move from Lemma 8.4 to showing that H(q,p,m)<br />

is dense looks complicated but is not. I suggest the reader concentrates on<br />

the ideas rather than the computations.<br />

The next exercise merely serves to establish notation.<br />

Exercise 9.1. Let K : R → R be an infinitely differentiable function with<br />

the following properties.<br />

(i ′ ) K(x) ≥ 0 for all x ∈ R.<br />

(ii ′ ) <br />

K(x)dx = 1.<br />

R<br />

(iii ′ ) K(x) = 0 for |x| ≥ 1/4.<br />

If N is a positive integer <strong>and</strong> we define KN : T → R by<br />

<br />

NK(Nt) if |t| ≤ 1/(4N),<br />

KN(t) =<br />

0 otherwise,<br />

28

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