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Brun's constant

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Contents

Definition

Brun's constant is the (possibly infinite) sum of reciprocals of the twin primes \frac{1}{3}+\frac{1}{5}+\frac{1}{5}+\frac{1}{7}+\frac{1}{11}+\frac{1}{13}+\frac{1}{17}+\frac{1}{19}+\cdots. It turns out that this sum is actually convergent. Brun's constant is equal to approximately .

Proof of convergence

Everywhere below, will stand for an odd prime number. Let \pi_2(x)=\#\{p\le x:p+2\mathrm{\ is\ also\ prime\,}\}. We shall prove that \pi_2(x)\le C\frac{x}{(\ln x)^2}(\ln\ln x)^2 for large with some absolute constant . The technique used in the proof is a version of the Principle of Inclusion-Exclusion and is known nowadays as Brun's simple pure sieve.

Lemma

Let . Let \sigma_k=\sum_{1\le i_1<\dots<i_k\le n}a_{i_1}\dots a_{i_k} be the -th symmetric sum of the numbers . Then 1-\sigma_1+\sigma_2-\dots-\sigma_k\le \prod_{j=1}^n(1-a_j)\le 1-\sigma_1+\sigma_2-\dots+\sigma_\ell for every odd and even .

Proof of Lemma

Induction on .


Now, take a very big and fix some to be chosen later. For each odd prime , let

A_p=\{n\le x:p\mid n\mathrm{\ or\ }p\mid n+2\}.

Clearly, if , and for some , then either or is not prime. Thus, the number of primes such that is also prime does not exceed y+\left(x-\left|\bigcup_{p\le y}A_p\right|\right).

Let now be an even number. By the inclusion-exclusion principle,

\left|\bigcup_{p\le y}A_p\right|\ge\sum_{p\le y}|A_p|-\sum_{p_1<p_2\le y}|A_{p_1}\cap A_{p_2}|+\sum_{p_1<p_2<p_3\le y}|A_{p_1}\cap A_{p_2}\cap A_{p_3}|-\dots-\sum_{p_1<\dots<p_\ell\le y}|A_{p_1}\cap\dots\cap A_{p_\ell}|

Let us now estimate . Note that the condition n\in A_{p_1}\cap\dots\cap A_{p_j} depends only on the remainder of modulo and that, by the Chinese Remainder Theorem, there are exactly remainders that satisfy this condition (for each , we must have or and the remainders for different can be chosen independently). Therefore

|A_{p_1}\cap\dots\cap A_{p_j}|=\frac{2^j x}{p_1\cdot\dots\cdot p_j}+R(p_1,\dots,p_j)

where . It follows that

x-\left|\bigcup_{p\le y}A_p\right|\le x(1-\sigma_1+\sigma_2-\dots+\sigma_\ell)+y^{\ell}

where is the -th symmetric sum of the set . Indeed, we have not more than terms in the inclusion-exclusion formula above and each term is estimated with an error not greater than .

Now notice that 1-\sigma_1+\sigma_2-\dots+\sigma_\ell=(1-\sigma_1+\sigma_2-\dots-\sigma_{\ell-1})+\sigma_\ell\le\prod_{p\le y}\left(1-\frac 2p\right)+\sigma_\ell by the lemma. The product does not exceed \prod_{p\le y}\left(1-\frac 1p\right)^2\le\frac {C}{(\ln y)^2} (see the prime number article), so it remains to estimate . But we have

\sigma_\ell\le \frac{1}{\ell!}\left(\sum_{p\le y}\frac 2p\right)^\ell\le\frac 1{\ell!}(2e\ln\ln y)^\ell\le\left(\frac{2e^2\ln\ln x}{\ell}\right)^\ell.

This estimate yields the final inequality

\pi_2(x)\le y+ x\left[\frac C{(\ln y)^2}+\left(\frac {2e^2\ln\ln x}{\ell}\right)^\ell\right]+y^\ell.

It remains to minimize the right hand side over all possible choices of and . We shall choose and . With this choice, every term on the right does not exceed C\frac{x}{(\ln x)^2}(\ln\ln x)^2 and we are done.

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