The Dirichlet kernel is near-maximal on the strongly major arc
ProvedTaoFivePrimes.norm_DK_ge_major_arcOn the strongly major arc the Dirichlet-type kernel is essentially at its trivial maximum:
Here and .
Why it is true with room to spare. On the major arc , so for every the phase satisfies . Every term of the sum therefore lies within of , and
The constant is thus enormously generous; it is stated rather than something sharper only because that is all the application needs. A proof can take the real part of each term and use , or bound the deviation by .
Why and not less. The statement is the missing lower-bound companion to the trivial upper bound TaoFivePrimes.norm_DK_le and to TaoFivePrimes.norm_DK_le_inv_three_small, and it is what lets the minor-arc mean square be computed as full circle minus major arc:
Since and , the constant is exactly what turns minor_arc_L2_full_circle_8001 and S1_major_arc_L2_mass_626 into minor_arc_L2_corrected. Anything above would do; is the round value that works.
Note the hypothesis is used only to make the arc small; no upper bound on is needed, since shrinking the arc only helps.
import Mathlib import Definitions.Def_TaoFivePrimes_ArcSplit open MeasureTheory
namespace TaoFivePrimes
theorem norm_DK_ge_major_arc (x : ℕ) (h1 : 87 * 10 ^ 35 ≤ x)
(α : AddCircle (1 : ℝ)) (hα : α ∈ majorArc x) :
0.98 * ((4 * 10 ^ 14 / 3 : ℕ) : ℝ) ≤ ‖DK (4 * 10 ^ 14) α‖ := by sorry
end TaoFivePrimes