OAI/Combinatorics/SharpThreshold/ProjectionNorm.lean
5 declarations, 0 contain sorry, 0 declared as axioms
- theorem
OAI.Problem313.weighted_holder_four_thirdsline 13Source documentation
Weighted finite Hölder inequality with conjugate exponents
4/3and4. Weights need not be normalized.theorem weighted_holder_four_thirds {ι : Type u} [Fintype ι] (w v u : ι → ℝ) (hw : ∀ i, 0 ≤ w i) : |∑ i, w i * v i * u i| ≤ (∑ i, w i * |v i| ^ (4 / 3 : ℝ)) ^ (3 / 4 : ℝ) * (∑ i, w i * u i ^ 4) ^ (1 / 4 : ℝ) := by … - theorem
OAI.Problem313.projection_moment_boundline 61Source documentation
The scalar cancellation behind the
L⁴duality argument.theorem projection_moment_bound {M V H A : ℝ} (hM : 0 ≤ M) (hV : 0 ≤ V) (hH : 0 ≤ H) (hA : 0 ≤ A) (hdual : M ≤ V ^ (3 / 4 : ℝ) * H ^ (1 / 4 : ℝ)) (hfour : H ≤ A ^ 4 * M ^ 2) : M ≤ A ^ 2 * V ^ (3 / 2 : ℝ) := by … - theorem
OAI.Problem313.weighted_projection_boundline 95Source documentation
A low-degree fourth-moment bound implies the dual projection estimate. The hypothesis
hprojis the usual orthogonal-projection identity⟨v,u⟩ = ⟨u,u⟩; this formulation avoids choosing a normalized dual vector.theorem weighted_projection_bound {ι : Type u} [Fintype ι] (w v u : ι → ℝ) (hw : ∀ i, 0 ≤ w i) (A : ℝ) (hA : 0 ≤ A) (hproj : (∑ i, w i * v i * u i) = ∑ i, w i * u i ^ 2) (hfour : (∑ i, w i * u i ^ 4) ≤ A ^ 4 * (∑ i, w i * u i ^ 2) ^ 2) : (∑ i, w i * u i ^ 2) ≤ A ^ 2 * (∑ i, w i * |v i| ^ (4 / 3 : ℝ)) ^ (3 / 2 : ℝ) := by … - theorem
OAI.Problem313.weighted_projection_pivotal_boundline 113Source documentation
Dual projection estimate for functions taking their values in
{-1,0,1}, as Boolean coordinate differences do.theorem weighted_projection_pivotal_bound {ι : Type u} [Fintype ι] (w v u : ι → ℝ) (hw : ∀ i, 0 ≤ w i) (hv : ∀ i, v i = -1 ∨ v i = 0 ∨ v i = 1) (A : ℝ) (hA : 0 ≤ A) (hproj : (∑ i, w i * v i * u i) = ∑ i, w i * u i ^ 2) (hfour : (∑ i, w i * u i ^ 4) ≤ A ^ 4 * (∑ i, w i * u i ^ 2) ^ 2) : (∑ i, w i * u i ^ 2) ≤ A ^ 2 * (∑ i, if v i ≠ 0 then w i else 0) ^ (3 / 2 : ℝ) := by … - theorem
OAI.Problem313.weighted_projection_noise_boundline 130Source documentation
The exponent form used for low-degree projections of Boolean derivatives.
theorem weighted_projection_noise_bound {ι : Type u} [Fintype ι] (w v u : ι → ℝ) (hw : ∀ i, 0 ≤ w i) (hv : ∀ i, v i = -1 ∨ v i = 0 ∨ v i = 1) (ρ d : ℝ) (hρ : 0 ≤ ρ) (hproj : (∑ i, w i * v i * u i) = ∑ i, w i * u i ^ 2) (hfour : (∑ i, w i * u i ^ 4) ≤ ρ ^ (-4 * d) * (∑ i, w i * u i ^ 2) ^ 2) : (∑ i, w i * u i ^ 2) ≤ ρ ^ (-2 * d) * (∑ i, if v i ≠ 0 then w i else 0) ^ (3 / 2 : ℝ) := by …