Y-uniform phase separation for the damped arctangent kernel #
This leaf separates the half-step parameter y from both coefficient
sequences. The four coefficient twists below are independent of y, so the
selector Y q χ may be chosen separately for every primitive character before
one applies the rectangular rank-one mean theorem. No maximal-mean estimate is
claimed here.
One rectangular rank-one character product.
Equations
- AnalyticNumberTheory.LargeSieve.phaseRankOneCharacterProduct a b Ma Mb Na Nb q χ = (∑ m ∈ Finset.Icc (Ma + 1) (Ma + ↑Na), a m * ↑χ ↑m) * ∑ n ∈ Finset.Icc (Mb + 1) (Mb + ↑Nb), b n * ↑χ ↑n
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The direct positive-frequency logarithmic kernel on a rectangle.
Equations
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Exact sin (A-B-C) expansion into four rank-one products.
Exact four-product separation of the whole rectangle.
Pointwise absolute-value control by the four rank-one character products.
The y-dependent factors occur only through their absolute values.
Y may select a different half-step for every primitive character. The
result is the pointwise interface needed before summing and invoking
rankOneRectangularWeightedPrimitiveMean_le separately on the four fixed
coefficient pairs.
Coefficient sine twists have the uniform log M energy loss needed by
the rank-one mean theorem.
Weighted selector mean. This is not a prefix maximum; it is only the phase-separated finite rectangular quantity to be connected to one later.
Equations
- AnalyticNumberTheory.LargeSieve.selectorDampedLogRectangularWeightedMean a b Y t Ma Mb Na Nb S = ∑ q ∈ S, ↑q / ↑q.totient * ∑ χ : AnalyticNumberTheory.LargeSieve.PrimitiveCharacter q, ‖AnalyticNumberTheory.LargeSieve.dampedLogRectangularCharacterSum a b (Y q χ) t Ma Mb Na Nb q χ‖
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Even when every character chooses its own y, the uniform phase bounds
reduce the weighted selector mean to the same four y-independent rank-one
means. Each term on the right is directly consumable by
rankOneRectangularWeightedPrimitiveMean_le.