Algebra

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In mathematics, in the field of number theory, the Selberg sieve is a technique for estimating the size of "sifted sets" of positive integers which satisfy a set of conditions which are expressed by congruences. It was developed by Atle Selberg in the 1940s.

Description

In terms of sieve theory the Selberg sieve is of combinatorial type: that is, derives from a careful use of the inclusion-exclusion principle. Selberg replaced the values of the Möbius function which arise in this by a system of weights which are then optimised to fit the given problem. The result gives an upper bound for the size of the sifted set.

Let A be a set of positive integers ≤ x and let P be a set of primes. For each p in P, let Ap denote the set of elements of A divisible by p and extend this to let Ad the intersection of the Ap for p dividing d, when d is a product of distinct primes from P. Further let A1 denote A itself. Let z be a positive real number and P(z) denote the product of the primes in P which are ≤ z. The object of the sieve is to estimate

S(A,P,z)=|ApP(z)Ap|.

We assume that |Ad| may be estimated by

|Ad|=1f(d)X+Rd.

where f is a multiplicative function and X   =   |A|. Let the function g be obtained from f by Möbius inversion, that is

g(n)=dnμ(d)f(n/d)
f(n)=dng(d)

where μ is the Möbius function. Put

V(z)=d<zdP(z)μ2(d)g(d).

Then

S(A,P,z)XV(z)+O(d1,d2<zd1,d2P(z)|R[d1,d2]|).

It is often useful to estimate V(z) by the bound

V(z)dz1f(d).

Applications

References

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