The weighted sifting function isLet and let the real Selberg sieve weights vanish unless and . Sinceexpansion and the distribution hypothesis giveFor the optimizing Selberg weights, the main quadratic form is , whereThus the general upper bound isIf the sieve level is instead defined as the largest possible least common multiple, one supports the individual weights on ; this is the same statement after replacing by .
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