Past exam of the mathematics course of the University of Cambridge 2003 iii Paper 22 4 Solution Created 2026-10-03 Updated 2026-10-14
The Selberg upper-bound sieve replaces an exact but long inclusion-exclusion expansion by a short nonnegative square, and then minimizes its main term. For an interval , the count of multiples of every integer isCrucially the remainder bound is independent of .
Let and take real weights , supported on squarefree , with . If , the sum of these weights over divisors of is just one; for all other its square is nonnegative. ThusExpanding and counting common multiples givesThis separates the local density from a uniform interval error. The weights will be chosen to minimize .
The Euler totient function identity yields the Selberg sieve diagonalizationOnly squarefree occur. Inverting this finite triangular sum by Möbius inversion givesWrite . The Cauchy-Schwarz inequality gives , with equality at . The inverse formula then produces the optimal Selberg sieve weightsThe constraints are satisfied, since the diagonal transformation is invertible and .
We need the leading constant, not just . Here is an elementary proof of the Selberg sieve denominator asymptotic. For define the multiplicative arithmetic function byChecking the prime-local factors shows . Also : the local factors for absolute values differ from one by , and their logarithmic first moments sum . The signed local sums are all one, so absolute convergence gives . Using the harmonic number estimate,For the last equality, is bounded and is bounded too.
The optimal Selberg weights have modulus at most one. To prove this here, for squarefree use . The product is the sum of over , , , with squarefree. All are distinct squarefree integers at most , and so these are a subset of the terms of . The displayed weight formula now gives . ConsequentlyEvery prime in the interval exceeding survives the sieve; at most smaller primes must be restored. Choose . Thenand the uniform interval bound from optimal Selberg weights follows:All constants are independent of . Given , make the absolute error in the coefficient smaller than by choosing large enough. Uniformly for every and ,
For all interval origins , the number of multiples of any in is with an absolute error bound. The Selberg sieve diagonalization minimizes , subject to , at . The optimal Selberg weights have modulus at most one, so the total remainder is . Restoring the at most small primes gives . Take and use the Selberg sieve denominator asymptotic. The resulting is independent of .