OAI/Combinatorics/SharpThreshold/LowDegreeConstants.lean
5 declarations, 0 contain sorry, 0 declared as axioms
- theorem
OAI.Problem313.sigma_mul_log_four_div_le_twoline 12Source documentation
Uniform bias-dependent logarithmic bound used in the low-degree estimate.
theorem sigma_mul_log_four_div_le_two {σ : ℝ} (hσ : 0 < σ) (hσhalf : σ ≤ 1 / 2) : σ * Real.log (4 / σ) ≤ 2 := by … - theorem
OAI.Problem313.noise_loss_le_rpowline 39Source documentation
The noise loss has a uniformly small power of the orbit-size parameter.
theorem noise_loss_le_rpow {σ m : ℝ} (hσ : 0 < σ) (hσhalf : σ ≤ 1 / 2) (hm : 1 ≤ m) : (σ / 4) ^ (-(2 : ℝ) * (σ * Real.log m / 64)) ≤ m ^ (1 / 16 : ℝ) := by … - theorem
OAI.Problem313.sigma_sq_mul_rpow_leline 57Source documentation
Absorb the residual quarter-variance factor and the stronger exponent.
theorem sigma_sq_mul_rpow_le {σ m : ℝ} (hσ : 0 ≤ σ) (hσhalf : σ ≤ 1 / 2) (hm : 1 ≤ m) : σ ^ 2 * m ^ (-5 / 16 : ℝ) ≤ m ^ (-1 / 4 : ℝ) := by … - theorem
OAI.Problem313.influence_three_halves_leline 70Source documentation
An individual influence contributes a small extra factor when total influence is small.
theorem influence_three_halves_le {a I m : ℝ} (ha : 0 ≤ a) (hm : 1 ≤ m) (hai : a ≤ I / m) (hI : I ≤ m ^ (1 / 4 : ℝ)) : a ^ (3 / 2 : ℝ) ≤ m ^ (-3 / 8 : ℝ) * a := by … - theorem
OAI.Problem313.sum_influence_three_halves_leline 97Source documentation
Sum the individual three-halves estimate without a cardinality loss.
theorem sum_influence_three_halves_le {ι : Type u} (s : Finset ι) (a : ι → ℝ) {m : ℝ} (hm : 1 ≤ m) (ha : ∀ i ∈ s, 0 ≤ a i) (horbit : ∀ i ∈ s, a i ≤ (∑ j ∈ s, a j) / m) (hsmall : (∑ j ∈ s, a j) ≤ m ^ (1 / 4 : ℝ)) : (∑ i ∈ s, a i ^ (3 / 2 : ℝ)) ≤ m ^ (-3 / 8 : ℝ) * (∑ i ∈ s, a i) := by …