Baire Category, Probabilistic Constructions and Convolution Squares
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 />
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