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Source. Definition and Lemma 3, printed pp. 144–145 (PDF pp. 2–3).

For a fixed positive integer rr, define the coprime factors

hr(n)=∏pα∥nα>rpα,lr(n)=∏pα∥nα≤rpα.h_r(n)=\prod_{\substack{p^\alpha\parallel n\\\alpha>r}}p^\alpha, \qquad l_r(n)=\prod_{\substack{p^\alpha\parallel n\\\alpha\le r}}p^\alpha.

Thus n=hr(n)lr(n)n=h_r(n)l_r(n), and either factor may be one. Write Ω(n)=∑pα∥nα\Omega(n)=\sum_{p^\alpha\parallel n}\alpha, with Ω(1)=0\Omega(1)=0.

Statement. Fix r≥1r\ge1 and c>0c>0. As x→∞x\to\infty, the number of n≤xn\le x satisfying n=lr(n)n=l_r(n) and Ω(n)>clog⁡x/log⁡log⁡x\Omega(n)>c\sqrt{\log x/\log\log x} is at most

xexp⁡(−(c2−o(1))log⁡xlog⁡log⁡x).x\exp\left(-\left(\frac c2-o(1)\right) \sqrt{\log x\log\log x}\right).

The error may depend on fixed r,cr,c.

Complete proof

Put B=log⁡x/log⁡log⁡xB=\sqrt{\log x/\log\log x}, T=log⁡xlog⁡log⁡xT=\sqrt{\log x\log\log x} and A=∑p≤x1/pA=\sum_{p\le x}1/p. The elementary prime-reciprocal bound gives A=O(log⁡log⁡x)A=O(\log\log x); its proof is already supplied in the Croot unit.

Separate the counted integers into those with ω(n)>cB\omega(n)>cB and the remaining set T\mathcal T. The first class satisfies the claimed bound by Lemma 2. For n=∏pαpn=\prod p^{\alpha_p} set g(n)=∏αp!g(n)=\prod\alpha_p!. The multinomial expansion, keeping just products at most xx, gives

∑n≤xΩ(n)=j1g(n)n≤Ajj!.\sum_{\substack{n\le x\\\Omega(n)=j}}\frac1{g(n)n} \le\frac{A^j}{j!}.

Let J=⌊cB⌋+1J=\lfloor cB\rfloor+1. For all large xx, J>2AJ>2A. Successive terms of Aj/j!A^j/j! for j≥Jj\ge J have ratio at most 1/21/2, so

∑n≤xΩ(n)>cB1g(n)n≤∑j≥JAjj!≤2AJJ!.\sum_{\substack{n\le x\\\Omega(n)>cB}}\frac1{g(n)n} \le \sum_{j\ge J}\frac{A^j}{j!} \le \frac{2A^J}{J!}.

The integral estimate log⁡J!≥Jlog⁡J−J\log J!\ge J\log J-J now yields

log⁡2AJJ!≤−Jlog⁡J+Jlog⁡A+J+O(1)=−(c2+o(1))T.\log\frac{2A^J}{J!} \le -J\log J+J\log A+J+O(1) =-\left(\frac c2+o(1)\right)T.

Indeed log⁡J=12log⁡log⁡x+O(log⁡log⁡log⁡x)\log J=\tfrac12\log\log x+O(\log\log\log x), J=(c+o(1))BJ=(c+o(1))B, and log⁡A=O(log⁡log⁡log⁡x)\log A=O(\log\log\log x).

For n∈Tn\in\mathcal T, all αp≤r\alpha_p\le r and ω(n)≤cB\omega(n)\le cB. Consequently

g(n)≤(r!)ω(n)≤(r!)cB.g(n)\le(r!)^{\omega(n)}\le(r!)^{cB}.

Since n≤xn\le x,

∣T∣≤x∑n∈T1n≤x(r!)cB∑n∈T1g(n)n≤xexp⁡(−(c2−o(1))T).|\mathcal T| \le x\sum_{n\in\mathcal T}\frac1n \le x(r!)^{cB}\sum_{n\in\mathcal T}\frac1{g(n)n} \le x\exp\left(-\left(\frac c2-o(1)\right)T\right).

The extra logarithm cBlog⁡(r!)cB\log(r!) is o(T)o(T) because rr is fixed. Adding the first class absorbs a factor two into the o(1)o(1) term.

This supplies the exponential-series tail estimate left abbreviated on p. 145. It includes r=1r=1 and the strict-threshold integer endpoints. It makes no claim with rr growing with xx.