Selberg sieve explained

In 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

\lex

and let

P

be a set of primes. Let

Ad

denote the set of elements of

A

divisible by

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

\lez

. The object of the sieve is to estimate

S(A,P,z)=\left\vertA\setminuscuppAp\right\vert.

We assume that |Ad| may be estimated by

\left\vertAd\right\vert=

1
f(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)=\sumd\mu(d)f(n/d)

f(n)=\sumdg(d)

where μ is the Möbius function. Put

V(z)=\sum\begin{smallmatrixd<z\d\midP(z)\end{smallmatrix}}

1
g(d)

.

Then

S(A,P,z)\le

X
V(z)

+O\left({\sum\begin{smallmatrixd1,d2<z\d1,d2\midP(z)\end{smallmatrix}}\left\vert

R
[d1,d2]

\right\vert}\right)

where

[d1,d2]

denotes the least common multiple of

d1

and

d2

. It is often useful to estimate

V(z)

by the bound

V(z)\ge\sumd

1
f(d)

.

Applications

References

. Christopher Hooley . Applications of sieve methods to the theory of numbers . Cambridge University Press . 1976 . 0-521-20915-3. 7–12 . 0327.10044 . Cambridge Tracts in Mathematics . 70 .