Coarse-graining support: Support.Probability.IndependentSums.Rosenthal.Corollaries #
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
theorem
HCPolySupport.IndependentSums.integral_abs_centeredFinsetSum_pow_rpow_inv_le_rosenthal_polynomial
{Ω : Type u_1}
{ι : Type u_2}
[MeasurableSpace Ω]
{μ : MeasureTheory.Measure Ω}
[MeasureTheory.IsProbabilityMeasure μ]
{X : ι → Ω → ℝ}
{s : Finset ι}
(hs : s.Nonempty)
{p : ℕ}
(hp : 2 ≤ p)
(h_indep : ProbabilityTheory.iIndepFun X μ)
(h_meas : ∀ (i : ι), Measurable (X i))
(hLp_int : ∀ i ∈ s, MeasureTheory.Integrable (fun (ω : Ω) => |X i ω| ^ p) μ)
:
Note-facing polynomial-moment Rosenthal bound with the maximal term
replaced by the sum of the individual L^p moments.
theorem
HCPolySupport.IndependentSums.integral_absSum_pow_rpow_inv_le_rosenthalPolynomial
{Ω : Type u_1}
{ι : Type u_2}
[MeasurableSpace Ω]
{μ : MeasureTheory.Measure Ω}
[MeasureTheory.IsProbabilityMeasure μ]
{X : ι → Ω → ℝ}
{s : Finset ι}
(hs : s.Nonempty)
{p : ℕ}
(hp : 2 ≤ p)
(h_indep : ProbabilityTheory.iIndepFun X μ)
(h_meas : ∀ (i : ι), Measurable (X i))
(hLp_int : ∀ i ∈ s, MeasureTheory.Integrable (fun (ω : Ω) => |X i ω| ^ p) μ)
(hXmean : ∀ i ∈ s, ∫ (x : Ω), X i x ∂μ = 0)
:
Rosenthal's polynomial-moment corollary for finite sums of centered independent real random variables.
theorem
HCPolySupport.IndependentSums.centeredIndependent_sum_moment_le_RosenthalBound
{Ω : Type u_1}
{ι : Type u_2}
[MeasurableSpace Ω]
{μ : MeasureTheory.Measure Ω}
[MeasureTheory.IsProbabilityMeasure μ]
{X : ι → Ω → ℝ}
{s : Finset ι}
(hs : s.Nonempty)
{p : ℕ}
{K : ℝ}
(hp : 2 ≤ p)
(hK_nonneg : 0 ≤ K)
(h_indep : ProbabilityTheory.iIndepFun X μ)
(h_meas : ∀ (i : ι), Measurable (X i))
(hLp_int : ∀ i ∈ s, MeasureTheory.Integrable (fun (ω : Ω) => |X i ω| ^ p) μ)
(hXmean : ∀ i ∈ s, ∫ (x : Ω), X i x ∂μ = 0)
(hK : ∀ i ∈ s, (∫ (ω : Ω), |X i ω| ^ p ∂μ) ^ (1 / ↑p) ≤ K)
:
Uniform-K polynomial-moment Rosenthal corollary in the note-facing
finite-sum form.
theorem
HCPolySupport.IndependentSums.integral_abs_centeredFinsetSum_rpow_rpow_inv_le_rosenthal_polynomial
{Ω : Type u_1}
{ι : Type u_2}
[MeasurableSpace Ω]
{μ : MeasureTheory.Measure Ω}
[MeasureTheory.IsProbabilityMeasure μ]
{X : ι → Ω → ℝ}
{s : Finset ι}
(hs : s.Nonempty)
{p : ℝ}
(hp : 2 ≤ p)
(h_indep : ProbabilityTheory.iIndepFun X μ)
(h_meas : ∀ (i : ι), Measurable (X i))
(hLp_int : ∀ i ∈ s, MeasureTheory.Integrable (fun (ω : Ω) => |X i ω| ^ p) μ)
:
Real-exponent polynomial-moment Rosenthal bound with the maximal term
replaced by the sum of the individual L^p moments.
theorem
HCPolySupport.IndependentSums.integral_abs_finsetSum_rpow_rpow_inv_le_rosenthal_polynomial_of_iIndepFun_of_integral_eq_zero
{Ω : Type u_1}
{ι : Type u_2}
[MeasurableSpace Ω]
{μ : MeasureTheory.Measure Ω}
[MeasureTheory.IsProbabilityMeasure μ]
{X : ι → Ω → ℝ}
{s : Finset ι}
(hs : s.Nonempty)
{p : ℝ}
(hp : 2 ≤ p)
(h_indep : ProbabilityTheory.iIndepFun X μ)
(h_meas : ∀ (i : ι), Measurable (X i))
(hLp_int : ∀ i ∈ s, MeasureTheory.Integrable (fun (ω : Ω) => |X i ω| ^ p) μ)
(hXmean : ∀ i ∈ s, ∫ (x : Ω), X i x ∂μ = 0)
:
Real-exponent Rosenthal polynomial-moment corollary for centered independent finite sums.
theorem
HCPolySupport.IndependentSums.integral_abs_finiteSum_rpow_rpow_inv_le_rosenthal_uniform_polynomial
{Ω : Type u_1}
{ι : Type u_2}
[MeasurableSpace Ω]
{μ : MeasureTheory.Measure Ω}
[MeasureTheory.IsProbabilityMeasure μ]
{X : ι → Ω → ℝ}
{s : Finset ι}
(hs : s.Nonempty)
{p K : ℝ}
(hp : 2 ≤ p)
(hK_nonneg : 0 ≤ K)
(h_indep : ProbabilityTheory.iIndepFun X μ)
(h_meas : ∀ (i : ι), Measurable (X i))
(hLp_int : ∀ i ∈ s, MeasureTheory.Integrable (fun (ω : Ω) => |X i ω| ^ p) μ)
(hXmean : ∀ i ∈ s, ∫ (x : Ω), X i x ∂μ = 0)
(hK : ∀ i ∈ s, (∫ (ω : Ω), |X i ω| ^ p ∂μ) ^ p⁻¹ ≤ K)
:
Uniform real-exponent polynomial-moment Rosenthal corollary in the finite-sum form.