Modern Sieve Applications
Modern sieve theory combines classical upper/lower bound sieves with additional input from algebraic geometry, harmonic analysis, and L-functions to achieve results beyond the parity barrier. The breakthroughs on gaps between primes exemplify this synthesis.
GPY Sieve and Bounded Gaps
The Goldston-Pintz-Yildirim (GPY) method uses a modified Selberg sieve with weights concentrated on integers such that several translates are simultaneously prime. The key quantity is where is a smooth Selberg-type weight and is a threshold. If , then some tuple contains at least primes.
Theorem (Maynard, 2013; Tao, polymath8b): . More generally, for every fixed , i.e., there are bounded gaps containing primes. The method uses multidimensional Selberg sieve weights optimized over a smooth function of variables.
Sieve and Algebraic Input
Friedlander-Iwaniec (1998): There are infinitely many primes of the form . The proof combines the half-dimensional sieve (sieving a thin sequence with density ) with bilinear form estimates using algebraic geometry over . This broke the parity barrier for a specific thin sequence by exploiting the algebraic structure of Gaussian integers.
The Green-Tao theorem (2004): the primes contain arbitrarily long arithmetic progressions. The proof uses SzemerΓ©di's theorem relativized to a pseudorandom set, with the pseudorandomness verified via sieve theory (the -trick and Goldston-Yildirim type estimates). This shows that sieve methods, combined with additive combinatorics, can prove results far beyond the classical sieve framework.
Numerical Sieve Applications
Chen's theorem (1966/1973): Every sufficiently large even number is the sum of a prime and a number that is either prime or a product of two primes (). The proof uses the weighted sieve (Rosser-Iwaniec linear sieve) with Bombieri-Vinogradov as input: . The sieve lower bound barely beats zero thanks to the level of distribution from BV.