Interpolating a high moment between a sup bound and a low moment
ProvedCircleMethod.holder_pow_interpolationanalytic-number-theorycircle-methodnumber-theorywaring-problem
The interpolation step of the circle method. If pointwise on a measurable set and , then
Elementary, but it is the exact shape the minor-arc argument needs. Neither of the two available estimates suffices alone: the pointwise Weyl bound controls but says nothing about the measure of the set where is large, while a mean value estimate such as Hua's inequality controls but not the maximum. Splitting and applying the sup bound to the first factor combines them, and it is that combination which makes the minor arcs negligible.
Formalization Note. Stated for an arbitrary measure space and an arbitrary normed target, since nothing in the argument is specific to the circle; only measurability of and integrability of on are required.
Preamble
import Definitions.Def_CircleMethod_char import Mathlib.MeasureTheory.Integral.Bochner.Set open MeasureTheory
Formal statement
namespace CircleMethod
theorem holder_pow_interpolation {X E : Type*} [MeasurableSpace X] [NormedAddCommGroup E]
{μ : Measure X} {A : Set X} (hA : MeasurableSet A) {f : X → E}
{M : ℝ} (hM : ∀ x ∈ A, ‖f x‖ ≤ M) {m s : ℕ} (hms : m ≤ s)
(hint : IntegrableOn (fun x => ‖f x‖ ^ m) A μ) :
∫ x in A, ‖f x‖ ^ s ∂μ ≤ M ^ (s - m) * ∫ x in A, ‖f x‖ ^ m ∂μ := by sorry
end CircleMethodSource
R. C. Vaughan, The Hardy-Littlewood Method, 2nd ed., Cambridge Tracts in Mathematics 125, Cambridge University Press, 1997, Chapter 2 and Chapter 4 (the minor-arc treatment, where the pointwise Weyl bound and Hua's mean value estimate are interpolated).