Worked solution: Maynard's multidimensional sieve: bounded gaps between primes (2013)
Imagine giving each integer in a big range a nonnegative 'weight' that is large exactly when have few small prime factors, so they are plausible candidates for being prime. If a cleverly weighted count of how many of the are prime, minus a target number , comes out positive overall, then some single in the range must actually contribute more than primes among .
Goldston, Pintz and Yıldırım built exactly such weights from the Möbius function , mimicking the classical Selberg sieve, and showed how to estimate the resulting sum precisely enough to find a positive contribution.
For a fixed admissible , nonnegative weights and a target , Maynard considers , where is the indicator function of the primes (Maynard 2013, §2, eq. 2.1). If for all large , some has weight and at least of prime — because everywhere, the only way the weighted sum can be positive is if the bracket is positive at some weighted point.
The classical GPY choice of weights is a Selberg-type square, , where is the Möbius function and is a parameter controlling how far the divisor sum runs (Maynard 2013, §2, eq. 2.2). Squaring guarantees , and the specific choice of coefficients makes computable via standard sieve technology, provided one knows how evenly primes are distributed in arithmetic progressions up to modulus around .
With this one-dimensional recipe, GPY could show gaps are infinitely often a vanishing fraction of , but not literally bounded — the weights treat the divisibility of the whole product as one block, which turns out to be too rigid. The next step is Maynard's fix.
- Sieve weight
- A nonnegative number attached to each integer in a range, designed so that contributes strongly to a counting sum exactly when have no small prime factors, mimicking primality.
- Möbius function ()
- The arithmetic function with , if is a product of distinct primes, and if has a repeated prime factor; it is the classical tool for turning divisor sums into sieve estimates via inclusion–exclusion.