theorem
Concentration.chernoff_bound
{Ω : Type u_1}
{m : MeasurableSpace Ω}
{μ : MeasureTheory.Measure Ω}
[MeasureTheory.IsProbabilityMeasure μ]
{n : ℕ}
(X : Fin n → Ω → ℝ)
(hIndep : ProbabilityTheory.iIndepFun X μ)
(hRange : ∀ (i : Fin n) (ω : Ω), X i ω = 0 ∨ X i ω = 1)
(p : ℝ)
(hp : 0 ≤ p)
(hp1 : p ≤ 1)
(hProb : ∀ (i : Fin n), μ.real {ω : Ω | X i ω = 1} = p)
(ε : ℝ)
(hε : 0 ≤ ε)
:
theorem
Concentration.hoeffding_bound
{Ω : Type u_1}
{m : MeasurableSpace Ω}
{μ : MeasureTheory.Measure Ω}
[MeasureTheory.IsProbabilityMeasure μ]
{n : ℕ}
(X : Fin n → Ω → ℝ)
(a : Fin n → ℝ)
(hIndep : ProbabilityTheory.iIndepFun X μ)
(hRange : ∀ (i : Fin n) (ω : Ω), X i ω = 1 ∨ X i ω = -1)
(hProb : ∀ (i : Fin n), μ.real {ω : Ω | X i ω = 1} = 1 / 2)
(ha : ∑ i : Fin n, a i ^ 2 = 1)
(t : ℝ)
(ht : 0 < t)
:
theorem
Concentration.levy_concentration_lipschitz
(n : ℕ)
(f : HighDimensional.UnitSphere n → ℝ)
(hf : LipschitzWith 1 f)
(M : ℝ)
(hM : HighDimensional.IsMedian (HighDimensional.uniformSphereMeasure n) f M)
(ε : ℝ)
(hε : 0 < ε)
(hne_low : {x : HighDimensional.UnitSphere n | f x ≤ M}.Nonempty)
(hne_high : {x : HighDimensional.UnitSphere n | f x ≥ M}.Nonempty)
:
theorem
VolumeHardness.volume_convex_hull_points_bound
(n : ℕ)
(hn : 0 < n)
(m : ℕ)
(hm : 0 < m)
(P : Fin m → Fin n → ℝ)
(hP : ∀ (i : Fin m), ‖P i‖ ≤ 1)
:
MeasureTheory.Measure.addHaar ((convexHull ℝ) (Set.range P)) ≤ ENNReal.ofReal (↑m / 2 ^ n) * MeasureTheory.Measure.addHaar (Metric.ball 0 1)
theorem
VolumeHardness.volume_computation_hardness
(n : ℕ)
(hn : 0 < n)
(m : ℕ)
(hm : 0 < m)
(P : Fin m → Fin n → ℝ)
(hP : ∀ (i : Fin m), ‖P i‖ ≤ 1)
:
MeasureTheory.Measure.addHaar (Metric.ball 0 1) ≥ ENNReal.ofReal (2 ^ n / ↑m) * MeasureTheory.Measure.addHaar ((convexHull ℝ) (Set.range P))