2 Basic Estimates
This section contains standard estimates from analytic number theory that will be required.
For any \(X\geq 3\)
Since \(\omega (n) = \sum _{p\leq n}1_{p\mid n}\), the left-hand side equals, after a change in the order of summation,
Since \(\lfloor x\rfloor =x+O(1)\), this is equal to
using Lemma 2.7 and the trivial estimate \(\pi (X)\ll X\).
For any \(X\geq 3\)
Since \(\omega (n) = \sum _{p\leq n}1_{p\mid n}\), the left-hand side is equal to, after expanding the sum and rearranging,
The part of the sum where \(p=q\) is
as in the proof of Lemma 2.1. If \(p\neq q\), then \(p\mid n\) and \(q\mid n\) if and only if \(pq\mid n\), and so the sum over \(n\) is bounded above by
Therefore
By Lemma 2.7 this is \(X(\log \log X+O(1))^2 = X(\log \log X)^2+O(X\log \log X)\). The lemma follows by combining the estimates on the two parts of the sum.
For any \(X\geq 3\)
The left-hand side equals
The first summand is at most, by Lemma 2.2,
The second summand is equal to, by Lemma 2.1,
The third summand is equal to
Therefore the main terms cancel, and
as required.
For any \(X\geq 3\)
For any \(\epsilon \) such that \(0{\lt}\epsilon \leq 1\), if \(n\) is sufficiently large depending on \(\epsilon \), then
We first show that, for any real \(K\geq 2\),
Write \(n\) as the product of unique prime powers \(n=p_1^{k_1}\cdots p_r^{k_r}\), so that
If \(p_i{\gt}2^K\) then
since \(1+k \leq 2^k\) for all integer \(k\geq 0\) by Bernoulli’s inequality. Therefore
If \(p_i{\lt}2^K\) then, since \(p_i\geq 2\),
using the fact that \(x+1/2\leq 2^x\) for all \(x\geq 0\). Since \(K\geq 2\) the denominator here is \(\geq (1+k_i)/K\), and so \(\frac{k_i+1}{p^{k_i/K}}\leq K\). Therefore
as required.
The second part of the proof is to apply the first part with
(The right-hand side tends to \(\infty \) as \(n\to \infty \), so for sufficiently large \(n\) we have \(K\geq 2\) as required.)
Note that \(2^K= (\log n)^{\frac{2}{2+\epsilon }}\leq (\log n)^{1-\epsilon }\) (since \(1-\epsilon {\gt}\frac{2}{2+\epsilon }\), since \(\epsilon \leq 1\)) and
Taking logarithms of the inequality in the first part,
For any fixed \(\epsilon {\gt}0\), the function \(\frac{(\log \log \log n)(\log \log n)}{(\log 2)(\log n)^{\epsilon }}\to 0\) as \(n\to \infty \), so for sufficiently large \(n\) it is \(\leq \epsilon /2\), and hence
as required.
There exists a constant \(c\) such that
where the sum is restricted to prime powers.
There exists a constant \(c\) such that
where the sum is restricted to primes.
For any \(X\geq 2\),
For any \(x,y\geq 0\) and \(u\geq v\geq 1\)
Let \(P = \prod _{u\leq p\leq v}p\). The left-hand side of the estimate in the lemma can be written as
Using the identity \(\sum _{d\mid m}\mu (d) = 1\) if \(m=1\) and \(0\) otherwise, the fact that \(d\mid (n,P)\) if and only if \(d\mid n\) and \(d\mid P\), and that \(\sum _{n\leq z}1_{d\mid n}=\left\lfloor \frac{z}{d}\right\rfloor \) for any \(z\geq 0\),
Since \(\lfloor X\rfloor = X+O(1)\) for any \(X\), we have
for any \(x,y,d\), and hence
We have \(\sum _{d\mid P}1=\tau (P)=2^k\) where \(k\) is the number of primes in \([u,v]\), which is at most \(v\), so the error term here is \(O(2^v)\). Finally, expanding out the product shows that
Inserting this into the above finishes the proof.