Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2022/iii/paper-117/1/b/solution

The weighted sifting function is
Let and let the real Selberg sieve weights vanish unless and . Since
expansion and the distribution hypothesis give
For the optimizing Selberg weights, the main quadratic form is , where
Thus the general upper bound is
If 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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