OAI/Analysis/LipschitzHilbert/Phase/HomogeneousFourthMoment.lean
7 declarations, 0 contain sorry, 0 declared as axioms
Homogeneous fourth-moment bounds
The normalized combinatorial fourth-moment estimate is homogeneous of
degree three in the ℓ^(4/3) coefficient masses. These lemmas restore
the arbitrary coefficient normalization used in §7.
- theorem
OAI.LipschitzHilbert.PhaseCombinatorics.resonanceSum_smulline 22 - theorem
OAI.LipschitzHilbert.PhaseCombinatorics.resonanceSum_le_mass_cubeline 41 - theorem
OAI.LipschitzHilbert.PhaseCombinatorics.fourth_moment_le_mass_cubeline 75 - theorem
OAI.LipschitzHilbert.PhaseCombinatorics.resonanceSum_quantile_gap_mass_cubeline 84 - theorem
OAI.LipschitzHilbert.PhaseCombinatorics.fourth_moment_quantile_gap_mass_cubeline 115 - theorem
OAI.LipschitzHilbert.PhaseCombinatorics.fourth_moment_quantile_gap_mass_cube_simplifiedline 127 - theorem
OAI.LipschitzHilbert.PhaseCombinatorics.finiteFourier_dominant_boundline 144Source documentation
Application of the dominant estimate to an actual finite Fourier remainder. The two coefficient inequalities are supplied by the exponent-comparison step.
theorem finiteFourier_dominant_bound (ν : Measure ℝ) [IsProbabilityMeasure ν] (frequency : ι → ℝ) (a : ι → ℂ) {gap b r : ℝ} (hgap : 0 < gap) (hsep : Separated frequency gap) (hν : FourierGap ν gap) (hzero : ∀ i, gap / 4 ≤ |frequency i|) (hb : 0 ≤ b) (hsmall : b ≤ 1 / 64) (hr : 0 < r) (hrupper : r ≤ 3 / 2) (hsecond : ∑ i, ‖a i‖ ^ 2 ≤ b ^ 2) (hfourth : (∑ i, coefficientMass a i) ^ 3 ≤ 2 * b ^ 4) : (∫ t, ‖1 + finiteFourierSum frequency a t‖ ^ 4 ∂ν) ≤ (1 + b ^ r) ^ (4 / r) := by …Mentions: OAI.LipschitzHilbert.PhaseCombinatorics.Separated, OAI.LipschitzHilbert.PhaseCombinatorics.FourierGap, OAI.LipschitzHilbert.PhaseCombinatorics.coefficientMass, OAI.LipschitzHilbert.PhaseCombinatorics.finiteFourierSum