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Chapter 18 The Bombieri–Vinogradov theorem: statement

In this chapter, we state the Bombieri–Vinogradov theorem, which provides surprisingly strong control on the error terms in the prime number theorem in arithmetic progressions when we look at these error terms in aggregate. We also mention some related theorems and conjectures. To attack these (which we will do in Chapter 19), we will need to bring to bear everything we have studied in the course so far!

Section 18.1 Statement of the theorem

For \(m,N\) coprime positive integers, put
\begin{equation*} \psi(x; N, m) = \sum_{n \leq x, n \equiv m \pmod{N}} \Lambda(n). \end{equation*}
Recall that the prime number theorem in arithmetic progressions says \(\psi(x; N, m) \sim x/\phi(N)\text{,}\) and that unconditionally (Theorem 11.11) we could get an error term
\begin{equation*} \psi(x; N, m) = \frac{x}{\phi(N)} + O(x (\log x)^{-A}) \end{equation*}
for any fixed \(A>0\text{.}\) This is only meaningful if \(N = O((\log x)^A)\text{.}\) However, under GRH (for the Dirichlet characters of modulus \(N\)),
\begin{equation} \psi(x; N, m) = \frac{x}{\phi(N)} + O(x^{1/2} (\log x)^{2}),\tag{18.1.1} \end{equation}
and this is meaningful for \(N = O(x^{1/2} (\log x)^{-2})\text{.}\)
The Bombieri–Vinogradov theorem is an amazingly strong unconditional replacement for the GRH-based estimate (18.1.1). It says that if you pick out the worst error term modulo \(N\) for each \(N\) up to about \(x^{1/2}\text{,}\) then add these up, you get roughly what is predicted by (18.1.1).
As remarkable as this is, it is expected that one can do better than this. That said, the following conjecture appears to be extremely hard; for instance, it is not known to follow from GRH.

Remark 18.3.

The fact that Theorem 18.1 is stated with \(\frac{\log Q}{\log x} = \frac{1}{2}-\epsilon\) whereas Conjecture 18.2 is stated with \(\frac{\log Q}{\log x} = 1-\epsilon\) is commonly referenced by saying that Theorem 18.1 establishes level of distribution \(\frac{1}{2}-\epsilon\) for the primes whereas whereas Conjecture 18.2 predicts level of distribution \(1-\epsilon\text{.}\)
Note that in the Bombieri–Vinogradov theorem, for each modulus \(N\) we look at the worst error term among arithmetic progressions of that modulus. If we instead average over the progressions, we should be able to take \(Q\) larger, and in fact that is what happens. (Note: there is a typo in the statement of the theorem in [13].)
Finally, we note that Bombieri proved a slightly stronger result which I will not be proving in this course.
See [3], \S 28 for a proof by Montgomery.

Remark 18.6.

The original theorem of Zhang on bounded gaps between primes [29] uses a modified version of Theorem 18.1, in which one reduces the left-hand side slightly (by picking out some specific residue classes modulo \(N\) rather than taking the maximum) and in exchange one gets to increase the exponent \(1/2\) to something slightly larger. Such a modification had previously been suggested by Motohashi–Pintz [17].

Exercises 18.2 Exercises

2.

The strong Brun–Titchmarsh inequality (a refinement of Exercise 15.4.7) asserts that
\begin{equation*} \pi(x+y; N, m) -\pi(x; N, m) \lt \frac{2y}{\phi(N) \log(y/N)} + O \left( \frac{y}{N \log^2 (y/N)} \right) \end{equation*}
where \(\pi(x; N,m)\) is the number of primes \(p \leq x\) with \(p \equiv m \pmod{N}\text{.}\) Show that this statement, when combined with the Bombieri–Vinogradov theorem (Theorem 18.1), implies
\begin{equation*} \sum_{p \leq x} \tau(p-1) \sim \frac{\zeta(2) \zeta(3)}{\zeta(6)} x \end{equation*}
where \(\tau(n)\) counts the number of divisors of \(n\text{.}\)
Hint.
Use Dirichlet's hyperbola method (Exercise 3.4.9) to reduce to counting primes \(\equiv 1 \pmod{d}\) over \(d \leq \sqrt{x}\text{.}\)